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Merge pull request #324 from mipt-npm/dev

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v0.3.0-dev-9
This commit is contained in:
Alexander Nozik 2021-05-08 17:16:29 +03:00 committed by GitHub
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182 changed files with 9263 additions and 2823 deletions
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6
.github/workflows/build.yml vendored
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@ -13,9 +13,11 @@ jobs:
- name: Checkout the repo
uses: actions/checkout@v2
- name: Set up JDK 11
uses: actions/setup-java@v1
uses: DeLaGuardo/setup-graalvm@4.0
with:
java-version: 11
graalvm: 21.1.0
java: java11
arch: amd64
- name: Add msys to path
if: matrix.os == 'windows-latest'
run: SETX PATH "%PATH%;C:\msys64\mingw64\bin"

4
.github/workflows/pages.yml vendored
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@ -16,9 +16,7 @@ jobs:
with:
java-version: 11
- name: Build
run: |
./gradlew dokkaHtmlMultiModule --no-daemon --no-parallel --stacktrace
mv build/dokka/htmlMultiModule/-modules.html build/dokka/htmlMultiModule/index.html
run: ./gradlew dokkaHtmlMultiModule --no-daemon --no-parallel --stacktrace
- name: Deploy to GitHub Pages
uses: JamesIves/github-pages-deploy-action@4.1.0
with:

6
.github/workflows/publish.yml vendored
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@ -18,9 +18,11 @@ jobs:
- name: Checkout the repo
uses: actions/checkout@v2
- name: Set up JDK 11
uses: actions/setup-java@v1
uses: DeLaGuardo/setup-graalvm@4.0
with:
java-version: 11
graalvm: 21.1.0
java: java11
arch: amd64
- name: Add msys to path
if: matrix.os == 'windows-latest'
run: SETX PATH "%PATH%;C:\msys64\mingw64\bin"

1
.gitignore vendored
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@ -5,6 +5,7 @@ out/
.idea/
!.idea/copyright/
!.idea/scopes/
.vscode/

10
.idea/copyright/kmath.xml
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@ -1,6 +1,6 @@
<component name="CopyrightManager">
<copyright>
<option name="notice" value="Copyright 2018-2021 KMath contributors.&#10;Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file." />
<option name="myName" value="kmath" />
</copyright>
</component>
<copyright>
<option name="notice" value="Copyright 2018-2021 KMath contributors.&#10;Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file." />
<option name="myName" value="kmath" />
</copyright>
</component>

16
.idea/copyright/profiles_settings.xml
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@ -1,7 +1,21 @@
<component name="CopyrightManager">
<settings default="kmath">
<module2copyright>
<element module="Project Files" copyright="kmath" />
<element module="Apply copyright" copyright="kmath" />
</module2copyright>
<LanguageOptions name="Groovy">
<option name="fileTypeOverride" value="1" />
</LanguageOptions>
<LanguageOptions name="HTML">
<option name="fileTypeOverride" value="1" />
<option name="prefixLines" value="false" />
</LanguageOptions>
<LanguageOptions name="Properties">
<option name="fileTypeOverride" value="1" />
</LanguageOptions>
<LanguageOptions name="XML">
<option name="fileTypeOverride" value="1" />
<option name="prefixLines" value="false" />
</LanguageOptions>
</settings>
</component>

4
.idea/scopes/Apply_copyright.xml Normal file
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@ -0,0 +1,4 @@
<component name="DependencyValidationManager">
<scope name="Apply copyright"
pattern="!file[*]:*//testData//*&amp;&amp;!file[*]:testData//*&amp;&amp;!file[*]:*.gradle.kts&amp;&amp;!file[*]:*.gradle&amp;&amp;!file[group:kotlin-ultimate]:*/&amp;&amp;!file[kotlin.libraries]:stdlib/api//*"/>
</component>

6
CHANGELOG.md
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@ -10,6 +10,8 @@
- Blocking chains and Statistics
- Multiplatform integration
- Integration for any Field element
- Extended operations for ND4J fields
- Jupyter Notebook integration module (kmath-jupyter)
### Changed
- Exponential operations merged with hyperbolic functions
@ -22,6 +24,8 @@
- Redesign advanced Chain API
- Redesign MST. Remove MSTExpression.
- Move MST to core
- Separated benchmarks and examples
- Rewritten EJML module without ejml-simple
### Deprecated
@ -30,6 +34,8 @@
- Number multiplication and division in main Algebra chain
- `contentEquals` from Buffer. It moved to the companion.
- MSTExpression
- Expression algebra builders
- Comples and Quaternion no longer are elements.
### Fixed
- Ring inherits RingOperations, not GroupOperations

42
README.md
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@ -76,6 +76,12 @@ KMath is a modular library. Different modules provide different features with di
<hr/>
* ### [benchmarks](benchmarks)
>
>
> **Maturity**: EXPERIMENTAL
<hr/>
* ### [examples](examples)
>
>
@ -85,15 +91,13 @@ KMath is a modular library. Different modules provide different features with di
* ### [kmath-ast](kmath-ast)
>
>
> **Maturity**: PROTOTYPE
> **Maturity**: EXPERIMENTAL
>
> **Features:**
> - [expression-language](kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/ast/parser.kt) : Expression language and its parser
> - [mst](kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/MST.kt) : MST (Mathematical Syntax Tree) as expression language's syntax intermediate representation
> - [mst-building](kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/MstAlgebra.kt) : MST building algebraic structure
> - [mst-interpreter](kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/MST.kt) : MST interpreter
> - [expression-language](kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/parser.kt) : Expression language and its parser
> - [mst-jvm-codegen](kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/asm.kt) : Dynamic MST to JVM bytecode compiler
> - [mst-js-codegen](kmath-ast/src/jsMain/kotlin/space/kscience/kmath/estree/estree.kt) : Dynamic MST to JS compiler
> - [rendering](kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/MathRenderer.kt) : Extendable MST rendering
<hr/>
@ -150,9 +154,9 @@ performance calculations to code generation.
> **Maturity**: PROTOTYPE
>
> **Features:**
> - [ejml-vector](kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlVector.kt) : The Point implementation using SimpleMatrix.
> - [ejml-matrix](kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlMatrix.kt) : The Matrix implementation using SimpleMatrix.
> - [ejml-linear-space](kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlLinearSpace.kt) : The LinearSpace implementation using SimpleMatrix.
> - [ejml-vector](kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlVector.kt) : Point implementations.
> - [ejml-matrix](kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlMatrix.kt) : Matrix implementation.
> - [ejml-linear-space](kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlLinearSpace.kt) : LinearSpace implementations.
<hr/>
@ -196,6 +200,12 @@ One can still use generic algebras though.
> **Maturity**: PROTOTYPE
<hr/>
* ### [kmath-jupyter](kmath-jupyter)
>
>
> **Maturity**: PROTOTYPE
<hr/>
* ### [kmath-kotlingrad](kmath-kotlingrad)
>
>
@ -226,6 +236,18 @@ One can still use generic algebras though.
> **Maturity**: EXPERIMENTAL
<hr/>
* ### [kmath-tensors](kmath-tensors)
>
>
> **Maturity**: PROTOTYPE
>
> **Features:**
> - [tensor algebra](kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt) : Basic linear algebra operations on tensors (plus, dot, etc.)
> - [tensor algebra with broadcasting](kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/algebras/BroadcastDoubleTensorAlgebra.kt) : Basic linear algebra operations implemented with broadcasting.
> - [linear algebra operations](kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/LinearOpsTensorAlgebra.kt) : Advanced linear algebra operations like LU decomposition, SVD, etc.
<hr/>
* ### [kmath-viktor](kmath-viktor)
>
>
@ -266,8 +288,8 @@ repositories {
}
dependencies {
api("space.kscience:kmath-core:0.3.0-dev-6")
// api("space.kscience:kmath-core-jvm:0.3.0-dev-6") for jvm-specific version
api("space.kscience:kmath-core:0.3.0-dev-8")
// api("space.kscience:kmath-core-jvm:0.3.0-dev-8") for jvm-specific version
}
```

126
benchmarks/build.gradle.kts Normal file
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@ -0,0 +1,126 @@
plugins {
kotlin("multiplatform")
kotlin("plugin.allopen")
id("org.jetbrains.kotlinx.benchmark")
}
allOpen.annotation("org.openjdk.jmh.annotations.State")
sourceSets.register("benchmarks")
repositories {
mavenCentral()
maven("https://repo.kotlin.link")
maven("https://clojars.org/repo")
maven("https://jitpack.io")
maven("http://logicrunch.research.it.uu.se/maven") {
isAllowInsecureProtocol = true
}
}
kotlin {
jvm()
sourceSets {
val commonMain by getting {
dependencies {
implementation(project(":kmath-ast"))
implementation(project(":kmath-core"))
implementation(project(":kmath-coroutines"))
implementation(project(":kmath-complex"))
implementation(project(":kmath-stat"))
implementation(project(":kmath-dimensions"))
implementation(project(":kmath-for-real"))
implementation("org.jetbrains.kotlinx:kotlinx-benchmark-runtime:0.3.0")
}
}
val jvmMain by getting {
dependencies {
implementation(project(":kmath-commons"))
implementation(project(":kmath-ejml"))
implementation(project(":kmath-nd4j"))
implementation(project(":kmath-kotlingrad"))
implementation(project(":kmath-viktor"))
implementation("org.nd4j:nd4j-native:1.0.0-beta7")
// uncomment if your system supports AVX2
// val os = System.getProperty("os.name")
//
// if (System.getProperty("os.arch") in arrayOf("x86_64", "amd64")) when {
// os.startsWith("Windows") -> implementation("org.nd4j:nd4j-native:1.0.0-beta7:windows-x86_64-avx2")
// os == "Linux" -> implementation("org.nd4j:nd4j-native:1.0.0-beta7:linux-x86_64-avx2")
// os == "Mac OS X" -> implementation("org.nd4j:nd4j-native:1.0.0-beta7:macosx-x86_64-avx2")
// } else
// implementation("org.nd4j:nd4j-native-platform:1.0.0-beta7")
}
}
}
}
// Configure benchmark
benchmark {
// Setup configurations
targets {
register("jvm")
}
fun kotlinx.benchmark.gradle.BenchmarkConfiguration.commonConfiguration() {
warmups = 1
iterations = 5
iterationTime = 1000
iterationTimeUnit = "ms"
}
configurations.register("buffer") {
commonConfiguration()
include("BufferBenchmark")
}
configurations.register("dot") {
commonConfiguration()
include("DotBenchmark")
}
configurations.register("expressions") {
commonConfiguration()
include("ExpressionsInterpretersBenchmark")
}
configurations.register("matrixInverse") {
commonConfiguration()
include("MatrixInverseBenchmark")
}
configurations.register("bigInt") {
commonConfiguration()
include("BigIntBenchmark")
}
}
// Fix kotlinx-benchmarks bug
afterEvaluate {
val jvmBenchmarkJar by tasks.getting(org.gradle.jvm.tasks.Jar::class) {
duplicatesStrategy = DuplicatesStrategy.EXCLUDE
}
}
kotlin.sourceSets.all {
with(languageSettings) {
useExperimentalAnnotation("kotlin.contracts.ExperimentalContracts")
useExperimentalAnnotation("kotlin.ExperimentalUnsignedTypes")
useExperimentalAnnotation("space.kscience.kmath.misc.UnstableKMathAPI")
}
}
tasks.withType<org.jetbrains.kotlin.gradle.tasks.KotlinCompile> {
kotlinOptions {
jvmTarget = "11"
freeCompilerArgs = freeCompilerArgs + "-Xjvm-default=all"
}
}
readme {
maturity = ru.mipt.npm.gradle.Maturity.EXPERIMENTAL
}

0
examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/ArrayBenchmark.kt → benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/ArrayBenchmark.kt
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29
examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/BigIntBenchmark.kt → benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/BigIntBenchmark.kt
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@ -5,19 +5,26 @@
package space.kscience.kmath.benchmarks
import kotlinx.benchmark.Blackhole
import org.openjdk.jmh.annotations.Benchmark
import org.openjdk.jmh.annotations.Scope
import org.openjdk.jmh.annotations.State
import space.kscience.kmath.operations.BigInt
import space.kscience.kmath.operations.BigIntField
import space.kscience.kmath.operations.JBigIntegerField
import space.kscience.kmath.operations.invoke
private fun BigInt.pow(power: Int): BigInt = modPow(BigIntField.number(power), BigInt.ZERO)
@State(Scope.Benchmark)
internal class BigIntBenchmark {
val kmNumber = BigIntField.number(Int.MAX_VALUE)
val jvmNumber = JBigIntegerField.number(Int.MAX_VALUE)
val largeKmNumber = BigIntField { number(11).pow(100_000) }
val largeJvmNumber = JBigIntegerField { number(11).pow(100_000) }
val bigExponent = 50_000
@Benchmark
fun kmAdd(blackhole: Blackhole) = BigIntField {
@ -34,8 +41,28 @@ internal class BigIntBenchmark {
blackhole.consume(kmNumber * kmNumber * kmNumber)
}
@Benchmark
fun kmMultiplyLarge(blackhole: Blackhole) = BigIntField {
blackhole.consume(largeKmNumber*largeKmNumber)
}
@Benchmark
fun jvmMultiply(blackhole: Blackhole) = JBigIntegerField {
blackhole.consume(jvmNumber * jvmNumber * jvmNumber)
}
}
@Benchmark
fun jvmMultiplyLarge(blackhole: Blackhole) = JBigIntegerField {
blackhole.consume(largeJvmNumber*largeJvmNumber)
}
// @Benchmark
// fun kmPower(blackhole: Blackhole) = BigIntField {
// blackhole.consume(kmNumber.pow(bigExponent))
// }
//
// @Benchmark
// fun jvmPower(blackhole: Blackhole) = JBigIntegerField {
// blackhole.consume(jvmNumber.pow(bigExponent))
// }
}

0
examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/BufferBenchmark.kt → benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/BufferBenchmark.kt
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10
examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/DotBenchmark.kt → benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/DotBenchmark.kt
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@ -10,7 +10,7 @@ import kotlinx.benchmark.Blackhole
import kotlinx.benchmark.Scope
import kotlinx.benchmark.State
import space.kscience.kmath.commons.linear.CMLinearSpace
import space.kscience.kmath.ejml.EjmlLinearSpace
import space.kscience.kmath.ejml.EjmlLinearSpaceDDRM
import space.kscience.kmath.linear.LinearSpace
import space.kscience.kmath.linear.invoke
import space.kscience.kmath.operations.DoubleField
@ -29,8 +29,8 @@ internal class DotBenchmark {
val cmMatrix1 = CMLinearSpace { matrix1.toCM() }
val cmMatrix2 = CMLinearSpace { matrix2.toCM() }
val ejmlMatrix1 = EjmlLinearSpace { matrix1.toEjml() }
val ejmlMatrix2 = EjmlLinearSpace { matrix2.toEjml() }
val ejmlMatrix1 = EjmlLinearSpaceDDRM { matrix1.toEjml() }
val ejmlMatrix2 = EjmlLinearSpaceDDRM { matrix2.toEjml() }
}
@Benchmark
@ -42,14 +42,14 @@ internal class DotBenchmark {
@Benchmark
fun ejmlDot(blackhole: Blackhole) {
EjmlLinearSpace {
EjmlLinearSpaceDDRM {
blackhole.consume(ejmlMatrix1 dot ejmlMatrix2)
}
}
@Benchmark
fun ejmlDotWithConversion(blackhole: Blackhole) {
EjmlLinearSpace {
EjmlLinearSpaceDDRM {
blackhole.consume(matrix1 dot matrix2)
}
}

66
benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/ExpressionsInterpretersBenchmark.kt Normal file
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@ -0,0 +1,66 @@
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
package space.kscience.kmath.benchmarks
import kotlinx.benchmark.Benchmark
import kotlinx.benchmark.Blackhole
import kotlinx.benchmark.Scope
import kotlinx.benchmark.State
import space.kscience.kmath.asm.compileToExpression
import space.kscience.kmath.expressions.*
import space.kscience.kmath.misc.Symbol
import space.kscience.kmath.misc.symbol
import space.kscience.kmath.operations.DoubleField
import space.kscience.kmath.operations.bindSymbol
import space.kscience.kmath.operations.invoke
import kotlin.random.Random
@State(Scope.Benchmark)
internal class ExpressionsInterpretersBenchmark {
@Benchmark
fun functionalExpression(blackhole: Blackhole) = invokeAndSum(functional, blackhole)
@Benchmark
fun mstExpression(blackhole: Blackhole) = invokeAndSum(mst, blackhole)
@Benchmark
fun asmExpression(blackhole: Blackhole) = invokeAndSum(asm, blackhole)
@Benchmark
fun rawExpression(blackhole: Blackhole) = invokeAndSum(raw, blackhole)
private fun invokeAndSum(expr: Expression<Double>, blackhole: Blackhole) {
val random = Random(0)
var sum = 0.0
repeat(times) {
sum += expr(x to random.nextDouble())
}
blackhole.consume(sum)
}
private companion object {
private val x: Symbol by symbol
private val algebra: DoubleField = DoubleField
private const val times = 1_000_000
private val functional: Expression<Double> = DoubleField.expressionInExtendedField {
bindSymbol(x) * number(2.0) + number(2.0) / bindSymbol(x) - number(16.0) / sin(bindSymbol(x))
}
private val node = MstExtendedField {
bindSymbol(x) * 2.0 + number(2.0) / bindSymbol(x) - number(16.0) / sin(bindSymbol(x))
}
private val mst: Expression<Double> = node.toExpression(DoubleField)
private val asm: Expression<Double> = node.compileToExpression(DoubleField)
private val raw: Expression<Double> = Expression { args ->
args.getValue(x) * 2.0 + 2.0 / args.getValue(x) - 16.0 / kotlin.math.sin(args.getValue(x))
}
}
}

21
examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/MatrixInverseBenchmark.kt → benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/MatrixInverseBenchmark.kt
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@ -11,25 +11,26 @@ import kotlinx.benchmark.Scope
import kotlinx.benchmark.State
import space.kscience.kmath.commons.linear.CMLinearSpace
import space.kscience.kmath.commons.linear.inverse
import space.kscience.kmath.ejml.EjmlLinearSpace
import space.kscience.kmath.ejml.inverse
import space.kscience.kmath.ejml.EjmlLinearSpaceDDRM
import space.kscience.kmath.linear.InverseMatrixFeature
import space.kscience.kmath.linear.LinearSpace
import space.kscience.kmath.linear.inverseWithLup
import space.kscience.kmath.linear.invoke
import space.kscience.kmath.nd.getFeature
import kotlin.random.Random
@State(Scope.Benchmark)
internal class MatrixInverseBenchmark {
companion object {
val random = Random(1224)
const val dim = 100
private companion object {
private val random = Random(1224)
private const val dim = 100
private val space = LinearSpace.real
//creating invertible matrix
val u = space.buildMatrix(dim, dim) { i, j -> if (i <= j) random.nextDouble() else 0.0 }
val l = space.buildMatrix(dim, dim) { i, j -> if (i >= j) random.nextDouble() else 0.0 }
val matrix = space { l dot u }
private val u = space.buildMatrix(dim, dim) { i, j -> if (i <= j) random.nextDouble() else 0.0 }
private val l = space.buildMatrix(dim, dim) { i, j -> if (i >= j) random.nextDouble() else 0.0 }
private val matrix = space { l dot u }
}
@Benchmark
@ -46,8 +47,8 @@ internal class MatrixInverseBenchmark {
@Benchmark
fun ejmlInverse(blackhole: Blackhole) {
with(EjmlLinearSpace) {
blackhole.consume(inverse(matrix))
with(EjmlLinearSpaceDDRM) {
blackhole.consume(matrix.getFeature<InverseMatrixFeature<Double>>()?.inverse)
}
}
}

0
examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/NDFieldBenchmark.kt → benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/NDFieldBenchmark.kt
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0
examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/ViktorBenchmark.kt → benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/ViktorBenchmark.kt
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0
examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/ViktorLogBenchmark.kt → benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/ViktorLogBenchmark.kt
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42
build.gradle.kts
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@ -1,53 +1,37 @@
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
import org.jetbrains.dokka.gradle.DokkaTask
import java.net.URL
plugins {
id("ru.mipt.npm.gradle.project")
kotlin("jupyter.api") apply false
}
allprojects {
repositories {
jcenter()
maven("https://clojars.org/repo")
maven("https://dl.bintray.com/egor-bogomolov/astminer/")
maven("https://dl.bintray.com/hotkeytlt/maven")
maven("https://jitpack.io")
maven{
setUrl("http://logicrunch.research.it.uu.se/maven/")
maven("http://logicrunch.research.it.uu.se/maven") {
isAllowInsecureProtocol = true
}
maven("https://maven.pkg.jetbrains.space/public/p/kotlinx-html/maven")
mavenCentral()
}
group = "space.kscience"
version = "0.3.0-dev-6"
version = "0.3.0-dev-8"
}
subprojects {
if (name.startsWith("kmath")) apply<MavenPublishPlugin>()
afterEvaluate {
tasks.withType<DokkaTask> {
dokkaSourceSets.all {
val readmeFile = File(this@subprojects.projectDir, "./README.md")
if (readmeFile.exists())
includes.setFrom(includes + readmeFile.absolutePath)
tasks.withType<org.jetbrains.dokka.gradle.DokkaTaskPartial> {
dependsOn(tasks.getByName("assemble"))
arrayOf(
"http://ejml.org/javadoc/",
"https://commons.apache.org/proper/commons-math/javadocs/api-3.6.1/",
"https://deeplearning4j.org/api/latest/"
).map { URL("${it}package-list") to URL(it) }.forEach { (a, b) ->
externalDocumentationLink {
packageListUrl.set(a)
url.set(b)
}
}
dokkaSourceSets.all {
val readmeFile = File(this@subprojects.projectDir, "README.md")
if (readmeFile.exists()) includes.setFrom(includes + readmeFile.absolutePath)
externalDocumentationLink("http://ejml.org/javadoc/")
externalDocumentationLink("https://commons.apache.org/proper/commons-math/javadocs/api-3.6.1/")
externalDocumentationLink("https://deeplearning4j.org/api/latest/")
externalDocumentationLink("https://kotlin.github.io/kotlinx.coroutines/kotlinx-coroutines-core/")
}
}
}

6
docs/templates/ARTIFACT-TEMPLATE.md vendored
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@ -6,8 +6,7 @@ The Maven coordinates of this project are `${group}:${name}:${version}`.
