forked from kscience/kmath
Merge pull request #368 from mipt-npm/commandertvis/benchmarks
Update Jafama module documentation with some minor code amendments
This commit is contained in:
commit
cfe6c3ef4b
@ -175,7 +175,7 @@ One can still use generic algebras though.
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<hr/>
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* ### [kmath-functions](kmath-functions)
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> Functions, integration and interpolation
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>
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>
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> **Maturity**: EXPERIMENTAL
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>
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@ -204,6 +204,10 @@ One can still use generic algebras though.
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>
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>
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> **Maturity**: PROTOTYPE
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>
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> **Features:**
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> - [jafama-double](kmath-jafama/src/main/kotlin/space/kscience/kmath/jafama/) : Double ExtendedField implementations based on Jafama
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<hr/>
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* ### [kmath-jupyter](kmath-jupyter)
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@ -12,6 +12,7 @@ repositories {
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maven("https://repo.kotlin.link")
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maven("https://clojars.org/repo")
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maven("https://jitpack.io")
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maven("http://logicrunch.research.it.uu.se/maven") {
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isAllowInsecureProtocol = true
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}
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@ -13,44 +13,27 @@ import space.kscience.kmath.jafama.JafamaDoubleField
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import space.kscience.kmath.jafama.StrictJafamaDoubleField
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import space.kscience.kmath.operations.DoubleField
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import space.kscience.kmath.operations.invoke
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import kotlin.math.cos
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import kotlin.math.exp
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import kotlin.math.pow
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import kotlin.random.Random
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@State(Scope.Benchmark)
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internal class JafamaBenchmark {
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@Benchmark
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fun jafamaBench(blackhole: Blackhole) = invokeBenchmarks(jafama, blackhole)
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@Benchmark
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fun coreBench(blackhole: Blackhole) = invokeBenchmarks(core,blackhole)
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@Benchmark
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fun strictJafamaBench(blackhole: Blackhole) = invokeBenchmarks(strictJafama,blackhole)
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@Benchmark
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fun kotlinMathBench(blackhole: Blackhole) = invokeBenchmarks(kotlinMath, blackhole)
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private fun invokeBenchmarks(expr: Double, blackhole: Blackhole) {
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blackhole.consume(expr)
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fun jafamaBench(blackhole: Blackhole) = invokeBenchmarks(blackhole) { x ->
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JafamaDoubleField { x * power(x, 4) * exp(x) / cos(x) + sin(x) }
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}
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private companion object {
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private val x: Double = Double.MAX_VALUE
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@Benchmark
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fun coreBench(blackhole: Blackhole) = invokeBenchmarks(blackhole) { x ->
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DoubleField { x * power(x, 4) * exp(x) / cos(x) + sin(x) }
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}
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private val jafama = JafamaDoubleField{
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x * power(x, 1_000_000) * exp(x) / cos(x)
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}
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@Benchmark
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fun strictJafamaBench(blackhole: Blackhole) = invokeBenchmarks(blackhole) { x ->
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StrictJafamaDoubleField { x * power(x, 4) * exp(x) / cos(x) + sin(x) }
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}
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private val kotlinMath = x * x.pow(1_000_000) * exp(x) / cos(x)
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private val core = DoubleField {
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x * power(x, 1_000_000) * exp(x) / cos(x)
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}
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private val strictJafama = StrictJafamaDoubleField {
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x * power(x, 1_000_000) * exp(x) / cos(x)
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}
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private inline fun invokeBenchmarks(blackhole: Blackhole, expr: (Double) -> Double) {
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val rng = Random(0)
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repeat(1000000) { blackhole.consume(expr(rng.nextDouble())) }
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}
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}
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@ -37,10 +37,9 @@ kotlin.sourceSets {
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jsMain {
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dependencies {
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implementation(npm("astring", "1.7.4"))
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implementation(npm("binaryen", "100.0"))
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implementation(npm("js-base64", "3.6.0"))
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implementation(npm("webassembly", "0.11.0"))
