.github/workflows/publish.yml

@@ -15,7 +15,7 @@ jobs:
     runs-on: ${{matrix.os}}
     steps:
       - uses: actions/checkout@v3.0.0
-      - uses: actions/setup-java@v3.0.0
+      - uses: actions/setup-java@v3.10.0
         with:
           java-version: 11
           distribution: liberica
@@ -26,26 +26,24 @@ jobs:
           key: ${{ runner.os }}-gradle-${{ hashFiles('*.gradle.kts') }}
           restore-keys: |
             ${{ runner.os }}-gradle-
-      - uses: gradle/wrapper-validation-action@v1.0.4
       - name: Publish Windows Artifacts
         if: matrix.os == 'windows-latest'
-        uses: gradle/gradle-build-action@v2.1.5
+        uses: gradle/gradle-build-action@v2.4.0
         with:
           arguments: |
-            releaseAll
-            -Ppublishing.enabled=true
-            -Ppublishing.sonatype=false
+            publishAllPublicationsToSpaceRepository
+            -Ppublishing.targets=all
             -Ppublishing.space.user=${{ secrets.SPACE_APP_ID }}
             -Ppublishing.space.token=${{ secrets.SPACE_APP_SECRET }}
       - name: Publish Mac Artifacts
         if: matrix.os == 'macOS-latest'
-        uses: gradle/gradle-build-action@v2.1.5
+        uses: gradle/gradle-build-action@v2.4.0
         with:
           arguments: |
-            releaseMacosX64
-            releaseIosArm64
-            releaseIosX64
-            -Ppublishing.enabled=true
-            -Ppublishing.sonatype=false            
+            publishMacosX64PublicationToSpaceRepository
+            publishIosX64PublicationToSpaceRepository
+            publishIosArm64PublicationToSpaceRepository
+            publishIosSimulatorArm64PublicationToSpaceRepository
+            -Ppublishing.targets=all
             -Ppublishing.space.user=${{ secrets.SPACE_APP_ID }}
             -Ppublishing.space.token=${{ secrets.SPACE_APP_SECRET }}

.gitignore

@@ -18,4 +18,5 @@ out/
 
 !/.idea/copyright/
 !/.idea/scopes/
-/kotlin-js-store/yarn.lock
+/gradle/yarn.lock
+

CHANGELOG.md

@@ -2,6 +2,7 @@
 
 ## [Unreleased]
 ### Added
+- Generic builders for `BufferND` and `MutableBufferND`
 - `NamedMatrix` - matrix with symbol-based indexing
 - `Expression` with default arguments
 - Type-aliases for numbers like `Float64`

examples/build.gradle.kts

@@ -1,3 +1,5 @@
+import org.jetbrains.kotlin.gradle.tasks.KotlinJvmCompile
+
 plugins {
     kotlin("jvm")
 }
@@ -33,6 +35,8 @@ dependencies {
     implementation(project(":kmath-multik"))
     implementation("org.jetbrains.kotlinx:multik-default:$multikVersion")
 
+    //datetime
+    implementation("org.jetbrains.kotlinx:kotlinx-datetime:0.4.0")
 
     implementation("org.nd4j:nd4j-native:1.0.0-beta7")
 
@@ -46,25 +50,24 @@ dependencies {
 //    } else
     implementation("org.nd4j:nd4j-native-platform:1.0.0-beta7")
 
-    // multik implementation
-    implementation("org.jetbrains.kotlinx:multik-default:0.1.0")
-
     implementation("org.slf4j:slf4j-simple:1.7.32")
     // plotting
     implementation("space.kscience:plotlykt-server:0.5.0")
 }
 
-kotlin.sourceSets.all {
+kotlin {
+    jvmToolchain(11)
+    sourceSets.all {
         with(languageSettings) {
             optIn("kotlin.contracts.ExperimentalContracts")
             optIn("kotlin.ExperimentalUnsignedTypes")
             optIn("space.kscience.kmath.misc.UnstableKMathAPI")
         }
+    }
 }
 