```gradle
repositories {
maven { url 'https://repo.kotlin.link' }
maven { url 'https://dl.bintray.com/hotkeytlt/maven' }
maven { url "https://dl.bintray.com/kotlin/kotlin-eap" } // include for builds based on kotlin-eap
mavenCentral()
}
dependencies {
@ -18,8 +17,7 @@ dependencies {
```kotlin
repositories {
maven("https://repo.kotlin.link")
maven("https://dl.bintray.com/kotlin/kotlin-eap") // include for builds based on kotlin-eap
maven("https://dl.bintray.com/hotkeytlt/maven") // required for a
mavenCentral()
}
dependencies {

87
examples/build.gradle.kts
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@ -1,36 +1,16 @@
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
import org.jetbrains.kotlin.gradle.tasks.KotlinCompile
import ru.mipt.npm.gradle.Maturity
plugins {
kotlin("jvm")
kotlin("plugin.allopen")
id("org.jetbrains.kotlinx.benchmark")
}
allOpen.annotation("org.openjdk.jmh.annotations.State")
sourceSets.register("benchmarks")
repositories {
jcenter()
mavenCentral()
maven("https://repo.kotlin.link")
maven("https://clojars.org/repo")
maven("https://dl.bintray.com/egor-bogomolov/astminer/")
maven("https://dl.bintray.com/hotkeytlt/maven")
maven("https://dl.bintray.com/kotlin/kotlin-eap")
maven("https://dl.bintray.com/kotlin/kotlinx")
maven("https://dl.bintray.com/mipt-npm/dev")
maven("https://dl.bintray.com/mipt-npm/kscience")
maven("https://jitpack.io")
maven{
setUrl("http://logicrunch.research.it.uu.se/maven/")
maven("https://maven.pkg.jetbrains.space/kotlin/p/kotlin/kotlin-js-wrappers")
maven("http://logicrunch.research.it.uu.se/maven") {
isAllowInsecureProtocol = true
}
mavenCentral()
}
dependencies {
@ -45,10 +25,10 @@ dependencies {
implementation(project(":kmath-dimensions"))
implementation(project(":kmath-ejml"))
implementation(project(":kmath-nd4j"))
implementation(project(":kmath-tensors"))
implementation(project(":kmath-for-real"))
implementation("org.deeplearning4j:deeplearning4j-core:1.0.0-beta7")
implementation("org.nd4j:nd4j-native:1.0.0-beta7")
// uncomment if your system supports AVX2
@ -61,62 +41,9 @@ dependencies {
// } else
implementation("org.nd4j:nd4j-native-platform:1.0.0-beta7")
implementation("org.jetbrains.kotlinx:kotlinx-io:0.2.0-npm-dev-11")
implementation("org.jetbrains.kotlinx:kotlinx-benchmark-runtime:0.3.0")
implementation("org.slf4j:slf4j-simple:1.7.30")
// plotting
implementation("kscience.plotlykt:plotlykt-server:0.3.1-dev")
"benchmarksImplementation"("org.jetbrains.kotlinx:kotlinx.benchmark.runtime-jvm:0.2.0-dev-20")
"benchmarksImplementation"(sourceSets.main.get().output + sourceSets.main.get().runtimeClasspath)
}
// Configure benchmark
benchmark {
// Setup configurations
targets.register("benchmarks")
// This one matches sourceSet name above
configurations.register("buffer") {
warmups = 1 // number of warmup iterations
iterations = 3 // number of iterations
iterationTime = 500 // time in seconds per iteration
iterationTimeUnit = "ms" // time unity for iterationTime, default is seconds
include("BufferBenchmark")
}
configurations.register("dot") {
warmups = 1 // number of warmup iterations
iterations = 3 // number of iterations
iterationTime = 500 // time in seconds per iteration
iterationTimeUnit = "ms" // time unity for iterationTime, default is seconds
include("DotBenchmark")
}
configurations.register("expressions") {
warmups = 1 // number of warmup iterations
iterations = 3 // number of iterations
iterationTime = 500 // time in seconds per iteration
iterationTimeUnit = "ms" // time unity for iterationTime, default is seconds
include("ExpressionsInterpretersBenchmark")
}
configurations.register("matrixInverse") {
warmups = 1 // number of warmup iterations
iterations = 3 // number of iterations
iterationTime = 500 // time in seconds per iteration
iterationTimeUnit = "ms" // time unity for iterationTime, default is seconds
include("MatrixInverseBenchmark")
}
configurations.register("bigInt") {
warmups = 1 // number of warmup iterations
iterations = 3 // number of iterations
iterationTime = 500 // time in seconds per iteration
iterationTimeUnit = "ms" // time unity for iterationTime, default is seconds
include("BigIntBenchmark")
}
implementation("space.kscience:plotlykt-server:0.4.0-dev-2")
}
kotlin.sourceSets.all {
@ -127,7 +54,7 @@ kotlin.sourceSets.all {
}
}
tasks.withType<KotlinCompile> {
tasks.withType<org.jetbrains.kotlin.gradle.tasks.KotlinCompile> {
kotlinOptions{
jvmTarget = "11"
freeCompilerArgs = freeCompilerArgs + "-Xjvm-default=all"
@ -135,5 +62,5 @@ tasks.withType<KotlinCompile> {
}
readme {
maturity = Maturity.EXPERIMENTAL
maturity = ru.mipt.npm.gradle.Maturity.EXPERIMENTAL
}

77
examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/ExpressionsInterpretersBenchmark.kt
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@ -1,77 +0,0 @@
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
package space.kscience.kmath.benchmarks
import kotlinx.benchmark.Benchmark
import kotlinx.benchmark.Blackhole
import kotlinx.benchmark.Scope
import kotlinx.benchmark.State
import space.kscience.kmath.asm.compileToExpression
import space.kscience.kmath.expressions.*
import space.kscience.kmath.misc.symbol
import space.kscience.kmath.operations.DoubleField
import space.kscience.kmath.operations.bindSymbol
import space.kscience.kmath.operations.invoke
import kotlin.random.Random
@State(Scope.Benchmark)
internal class ExpressionsInterpretersBenchmark {
@Benchmark
fun functionalExpression(blackhole: Blackhole) {
val expr = algebra.expressionInField {
val x = bindSymbol(x)
x * const(2.0) + const(2.0) / x - const(16.0)
}
invokeAndSum(expr, blackhole)
}
@Benchmark
fun mstExpression(blackhole: Blackhole) {
val expr = MstField {
val x = bindSymbol(x)
x * 2.0 + number(2.0) / x - 16.0
}.toExpression(algebra)
invokeAndSum(expr, blackhole)
}
@Benchmark
fun asmExpression(blackhole: Blackhole) {
val expr = MstField {
val x = bindSymbol(x)
x * 2.0 + number(2.0) / x - 16.0
}.compileToExpression(algebra)
invokeAndSum(expr, blackhole)
}
@Benchmark
fun rawExpression(blackhole: Blackhole) {
val expr = Expression<Double> { args ->
val x = args.getValue(x)
x * 2.0 + 2.0 / x - 16.0
}
invokeAndSum(expr, blackhole)
}
private fun invokeAndSum(expr: Expression<Double>, blackhole: Blackhole) {
val random = Random(0)
var sum = 0.0
repeat(1000000) {
sum += expr(x to random.nextDouble())
}
blackhole.consume(sum)
}
private companion object {
private val algebra = DoubleField
private val x by symbol
}
}

2
examples/src/main/kotlin/space/kscience/kmath/ast/kotlingradSupport.kt
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@ -25,5 +25,5 @@ fun main() {
val expectedDerivative = "2*x-4".parseMath().compileToExpression(DoubleField)
assert(actualDerivative("x" to 123.0) == expectedDerivative("x" to 123.0))
assert(actualDerivative(x to 123.0) == expectedDerivative(x to 123.0))
}

6
examples/src/main/kotlin/space/kscience/kmath/commons/fit/fitWithAutoDiff.kt
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@ -7,9 +7,6 @@ package space.kscience.kmath.commons.fit
import kotlinx.html.br
import kotlinx.html.h3
import kscience.plotly.*
import kscience.plotly.models.ScatterMode
import kscience.plotly.models.TraceValues
import space.kscience.kmath.commons.optimization.chiSquared
import space.kscience.kmath.commons.optimization.minimize
import space.kscience.kmath.distributions.NormalDistribution
@ -22,6 +19,9 @@ import space.kscience.kmath.real.step
import space.kscience.kmath.stat.RandomGenerator
import space.kscience.kmath.structures.asIterable
import space.kscience.kmath.structures.toList
import space.kscience.plotly.*
import space.kscience.plotly.models.ScatterMode
import space.kscience.plotly.models.TraceValues
import kotlin.math.pow
import kotlin.math.sqrt

5
examples/src/main/kotlin/space/kscience/kmath/functions/integrate.kt
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@ -1,3 +1,8 @@
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
package space.kscience.kmath.functions
import space.kscience.kmath.integration.integrate

5
examples/src/main/kotlin/space/kscience/kmath/functions/matrixIntegration.kt
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@ -1,3 +1,8 @@
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
package space.kscience.kmath.functions
import space.kscience.kmath.integration.integrate

4
examples/src/main/kotlin/space/kscience/kmath/linear/gradient.kt
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@ -22,8 +22,8 @@ fun main() {
return DoubleBuffer(x.size) { i ->
val h = sigma[i] / 5
val dVector = DoubleBuffer(x.size) { if (it == i) h else 0.0 }
val f1 = invoke(x + dVector / 2)
val f0 = invoke(x - dVector / 2)
val f1 = this(x + dVector / 2)
val f0 = this(x - dVector / 2)
(f1 - f0) / h
}
}

2
examples/src/main/kotlin/space/kscience/kmath/structures/NDField.kt
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@ -5,6 +5,7 @@
package space.kscience.kmath.structures
import kotlinx.coroutines.DelicateCoroutinesApi
import kotlinx.coroutines.GlobalScope
import org.nd4j.linalg.factory.Nd4j
import space.kscience.kmath.nd.*
@ -22,6 +23,7 @@ internal inline fun measureAndPrint(title: String, block: () -> Unit) {
println("$title completed in $time millis")
}
@OptIn(DelicateCoroutinesApi::class)
fun main() {
// initializing Nd4j
Nd4j.zeros(0)

46
examples/src/main/kotlin/space/kscience/kmath/tensors/DataSetNormalization.kt Normal file
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@ -0,0 +1,46 @@
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
package space.kscience.kmath.tensors
import space.kscience.kmath.operations.invoke
import space.kscience.kmath.tensors.core.BroadcastDoubleTensorAlgebra
// Dataset normalization
fun main() {
// work in context with broadcast methods
BroadcastDoubleTensorAlgebra {
// take dataset of 5-element vectors from normal distribution
val dataset = randomNormal(intArrayOf(100, 5)) * 1.5 // all elements from N(0, 1.5)
dataset += fromArray(
intArrayOf(5),
doubleArrayOf(0.0, 1.0, 1.5, 3.0, 5.0) // rows means
)
// find out mean and standard deviation of each column
val mean = dataset.mean(0, false)
val std = dataset.std(0, false)
println("Mean:\n$mean")
println("Standard deviation:\n$std")
// also we can calculate other statistic as minimum and maximum of rows
println("Minimum:\n${dataset.min(0, false)}")
println("Maximum:\n${dataset.max(0, false)}")
// now we can scale dataset with mean normalization
val datasetScaled = (dataset - mean) / std
// find out mean and std of scaled dataset
println("Mean of scaled:\n${datasetScaled.mean(0, false)}")
println("Mean of scaled:\n${datasetScaled.std(0, false)}")
}
}

97
examples/src/main/kotlin/space/kscience/kmath/tensors/LinearSystemSolvingWithLUP.kt Normal file
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@ -0,0 +1,97 @@
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
package space.kscience.kmath.tensors
import space.kscience.kmath.operations.invoke
import space.kscience.kmath.tensors.core.DoubleTensor
import space.kscience.kmath.tensors.core.BroadcastDoubleTensorAlgebra
// solving linear system with LUP decomposition
fun main () {
// work in context with linear operations
BroadcastDoubleTensorAlgebra {
// set true value of x
val trueX = fromArray(
intArrayOf(4),
doubleArrayOf(-2.0, 1.5, 6.8, -2.4)
)
// and A matrix
val a = fromArray(
intArrayOf(4, 4),
doubleArrayOf(
0.5, 10.5, 4.5, 1.0,
8.5, 0.9, 12.8, 0.1,
5.56, 9.19, 7.62, 5.45,
1.0, 2.0, -3.0, -2.5
)
)
// calculate y value
val b = a dot trueX
// check out A and b
println("A:\n$a")
println("b:\n$b")
// solve `Ax = b` system using LUP decomposition
// get P, L, U such that PA = LU
val (p, l, u) = a.lu()
// check that P is permutation matrix
println("P:\n$p")
// L is lower triangular matrix and U is upper triangular matrix
println("L:\n$l")
println("U:\n$u")
// and PA = LU
println("PA:\n${p dot a}")
println("LU:\n${l dot u}")
/* Ax = b;
PAx = Pb;
LUx = Pb;
let y = Ux, then
Ly = Pb -- this system can be easily solved, since the matrix L is lower triangular;
Ux = y can be solved the same way, since the matrix L is upper triangular
*/
// this function returns solution x of a system lx = b, l should be lower triangular
fun solveLT(l: DoubleTensor, b: DoubleTensor): DoubleTensor {
val n = l.shape[0]
val x = zeros(intArrayOf(n))
for (i in 0 until n){
x[intArrayOf(i)] = (b[intArrayOf(i)] - l[i].dot(x).value()) / l[intArrayOf(i, i)]
}
return x
}
val y = solveLT(l, p dot b)
// solveLT(l, b) function can be easily adapted for upper triangular matrix by the permutation matrix revMat
// create it by placing ones on side diagonal
val revMat = u.zeroesLike()
val n = revMat.shape[0]
for (i in 0 until n) {
revMat[intArrayOf(i, n - 1 - i)] = 1.0
}
// solution of system ux = b, u should be upper triangular
fun solveUT(u: DoubleTensor, b: DoubleTensor): DoubleTensor = revMat dot solveLT(
revMat dot u dot revMat, revMat dot b
)
val x = solveUT(u, y)
println("True x:\n$trueX")
println("x founded with LU method:\n$x")
}
}

241
examples/src/main/kotlin/space/kscience/kmath/tensors/NeuralNetwork.kt Normal file
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@ -0,0 +1,241 @@
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
package space.kscience.kmath.tensors
import space.kscience.kmath.operations.invoke
import space.kscience.kmath.tensors.core.BroadcastDoubleTensorAlgebra
import space.kscience.kmath.tensors.core.DoubleTensor
import space.kscience.kmath.tensors.core.DoubleTensorAlgebra
import space.kscience.kmath.tensors.core.toDoubleArray
import kotlin.math.sqrt
const val seed = 100500L
// Simple feedforward neural network with backpropagation training
// interface of network layer
interface Layer {
fun forward(input: DoubleTensor): DoubleTensor
fun backward(input: DoubleTensor, outputError: DoubleTensor): DoubleTensor
}
// activation layer
open class Activation(
val activation: (DoubleTensor) -> DoubleTensor,
val activationDer: (DoubleTensor) -> DoubleTensor
) : Layer {
override fun forward(input: DoubleTensor): DoubleTensor {
return activation(input)
}
override fun backward(input: DoubleTensor, outputError: DoubleTensor): DoubleTensor {
return DoubleTensorAlgebra { outputError * activationDer(input) }
}
}
fun relu(x: DoubleTensor): DoubleTensor = DoubleTensorAlgebra {
x.map { if (it > 0) it else 0.0 }
}
fun reluDer(x: DoubleTensor): DoubleTensor = DoubleTensorAlgebra {
x.map { if (it > 0) 1.0 else 0.0 }
}
// activation layer with relu activator
class ReLU : Activation(::relu, ::reluDer)
fun sigmoid(x: DoubleTensor): DoubleTensor = DoubleTensorAlgebra {
1.0 / (1.0 + (-x).exp())
}
fun sigmoidDer(x: DoubleTensor): DoubleTensor = DoubleTensorAlgebra {
sigmoid(x) * (1.0 - sigmoid(x))
}
// activation layer with sigmoid activator
class Sigmoid : Activation(::sigmoid, ::sigmoidDer)
// dense layer
class Dense(
private val inputUnits: Int,
private val outputUnits: Int,
private val learningRate: Double = 0.1
) : Layer {
private val weights: DoubleTensor = DoubleTensorAlgebra {
randomNormal(
intArrayOf(inputUnits, outputUnits),
seed
) * sqrt(2.0 / (inputUnits + outputUnits))
}
private val bias: DoubleTensor = DoubleTensorAlgebra { zeros(intArrayOf(outputUnits)) }
override fun forward(input: DoubleTensor): DoubleTensor {
return BroadcastDoubleTensorAlgebra { (input dot weights) + bias }
}
override fun backward(input: DoubleTensor, outputError: DoubleTensor): DoubleTensor = DoubleTensorAlgebra {
val gradInput = outputError dot weights.transpose()
val gradW = input.transpose() dot outputError
val gradBias = outputError.mean(dim = 0, keepDim = false) * input.shape[0].toDouble()
weights -= learningRate * gradW
bias -= learningRate * gradBias
gradInput
}
}
// simple accuracy equal to the proportion of correct answers
fun accuracy(yPred: DoubleTensor, yTrue: DoubleTensor): Double {
check(yPred.shape contentEquals yTrue.shape)
val n = yPred.shape[0]
var correctCnt = 0
for (i in 0 until n) {
if (yPred[intArrayOf(i, 0)] == yTrue[intArrayOf(i, 0)]) {
correctCnt += 1
}
}
return correctCnt.toDouble() / n.toDouble()
}
// neural network class
@OptIn(ExperimentalStdlibApi::class)
class NeuralNetwork(private val layers: List<Layer>) {
private fun softMaxLoss(yPred: DoubleTensor, yTrue: DoubleTensor): DoubleTensor = BroadcastDoubleTensorAlgebra {
val onesForAnswers = yPred.zeroesLike()
yTrue.toDoubleArray().forEachIndexed { index, labelDouble ->
val label = labelDouble.toInt()
onesForAnswers[intArrayOf(index, label)] = 1.0
}
val softmaxValue = yPred.exp() / yPred.exp().sum(dim = 1, keepDim = true)
(-onesForAnswers + softmaxValue) / (yPred.shape[0].toDouble())
}
private fun forward(x: DoubleTensor): List<DoubleTensor> {
var input = x
return buildList {
layers.forEach { layer ->
val output = layer.forward(input)
add(output)
input = output
}
}
}
private fun train(xTrain: DoubleTensor, yTrain: DoubleTensor) {
val layerInputs = buildList {
add(xTrain)
addAll(forward(xTrain))
}
var lossGrad = softMaxLoss(layerInputs.last(), yTrain)
layers.zip(layerInputs).reversed().forEach { (layer, input) ->
lossGrad = layer.backward(input, lossGrad)
}
}
fun fit(xTrain: DoubleTensor, yTrain: DoubleTensor, batchSize: Int, epochs: Int) = DoubleTensorAlgebra {
fun iterBatch(x: DoubleTensor, y: DoubleTensor): Sequence<Pair<DoubleTensor, DoubleTensor>> = sequence {
val n = x.shape[0]
val shuffledIndices = (0 until n).shuffled()
for (i in 0 until n step batchSize) {
val excerptIndices = shuffledIndices.drop(i).take(batchSize).toIntArray()
val batch = x.rowsByIndices(excerptIndices) to y.rowsByIndices(excerptIndices)
yield(batch)
}
}
for (epoch in 0 until epochs) {
println("Epoch ${epoch + 1}/$epochs")
for ((xBatch, yBatch) in iterBatch(xTrain, yTrain)) {
train(xBatch, yBatch)
}
println("Accuracy:${accuracy(yTrain, predict(xTrain).argMax(1, true))}")
}
}
fun predict(x: DoubleTensor): DoubleTensor {
return forward(x).last()
}
}
@OptIn(ExperimentalStdlibApi::class)
fun main() {
BroadcastDoubleTensorAlgebra {
val features = 5
val sampleSize = 250
val trainSize = 180
//val testSize = sampleSize - trainSize
// take sample of features from normal distribution
val x = randomNormal(intArrayOf(sampleSize, features), seed) * 2.5
x += fromArray(
intArrayOf(5),
doubleArrayOf(0.0, -1.0, -2.5, -3.0, 5.5) // rows means
)
// define class like '1' if the sum of features > 0 and '0' otherwise
val y = fromArray(
intArrayOf(sampleSize, 1),
DoubleArray(sampleSize) { i ->
if (x[i].sum() > 0.0) {
1.0
} else {
0.0
}
}
)
// split train ans test
val trainIndices = (0 until trainSize).toList().toIntArray()
val testIndices = (trainSize until sampleSize).toList().toIntArray()
val xTrain = x.rowsByIndices(trainIndices)
val yTrain = y.rowsByIndices(trainIndices)
val xTest = x.rowsByIndices(testIndices)
val yTest = y.rowsByIndices(testIndices)
// build model
val layers = buildList {
add(Dense(features, 64))
add(ReLU())
add(Dense(64, 16))
add(ReLU())
add(Dense(16, 2))
add(Sigmoid())
}
val model = NeuralNetwork(layers)
// fit it with train data
model.fit(xTrain, yTrain, batchSize = 20, epochs = 10)
// make prediction
val prediction = model.predict(xTest)
// process raw prediction via argMax
val predictionLabels = prediction.argMax(1, true)
// find out accuracy
val acc = accuracy(yTest, predictionLabels)
println("Test accuracy:$acc")
}
}

68
examples/src/main/kotlin/space/kscience/kmath/tensors/OLSWithSVD.kt Normal file
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@ -0,0 +1,68 @@
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
package space.kscience.kmath.tensors
import space.kscience.kmath.operations.invoke
import space.kscience.kmath.tensors.core.DoubleTensor
import space.kscience.kmath.tensors.core.DoubleTensorAlgebra
import kotlin.math.abs
// OLS estimator using SVD
fun main() {
//seed for random
val randSeed = 100500L
// work in context with linear operations
DoubleTensorAlgebra {
// take coefficient vector from normal distribution
val alpha = randomNormal(
intArrayOf(5),
randSeed
) + fromArray(
intArrayOf(5),
doubleArrayOf(1.0, 2.5, 3.4, 5.0, 10.1)
)
println("Real alpha:\n$alpha")
// also take sample of size 20 from normal distribution for x
val x = randomNormal(
intArrayOf(20, 5),
randSeed
)
// calculate y and add gaussian noise (N(0, 0.05))
val y = x dot alpha
y += y.randomNormalLike(randSeed) * 0.05
// now restore the coefficient vector with OSL estimator with SVD
val (u, singValues, v) = x.svd()
// we have to make sure the singular values of the matrix are not close to zero
println("Singular values:\n$singValues")
// inverse Sigma matrix can be restored from singular values with diagonalEmbedding function
val sigma = diagonalEmbedding(singValues.map{ if (abs(it) < 1e-3) 0.0 else 1.0/it })
val alphaOLS = v dot sigma dot u.transpose() dot y
println("Estimated alpha:\n" +
"$alphaOLS")
// figure out MSE of approximation
fun mse(yTrue: DoubleTensor, yPred: DoubleTensor): Double {
require(yTrue.shape.size == 1)
require(yTrue.shape contentEquals yPred.shape)
val diff = yTrue - yPred
return diff.dot(diff).sqrt().value()
}
println("MSE: ${mse(alpha, alphaOLS)}")
}
}

78
examples/src/main/kotlin/space/kscience/kmath/tensors/PCA.kt Normal file
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@ -0,0 +1,78 @@
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
package space.kscience.kmath.tensors
import space.kscience.kmath.operations.invoke
import space.kscience.kmath.tensors.core.BroadcastDoubleTensorAlgebra
// simple PCA
fun main(){
val seed = 100500L
// work in context with broadcast methods
BroadcastDoubleTensorAlgebra {
// assume x is range from 0 until 10
val x = fromArray(
intArrayOf(10),
(0 until 10).toList().map { it.toDouble() }.toDoubleArray()
)
// take y dependent on x with noise
val y = 2.0 * x + (3.0 + x.randomNormalLike(seed) * 1.5)
println("x:\n$x")
println("y:\n$y")
// stack them into single dataset
val dataset = stack(listOf(x, y)).transpose()
// normalize both x and y
val xMean = x.mean()
val yMean = y.mean()
val xStd = x.std()
val yStd = y.std()
val xScaled = (x - xMean) / xStd
val yScaled = (y - yMean) / yStd
// save means ans standard deviations for further recovery
val mean = fromArray(
intArrayOf(2),
doubleArrayOf(xMean, yMean)
)
println("Means:\n$mean")
val std = fromArray(
intArrayOf(2),
doubleArrayOf(xStd, yStd)
)
println("Standard deviations:\n$std")
// calculate the covariance matrix of scaled x and y
val covMatrix = cov(listOf(xScaled, yScaled))
println("Covariance matrix:\n$covMatrix")
// and find out eigenvector of it
val (_, evecs) = covMatrix.symEig()
val v = evecs[0]
println("Eigenvector:\n$v")
// reduce dimension of dataset
val datasetReduced = v dot stack(listOf(xScaled, yScaled))
println("Reduced data:\n$datasetReduced")
// we can restore original data from reduced data.