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implementation(npm("astring", "1.7.5"))
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implementation(npm("binaryen", "101.0.0"))
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implementation(npm("js-base64", "3.6.1"))
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}
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}
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@ -9,7 +9,6 @@ import space.kscience.kmath.expressions.MstExtendedField
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import space.kscience.kmath.expressions.Symbol.Companion.x
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import space.kscience.kmath.expressions.invoke
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import space.kscience.kmath.operations.DoubleField
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import space.kscience.kmath.operations.bindSymbol
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import space.kscience.kmath.operations.invoke
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import kotlin.test.Test
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import kotlin.test.assertEquals
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@ -64,7 +64,7 @@ public object DoubleField : ExtendedField<Double>, Norm<Double, Double>, ScaleOp
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public override inline val zero: Double get() = 0.0
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public override inline val one: Double get() = 1.0
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public override fun number(value: Number): Double = value.toDouble()
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public override inline fun number(value: Number): Double = value.toDouble()
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public override fun binaryOperationFunction(operation: String): (left: Double, right: Double) -> Double =
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when (operation) {
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@ -77,7 +77,7 @@ public object DoubleField : ExtendedField<Double>, Norm<Double, Double>, ScaleOp
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public override inline fun multiply(a: Double, b: Double): Double = a * b
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public override inline fun divide(a: Double, b: Double): Double = a / b
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public override fun scale(a: Double, value: Double): Double = a * value
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public override inline fun scale(a: Double, value: Double): Double = a * value
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public override inline fun sin(arg: Double): Double = kotlin.math.sin(arg)
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public override inline fun cos(arg: Double): Double = kotlin.math.cos(arg)
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@ -93,6 +93,7 @@ public object DoubleField : ExtendedField<Double>, Norm<Double, Double>, ScaleOp
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public override inline fun acosh(arg: Double): Double = kotlin.math.acosh(arg)
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public override inline fun atanh(arg: Double): Double = kotlin.math.atanh(arg)
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public override inline fun sqrt(arg: Double): Double = kotlin.math.sqrt(arg)
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public override inline fun power(arg: Double, pow: Number): Double = arg.kpow(pow.toDouble())
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public override inline fun exp(arg: Double): Double = kotlin.math.exp(arg)
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public override inline fun ln(arg: Double): Double = kotlin.math.ln(arg)
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@ -143,6 +144,7 @@ public object FloatField : ExtendedField<Float>, Norm<Float, Float> {
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public override inline fun acosh(arg: Float): Float = kotlin.math.acosh(arg)
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public override inline fun atanh(arg: Float): Float = kotlin.math.atanh(arg)
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public override inline fun sqrt(arg: Float): Float = kotlin.math.sqrt(arg)
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public override inline fun power(arg: Float, pow: Number): Float = arg.kpow(pow.toFloat())
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public override inline fun exp(arg: Float): Float = kotlin.math.exp(arg)
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public override inline fun ln(arg: Float): Float = kotlin.math.ln(arg)
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@ -3,6 +3,8 @@ plugins {
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id("ru.mipt.npm.gradle.common")
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}
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description = "Functions, integration and interpolation"
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kotlin.sourceSets.commonMain {
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dependencies {
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api(project(":kmath-core"))
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@ -10,7 +12,6 @@ kotlin.sourceSets.commonMain {
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}
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readme {
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description = "Functions, integration and interpolation"
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maturity = ru.mipt.npm.gradle.Maturity.EXPERIMENTAL
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propertyByTemplate("artifact", rootProject.file("docs/templates/ARTIFACT-TEMPLATE.md"))
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@ -1,80 +1,144 @@
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# Module kmath-jafama
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Jafama based implementation of DoubleField of kmath-operations.
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Integration with [Jafama](https://github.com/jeffhain/jafama).
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- JafamaDoubleField : DoubleField implementation using FastMath
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- StrictJafamaDoubleField - DoubleField implementation using StrictFastMath
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- [jafama-double](src/main/kotlin/space/kscience/kmath/jafama/) : Double ExtendedField implementations based on Jafama
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## Examples
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Different Operations on DoubleField
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## Artifact:
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The Maven coordinates of this project are `space.kscience:kmath-jafama:0.3.0-dev-13`.