-tasks.withType<org.jetbrains.kotlin.gradle.dsl.KotlinJvmCompile> {
+tasks.withType<KotlinJvmCompile> {
     kotlinOptions {
-        jvmTarget = "11"
         freeCompilerArgs = freeCompilerArgs + "-Xjvm-default=all" + "-Xopt-in=kotlin.RequiresOptIn" + "-Xlambdas=indy"
     }
 }

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

@@ -0,0 +1,19 @@
+/*
+ * Copyright 2018-2023 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.stat
+
+import kotlinx.datetime.Instant
+import space.kscience.kmath.operations.algebra
+import space.kscience.kmath.operations.bufferAlgebra
+import space.kscience.kmath.series.MonotonicSeriesAlgebra
+import space.kscience.kmath.series.SeriesAlgebra
+import kotlin.time.Duration
+
+fun SeriesAlgebra.Companion.time(zero: Instant, step: Duration) = MonotonicSeriesAlgebra(
+    bufferAlgebra = Double.algebra.bufferAlgebra,
+    offsetToLabel = { zero + step * it },
+    labelToOffset = { (it - zero) / step }
+)

gradle.properties

@@ -9,7 +9,7 @@ kotlin.native.ignoreDisabledTargets=true
 org.gradle.configureondemand=true
 org.gradle.jvmargs=-Xmx4096m
 
-toolsVersion=0.14.2-kotlin-1.8.10
+toolsVersion=0.14.5-kotlin-1.8.20-RC
 
 
 org.gradle.parallel=true

kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferND.kt

@@ -7,7 +7,9 @@ package space.kscience.kmath.nd
 
 import space.kscience.kmath.misc.PerformancePitfall
 import space.kscience.kmath.structures.Buffer
+import space.kscience.kmath.structures.BufferFactory
 import space.kscience.kmath.structures.MutableBuffer
+import space.kscience.kmath.structures.MutableBufferFactory
 
 /**
  * Represents [StructureND] over [Buffer].
@@ -29,6 +31,18 @@ public open class BufferND<out T>(
     override fun toString(): String = StructureND.toString(this)
 }
 
+/**
+ * Create a generic [BufferND] using provided [initializer]
+ */
+public fun <T> BufferND(
+    shape: ShapeND,
+    bufferFactory: BufferFactory<T> = BufferFactory.boxing(),
+    initializer: (IntArray) -> T,
+): BufferND<T> {
+    val strides = Strides(shape)
+    return BufferND(strides, bufferFactory(strides.linearSize) { initializer(strides.index(it)) })
+}
+
 ///**
 // * Transform structure to a new structure using provided [BufferFactory] and optimizing if argument is [BufferND]
 // */
@@ -67,6 +81,18 @@ public open class MutableBufferND<T>(
     }
 }
 
+/**
+ * Create a generic [BufferND] using provided [initializer]
+ */
+public fun <T> MutableBufferND(
+    shape: ShapeND,
+    bufferFactory: MutableBufferFactory<T> = MutableBufferFactory.boxing(),
+    initializer: (IntArray) -> T,
+): MutableBufferND<T> {
+    val strides = Strides(shape)
+    return MutableBufferND(strides, bufferFactory(strides.linearSize) { initializer(strides.index(it)) })
+}
+
 ///**
 // * Transform structure to a new structure using provided [MutableBufferFactory] and optimizing if argument is [MutableBufferND]
 // */

kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/coroutines/coroutinesExtra.kt

@@ -8,6 +8,7 @@
 package space.kscience.kmath.coroutines
 
 import kotlinx.coroutines.*
+import kotlinx.coroutines.channels.ReceiveChannel
 import kotlinx.coroutines.channels.produce
 import kotlinx.coroutines.flow.*
 
@@ -57,7 +58,7 @@ public suspend fun <T> AsyncFlow<T>.collect(concurrency: Int, collector: FlowCol
 
     coroutineScope {
         //Starting up to N deferred coroutines ahead of time
-        val channel = produce(capacity = concurrency - 1) {
+        val channel: ReceiveChannel<LazyDeferred<T>> = produce(capacity = concurrency - 1) {
             deferredFlow.collect { value ->
                 value.start(this@coroutineScope)
                 send(value)

kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/GaussIntegratorRuleFactory.kt

