altavir/diff #494

Merged
altavir merged 71 commits from altavir/diff into commandertvis/diff 2022-07-16 09:58:44 +03:00
409 changed files with 8093 additions and 2517 deletions
Showing only changes of commit 8974164ec0 - Show all commits

5
.gitignore vendored
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@ -4,8 +4,6 @@ out/
.idea/
!.idea/copyright/
!.idea/scopes/
.vscode/
@ -18,3 +16,6 @@ out/
# Generated by javac -h and runtime
*.class
*.log
!/.idea/copyright/
!/.idea/scopes/

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@ -0,0 +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>

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@ -0,0 +1,21 @@
<component name="CopyrightManager">
<settings default="kmath">
<module2copyright>
<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>

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@ -0,0 +1,3 @@
<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>

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@ -17,6 +17,8 @@
- `BigInt` operation performance improvement and fixes by @zhelenskiy (#328)
- Integration between `MST` and Symja `IExpr`
- Complex power
- Separate methods for UInt, Int and Number powers. NaN safety.
- Tensorflow prototype
### Changed
- Exponential operations merged with hyperbolic functions
@ -45,6 +47,7 @@
- Buffer algebra does not require size anymore
- Operations -> Ops
- Default Buffer and ND algebras are now Ops and lack neutral elements (0, 1) as well as algebra-level shapes.
- Tensor algebra takes read-only structures as input and inherits AlgebraND
### Deprecated
- Specialized `DoubleBufferAlgebra`

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@ -50,35 +50,6 @@ module definitions below. The module stability could have the following levels:
with [binary-compatibility-validator](https://github.com/Kotlin/binary-compatibility-validator) tool.
* **STABLE**. The API stabilized. Breaking changes are allowed only in major releases.
<!--Current feature list is [here](/docs/features.md)-->
<!--* **Array-like structures** Full support of many-dimensional array-like structures -->
<!--including mixed arithmetic operations and function operations over arrays and numbers (with the added benefit of static type checking).-->
<!--* **Histograms** Fast multi-dimensional histograms.-->
<!--* **Streaming** Streaming operations on mathematical objects and objects buffers.-->
<!--* **Type-safe dimensions** Type-safe dimensions for matrix operations.-->
<!--* **Commons-math wrapper** It is planned to gradually wrap most parts of -->
<!--[Apache commons-math](http://commons.apache.org/proper/commons-math/) library in Kotlin code and maybe rewrite some -->
<!--parts to better suit the Kotlin programming paradigm, however there is no established roadmap for that. Feel free to -->
<!--submit a feature request if you want something to be implemented first.-->
<!-- -->
<!--## Planned features-->
<!--* **Messaging** A mathematical notation to support multi-language and multi-node communication for mathematical tasks.-->
<!--* **Array statistics** -->
<!--* **Integration** Univariate and multivariate integration framework.-->
<!--* **Probability and distributions**-->
<!--* **Fitting** Non-linear curve fitting facilities-->
## Modules
<hr/>
@ -240,6 +211,12 @@ One can still use generic algebras though.
> **Maturity**: DEVELOPMENT
<hr/>
* ### [kmath-multik](kmath-multik)
>
>
> **Maturity**: PROTOTYPE
<hr/>
* ### [kmath-nd4j](kmath-nd4j)
>
>
@ -252,6 +229,12 @@ One can still use generic algebras though.
<hr/>
* ### [kmath-optimization](kmath-optimization)
>
>
> **Maturity**: EXPERIMENTAL
<hr/>
* ### [kmath-stat](kmath-stat)
>
>
@ -264,6 +247,12 @@ One can still use generic algebras though.
> **Maturity**: PROTOTYPE
<hr/>
* ### [kmath-tensorflow](kmath-tensorflow)
>
>
> **Maturity**: PROTOTYPE
<hr/>
* ### [kmath-tensors](kmath-tensors)
>
>
@ -319,8 +308,8 @@ repositories {
}
dependencies {
api("space.kscience:kmath-core:0.3.0-dev-14")
// api("space.kscience:kmath-core-jvm:0.3.0-dev-14") for jvm-specific version
api("space.kscience:kmath-core:0.3.0-dev-17")
// api("space.kscience:kmath-core-jvm:0.3.0-dev-17") for jvm-specific version
}
```

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@ -13,19 +13,22 @@ 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()
js(IR) {
nodejs()
}
sourceSets {
all {
languageSettings {
progressiveMode = true
}
}
val commonMain by getting {
dependencies {
implementation(project(":kmath-ast"))
@ -35,9 +38,8 @@ kotlin {
implementation(project(":kmath-stat"))
implementation(project(":kmath-dimensions"))
implementation(project(":kmath-for-real"))
implementation(project(":kmath-jafama"))
implementation(project(":kmath-tensors"))
implementation("org.jetbrains.kotlinx:kotlinx-benchmark-runtime:0.3.1")
implementation("org.jetbrains.kotlinx:kotlinx-benchmark-runtime:0.4.2")
}
}
@ -48,7 +50,8 @@ kotlin {
implementation(project(":kmath-nd4j"))
implementation(project(":kmath-kotlingrad"))
implementation(project(":kmath-viktor"))
implementation(projects.kmathMultik)
implementation(project(":kmath-jafama"))
implementation(project(":kmath-multik"))
implementation("org.nd4j:nd4j-native:1.0.0-M1")
// uncomment if your system supports AVX2
// val os = System.getProperty("os.name")
@ -69,12 +72,13 @@ benchmark {
// Setup configurations
targets {
register("jvm")
register("js")
}
fun kotlinx.benchmark.gradle.BenchmarkConfiguration.commonConfiguration() {
warmups = 1
warmups = 2
iterations = 5
iterationTime = 1000
iterationTime = 2000
iterationTimeUnit = "ms"
}
@ -94,7 +98,12 @@ benchmark {
}
configurations.register("expressions") {
commonConfiguration()
// Some extra precision
warmups = 2
iterations = 10
iterationTime = 10
iterationTimeUnit = "s"
outputTimeUnit = "s"
include("ExpressionsInterpretersBenchmark")
}
@ -131,23 +140,21 @@ afterEvaluate {
}
}
kotlin.sourceSets.all {
with(languageSettings) {
useExperimentalAnnotation("kotlin.contracts.ExperimentalContracts")
useExperimentalAnnotation("kotlin.ExperimentalUnsignedTypes")
useExperimentalAnnotation("space.kscience.kmath.misc.UnstableKMathAPI")
optIn("kotlin.contracts.ExperimentalContracts")
optIn("kotlin.ExperimentalUnsignedTypes")
optIn("space.kscience.kmath.misc.UnstableKMathAPI")
}
}
tasks.withType<org.jetbrains.kotlin.gradle.tasks.KotlinCompile> {
kotlinOptions {
jvmTarget = "11"
freeCompilerArgs = freeCompilerArgs + "-Xjvm-default=all"
freeCompilerArgs = freeCompilerArgs + "-Xjvm-default=all" + "-Xlambdas=indy"
}
}
readme {
maturity = ru.mipt.npm.gradle.Maturity.EXPERIMENTAL
}

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@ -0,0 +1,105 @@
/*
* 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.expressions.*
import space.kscience.kmath.operations.Algebra
import space.kscience.kmath.operations.DoubleField
import space.kscience.kmath.operations.bindSymbol
import space.kscience.kmath.operations.invoke
import kotlin.math.sin
import kotlin.random.Random
import space.kscience.kmath.estree.compileToExpression as estreeCompileToExpression
import space.kscience.kmath.wasm.compileToExpression as wasmCompileToExpression
@State(Scope.Benchmark)
class ExpressionsInterpretersBenchmark {
/**
* Benchmark case for [Expression] created with [expressionInExtendedField].
*/
@Benchmark
fun functionalExpression(blackhole: Blackhole) = invokeAndSum(functional, blackhole)
/**
* Benchmark case for [Expression] created with [toExpression].
*/
@Benchmark
fun mstExpression(blackhole: Blackhole) = invokeAndSum(mst, blackhole)
/**
* Benchmark case for [Expression] created with [compileToExpression].
*/
@Benchmark
fun wasmExpression(blackhole: Blackhole) = invokeAndSum(wasm, blackhole)
/**
* Benchmark case for [Expression] created with [compileToExpression].
*/
@Benchmark
fun estreeExpression(blackhole: Blackhole) = invokeAndSum(estree, blackhole)
/**
* Benchmark case for [Expression] implemented manually with `kotlin.math` functions.
*/
@Benchmark
fun rawExpression(blackhole: Blackhole) = invokeAndSum(raw, blackhole)
/**
* Benchmark case for direct computation w/o [Expression].