// for example, find 7th element of dataset
val n = 7
val restored = (datasetReduced[n] dot v.view(intArrayOf(1, 2))) * std + mean
println("Original value:\n${dataset[n]}")
println("Restored value:\n$restored")
}
}

2
gradle/wrapper/gradle-wrapper.properties vendored
View File

@ -1,5 +1,5 @@
distributionBase=GRADLE_USER_HOME
distributionPath=wrapper/dists
distributionUrl=https\://services.gradle.org/distributions/gradle-6.8.3-bin.zip
distributionUrl=https\://services.gradle.org/distributions/gradle-7.0-bin.zip
zipStoreBase=GRADLE_USER_HOME
zipStorePath=wrapper/dists

15
gradlew vendored
View File

@ -1,8 +1,19 @@
#!/usr/bin/env sh
#
# Copyright 2018-2021 KMath contributors.
# Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
# Copyright 2015 the original author or authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
##############################################################################

162
kmath-ast/README.md
View File

@ -1,41 +1,37 @@
# Module kmath-ast
Abstract syntax tree expression representation and related optimizations.
Performance and visualization extensions to MST API.
- [expression-language](src/jvmMain/kotlin/space/kscience/kmath/ast/parser.kt) : Expression language and its parser
- [mst](src/commonMain/kotlin/space/kscience/kmath/ast/MST.kt) : MST (Mathematical Syntax Tree) as expression language's syntax intermediate representation
- [mst-building](src/commonMain/kotlin/space/kscience/kmath/ast/MstAlgebra.kt) : MST building algebraic structure
- [mst-interpreter](src/commonMain/kotlin/space/kscience/kmath/ast/MST.kt) : MST interpreter
- [expression-language](src/commonMain/kotlin/space/kscience/kmath/ast/parser.kt) : Expression language and its parser
- [mst-jvm-codegen](src/jvmMain/kotlin/space/kscience/kmath/asm/asm.kt) : Dynamic MST to JVM bytecode compiler
- [mst-js-codegen](src/jsMain/kotlin/space/kscience/kmath/estree/estree.kt) : Dynamic MST to JS compiler
- [rendering](src/commonMain/kotlin/space/kscience/kmath/ast/rendering/MathRenderer.kt) : Extendable MST rendering
## Artifact:
The Maven coordinates of this project are `space.kscience:kmath-ast:0.3.0-dev-6`.
The Maven coordinates of this project are `space.kscience:kmath-ast:0.3.0-dev-8`.
**Gradle:**
```gradle
repositories {
maven { url 'https://repo.kotlin.link' }
maven { url 'https://dl.bintray.com/hotkeytlt/maven' }
maven { url "https://dl.bintray.com/kotlin/kotlin-eap" } // include for builds based on kotlin-eap
mavenCentral()
}
dependencies {
implementation 'space.kscience:kmath-ast:0.3.0-dev-6'
implementation 'space.kscience:kmath-ast:0.3.0-dev-8'
}
```
**Gradle Kotlin DSL:**
```kotlin
repositories {
maven("https://repo.kotlin.link")
maven("https://dl.bintray.com/kotlin/kotlin-eap") // include for builds based on kotlin-eap
maven("https://dl.bintray.com/hotkeytlt/maven") // required for a
mavenCentral()
}
dependencies {
implementation("space.kscience:kmath-ast:0.3.0-dev-6")
implementation("space.kscience:kmath-ast:0.3.0-dev-8")
}
```
@ -43,21 +39,26 @@ dependencies {
### On JVM
`kmath-ast` JVM module supports runtime code generation to eliminate overhead of tree traversal. Code generator builds
a special implementation of `Expression<T>` with implemented `invoke` function.
`kmath-ast` JVM module supports runtime code generation to eliminate overhead of tree traversal. Code generator builds a
special implementation of `Expression<T>` with implemented `invoke` function.
For example, the following builder:
```kotlin
DoubleField.mstInField { symbol("x") + 2 }.compile()
import space.kscience.kmath.expressions.*
import space.kscience.kmath.operations.*
import space.kscience.kmath.asm.*
MstField { bindSymbol("x") + 2 }.compileToExpression(DoubleField)
```
… leads to generation of bytecode, which can be decompiled to the following Java class:
... leads to generation of bytecode, which can be decompiled to the following Java class:
```java
package space.kscience.kmath.asm.generated;
import java.util.Map;
import kotlin.jvm.functions.Function2;
import space.kscience.kmath.asm.internal.MapIntrinsics;
import space.kscience.kmath.expressions.Expression;
@ -67,7 +68,7 @@ public final class AsmCompiledExpression_45045_0 implements Expression<Double> {
private final Object[] constants;
public final Double invoke(Map<Symbol, ? extends Double> arguments) {
return (Double)((Function2)this.constants[0]).invoke((Double)MapIntrinsics.getOrFail(arguments, "x"), 2);
return (Double) ((Function2) this.constants[0]).invoke((Double) MapIntrinsics.getOrFail(arguments, "x"), 2);
}
public AsmCompiledExpression_45045_0(Object[] constants) {
@ -77,19 +78,10 @@ public final class AsmCompiledExpression_45045_0 implements Expression<Double> {
```
### Example Usage
This API extends MST and MstExpression, so you may optimize as both of them:
```kotlin
DoubleField.mstInField { symbol("x") + 2 }.compile()
DoubleField.expression("x+2".parseMath())
```
#### Known issues
- The same classes may be generated and loaded twice, so it is recommended to cache compiled expressions to avoid
class loading overhead.
- The same classes may be generated and loaded twice, so it is recommended to cache compiled expressions to avoid class
loading overhead.
- This API is not supported by non-dynamic JVM implementations (like TeaVM and GraalVM) because of using class loaders.
### On JS
@ -97,33 +89,62 @@ DoubleField.expression("x+2".parseMath())
A similar feature is also available on JS.
```kotlin
DoubleField.mstInField { symbol("x") + 2 }.compile()
import space.kscience.kmath.expressions.*
import space.kscience.kmath.operations.*
import space.kscience.kmath.estree.*
MstField { bindSymbol("x") + 2 }.compileToExpression(DoubleField)
```
The code above returns expression implemented with such a JS function:
```js
var executable = function (constants, arguments) {
return constants[1](constants[0](arguments, "x"), 2);
return constants[1](constants[0](arguments, "x"), 2);
};
```
JS also supports very experimental expression optimization with [WebAssembly](https://webassembly.org/) IR generation.
Currently, only expressions inside `DoubleField` and `IntRing` are supported.
```kotlin
import space.kscience.kmath.expressions.*
import space.kscience.kmath.operations.*
import space.kscience.kmath.wasm.*
MstField { bindSymbol("x") + 2 }.compileToExpression(DoubleField)
```
An example of emitted Wasm IR in the form of WAT:
```lisp
(func $executable (param $0 f64) (result f64)
(f64.add
(local.get $0)
(f64.const 2)
)
)
```
#### Known issues
- This feature uses `eval` which can be unavailable in several environments.
- ESTree expression compilation uses `eval` which can be unavailable in several environments.
- WebAssembly isn't supported by old versions of browsers (see https://webassembly.org/roadmap/).
## Rendering expressions
kmath-ast also includes an extensible engine to display expressions in LaTeX or MathML syntax.
kmath-ast also includes an extensible engine to display expressions in LaTeX or MathML syntax.
Example usage:
```kotlin
import space.kscience.kmath.ast.*
import space.kscience.kmath.ast.rendering.*
import space.kscience.kmath.misc.*
@OptIn(UnstableKMathAPI::class)
public fun main() {
val mst = "exp(sqrt(x))-asin(2*x)/(2e10+x^3)/(-12)".parseMath()
val mst = "exp(sqrt(x))-asin(2*x)/(2e10+x^3)/(12)+x^(2/3)".parseMath()
val syntax = FeaturedMathRendererWithPostProcess.Default.render(mst)
val latex = LatexSyntaxRenderer.renderWithStringBuilder(syntax)
println("LaTeX:")
@ -135,15 +156,80 @@ public fun main() {
}
```
Result LaTeX:
Result LaTeX:
![](http://chart.googleapis.com/chart?cht=tx&chl=e%5E%7B%5Csqrt%7Bx%7D%7D-%5Cfrac%7B%5Cfrac%7B%5Coperatorname%7Bsin%7D%5E%7B-1%7D%5C,%5Cleft(2%5C,x%5Cright)%7D%7B2%5Ctimes10%5E%7B10%7D%2Bx%5E%7B3%7D%7D%7D%7B-12%7D)
![](https://latex.codecogs.com/gif.latex?%5Coperatorname{exp}%5C,%5Cleft(%5Csqrt{x}%5Cright)-%5Cfrac{%5Cfrac{%5Coperatorname{arcsin}%5C,%5Cleft(2%5C,x%5Cright)}{2%5Ctimes10^{10}%2Bx^{3}}}{12}+x^{2/3})
Result MathML (embedding MathML is not allowed by GitHub Markdown):
Result MathML (can be used with MathJax or other renderers):
<details>
```html
<mrow><msup><mrow><mi>e</mi></mrow><mrow><msqrt><mi>x</mi></msqrt></mrow></msup><mo>-</mo><mfrac><mrow><mfrac><mrow><msup><mrow><mo>sin</mo></mrow><mrow><mo>-</mo><mn>1</mn></mrow></msup><mspace width="0.167em"></mspace><mfenced open="(" close=")" separators=""><mn>2</mn><mspace width="0.167em"></mspace><mi>x</mi></mfenced></mrow><mrow><mn>2</mn><mo>&times;</mo><msup><mrow><mn>10</mn></mrow><mrow><mn>10</mn></mrow></msup><mo>+</mo><msup><mrow><mi>x</mi></mrow><mrow><mn>3</mn></mrow></msup></mrow></mfrac></mrow><mrow><mo>-</mo><mn>12</mn></mrow></mfrac></mrow>
<math xmlns="https://www.w3.org/1998/Math/MathML">
<mrow>
<mo>exp</mo>
<mspace width="0.167em"></mspace>
<mfenced open="(" close=")" separators="">
<msqrt>
<mi>x</mi>
</msqrt>
</mfenced>
<mo>-</mo>
<mfrac>
<mrow>
<mfrac>
<mrow>
<mo>arcsin</mo>
<mspace width="0.167em"></mspace>
<mfenced open="(" close=")" separators="">
<mn>2</mn>
<mspace width="0.167em"></mspace>
<mi>x</mi>
</mfenced>
</mrow>
<mrow>
<mn>2</mn>
<mo>&times;</mo>
<msup>
<mrow>
<mn>10</mn>
</mrow>
<mrow>
<mn>10</mn>
</mrow>
</msup>
<mo>+</mo>
<msup>
<mrow>
<mi>x</mi>
</mrow>
<mrow>
<mn>3</mn>
</mrow>
</msup>
</mrow>
</mfrac>
</mrow>
<mrow>
<mn>12</mn>
</mrow>
</mfrac>
<mo>+</mo>
<msup>
<mrow>
<mi>x</mi>
</mrow>
<mrow>
<mn>2</mn>
<mo>/</mo>
<mn>3</mn>
</mrow>
</msup>
</mrow>
</math>
```
It is also possible to create custom algorithms of render, and even add support of other markup languages
</details>
It is also possible to create custom algorithms of render, and even add support of other markup languages
(see API reference).

46
kmath-ast/build.gradle.kts
View File

@ -1,10 +1,3 @@
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
import ru.mipt.npm.gradle.Maturity
plugins {
kotlin("multiplatform")
id("ru.mipt.npm.gradle.common")
@ -25,8 +18,13 @@ kotlin.js {
}
kotlin.sourceSets {
filter { it.name.contains("test", true) }
.map(org.jetbrains.kotlin.gradle.plugin.KotlinSourceSet::languageSettings)
.forEach { it.useExperimentalAnnotation("space.kscience.kmath.misc.UnstableKMathAPI") }
commonMain {
dependencies {
api("com.github.h0tk3y.betterParse:better-parse:0.4.2")
api(project(":kmath-core"))
}
}
@ -39,13 +37,15 @@ kotlin.sourceSets {
jsMain {
dependencies {
implementation(npm("astring", "1.7.0"))
implementation(npm("astring", "1.7.4"))
implementation(npm("binaryen", "100.0"))
implementation(npm("js-base64", "3.6.0"))
implementation(npm("webassembly", "0.11.0"))
}
}
jvmMain {
dependencies {
api("com.github.h0tk3y.betterParse:better-parse:0.4.1")
implementation("org.ow2.asm:asm:9.1")
implementation("org.ow2.asm:asm-commons:9.1")
}
@ -58,31 +58,13 @@ tasks.dokkaHtml {
}
readme {
maturity = Maturity.PROTOTYPE
maturity = ru.mipt.npm.gradle.Maturity.EXPERIMENTAL
propertyByTemplate("artifact", rootProject.file("docs/templates/ARTIFACT-TEMPLATE.md"))
feature(
id = "expression-language",
description = "Expression language and its parser",
ref = "src/jvmMain/kotlin/space/kscience/kmath/ast/parser.kt"
)
feature(
id = "mst",
description = "MST (Mathematical Syntax Tree) as expression language's syntax intermediate representation",
ref = "src/commonMain/kotlin/space/kscience/kmath/ast/MST.kt"
)
feature(
id = "mst-building",
description = "MST building algebraic structure",
ref = "src/commonMain/kotlin/space/kscience/kmath/ast/MstAlgebra.kt"
)
feature(
id = "mst-interpreter",
description = "MST interpreter",
ref = "src/commonMain/kotlin/space/kscience/kmath/ast/MST.kt"
ref = "src/commonMain/kotlin/space/kscience/kmath/ast/parser.kt"
)
feature(
@ -96,4 +78,10 @@ readme {
description = "Dynamic MST to JS compiler",
ref = "src/jsMain/kotlin/space/kscience/kmath/estree/estree.kt"
)
feature(
id = "rendering",
description = "Extendable MST rendering",
ref = "src/commonMain/kotlin/space/kscience/kmath/ast/rendering/MathRenderer.kt"
)
}

144
kmath-ast/docs/README-TEMPLATE.md
View File

@ -1,6 +1,6 @@
# Module kmath-ast
Abstract syntax tree expression representation and related optimizations.
Performance and visualization extensions to MST API.
${features}
@ -10,21 +10,26 @@ ${artifact}
### On JVM
`kmath-ast` JVM module supports runtime code generation to eliminate overhead of tree traversal. Code generator builds
a special implementation of `Expression<T>` with implemented `invoke` function.
`kmath-ast` JVM module supports runtime code generation to eliminate overhead of tree traversal. Code generator builds a
special implementation of `Expression<T>` with implemented `invoke` function.
For example, the following builder:
```kotlin
DoubleField.mstInField { symbol("x") + 2 }.compile()
import space.kscience.kmath.expressions.*
import space.kscience.kmath.operations.*
import space.kscience.kmath.asm.*
MstField { bindSymbol("x") + 2 }.compileToExpression(DoubleField)
```
… leads to generation of bytecode, which can be decompiled to the following Java class:
... leads to generation of bytecode, which can be decompiled to the following Java class:
```java
package space.kscience.kmath.asm.generated;
import java.util.Map;
import kotlin.jvm.functions.Function2;
import space.kscience.kmath.asm.internal.MapIntrinsics;
import space.kscience.kmath.expressions.Expression;
@ -34,7 +39,7 @@ public final class AsmCompiledExpression_45045_0 implements Expression<Double> {
private final Object[] constants;
public final Double invoke(Map<Symbol, ? extends Double> arguments) {
return (Double)((Function2)this.constants[0]).invoke((Double)MapIntrinsics.getOrFail(arguments, "x"), 2);
return (Double) ((Function2) this.constants[0]).invoke((Double) MapIntrinsics.getOrFail(arguments, "x"), 2);
}
public AsmCompiledExpression_45045_0(Object[] constants) {
@ -44,19 +49,10 @@ public final class AsmCompiledExpression_45045_0 implements Expression<Double> {
```
### Example Usage
This API extends MST and MstExpression, so you may optimize as both of them:
```kotlin
DoubleField.mstInField { symbol("x") + 2 }.compile()
DoubleField.expression("x+2".parseMath())
```
#### Known issues
- The same classes may be generated and loaded twice, so it is recommended to cache compiled expressions to avoid
class loading overhead.
- The same classes may be generated and loaded twice, so it is recommended to cache compiled expressions to avoid class
loading overhead.
- This API is not supported by non-dynamic JVM implementations (like TeaVM and GraalVM) because of using class loaders.
### On JS
@ -64,33 +60,62 @@ DoubleField.expression("x+2".parseMath())
A similar feature is also available on JS.
```kotlin
DoubleField.mstInField { symbol("x") + 2 }.compile()
import space.kscience.kmath.expressions.*
import space.kscience.kmath.operations.*
import space.kscience.kmath.estree.*
MstField { bindSymbol("x") + 2 }.compileToExpression(DoubleField)
```
The code above returns expression implemented with such a JS function:
```js
var executable = function (constants, arguments) {
return constants[1](constants[0](arguments, "x"), 2);
return constants[1](constants[0](arguments, "x"), 2);
};
```
JS also supports very experimental expression optimization with [WebAssembly](https://webassembly.org/) IR generation.
Currently, only expressions inside `DoubleField` and `IntRing` are supported.
```kotlin
import space.kscience.kmath.expressions.*
import space.kscience.kmath.operations.*
import space.kscience.kmath.wasm.*
MstField { bindSymbol("x") + 2 }.compileToExpression(DoubleField)
```
An example of emitted Wasm IR in the form of WAT:
```lisp
(func \$executable (param \$0 f64) (result f64)
(f64.add
(local.get \$0)
(f64.const 2)
)
)
```
#### Known issues
- This feature uses `eval` which can be unavailable in several environments.
- ESTree expression compilation uses `eval` which can be unavailable in several environments.
- WebAssembly isn't supported by old versions of browsers (see https://webassembly.org/roadmap/).
## Rendering expressions
kmath-ast also includes an extensible engine to display expressions in LaTeX or MathML syntax.
kmath-ast also includes an extensible engine to display expressions in LaTeX or MathML syntax.
