Migrate to 1.8. Use universal autodiffs

benchmarks/build.gradle.kts

@@ -5,7 +5,7 @@ import space.kscience.kmath.benchmarks.addBenchmarkProperties
 
 plugins {
     kotlin("multiplatform")
-    kotlin("plugin.allopen")
+    alias(spclibs.plugins.kotlin.plugin.allopen)
     id("org.jetbrains.kotlinx.benchmark")
 }
 
@@ -44,7 +44,7 @@ kotlin {
                 implementation(project(":kmath-tensors"))
                 implementation(project(":kmath-multik"))
                 implementation("org.jetbrains.kotlinx:multik-default:$multikVersion")
-                implementation(npmlibs.kotlinx.benchmark.runtime)
+                implementation(spclibs.kotlinx.benchmark.runtime)
             }
         }
 

build.gradle.kts

@@ -15,7 +15,7 @@ allprojects {
     }
 
     group = "space.kscience"
-    version = "0.3.1-dev-7"
+    version = "0.3.1-dev-8"
 }
 
 subprojects {

buildSrc/build.gradle.kts

@@ -1,7 +1,6 @@
 plugins {
     `kotlin-dsl`
     `version-catalog`
-    kotlin("plugin.serialization") version "1.6.21"
 }
 
 java.targetCompatibility = JavaVersion.VERSION_11
@@ -13,18 +12,18 @@ repositories {
     gradlePluginPortal()
 }
 
-val toolsVersion = npmlibs.versions.tools.get()
+val toolsVersion = spclibs.versions.tools.get()
-val kotlinVersion = npmlibs.versions.kotlin.asProvider().get()
+val kotlinVersion = spclibs.versions.kotlin.asProvider().get()
-val benchmarksVersion = npmlibs.versions.kotlinx.benchmark.get()
+val benchmarksVersion = spclibs.versions.kotlinx.benchmark.get()
 
 dependencies {
     api("space.kscience:gradle-tools:$toolsVersion")
-    api(npmlibs.atomicfu.gradle)
     //plugins form benchmarks
     api("org.jetbrains.kotlinx:kotlinx-benchmark-plugin:$benchmarksVersion")
-    api("org.jetbrains.kotlin:kotlin-allopen:$kotlinVersion")
+    //api("org.jetbrains.kotlin:kotlin-allopen:$kotlinVersion")
     //to be used inside build-script only
-    implementation(npmlibs.kotlinx.serialization.json)
+    //implementation(spclibs.kotlinx.serialization.json)
+    implementation("com.fasterxml.jackson.module:jackson-module-kotlin:2.14.+")
 }
 
 kotlin.sourceSets.all {

buildSrc/settings.gradle.kts

@@ -26,7 +26,7 @@ dependencyResolutionManagement {
     }
 
     versionCatalogs {
-        create("npmlibs") {
+        create("spclibs") {
             from("space.kscience:version-catalog:$toolsVersion")
         }
     }

buildSrc/src/main/kotlin/space/kscience/kmath/benchmarks/JmhReport.kt

@@ -5,9 +5,6 @@
 
 package space.kscience.kmath.benchmarks
 
-import kotlinx.serialization.Serializable
-
-@Serializable
 data class JmhReport(
     val jmhVersion: String,
     val benchmark: String,
@@ -37,7 +34,6 @@ data class JmhReport(
         val scoreUnit: String
     }
 
-    @Serializable
     data class PrimaryMetric(
         override val score: Double,
         override val scoreError: Double,
@@ -48,7 +44,6 @@ data class JmhReport(
         val rawData: List<List<Double>>? = null,
     ) : Metric
 
-    @Serializable
     data class SecondaryMetric(
         override val score: Double,
         override val scoreError: Double,

buildSrc/src/main/kotlin/space/kscience/kmath/benchmarks/addBenchmarkProperties.kt

@@ -6,8 +6,8 @@
 package space.kscience.kmath.benchmarks
 
 import kotlinx.benchmark.gradle.BenchmarksExtension
-import kotlinx.serialization.decodeFromString
+import com.fasterxml.jackson.module.kotlin.jacksonObjectMapper
-import kotlinx.serialization.json.Json
+import com.fasterxml.jackson.module.kotlin.readValue
 import org.gradle.api.Project
 import space.kscience.gradle.KScienceReadmeExtension
 import java.time.LocalDateTime
@@ -45,6 +45,8 @@ private val ISO_DATE_TIME: DateTimeFormatter = DateTimeFormatterBuilder().run {
 
 private fun noun(number: Number, singular: String, plural: String) = if (number.toLong() == 1L) singular else plural
 