*/
@Benchmark
fun justCalculate(blackhole: Blackhole) {
val random = Random(0)
var sum = 0.0
repeat(times) {
val x = random.nextDouble()
sum += x * 2.0 + 2.0 / x - 16.0 / sin(x)
}
blackhole.consume(sum)
}
private fun invokeAndSum(expr: Expression<Double>, blackhole: Blackhole) {
val random = Random(0)
var sum = 0.0
val m = HashMap<Symbol, Double>()
repeat(times) {
m[x] = random.nextDouble()
sum += expr(m)
}
blackhole.consume(sum)
}
private companion object {
private val x by symbol
private const val times = 1_000_000
private val functional = DoubleField.expression {
val x = bindSymbol(Symbol.x)
x * number(2.0) + 2.0 / x - 16.0 / sin(x)
}
private val node = MstExtendedField {
x * 2.0 + number(2.0) / x - number(16.0) / sin(x)
}
private val mst = node.toExpression(DoubleField)
private val wasm = node.wasmCompileToExpression(DoubleField)
private val estree = node.estreeCompileToExpression(DoubleField)
private val raw = Expression<Double> { args ->
val x = args[x]!!
x * 2.0 + 2.0 / x - 16.0 / sin(x)
}
}
}

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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
@ -13,6 +13,7 @@ import space.kscience.kmath.commons.linear.CMLinearSpace
import space.kscience.kmath.ejml.EjmlLinearSpaceDDRM
import space.kscience.kmath.linear.invoke
import space.kscience.kmath.linear.linearSpace
import space.kscience.kmath.multik.multikAlgebra
import space.kscience.kmath.operations.DoubleField
import space.kscience.kmath.structures.Buffer
import kotlin.random.Random
@ -58,6 +59,16 @@ internal class DotBenchmark {
blackhole.consume(matrix1 dot matrix2)
}
// @Benchmark
// fun tensorDot(blackhole: Blackhole) = with(Double.tensorAlgebra) {
// blackhole.consume(matrix1 dot matrix2)
// }
@Benchmark
fun multikDot(blackhole: Blackhole) = with(Double.multikAlgebra) {
blackhole.consume(matrix1 dot matrix2)
}
@Benchmark
fun bufferedDot(blackhole: Blackhole) = with(DoubleField.linearSpace(Buffer.Companion::auto)) {
blackhole.consume(matrix1 dot matrix2)

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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
@ -11,6 +11,7 @@ import kotlinx.benchmark.Scope
import kotlinx.benchmark.State
import space.kscience.kmath.asm.compileToExpression
import space.kscience.kmath.expressions.*
import space.kscience.kmath.operations.Algebra
import space.kscience.kmath.operations.DoubleField
import space.kscience.kmath.operations.bindSymbol
import space.kscience.kmath.operations.invoke
@ -35,7 +36,30 @@ internal class ExpressionsInterpretersBenchmark {
* Benchmark case for [Expression] created with [compileToExpression].
*/
@Benchmark
fun asmExpression(blackhole: Blackhole) = invokeAndSum(asm, blackhole)
fun asmGenericExpression(blackhole: Blackhole) = invokeAndSum(asmGeneric, blackhole)
/**
* Benchmark case for [Expression] created with [compileToExpression].
*/
@Benchmark
fun asmPrimitiveExpressionArray(blackhole: Blackhole) {
val random = Random(0)
var sum = 0.0
val m = DoubleArray(1)
repeat(times) {
m[xIdx] = random.nextDouble()
sum += asmPrimitive(m)
}
blackhole.consume(sum)
}
/**
* Benchmark case for [Expression] created with [compileToExpression].
*/
@Benchmark
fun asmPrimitiveExpression(blackhole: Blackhole) = invokeAndSum(asmPrimitive, blackhole)
/**
* Benchmark case for [Expression] implemented manually with `kotlin.math` functions.
@ -62,9 +86,11 @@ internal class ExpressionsInterpretersBenchmark {
private fun invokeAndSum(expr: Expression<Double>, blackhole: Blackhole) {
val random = Random(0)
var sum = 0.0
val m = HashMap<Symbol, Double>()
repeat(times) {
sum += expr(x to random.nextDouble())
m[x] = random.nextDouble()
sum += expr(m)
}
blackhole.consume(sum)
@ -72,7 +98,6 @@ internal class ExpressionsInterpretersBenchmark {
private companion object {
private val x by symbol
private val algebra = DoubleField
private const val times = 1_000_000
private val functional = DoubleField.expression {
@ -85,7 +110,11 @@ internal class ExpressionsInterpretersBenchmark {
}
private val mst = node.toExpression(DoubleField)
private val asm = node.compileToExpression(DoubleField)
private val asmPrimitive = node.compileToExpression(DoubleField)
private val xIdx = asmPrimitive.indexer.indexOf(x)
private val asmGeneric = node.compileToExpression(DoubleField as Algebra<Double>)
private val raw = Expression<Double> { args ->
val x = args[x]!!

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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
@ -13,8 +13,7 @@ import org.jetbrains.kotlinx.multik.api.Multik
import org.jetbrains.kotlinx.multik.api.ones
import org.jetbrains.kotlinx.multik.ndarray.data.DN
import org.jetbrains.kotlinx.multik.ndarray.data.DataType
import space.kscience.kmath.multik.multikND
import space.kscience.kmath.multik.multikTensorAlgebra
import space.kscience.kmath.multik.multikAlgebra
import space.kscience.kmath.nd.BufferedFieldOpsND
import space.kscience.kmath.nd.StructureND
import space.kscience.kmath.nd.ndAlgebra
@ -79,7 +78,7 @@ internal class NDFieldBenchmark {
}
@Benchmark
fun multikInPlaceAdd(blackhole: Blackhole) = with(DoubleField.multikTensorAlgebra) {
fun multikInPlaceAdd(blackhole: Blackhole) = with(DoubleField.multikAlgebra) {
val res = Multik.ones<Double, DN>(shape, DataType.DoubleDataType).wrap()
repeat(n) { res += 1.0 }
blackhole.consume(res)
@ -100,7 +99,7 @@ internal class NDFieldBenchmark {
private val specializedField = DoubleField.ndAlgebra
private val genericField = BufferedFieldOpsND(DoubleField, Buffer.Companion::boxing)
private val nd4jField = DoubleField.nd4j
private val multikField = DoubleField.multikND
private val multikField = DoubleField.multikAlgebra
private val viktorField = DoubleField.viktorAlgebra
}
}

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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

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@ -1,31 +1,22 @@
import java.net.URL
plugins {
id("ru.mipt.npm.gradle.project")
kotlin("jupyter.api") apply false
id("org.jetbrains.kotlinx.kover") version "0.5.0-RC"
}
allprojects {
repositories {
maven("https://clojars.org/repo")
maven("https://jitpack.io")
maven("http://logicrunch.research.it.uu.se/maven") {
isAllowInsecureProtocol = true
}
maven("https://oss.sonatype.org/content/repositories/snapshots")
mavenCentral()
}
group = "space.kscience"
version = "0.3.0-dev-17"
version = "0.3.0-dev-18"
}
subprojects {
if (name.startsWith("kmath")) apply<MavenPublishPlugin>()
afterEvaluate {
plugins.withId("org.jetbrains.dokka"){
tasks.withType<org.jetbrains.dokka.gradle.DokkaTaskPartial> {
dependsOn(tasks["assemble"])
@ -39,7 +30,7 @@ subprojects {
localDirectory.set(kotlinDir)
remoteUrl.set(
URL("https://github.com/mipt-npm/${rootProject.name}/tree/master/${this@subprojects.name}/$kotlinDirPath")
java.net.URL("https://github.com/mipt-npm/kmath/tree/master/${this@subprojects.name}/$kotlinDirPath")
)
}
@ -64,9 +55,9 @@ subprojects {
readme.readmeTemplate = file("docs/templates/README-TEMPLATE.md")
ksciencePublish {
vcs("https://github.com/mipt-npm/kmath")
space(publish = true)
sonatype(publish = true)
github("kmath")
space()
sonatype()
}
apiValidation.nonPublicMarkers.add("space.kscience.kmath.misc.UnstableKMathAPI")

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@ -1,20 +1,30 @@
plugins {
`kotlin-dsl`
kotlin("plugin.serialization") version "1.4.31"
`version-catalog`
alias(npmlibs.plugins.kotlin.plugin.serialization)
}
java.targetCompatibility = JavaVersion.VERSION_11
repositories {
maven("https://repo.kotlin.link")
mavenCentral()
gradlePluginPortal()
}
val toolsVersion: String by extra
val kotlinVersion = npmlibs.versions.kotlin.asProvider().get()
val benchmarksVersion = "0.4.2"
dependencies {
api("org.jetbrains.kotlinx:kotlinx-serialization-json:1.1.0")
api("ru.mipt.npm:gradle-tools:0.10.2")
api("org.jetbrains.kotlinx:kotlinx-benchmark-plugin:0.3.1")
api("ru.mipt.npm:gradle-tools:$toolsVersion")
//plugins form benchmarks
api("org.jetbrains.kotlinx:kotlinx-benchmark-plugin:$benchmarksVersion")
api("org.jetbrains.kotlin:kotlin-allopen:$kotlinVersion")
//to be used inside build-script only
implementation(npmlibs.kotlinx.serialization.json)
}
kotlin.sourceSets.all {
languageSettings.useExperimentalAnnotation("kotlin.ExperimentalStdlibApi")
languageSettings.optIn("kotlin.OptIn")
}

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@ -0,0 +1,14 @@
#
# 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.
#
kotlin.code.style=official
kotlin.mpp.stability.nowarn=true
kotlin.jupyter.add.scanner=false
org.gradle.configureondemand=true
org.gradle.parallel=true
toolsVersion=0.10.9-kotlin-1.6.10

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@ -0,0 +1,24 @@
/*
* 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.