Example usage:
```kotlin
import space.kscience.kmath.ast.*
import space.kscience.kmath.ast.rendering.*
import space.kscience.kmath.misc.*
@OptIn(UnstableKMathAPI::class)
public fun main() {
val mst = "exp(sqrt(x))-asin(2*x)/(2e10+x^3)/(-12)".parseMath()
val mst = "exp(sqrt(x))-asin(2*x)/(2e10+x^3)/(12)+x^(2/3)".parseMath()
val syntax = FeaturedMathRendererWithPostProcess.Default.render(mst)
val latex = LatexSyntaxRenderer.renderWithStringBuilder(syntax)
println("LaTeX:")
@ -102,15 +127,80 @@ public fun main() {
}
```
Result LaTeX:
Result LaTeX:
![](http://chart.googleapis.com/chart?cht=tx&chl=e%5E%7B%5Csqrt%7Bx%7D%7D-%5Cfrac%7B%5Cfrac%7B%5Coperatorname%7Bsin%7D%5E%7B-1%7D%5C,%5Cleft(2%5C,x%5Cright)%7D%7B2%5Ctimes10%5E%7B10%7D%2Bx%5E%7B3%7D%7D%7D%7B-12%7D)
![](https://latex.codecogs.com/gif.latex?%5Coperatorname{exp}%5C,%5Cleft(%5Csqrt{x}%5Cright)-%5Cfrac{%5Cfrac{%5Coperatorname{arcsin}%5C,%5Cleft(2%5C,x%5Cright)}{2%5Ctimes10^{10}%2Bx^{3}}}{12}+x^{2/3})
Result MathML (embedding MathML is not allowed by GitHub Markdown):
Result MathML (can be used with MathJax or other renderers):
<details>
```html
<mrow><msup><mrow><mi>e</mi></mrow><mrow><msqrt><mi>x</mi></msqrt></mrow></msup><mo>-</mo><mfrac><mrow><mfrac><mrow><msup><mrow><mo>sin</mo></mrow><mrow><mo>-</mo><mn>1</mn></mrow></msup><mspace width="0.167em"></mspace><mfenced open="(" close=")" separators=""><mn>2</mn><mspace width="0.167em"></mspace><mi>x</mi></mfenced></mrow><mrow><mn>2</mn><mo>&times;</mo><msup><mrow><mn>10</mn></mrow><mrow><mn>10</mn></mrow></msup><mo>+</mo><msup><mrow><mi>x</mi></mrow><mrow><mn>3</mn></mrow></msup></mrow></mfrac></mrow><mrow><mo>-</mo><mn>12</mn></mrow></mfrac></mrow>
<math xmlns="https://www.w3.org/1998/Math/MathML">
<mrow>
<mo>exp</mo>
<mspace width="0.167em"></mspace>
<mfenced open="(" close=")" separators="">
<msqrt>
<mi>x</mi>
</msqrt>
</mfenced>
<mo>-</mo>
<mfrac>
<mrow>
<mfrac>
<mrow>
<mo>arcsin</mo>
<mspace width="0.167em"></mspace>
<mfenced open="(" close=")" separators="">
<mn>2</mn>
<mspace width="0.167em"></mspace>
<mi>x</mi>
</mfenced>
</mrow>
<mrow>
<mn>2</mn>
<mo>&times;</mo>
<msup>
<mrow>
<mn>10</mn>
</mrow>
<mrow>
<mn>10</mn>
</mrow>
</msup>
<mo>+</mo>
<msup>
<mrow>
<mi>x</mi>
</mrow>
<mrow>
<mn>3</mn>
</mrow>
</msup>
</mrow>
</mfrac>
</mrow>
<mrow>
<mn>12</mn>
</mrow>
</mfrac>
<mo>+</mo>
<msup>
<mrow>
<mi>x</mi>
</mrow>
<mrow>
<mn>2</mn>
<mo>/</mo>
<mn>3</mn>
</mrow>
</msup>
</mrow>
</math>
```
It is also possible to create custom algorithms of render, and even add support of other markup languages
</details>
It is also possible to create custom algorithms of render, and even add support of other markup languages
(see API reference).

3
kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/ast/parser.kt → kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/parser.kt
View File

@ -3,8 +3,6 @@
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
// TODO move to common when https://github.com/h0tk3y/better-parse/pull/37 is merged
package space.kscience.kmath.ast
import com.github.h0tk3y.betterParse.combinators.*
@ -31,7 +29,6 @@ import space.kscience.kmath.operations.RingOperations
* @author Iaroslav Postovalov
*/
public object ArithmeticsEvaluator : Grammar<MST>() {
// TODO replace with "...".toRegex() when better-parse 0.4.1 is released
private val num: Token by regexToken("[\\d.]+(?:[eE][-+]?\\d+)?".toRegex())
private val id: Token by regexToken("[a-z_A-Z][\\da-z_A-Z]*".toRegex())
private val lpar: Token by literalToken("(")

18
kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/LatexSyntaxRenderer.kt
View File

@ -5,6 +5,8 @@
package space.kscience.kmath.ast.rendering
import space.kscience.kmath.misc.UnstableKMathAPI
/**
* [SyntaxRenderer] implementation for LaTeX.
*
@ -23,6 +25,7 @@ package space.kscience.kmath.ast.rendering
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public object LatexSyntaxRenderer : SyntaxRenderer {
public override fun render(node: MathSyntax, output: Appendable): Unit = output.run {
fun render(syntax: MathSyntax) = render(syntax, output)
@ -71,6 +74,15 @@ public object LatexSyntaxRenderer : SyntaxRenderer {
append('}')
}
is ExponentSyntax -> if (node.useOperatorForm) {
append("\\operatorname{exp}\\,")
render(node.operand)
} else {
append("e^{")
render(node.operand)
append('}')
}
is SuperscriptSyntax -> {
render(node.left)
append("^{")
@ -106,7 +118,11 @@ public object LatexSyntaxRenderer : SyntaxRenderer {
render(node.right)
}
is FractionSyntax -> {
is FractionSyntax -> if (node.infix) {
render(node.left)
append('/')
render(node.right)
} else {
append("\\frac{")
render(node.left)
append("}{")

42
kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/MathMLSyntaxRenderer.kt
View File

@ -5,6 +5,8 @@
package space.kscience.kmath.ast.rendering
import space.kscience.kmath.misc.UnstableKMathAPI
/**
* [SyntaxRenderer] implementation for MathML.
*
@ -12,14 +14,18 @@ package space.kscience.kmath.ast.rendering
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public object MathMLSyntaxRenderer : SyntaxRenderer {
public override fun render(node: MathSyntax, output: Appendable) {
output.append("<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mrow>")
render0(node, output)
output.append("<math xmlns=\"https://www.w3.org/1998/Math/MathML\"><mrow>")
renderPart(node, output)
output.append("</mrow></math>")
}
private fun render0(node: MathSyntax, output: Appendable): Unit = output.run {
/**
* Renders a part of syntax returning a correct MathML tag not the whole MathML instance.
*/
public fun renderPart(node: MathSyntax, output: Appendable): Unit = output.run {
fun tag(tagName: String, vararg attr: Pair<String, String>, block: () -> Unit = {}) {
append('<')
append(tagName)
@ -44,7 +50,7 @@ public object MathMLSyntaxRenderer : SyntaxRenderer {
append('>')
}
fun render(syntax: MathSyntax) = render0(syntax, output)
fun render(syntax: MathSyntax) = renderPart(syntax, output)
when (node) {
is NumberSyntax -> tag("mn") { append(node.string) }
@ -82,6 +88,19 @@ public object MathMLSyntaxRenderer : SyntaxRenderer {
is RadicalSyntax -> tag("msqrt") { render(node.operand) }
is ExponentSyntax -> if (node.useOperatorForm) {
tag("mo") { append("exp") }
tag("mspace", "width" to "0.167em")
render(node.operand)
} else {
tag("msup") {
tag("mrow") {
tag("mi") { append("e") }
}
tag("mrow") { render(node.operand) }
}
}
is SuperscriptSyntax -> tag("msup") {
tag("mrow") { render(node.left) }
tag("mrow") { render(node.right) }
@ -114,14 +133,13 @@ public object MathMLSyntaxRenderer : SyntaxRenderer {
render(node.right)
}
is FractionSyntax -> tag("mfrac") {
tag("mrow") {
render(node.left)
}
tag("mrow") {
render(node.right)
}
is FractionSyntax -> if (node.infix) {
render(node.left)
tag("mo") { append('/') }
render(node.right)
} else tag("mfrac") {
tag("mrow") { render(node.left) }
tag("mrow") { render(node.right) }
}
is RadicalWithIndexSyntax -> tag("mroot") {

9
kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/MathRenderer.kt
View File

@ -6,12 +6,14 @@
package space.kscience.kmath.ast.rendering
import space.kscience.kmath.expressions.MST
import space.kscience.kmath.misc.UnstableKMathAPI
/**
* Renders [MST] to [MathSyntax].
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public fun interface MathRenderer {
/**
* Renders [MST] to [MathSyntax].
@ -25,6 +27,7 @@ public fun interface MathRenderer {
* @property features The applied features.
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public open class FeaturedMathRenderer(public val features: List<RenderFeature>) : MathRenderer {
public override fun render(mst: MST): MathSyntax {
for (feature in features) feature.render(this, mst)?.let { return it }
@ -48,6 +51,7 @@ public open class FeaturedMathRenderer(public val features: List<RenderFeature>)
* @property stages The applied stages.
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public open class FeaturedMathRendererWithPostProcess(
features: List<RenderFeature>,
public val stages: List<PostProcessStage>,
@ -83,8 +87,9 @@ public open class FeaturedMathRendererWithPostProcess(
Fraction.Default,
Power.Default,
SquareRoot.Default,
Exponential.Default,
Exponent.Default,
InverseTrigonometricOperations.Default,
InverseHyperbolicOperations.Default,
// Fallback option for unknown operations - printing them as operator
BinaryOperator.Default,
@ -100,6 +105,8 @@ public open class FeaturedMathRendererWithPostProcess(
PrintSymbolic,
),
listOf(
BetterExponent,
BetterFraction,
SimplifyParentheses.Default,
BetterMultiplication,
),

75
kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/MathSyntax.kt
View File

@ -5,11 +5,14 @@
package space.kscience.kmath.ast.rendering
import space.kscience.kmath.misc.UnstableKMathAPI
/**
* Mathematical typography syntax node.
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public sealed class MathSyntax {
/**
* The parent node of this syntax node.
@ -22,6 +25,7 @@ public sealed class MathSyntax {
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public sealed class TerminalSyntax : MathSyntax()
/**
@ -29,6 +33,7 @@ public sealed class TerminalSyntax : MathSyntax()
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public sealed class OperationSyntax : MathSyntax() {
/**
* The operation token.
@ -41,6 +46,7 @@ public sealed class OperationSyntax : MathSyntax() {
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public sealed class UnarySyntax : OperationSyntax() {
/**
* The operand of this node.
@ -53,6 +59,7 @@ public sealed class UnarySyntax : OperationSyntax() {
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public sealed class BinarySyntax : OperationSyntax() {
/**
* The left-hand side operand.
@ -71,6 +78,7 @@ public sealed class BinarySyntax : OperationSyntax() {
* @property string The digits of number.
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public data class NumberSyntax(public var string: String) : TerminalSyntax()
/**
@ -79,6 +87,7 @@ public data class NumberSyntax(public var string: String) : TerminalSyntax()
* @property string The symbol.
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public data class SymbolSyntax(public var string: String) : TerminalSyntax()
/**
@ -89,14 +98,16 @@ public data class SymbolSyntax(public var string: String) : TerminalSyntax()
* @see UnaryOperatorSyntax
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public data class OperatorNameSyntax(public var name: String) : TerminalSyntax()
/**
* Represents a usage of special symbols.
* Represents a usage of special symbols (e.g., *&infin;*).
*
* @property kind The kind of symbol.
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public data class SpecialSymbolSyntax(public var kind: Kind) : TerminalSyntax() {
/**
* The kind of symbol.
@ -121,6 +132,7 @@ public data class SpecialSymbolSyntax(public var kind: Kind) : TerminalSyntax()
* @property parentheses Whether the operand should be wrapped with parentheses.
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public data class OperandSyntax(
public val operand: MathSyntax,
public var parentheses: Boolean,
@ -131,11 +143,12 @@ public data class OperandSyntax(
}
/**
* Represents unary, prefix operator syntax (like f x).
* Represents unary, prefix operator syntax (like *f(x)*).
*
* @property prefix The prefix.
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public data class UnaryOperatorSyntax(
public override val operation: String,
public var prefix: MathSyntax,
@ -147,10 +160,11 @@ public data class UnaryOperatorSyntax(
}
/**
* Represents prefix, unary plus operator.
* Represents prefix, unary plus operator (*+x*).
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public data class UnaryPlusSyntax(
public override val operation: String,
public override val operand: OperandSyntax,
@ -161,10 +175,11 @@ public data class UnaryPlusSyntax(
}
/**
* Represents prefix, unary minus operator.
* Represents prefix, unary minus operator (*-x*).
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public data class UnaryMinusSyntax(
public override val operation: String,
public override val operand: OperandSyntax,
@ -175,11 +190,12 @@ public data class UnaryMinusSyntax(
}
/**
* Represents radical with a node inside it.
* Represents radical with a node inside it (*&radic;x*).
*
* @property operand The radicand.
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public data class RadicalSyntax(
public override val operation: String,
public override val operand: MathSyntax,
@ -190,12 +206,32 @@ public data class RadicalSyntax(
}
/**
* Represents a syntax node with superscript (usually, for exponentiation).
* Represents exponential function.
*
* @property operand The argument of function.
* @property useOperatorForm `true` if operator form is used (*exp (x)*), `false` if exponentiation form is used
* (*e<sup>x</sup>*).
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public data class ExponentSyntax(
public override val operation: String,
public override val operand: OperandSyntax,
public var useOperatorForm: Boolean,
) : UnarySyntax() {
init {
operand.parent = this
}
}
/**
* Represents a syntax node with superscript (*x<sup>2</sup>*).
*
* @property left The node.
* @property right The superscript.
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public data class SuperscriptSyntax(
public override val operation: String,
public override val left: MathSyntax,
@ -208,12 +244,13 @@ public data class SuperscriptSyntax(
}
/**
* Represents a syntax node with subscript.
* Represents a syntax node with subscript (*x<sub>i</sup>*).
*
* @property left The node.
* @property right The subscript.
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public data class SubscriptSyntax(
public override val operation: String,
public override val left: MathSyntax,
@ -226,11 +263,12 @@ public data class SubscriptSyntax(
}
/**
* Represents binary, prefix operator syntax (like f(a, b)).
* Represents binary, prefix operator syntax (like *f(a, b)*).
*
* @property prefix The prefix.
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public data class BinaryOperatorSyntax(
public override val operation: String,
public var prefix: MathSyntax,
@ -244,12 +282,13 @@ public data class BinaryOperatorSyntax(
}
/**
* Represents binary, infix addition.
* Represents binary, infix addition (*42 + 42*).
*
* @param left The augend.
* @param right The addend.
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public data class BinaryPlusSyntax(
public override val operation: String,
public override val left: OperandSyntax,
@ -262,12 +301,13 @@ public data class BinaryPlusSyntax(
}
/**
* Represents binary, infix subtraction.
* Represents binary, infix subtraction (*42 - 42*).
*
* @param left The minuend.
* @param right The subtrahend.
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public data class BinaryMinusSyntax(
public override val operation: String,
public override val left: OperandSyntax,
@ -284,12 +324,15 @@ public data class BinaryMinusSyntax(
*
* @property left The numerator.
* @property right The denominator.
* @property infix Whether infix (*1 / 2*) or normal (*&frac12;*) fraction should be made.
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public data class FractionSyntax(
public override val operation: String,
public override val left: MathSyntax,
public override val right: MathSyntax,
public override val left: OperandSyntax,
public override val right: OperandSyntax,
public var infix: Boolean,
) : BinarySyntax() {
init {
left.parent = this
@ -298,12 +341,13 @@ public data class FractionSyntax(
}
/**
* Represents radical syntax with index.
* Represents radical syntax with index (*<sup>3</sup>&radic;x*).
*
* @property left The index.
* @property right The radicand.
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public data class RadicalWithIndexSyntax(
public override val operation: String,
public override val left: MathSyntax,
@ -316,13 +360,14 @@ public data class RadicalWithIndexSyntax(
}
/**
* Represents binary, infix multiplication in the form of coefficient (2 x) or with operator (x&times;2).
* Represents binary, infix multiplication in the form of coefficient (*2 x*) or with operator (*x &times; 2*).
*
* @property left The multiplicand.
* @property right The multiplier.
* @property times whether the times (&times;) symbol should be used.
* @property times Whether the times (&times;) symbol should be used.
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public data class MultiplicationSyntax(
public override val operation: String,
public override val left: OperandSyntax,

4
kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/SyntaxRenderer.kt
View File

@ -5,12 +5,15 @@
package space.kscience.kmath.ast.rendering
import space.kscience.kmath.misc.UnstableKMathAPI
/**
* Abstraction of writing [MathSyntax] as a string of an actual markup language. Typical implementation should
* involve traversal of MathSyntax with handling each its subtype.
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public fun interface SyntaxRenderer {
/**
* Renders the [MathSyntax] to [output].
@ -23,6 +26,7 @@ public fun interface SyntaxRenderer {
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public fun SyntaxRenderer.renderWithStringBuilder(node: MathSyntax): String {
val sb = StringBuilder()
render(node, sb)

368
kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/features.kt
View File

@ -7,6 +7,7 @@ package space.kscience.kmath.ast.rendering
import space.kscience.kmath.ast.rendering.FeaturedMathRenderer.RenderFeature
import space.kscience.kmath.expressions.MST
import space.kscience.kmath.misc.UnstableKMathAPI
import space.kscience.kmath.operations.*
import kotlin.reflect.KClass
@ -15,11 +16,12 @@ import kotlin.reflect.KClass
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public object PrintSymbolic : RenderFeature {
public override fun render(renderer: FeaturedMathRenderer, node: MST): MathSyntax? {
if (node !is MST.Symbolic) return null
return SymbolSyntax(string = node.value)
}
public override fun render(renderer: FeaturedMathRenderer, node: MST): SymbolSyntax? =
if (node !is MST.Symbolic) null
else
SymbolSyntax(string = node.value)
}
/**
@ -27,39 +29,46 @@ public object PrintSymbolic : RenderFeature {
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public object PrintNumeric : RenderFeature {
public override fun render(renderer: FeaturedMathRenderer, node: MST): MathSyntax? {
if (node !is MST.Numeric) return null
return NumberSyntax(string = node.value.toString())
}
public override fun render(renderer: FeaturedMathRenderer, node: MST): NumberSyntax? = if (node !is MST.Numeric)
null
else
NumberSyntax(string = node.value.toString())
}
private fun printSignedNumberString(s: String): MathSyntax {
if (s.startsWith('-'))
return UnaryMinusSyntax(
operation = GroupOperations.MINUS_OPERATION,
operand = OperandSyntax(
operand = NumberSyntax(string = s.removePrefix("-")),
parentheses = true,
),
)
return NumberSyntax(string = s)
}
@UnstableKMathAPI
private fun printSignedNumberString(s: String): MathSyntax = if (s.startsWith('-'))
UnaryMinusSyntax(
operation = GroupOperations.MINUS_OPERATION,
operand = OperandSyntax(
operand = NumberSyntax(string = s.removePrefix("-")),
parentheses = true,
),
)
else
NumberSyntax(string = s)
/**
* Special printing for numeric types which are printed in form of
* *('-'? (DIGIT+ ('.' DIGIT+)? ('E' '-'? DIGIT+)? | 'Infinity')) | 'NaN'*.
*
* @property types The suitable types.
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public class PrettyPrintFloats(public val types: Set<KClass<out Number>>) : RenderFeature {
public override fun render(renderer: FeaturedMathRenderer, node: MST): MathSyntax? {
if (node !is MST.Numeric || node.value::class !in types) return null
val toString = node.value.toString().removeSuffix(".0")
if ('E' in toString) {
val (beforeE, afterE) = toString.split('E')
val toString = when (val v = node.value) {
is Float -> v.multiplatformToString()
is Double -> v.multiplatformToString()
else -> v.toString()
}.removeSuffix(".0")
if (toString.contains('E', ignoreCase = true)) {
val (beforeE, afterE) = toString.split('E', ignoreCase = true)
val significand = beforeE.toDouble().toString().removeSuffix(".0")
val exponent = afterE.toDouble().toString().removeSuffix(".0")
@ -105,14 +114,15 @@ public class PrettyPrintFloats(public val types: Set<KClass<out Number>>) : Rend
* Special printing for numeric types which are printed in form of *'-'? DIGIT+*.
*
* @property types The suitable types.
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public class PrettyPrintIntegers(public val types: Set<KClass<out Number>>) : RenderFeature {
public override fun render(renderer: FeaturedMathRenderer, node: MST): MathSyntax? {
public override fun render(renderer: FeaturedMathRenderer, node: MST): MathSyntax? =
if (node !is MST.Numeric || node.value::class !in types)
return null
return printSignedNumberString(node.value.toString())
}
null
else
printSignedNumberString(node.value.toString())
public companion object {
/**
@ -127,12 +137,15 @@ public class PrettyPrintIntegers(public val types: Set<KClass<out Number>>) : Re
* Special printing for symbols meaning Pi.
*
* @property symbols The allowed symbols.
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public class PrettyPrintPi(public val symbols: Set<String>) : RenderFeature {
public override fun render(renderer: FeaturedMathRenderer, node: MST): MathSyntax? {
if (node !is MST.Symbolic || node.value !in symbols) return null
return SpecialSymbolSyntax(kind = SpecialSymbolSyntax.Kind.SMALL_PI)
}
public override fun render(renderer: FeaturedMathRenderer, node: MST): SpecialSymbolSyntax? =
if (node !is MST.Symbolic || node.value !in symbols)
null
else
SpecialSymbolSyntax(kind = SpecialSymbolSyntax.Kind.SMALL_PI)
public companion object {
/**
@ -147,17 +160,20 @@ public class PrettyPrintPi(public val symbols: Set<String>) : RenderFeature {
* not [MST.Unary].
*
* @param operations the allowed operations. If `null`, any operation is accepted.
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public abstract class Unary(public val operations: Collection<String>?) : RenderFeature {
/**
* The actual render function.
* The actual render function specialized for [MST.Unary].
*/
protected abstract fun render0(parent: FeaturedMathRenderer, node: MST.Unary): MathSyntax?
protected abstract fun renderUnary(parent: FeaturedMathRenderer, node: MST.Unary): MathSyntax?
public final override fun render(renderer: FeaturedMathRenderer, node: MST): MathSyntax? {
if (node !is MST.Unary || operations != null && node.operation !in operations) return null
return render0(renderer, node)
}
public final override fun render(renderer: FeaturedMathRenderer, node: MST): MathSyntax? =
if (node !is MST.Unary || operations != null && node.operation !in operations)
null
else
renderUnary(renderer, node)
}
/**
@ -165,169 +181,301 @@ public abstract class Unary(public val operations: Collection<String>?) : Render
* not [MST.Binary].
*
* @property operations the allowed operations. If `null`, any operation is accepted.
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public abstract class Binary(public val operations: Collection<String>?) : RenderFeature {
/**
* The actual render function.
* The actual render function specialized for [MST.Binary].
*/
protected abstract fun render0(parent: FeaturedMathRenderer, node: MST.Binary): MathSyntax?
protected abstract fun renderBinary(parent: FeaturedMathRenderer, node: MST.Binary): MathSyntax?
public final override fun render(renderer: FeaturedMathRenderer, node: MST): MathSyntax? {
if (node !is MST.Binary || operations != null && node.operation !in operations) return null
return render0(renderer, node)
return renderBinary(renderer, node)
}
}
/**
* Handles binary nodes by producing [BinaryPlusSyntax].