+private val jsonMapper = jacksonObjectMapper()
+
 fun Project.addBenchmarkProperties() {
     val benchmarksProject = this
     rootProject.subprojects.forEach { p ->
@@ -60,8 +62,7 @@ fun Project.addBenchmarkProperties() {
                     if (resDirectory == null || !(resDirectory.resolve("jvm.json")).exists()) {
                         "> **Can't find appropriate benchmark data. Try generating readme files after running benchmarks**."
                     } else {
-                        val reports =
+                        val reports: List<JmhReport> = jsonMapper.readValue<List<JmhReport>>(resDirectory.resolve("jvm.json"))
-                            Json.decodeFromString<List<JmhReport>>(resDirectory.resolve("jvm.json").readText())
 
                         buildString {
                             appendLine("<details>")

examples/src/main/kotlin/space/kscience/kmath/fit/chiSquared.kt

@@ -7,9 +7,9 @@ package space.kscience.kmath.fit
 
 import kotlinx.html.br
 import kotlinx.html.h3
-import space.kscience.kmath.commons.expressions.DSProcessor
 import space.kscience.kmath.commons.optimization.CMOptimizer
 import space.kscience.kmath.distributions.NormalDistribution
+import space.kscience.kmath.expressions.autodiff
 import space.kscience.kmath.expressions.chiSquaredExpression
 import space.kscience.kmath.expressions.symbol
 import space.kscience.kmath.operations.asIterable
@@ -67,7 +67,7 @@ suspend fun main() {
     val yErr = y.map { sqrt(it) }//RealVector.same(x.size, sigma)
 
     // compute differentiable chi^2 sum for given model ax^2 + bx + c
-    val chi2 = DSProcessor.chiSquaredExpression(x, y, yErr) { arg ->
+    val chi2 = Double.autodiff.chiSquaredExpression(x, y, yErr) { arg ->
         //bind variables to autodiff context
         val a = bindSymbol(a)
         val b = bindSymbol(b)

examples/src/main/kotlin/space/kscience/kmath/fit/qowFit.kt

@@ -7,10 +7,10 @@ package space.kscience.kmath.fit
 
 import kotlinx.html.br
 import kotlinx.html.h3
-import space.kscience.kmath.commons.expressions.DSProcessor
 import space.kscience.kmath.data.XYErrorColumnarData
 import space.kscience.kmath.distributions.NormalDistribution
 import space.kscience.kmath.expressions.Symbol
+import space.kscience.kmath.expressions.autodiff
 import space.kscience.kmath.expressions.binding
 import space.kscience.kmath.expressions.symbol
 import space.kscience.kmath.operations.asIterable
@@ -63,7 +63,7 @@ suspend fun main() {
 
     val result = XYErrorColumnarData.of(x, y, yErr).fitWith(
         QowOptimizer,
-        DSProcessor,
+        Double.autodiff,
         mapOf(a to 0.9, b to 1.2, c to 2.0)
     ) { arg ->
         //bind variables to autodiff context

examples/src/main/kotlin/space/kscience/kmath/stat/DistributionBenchmark.kt

@@ -36,7 +36,7 @@ private suspend fun runKMathChained(): Duration {
     return Duration.between(startTime, Instant.now())
 }
 
-private fun runApacheDirect(): Duration {
+private fun runCMDirect(): Duration {
     val rng = RandomSource.create(RandomSource.MT, 123L)
 
     val sampler = CMGaussianSampler.of(
@@ -65,7 +65,7 @@ private fun runApacheDirect(): Duration {
  * Comparing chain sampling performance with direct sampling performance
  */
 fun main(): Unit = runBlocking(Dispatchers.Default) {
-    val directJob = async { runApacheDirect() }
+    val directJob = async { runCMDirect() }
     val chainJob = async { runKMathChained() }
     println("KMath Chained: ${chainJob.await()}")
     println("Apache Direct: ${directJob.await()}")

gradle.properties

@@ -5,12 +5,11 @@
 kotlin.code.style=official
 kotlin.mpp.stability.nowarn=true
 kotlin.native.ignoreDisabledTargets=true
-kotlin.incremental.js.ir=true
 