@@ -9,7 +9,6 @@ import space.kscience.kmath.operations.mapToBuffer
 import space.kscience.kmath.structures.Buffer
 import space.kscience.kmath.structures.DoubleBuffer
 import space.kscience.kmath.structures.asBuffer
-import kotlin.jvm.Synchronized
 import kotlin.math.ulp
 import kotlin.native.concurrent.ThreadLocal
 
@@ -57,7 +56,6 @@ public object GaussLegendreRuleFactory : GaussIntegratorRuleFactory {
 
     private val cache = HashMap<Int, Pair<Buffer<Double>, Buffer<Double>>>()
 
-    @Synchronized
     private fun getOrBuildRule(numPoints: Int): Pair<Buffer<Double>, Buffer<Double>> =
         cache.getOrPut(numPoints) { buildRule(numPoints) }
 

kmath-geometry/src/commonMain/kotlin/space/kscience/kmath/geometry/Euclidean3DSpace.kt

@@ -78,8 +78,11 @@ public object Euclidean3DSpace : GeometrySpace<DoubleVector3D>, ScaleOperations<
         }
     }
 
+    public fun vector(x: Double, y: Double, z: Double): DoubleVector3D =
+        Vector3DImpl(x, y, z)
+
     public fun vector(x: Number, y: Number, z: Number): DoubleVector3D =
-        Vector3DImpl(x.toDouble(), y.toDouble(), z.toDouble())
+        vector(x.toDouble(), y.toDouble(), z.toDouble())
 
     override val zero: DoubleVector3D by lazy { vector(0.0, 0.0, 0.0) }
 
@@ -100,6 +103,46 @@ public object Euclidean3DSpace : GeometrySpace<DoubleVector3D>, ScaleOperations<
     override fun DoubleVector3D.dot(other: DoubleVector3D): Double =
         x * other.x + y * other.y + z * other.z
 
+    private fun leviCivita(i: Int, j: Int, k: Int): Int = when {
+        // even permutation
+        i == 0 && j == 1 && k == 2 -> 1
+        i == 1 && j == 2 && k == 0 -> 1
+        i == 2 && j == 0 && k == 1 -> 1
+        // odd permutations
+        i == 2 && j == 1 && k == 0 -> -1
+        i == 0 && j == 2 && k == 1 -> -1
+        i == 1 && j == 0 && k == 2 -> -1
+
+        else -> 0
+    }
+
+    /**
+     * Compute vector product of [first] and [second]. The basis assumed to be right-handed.
+     */
+    public fun vectorProduct(
+        first: DoubleVector3D,
+        second: DoubleVector3D,
+    ): DoubleVector3D {
+        var x = 0.0
+        var y = 0.0
+        var z = 0.0
+
+        for (j in (0..2)) {
+            for (k in (0..2)) {
+                x += leviCivita(0, j, k) * first[j] * second[k]
+                y += leviCivita(1, j, k) * first[j] * second[k]
+                z += leviCivita(2, j, k) * first[j] * second[k]
+            }
+        }
+
+        return vector(x, y, z)
+    }
+
+    /**
+     * Vector product with right basis
+     */
+    public infix fun DoubleVector3D.cross(other: DoubleVector3D): Vector3D<Double> = vectorProduct(this, other)
+
     public val xAxis: DoubleVector3D = vector(1.0, 0.0, 0.0)
     public val yAxis: DoubleVector3D = vector(0.0, 1.0, 0.0)
     public val zAxis: DoubleVector3D = vector(0.0, 0.0, 1.0)

kmath-geometry/src/commonTest/kotlin/space/kscience/kmath/geometry/Euclidean3DSpaceTest.kt

@@ -57,8 +57,7 @@ internal class Euclidean3DSpaceTest {
     }
 
     @Test
-    fun add() {
-        with(Euclidean3DSpace) {
+    fun add() = with(Euclidean3DSpace) {
         assertVectorEquals(
             vector(1.0, -2.0, 0.001),
             vector(1.0, -2.0, 0.001) + zero
@@ -68,12 +67,28 @@ internal class Euclidean3DSpaceTest {
             vector(1.0, 2.0, 3.0) + vector(7.0, -5.0, 0.001)
         )
     }
+
+    @Test
+    fun multiply() = with(Euclidean3DSpace) {
+        assertVectorEquals(vector(2.0, -4.0, 0.0), vector(1.0, -2.0, 0.0) * 2)
     }
 