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public class BinaryPlus(operations: Collection<String>?) : Binary(operations) {
public override fun render0(parent: FeaturedMathRenderer, node: MST.Binary): MathSyntax = BinaryPlusSyntax(
operation = node.operation,
left = OperandSyntax(parent.render(node.left), true),
right = OperandSyntax(parent.render(node.right), true),
)
public override fun renderBinary(parent: FeaturedMathRenderer, node: MST.Binary): BinaryPlusSyntax =
BinaryPlusSyntax(
operation = node.operation,
left = OperandSyntax(parent.render(node.left), true),
right = OperandSyntax(parent.render(node.right), true),
)
public companion object {
/**
* The default instance configured with [GroupOperations.PLUS_OPERATION].
*/
public val Default: BinaryPlus = BinaryPlus(setOf(GroupOperations.PLUS_OPERATION))
}
}
/**
* Handles binary nodes by producing [BinaryMinusSyntax].
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public class BinaryMinus(operations: Collection<String>?) : Binary(operations) {
public override fun render0(parent: FeaturedMathRenderer, node: MST.Binary): MathSyntax = BinaryMinusSyntax(
operation = node.operation,
left = OperandSyntax(operand = parent.render(node.left), parentheses = true),
right = OperandSyntax(operand = parent.render(node.right), parentheses = true),
)
public override fun renderBinary(parent: FeaturedMathRenderer, node: MST.Binary): BinaryMinusSyntax =
BinaryMinusSyntax(
operation = node.operation,
left = OperandSyntax(operand = parent.render(node.left), parentheses = true),
right = OperandSyntax(operand = parent.render(node.right), parentheses = true),
)
public companion object {
/**
* The default instance configured with [GroupOperations.MINUS_OPERATION].
*/
public val Default: BinaryMinus = BinaryMinus(setOf(GroupOperations.MINUS_OPERATION))
}
}
/**
* Handles unary nodes by producing [UnaryPlusSyntax].
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public class UnaryPlus(operations: Collection<String>?) : Unary(operations) {
public override fun render0(parent: FeaturedMathRenderer, node: MST.Unary): MathSyntax = UnaryPlusSyntax(
public override fun renderUnary(parent: FeaturedMathRenderer, node: MST.Unary): UnaryPlusSyntax = UnaryPlusSyntax(
operation = node.operation,
operand = OperandSyntax(operand = parent.render(node.value), parentheses = true),
)
public companion object {
/**
* The default instance configured with [GroupOperations.PLUS_OPERATION].
*/
public val Default: UnaryPlus = UnaryPlus(setOf(GroupOperations.PLUS_OPERATION))
}
}
/**
* Handles binary nodes by producing [UnaryMinusSyntax].
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public class UnaryMinus(operations: Collection<String>?) : Unary(operations) {
public override fun render0(parent: FeaturedMathRenderer, node: MST.Unary): MathSyntax = UnaryMinusSyntax(
public override fun renderUnary(parent: FeaturedMathRenderer, node: MST.Unary): UnaryMinusSyntax = UnaryMinusSyntax(
operation = node.operation,
operand = OperandSyntax(operand = parent.render(node.value), parentheses = true),
)
public companion object {
/**
* The default instance configured with [GroupOperations.MINUS_OPERATION].
*/
public val Default: UnaryMinus = UnaryMinus(setOf(GroupOperations.MINUS_OPERATION))
}
}
/**
* Handles binary nodes by producing [FractionSyntax].
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public class Fraction(operations: Collection<String>?) : Binary(operations) {
public override fun render0(parent: FeaturedMathRenderer, node: MST.Binary): MathSyntax = FractionSyntax(
public override fun renderBinary(parent: FeaturedMathRenderer, node: MST.Binary): FractionSyntax = FractionSyntax(
operation = node.operation,
left = parent.render(node.left),
right = parent.render(node.right),
left = OperandSyntax(operand = parent.render(node.left), parentheses = true),
right = OperandSyntax(operand = parent.render(node.right), parentheses = true),
infix = true,
)
public companion object {
/**
* The default instance configured with [FieldOperations.DIV_OPERATION].
*/
public val Default: Fraction = Fraction(setOf(FieldOperations.DIV_OPERATION))
}
}
/**
* Handles binary nodes by producing [BinaryOperatorSyntax].
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public class BinaryOperator(operations: Collection<String>?) : Binary(operations) {
public override fun render0(parent: FeaturedMathRenderer, node: MST.Binary): MathSyntax = BinaryOperatorSyntax(
operation = node.operation,
prefix = OperatorNameSyntax(name = node.operation),
left = parent.render(node.left),
right = parent.render(node.right),
)
public override fun renderBinary(parent: FeaturedMathRenderer, node: MST.Binary): BinaryOperatorSyntax =
BinaryOperatorSyntax(
operation = node.operation,
prefix = OperatorNameSyntax(name = node.operation),
left = parent.render(node.left),
right = parent.render(node.right),
)
public companion object {
/**
* The default instance configured with `null`.
*/
public val Default: BinaryOperator = BinaryOperator(null)
}
}
/**
* Handles unary nodes by producing [UnaryOperatorSyntax].
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public class UnaryOperator(operations: Collection<String>?) : Unary(operations) {
public override fun render0(parent: FeaturedMathRenderer, node: MST.Unary): MathSyntax = UnaryOperatorSyntax(
operation = node.operation,
prefix = OperatorNameSyntax(node.operation),
operand = OperandSyntax(parent.render(node.value), true),
)
public override fun renderUnary(parent: FeaturedMathRenderer, node: MST.Unary): UnaryOperatorSyntax =
UnaryOperatorSyntax(
operation = node.operation,
prefix = OperatorNameSyntax(node.operation),
operand = OperandSyntax(parent.render(node.value), true),
)
public companion object {
/**
* The default instance configured with `null`.
*/
public val Default: UnaryOperator = UnaryOperator(null)
}
}
/**
* Handles binary nodes by producing [SuperscriptSyntax].
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public class Power(operations: Collection<String>?) : Binary(operations) {
public override fun render0(parent: FeaturedMathRenderer, node: MST.Binary): MathSyntax = SuperscriptSyntax(
operation = node.operation,
left = OperandSyntax(parent.render(node.left), true),
right = OperandSyntax(parent.render(node.right), true),
)
public override fun renderBinary(parent: FeaturedMathRenderer, node: MST.Binary): SuperscriptSyntax =
SuperscriptSyntax(
operation = node.operation,
left = OperandSyntax(parent.render(node.left), true),
right = OperandSyntax(parent.render(node.right), true),
)
public companion object {
/**
* The default instance configured with [PowerOperations.POW_OPERATION].
*/
public val Default: Power = Power(setOf(PowerOperations.POW_OPERATION))
}
}
/**
* Handles binary nodes by producing [RadicalSyntax] with no index.
*/
@UnstableKMathAPI
public class SquareRoot(operations: Collection<String>?) : Unary(operations) {
public override fun render0(parent: FeaturedMathRenderer, node: MST.Unary): MathSyntax =
public override fun renderUnary(parent: FeaturedMathRenderer, node: MST.Unary): RadicalSyntax =
RadicalSyntax(operation = node.operation, operand = parent.render(node.value))
public companion object {
/**
* The default instance configured with [PowerOperations.SQRT_OPERATION].
*/
public val Default: SquareRoot = SquareRoot(setOf(PowerOperations.SQRT_OPERATION))
}
}
public class Exponential(operations: Collection<String>?) : Unary(operations) {
public override fun render0(parent: FeaturedMathRenderer, node: MST.Unary): MathSyntax = SuperscriptSyntax(
/**
* Handles unary nodes by producing [ExponentSyntax].
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public class Exponent(operations: Collection<String>?) : Unary(operations) {
public override fun renderUnary(parent: FeaturedMathRenderer, node: MST.Unary): ExponentSyntax = ExponentSyntax(
operation = node.operation,
left = SymbolSyntax(string = "e"),
right = parent.render(node.value),
)
public companion object {
public val Default: Exponential = Exponential(setOf(ExponentialOperations.EXP_OPERATION))
}
}
public class Multiplication(operations: Collection<String>?) : Binary(operations) {
public override fun render0(parent: FeaturedMathRenderer, node: MST.Binary): MathSyntax = MultiplicationSyntax(
operation = node.operation,
left = OperandSyntax(operand = parent.render(node.left), parentheses = true),
right = OperandSyntax(operand = parent.render(node.right), parentheses = true),
times = true,
)
public companion object {
public val Default: Multiplication = Multiplication(setOf(
RingOperations.TIMES_OPERATION,
))
}
}
public class InverseTrigonometricOperations(operations: Collection<String>?) : Unary(operations) {
public override fun render0(parent: FeaturedMathRenderer, node: MST.Unary): MathSyntax = UnaryOperatorSyntax(
operation = node.operation,
prefix = SuperscriptSyntax(
operation = PowerOperations.POW_OPERATION,
left = OperatorNameSyntax(name = node.operation.removePrefix("a")),
right = UnaryMinusSyntax(
operation = GroupOperations.MINUS_OPERATION,
operand = OperandSyntax(operand = NumberSyntax(string = "1"), parentheses = true),
),
),
operand = OperandSyntax(operand = parent.render(node.value), parentheses = true),
useOperatorForm = true,
)
public companion object {
/**
* The default instance configured with [ExponentialOperations.EXP_OPERATION].
*/
public val Default: Exponent = Exponent(setOf(ExponentialOperations.EXP_OPERATION))
}
}
/**
* Handles binary nodes by producing [MultiplicationSyntax].
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public class Multiplication(operations: Collection<String>?) : Binary(operations) {
public override fun renderBinary(parent: FeaturedMathRenderer, node: MST.Binary): MultiplicationSyntax =
MultiplicationSyntax(
operation = node.operation,
left = OperandSyntax(operand = parent.render(node.left), parentheses = true),
right = OperandSyntax(operand = parent.render(node.right), parentheses = true),
times = true,
)
public companion object {
/**
* The default instance configured with [RingOperations.TIMES_OPERATION].
*/
public val Default: Multiplication = Multiplication(setOf(RingOperations.TIMES_OPERATION))
}
}
/**
* Handles binary nodes by producing inverse [UnaryOperatorSyntax] with *arc* prefix instead of *a*.
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public class InverseTrigonometricOperations(operations: Collection<String>?) : Unary(operations) {
public override fun renderUnary(parent: FeaturedMathRenderer, node: MST.Unary): UnaryOperatorSyntax =
UnaryOperatorSyntax(
operation = node.operation,
prefix = OperatorNameSyntax(name = node.operation.replaceFirst("a", "arc")),
operand = OperandSyntax(operand = parent.render(node.value), parentheses = true),
)
public companion object {
/**
* The default instance configured with [TrigonometricOperations.ACOS_OPERATION],
* [TrigonometricOperations.ASIN_OPERATION], [TrigonometricOperations.ATAN_OPERATION].
*/
public val Default: InverseTrigonometricOperations = InverseTrigonometricOperations(setOf(
TrigonometricOperations.ACOS_OPERATION,
TrigonometricOperations.ASIN_OPERATION,
TrigonometricOperations.ATAN_OPERATION,
))
}
}
/**
* Handles binary nodes by producing inverse [UnaryOperatorSyntax] with *ar* prefix instead of *a*.
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public class InverseHyperbolicOperations(operations: Collection<String>?) : Unary(operations) {
public override fun renderUnary(parent: FeaturedMathRenderer, node: MST.Unary): UnaryOperatorSyntax =
UnaryOperatorSyntax(
operation = node.operation,
prefix = OperatorNameSyntax(name = node.operation.replaceFirst("a", "ar")),
operand = OperandSyntax(operand = parent.render(node.value), parentheses = true),
)
public companion object {
/**
* The default instance configured with [ExponentialOperations.ACOSH_OPERATION],
* [ExponentialOperations.ASINH_OPERATION], and [ExponentialOperations.ATANH_OPERATION].
*/
public val Default: InverseHyperbolicOperations = InverseHyperbolicOperations(setOf(
ExponentialOperations.ACOSH_OPERATION,
ExponentialOperations.ASINH_OPERATION,
ExponentialOperations.ATANH_OPERATION,

9
kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/multiplatformToString.kt Normal file
View File

@ -0,0 +1,9 @@
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
package space.kscience.kmath.ast.rendering
internal expect fun Double.multiplatformToString(): String
internal expect fun Float.multiplatformToString(): String

369
kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/stages.kt
View File

@ -5,6 +5,7 @@
package space.kscience.kmath.ast.rendering
import space.kscience.kmath.misc.UnstableKMathAPI
import space.kscience.kmath.operations.FieldOperations
import space.kscience.kmath.operations.GroupOperations
import space.kscience.kmath.operations.PowerOperations
@ -15,70 +16,182 @@ import space.kscience.kmath.operations.RingOperations
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public object BetterMultiplication : FeaturedMathRendererWithPostProcess.PostProcessStage {
public override fun perform(node: MathSyntax) {
when (node) {
is NumberSyntax -> Unit
is SymbolSyntax -> Unit
is OperatorNameSyntax -> Unit
is SpecialSymbolSyntax -> Unit
is OperandSyntax -> perform(node.operand)
public override fun perform(node: MathSyntax): Unit = when (node) {
is NumberSyntax -> Unit
is SymbolSyntax -> Unit
is OperatorNameSyntax -> Unit
is SpecialSymbolSyntax -> Unit
is OperandSyntax -> perform(node.operand)
is UnaryOperatorSyntax -> {
perform(node.prefix)
perform(node.operand)
}
is UnaryPlusSyntax -> perform(node.operand)
is UnaryMinusSyntax -> perform(node.operand)
is RadicalSyntax -> perform(node.operand)
is SuperscriptSyntax -> {
perform(node.left)
perform(node.right)
}
is SubscriptSyntax -> {
perform(node.left)
perform(node.right)
}
is BinaryOperatorSyntax -> {
perform(node.prefix)
perform(node.left)
perform(node.right)
}
is BinaryPlusSyntax -> {
perform(node.left)
perform(node.right)
}
is BinaryMinusSyntax -> {
perform(node.left)
perform(node.right)
}
is FractionSyntax -> {
perform(node.left)
perform(node.right)
}
is RadicalWithIndexSyntax -> {
perform(node.left)
perform(node.right)
}
is MultiplicationSyntax -> {
node.times = node.right.operand is NumberSyntax && !node.right.parentheses
|| node.left.operand is NumberSyntax && node.right.operand is FractionSyntax
|| node.left.operand is NumberSyntax && node.right.operand is NumberSyntax
|| node.left.operand is NumberSyntax && node.right.operand is SuperscriptSyntax && node.right.operand.left is NumberSyntax
perform(node.left)
perform(node.right)
}
is UnaryOperatorSyntax -> {
perform(node.prefix)
perform(node.operand)
}
is UnaryPlusSyntax -> perform(node.operand)
is UnaryMinusSyntax -> perform(node.operand)
is RadicalSyntax -> perform(node.operand)
is ExponentSyntax -> perform(node.operand)
is SuperscriptSyntax -> {
perform(node.left)
perform(node.right)
}
is SubscriptSyntax -> {
perform(node.left)
perform(node.right)
}
is BinaryOperatorSyntax -> {
perform(node.prefix)
perform(node.left)
perform(node.right)
}
is BinaryPlusSyntax -> {
perform(node.left)
perform(node.right)
}
is BinaryMinusSyntax -> {
perform(node.left)
perform(node.right)
}
is FractionSyntax -> {
perform(node.left)
perform(node.right)
}
is RadicalWithIndexSyntax -> {
perform(node.left)
perform(node.right)
}
is MultiplicationSyntax -> {
node.times = node.right.operand is NumberSyntax && !node.right.parentheses
|| node.left.operand is NumberSyntax && node.right.operand is FractionSyntax
|| node.left.operand is NumberSyntax && node.right.operand is NumberSyntax
|| node.left.operand is NumberSyntax && node.right.operand is SuperscriptSyntax && node.right.operand.left is NumberSyntax
perform(node.left)
perform(node.right)
}
}
}
/**
* Chooses [FractionSyntax.infix] depending on the context.
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public object BetterFraction : FeaturedMathRendererWithPostProcess.PostProcessStage {
private fun perform0(node: MathSyntax, infix: Boolean = false): Unit = when (node) {
is NumberSyntax -> Unit
is SymbolSyntax -> Unit
is OperatorNameSyntax -> Unit
is SpecialSymbolSyntax -> Unit
is OperandSyntax -> perform0(node.operand, infix)
is UnaryOperatorSyntax -> {
perform0(node.prefix, infix)
perform0(node.operand, infix)
}
is UnaryPlusSyntax -> perform0(node.operand, infix)
is UnaryMinusSyntax -> perform0(node.operand, infix)
is RadicalSyntax -> perform0(node.operand, infix)
is ExponentSyntax -> perform0(node.operand, infix)
is SuperscriptSyntax -> {
perform0(node.left, true)
perform0(node.right, true)
}
is SubscriptSyntax -> {
perform0(node.left, true)
perform0(node.right, true)
}
is BinaryOperatorSyntax -> {
perform0(node.prefix, infix)
perform0(node.left, infix)
perform0(node.right, infix)
}
is BinaryPlusSyntax -> {
perform0(node.left, infix)
perform0(node.right, infix)
}
is BinaryMinusSyntax -> {
perform0(node.left, infix)
perform0(node.right, infix)
}
is FractionSyntax -> {
node.infix = infix
perform0(node.left, infix)
perform0(node.right, infix)
}
is RadicalWithIndexSyntax -> {
perform0(node.left, true)
perform0(node.right, true)
}
is MultiplicationSyntax -> {
perform0(node.left, infix)
perform0(node.right, infix)
}
}
public override fun perform(node: MathSyntax): Unit = perform0(node)
}
/**
* Applies [ExponentSyntax.useOperatorForm] to [ExponentSyntax] when the operand contains a fraction, a
* superscript or a subscript to improve readability.
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public object BetterExponent : FeaturedMathRendererWithPostProcess.PostProcessStage {
private fun perform0(node: MathSyntax): Boolean {
return when (node) {
is NumberSyntax -> false
is SymbolSyntax -> false
is OperatorNameSyntax -> false
is SpecialSymbolSyntax -> false
is OperandSyntax -> perform0(node.operand)
is UnaryOperatorSyntax -> perform0(node.prefix) || perform0(node.operand)
is UnaryPlusSyntax -> perform0(node.operand)
is UnaryMinusSyntax -> perform0(node.operand)
is RadicalSyntax -> true
is ExponentSyntax -> {
val r = perform0(node.operand)
node.useOperatorForm = r
r
}
is SuperscriptSyntax -> true
is SubscriptSyntax -> true
is BinaryOperatorSyntax -> perform0(node.prefix) || perform0(node.left) || perform0(node.right)
is BinaryPlusSyntax -> perform0(node.left) || perform0(node.right)
is BinaryMinusSyntax -> perform0(node.left) || perform0(node.right)
is FractionSyntax -> true
is RadicalWithIndexSyntax -> true
is MultiplicationSyntax -> perform0(node.left) || perform0(node.right)
}
}
public override fun perform(node: MathSyntax) {
perform0(node)
}
}
@ -88,91 +201,95 @@ public object BetterMultiplication : FeaturedMathRendererWithPostProcess.PostPro
* @property precedenceFunction Returns the precedence number for syntax node. Higher number is lower priority.