*/
enableFeaturePreview("TYPESAFE_PROJECT_ACCESSORS")
enableFeaturePreview("VERSION_CATALOGS")
dependencyResolutionManagement {
val toolsVersion: String by extra
repositories {
maven("https://repo.kotlin.link")
mavenCentral()
}
versionCatalogs {
create("npmlibs") {
from("ru.mipt.npm:version-catalog:$toolsVersion")
}
}
}

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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

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@ -1,17 +1,20 @@
/*
* 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 file.
* 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.gradle.BenchmarksExtension
import kotlinx.serialization.*
import kotlinx.serialization.json.*
import kotlinx.serialization.decodeFromString
import kotlinx.serialization.json.Json
import org.gradle.api.Project
import ru.mipt.npm.gradle.KScienceReadmeExtension
import java.time.*
import java.time.format.*
import java.time.LocalDateTime
import java.time.ZoneId
import java.time.format.DateTimeFormatter
import java.time.format.DateTimeFormatterBuilder
import java.time.format.SignStyle
import java.time.temporal.ChronoField.*
private val ISO_DATE_TIME: DateTimeFormatter = DateTimeFormatterBuilder().run {
@ -47,14 +50,14 @@ fun Project.addBenchmarkProperties() {
rootProject.subprojects.forEach { p ->
p.extensions.findByType(KScienceReadmeExtension::class.java)?.run {
benchmarksProject.extensions.findByType(BenchmarksExtension::class.java)?.configurations?.forEach { cfg ->
property("benchmark${cfg.name.replaceFirstChar(Char::uppercase)}") {
property("benchmark${cfg.name.capitalize()}") {
val launches = benchmarksProject.buildDir.resolve("reports/benchmarks/${cfg.name}")
val resDirectory = launches.listFiles()?.maxByOrNull {
LocalDateTime.parse(it.name, ISO_DATE_TIME).atZone(ZoneId.systemDefault()).toInstant()
}
if (resDirectory == null) {
if (resDirectory == null || !(resDirectory.resolve("jvm.json")).exists()) {
"> **Can't find appropriate benchmark data. Try generating readme files after running benchmarks**."
} else {
val reports =

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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("KDocUnresolvedReference")

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@ -1,7 +1,7 @@
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<!--
- 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 file.
- Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
-->
<svg

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@ -1,7 +1,7 @@
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<!--
- 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 file.
- Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
-->
<svg

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@ -1,7 +1,7 @@
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<!--
- 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 file.
- Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
-->
<svg

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@ -1,7 +1,7 @@
<?xml version="1.0" encoding="UTF-8" standalone="no"?>
<!--
- 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 file.
- Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
-->
<svg

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@ -50,35 +50,6 @@ module definitions below. The module stability could have the following levels:
with [binary-compatibility-validator](https://github.com/Kotlin/binary-compatibility-validator) tool.
* **STABLE**. The API stabilized. Breaking changes are allowed only in major releases.
<!--Current feature list is [here](/docs/features.md)-->
<!--* **Array-like structures** Full support of many-dimensional array-like structures -->
<!--including mixed arithmetic operations and function operations over arrays and numbers (with the added benefit of static type checking).-->
<!--* **Histograms** Fast multi-dimensional histograms.-->
<!--* **Streaming** Streaming operations on mathematical objects and objects buffers.-->
<!--* **Type-safe dimensions** Type-safe dimensions for matrix operations.-->
<!--* **Commons-math wrapper** It is planned to gradually wrap most parts of -->
<!--[Apache commons-math](http://commons.apache.org/proper/commons-math/) library in Kotlin code and maybe rewrite some -->
<!--parts to better suit the Kotlin programming paradigm, however there is no established roadmap for that. Feel free to -->
<!--submit a feature request if you want something to be implemented first.-->
<!-- -->
<!--## Planned features-->
<!--* **Messaging** A mathematical notation to support multi-language and multi-node communication for mathematical tasks.-->
<!--* **Array statistics** -->
<!--* **Integration** Univariate and multivariate integration framework.-->
<!--* **Probability and distributions**-->
<!--* **Fitting** Non-linear curve fitting facilities-->
## Modules
$modules

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@ -5,12 +5,7 @@ plugins {
repositories {
mavenCentral()
maven("https://repo.kotlin.link")
maven("https://clojars.org/repo")
maven("https://jitpack.io")
maven("https://maven.pkg.jetbrains.space/kotlin/p/kotlin/kotlin-js-wrappers")
maven("http://logicrunch.research.it.uu.se/maven") {
isAllowInsecureProtocol = true
}
}
dependencies {
@ -32,7 +27,7 @@ dependencies {
//jafama
implementation(project(":kmath-jafama"))
//multik
implementation(projects.kmathMultik)
implementation(project(":kmath-multik"))
implementation("org.nd4j:nd4j-native:1.0.0-beta7")
@ -57,16 +52,16 @@ dependencies {
kotlin.sourceSets.all {
with(languageSettings) {
useExperimentalAnnotation("kotlin.contracts.ExperimentalContracts")
useExperimentalAnnotation("kotlin.ExperimentalUnsignedTypes")
useExperimentalAnnotation("space.kscience.kmath.misc.UnstableKMathAPI")
optIn("kotlin.contracts.ExperimentalContracts")
optIn("kotlin.ExperimentalUnsignedTypes")
optIn("space.kscience.kmath.misc.UnstableKMathAPI")
}
}
tasks.withType<org.jetbrains.kotlin.gradle.tasks.KotlinCompile> {
kotlinOptions {
jvmTarget = "11"
freeCompilerArgs = freeCompilerArgs + "-Xjvm-default=all" + "-Xopt-in=kotlin.RequiresOptIn"
freeCompilerArgs = freeCompilerArgs + "-Xjvm-default=all" + "-Xopt-in=kotlin.RequiresOptIn" + "-Xlambdas=indy"
}
}

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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

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@ -1,22 +1,26 @@
/*
* 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 file.
* 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.asm.compileToExpression
import space.kscience.kmath.expressions.MstExtendedField
import space.kscience.kmath.expressions.Symbol.Companion.x
import space.kscience.kmath.expressions.interpret
import space.kscience.kmath.operations.DoubleField
import space.kscience.kmath.operations.invoke
fun main() {
val expr = MstField {
x * 2.0 + number(2.0) / x - 16.0
}
val expr = MstExtendedField {
x * 2.0 + number(2.0) / x - number(16.0) + asinh(x) / sin(x)
}.compileToExpression(DoubleField)
val m = DoubleArray(expr.indexer.symbols.size)
val xIdx = expr.indexer.indexOf(x)
repeat(10000000) {
expr.interpret(DoubleField, x to 1.0)
m[xIdx] = 1.0
expr(m)
}
}

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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.fit

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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.jafama

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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.linear

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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.linear

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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.operations

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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.operations

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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.operations
import space.kscience.kmath.commons.linear.CMLinearSpace

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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.stat

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@ -1,13 +1,13 @@
/*
* 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 file.
* 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.stat
import kotlinx.coroutines.runBlocking
import space.kscience.kmath.chains.Chain
import space.kscience.kmath.chains.collectWithState
import space.kscience.kmath.chains.combineWithState
import space.kscience.kmath.distributions.NormalDistribution
private data class AveragingChainState(var num: Int = 0, var value: Double = 0.0)
@ -15,11 +15,11 @@ private data class AveragingChainState(var num: Int = 0, var value: Double = 0.0
/**
* Averaging.