 org.gradle.configureondemand=true
 org.gradle.jvmargs=-Xmx4096m
 
-toolsVersion=0.13.1-kotlin-1.7.20
+toolsVersion=0.13.4-kotlin-1.8.0
 
 
 org.gradle.parallel=true

gradle/wrapper/gradle-wrapper.properties

@@ -1,5 +1,5 @@
 distributionBase=GRADLE_USER_HOME
 distributionPath=wrapper/dists
-distributionUrl=https\://services.gradle.org/distributions/gradle-7.5-bin.zip
+distributionUrl=https\://services.gradle.org/distributions/gradle-7.6-bin.zip
 zipStoreBase=GRADLE_USER_HOME
 zipStorePath=wrapper/dists

kmath-commons/src/main/kotlin/space/kscience/kmath/commons/expressions/CmDsExpression.kt

@@ -18,7 +18,8 @@ import space.kscience.kmath.operations.NumbersAddOps
  * @param bindings The map of bindings values. All bindings are considered free parameters
  */
 @OptIn(UnstableKMathAPI::class)
-public class DerivativeStructureField(
+@Deprecated("Use generic DSAlgebra from the core")
+public class CmDsField(
     public val order: Int,
     bindings: Map<Symbol, Double>,
 ) : ExtendedField<DerivativeStructure>, ExpressionAlgebra<Double, DerivativeStructure>,
@@ -108,25 +109,27 @@ public class DerivativeStructureField(
 /**
  * Auto-diff processor based on Commons-math [DerivativeStructure]
  */
-public object DSProcessor : AutoDiffProcessor<Double, DerivativeStructure, DerivativeStructureField> {
+@Deprecated("Use generic DSAlgebra from the core")
+public object CmDsProcessor : AutoDiffProcessor<Double, DerivativeStructure, CmDsField> {
      override fun differentiate(
-        function: DerivativeStructureField.() -> DerivativeStructure,
+         function: CmDsField.() -> DerivativeStructure,
-    ): DerivativeStructureExpression = DerivativeStructureExpression(function)
+    ): CmDsExpression = CmDsExpression(function)
 }
 
 /**
  * A constructs that creates a derivative structure with required order on-demand
  */
-public class DerivativeStructureExpression(
+@Deprecated("Use generic DSAlgebra from the core")
-    public val function: DerivativeStructureField.() -> DerivativeStructure,
+public class CmDsExpression(
+    public val function: CmDsField.() -> DerivativeStructure,
 ) : DifferentiableExpression<Double> {
     override operator fun invoke(arguments: Map<Symbol, Double>): Double =
-        DerivativeStructureField(0, arguments).function().value
+        CmDsField(0, arguments).function().value
 
     /**
      * Get the derivative expression with given orders
      */
     override fun derivativeOrNull(symbols: List<Symbol>): Expression<Double> = Expression { arguments ->
-        with(DerivativeStructureField(symbols.size, arguments)) { function().derivative(symbols) }
+        with(CmDsField(symbols.size, arguments)) { function().derivative(symbols) }
     }
 }

kmath-commons/src/test/kotlin/space/kscience/kmath/commons/expressions/DerivativeStructureExpressionTest.kt

@@ -3,6 +3,8 @@
  * 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("DEPRECATION")
+
 package space.kscience.kmath.commons.expressions
 
 import space.kscience.kmath.expressions.*
@@ -15,10 +17,10 @@ import kotlin.test.assertFails
 internal inline fun diff(
     order: Int,
     vararg parameters: Pair<Symbol, Double>,
-    block: DerivativeStructureField.() -> Unit,
+    block: CmDsField.() -> Unit,
 ) {
     contract { callsInPlace(block, InvocationKind.EXACTLY_ONCE) }
-    DerivativeStructureField(order, mapOf(*parameters)).run(block)
+    CmDsField(order, mapOf(*parameters)).run(block)
 }
 
 internal class AutoDiffTest {
@@ -41,7 +43,7 @@ internal class AutoDiffTest {
 
     @Test
     fun autoDifTest() {
-        val f = DerivativeStructureExpression {
+        val f = CmDsExpression {
             val x by binding
             val y by binding
             x.pow(2) + 2 * x * y + y.pow(2) + 1

kmath-commons/src/test/kotlin/space/kscience/kmath/commons/optimization/OptimizeTest.kt

