forked from kscience/kmath
add dokka multimodule
This commit is contained in:
parent
8a453bf0b9
commit
7064546f83
@ -19,6 +19,14 @@ repositories {
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}
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kotlin {
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jvmToolchain(17)
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compilerOptions {
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optIn.addAll(
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"space.kscience.kmath.UnstableKMathAPI"
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)
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}
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jvm()
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js(IR) {
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@ -58,7 +66,7 @@ kotlin {
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implementation(project(":kmath-nd4j"))
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implementation(project(":kmath-kotlingrad"))
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implementation(project(":kmath-viktor"))
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implementation(project(":kmath-jafama"))
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// implementation(project(":kmath-jafama"))
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implementation(projects.kmath.kmathTensorflow)
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implementation("org.tensorflow:tensorflow-core-platform:0.4.0")
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implementation("org.nd4j:nd4j-native:1.0.0-M1")
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@ -152,15 +160,6 @@ benchmark {
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}
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}
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kotlin {
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jvmToolchain(11)
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compilerOptions {
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optIn.addAll(
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"space.kscience.kmath.UnstableKMathAPI"
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)
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}
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}
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private data class JmhReport(
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val jmhVersion: String,
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@ -1,39 +0,0 @@
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/*
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* Copyright 2018-2024 KMath contributors.
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* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
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*/
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package space.kscience.kmath.benchmarks
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import kotlinx.benchmark.Blackhole
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import org.openjdk.jmh.annotations.Benchmark
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import org.openjdk.jmh.annotations.Scope
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import org.openjdk.jmh.annotations.State
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import space.kscience.kmath.jafama.JafamaDoubleField
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import space.kscience.kmath.jafama.StrictJafamaDoubleField
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import space.kscience.kmath.operations.Float64Field
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import space.kscience.kmath.operations.invoke
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import kotlin.random.Random
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@State(Scope.Benchmark)
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internal class JafamaBenchmark {
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@Benchmark
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fun jafama(blackhole: Blackhole) = invokeBenchmarks(blackhole) { x ->
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JafamaDoubleField { x * power(x, 4) * exp(x) / cos(x) + sin(x) }
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}
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@Benchmark
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fun core(blackhole: Blackhole) = invokeBenchmarks(blackhole) { x ->
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Float64Field { x * power(x, 4) * exp(x) / cos(x) + sin(x) }
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}
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@Benchmark
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fun strictJafama(blackhole: Blackhole) = invokeBenchmarks(blackhole) { x ->
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StrictJafamaDoubleField { x * power(x, 4) * exp(x) / cos(x) + sin(x) }
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}
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}
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private inline fun invokeBenchmarks(blackhole: Blackhole, expr: (Double) -> Double) {
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val rng = Random(0)
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repeat(1000000) { blackhole.consume(expr(rng.nextDouble())) }
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}
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@ -19,6 +19,12 @@ allprojects {
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version = "0.4.1-dev"
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}
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dependencies{
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subprojects.forEach {
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dokka(it)
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}
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}
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subprojects {
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if (name.startsWith("kmath")) apply<MavenPublishPlugin>()
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@ -27,8 +27,6 @@ dependencies {
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implementation(project(":kmath-tensors"))
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implementation(project(":kmath-symja"))
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implementation(project(":kmath-for-real"))
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//jafama
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implementation(project(":kmath-jafama"))
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//multik
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implementation(project(":kmath-multik"))
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implementation(libs.multik.default)
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@ -54,7 +52,7 @@ dependencies {
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}
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kotlin {
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jvmToolchain(11)
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jvmToolchain(17)
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sourceSets.all {
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languageSettings {
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optIn("kotlin.contracts.ExperimentalContracts")
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@ -1,15 +0,0 @@
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/*
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* Copyright 2018-2024 KMath contributors.