*/
private fun Chain<Double>.mean(): Chain<Double> = collectWithState(AveragingChainState(), { it.copy() }) { chain ->
private fun Chain<Double>.mean(): Chain<Double> = combineWithState(AveragingChainState(), { it.copy() }) { chain ->
val next = chain.next()
num++
value += next
return@collectWithState value / num
return@combineWithState value / num
}

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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("unused")

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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.structures

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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.structures
@ -36,7 +36,7 @@ class StreamDoubleFieldND(override val shape: IntArray) : FieldND<Double, Double
this@StreamDoubleFieldND.shape,
shape
)
this is BufferND && this.indexes == this@StreamDoubleFieldND.strides -> this.buffer as DoubleBuffer
this is BufferND && this.indices == this@StreamDoubleFieldND.strides -> this.buffer as DoubleBuffer
else -> DoubleBuffer(strides.linearSize) { offset -> get(strides.index(offset)) }
}

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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.structures
@ -19,24 +19,24 @@ fun main() {
measureTimeMillis {
var res = 0.0
strides.indices().forEach { res = structure[it] }
strides.asSequence().forEach { res = structure[it] }
} // warmup
val time1 = measureTimeMillis {
var res = 0.0
strides.indices().forEach { res = structure[it] }
strides.asSequence().forEach { res = structure[it] }
}
println("Structure reading finished in $time1 millis")
val time2 = measureTimeMillis {
var res = 0.0
strides.indices().forEach { res = buffer[strides.offset(it)] }
strides.asSequence().forEach { res = buffer[strides.offset(it)] }
}
println("Buffer reading finished in $time2 millis")
val time3 = measureTimeMillis {
var res = 0.0
strides.indices().forEach { res = array[strides.offset(it)] }
strides.asSequence().forEach { res = array[strides.offset(it)] }
}
println("Array reading finished in $time3 millis")
}

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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.structures

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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.structures

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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

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@ -1,18 +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 file.
* 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 org.jetbrains.kotlinx.multik.api.Multik
import org.jetbrains.kotlinx.multik.api.ndarray
import space.kscience.kmath.multik.multikND
import space.kscience.kmath.multik.multikAlgebra
import space.kscience.kmath.nd.one
import space.kscience.kmath.operations.DoubleField
fun main(): Unit = with(DoubleField.multikND) {
fun main(): Unit = with(DoubleField.multikAlgebra) {
val a = Multik.ndarray(intArrayOf(1, 2, 3)).asType<Double>().wrap()
val b = Multik.ndarray(doubleArrayOf(1.0, 2.0, 3.0)).wrap()
one(a.shape) - a + b * 3
one(a.shape) - a + b * 3.0
}

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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
@ -9,7 +9,7 @@ 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 space.kscience.kmath.tensors.core.copyArray
import kotlin.math.sqrt
const val seed = 100500L
@ -111,7 +111,7 @@ 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 ->
yTrue.copyArray().forEachIndexed { index, labelDouble ->
val label = labelDouble.toInt()
onesForAnswers[intArrayOf(index, label)] = 1.0
}
@ -163,7 +163,7 @@ class NeuralNetwork(private val layers: List<Layer>) {
for ((xBatch, yBatch) in iterBatch(xTrain, yTrain)) {
train(xBatch, yBatch)
}
println("Accuracy:${accuracy(yTrain, predict(xTrain).argMax(1, true))}")
println("Accuracy:${accuracy(yTrain, predict(xTrain).argMax(1, true).asDouble())}")
}
}
@ -230,7 +230,7 @@ fun main() = BroadcastDoubleTensorAlgebra {
val prediction = model.predict(xTest)
// process raw prediction via argMax
val predictionLabels = prediction.argMax(1, true)
val predictionLabels = prediction.argMax(1, true).asDouble()
// find out accuracy
val acc = accuracy(yTest, predictionLabels)

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@ -6,11 +6,10 @@
kotlin.code.style=official
kotlin.mpp.stability.nowarn=true
#kotlin.mpp.enableGranularSourceSetsMetadata=true
#kotlin.native.enableDependencyPropagation=false
kotlin.jupyter.add.scanner=false
org.gradle.configureondemand=true
org.gradle.jvmargs=-XX:MaxMetaspaceSize=2G
org.gradle.parallel=true
org.gradle.jvmargs=-XX:MaxMetaspaceSize=1G
toolsVersion=0.11.1-kotlin-1.6.10

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@ -1,5 +1,5 @@
distributionBase=GRADLE_USER_HOME
distributionPath=wrapper/dists
distributionUrl=https\://services.gradle.org/distributions/gradle-7.2-bin.zip
distributionUrl=https\://services.gradle.org/distributions/gradle-7.3.3-bin.zip
zipStoreBase=GRADLE_USER_HOME
zipStorePath=wrapper/dists

269
gradlew vendored
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@ -1,7 +1,7 @@
#!/usr/bin/env sh
#!/bin/sh
#
# Copyright 2015 the original author or authors.
# Copyright © 2015-2021 the original authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
@ -17,67 +17,101 @@
#
##############################################################################
##
## Gradle start up script for UN*X
##
#
# Gradle start up script for POSIX generated by Gradle.
#
# Important for running:
#
# (1) You need a POSIX-compliant shell to run this script. If your /bin/sh is
# noncompliant, but you have some other compliant shell such as ksh or
# bash, then to run this script, type that shell name before the whole
# command line, like:
#
# ksh Gradle
#
# Busybox and similar reduced shells will NOT work, because this script
# requires all of these POSIX shell features:
# * functions;
# * expansions «$var», «${var}», «${var:-default}», «${var+SET}»,
# «${var#prefix}», «${var%suffix}», and «$( cmd )»;
# * compound commands having a testable exit status, especially «case»;
# * various built-in commands including «command», «set», and «ulimit».
#
# Important for patching:
#
# (2) This script targets any POSIX shell, so it avoids extensions provided
# by Bash, Ksh, etc; in particular arrays are avoided.
#
# The "traditional" practice of packing multiple parameters into a
# space-separated string is a well documented source of bugs and security
# problems, so this is (mostly) avoided, by progressively accumulating
# options in "$@", and eventually passing that to Java.
#
# Where the inherited environment variables (DEFAULT_JVM_OPTS, JAVA_OPTS,
# and GRADLE_OPTS) rely on word-splitting, this is performed explicitly;
# see the in-line comments for details.
#
# There are tweaks for specific operating systems such as AIX, CygWin,
# Darwin, MinGW, and NonStop.
#
# (3) This script is generated from the Groovy template
# https://github.com/gradle/gradle/blob/master/subprojects/plugins/src/main/resources/org/gradle/api/internal/plugins/unixStartScript.txt
# within the Gradle project.
#
# You can find Gradle at https://github.com/gradle/gradle/.
#
##############################################################################
# Attempt to set APP_HOME
# Resolve links: $0 may be a link
PRG="$0"
# Need this for relative symlinks.
while [ -h "$PRG" ] ; do
ls=`ls -ld "$PRG"`
link=`expr "$ls" : '.*-> \(.*\)$'`
if expr "$link" : '/.*' > /dev/null; then
PRG="$link"
else
PRG=`dirname "$PRG"`"/$link"
fi
app_path=$0
# Need this for daisy-chained symlinks.
while
APP_HOME=${app_path%"${app_path##*/}"} # leaves a trailing /; empty if no leading path
[ -h "$app_path" ]
do
ls=$( ls -ld "$app_path" )
link=${ls#*' -> '}
case $link in #(
/*) app_path=$link ;; #(
*) app_path=$APP_HOME$link ;;
esac
done
SAVED="`pwd`"
cd "`dirname \"$PRG\"`/" >/dev/null
APP_HOME="`pwd -P`"
cd "$SAVED" >/dev/null
APP_HOME=$( cd "${APP_HOME:-./}" && pwd -P ) || exit
APP_NAME="Gradle"
APP_BASE_NAME=`basename "$0"`
APP_BASE_NAME=${0##*/}
# Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.
DEFAULT_JVM_OPTS='"-Xmx64m" "-Xms64m"'
# Use the maximum available, or set MAX_FD != -1 to use that value.
MAX_FD="maximum"
MAX_FD=maximum
warn () {
echo "$*"
}
} >&2
die () {
echo
echo "$*"
echo
exit 1
}
} >&2
# OS specific support (must be 'true' or 'false').
cygwin=false
msys=false
darwin=false
nonstop=false
case "`uname`" in
CYGWIN* )
cygwin=true
;;
Darwin* )
darwin=true
;;
MSYS* | MINGW* )
msys=true
;;
NONSTOP* )
nonstop=true
;;
case "$( uname )" in #(
CYGWIN* ) cygwin=true ;; #(
Darwin* ) darwin=true ;; #(
MSYS* | MINGW* ) msys=true ;; #(
NONSTOP* ) nonstop=true ;;
esac
CLASSPATH=$APP_HOME/gradle/wrapper/gradle-wrapper.jar
@ -87,9 +121,9 @@ CLASSPATH=$APP_HOME/gradle/wrapper/gradle-wrapper.jar
if [ -n "$JAVA_HOME" ] ; then
if [ -x "$JAVA_HOME/jre/sh/java" ] ; then
# IBM's JDK on AIX uses strange locations for the executables
JAVACMD="$JAVA_HOME/jre/sh/java"
JAVACMD=$JAVA_HOME/jre/sh/java
else
JAVACMD="$JAVA_HOME/bin/java"
JAVACMD=$JAVA_HOME/bin/java
fi
if [ ! -x "$JAVACMD" ] ; then
die "ERROR: JAVA_HOME is set to an invalid directory: $JAVA_HOME
@ -98,7 +132,7 @@ Please set the JAVA_HOME variable in your environment to match the
location of your Java installation."
fi
else
JAVACMD="java"
JAVACMD=java
which java >/dev/null 2>&1 || die "ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH.