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**Gradle:**
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```gradle
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repositories {
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maven { url 'https://repo.kotlin.link' }
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mavenCentral()
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}
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dependencies {
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implementation 'space.kscience:kmath-jafama:0.3.0-dev-13'
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}
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```
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**Gradle Kotlin DSL:**
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```kotlin
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package space.kscience.kmath.jafama
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repositories {
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maven("https://repo.kotlin.link")
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mavenCentral()
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}
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import net.jafama.FastMath
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fun main(){
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val a = JafamaDoubleField.number(2.0)
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val b = StrictJafamaDoubleField.power(FastMath.E,a)
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println(JafamaDoubleField.add(b,a))
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println(StrictJafamaDoubleField.ln(b))
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dependencies {
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implementation("space.kscience:kmath-jafama:0.3.0-dev-13")
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}
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```
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## Benchmarks
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Comparing Operations on DoubleField and JafamaDoubleField
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```bash
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## Example usage
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All the `DoubleField` uses can be replaced with `JafamaDoubleField` or `StrictJafamaDoubleField`.
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```kotlin
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import space.kscience.kmath.jafama.*
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import space.kscience.kmath.operations.*
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fun main() {
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val a = 2.0
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val b = StrictJafamaDoubleField { exp(a) }
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println(JafamaDoubleField { b + a })
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println(StrictJafamaDoubleField { ln(b) })
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}
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```
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## Performance
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According to benchmarking data, on Hotspot Jafama functions are 20% faster than JDK math. On GraalVM, they are slower.
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<details>
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<summary>Raw data:</summary>
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**Hotspot**
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```
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jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.coreBench
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Warm-up 1: 384414358.081 ops/s
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Iteration 1: 374827571.951 ops/s
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Iteration 2: 479335182.332 ops/s
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Iteration 3: 475483069.577 ops/s
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Iteration 4: 478235949.414 ops/s
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Iteration 5: 472256385.114 ops/s
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Warm-up 1: 11.447 ops/s
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Iteration 1: 13.354 ops/s
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Iteration 2: 14.237 ops/s
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Iteration 3: 14.708 ops/s
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Iteration 4: 14.629 ops/s
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Iteration 5: 14.692 ops/s
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456027631.678 ±(99.9%) 175106815.384 ops/s [Average]
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(min, avg, max) = (374827571.951, 456027631.678, 479335182.332), stdev = 45474683.880
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CI (99.9%): [280920816.294, 631134447.061] (assumes normal distribution)
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14.324 ±(99.9%) 2.217 ops/s [Average]
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(min, avg, max) = (13.354, 14.324, 14.708), stdev = 0.576
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CI (99.9%): [12.107, 16.541] (assumes normal distribution)
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jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.jafamaBench
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Warm-up 1: 359418665.041 ops/s
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Iteration 1: 335704885.798 ops/s
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Iteration 2: 427684801.542 ops/s
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Iteration 3: 452193034.265 ops/s
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Iteration 4: 433855064.931 ops/s
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Iteration 5: 453863386.566 ops/s
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Warm-up 1: 15.628 ops/s
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Iteration 1: 15.991 ops/s
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Iteration 2: 16.633 ops/s
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Iteration 3: 16.583 ops/s
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Iteration 4: 16.716 ops/s
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Iteration 5: 16.762 ops/s
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420660234.620 ±(99.9%) 188028426.875 ops/s [Average]
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(min, avg, max) = (335704885.798, 420660234.620, 453863386.566), stdev = 48830385.349