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* Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
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*/
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package space.kscience.kmath.jafama
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import space.kscience.kmath.operations.invoke
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fun main() {
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val a = 2.0
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val b = StrictJafamaDoubleField { exp(a) }
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println(JafamaDoubleField { b + a })
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println(StrictJafamaDoubleField { ln(b) })
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}
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@ -10,4 +10,5 @@ org.gradle.jvmargs=-Xmx4096m
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org.gradle.parallel=true
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org.gradle.workers.max=4
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toolsVersion=0.15.4-kotlin-2.0.0
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toolsVersion=0.15.6-kotlin-2.1.0-Beta1
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org.jetbrains.dokka.experimental.gradle.pluginMode=V2EnabledWithHelpers
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@ -1,5 +1,5 @@
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plugins {
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id("space.kscience.gradle.jvm")
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id("space.kscience.gradle.mpp")
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}
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kotlin.sourceSets
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@ -9,11 +9,18 @@ kotlin.sourceSets
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description = "Kotlin∇ integration module"
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dependencies {
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kscience{
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jvm()
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jvmMain{
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api("ai.hypergraph:kaliningraph:0.1.9")
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api("ai.hypergraph:kotlingrad:0.4.7")
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api(project(":kmath-core"))
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testImplementation(project(":kmath-ast"))
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}
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jvmTest{
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implementation(project(":kmath-ast"))
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}
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}
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readme {
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@ -1,14 +1,21 @@
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plugins {
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id("space.kscience.gradle.jvm")
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id("space.kscience.gradle.mpp")
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}
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description = "ND4J NDStructure implementation and according NDAlgebra classes"
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dependencies {
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kscience {
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jvm()
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jvmMain {
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api(project(":kmath-tensors"))
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api("org.nd4j:nd4j-api:1.0.0-M1")
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testImplementation("org.nd4j:nd4j-native-platform:1.0.0-M1")
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testImplementation("org.slf4j:slf4j-simple:1.7.32")
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api("org.nd4j:nd4j-api:1.0.0-M2.1")
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}
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jvmTest{
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implementation("org.nd4j:nd4j-native-platform:1.0.0-M1")
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}
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}
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readme {
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@ -18,8 +18,7 @@ public class RandomSourceGenerator internal constructor(
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public val source: RandomSource,
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seed: Long?,
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) : RandomGenerator {
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internal val random: UniformRandomProvider = seed?.let { source.create(seed) }
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?: RandomSource.create(source)
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internal val random: UniformRandomProvider = seed?.let { source.create(seed) } ?: source.create()
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override fun nextBoolean(): Boolean = random.nextBoolean()
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override fun nextDouble(): Double = random.nextDouble()
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@ -4,38 +4,24 @@
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*/
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plugins {
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id("space.kscience.gradle.jvm")
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id("space.kscience.gradle.mpp")
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}
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description = "Symja integration module"
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dependencies {
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api("org.matheclipse:matheclipse-core:2.0.0") {
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// Incorrect transitive dependencies
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exclude("org.apfloat", "apfloat")
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exclude("org.hipparchus", "hipparchus-clustering")
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exclude("org.hipparchus", "hipparchus-core")
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exclude("org.hipparchus", "hipparchus-fft")
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exclude("org.hipparchus", "hipparchus-fitting")
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exclude("org.hipparchus", "hipparchus-ode")
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exclude("org.hipparchus", "hipparchus-optim")
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exclude("org.hipparchus", "hipparchus-stat")
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}
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kscience{
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jvm()
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// Replaces for incorrect transitive dependencies
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api("org.apfloat:apfloat:1.10.0")
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api("org.hipparchus:hipparchus-clustering:1.8")
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api("org.hipparchus:hipparchus-core:1.8")
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api("org.hipparchus:hipparchus-fft:1.8")
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api("org.hipparchus:hipparchus-fitting:1.8")
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api("org.hipparchus:hipparchus-ode:1.8")
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api("org.hipparchus:hipparchus-optim:1.8")
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api("org.hipparchus:hipparchus-stat:1.8")
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jvmMain {
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api("org.matheclipse:matheclipse-core:3.0.0")
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api(project(":kmath-core"))
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testImplementation("org.slf4j:slf4j-simple:1.7.31")
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}
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}
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readme {
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maturity = space.kscience.gradle.Maturity.PROTOTYPE
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}
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plugins {
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id("space.kscience.gradle.jvm")
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id("space.kscience.gradle.mpp")
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}
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description = "Binding for https://github.com/JetBrains-Research/viktor"
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dependencies {
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kscience{
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jvm()
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jvmMain{
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api(project(":kmath-core"))
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api("org.jetbrains.bio:viktor:1.2.0")
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}
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}
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readme {
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@ -61,7 +61,6 @@ include(
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":kmath-tensors",
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":kmath-jupyter",
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":kmath-symja",
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":kmath-jafama",
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":examples",
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":benchmarks",
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)
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@ -14,6 +14,7 @@ kotlin.sourceSets {
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dependencies {
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api(projects.kmath.kmathCore)
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api(kotlin("test"))
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api(spclibs.logback.classic)
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}
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}
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}
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