Please set the JAVA_HOME variable in your environment to match the
@ -106,80 +140,95 @@ location of your Java installation."
fi
# Increase the maximum file descriptors if we can.
if [ "$cygwin" = "false" -a "$darwin" = "false" -a "$nonstop" = "false" ] ; then
MAX_FD_LIMIT=`ulimit -H -n`
if [ $? -eq 0 ] ; then
if [ "$MAX_FD" = "maximum" -o "$MAX_FD" = "max" ] ; then
MAX_FD="$MAX_FD_LIMIT"
fi
ulimit -n $MAX_FD
if [ $? -ne 0 ] ; then
warn "Could not set maximum file descriptor limit: $MAX_FD"
fi
else
warn "Could not query maximum file descriptor limit: $MAX_FD_LIMIT"
fi
fi
# For Darwin, add options to specify how the application appears in the dock
if $darwin; then
GRADLE_OPTS="$GRADLE_OPTS \"-Xdock:name=$APP_NAME\" \"-Xdock:icon=$APP_HOME/media/gradle.icns\""
fi
# For Cygwin or MSYS, switch paths to Windows format before running java
if [ "$cygwin" = "true" -o "$msys" = "true" ] ; then
APP_HOME=`cygpath --path --mixed "$APP_HOME"`
CLASSPATH=`cygpath --path --mixed "$CLASSPATH"`
JAVACMD=`cygpath --unix "$JAVACMD"`
# We build the pattern for arguments to be converted via cygpath
ROOTDIRSRAW=`find -L / -maxdepth 1 -mindepth 1 -type d 2>/dev/null`
SEP=""
for dir in $ROOTDIRSRAW ; do
ROOTDIRS="$ROOTDIRS$SEP$dir"
SEP="|"
done
OURCYGPATTERN="(^($ROOTDIRS))"
# Add a user-defined pattern to the cygpath arguments
if [ "$GRADLE_CYGPATTERN" != "" ] ; then
OURCYGPATTERN="$OURCYGPATTERN|($GRADLE_CYGPATTERN)"
fi
# Now convert the arguments - kludge to limit ourselves to /bin/sh
i=0
for arg in "$@" ; do
CHECK=`echo "$arg"|egrep -c "$OURCYGPATTERN" -`
CHECK2=`echo "$arg"|egrep -c "^-"` ### Determine if an option
if [ $CHECK -ne 0 ] && [ $CHECK2 -eq 0 ] ; then ### Added a condition
eval `echo args$i`=`cygpath --path --ignore --mixed "$arg"`
else
eval `echo args$i`="\"$arg\""
fi
i=`expr $i + 1`
done
case $i in
0) set -- ;;
1) set -- "$args0" ;;
2) set -- "$args0" "$args1" ;;
3) set -- "$args0" "$args1" "$args2" ;;
4) set -- "$args0" "$args1" "$args2" "$args3" ;;
5) set -- "$args0" "$args1" "$args2" "$args3" "$args4" ;;
6) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" ;;
7) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" ;;
8) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" "$args7" ;;
9) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" "$args7" "$args8" ;;
if ! "$cygwin" && ! "$darwin" && ! "$nonstop" ; then
case $MAX_FD in #(
max*)
MAX_FD=$( ulimit -H -n ) ||
warn "Could not query maximum file descriptor limit"
esac
case $MAX_FD in #(
'' | soft) :;; #(
*)
ulimit -n "$MAX_FD" ||
warn "Could not set maximum file descriptor limit to $MAX_FD"
esac
fi
# Escape application args
save () {
for i do printf %s\\n "$i" | sed "s/'/'\\\\''/g;1s/^/'/;\$s/\$/' \\\\/" ; done
echo " "
}
APP_ARGS=`save "$@"`
# Collect all arguments for the java command, stacking in reverse order:
# * args from the command line
# * the main class name
# * -classpath
# * -D...appname settings
# * --module-path (only if needed)
# * DEFAULT_JVM_OPTS, JAVA_OPTS, and GRADLE_OPTS environment variables.
# Collect all arguments for the java command, following the shell quoting and substitution rules
eval set -- $DEFAULT_JVM_OPTS $JAVA_OPTS $GRADLE_OPTS "\"-Dorg.gradle.appname=$APP_BASE_NAME\"" -classpath "\"$CLASSPATH\"" org.gradle.wrapper.GradleWrapperMain "$APP_ARGS"
# For Cygwin or MSYS, switch paths to Windows format before running java
if "$cygwin" || "$msys" ; then
APP_HOME=$( cygpath --path --mixed "$APP_HOME" )
CLASSPATH=$( cygpath --path --mixed "$CLASSPATH" )
JAVACMD=$( cygpath --unix "$JAVACMD" )
# Now convert the arguments - kludge to limit ourselves to /bin/sh
for arg do
if
case $arg in #(
-*) false ;; # don't mess with options #(
/?*) t=${arg#/} t=/${t%%/*} # looks like a POSIX filepath
[ -e "$t" ] ;; #(
*) false ;;
esac
then
arg=$( cygpath --path --ignore --mixed "$arg" )
fi
# Roll the args list around exactly as many times as the number of
# args, so each arg winds up back in the position where it started, but
# possibly modified.
#
# NB: a `for` loop captures its iteration list before it begins, so
# changing the positional parameters here affects neither the number of
# iterations, nor the values presented in `arg`.
shift # remove old arg
set -- "$@" "$arg" # push replacement arg
done
fi
# Collect all arguments for the java command;
# * $DEFAULT_JVM_OPTS, $JAVA_OPTS, and $GRADLE_OPTS can contain fragments of
# shell script including quotes and variable substitutions, so put them in
# double quotes to make sure that they get re-expanded; and
# * put everything else in single quotes, so that it's not re-expanded.
set -- \
"-Dorg.gradle.appname=$APP_BASE_NAME" \
-classpath "$CLASSPATH" \
org.gradle.wrapper.GradleWrapperMain \
"$@"
# Use "xargs" to parse quoted args.
#
# With -n1 it outputs one arg per line, with the quotes and backslashes removed.
#
# In Bash we could simply go:
#
# readarray ARGS < <( xargs -n1 <<<"$var" ) &&
# set -- "${ARGS[@]}" "$@"
#
# but POSIX shell has neither arrays nor command substitution, so instead we
# post-process each arg (as a line of input to sed) to backslash-escape any
# character that might be a shell metacharacter, then use eval to reverse
# that process (while maintaining the separation between arguments), and wrap
# the whole thing up as a single "set" statement.
#
# This will of course break if any of these variables contains a newline or
# an unmatched quote.
#
eval "set -- $(
printf '%s\n' "$DEFAULT_JVM_OPTS $JAVA_OPTS $GRADLE_OPTS" |
xargs -n1 |
sed ' s~[^-[:alnum:]+,./:=@_]~\\&~g; ' |
tr '\n' ' '
)" '"$@"'
exec "$JAVACMD" "$@"

View File

@ -1,6 +1,6 @@
# Module kmath-ast
Performance and visualization extensions to MST API.
Extensions to MST API: transformations, dynamic compilation and visualization.
- [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
@ -10,7 +10,7 @@ Performance and visualization extensions to MST API.
## Artifact:
The Maven coordinates of this project are `space.kscience:kmath-ast:0.3.0-dev-14`.
The Maven coordinates of this project are `space.kscience:kmath-ast:0.3.0-dev-17`.
**Gradle:**
```gradle
@ -20,7 +20,7 @@ repositories {
}
dependencies {
implementation 'space.kscience:kmath-ast:0.3.0-dev-14'
implementation 'space.kscience:kmath-ast:0.3.0-dev-17'
}
```
**Gradle Kotlin DSL:**
@ -31,10 +31,30 @@ repositories {
}
dependencies {
implementation("space.kscience:kmath-ast:0.3.0-dev-14")
implementation("space.kscience:kmath-ast:0.3.0-dev-17")
}
```
## Parsing expressions
In this module there is a parser from human-readable strings like `"x^3-x+3"` (in the more specific [grammar](reference/ArithmeticsEvaluator.g4)) to MST instances.