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public class SimplifyParentheses(public val precedenceFunction: (MathSyntax) -> Int) :
FeaturedMathRendererWithPostProcess.PostProcessStage {
public override fun perform(node: MathSyntax) {
when (node) {
is NumberSyntax -> Unit
is SymbolSyntax -> Unit
is OperatorNameSyntax -> Unit
is SpecialSymbolSyntax -> Unit
public override fun perform(node: MathSyntax): Unit = when (node) {
is NumberSyntax -> Unit
is SymbolSyntax -> Unit
is OperatorNameSyntax -> Unit
is SpecialSymbolSyntax -> Unit
is OperandSyntax -> {
val isRightOfSuperscript =
(node.parent is SuperscriptSyntax) && (node.parent as SuperscriptSyntax).right === node
is OperandSyntax -> {
val isRightOfSuperscript =
(node.parent is SuperscriptSyntax) && (node.parent as SuperscriptSyntax).right === node
val precedence = precedenceFunction(node.operand)
val precedence = precedenceFunction(node.operand)
val needParenthesesByPrecedence = when (val parent = node.parent) {
null -> false
val needParenthesesByPrecedence = when (val parent = node.parent) {
null -> false
is BinarySyntax -> {
val parentPrecedence = precedenceFunction(parent)
is BinarySyntax -> {
val parentPrecedence = precedenceFunction(parent)
parentPrecedence < precedence ||
parentPrecedence == precedence && parentPrecedence != 0 && node === parent.right
}
else -> precedence > precedenceFunction(parent)
parentPrecedence < precedence ||
parentPrecedence == precedence && parentPrecedence != 0 && node === parent.right
}
node.parentheses = !isRightOfSuperscript
&& (needParenthesesByPrecedence || node.parent is UnaryOperatorSyntax)
perform(node.operand)
else -> precedence > precedenceFunction(parent)
}
is UnaryOperatorSyntax -> {
perform(node.prefix)
perform(node.operand)
}
val isInsideExpOperator =
node.parent is ExponentSyntax && (node.parent as ExponentSyntax).useOperatorForm
is UnaryPlusSyntax -> perform(node.operand)
is UnaryMinusSyntax -> {
perform(node.operand)
}
is RadicalSyntax -> perform(node.operand)
val isOnOrUnderNormalFraction = node.parent is FractionSyntax && !((node.parent as FractionSyntax).infix)
is SuperscriptSyntax -> {
perform(node.left)
perform(node.right)
}
node.parentheses = !isRightOfSuperscript
&& (needParenthesesByPrecedence || node.parent is UnaryOperatorSyntax || isInsideExpOperator)
&& !isOnOrUnderNormalFraction
is SubscriptSyntax -> {
perform(node.left)
perform(node.right)
}
perform(node.operand)
}
is BinaryOperatorSyntax -> {
perform(node.prefix)
perform(node.left)
perform(node.right)
}
is UnaryOperatorSyntax -> {
perform(node.prefix)
perform(node.operand)
}
is BinaryPlusSyntax -> {
perform(node.left)
perform(node.right)
}
is UnaryPlusSyntax -> perform(node.operand)
is UnaryMinusSyntax -> perform(node.operand)
is RadicalSyntax -> perform(node.operand)
is ExponentSyntax -> perform(node.operand)
is BinaryMinusSyntax -> {
perform(node.left)
perform(node.right)
}
is SuperscriptSyntax -> {
perform(node.left)
perform(node.right)
}
is FractionSyntax -> {
perform(node.left)
perform(node.right)
}
is SubscriptSyntax -> {
perform(node.left)
perform(node.right)
}
is MultiplicationSyntax -> {
perform(node.left)
perform(node.right)
}
is BinaryOperatorSyntax -> {
perform(node.prefix)
perform(node.left)
perform(node.right)
}
is RadicalWithIndexSyntax -> {
perform(node.left)
perform(node.right)
}
is BinaryPlusSyntax -> {
perform(node.left)
perform(node.right)
}
is BinaryMinusSyntax -> {
perform(node.left)
perform(node.right)
}
is FractionSyntax -> {
perform(node.left)
perform(node.right)
}
is MultiplicationSyntax -> {
perform(node.left)
perform(node.right)
}
is RadicalWithIndexSyntax -> {
perform(node.left)
perform(node.right)
}
}

56
kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestCompilerConsistencyWithInterpreter.kt Normal file
View File

@ -0,0 +1,56 @@
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
package space.kscience.kmath.ast
import space.kscience.kmath.expressions.MstField
import space.kscience.kmath.expressions.MstRing
import space.kscience.kmath.expressions.interpret
import space.kscience.kmath.misc.Symbol.Companion.x
import space.kscience.kmath.operations.DoubleField
import space.kscience.kmath.operations.IntRing
import space.kscience.kmath.operations.bindSymbol
import space.kscience.kmath.operations.invoke
import kotlin.test.Test
import kotlin.test.assertEquals
internal class TestCompilerConsistencyWithInterpreter {
@Test
fun intRing() = runCompilerTest {
val mst = MstRing {
binaryOperationFunction("+")(
unaryOperationFunction("+")(
(bindSymbol(x) - (2.toByte() + (scale(
add(number(1), number(1)),
2.0,
) + 1.toByte()))) * 3.0 - 1.toByte()
),
number(1),
) * number(2)
}
assertEquals(
mst.interpret(IntRing, x to 3),
mst.compile(IntRing, x to 3),
)
}
@Test
fun doubleField() = runCompilerTest {
val mst = MstField {
+(3 - 2 + 2 * number(1) + 1.0) + binaryOperationFunction("+")(
(3.0 - (bindSymbol(x) + (scale(add(number(1.0), number(1.0)), 2.0) + 1.0))) * 3 - 1.0
+ number(1),
number(1) / 2 + number(2.0) * one,
) + zero
}
assertEquals(
mst.interpret(DoubleField, x to 2.0),
mst.compile(DoubleField, x to 2.0),
)
}
}

65
kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestCompilerOperations.kt Normal file
View File

@ -0,0 +1,65 @@
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
package space.kscience.kmath.ast
import space.kscience.kmath.expressions.MstExtendedField
import space.kscience.kmath.expressions.invoke
import space.kscience.kmath.misc.Symbol.Companion.x
import space.kscience.kmath.operations.DoubleField
import space.kscience.kmath.operations.bindSymbol
import space.kscience.kmath.operations.invoke
import kotlin.test.Test
import kotlin.test.assertEquals
internal class TestCompilerOperations {
@Test
fun testUnaryPlus() = runCompilerTest {
val expr = MstExtendedField { +bindSymbol(x) }.compileToExpression(DoubleField)
assertEquals(2.0, expr(x to 2.0))
}
@Test
fun testUnaryMinus() = runCompilerTest {
val expr = MstExtendedField { -bindSymbol(x) }.compileToExpression(DoubleField)
assertEquals(-2.0, expr(x to 2.0))
}
@Test
fun testAdd() = runCompilerTest {
val expr = MstExtendedField { bindSymbol(x) + bindSymbol(x) }.compileToExpression(DoubleField)
assertEquals(4.0, expr(x to 2.0))
}
@Test
fun testSine() = runCompilerTest {
val expr = MstExtendedField { sin(bindSymbol(x)) }.compileToExpression(DoubleField)
assertEquals(0.0, expr(x to 0.0))
}
@Test
fun testCosine() = runCompilerTest {
val expr = MstExtendedField { cos(bindSymbol(x)) }.compileToExpression(DoubleField)
assertEquals(1.0, expr(x to 0.0))
}
@Test
fun testSubtract() = runCompilerTest {
val expr = MstExtendedField { bindSymbol(x) - bindSymbol(x) }.compileToExpression(DoubleField)
assertEquals(0.0, expr(x to 2.0))
}
@Test
fun testDivide() = runCompilerTest {
val expr = MstExtendedField { bindSymbol(x) / bindSymbol(x) }.compileToExpression(DoubleField)
assertEquals(1.0, expr(x to 2.0))
}
@Test
fun testPower() = runCompilerTest {
val expr = MstExtendedField { bindSymbol(x) pow 2 }.compileToExpression(DoubleField)
assertEquals(4.0, expr(x to 2.0))
}
}

30
kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestCompilerVariables.kt Normal file
View File

@ -0,0 +1,30 @@
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
package space.kscience.kmath.ast
import space.kscience.kmath.expressions.MstRing
import space.kscience.kmath.expressions.invoke
import space.kscience.kmath.misc.Symbol.Companion.x
import space.kscience.kmath.operations.IntRing
import space.kscience.kmath.operations.bindSymbol
import space.kscience.kmath.operations.invoke
import kotlin.test.Test
import kotlin.test.assertEquals
import kotlin.test.assertFailsWith
internal class TestCompilerVariables {
@Test
fun testVariable() = runCompilerTest {
val expr = MstRing { bindSymbol(x) }.compileToExpression(IntRing)
assertEquals(1, expr(x to 1))
}
@Test
fun testUndefinedVariableFails() = runCompilerTest {
val expr = MstRing { bindSymbol(x) }.compileToExpression(IntRing)
assertFailsWith<NoSuchElementException> { expr() }
}
}

19
kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/ast/ParserTest.kt → kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestParser.kt
View File

@ -7,31 +7,22 @@ package space.kscience.kmath.ast
import space.kscience.kmath.complex.Complex
import space.kscience.kmath.complex.ComplexField
import space.kscience.kmath.expressions.MstField
import space.kscience.kmath.expressions.evaluate
import space.kscience.kmath.expressions.interpret
import space.kscience.kmath.operations.Algebra
import space.kscience.kmath.operations.DoubleField
import space.kscience.kmath.operations.invoke
import kotlin.test.Test
import kotlin.test.assertEquals
internal class ParserTest {
internal class TestParser {
@Test
fun `evaluate MST`() {
fun evaluateParsedMst() {
val mst = "2+2*(2+2)".parseMath()
val res = ComplexField.evaluate(mst)
assertEquals(Complex(10.0, 0.0), res)
}
@Test
fun `evaluate MSTExpression`() {
val res = MstField.invoke { number(2) + number(2) * (number(2) + number(2)) }.interpret(ComplexField)
assertEquals(Complex(10.0, 0.0), res)
}
@Test
fun `evaluate MST with singular`() {
fun evaluateMstSymbol() {
val mst = "i".parseMath()
val res = ComplexField.evaluate(mst)
assertEquals(ComplexField.i, res)
@ -39,14 +30,14 @@ internal class ParserTest {
@Test
fun `evaluate MST with unary function`() {
fun evaluateMstUnary() {
val mst = "sin(0)".parseMath()
val res = DoubleField.evaluate(mst)
assertEquals(0.0, res)
}
@Test
fun `evaluate MST with binary function`() {
fun evaluateMstBinary() {
val magicalAlgebra = object : Algebra<String> {
override fun bindSymbolOrNull(value: String): String = value

9
kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/ast/ParserPrecedenceTest.kt → kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestParserPrecedence.kt
View File

@ -7,13 +7,10 @@ package space.kscience.kmath.ast
import space.kscience.kmath.expressions.evaluate
import space.kscience.kmath.operations.DoubleField
import space.kscience.kmath.operations.Field
import kotlin.test.Test
import kotlin.test.assertEquals
internal class ParserPrecedenceTest {
private val f: Field<Double> = DoubleField
internal class TestParserPrecedence {
@Test
fun test1(): Unit = assertEquals(6.0, f.evaluate("2*2+2".parseMath()))
@ -37,4 +34,8 @@ internal class ParserPrecedenceTest {
@Test
fun test8(): Unit = assertEquals(18.0, f.evaluate("2*2^3+2".parseMath()))
private companion object {
private val f = DoubleField
}
}

34
kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/ast/rendering/TestFeatures.kt → kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/rendering/TestFeatures.kt
View File

@ -42,6 +42,22 @@ internal class TestFeatures {
testLatex(Numeric(1.1e-10), "1.1\\times10^{-10}")
testLatex(Numeric(-1.1e-10), "-1.1\\times10^{-10}")
testLatex(Numeric(-1.1e10), "-1.1\\times10^{10}")
testLatex(Numeric(0.001), "0.001")
testLatex(Numeric(0.0000001), "1\\times10^{-7}")
testLatex(Numeric(Float.NaN), "NaN")
testLatex(Numeric(Float.POSITIVE_INFINITY), "\\infty")
testLatex(Numeric(Float.NEGATIVE_INFINITY), "-\\infty")
testLatex(Numeric(1.0f), "1")
testLatex(Numeric(-1.0f), "-1")
testLatex(Numeric(1.42f), "1.42")
testLatex(Numeric(-1.42f), "-1.42")
testLatex(Numeric(1e10f), "1\\times10^{10}")
testLatex(Numeric(1e-10f), "1\\times10^{-10}")
testLatex(Numeric(-1e-10f), "-1\\times10^{-10}")
testLatex(Numeric(-1e10f), "-1\\times10^{10}")
testLatex(Numeric(0.001f), "0.001")
testLatex(Numeric(0.0000001f), "1\\times10^{-7}")
}
@Test
@ -83,13 +99,17 @@ internal class TestFeatures {
fun multiplication() = testLatex("x*1", "x\\times1")
@Test
fun inverseTrigonometry() {
testLatex("asin(x)", "\\operatorname{sin}^{-1}\\,\\left(x\\right)")
testLatex("asinh(x)", "\\operatorname{sinh}^{-1}\\,\\left(x\\right)")
testLatex("acos(x)", "\\operatorname{cos}^{-1}\\,\\left(x\\right)")
testLatex("acosh(x)", "\\operatorname{cosh}^{-1}\\,\\left(x\\right)")
testLatex("atan(x)", "\\operatorname{tan}^{-1}\\,\\left(x\\right)")
testLatex("atanh(x)", "\\operatorname{tanh}^{-1}\\,\\left(x\\right)")
fun inverseTrigonometric() {
testLatex("asin(x)", "\\operatorname{arcsin}\\,\\left(x\\right)")
testLatex("acos(x)", "\\operatorname{arccos}\\,\\left(x\\right)")
testLatex("atan(x)", "\\operatorname{arctan}\\,\\left(x\\right)")
}
@Test
fun inverseHyperbolic() {
testLatex("asinh(x)", "\\operatorname{arsinh}\\,\\left(x\\right)")
testLatex("acosh(x)", "\\operatorname{arcosh}\\,\\left(x\\right)")
testLatex("atanh(x)", "\\operatorname{artanh}\\,\\left(x\\right)")
}
// @Test

0
kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/ast/rendering/TestLatex.kt → kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/rendering/TestLatex.kt
View File

0
kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/ast/rendering/TestMathML.kt → kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/rendering/TestMathML.kt
View File

13
kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/ast/rendering/TestStages.kt → kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/rendering/TestStages.kt
View File

@ -30,4 +30,17 @@ internal class TestStages {
testLatex("(x+x)^x+x*x", "\\left(x+x\\right)^{x}+x\\,x")
testLatex("x^(x+x)", "x^{x+x}")
}
@Test
fun exponent() {
testLatex("exp(x)", "e^{x}")
testLatex("exp(x/2)", "\\operatorname{exp}\\,\\left(\\frac{x}{2}\\right)")
testLatex("exp(x^2)", "\\operatorname{exp}\\,\\left(x^{2}\\right)")
}
@Test
fun fraction() {
testLatex("x/y", "\\frac{x}{y}")
testLatex("x^(x/y)", "x^{x/y}")
}
}

6
kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/ast/rendering/TestUtils.kt → kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/rendering/TestUtils.kt
View File

@ -30,17 +30,17 @@ internal object TestUtils {
)
internal fun testMathML(mst: MST, expectedMathML: String) = assertEquals(
expected = "<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mrow>$expectedMathML</mrow></math>",
expected = "<math xmlns=\"https://www.w3.org/1998/Math/MathML\"><mrow>$expectedMathML</mrow></math>",
actual = mathML(mst),
)
internal fun testMathML(expression: String, expectedMathML: String) = assertEquals(
expected = "<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mrow>$expectedMathML</mrow></math>",
expected = "<math xmlns=\"https://www.w3.org/1998/Math/MathML\"><mrow>$expectedMathML</mrow></math>",
actual = mathML(expression.parseMath()),
)
internal fun testMathML(expression: MathSyntax, expectedMathML: String) = assertEquals(
expected = "<math xmlns=\"http://www.w3.org/1998/Math/MathML\"><mrow>$expectedMathML</mrow></math>",
expected = "<math xmlns=\"https://www.w3.org/1998/Math/MathML\"><mrow>$expectedMathML</mrow></math>",
actual = MathMLSyntaxRenderer.renderWithStringBuilder(expression),
)
}

25
kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/utils.kt Normal file
View File

@ -0,0 +1,25 @@
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
package space.kscience.kmath.ast
import space.kscience.kmath.expressions.Expression
import space.kscience.kmath.expressions.MST
import space.kscience.kmath.misc.Symbol
import space.kscience.kmath.operations.DoubleField
import space.kscience.kmath.operations.IntRing
internal interface CompilerTestContext {
fun MST.compileToExpression(algebra: IntRing): Expression<Int>
fun MST.compile(algebra: IntRing, arguments: Map<Symbol, Int>): Int
fun MST.compile(algebra: IntRing, vararg arguments: Pair<Symbol, Int>): Int = compile(algebra, mapOf(*arguments))
fun MST.compileToExpression(algebra: DoubleField): Expression<Double>
fun MST.compile(algebra: DoubleField, arguments: Map<Symbol, Double>): Double
fun MST.compile(algebra: DoubleField, vararg arguments: Pair<Symbol, Double>): Double =
compile(algebra, mapOf(*arguments))
}
internal expect inline fun runCompilerTest(action: CompilerTestContext.() -> Unit)

18
kmath-ast/src/jsMain/kotlin/space/kscience/kmath/ast/rendering/multiplatformToString.kt Normal file
View File

@ -0,0 +1,18 @@
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
package space.kscience.kmath.ast.rendering
internal actual fun Double.multiplatformToString(): String {
val d = this
if (d >= 1e7 || d <= -1e7) return js("d.toExponential()") as String
return toString()
}
internal actual fun Float.multiplatformToString(): String {
val d = this
if (d >= 1e7f || d <= -1e7f) return js("d.toExponential()") as String
return toString()
}

2
kmath-ast/src/jsMain/kotlin/space/kscience/kmath/estree/estree.kt
View File

@ -6,11 +6,11 @@
package space.kscience.kmath.estree
import space.kscience.kmath.estree.internal.ESTreeBuilder
import space.kscience.kmath.estree.internal.estree.BaseExpression
import space.kscience.kmath.expressions.Expression
import space.kscience.kmath.expressions.MST
import space.kscience.kmath.expressions.MST.*
import space.kscience.kmath.expressions.invoke
import space.kscience.kmath.internal.estree.BaseExpression
import space.kscience.kmath.misc.Symbol
import space.kscience.kmath.operations.Algebra
import space.kscience.kmath.operations.NumericAlgebra

9
kmath-ast/src/jsMain/kotlin/space/kscience/kmath/estree/internal/ESTreeBuilder.kt
View File

@ -5,9 +5,14 @@
package space.kscience.kmath.estree.internal
import space.kscience.kmath.estree.internal.astring.generate
import space.kscience.kmath.estree.internal.estree.*
import space.kscience.kmath.expressions.Expression
import space.kscience.kmath.internal.astring.generate
import space.kscience.kmath.internal.estree.*
import space.kscience.kmath.internal.estree.BaseExpression
import space.kscience.kmath.internal.estree.BlockStatement
import space.kscience.kmath.internal.estree.Program
import space.kscience.kmath.internal.estree.VariableDeclaration
import space.kscience.kmath.internal.estree.VariableDeclarator
import space.kscience.kmath.misc.Symbol
internal class ESTreeBuilder<T>(val bodyCallback: ESTreeBuilder<T>.() -> BaseExpression) {

4
kmath-ast/src/jsMain/kotlin/space/kscience/kmath/estree/internal/astring/astring.kt → kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/astring/astring.kt
View File

@ -6,9 +6,9 @@
@file:JsModule("astring")
@file:JsNonModule
package space.kscience.kmath.estree.internal.astring
package space.kscience.kmath.internal.astring
import space.kscience.kmath.estree.internal.estree.BaseNode
import space.kscience.kmath.internal.estree.BaseNode
internal external interface Options {
var indent: String?

6
license/COPYRIGHT_HEADER.txt → kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/astring/astring.typealises.kt
View File

@ -1,4 +1,8 @@
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
*/
package space.kscience.kmath.internal.astring
internal typealias Generator = Any

54
kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/base64/base64.kt Normal file
View File

@ -0,0 +1,54 @@
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
@file:Suppress(
"INTERFACE_WITH_SUPERCLASS",
"OVERRIDING_FINAL_MEMBER",
"RETURN_TYPE_MISMATCH_ON_OVERRIDE",
"CONFLICTING_OVERLOADS",
"NO_EXPLICIT_VISIBILITY_IN_API_MODE_WARNING",
"ObjectPropertyName",
"ClassName",
)
@file:JsNonModule
@file:JsModule("js-base64")
package space.kscience.kmath.internal.base64
import org.khronos.webgl.Uint8Array
internal external var version: Any
internal external var VERSION: Any
internal external var btoaPolyfill: (bin: String) -> String
internal external var _btoa: (bin: String) -> String
internal external var fromUint8Array: (u8a: Uint8Array, urlsafe: Boolean) -> String
internal external var utob: (u: String) -> String
internal external var encode: (src: String, urlsafe: Boolean) -> String
internal external var encodeURI: (src: String) -> String
internal external var btou: (b: String) -> String
internal external var atobPolyfill: (asc: String) -> String
internal external var _atob: (asc: String) -> String
internal external var toUint8Array: (a: String) -> Uint8Array
internal external var decode: (src: String) -> String
internal external var isValid: (src: Any) -> Boolean
internal external var extendString: () -> Unit
internal external var extendUint8Array: () -> Unit
internal external var extendBuiltins: () -> Unit

2239
kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/binaryen/index.binaryen.kt Normal file
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File diff suppressed because it is too large Load Diff

16
kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/binaryen/index.binaryen.typealiases.kt Normal file
View File

@ -0,0 +1,16 @@
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
@file:Suppress("PackageDirectoryMismatch", "NO_EXPLICIT_VISIBILITY_IN_API_MODE_WARNING", "KDocMissingDocumentation")
package space.kscience.kmath.internal.binaryen
internal typealias Type = Number
internal typealias ExpressionRef = Number
internal typealias FunctionRef = Number
internal typealias GlobalRef = Number
internal typealias ExportRef = Number
internal typealias EventRef = Number
internal typealias RelooperBlockRef = Number

2
kmath-ast/src/jsMain/kotlin/space/kscience/kmath/estree/internal/emitter/emitter.kt → kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/emitter/emitter.kt
View File

@ -3,7 +3,7 @@
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
package space.kscience.kmath.estree.internal.emitter
package space.kscience.kmath.internal.emitter
internal open external class Emitter {
constructor(obj: Any)

2
kmath-ast/src/jsMain/kotlin/space/kscience/kmath/estree/internal/estree/estree.extensions.kt → kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/estree/estree.extensions.kt
View File

@ -3,7 +3,7 @@
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
package space.kscience.kmath.estree.internal.estree
package space.kscience.kmath.internal.estree
internal fun Program(sourceType: String, vararg body: dynamic) = object : Program {
override var type = "Program"

2
kmath-ast/src/jsMain/kotlin/space/kscience/kmath/estree/internal/estree/estree.kt → kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/estree/estree.kt
View File

@ -3,7 +3,7 @@
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
package space.kscience.kmath.estree.internal.estree
package space.kscience.kmath.internal.estree
import kotlin.js.RegExp

4
kmath-ast/src/jsMain/kotlin/space/kscience/kmath/estree/internal/stream/stream.kt → kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/stream/stream.kt
View File

@ -3,9 +3,9 @@
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
package space.kscience.kmath.estree.internal.stream
package space.kscience.kmath.internal.stream
import space.kscience.kmath.estree.internal.emitter.Emitter
import space.kscience.kmath.internal.emitter.Emitter
internal open external class Stream : Emitter {
open fun pipe(dest: Any, options: Any): Any

2
kmath-ast/src/jsMain/kotlin/space/kscience/kmath/estree/internal/tsstdlib/lib.es2015.iterable.kt → kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/tsstdlib/lib.es2015.iterable.kt
View File

@ -3,7 +3,7 @@
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
package space.kscience.kmath.estree.internal.tsstdlib
package space.kscience.kmath.internal.tsstdlib
internal external interface IteratorYieldResult<TYield> {
var done: Boolean?