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CI (99.9%): [232631807.746, 608688661.495] (assumes normal distribution)
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jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.kotlinMathBench
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Warm-up 1: 371570418.113 ops/s
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Iteration 1: 379281146.127 ops/s
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Iteration 2: 465234403.109 ops/s
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Iteration 3: 470621634.240 ops/s
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Iteration 4: 467074553.006 ops/s
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Iteration 5: 466424840.144 ops/s
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449727315.325 ±(99.9%) 151837475.500 ops/s [Average]
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(min, avg, max) = (379281146.127, 449727315.325, 470621634.240), stdev = 39431710.207
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CI (99.9%): [297889839.825, 601564790.825] (assumes normal distribution)
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16.537 ±(99.9%) 1.205 ops/s [Average]
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(min, avg, max) = (15.991, 16.537, 16.762), stdev = 0.313
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CI (99.9%): [15.332, 17.743] (assumes normal distribution)
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jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.strictJafamaBench
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Warm-up 1: 371241281.065 ops/s
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Iteration 1: 374490259.387 ops/s
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Iteration 2: 464995837.424 ops/s
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Iteration 3: 469788706.385 ops/s
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Iteration 4: 469528470.682 ops/s
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Iteration 5: 456727921.978 ops/s
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Warm-up 1: 13.378 ops/s
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Iteration 1: 15.049 ops/s
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Iteration 2: 14.468 ops/s
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Iteration 3: 14.469 ops/s
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Iteration 4: 14.753 ops/s
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Iteration 5: 14.958 ops/s
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447106239.171 ±(99.9%) 157629035.980 ops/s [Average]
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(min, avg, max) = (374490259.387, 447106239.171, 469788706.385), stdev = 40935760.071
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CI (99.9%): [289477203.192, 604735275.151] (assumes normal distribution)
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14.739 ±(99.9%) 1.038 ops/s [Average]
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(min, avg, max) = (14.468, 14.739, 15.049), stdev = 0.269
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CI (99.9%): [13.701, 15.777] (assumes normal distribution)
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```
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|
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**GraalVM**
|
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|
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```
|
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jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.coreBench
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Warm-up 1: 14.357 ops/s
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Iteration 1: 14.768 ops/s
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Iteration 2: 14.922 ops/s
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Iteration 3: 14.966 ops/s
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Iteration 4: 14.805 ops/s
|
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Iteration 5: 14.520 ops/s
|
||||
|
||||
14.796 ±(99.9%) 0.671 ops/s [Average]
|
||||
(min, avg, max) = (14.520, 14.796, 14.966), stdev = 0.174
|
||||
CI (99.9%): [14.125, 15.468] (assumes normal distribution)
|
||||
|
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jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.jafamaBench
|
||||
|
||||
Warm-up 1: 11.592 ops/s
|
||||
Iteration 1: 12.174 ops/s
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Iteration 2: 11.734 ops/s
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||||
Iteration 3: 11.939 ops/s
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||||
Iteration 4: 12.026 ops/s
|
||||
Iteration 5: 12.221 ops/s
|
||||
|
||||
12.019 ±(99.9%) 0.752 ops/s [Average]
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||||
(min, avg, max) = (11.734, 12.019, 12.221), stdev = 0.195
|
||||
CI (99.9%): [11.267, 12.771] (assumes normal distribution)
|
||||
|
||||
jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.strictJafamaBench
|
||||
|
||||
Warm-up 1: 12.097 ops/s
|
||||
Iteration 1: 13.072 ops/s
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||||
Iteration 2: 13.112 ops/s
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Iteration 3: 13.103 ops/s
|
||||
Iteration 4: 12.950 ops/s
|
||||
Iteration 5: 13.011 ops/s
|
||||
|
||||
13.049 ±(99.9%) 0.263 ops/s [Average]
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||||
(min, avg, max) = (12.950, 13.049, 13.112), stdev = 0.068
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||||
CI (99.9%): [12.787, 13.312] (assumes normal distribution)
|
||||
```
|
||||
|
||||
</details>
|
||||
|
@ -2,6 +2,8 @@ plugins {
|
||||
id("ru.mipt.npm.gradle.jvm")
|
||||
}
|
||||
|
||||
description = "Jafama integration module"
|
||||
|
||||
dependencies {
|
||||
api(project(":kmath-core"))
|
||||
api("net.jafama:jafama:2.3.2")
|
||||
@ -13,6 +15,11 @@ repositories {
|
||||
|
||||
readme {
|
||||
maturity = ru.mipt.npm.gradle.Maturity.PROTOTYPE
|
||||
propertyByTemplate("artifact", rootProject.file("docs/templates/ARTIFACT-TEMPLATE.md"))
|
||||
|
||||
feature("jafama-double", "src/main/kotlin/space/kscience/kmath/jafama/") {
|
||||
"Double ExtendedField implementations based on Jafama"
|
||||
}
|
||||
}
|
||||
|
||||
kotlin.sourceSets.all {
|
||||
|
118
kmath-jafama/docs/README-TEMPLATE.md
Normal file
118
kmath-jafama/docs/README-TEMPLATE.md
Normal file
@ -0,0 +1,118 @@
|
||||
# Module kmath-jafama
|
||||
|
||||
Integration with [Jafama](https://github.com/jeffhain/jafama).
|
||||
|
||||
${features}
|
||||
|
||||
${artifact}
|
||||
|
||||
## Example usage
|
||||
|
||||
All the `DoubleField` uses can be replaced with `JafamaDoubleField` or `StrictJafamaDoubleField`.