Supported literals:
1. Constants and variables (consist of latin letters, digits and underscores, can't start with digit): `x`, `_Abc2`.
2. Numbers: `123`, `1.02`, `1e10`, `1e-10`, `1.0e+3`&mdash;all parsed either as `kotlin.Long` or `kotlin.Double`.
Supported binary operators (from the highest precedence to the lowest one):
1. `^`
2. `*`, `/`
3. `+`, `-`
Supported unary operator:
1. `-`, e.&nbsp;g. `-x`
Arbitrary unary and binary functions are also supported: names consist of latin letters, digits and underscores, can't start with digit. Examples:
1. `sin(x)`
2. `add(x, y)`
## Dynamic expression code generation
### On JVM
@ -42,48 +62,41 @@ dependencies {
`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:
For example, the following code:
```kotlin
import space.kscience.kmath.expressions.Symbol.Companion.x
import space.kscience.kmath.expressions.*
import space.kscience.kmath.operations.*
import space.kscience.kmath.asm.*
import space.kscience.kmath.asm.compileToExpression
import space.kscience.kmath.complex.ComplexField
MstField { x + 2 }.compileToExpression(DoubleField)
"x+2".parseMath().compileToExpression(ComplexField)
```
... leads to generation of bytecode, which can be decompiled to the following Java class:
&mldr; 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.complex.Complex;
import space.kscience.kmath.expressions.Expression;
import space.kscience.kmath.expressions.Symbol;
public final class AsmCompiledExpression_45045_0 implements Expression<Double> {
public final class CompiledExpression_45045_0 implements Expression<Complex> {
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);
}
public AsmCompiledExpression_45045_0(Object[] constants) {
this.constants = constants;
public Complex invoke(Map<Symbol, ? extends Complex> arguments) {
Complex var2 = (Complex)MapIntrinsics.getOrFail(arguments, "x");
return (Complex)((Function2)this.constants[0]).invoke(var2, (Complex)this.constants[1]);
}
}
```
#### Known issues
Setting JVM system property `space.kscience.kmath.ast.dump.generated.classes` to `1` makes the translator dump class files to program's working directory, so they can be reviewed manually.
- 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.
#### Limitations
- 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 or GraalVM Native Image because they may not support class loaders.
### On JS
@ -129,7 +142,7 @@ An example of emitted Wasm IR in the form of WAT:
)
```
#### Known issues
#### Limitations
- 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/).

View File

@ -20,7 +20,7 @@ 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") }
.forEach { it.optIn("space.kscience.kmath.misc.UnstableKMathAPI") }
commonMain {
dependencies {
@ -55,6 +55,11 @@ tasks.dokkaHtml {
dependsOn(tasks.build)
}
if (System.getProperty("space.kscience.kmath.ast.dump.generated.classes") == "1")
tasks.jvmTest {
jvmArgs = (jvmArgs ?: emptyList()) + listOf("-Dspace.kscience.kmath.ast.dump.generated.classes=1")
}
readme {
maturity = ru.mipt.npm.gradle.Maturity.EXPERIMENTAL
propertyByTemplate("artifact", rootProject.file("docs/templates/ARTIFACT-TEMPLATE.md"))

View File

@ -1,11 +1,31 @@
# Module kmath-ast
Performance and visualization extensions to MST API.
Extensions to MST API: transformations, dynamic compilation and visualization.
${features}
${artifact}
## Parsing expressions
In this module there is a parser from human-readable strings like `"x^3-x+3"` (in the more specific [grammar](reference/ArithmeticsEvaluator.g4)) to MST instances.
Supported literals:
1. Constants and variables (consist of latin letters, digits and underscores, can't start with digit): `x`, `_Abc2`.
2. Numbers: `123`, `1.02`, `1e10`, `1e-10`, `1.0e+3`&mdash;all parsed either as `kotlin.Long` or `kotlin.Double`.
Supported binary operators (from the highest precedence to the lowest one):
1. `^`
2. `*`, `/`
3. `+`, `-`
Supported unary operator:
1. `-`, e.&nbsp;g. `-x`
Arbitrary unary and binary functions are also supported: names consist of latin letters, digits and underscores, can't start with digit. Examples:
1. `sin(x)`
2. `add(x, y)`
## Dynamic expression code generation
### On JVM
@ -13,48 +33,66 @@ ${artifact}
`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:
For example, the following code:
```kotlin
import space.kscience.kmath.expressions.Symbol.Companion.x
import space.kscience.kmath.expressions.*
import space.kscience.kmath.operations.*
import space.kscience.kmath.asm.*
import space.kscience.kmath.asm.compileToExpression
import space.kscience.kmath.operations.DoubleField
MstField { x + 2 }.compileToExpression(DoubleField)
"x^3-x+3".parseMath().compileToExpression(DoubleField)
```
... leads to generation of bytecode, which can be decompiled to the following Java class:
&mldr; leads to generation of bytecode, which can be decompiled to the following Java class:
```java
package space.kscience.kmath.asm.generated;
import java.util.*;
import kotlin.jvm.functions.*;
import space.kscience.kmath.asm.internal.*;
import space.kscience.kmath.complex.*;
import space.kscience.kmath.expressions.*;
import java.util.Map;
import kotlin.jvm.functions.Function2;
import space.kscience.kmath.asm.internal.MapIntrinsics;
import space.kscience.kmath.expressions.Expression;
import space.kscience.kmath.expressions.Symbol;
public final class AsmCompiledExpression_45045_0 implements Expression<Double> {
public final class CompiledExpression_45045_0 implements Expression<Complex> {
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);
}
public AsmCompiledExpression_45045_0(Object[] constants) {
this.constants = constants;
public Complex invoke(Map<Symbol, ? extends Complex> arguments) {
Complex var2 = (Complex)MapIntrinsics.getOrFail(arguments, "x");
return (Complex)((Function2)this.constants[0]).invoke(var2, (Complex)this.constants[1]);
}
}
```
#### Known issues
For `LongRing`, `IntRing`, and `DoubleField` specialization is supported for better performance:
- 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.
```java
import java.util.*;
import space.kscience.kmath.asm.internal.*;
import space.kscience.kmath.expressions.*;
public final class CompiledExpression_-386104628_0 implements DoubleExpression {
private final SymbolIndexer indexer;
public SymbolIndexer getIndexer() {
return this.indexer;
}
public double invoke(double[] arguments) {
double var2 = arguments[0];
return Math.pow(var2, 3.0D) - var2 + 3.0D;
}
public final Double invoke(Map<Symbol, ? extends Double> arguments) {
double var2 = ((Double)MapIntrinsics.getOrFail(arguments, "x")).doubleValue();
return Math.pow(var2, 3.0D) - var2 + 3.0D;
}
}
```
Setting JVM system property `space.kscience.kmath.ast.dump.generated.classes` to `1` makes the translator dump class files to program's working directory, so they can be reviewed manually.
#### Limitations
- 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 or GraalVM Native Image because they may not support class loaders.
### On JS
@ -100,7 +138,7 @@ An example of emitted Wasm IR in the form of WAT:
)
```
#### Known issues
#### Limitations
- 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/).

View File

@ -0,0 +1,177 @@
/*
* 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.Symbol
import space.kscience.kmath.misc.UnstableKMathAPI
import space.kscience.kmath.operations.Algebra
import space.kscience.kmath.operations.NumericAlgebra
/**
* MST form where all values belong to the type [T]. It is optimal for constant folding, dynamic compilation, etc.
*
* @param T the type.
*/
@UnstableKMathAPI
public sealed interface TypedMst<T> {
/**
* A node containing a unary operation.
*
* @param T the type.
* @property operation The identifier of operation.
* @property function The function implementing this operation.
* @property value The argument of this operation.
*/
public class Unary<T>(public val operation: String, public val function: (T) -> T, public val value: TypedMst<T>) :
TypedMst<T> {
override fun equals(other: Any?): Boolean {
if (this === other) return true
if (other == null || this::class != other::class) return false
other as Unary<*>
if (operation != other.operation) return false
if (value != other.value) return false
return true
}
override fun hashCode(): Int {
var result = operation.hashCode()
result = 31 * result + value.hashCode()
return result
}
override fun toString(): String = "Unary(operation=$operation, value=$value)"
}
/**
* A node containing binary operation.
*
* @param T the type.
* @property operation The identifier of operation.
* @property function The binary function implementing this operation.
* @property left The left operand.
* @property right The right operand.
*/
public class Binary<T>(
public val operation: String,
public val function: Function<T>,
public val left: TypedMst<T>,
public val right: TypedMst<T>,
) : TypedMst<T> {
override fun equals(other: Any?): Boolean {
if (this === other) return true
if (other == null || this::class != other::class) return false
other as Binary<*>
if (operation != other.operation) return false
if (left != other.left) return false
if (right != other.right) return false
return true
}
override fun hashCode(): Int {
var result = operation.hashCode()
result = 31 * result + left.hashCode()
result = 31 * result + right.hashCode()
return result
}
override fun toString(): String = "Binary(operation=$operation, left=$left, right=$right)"
}
/**
* The non-numeric constant value.
*
* @param T the type.
* @property value The held value.
* @property number The number this value corresponds.
*/
public class Constant<T>(public val value: T, public val number: Number?) : TypedMst<T> {
override fun equals(other: Any?): Boolean {
if (this === other) return true
if (other == null || this::class != other::class) return false
other as Constant<*>
if (value != other.value) return false
if (number != other.number) return false
return true
}
override fun hashCode(): Int {
var result = value?.hashCode() ?: 0
result = 31 * result + (number?.hashCode() ?: 0)
return result
}
override fun toString(): String = "Constant(value=$value, number=$number)"
}
/**
* The node containing a variable
*
* @param T the type.
* @property symbol The symbol of the variable.