11
kmath-ast/src/jsMain/kotlin/space/kscience/kmath/estree/internal/tsstdlib/lib.es5.kt → kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/tsstdlib/lib.es5.kt
View File

@ -5,7 +5,7 @@
@file:Suppress("UNUSED_TYPEALIAS_PARAMETER", "DEPRECATION")
package space.kscience.kmath.estree.internal.tsstdlib
package space.kscience.kmath.internal.tsstdlib
import kotlin.js.RegExp
@ -38,6 +38,8 @@ internal external interface RegExpConstructor {
var lastMatch: String
}
internal typealias Record<K, T> = Any
internal external interface ConcatArray<T> {
var length: Number
@ -85,3 +87,10 @@ internal external interface ArrayLike<T> {
}
internal typealias Extract<T, U> = Any
internal external interface PromiseLike<T> {
fun then(
onfulfilled: ((value: T) -> Any?)? = definedExternally,
onrejected: ((reason: Any) -> Any?)? = definedExternally
): PromiseLike<dynamic /* TResult1 | TResult2 */>
}

236
kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/webassembly/lib.dom.WebAssembly.module_dukat.kt Normal file
View File

@ -0,0 +1,236 @@
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
@file:JsQualifier("WebAssembly")
@file:Suppress(
"INTERFACE_WITH_SUPERCLASS",
"OVERRIDING_FINAL_MEMBER",
"RETURN_TYPE_MISMATCH_ON_OVERRIDE",
"NO_EXPLICIT_VISIBILITY_IN_API_MODE_WARNING",
"ClassName",
)
package space.kscience.kmath.internal.webassembly
import space.kscience.kmath.internal.tsstdlib.PromiseLike
import org.khronos.webgl.ArrayBuffer
import org.khronos.webgl.ArrayBufferView
import org.khronos.webgl.Uint8Array
import org.w3c.fetch.Response
import kotlin.js.Promise
@Suppress("NESTED_CLASS_IN_EXTERNAL_INTERFACE")
internal external interface CompileError {
companion object {
var prototype: CompileError
}
}
@Suppress("NESTED_CLASS_IN_EXTERNAL_INTERFACE")
internal external interface Global {
var value: Any
fun valueOf(): Any
companion object {
var prototype: Global
}
}
@Suppress("NESTED_CLASS_IN_EXTERNAL_INTERFACE")
@JsName("Instance")
internal external interface Instance1 {
var exports: Exports
companion object {
var prototype: Instance
}
}
@Suppress("NESTED_CLASS_IN_EXTERNAL_INTERFACE")
internal external interface LinkError {
companion object {
var prototype: LinkError
}
}
@Suppress("NESTED_CLASS_IN_EXTERNAL_INTERFACE")
internal external interface Memory {
var buffer: ArrayBuffer
fun grow(delta: Number): Number
companion object {
var prototype: Memory
}
}
@Suppress("NESTED_CLASS_IN_EXTERNAL_INTERFACE")
@JsName("Module")
internal external interface Module1 {
companion object {
var prototype: Module
fun customSections(moduleObject: Module, sectionName: String): Array<ArrayBuffer>
fun exports(moduleObject: Module): Array<ModuleExportDescriptor>
fun imports(moduleObject: Module): Array<ModuleImportDescriptor>
}
}
@Suppress("NESTED_CLASS_IN_EXTERNAL_INTERFACE")
internal external interface RuntimeError {
companion object {
var prototype: RuntimeError
}
}
@Suppress("NESTED_CLASS_IN_EXTERNAL_INTERFACE")
internal external interface Table {
var length: Number
fun get(index: Number): Function<*>?
fun grow(delta: Number): Number
fun set(index: Number, value: Function<*>?)
companion object {
var prototype: Table
}
}
internal external interface GlobalDescriptor {
var mutable: Boolean?
get() = definedExternally
set(value) = definedExternally
var value: String /* "f32" | "f64" | "i32" | "i64" */
}
internal external interface MemoryDescriptor {
var initial: Number
var maximum: Number?
get() = definedExternally
set(value) = definedExternally
}
internal external interface ModuleExportDescriptor {
var kind: String /* "function" | "global" | "memory" | "table" */
var name: String
}
internal external interface ModuleImportDescriptor {
var kind: String /* "function" | "global" | "memory" | "table" */
var module: String
var name: String
}
internal external interface TableDescriptor {
var element: String /* "anyfunc" */
var initial: Number
var maximum: Number?
get() = definedExternally
set(value) = definedExternally
}
internal external interface WebAssemblyInstantiatedSource {
var instance: Instance
var module: Module
}
internal external fun compile(bytes: ArrayBufferView): Promise<Module>
internal external fun compile(bytes: ArrayBuffer): Promise<Module>
internal external fun compileStreaming(source: Response): Promise<Module>
internal external fun compileStreaming(source: Promise<Response>): Promise<Module>
internal external fun instantiate(
bytes: ArrayBufferView,
importObject: Imports = definedExternally,
): Promise<WebAssemblyInstantiatedSource>
internal external fun instantiate(bytes: ArrayBufferView): Promise<WebAssemblyInstantiatedSource>
internal external fun instantiate(
bytes: ArrayBuffer,
importObject: Imports = definedExternally,
): dynamic /* Promise | Promise */
internal external fun instantiate(bytes: ArrayBuffer): dynamic /* Promise | Promise */
internal external fun instantiate(moduleObject: Module, importObject: Imports = definedExternally): Promise<Instance>
internal external fun instantiate(moduleObject: Module): Promise<Instance>
internal external fun instantiateStreaming(
response: Response,
importObject: Imports = definedExternally,
): Promise<WebAssemblyInstantiatedSource>
internal external fun instantiateStreaming(response: Response): Promise<WebAssemblyInstantiatedSource>
internal external fun instantiateStreaming(
response: PromiseLike<Response>,
importObject: Imports = definedExternally,
): Promise<WebAssemblyInstantiatedSource>
internal external fun instantiateStreaming(response: PromiseLike<Response>): Promise<WebAssemblyInstantiatedSource>
internal external fun validate(bytes: ArrayBufferView): Boolean
internal external fun validate(bytes: ArrayBuffer): Boolean
internal external interface `T$0` {
var name: String
var kind: String
}
internal external interface `T$1` {
var module: String
var name: String
var kind: String
}
internal open external class Module {
constructor(bufferSource: ArrayBuffer)
constructor(bufferSource: Uint8Array)
companion object {
fun customSections(module: Module, sectionName: String): Array<ArrayBuffer>
fun exports(module: Module): Array<`T$0`>
fun imports(module: Module): Array<`T$1`>
}
}
@JsName("Instance")
internal open external class Instance(module: Module, importObject: Any = definedExternally) {
open var exports: Any
}
@JsName("Memory")
internal open external class Memory1(memoryDescriptor: MemoryDescriptor) {
open var buffer: ArrayBuffer
open fun grow(numPages: Number): Number
}
@JsName("Table")
internal open external class Table1(tableDescriptor: TableDescriptor) {
open var length: Number
open fun get(index: Number): Function<*>
open fun grow(numElements: Number): Number
open fun set(index: Number, value: Function<*>)
}
internal external fun compile(bufferSource: Uint8Array): Promise<Module>
internal external interface ResultObject {
var module: Module
var instance: Instance
}
internal external fun instantiate(
bufferSource: Uint8Array,
importObject: Any = definedExternally,
): Promise<ResultObject>
internal external fun instantiate(bufferSource: Uint8Array): Promise<ResultObject>
internal external fun validate(bufferSource: Uint8Array): Boolean

28
kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/webassembly/nonDeclarations.WebAssembly.kt Normal file
View File

@ -0,0 +1,28 @@
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
@file:Suppress(
"INTERFACE_WITH_SUPERCLASS",
"OVERRIDING_FINAL_MEMBER",
"RETURN_TYPE_MISMATCH_ON_OVERRIDE",
"CONFLICTING_OVERLOADS",
"NO_EXPLICIT_VISIBILITY_IN_API_MODE_WARNING",
)
package space.kscience.kmath.internal.webassembly
import space.kscience.kmath.internal.tsstdlib.Record
internal typealias Exports = Record<String, dynamic /* Function<*> | Global | Memory | Table */>
internal typealias ModuleImports = Record<String, dynamic /* Function<*> | Global | Memory | Table | Number */>
internal typealias Imports = Record<String, ModuleImports>
internal typealias CompileError1 = Error
internal typealias LinkError1 = Error
internal typealias RuntimeError1 = Error

160
kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/internal/WasmBuilder.kt Normal file
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@ -0,0 +1,160 @@
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
package space.kscience.kmath.wasm.internal
import space.kscience.kmath.expressions.Expression
import space.kscience.kmath.expressions.MST
import space.kscience.kmath.expressions.MST.*
import space.kscience.kmath.internal.binaryen.*
import space.kscience.kmath.internal.webassembly.Instance
import space.kscience.kmath.misc.StringSymbol
import space.kscience.kmath.operations.*
import space.kscience.kmath.internal.binaryen.Module as BinaryenModule
import space.kscience.kmath.internal.webassembly.Module as WasmModule
private val spreader = eval("(obj, args) => obj(...args)")
@Suppress("UnsafeCastFromDynamic")
internal sealed class WasmBuilder<T>(
val binaryenType: Type,
val algebra: Algebra<T>,
val target: MST,
) where T : Number {
val keys: MutableList<String> = mutableListOf()
lateinit var ctx: BinaryenModule
open fun visitSymbolic(mst: Symbolic): ExpressionRef {
try {
algebra.bindSymbol(mst.value)
} catch (ignored: Throwable) {
null
}?.let { return visitNumeric(Numeric(it)) }
var idx = keys.indexOf(mst.value)
if (idx == -1) {
keys += mst.value
idx = keys.lastIndex
}
return ctx.local.get(idx, binaryenType)
}
abstract fun visitNumeric(mst: Numeric): ExpressionRef
open fun visitUnary(mst: Unary): ExpressionRef =
error("Unary operation ${mst.operation} not defined in $this")
open fun visitBinary(mst: Binary): ExpressionRef =
error("Binary operation ${mst.operation} not defined in $this")
open fun createModule(): BinaryenModule = js("new \$module\$binaryen.Module()")
fun visit(mst: MST): ExpressionRef = when (mst) {
is Symbolic -> visitSymbolic(mst)
is Numeric -> visitNumeric(mst)
is Unary -> when {
algebra is NumericAlgebra && mst.value is Numeric -> visitNumeric(
Numeric(algebra.unaryOperationFunction(mst.operation)(algebra.number((mst.value as Numeric).value))))
else -> visitUnary(mst)
}
is Binary -> when {
algebra is NumericAlgebra && mst.left is Numeric && mst.right is Numeric -> visitNumeric(Numeric(
algebra.binaryOperationFunction(mst.operation)
.invoke(algebra.number((mst.left as Numeric).value), algebra.number((mst.right as Numeric).value))
))
else -> visitBinary(mst)
}
}
val instance by lazy {
val c = WasmModule(with(createModule()) {
ctx = this
val expr = visit(target)
addFunction(
"executable",
createType(Array(keys.size) { binaryenType }),
binaryenType,
arrayOf(),
expr
)
setOptimizeLevel(3)
optimizeFunction("executable")
addFunctionExport("executable", "executable")
val res = emitBinary()
dispose()
res
})
val i = Instance(c, js("{}") as Any)
val symbols = keys.map(::StringSymbol)
keys.clear()
Expression<T> { args ->
val params = symbols.map(args::getValue).toTypedArray()
spreader(i.exports.asDynamic().executable, params) as T
}
}
}
internal class DoubleWasmBuilder(target: MST) : WasmBuilder<Double>(f64, DoubleField, target) {
override fun createModule(): BinaryenModule = readBinary(f64StandardFunctions)
override fun visitNumeric(mst: Numeric): ExpressionRef = ctx.f64.const(mst.value)
override fun visitUnary(mst: Unary): ExpressionRef = when (mst.operation) {
GroupOperations.MINUS_OPERATION -> ctx.f64.neg(visit(mst.value))
GroupOperations.PLUS_OPERATION -> visit(mst.value)
PowerOperations.SQRT_OPERATION -> ctx.f64.sqrt(visit(mst.value))
TrigonometricOperations.SIN_OPERATION -> ctx.call("sin", arrayOf(visit(mst.value)), f64)
TrigonometricOperations.COS_OPERATION -> ctx.call("cos", arrayOf(visit(mst.value)), f64)
TrigonometricOperations.TAN_OPERATION -> ctx.call("tan", arrayOf(visit(mst.value)), f64)
TrigonometricOperations.ASIN_OPERATION -> ctx.call("asin", arrayOf(visit(mst.value)), f64)
TrigonometricOperations.ACOS_OPERATION -> ctx.call("acos", arrayOf(visit(mst.value)), f64)
TrigonometricOperations.ATAN_OPERATION -> ctx.call("atan", arrayOf(visit(mst.value)), f64)
ExponentialOperations.SINH_OPERATION -> ctx.call("sinh", arrayOf(visit(mst.value)), f64)
ExponentialOperations.COSH_OPERATION -> ctx.call("cosh", arrayOf(visit(mst.value)), f64)
ExponentialOperations.TANH_OPERATION -> ctx.call("tanh", arrayOf(visit(mst.value)), f64)
ExponentialOperations.ASINH_OPERATION -> ctx.call("asinh", arrayOf(visit(mst.value)), f64)
ExponentialOperations.ACOSH_OPERATION -> ctx.call("acosh", arrayOf(visit(mst.value)), f64)
ExponentialOperations.ATANH_OPERATION -> ctx.call("atanh", arrayOf(visit(mst.value)), f64)
ExponentialOperations.EXP_OPERATION -> ctx.call("exp", arrayOf(visit(mst.value)), f64)
ExponentialOperations.LN_OPERATION -> ctx.call("log", arrayOf(visit(mst.value)), f64)
else -> super.visitUnary(mst)
}
override fun visitBinary(mst: Binary): ExpressionRef = when (mst.operation) {
GroupOperations.PLUS_OPERATION -> ctx.f64.add(visit(mst.left), visit(mst.right))
GroupOperations.MINUS_OPERATION -> ctx.f64.sub(visit(mst.left), visit(mst.right))
RingOperations.TIMES_OPERATION -> ctx.f64.mul(visit(mst.left), visit(mst.right))
FieldOperations.DIV_OPERATION -> ctx.f64.div(visit(mst.left), visit(mst.right))
PowerOperations.POW_OPERATION -> ctx.call("pow", arrayOf(visit(mst.left), visit(mst.right)), f64)
else -> super.visitBinary(mst)
}
}
internal class IntWasmBuilder(target: MST) : WasmBuilder<Int>(i32, IntRing, target) {
override fun visitNumeric(mst: Numeric): ExpressionRef = ctx.i32.const(mst.value)
override fun visitUnary(mst: Unary): ExpressionRef = when (mst.operation) {
GroupOperations.MINUS_OPERATION -> ctx.i32.sub(ctx.i32.const(0), visit(mst.value))
GroupOperations.PLUS_OPERATION -> visit(mst.value)
else -> super.visitUnary(mst)
}
override fun visitBinary(mst: Binary): ExpressionRef = when (mst.operation) {
GroupOperations.PLUS_OPERATION -> ctx.i32.add(visit(mst.left), visit(mst.right))
GroupOperations.MINUS_OPERATION -> ctx.i32.sub(visit(mst.left), visit(mst.right))
RingOperations.TIMES_OPERATION -> ctx.i32.mul(visit(mst.left), visit(mst.right))
else -> super.visitBinary(mst)
}
}

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91
kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/wasm.kt Normal file
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/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
package space.kscience.kmath.wasm
import space.kscience.kmath.estree.compileWith
import space.kscience.kmath.expressions.Expression
import space.kscience.kmath.expressions.MST
import space.kscience.kmath.expressions.invoke
import space.kscience.kmath.misc.Symbol
import space.kscience.kmath.misc.UnstableKMathAPI
import space.kscience.kmath.operations.DoubleField
import space.kscience.kmath.operations.IntRing
import space.kscience.kmath.wasm.internal.DoubleWasmBuilder
import space.kscience.kmath.wasm.internal.IntWasmBuilder
/**
* Compiles an [MST] to WASM in the context of reals.
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public fun DoubleField.expression(mst: MST): Expression<Double> =
DoubleWasmBuilder(mst).instance
/**
* Compiles an [MST] to WASM in the context of integers.
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public fun IntRing.expression(mst: MST): Expression<Int> =
IntWasmBuilder(mst).instance
/**
* Create a compiled expression with given [MST] and given [algebra].
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public fun MST.compileToExpression(algebra: IntRing): Expression<Int> = compileWith(algebra)
/**
* Compile given MST to expression and evaluate it against [arguments].
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public fun MST.compile(algebra: IntRing, arguments: Map<Symbol, Int>): Int =
compileToExpression(algebra).invoke(arguments)
/**
* Compile given MST to expression and evaluate it against [arguments].
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public fun MST.compile(algebra: IntRing, vararg arguments: Pair<Symbol, Int>): Int =
compileToExpression(algebra)(*arguments)
/**
* Create a compiled expression with given [MST] and given [algebra].
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public fun MST.compileToExpression(algebra: DoubleField): Expression<Double> = compileWith(algebra)
/**
* Compile given MST to expression and evaluate it against [arguments].
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public fun MST.compile(algebra: DoubleField, arguments: Map<Symbol, Double>): Double =
compileToExpression(algebra).invoke(arguments)
/**
* Compile given MST to expression and evaluate it against [arguments].