|
||||
|
||||
```kotlin
|
||||
import space.kscience.kmath.jafama.*
|
||||
import space.kscience.kmath.operations.*
|
||||
|
||||
fun main() {
|
||||
val a = 2.0
|
||||
val b = StrictJafamaDoubleField { exp(a) }
|
||||
println(JafamaDoubleField { b + a })
|
||||
println(StrictJafamaDoubleField { ln(b) })
|
||||
}
|
||||
```
|
||||
|
||||
## Performance
|
||||
|
||||
According to benchmarking data, on Hotspot Jafama functions are 20% faster than JDK math. On GraalVM, they are slower.
|
||||
|
||||
<details>
|
||||
<summary>Raw data:</summary>
|
||||
|
||||
**Hotspot**
|
||||
|
||||
```
|
||||
jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.coreBench
|
||||
|
||||
Warm-up 1: 11.447 ops/s
|
||||
Iteration 1: 13.354 ops/s
|
||||
Iteration 2: 14.237 ops/s
|
||||
Iteration 3: 14.708 ops/s
|
||||
Iteration 4: 14.629 ops/s
|
||||
Iteration 5: 14.692 ops/s
|
||||
|
||||
14.324 ±(99.9%) 2.217 ops/s [Average]
|
||||
(min, avg, max) = (13.354, 14.324, 14.708), stdev = 0.576
|
||||
CI (99.9%): [12.107, 16.541] (assumes normal distribution)
|
||||
|
||||
jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.jafamaBench
|
||||
|
||||
Warm-up 1: 15.628 ops/s
|
||||
Iteration 1: 15.991 ops/s
|
||||
Iteration 2: 16.633 ops/s
|
||||
Iteration 3: 16.583 ops/s
|
||||
Iteration 4: 16.716 ops/s
|
||||
Iteration 5: 16.762 ops/s
|
||||
|
||||
16.537 ±(99.9%) 1.205 ops/s [Average]
|
||||
(min, avg, max) = (15.991, 16.537, 16.762), stdev = 0.313
|
||||
CI (99.9%): [15.332, 17.743] (assumes normal distribution)
|
||||
|
||||
jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.strictJafamaBench
|
||||
|
||||
Warm-up 1: 13.378 ops/s
|
||||
Iteration 1: 15.049 ops/s
|
||||
Iteration 2: 14.468 ops/s
|
||||
Iteration 3: 14.469 ops/s
|
||||
Iteration 4: 14.753 ops/s
|
||||
Iteration 5: 14.958 ops/s
|
||||
|
||||
14.739 ±(99.9%) 1.038 ops/s [Average]
|
||||
(min, avg, max) = (14.468, 14.739, 15.049), stdev = 0.269
|
||||
CI (99.9%): [13.701, 15.777] (assumes normal distribution)
|
||||
```
|
||||
|
||||
**GraalVM**
|
||||
|
||||
```
|
||||
jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.coreBench
|
||||
|
||||
Warm-up 1: 14.357 ops/s
|
||||
Iteration 1: 14.768 ops/s
|
||||
Iteration 2: 14.922 ops/s
|
||||
Iteration 3: 14.966 ops/s
|
||||
Iteration 4: 14.805 ops/s
|
||||
Iteration 5: 14.520 ops/s
|
||||
|
||||
14.796 ±(99.9%) 0.671 ops/s [Average]
|
||||
(min, avg, max) = (14.520, 14.796, 14.966), stdev = 0.174
|
||||
CI (99.9%): [14.125, 15.468] (assumes normal distribution)
|
||||
|
||||
jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.jafamaBench
|
||||
|
||||
Warm-up 1: 11.592 ops/s
|
||||
Iteration 1: 12.174 ops/s
|
||||
Iteration 2: 11.734 ops/s
|
||||
Iteration 3: 11.939 ops/s
|
||||
Iteration 4: 12.026 ops/s
|
||||
Iteration 5: 12.221 ops/s
|
||||
|
||||
12.019 ±(99.9%) 0.752 ops/s [Average]
|
||||
(min, avg, max) = (11.734, 12.019, 12.221), stdev = 0.195
|
||||
CI (99.9%): [11.267, 12.771] (assumes normal distribution)
|
||||
|
||||
jvm: space.kscience.kmath.benchmarks.JafamaBenchmark.strictJafamaBench
|
||||
|
||||
Warm-up 1: 12.097 ops/s
|
||||
Iteration 1: 13.072 ops/s
|
||||
Iteration 2: 13.112 ops/s
|
||||
Iteration 3: 13.103 ops/s
|
||||
Iteration 4: 12.950 ops/s
|
||||
Iteration 5: 13.011 ops/s
|
||||
|
||||
13.049 ±(99.9%) 0.263 ops/s [Average]
|
||||
(min, avg, max) = (12.950, 13.049, 13.112), stdev = 0.068
|
||||
CI (99.9%): [12.787, 13.312] (assumes normal distribution)
|
||||
```
|
||||
|
||||
</details>
|
@ -1,17 +1,21 @@
|
||||
package space.kscience.kmath.jafama
|
||||
|
||||
import space.kscience.kmath.operations.*