*/
public class Variable<T>(public val symbol: Symbol) : TypedMst<T> {
override fun equals(other: Any?): Boolean {
if (this === other) return true
if (other == null || this::class != other::class) return false
other as Variable<*>
if (symbol != other.symbol) return false
return true
}
override fun hashCode(): Int = symbol.hashCode()
override fun toString(): String = "Variable(symbol=$symbol)"
}
}
/**
* Interprets the [TypedMst] node with this [Algebra] and [arguments].
*/
@UnstableKMathAPI
public fun <T> TypedMst<T>.interpret(algebra: Algebra<T>, arguments: Map<Symbol, T>): T = when (this) {
is TypedMst.Unary -> algebra.unaryOperation(operation, interpret(algebra, arguments))
is TypedMst.Binary -> when {
algebra is NumericAlgebra && left is TypedMst.Constant && left.number != null ->
algebra.leftSideNumberOperation(operation, left.number, right.interpret(algebra, arguments))
algebra is NumericAlgebra && right is TypedMst.Constant && right.number != null ->
algebra.rightSideNumberOperation(operation, left.interpret(algebra, arguments), right.number)
else -> algebra.binaryOperation(
operation,
left.interpret(algebra, arguments),
right.interpret(algebra, arguments),
)
}
is TypedMst.Constant -> value
is TypedMst.Variable -> arguments.getValue(symbol)
}
/**
* Interprets the [TypedMst] node with this [Algebra] and optional [arguments].
*/
@UnstableKMathAPI
public fun <T> TypedMst<T>.interpret(algebra: Algebra<T>, vararg arguments: Pair<Symbol, T>): T = interpret(
algebra,
when (arguments.size) {
0 -> emptyMap()
1 -> mapOf(arguments[0])
else -> hashMapOf(*arguments)
},
)
/**
* Interpret this [TypedMst] node as expression.
*/
@UnstableKMathAPI
public fun <T : Any> TypedMst<T>.toExpression(algebra: Algebra<T>): Expression<T> = Expression { arguments ->
interpret(algebra, arguments)
}

View File

@ -0,0 +1,93 @@
/*
* 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.MST
import space.kscience.kmath.expressions.Symbol
import space.kscience.kmath.misc.UnstableKMathAPI
import space.kscience.kmath.operations.Algebra
import space.kscience.kmath.operations.NumericAlgebra
import space.kscience.kmath.operations.bindSymbolOrNull
/**
* Evaluates constants in given [MST] for given [algebra] at the same time with converting to [TypedMst].
*/
@UnstableKMathAPI
public fun <T> MST.evaluateConstants(algebra: Algebra<T>): TypedMst<T> = when (this) {
is MST.Numeric -> TypedMst.Constant(
(algebra as? NumericAlgebra<T>)?.number(value) ?: error("Numeric nodes are not supported by $algebra"),
value,
)
is MST.Unary -> when (val arg = value.evaluateConstants(algebra)) {
is TypedMst.Constant<T> -> {
val value = algebra.unaryOperation(
operation,
arg.value,
)
TypedMst.Constant(value, if (value is Number) value else null)
}
else -> TypedMst.Unary(operation, algebra.unaryOperationFunction(operation), arg)
}
is MST.Binary -> {
val left = left.evaluateConstants(algebra)
val right = right.evaluateConstants(algebra)
when {
left is TypedMst.Constant<T> && right is TypedMst.Constant<T> -> {
val value = when {
algebra is NumericAlgebra && left.number != null -> algebra.leftSideNumberOperation(
operation,
left.number,
right.value,
)
algebra is NumericAlgebra && right.number != null -> algebra.rightSideNumberOperation(
operation,
left.value,
right.number,
)
else -> algebra.binaryOperation(
operation,
left.value,
right.value,
)
}
TypedMst.Constant(value, if (value is Number) value else null)
}
algebra is NumericAlgebra && left is TypedMst.Constant && left.number != null -> TypedMst.Binary(
operation,
algebra.leftSideNumberOperationFunction(operation),
left,
right,
)
algebra is NumericAlgebra && right is TypedMst.Constant && right.number != null -> TypedMst.Binary(
operation,
algebra.rightSideNumberOperationFunction(operation),
left,
right,
)
else -> TypedMst.Binary(operation, algebra.binaryOperationFunction(operation), left, right)
}
}
is Symbol -> {
val boundSymbol = algebra.bindSymbolOrNull(this)
if (boundSymbol != null)
TypedMst.Constant(boundSymbol, if (boundSymbol is Number) boundSymbol else null)
else
TypedMst.Variable(this)
}
}

View File

@ -1,6 +1,6 @@
/*
* 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 file.
* 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
@ -22,6 +22,7 @@ import space.kscience.kmath.operations.FieldOps
import space.kscience.kmath.operations.GroupOps
import space.kscience.kmath.operations.PowerOperations
import space.kscience.kmath.operations.RingOps
import kotlin.math.floor
/**
* better-parse implementation of grammar defined in the ArithmeticsEvaluator.g4.
@ -40,9 +41,22 @@ public object ArithmeticsEvaluator : Grammar<MST>() {
private val div: Token by literalToken("/")
private val minus: Token by literalToken("-")
private val plus: Token by literalToken("+")
@Suppress("unused")
private val ws: Token by regexToken("\\s+".toRegex(), ignore = true)
private val number: Parser<MST> by num use { MST.Numeric(text.toDouble()) }
// TODO Rewrite as custom parser to handle numbers with better precision. Currently, numbers like 1e10 are handled while they could be stored as longs without precision loss.
private val number: Parser<MST> by num use {
val d = text.toDoubleOrNull()
MST.Numeric(
if (d == null || d == floor(d) && !d.isInfinite()) {
text.toLongOrNull() ?: text.toDouble()
} else
d
)
}
private val singular: Parser<MST> by id use { Symbol(text) }
private val unaryFunction: Parser<MST> by (id and -lpar and parser(ArithmeticsEvaluator::subSumChain) and -rpar)
@ -91,7 +105,8 @@ public object ArithmeticsEvaluator : Grammar<MST>() {
}
/**
* Tries to parse the string into [MST] using [ArithmeticsEvaluator]. Returns [ParseResult] representing expression or error.
* Tries to parse the string into [MST] using [ArithmeticsEvaluator]. Returns [ParseResult] representing expression or
* error.
*
* @receiver the string to parse.
* @return the [MST] node.

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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
@ -44,6 +44,30 @@ internal class TestCompilerOperations {
assertEquals(1.0, expr(x to 0.0))
}
@Test
fun testTangent() = runCompilerTest {
val expr = MstExtendedField { tan(x) }.compileToExpression(DoubleField)
assertEquals(0.0, expr(x to 0.0))
}
@Test
fun testArcSine() = runCompilerTest {
val expr = MstExtendedField { asin(x) }.compileToExpression(DoubleField)
assertEquals(0.0, expr(x to 0.0))
}
@Test
fun testArcCosine() = runCompilerTest {
val expr = MstExtendedField { acos(x) }.compileToExpression(DoubleField)
assertEquals(0.0, expr(x to 1.0))
}
@Test
fun testAreaHyperbolicSine() = runCompilerTest {
val expr = MstExtendedField { asinh(x) }.compileToExpression(DoubleField)
assertEquals(0.0, expr(x to 0.0))
}
@Test
fun testSubtract() = runCompilerTest {
val expr = MstExtendedField { x - x }.compileToExpression(DoubleField)

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@ -1,13 +1,15 @@
/*
* 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 file.
* 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.Symbol.Companion.x
import space.kscience.kmath.expressions.Symbol.Companion.y
import space.kscience.kmath.expressions.invoke
import space.kscience.kmath.operations.DoubleField
import space.kscience.kmath.operations.IntRing
import space.kscience.kmath.operations.invoke
import kotlin.test.Test
@ -16,11 +18,23 @@ import kotlin.test.assertFailsWith
internal class TestCompilerVariables {
@Test
fun testVariable() = runCompilerTest {
fun testNoVariables() = runCompilerTest {
val expr = "0".parseMath().compileToExpression(DoubleField)
assertEquals(0.0, expr(), 0.0001)
}
@Test
fun testOneVariable() = runCompilerTest {
val expr = MstRing { x }.compileToExpression(IntRing)
assertEquals(1, expr(x to 1))
}
@Test
fun testTwoVariables() = runCompilerTest {
val expr = "y+x/y+x".parseMath().compileToExpression(DoubleField)
assertEquals(8.0, expr(x to 4.0, y to 2.0))
}
@Test
fun testUndefinedVariableFails() = runCompilerTest {
val expr = MstRing { x }.compileToExpression(IntRing)

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@ -0,0 +1,52 @@
/*
* 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.operations.ByteRing
import space.kscience.kmath.operations.DoubleField
import space.kscience.kmath.operations.IntRing
import space.kscience.kmath.operations.pi
import kotlin.test.Test
import kotlin.test.assertEquals
import kotlin.test.fail
internal class TestFolding {
@Test
fun foldUnary() = assertEquals(
-1,
("-(1)".parseMath().evaluateConstants(IntRing) as? TypedMst.Constant<Int> ?: fail()).value,
)
@Test
fun foldDeepUnary() = assertEquals(
1,
("-(-(1))".parseMath().evaluateConstants(IntRing) as? TypedMst.Constant<Int> ?: fail()).value,
)
@Test
fun foldBinary() = assertEquals(
2,
("1*2".parseMath().evaluateConstants(IntRing) as? TypedMst.Constant<Int> ?: fail()).value,
)
@Test
fun foldDeepBinary() = assertEquals(
10,
("1*2*5".parseMath().evaluateConstants(IntRing) as? TypedMst.Constant<Int> ?: fail()).value,
)
@Test
fun foldSymbol() = assertEquals(
DoubleField.pi,
("pi".parseMath().evaluateConstants(DoubleField) as? TypedMst.Constant<Double> ?: fail()).value,
)
@Test
fun foldNumeric() = assertEquals(
42.toByte(),
("42".parseMath().evaluateConstants(ByteRing) as? TypedMst.Constant<Byte> ?: fail()).value,
)
}

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@ -1,13 +1,13 @@
/*
* 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 file.