*
* @author Iaroslav Postovalov
*/
@UnstableKMathAPI
public fun MST.compile(algebra: DoubleField, vararg arguments: Pair<Symbol, Double>): Double =
compileToExpression(algebra).invoke(*arguments)

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/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
package space.kscience.kmath.ast
import space.kscience.kmath.expressions.*
import space.kscience.kmath.misc.symbol
import space.kscience.kmath.operations.DoubleField
import space.kscience.kmath.operations.ExtendedField
import space.kscience.kmath.operations.bindSymbol
import space.kscience.kmath.operations.invoke
import kotlin.math.sin
import kotlin.random.Random
import kotlin.test.Test
import kotlin.time.measureTime
import space.kscience.kmath.estree.compileToExpression as estreeCompileToExpression
import space.kscience.kmath.wasm.compileToExpression as wasmCompileToExpression
internal class TestExecutionTime {
private companion object {
private const val times = 1_000_000
private val x by symbol
private val algebra: ExtendedField<Double> = DoubleField
private val functional = DoubleField.expressionInExtendedField {
bindSymbol(x) * const(2.0) + const(2.0) / bindSymbol(x) - const(16.0) / sin(bindSymbol(x))
}
private val node = MstExtendedField {
bindSymbol(x) * number(2.0) + number(2.0) / bindSymbol(x) - number(16.0) / sin(bindSymbol(x))
}
private val mst = node.toExpression(DoubleField)
private val wasm = node.wasmCompileToExpression(DoubleField)
private val estree = node.estreeCompileToExpression(DoubleField)
// In JavaScript, the expression below is implemented like
// _no_name_provided__125.prototype.invoke_178 = function (args) {
// var tmp = getValue(args, raw$_get_x__3(this._$x$delegate_2)) * 2.0 + 2.0 / getValue(args, raw$_get_x__3(this._$x$delegate_2));
// var tmp0_sin_0_5 = getValue(args, raw$_get_x__3(this._$x$delegate_2));
// return tmp - 16.0 / Math.sin(tmp0_sin_0_5);
// };
private val raw = Expression<Double> { args ->
args.getValue(x) * 2.0 + 2.0 / args.getValue(x) - 16.0 / sin(args.getValue(x))
}
}
private fun invokeAndSum(name: String, expr: Expression<Double>) {
println(name)
val rng = Random(0)
var sum = 0.0
measureTime { repeat(times) { sum += expr(x to rng.nextDouble()) } }.also(::println)
}
@Test
fun functionalExpression() = invokeAndSum("functional", functional)
@Test
fun mstExpression() = invokeAndSum("mst", mst)
@Test
fun wasmExpression() = invokeAndSum("wasm", wasm)
@Test
fun estreeExpression() = invokeAndSum("estree", wasm)
@Test
fun rawExpression() = invokeAndSum("raw", raw)
}

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/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
package space.kscience.kmath.ast
import space.kscience.kmath.expressions.Expression
import space.kscience.kmath.expressions.MST
import space.kscience.kmath.misc.Symbol
import space.kscience.kmath.operations.DoubleField
import space.kscience.kmath.operations.IntRing
import space.kscience.kmath.estree.compile as estreeCompile
import space.kscience.kmath.estree.compileToExpression as estreeCompileToExpression
import space.kscience.kmath.wasm.compile as wasmCompile
import space.kscience.kmath.wasm.compileToExpression as wasmCompileToExpression
private object WasmCompilerTestContext : CompilerTestContext {
override fun MST.compileToExpression(algebra: IntRing): Expression<Int> = wasmCompileToExpression(algebra)
override fun MST.compile(algebra: IntRing, arguments: Map<Symbol, Int>): Int = wasmCompile(algebra, arguments)
override fun MST.compileToExpression(algebra: DoubleField): Expression<Double> = wasmCompileToExpression(algebra)
override fun MST.compile(algebra: DoubleField, arguments: Map<Symbol, Double>): Double =
wasmCompile(algebra, arguments)
}
private object ESTreeCompilerTestContext : CompilerTestContext {
override fun MST.compileToExpression(algebra: IntRing): Expression<Int> = estreeCompileToExpression(algebra)
override fun MST.compile(algebra: IntRing, arguments: Map<Symbol, Int>): Int = estreeCompile(algebra, arguments)
override fun MST.compileToExpression(algebra: DoubleField): Expression<Double> = estreeCompileToExpression(algebra)
override fun MST.compile(algebra: DoubleField, arguments: Map<Symbol, Double>): Double =
estreeCompile(algebra, arguments)
}
internal actual inline fun runCompilerTest(action: CompilerTestContext.() -> Unit) {
action(WasmCompilerTestContext)
action(ESTreeCompilerTestContext)
}

94
kmath-ast/src/jsTest/kotlin/space/kscience/kmath/estree/TestESTreeConsistencyWithInterpreter.kt
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@ -1,94 +0,0 @@
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
package space.kscience.kmath.estree
import space.kscience.kmath.complex.ComplexField
import space.kscience.kmath.complex.toComplex
import space.kscience.kmath.expressions.*
import space.kscience.kmath.misc.Symbol
import space.kscience.kmath.operations.ByteRing
import space.kscience.kmath.operations.DoubleField
import space.kscience.kmath.operations.invoke
import kotlin.test.Test
import kotlin.test.assertEquals
internal class TestESTreeConsistencyWithInterpreter {
@Test
fun mstSpace() {
val mst = MstGroup {
binaryOperationFunction("+")(
unaryOperationFunction("+")(
number(3.toByte()) - (number(2.toByte()) + (scale(
add(number(1), number(1)),
2.0
) + number(1.toByte()) * 3.toByte() - number(1.toByte())))
),
number(1)
) + bindSymbol("x") + zero
}
assertEquals(
mst.interpret(MstGroup, Symbol.x to MST.Numeric(2)),
mst.compile(MstGroup, Symbol.x to MST.Numeric(2))
)
}
@Test
fun byteRing() {
val mst = MstRing {
binaryOperationFunction("+")(
unaryOperationFunction("+")(
(bindSymbol("x") - (2.toByte() + (scale(
add(number(1), number(1)),
2.0
) + 1.toByte()))) * 3.0 - 1.toByte()
),
number(1)
) * number(2)
}
assertEquals(
mst.interpret(ByteRing, Symbol.x to 3.toByte()),
mst.compile(ByteRing, Symbol.x to 3.toByte())
)
}
@Test
fun realField() {
val mst = MstField {
+(3 - 2 + 2 * number(1) + 1.0) + binaryOperationFunction("+")(
(3.0 - (bindSymbol("x") + (scale(add(number(1.0), number(1.0)), 2.0) + 1.0))) * 3 - 1.0
+ number(1),
number(1) / 2 + number(2.0) * one
) + zero
}
assertEquals(
mst.interpret(DoubleField, Symbol.x to 2.0),
mst.compile(DoubleField, Symbol.x to 2.0)
)
}
@Test
fun complexField() {
val mst = MstField {
+(3 - 2 + 2 * number(1) + 1.0) + binaryOperationFunction("+")(
(3.0 - (bindSymbol("x") + (scale(add(number(1.0), number(1.0)), 2.0) + 1.0))) * 3 - 1.0
+ number(1),
number(1) / 2 + number(2.0) * one
) + zero
}
assertEquals(
mst.interpret(ComplexField, Symbol.x to 2.0.toComplex()),
mst.compile(ComplexField, Symbol.x to 2.0.toComplex())
)
}
}

47
kmath-ast/src/jsTest/kotlin/space/kscience/kmath/estree/TestESTreeOperationsSupport.kt
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@ -1,47 +0,0 @@
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
package space.kscience.kmath.estree
import space.kscience.kmath.expressions.MstExtendedField
import space.kscience.kmath.expressions.invoke
import space.kscience.kmath.operations.DoubleField
import space.kscience.kmath.operations.invoke
import kotlin.random.Random
import kotlin.test.Test
import kotlin.test.assertEquals
internal class TestESTreeOperationsSupport {
@Test
fun testUnaryOperationInvocation() {
val expression = MstExtendedField { -bindSymbol("x") }.compileToExpression(DoubleField)
val res = expression("x" to 2.0)
assertEquals(-2.0, res)
}
@Test
fun testBinaryOperationInvocation() {
val expression = MstExtendedField { -bindSymbol("x") + number(1.0) }.compileToExpression(DoubleField)
val res = expression("x" to 2.0)
assertEquals(-1.0, res)
}
@Test
fun testConstProductInvocation() {
val res = MstExtendedField { bindSymbol("x") * 2 }.compileToExpression(DoubleField)("x" to 2.0)
assertEquals(4.0, res)
}
@Test
fun testMultipleCalls() {
val e =
MstExtendedField { sin(bindSymbol("x")).pow(4) - 6 * bindSymbol("x") / tanh(bindSymbol("x")) }
.compileToExpression(DoubleField)
val r = Random(0)
var s = 0.0
repeat(1000000) { s += e("x" to r.nextDouble()) }
println(s)
}
}

69
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@ -1,69 +0,0 @@
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
package space.kscience.kmath.estree
import space.kscience.kmath.expressions.MstExtendedField
import space.kscience.kmath.expressions.invoke
import space.kscience.kmath.operations.DoubleField
import space.kscience.kmath.operations.invoke
import kotlin.test.Test
import kotlin.test.assertEquals
internal class TestESTreeSpecialization {
@Test
fun testUnaryPlus() {
val expr = MstExtendedField { unaryOperationFunction("+")(bindSymbol("x")) }.compileToExpression(DoubleField)
assertEquals(2.0, expr("x" to 2.0))
}
@Test
fun testUnaryMinus() {
val expr = MstExtendedField { unaryOperationFunction("-")(bindSymbol("x")) }.compileToExpression(DoubleField)
assertEquals(-2.0, expr("x" to 2.0))
}
@Test
fun testAdd() {
val expr = MstExtendedField {
binaryOperationFunction("+")(bindSymbol("x"),
bindSymbol("x"))
}.compileToExpression(DoubleField)
assertEquals(4.0, expr("x" to 2.0))
}
@Test
fun testSine() {
val expr = MstExtendedField { unaryOperationFunction("sin")(bindSymbol("x")) }.compileToExpression(DoubleField)
assertEquals(0.0, expr("x" to 0.0))
}
@Test
fun testMinus() {
val expr = MstExtendedField {
binaryOperationFunction("-")(bindSymbol("x"),
bindSymbol("x"))
}.compileToExpression(DoubleField)
assertEquals(0.0, expr("x" to 2.0))
}
@Test
fun testDivide() {
val expr = MstExtendedField {
binaryOperationFunction("/")(bindSymbol("x"),
bindSymbol("x"))
}.compileToExpression(DoubleField)
assertEquals(1.0, expr("x" to 2.0))
}
@Test
fun testPower() {
val expr = MstExtendedField {
binaryOperationFunction("pow")(bindSymbol("x"), number(2))
}.compileToExpression(DoubleField)
assertEquals(4.0, expr("x" to 2.0))
}
}

28
kmath-ast/src/jsTest/kotlin/space/kscience/kmath/estree/TestESTreeVariables.kt
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@ -1,28 +0,0 @@
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
package space.kscience.kmath.estree
import space.kscience.kmath.expressions.MstRing
import space.kscience.kmath.expressions.invoke
import space.kscience.kmath.operations.ByteRing
import space.kscience.kmath.operations.invoke
import kotlin.test.Test
import kotlin.test.assertEquals
import kotlin.test.assertFailsWith
internal class TestESTreeVariables {
@Test
fun testVariable() {
val expr = MstRing{ bindSymbol("x") }.compileToExpression(ByteRing)
assertEquals(1.toByte(), expr("x" to 1.toByte()))
}
@Test
fun testUndefinedVariableFails() {
val expr = MstRing { bindSymbol("x") }.compileToExpression(ByteRing)
assertFailsWith<NoSuchElementException> { expr() }
}
}

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@ -0,0 +1,53 @@
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
package space.kscience.kmath.wasm
import space.kscience.kmath.expressions.MstExtendedField
import space.kscience.kmath.expressions.MstRing
import space.kscience.kmath.expressions.invoke
import space.kscience.kmath.misc.symbol
import space.kscience.kmath.operations.DoubleField
import space.kscience.kmath.operations.IntRing
import space.kscience.kmath.operations.bindSymbol
import space.kscience.kmath.operations.invoke
import kotlin.test.Test
import kotlin.test.assertEquals
internal class TestWasmSpecific {
@Test
fun int() {
val res = MstRing { number(100000000) + number(10000000) }.compile(IntRing)
assertEquals(110000000, res)
}
@Test
fun real() {
val res = MstExtendedField { number(100000000) + number(2).pow(10) }.compile(DoubleField)
assertEquals(100001024.0, res)
}
@Test
fun argsPassing() {
val res = MstExtendedField { bindSymbol(y) + bindSymbol(x).pow(10) }.compile(
DoubleField,
x to 2.0,
y to 100000000.0,
)
assertEquals(100001024.0, res)
}
@Test
fun powFunction() {
val expr = MstExtendedField { bindSymbol(x).pow(1.0 / 6.0) }.compileToExpression(DoubleField)
assertEquals(0.9730585187140817, expr(x to 0.8488554755054833))
}
private companion object {
private val x by symbol
private val y by symbol
}
}

4
kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/AsmBuilder.kt
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@ -342,8 +342,8 @@ internal class AsmBuilder<T>(
val MAP_INTRINSICS_TYPE: Type by lazy { getObjectType("space/kscience/kmath/asm/internal/MapIntrinsics") }
/**
* ASM Type for [kscience.kmath.expressions.Symbol].
* ASM Type for [space.kscience.kmath.misc.Symbol].
*/
val SYMBOL_TYPE: Type by lazy { getObjectType("space/kscience/kmath/expressions/Symbol") }
val SYMBOL_TYPE: Type by lazy { getObjectType("space/kscience/kmath/misc/Symbol") }
}
}

2
kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/codegenUtils.kt
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@ -52,7 +52,7 @@ internal inline fun MethodVisitor.instructionAdapter(block: InstructionAdapter.(
*
* @author Iaroslav Postovalov
*/
internal fun MethodVisitor.label(): Label = Label().also { visitLabel(it) }
internal fun MethodVisitor.label(): Label = Label().also(::visitLabel)
/**
* Creates a class name for [Expression] subclassed to implement [mst] provided.

9
kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/ast/rendering/multiplatformToString.kt Normal file
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@ -0,0 +1,9 @@
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
package space.kscience.kmath.ast.rendering
internal actual fun Double.multiplatformToString(): String = toString()
internal actual fun Float.multiplatformToString(): String = toString()

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@ -1,94 +0,0 @@
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
package space.kscience.kmath.asm
import space.kscience.kmath.complex.ComplexField
import space.kscience.kmath.complex.toComplex
import space.kscience.kmath.expressions.*
import space.kscience.kmath.misc.Symbol.Companion.x
import space.kscience.kmath.operations.ByteRing
import space.kscience.kmath.operations.DoubleField
import space.kscience.kmath.operations.invoke
import kotlin.test.Test
import kotlin.test.assertEquals
internal class TestAsmConsistencyWithInterpreter {
@Test
fun mstSpace() {
val mst = MstGroup {
binaryOperationFunction("+")(
unaryOperationFunction("+")(
number(3.toByte()) - (number(2.toByte()) + (scale(
add(number(1), number(1)),
2.0
) + number(1.toByte()) * 3.toByte() - number(1.toByte())))
),
number(1)
) + bindSymbol("x") + zero
}
assertEquals(
mst.interpret(MstGroup, x to MST.Numeric(2)),
mst.compile(MstGroup, x to MST.Numeric(2))
)
}
@Test
fun byteRing() {
val mst = MstRing {
binaryOperationFunction("+")(
unaryOperationFunction("+")(
(bindSymbol("x") - (2.toByte() + (scale(
add(number(1), number(1)),
2.0
) + 1.toByte()))) * 3.0 - 1.toByte()
),
number(1)
) * number(2)
}
assertEquals(
mst.interpret(ByteRing, x to 3.toByte()),
mst.compile(ByteRing, x to 3.toByte())
)
}
@Test
fun realField() {
val mst = MstField {
+(3 - 2 + 2 * number(1) + 1.0) + binaryOperationFunction("+")(
(3.0 - (bindSymbol("x") + (scale(add(number(1.0), number(1.0)), 2.0) + 1.0))) * 3 - 1.0
+ number(1),
number(1) / 2 + number(2.0) * one
) + zero
}
assertEquals(
mst.interpret(DoubleField, x to 2.0),
mst.compile(DoubleField, x to 2.0)
)
}
@Test
fun complexField() {
val mst = MstField {
+(3 - 2 + 2 * number(1) + 1.0) + binaryOperationFunction("+")(
(3.0 - (bindSymbol("x") + (scale(add(number(1.0), number(1.0)), 2.0) + 1.0))) * 3 - 1.0
+ number(1),
number(1) / 2 + number(2.0) * one
) + zero
}
assertEquals(
mst.interpret(ComplexField, x to 2.0.toComplex()),
mst.compile(ComplexField, x to 2.0.toComplex())
)
}
}

49
kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/asm/TestAsmOperationsSupport.kt
View File

@ -1,49 +0,0 @@
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
package space.kscience.kmath.asm
import space.kscience.kmath.expressions.MstExtendedField
import space.kscience.kmath.expressions.MstField
import space.kscience.kmath.expressions.MstGroup
import space.kscience.kmath.expressions.invoke
import space.kscience.kmath.operations.DoubleField
import space.kscience.kmath.operations.invoke
import kotlin.random.Random
import kotlin.test.Test
import kotlin.test.assertEquals
internal class TestAsmOperationsSupport {
@Test
fun testUnaryOperationInvocation() {
val expression = MstGroup { -bindSymbol("x") }.compileToExpression(DoubleField)
val res = expression("x" to 2.0)
assertEquals(-2.0, res)
}
@Test
fun testBinaryOperationInvocation() {
val expression = MstGroup { -bindSymbol("x") + number(1.0) }.compileToExpression(DoubleField)
val res = expression("x" to 2.0)
assertEquals(-1.0, res)
}
@Test
fun testConstProductInvocation() {
val res = MstField { bindSymbol("x") * 2 }.compileToExpression(DoubleField)("x" to 2.0)
assertEquals(4.0, res)
}
@Test
fun testMultipleCalls() {
val e =
MstExtendedField { sin(bindSymbol("x")).pow(4) - 6 * bindSymbol("x") / tanh(bindSymbol("x")) }
.compileToExpression(DoubleField)
val r = Random(0)
var s = 0.0
repeat(1000000) { s += e("x" to r.nextDouble()) }
println(s)
}
}

69
kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/asm/TestAsmSpecialization.kt
View File

@ -1,69 +0,0 @@
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
package space.kscience.kmath.asm
import space.kscience.kmath.expressions.MstExtendedField
import space.kscience.kmath.expressions.invoke
import space.kscience.kmath.operations.DoubleField
import space.kscience.kmath.operations.invoke
import kotlin.test.Test
import kotlin.test.assertEquals
internal class TestAsmSpecialization {
@Test
fun testUnaryPlus() {
val expr = MstExtendedField { unaryOperationFunction("+")(bindSymbol("x")) }.compileToExpression(DoubleField)
assertEquals(2.0, expr("x" to 2.0))
}
@Test
fun testUnaryMinus() {
val expr = MstExtendedField { unaryOperationFunction("-")(bindSymbol("x")) }.compileToExpression(DoubleField)
assertEquals(-2.0, expr("x" to 2.0))
}
@Test
fun testAdd() {
val expr = MstExtendedField {
binaryOperationFunction("+")(bindSymbol("x"),
bindSymbol("x"))
}.compileToExpression(DoubleField)
assertEquals(4.0, expr("x" to 2.0))
}
@Test
fun testSine() {
val expr = MstExtendedField { unaryOperationFunction("sin")(bindSymbol("x")) }.compileToExpression(DoubleField)
assertEquals(0.0, expr("x" to 0.0))
}
@Test
fun testMinus() {
val expr = MstExtendedField {
binaryOperationFunction("-")(bindSymbol("x"),
bindSymbol("x"))
}.compileToExpression(DoubleField)
assertEquals(0.0, expr("x" to 2.0))
}
@Test
fun testDivide() {
val expr = MstExtendedField {
binaryOperationFunction("/")(bindSymbol("x"),
bindSymbol("x"))
}.compileToExpression(DoubleField)
assertEquals(1.0, expr("x" to 2.0))
}
@Test
fun testPower() {
val expr = MstExtendedField {
binaryOperationFunction("pow")(bindSymbol("x"), number(2))
}.compileToExpression(DoubleField)
assertEquals(4.0, expr("x" to 2.0))
}
}

28
kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/asm/TestAsmVariables.kt
View File

@ -1,28 +0,0 @@
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
package space.kscience.kmath.asm
import space.kscience.kmath.expressions.MstRing
import space.kscience.kmath.expressions.invoke
import space.kscience.kmath.operations.ByteRing
import space.kscience.kmath.operations.invoke
import kotlin.test.Test
import kotlin.test.assertEquals
import kotlin.test.assertFailsWith
internal class TestAsmVariables {
@Test
fun testVariable() {
val expr = MstRing { bindSymbol("x") }.compileToExpression(ByteRing)
assertEquals(1.toByte(), expr("x" to 1.toByte()))
}
@Test
fun testUndefinedVariableFails() {
val expr = MstRing { bindSymbol("x") }.compileToExpression(ByteRing)
assertFailsWith<NoSuchElementException> { expr() }
}
}

25
kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/ast/utils.kt Normal file
View File

@ -0,0 +1,25 @@
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
package space.kscience.kmath.ast
import space.kscience.kmath.expressions.Expression
import space.kscience.kmath.expressions.MST
import space.kscience.kmath.misc.Symbol
import space.kscience.kmath.operations.DoubleField
import space.kscience.kmath.operations.IntRing
import space.kscience.kmath.asm.compile as asmCompile
import space.kscience.kmath.asm.compileToExpression as asmCompileToExpression
private object AsmCompilerTestContext : CompilerTestContext {
override fun MST.compileToExpression(algebra: IntRing): Expression<Int> = asmCompileToExpression(algebra)
override fun MST.compile(algebra: IntRing, arguments: Map<Symbol, Int>): Int = asmCompile(algebra, arguments)
override fun MST.compileToExpression(algebra: DoubleField): Expression<Double> = asmCompileToExpression(algebra)
override fun MST.compile(algebra: DoubleField, arguments: Map<Symbol, Double>): Double =
asmCompile(algebra, arguments)
}
internal actual inline fun runCompilerTest(action: CompilerTestContext.() -> Unit) = action(AsmCompilerTestContext)

6
kmath-commons/build.gradle.kts
View File

@ -1,12 +1,8 @@
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
plugins {
kotlin("jvm")
id("ru.mipt.npm.gradle.common")
}
description = "Commons math binding for kmath"
dependencies {

2
kmath-commons/src/main/kotlin/space/kscience/kmath/commons/integration/CMIntegrator.kt
View File

@ -28,7 +28,7 @@ public class CMIntegrator(
val integrator = integratorBuilder(integrand)
val maxCalls = integrand.getFeature<IntegrandMaxCalls>()?.maxCalls ?: defaultMaxCalls
val remainingCalls = maxCalls - integrand.calls
val range = integrand.getFeature<IntegrationRange<Double>>()?.range
val range = integrand.getFeature<IntegrationRange>()?.range
?: error("Integration range is not provided")
val res = integrator.integrate(remainingCalls, integrand.function, range.start, range.endInclusive)

2
kmath-commons/src/main/kotlin/space/kscience/kmath/commons/integration/GaussRuleIntegrator.kt
View File

@ -17,7 +17,7 @@ public class GaussRuleIntegrator(
) : UnivariateIntegrator<Double> {
override fun integrate(integrand: UnivariateIntegrand<Double>): UnivariateIntegrand<Double> {
val range = integrand.getFeature<IntegrationRange<Double>>()?.range
val range = integrand.getFeature<IntegrationRange>()?.range
?: error("Integration range is not provided")
val integrator: GaussIntegrator = getIntegrator(range)
//TODO check performance

12
kmath-complex/README.md
View File

@ -8,29 +8,27 @@ Complex and hypercomplex number systems in KMath.
## Artifact:
The Maven coordinates of this project are `space.kscience:kmath-complex:0.3.0-dev-6`.
The Maven coordinates of this project are `space.kscience:kmath-complex:0.3.0-dev-8`.
**Gradle:**
```gradle
repositories {
maven { url 'https://repo.kotlin.link' }
maven { url 'https://dl.bintray.com/hotkeytlt/maven' }
maven { url "https://dl.bintray.com/kotlin/kotlin-eap" } // include for builds based on kotlin-eap
mavenCentral()
}
dependencies {
implementation 'space.kscience:kmath-complex:0.3.0-dev-6'
implementation 'space.kscience:kmath-complex:0.3.0-dev-8'
}
```
**Gradle Kotlin DSL:**
```kotlin
repositories {
maven("https://repo.kotlin.link")
maven("https://dl.bintray.com/kotlin/kotlin-eap") // include for builds based on kotlin-eap
maven("https://dl.bintray.com/hotkeytlt/maven") // required for a
mavenCentral()
}
dependencies {
implementation("space.kscience:kmath-complex:0.3.0-dev-6")
implementation("space.kscience:kmath-complex:0.3.0-dev-8")
}
```

13
kmath-complex/build.gradle.kts
View File

@ -1,10 +1,3 @@
import ru.mipt.npm.gradle.Maturity
/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
plugins {
kotlin("multiplatform")
id("ru.mipt.npm.gradle.common")
@ -12,10 +5,6 @@ plugins {
}
kotlin.sourceSets {
all {
languageSettings.useExperimentalAnnotation("kscience.kmath.misc.UnstableKMathAPI")
}
commonMain {
dependencies {
api(project(":kmath-core"))
@ -25,7 +14,7 @@ kotlin.sourceSets {
readme {
description = "Complex numbers and quaternions."
maturity = Maturity.PROTOTYPE
maturity = ru.mipt.npm.gradle.Maturity.PROTOTYPE
propertyByTemplate("artifact", rootProject.file("docs/templates/ARTIFACT-TEMPLATE.md"))
feature(

9
kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/Complex.kt
View File

@ -9,7 +9,10 @@ import space.kscience.kmath.memory.MemoryReader
import space.kscience.kmath.memory.MemorySpec
import space.kscience.kmath.memory.MemoryWriter
import space.kscience.kmath.misc.UnstableKMathAPI
import space.kscience.kmath.operations.*
import space.kscience.kmath.operations.ExtendedField
import space.kscience.kmath.operations.Norm
import space.kscience.kmath.operations.NumbersAddOperations
import space.kscience.kmath.operations.ScaleOperations
import space.kscience.kmath.structures.Buffer
import space.kscience.kmath.structures.MemoryBuffer
import space.kscience.kmath.structures.MutableBuffer
@ -180,12 +183,10 @@ public object ComplexField : ExtendedField<Complex>, Norm<Complex, Complex>, Num
* @property im The imaginary part.
*/
@OptIn(UnstableKMathAPI::class)
public data class Complex(val re: Double, val im: Double) : FieldElement<Complex, ComplexField> {
public data class Complex(val re: Double, val im: Double) {
public constructor(re: Number, im: Number) : this(re.toDouble(), im.toDouble())
public constructor(re: Number) : this(re.toDouble(), 0.0)
public override val context: ComplexField get() = ComplexField
public override fun toString(): String = "($re + i*$im)"
public companion object : MemorySpec<Complex> {

10
kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/Quaternion.kt
View File

@ -27,8 +27,10 @@ public val Quaternion.conjugate: Quaternion
*/
public val Quaternion.reciprocal: Quaternion
get() {
val n = QuaternionField { norm(this@reciprocal) }
return conjugate / (n * n)
QuaternionField {
val n = norm(this@reciprocal)
return conjugate / (n * n)
}
}
/**
@ -198,7 +200,7 @@ public object QuaternionField : Field<Quaternion>, Norm<Quaternion, Quaternion>,
@OptIn(UnstableKMathAPI::class)
public data class Quaternion(
val w: Double, val x: Double, val y: Double, val z: Double,
) : FieldElement<Quaternion, QuaternionField> {
) {
public constructor(w: Number, x: Number, y: Number, z: Number) : this(
w.toDouble(),
x.toDouble(),
@ -219,8 +221,6 @@ public data class Quaternion(
require(!z.isNaN()) { "x-component of quaternion is not-a-number" }
}
public override val context: QuaternionField get() = QuaternionField
/**
* Returns a string representation of this quaternion.
*/

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