@@ -6,22 +6,25 @@
 package space.kscience.kmath.commons.optimization
 
 import kotlinx.coroutines.runBlocking
-import space.kscience.kmath.commons.expressions.DSProcessor
-import space.kscience.kmath.commons.expressions.DerivativeStructureExpression
 import space.kscience.kmath.distributions.NormalDistribution
+import space.kscience.kmath.expressions.DSFieldExpression
 import space.kscience.kmath.expressions.Symbol.Companion.x
 import space.kscience.kmath.expressions.Symbol.Companion.y
+import space.kscience.kmath.expressions.autodiff
 import space.kscience.kmath.expressions.chiSquaredExpression
 import space.kscience.kmath.expressions.symbol
+import space.kscience.kmath.misc.UnstableKMathAPI
 import space.kscience.kmath.operations.DoubleBufferOps.Companion.map
+import space.kscience.kmath.operations.DoubleField
 import space.kscience.kmath.optimization.*
 import space.kscience.kmath.random.RandomGenerator
 import space.kscience.kmath.structures.DoubleBuffer
 import space.kscience.kmath.structures.asBuffer
 import kotlin.test.Test
 
+@OptIn(UnstableKMathAPI::class)
 internal class OptimizeTest {
-    val normal = DerivativeStructureExpression {
+    val normal = DSFieldExpression(DoubleField) {
         exp(-bindSymbol(x).pow(2) / 2) + exp(-bindSymbol(y).pow(2) / 2)
     }
 
@@ -60,7 +63,7 @@ internal class OptimizeTest {
 
         val yErr = DoubleBuffer(x.size) { sigma }
 
-        val chi2 = DSProcessor.chiSquaredExpression(
+        val chi2 = Double.autodiff.chiSquaredExpression(
             x, y, yErr
         ) { arg ->
             val cWithDefault = bindSymbolOrNull(c) ?: one

kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/DSAlgebra.kt

@@ -80,7 +80,6 @@ public abstract class DSAlgebra<T, A : Ring<T>>(
     public val algebra: A,
     public val order: Int,
     bindings: Map<Symbol, T>,
-    public val valueBufferFactory: MutableBufferFactory<T> = algebra.bufferFactory,
 ) : ExpressionAlgebra<T, DS<T, A>>, SymbolIndexer {
 
     /**
@@ -116,7 +115,6 @@ public abstract class DSAlgebra<T, A : Ring<T>>(
 
                     newCache[p][o] = DSCompiler(
                         algebra,
-                        valueBufferFactory,
                         p,
                         o,
                         valueCompiler,
@@ -141,7 +139,7 @@ public abstract class DSAlgebra<T, A : Ring<T>>(
     override val symbols: List<Symbol> = bindings.map { it.key }
 
     private fun bufferForVariable(index: Int, value: T): Buffer<T> {
-        val buffer = valueBufferFactory(compiler.size) { algebra.zero }
+        val buffer = algebra.bufferFactory(compiler.size) { algebra.zero }
         buffer[0] = value
         if (compiler.order > 0) {
             // the derivative of the variable with respect to itself is 1.
@@ -207,7 +205,7 @@ public abstract class DSAlgebra<T, A : Ring<T>>(
     }
 
     public override fun const(value: T): DS<T, A> {
-        val buffer = valueBufferFactory(compiler.size) { algebra.zero }
+        val buffer = algebra.bufferFactory(compiler.size) { algebra.zero }
         buffer[0] = value
 
         return DS(buffer)
@@ -245,11 +243,14 @@ public open class DSRing<T, A>(
     algebra: A,
     order: Int,
     bindings: Map<Symbol, T>,
-    valueBufferFactory: MutableBufferFactory<T>,
+) : DSAlgebra<T, A>(algebra, order, bindings),
-) : DSAlgebra<T, A>(algebra, order, bindings, valueBufferFactory),
+    Ring<DS<T, A>>,
-    Ring<DS<T, A>>, ScaleOperations<DS<T, A>>,
+    ScaleOperations<DS<T, A>>,
     NumericAlgebra<DS<T, A>>,
-    NumbersAddOps<DS<T, A>> where A : Ring<T>, A : NumericAlgebra<T>, A : ScaleOperations<T> {
+    NumbersAddOps<DS<T, A>>
+        where A : Ring<T>, A : NumericAlgebra<T>, A : ScaleOperations<T> {
+
+    public val elementBufferFactory: MutableBufferFactory<T> = algebra.bufferFactory
 