* 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.complex.Complex
import space.kscience.kmath.complex.ComplexField
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 kotlin.test.Test
@ -17,14 +17,14 @@ internal class TestParser {
@Test
fun evaluateParsedMst() {
val mst = "2+2*(2+2)".parseMath()
val res = ComplexField.evaluate(mst)
val res = mst.interpret(ComplexField)
assertEquals(Complex(10.0, 0.0), res)
}
@Test
fun evaluateMstSymbol() {
val mst = "i".parseMath()
val res = ComplexField.evaluate(mst)
val res = mst.interpret(ComplexField)
assertEquals(ComplexField.i, res)
}
@ -32,7 +32,7 @@ internal class TestParser {
@Test
fun evaluateMstUnary() {
val mst = "sin(0)".parseMath()
val res = DoubleField.evaluate(mst)
val res = mst.interpret(DoubleField)
assertEquals(0.0, res)
}
@ -53,7 +53,7 @@ internal class TestParser {
}
val mst = "magic(a, b)".parseMath()
val res = magicalAlgebra.evaluate(mst)
val res = mst.interpret(magicalAlgebra)
assertEquals("a ★ b", res)
}
}

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@ -1,39 +1,39 @@
/*
* 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 file.
* 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.evaluate
import space.kscience.kmath.expressions.interpret
import space.kscience.kmath.operations.DoubleField
import kotlin.test.Test
import kotlin.test.assertEquals
internal class TestParserPrecedence {
@Test
fun test1(): Unit = assertEquals(6.0, f.evaluate("2*2+2".parseMath()))
fun test1(): Unit = assertEquals(6.0, "2*2+2".parseMath().interpret(f))
@Test
fun test2(): Unit = assertEquals(6.0, f.evaluate("2+2*2".parseMath()))
fun test2(): Unit = assertEquals(6.0, "2+2*2".parseMath().interpret(f))
@Test
fun test3(): Unit = assertEquals(10.0, f.evaluate("2^3+2".parseMath()))
fun test3(): Unit = assertEquals(10.0, "2^3+2".parseMath().interpret(f))
@Test
fun test4(): Unit = assertEquals(10.0, f.evaluate("2+2^3".parseMath()))
fun test4(): Unit = assertEquals(10.0, "2+2^3".parseMath().interpret(f))
@Test
fun test5(): Unit = assertEquals(16.0, f.evaluate("2^3*2".parseMath()))
fun test5(): Unit = assertEquals(16.0, "2^3*2".parseMath().interpret(f))
@Test
fun test6(): Unit = assertEquals(16.0, f.evaluate("2*2^3".parseMath()))
fun test6(): Unit = assertEquals(16.0, "2*2^3".parseMath().interpret(f))
@Test
fun test7(): Unit = assertEquals(18.0, f.evaluate("2+2^3*2".parseMath()))
fun test7(): Unit = assertEquals(18.0, "2+2^3*2".parseMath().interpret(f))
@Test
fun test8(): Unit = assertEquals(18.0, f.evaluate("2*2^3+2".parseMath()))
fun test8(): Unit = assertEquals(18.0, "2*2^3+2".parseMath().interpret(f))
private companion object {
private val f = DoubleField

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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

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@ -1,88 +1,52 @@
/*
* 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 file.
* 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.ast.TypedMst
import space.kscience.kmath.ast.evaluateConstants
import space.kscience.kmath.estree.internal.ESTreeBuilder
import space.kscience.kmath.expressions.Expression
import space.kscience.kmath.expressions.MST
import space.kscience.kmath.expressions.MST.*
import space.kscience.kmath.expressions.Symbol
import space.kscience.kmath.expressions.invoke
import space.kscience.kmath.internal.estree.BaseExpression
import space.kscience.kmath.misc.UnstableKMathAPI
import space.kscience.kmath.operations.Algebra
import space.kscience.kmath.operations.NumericAlgebra
import space.kscience.kmath.operations.bindSymbolOrNull
@PublishedApi
internal fun <T> MST.compileWith(algebra: Algebra<T>): Expression<T> {
fun ESTreeBuilder<T>.visit(node: MST): BaseExpression = when (node) {
is Symbol -> {
val symbol = algebra.bindSymbolOrNull(node)
if (symbol != null)
constant(symbol)
else
variable(node.identity)
}
is Numeric -> constant(node.value)
is Unary -> when {
algebra is NumericAlgebra && node.value is Numeric -> constant(
algebra.unaryOperationFunction(node.operation)(algebra.number((node.value as Numeric).value)))
else -> call(algebra.unaryOperationFunction(node.operation), visit(node.value))
}
is Binary -> when {
algebra is NumericAlgebra && node.left is Numeric && node.right is Numeric -> constant(
algebra.binaryOperationFunction(node.operation).invoke(
algebra.number((node.left as Numeric).value),
algebra.number((node.right as Numeric).value)
)
)
algebra is NumericAlgebra && node.left is Numeric -> call(
algebra.leftSideNumberOperationFunction(node.operation),
visit(node.left),
visit(node.right),
)
algebra is NumericAlgebra && node.right is Numeric -> call(
algebra.rightSideNumberOperationFunction(node.operation),
visit(node.left),
visit(node.right),
)
else -> call(
algebra.binaryOperationFunction(node.operation),
visit(node.left),
visit(node.right),
)
}
}
return ESTreeBuilder<T> { visit(this@compileWith) }.instance
}
/**
* Create a compiled expression with given [MST] and given [algebra].
*/
public fun <T : Any> MST.compileToExpression(algebra: Algebra<T>): Expression<T> = compileWith(algebra)
@OptIn(UnstableKMathAPI::class)
public fun <T : Any> MST.compileToExpression(algebra: Algebra<T>): Expression<T> {
val typed = evaluateConstants(algebra)
if (typed is TypedMst.Constant<T>) return Expression { typed.value }
fun ESTreeBuilder<T>.visit(node: TypedMst<T>): BaseExpression = when (node) {
is TypedMst.Constant -> constant(node.value)
is TypedMst.Variable -> variable(node.symbol)
is TypedMst.Unary -> call(node.function, visit(node.value))
is TypedMst.Binary -> call(
node.function,
visit(node.left),
visit(node.right),
)
}
return ESTreeBuilder<T> { visit(typed) }.instance
}
/**
* Compile given MST to expression and evaluate it against [arguments]
*/
public inline fun <reified T : Any> MST.compile(algebra: Algebra<T>, arguments: Map<Symbol, T>): T =
compileToExpression(algebra).invoke(arguments)
public fun <T : Any> MST.compile(algebra: Algebra<T>, arguments: Map<Symbol, T>): T =
compileToExpression(algebra)(arguments)
/**
* Compile given MST to expression and evaluate it against [arguments]
*/
public inline fun <reified T : Any> MST.compile(algebra: Algebra<T>, vararg arguments: Pair<Symbol, T>): T =
compileToExpression(algebra).invoke(*arguments)
public fun <T : Any> MST.compile(algebra: Algebra<T>, vararg arguments: Pair<Symbol, T>): T =
compileToExpression(algebra)(*arguments)

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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
@ -61,7 +61,7 @@ internal class ESTreeBuilder<T>(val bodyCallback: ESTreeBuilder<T>.() -> BaseExp
}
}
fun variable(name: String): BaseExpression = call(getOrFail, Identifier("arguments"), SimpleLiteral(name))
fun variable(name: Symbol): BaseExpression = call(getOrFail, Identifier("arguments"), SimpleLiteral(name.identity))
fun call(function: Function<T>, vararg args: BaseExpression): BaseExpression = SimpleCallExpression(
optional = false,

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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.astring

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@ -1,6 +1,6 @@
/*
* 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 file.
* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
*/
@file:JsModule("astring")

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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(

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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(

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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")

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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.emitter

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@ -1,6 +1,6 @@
/*
* 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 file.
* 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.estree

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