|
||||
import net.jafama.*
|
||||
import net.jafama.FastMath
|
||||
import net.jafama.StrictFastMath
|
||||
import space.kscience.kmath.operations.ExtendedField
|
||||
import space.kscience.kmath.operations.Norm
|
||||
import space.kscience.kmath.operations.PowerOperations
|
||||
import space.kscience.kmath.operations.ScaleOperations
|
||||
|
||||
/**
|
||||
* A field for [Double] (using FastMath) without boxing. Does not produce appropriate field element.
|
||||
*/
|
||||
@Suppress("EXTENSION_SHADOWED_BY_MEMBER", "OVERRIDE_BY_INLINE", "NOTHING_TO_INLINE")
|
||||
public object JafamaDoubleField : ExtendedField<Double>, Norm<Double, Double>, ScaleOperations<Double> {
|
||||
public override val zero: Double get() = 0.0
|
||||
public override val one: Double get() = 1.0
|
||||
public override inline val zero: Double get() = 0.0
|
||||
public override inline val one: Double get() = 1.0
|
||||
|
||||
public override fun number(value: Number): Double = value.toDouble()
|
||||
public override inline fun number(value: Number): Double = value.toDouble()
|
||||
|
||||
public override fun binaryOperationFunction(operation: String): (left: Double, right: Double) -> Double =
|
||||
when (operation) {
|
||||
@ -19,38 +23,39 @@ public object JafamaDoubleField : ExtendedField<Double>, Norm<Double, Double>, S
|
||||
else -> super<ExtendedField>.binaryOperationFunction(operation)
|
||||
}
|
||||
|
||||
public override fun add(a: Double, b: Double): Double = a + b
|
||||
public override inline fun add(a: Double, b: Double): Double = a + b
|
||||
|
||||
public override fun multiply(a: Double, b: Double): Double = a * b
|
||||
public override fun divide(a: Double, b: Double): Double = a / b
|
||||
public override inline fun multiply(a: Double, b: Double): Double = a * b
|
||||
public override inline fun divide(a: Double, b: Double): Double = a / b
|
||||
|
||||
public override fun scale(a: Double, value: Double): Double = a * value
|
||||
public override inline fun scale(a: Double, value: Double): Double = a * value
|
||||
|
||||
public override fun sin(arg: Double): Double = FastMath.sin(arg)
|
||||
public override fun cos(arg: Double): Double = FastMath.cos(arg)
|
||||
public override fun tan(arg: Double): Double = FastMath.tan(arg)
|
||||
public override fun acos(arg: Double): Double = FastMath.acos(arg)
|
||||
public override fun asin(arg: Double): Double = FastMath.asin(arg)
|
||||
public override fun atan(arg: Double): Double = FastMath.atan(arg)
|
||||
public override inline fun sin(arg: Double): Double = FastMath.sin(arg)
|
||||
public override inline fun cos(arg: Double): Double = FastMath.cos(arg)
|
||||
public override inline fun tan(arg: Double): Double = FastMath.tan(arg)
|
||||
public override inline fun acos(arg: Double): Double = FastMath.acos(arg)
|
||||
public override inline fun asin(arg: Double): Double = FastMath.asin(arg)
|
||||
public override inline fun atan(arg: Double): Double = FastMath.atan(arg)
|
||||
|
||||
public override fun sinh(arg: Double): Double = FastMath.sinh(arg)
|
||||
public override fun cosh(arg: Double): Double = FastMath.cosh(arg)
|
||||
public override fun tanh(arg: Double): Double = FastMath.tanh(arg)
|
||||
public override fun asinh(arg: Double): Double = FastMath.asinh(arg)
|
||||
public override fun acosh(arg: Double): Double = FastMath.acosh(arg)
|
||||
public override fun atanh(arg: Double): Double = FastMath.atanh(arg)
|
||||
public override inline fun sinh(arg: Double): Double = FastMath.sinh(arg)
|
||||
public override inline fun cosh(arg: Double): Double = FastMath.cosh(arg)