     override fun bindSymbolOrNull(value: String): DSSymbol? =
         super<DSAlgebra>.bindSymbolOrNull(value)
@@ -261,14 +262,14 @@ public open class DSRing<T, A>(
      */
     protected inline fun DS<T, A>.transformDataBuffer(block: A.(MutableBuffer<T>) -> Unit): DS<T, A> {
         require(derivativeAlgebra == this@DSRing) { "All derivative operations should be done in the same algebra" }
-        val newData = valueBufferFactory(compiler.size) { data[it] }
+        val newData = elementBufferFactory(compiler.size) { data[it] }
         algebra.block(newData)
         return DS(newData)
     }
 
     protected fun DS<T, A>.mapData(block: A.(T) -> T): DS<T, A> {
         require(derivativeAlgebra == this@DSRing) { "All derivative operations should be done in the same algebra" }
-        val newData: Buffer<T> = data.mapToBuffer(valueBufferFactory) {
+        val newData: Buffer<T> = data.mapToBuffer(elementBufferFactory) {
             algebra.block(it)
         }
         return DS(newData)
@@ -276,7 +277,7 @@ public open class DSRing<T, A>(
 
     protected fun DS<T, A>.mapDataIndexed(block: (Int, T) -> T): DS<T, A> {
         require(derivativeAlgebra == this@DSRing) { "All derivative operations should be done in the same algebra" }
-        val newData: Buffer<T> = data.mapIndexedToBuffer(valueBufferFactory, block)
+        val newData: Buffer<T> = data.mapIndexedToBuffer(elementBufferFactory, block)
         return DS(newData)
     }
 
@@ -329,22 +330,21 @@ public class DerivativeStructureRingExpression<T, A>(
     public val function: DSRing<T, A>.() -> DS<T, A>,
 ) : DifferentiableExpression<T> where A : Ring<T>, A : ScaleOperations<T>, A : NumericAlgebra<T> {
     override operator fun invoke(arguments: Map<Symbol, T>): T =
-        DSRing(algebra, 0, arguments, elementBufferFactory).function().value
+        DSRing(algebra, 0, arguments).function().value
 
     override fun derivativeOrNull(symbols: List<Symbol>): Expression<T> = Expression { arguments ->
         with(
             DSRing(
                 algebra,
                 symbols.size,
-                arguments,
+                arguments
-                elementBufferFactory
             )
         ) { function().derivative(symbols) }
     }
 }
 
 /**
- * A field over commons-math [DerivativeStructure].
+ * A field over [DS].
  *
  * @property order The derivation order.
  * @param bindings The map of bindings values. All bindings are considered free parameters.
@@ -354,8 +354,7 @@ public class DSField<T, A : ExtendedField<T>>(
     algebra: A,
     order: Int,
     bindings: Map<Symbol, T>,
-    valueBufferFactory: MutableBufferFactory<T>,
+) : DSRing<T, A>(algebra, order, bindings), ExtendedField<DS<T, A>> {
-) : DSRing<T, A>(algebra, order, bindings, valueBufferFactory), ExtendedField<DS<T, A>> {
     override fun number(value: Number): DS<T, A> = const(algebra.number(value))
 
     override fun divide(left: DS<T, A>, right: DS<T, A>): DS<T, A> = left.transformDataBuffer { result ->
@@ -414,6 +413,7 @@ public class DSField<T, A : ExtendedField<T>>(
         is Int -> arg.transformDataBuffer { result ->
             compiler.pow(arg.data, 0, pow, result, 0)
         }
+
         else -> arg.transformDataBuffer { result ->
             compiler.pow(arg.data, 0, pow.toDouble(), result, 0)
         }
@@ -439,18 +439,29 @@ public class DSField<T, A : ExtendedField<T>>(
 @UnstableKMathAPI
 public class DSFieldExpression<T, A : ExtendedField<T>>(
     public val algebra: A,
-    private val valueBufferFactory: MutableBufferFactory<T> = algebra.bufferFactory,
     public val function: DSField<T, A>.() -> DS<T, A>,
 ) : DifferentiableExpression<T> {
     override operator fun invoke(arguments: Map<Symbol, T>): T =
-        DSField(algebra, 0, arguments, valueBufferFactory).function().value
+        DSField(algebra, 0, arguments).function().value
 