|
||||
public override inline fun tanh(arg: Double): Double = FastMath.tanh(arg)
|
||||
public override inline fun asinh(arg: Double): Double = FastMath.asinh(arg)
|
||||
public override inline fun acosh(arg: Double): Double = FastMath.acosh(arg)
|
||||
public override inline fun atanh(arg: Double): Double = FastMath.atanh(arg)
|
||||
|
||||
public override fun power(arg: Double, pow: Number): Double = FastMath.pow(arg, pow.toDouble())
|
||||
public override fun exp(arg: Double): Double = FastMath.exp(arg)
|
||||
public override fun ln(arg: Double): Double = FastMath.log(arg)
|
||||
public override inline fun sqrt(arg: Double): Double = FastMath.sqrt(arg)
|
||||
public override inline fun power(arg: Double, pow: Number): Double = FastMath.pow(arg, pow.toDouble())
|
||||
public override inline fun exp(arg: Double): Double = FastMath.exp(arg)
|
||||
public override inline fun ln(arg: Double): Double = FastMath.log(arg)
|
||||
|
||||
public override fun norm(arg: Double): Double = FastMath.abs(arg)
|
||||
public override inline fun norm(arg: Double): Double = FastMath.abs(arg)
|
||||
|
||||
public override fun Double.unaryMinus(): Double = -this
|
||||
public override fun Double.plus(b: Double): Double = this + b
|
||||
public override fun Double.minus(b: Double): Double = this - b
|
||||
public override fun Double.times(b: Double): Double = this * b
|
||||
public override fun Double.div(b: Double): Double = this / b
|
||||
public override inline fun Double.unaryMinus(): Double = -this
|
||||
public override inline fun Double.plus(b: Double): Double = this + b
|
||||
public override inline fun Double.minus(b: Double): Double = this - b
|
||||
public override inline fun Double.times(b: Double): Double = this * b
|
||||
public override inline fun Double.div(b: Double): Double = this / b
|
||||
}
|
||||
|
||||
/**
|
||||
@ -58,10 +63,10 @@ public object JafamaDoubleField : ExtendedField<Double>, Norm<Double, Double>, S
|
||||
*/
|
||||
@Suppress("EXTENSION_SHADOWED_BY_MEMBER", "OVERRIDE_BY_INLINE", "NOTHING_TO_INLINE")
|
||||
public object StrictJafamaDoubleField : ExtendedField<Double>, Norm<Double, Double>, ScaleOperations<Double> {
|
||||
public override val zero: Double get() = 0.0
|
||||
public override val one: Double get() = 1.0
|
||||
public override inline val zero: Double get() = 0.0
|
||||
public override inline val one: Double get() = 1.0
|
||||
|
||||
public override fun number(value: Number): Double = value.toDouble()
|
||||
public override inline fun number(value: Number): Double = value.toDouble()
|
||||
|
||||
public override fun binaryOperationFunction(operation: String): (left: Double, right: Double) -> Double =
|
||||
when (operation) {
|
||||
@ -69,38 +74,37 @@ public object StrictJafamaDoubleField : ExtendedField<Double>, Norm<Double, Doub
|
||||
else -> super<ExtendedField>.binaryOperationFunction(operation)
|
||||
}
|
||||
|
||||
public override fun add(a: Double, b: Double): Double = a + b
|
||||
public override inline fun add(a: Double, b: Double): Double = a + b
|
||||
|
||||
public override fun multiply(a: Double, b: Double): Double = a * b
|
||||
public override fun divide(a: Double, b: Double): Double = a / b
|
||||
public override inline fun multiply(a: Double, b: Double): Double = a * b
|
||||
public override inline fun divide(a: Double, b: Double): Double = a / b
|
||||
|
||||
public override fun scale(a: Double, value: Double): Double = a * value
|
||||
public override inline fun scale(a: Double, value: Double): Double = a * value
|
||||
|
||||
public override fun sin(arg: Double): Double = StrictFastMath.sin(arg)
|
||||
public override fun cos(arg: Double): Double = StrictFastMath.cos(arg)
|
||||
public override fun tan(arg: Double): Double = StrictFastMath.tan(arg)
|
||||
public override fun acos(arg: Double): Double = StrictFastMath.acos(arg)
|
||||
public override fun asin(arg: Double): Double = StrictFastMath.asin(arg)
|
||||
public override fun atan(arg: Double): Double = StrictFastMath.atan(arg)
|
||||
public override inline fun sin(arg: Double): Double = StrictFastMath.sin(arg)
|
||||
public override inline fun cos(arg: Double): Double = StrictFastMath.cos(arg)
|
||||
public override inline fun tan(arg: Double): Double = StrictFastMath.tan(arg)
|
||||
public override inline fun acos(arg: Double): Double = StrictFastMath.acos(arg)
|
||||
public override inline fun asin(arg: Double): Double = StrictFastMath.asin(arg)
|
||||
public override inline fun atan(arg: Double): Double = StrictFastMath.atan(arg)
|
||||
|
||||
public override fun sinh(arg: Double): Double = StrictFastMath.sinh(arg)
|
||||
public override fun cosh(arg: Double): Double = StrictFastMath.cosh(arg)
|
||||
public override fun tanh(arg: Double): Double = StrictFastMath.tanh(arg)
|
||||
public override fun asinh(arg: Double): Double = StrictFastMath.asinh(arg)
|
||||
public override fun acosh(arg: Double): Double = StrictFastMath.acosh(arg)
|
||||
public override fun atanh(arg: Double): Double = StrictFastMath.atanh(arg)
|
||||
public override inline fun sinh(arg: Double): Double = StrictFastMath.sinh(arg)
|
||||
public override inline fun cosh(arg: Double): Double = StrictFastMath.cosh(arg)
|
||||
public override inline fun tanh(arg: Double): Double = StrictFastMath.tanh(arg)
|
||||
public override inline fun asinh(arg: Double): Double = StrictFastMath.asinh(arg)
|
||||
public override inline fun acosh(arg: Double): Double = StrictFastMath.acosh(arg)
|
||||
public override inline fun atanh(arg: Double): Double = StrictFastMath.atanh(arg)
|
||||
|
||||
public override fun power(arg: Double, pow: Number): Double = StrictFastMath.pow(arg, pow.toDouble())
|
||||
public override fun exp(arg: Double): Double = StrictFastMath.exp(arg)
|
||||
public override fun ln(arg: Double): Double = StrictFastMath.log(arg)
|
||||
public override inline fun sqrt(arg: Double): Double = StrictFastMath.sqrt(arg)
|
||||
public override inline fun power(arg: Double, pow: Number): Double = StrictFastMath.pow(arg, pow.toDouble())
|
||||
public override inline fun exp(arg: Double): Double = StrictFastMath.exp(arg)
|
||||
public override inline fun ln(arg: Double): Double = StrictFastMath.log(arg)
|
||||
|
||||
public override fun norm(arg: Double): Double = StrictFastMath.abs(arg)
|
||||
public override inline fun norm(arg: Double): Double = StrictFastMath.abs(arg)
|
||||
|
||||
public override fun Double.unaryMinus(): Double = -this
|
||||
public override fun Double.plus(b: Double): Double = this + b
|
||||
public override fun Double.minus(b: Double): Double = this - b
|
||||
public override fun Double.times(b: Double): Double = this * b
|
||||
public override fun Double.div(b: Double): Double = this / b
|
||||
public override inline fun Double.unaryMinus(): Double = -this
|
||||
public override inline fun Double.plus(b: Double): Double = this + b
|
||||
public override inline fun Double.minus(b: Double): Double = this - b
|
||||
public override inline fun Double.times(b: Double): Double = this * b
|
||||
public override inline fun Double.div(b: Double): Double = this / b
|
||||
}
|
||||
|
||||
|
||||
|
Loading…
Reference in New Issue
Block a user