     override fun derivativeOrNull(symbols: List<Symbol>): Expression<T> = Expression { arguments ->
         DSField(
             algebra,
             symbols.size,
             arguments,
-            valueBufferFactory,
         ).run { function().derivative(symbols) }
     }
 }
+
+
+@UnstableKMathAPI
+public class DSFieldProcessor<T, A : ExtendedField<T>>(
+    public val algebra: A,
+) : AutoDiffProcessor<T, DS<T, A>, DSField<T, A>> {
+    override fun differentiate(
+        function: DSField<T, A>.() -> DS<T, A>,
+    ): DifferentiableExpression<T> = DSFieldExpression(algebra, function)
+}
+
+@UnstableKMathAPI
+public val Double.Companion.autodiff: DSFieldProcessor<Double, DoubleField> get() = DSFieldProcessor(DoubleField)

kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/DSCompiler.kt

@@ -9,7 +9,6 @@ package space.kscience.kmath.expressions
 import space.kscience.kmath.operations.*
 import space.kscience.kmath.structures.Buffer
 import space.kscience.kmath.structures.MutableBuffer
-import space.kscience.kmath.structures.MutableBufferFactory
 import kotlin.math.min
 
 internal fun <T> MutableBuffer<T>.fill(element: T, fromIndex: Int = 0, toIndex: Int = size) {
@@ -56,7 +55,6 @@ internal fun <T> MutableBuffer<T>.fill(element: T, fromIndex: Int = 0, toIndex:
  */
 public class DSCompiler<T, out A : Algebra<T>> internal constructor(
     public val algebra: A,
-    public val bufferFactory: MutableBufferFactory<T>,
     public val freeParameters: Int,
     public val order: Int,
     valueCompiler: DSCompiler<T, A>?,

kmath-core/src/commonTest/kotlin/space/kscience/kmath/expressions/DSTest.kt

@@ -9,7 +9,6 @@ package space.kscience.kmath.expressions
 
 import space.kscience.kmath.misc.UnstableKMathAPI
 import space.kscience.kmath.operations.DoubleField
-import space.kscience.kmath.structures.DoubleBuffer
 import kotlin.contracts.InvocationKind
 import kotlin.contracts.contract
 import kotlin.test.Test
@@ -22,7 +21,7 @@ internal inline fun diff(
     block: DSField<Double, DoubleField>.() -> Unit,
 ) {
     contract { callsInPlace(block, InvocationKind.EXACTLY_ONCE) }
-    DSField(DoubleField, order, mapOf(*parameters), ::DoubleBuffer).block()
+    DSField(DoubleField, order, mapOf(*parameters)).block()
 }
 
 internal class DSTest {
@@ -45,7 +44,7 @@ internal class DSTest {
 
     @Test
     fun dsExpressionTest() {
-        val f = DSFieldExpression(DoubleField, ::DoubleBuffer) {
+        val f = DSFieldExpression(DoubleField) {
             val x by binding
             val y by binding
             x.pow(2) + 2 * x * y + y.pow(2) + 1

kmath-functions/build.gradle.kts

@@ -17,7 +17,7 @@ kotlin.sourceSets {
 }
 
 dependencies {
-    dokkaPlugin("org.jetbrains.dokka:mathjax-plugin:${npmlibs.versions.dokka.get()}")
+    dokkaPlugin("org.jetbrains.dokka:mathjax-plugin:${spclibs.versions.dokka.get()}")
 }
 
 readme {

kmath-histograms/build.gradle.kts

@@ -12,7 +12,7 @@ kotlin.sourceSets {
     commonMain {
         dependencies {
             api(project(":kmath-core"))
-            api(npmlibs.atomicfu)
+            api(spclibs.atomicfu)
         }
     }
     commonTest {

kmath-optimization/build.gradle.kts

@@ -14,7 +14,7 @@ kotlin.sourceSets {
     commonMain {
         dependencies {
             api(project(":kmath-coroutines"))
-            api(npmlibs.atomicfu)
+            api(spclibs.atomicfu)
         }
     }
 }

kmath-stat/build.gradle.kts

@@ -10,7 +10,7 @@ kotlin.sourceSets {
     commonMain {
         dependencies {
             api(project(":kmath-coroutines"))
-            implementation(npmlibs.atomicfu)
+            implementation(spclibs.atomicfu)
         }
     }
 

settings.gradle.kts

@@ -13,7 +13,7 @@ dependencyResolutionManagement {
     }
 
     versionCatalogs {
-        create("npmlibs") {
+        create("spclibs") {
             from("space.kscience:version-catalog:$toolsVersion")
         }
     }