     @Test
-    fun multiply() {
-        with(Euclidean3DSpace) {
-            assertVectorEquals(vector(2.0, -4.0, 0.0), vector(1.0, -2.0, 0.0) * 2)
+    fun vectorProduct() = with(Euclidean3DSpace) {
+        assertVectorEquals(zAxis, vectorProduct(xAxis, yAxis))
+        assertVectorEquals(zAxis, xAxis cross yAxis)
+        assertVectorEquals(-zAxis, vectorProduct(yAxis, xAxis))
     }
+
+    @Test
+    fun doubleVectorProduct() = with(Euclidean3DSpace) {
+        val a = vector(1, 2, -3)
+        val b = vector(-1, 0, 1)
+        val c = vector(4, 5, 6)
+
+        val res = a cross (b cross c)
+        val expected = b * (a dot c) - c * (a dot b)
+        assertVectorEquals(expected, res)
     }
+
 }

kmath-stat/src/commonMain/kotlin/space/kscience/kmath/series/MonotonicSeriesAlgebra.kt

@@ -0,0 +1,47 @@
+/*
+ * Copyright 2018-2023 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.series
+
+import space.kscience.kmath.operations.BufferAlgebra
+import space.kscience.kmath.operations.Ring
+import space.kscience.kmath.structures.Buffer
+import kotlin.math.ceil
+import kotlin.math.floor
+
+/**
+ * A [SeriesAlgebra] with reverse label to index transformation.
+ *
+ * @param [labelToOffset] returns floating point number that is used for index resolution.
+ */
+public class MonotonicSeriesAlgebra<T, out A : Ring<T>, out BA : BufferAlgebra<T, A>, L : Comparable<L>>(
+    bufferAlgebra: BA,
+    offsetToLabel: (Int) -> L,
+    private val labelToOffset: (L) -> Double,
+) : SeriesAlgebra<T, A, BA, L>(bufferAlgebra, offsetToLabel) {
+
+    public val Buffer<T>.labelRange: ClosedRange<L> get() = offsetToLabel(startOffset)..offsetToLabel(startOffset + size)
+
+    /**
+     * An offset of the given [label] rounded down
+     */
+    public fun floorOffset(label: L): Int = floor(labelToOffset(label)).toInt()
+
+    /**
+     * An offset of the given [label] rounded up
+     */
+    public fun ceilOffset(label: L): Int = ceil(labelToOffset(label)).toInt()
+
+    /**
+     * Get value by label (rounded down) or return null if the value is outside series boundaries.
+     */
+    public fun Buffer<T>.getByLabelOrNull(label: L): T? = getByOffsetOrNull(floorOffset(label))
+
+    /**
+     * Get value by label (rounded down) or throw [IndexOutOfBoundsException] if the value is outside series boundaries.
+     */
+    public fun Buffer<T>.getByLabel(label: L): T = getByLabelOrNull(label)
+        ?: throw IndexOutOfBoundsException("Label $label is not in $labelRange")
+}

kmath-stat/src/commonMain/kotlin/space/kscience/kmath/series/SeriesAlgebra.kt

@@ -6,6 +6,7 @@ import space.kscience.kmath.operations.RingOps
 import space.kscience.kmath.stat.StatisticalAlgebra
 import space.kscience.kmath.structures.Buffer
 import space.kscience.kmath.structures.BufferView
+import space.kscience.kmath.structures.getOrNull
 import kotlin.math.max
 import kotlin.math.min
 
@@ -23,7 +24,9 @@ internal operator fun IntRange.contains(other: IntRange): Boolean = (other.first
 //TODO add permutation sort
 //TODO check rank statistics
 
-
+/**
+ * A [Buffer] with an offset relative to the [SeriesAlgebra] zero.
+ */
 public interface Series<T> : Buffer<T> {
     public val origin: Buffer<T>
 
@@ -33,8 +36,6 @@ public interface Series<T> : Buffer<T> {
     public val position: Int
 }
 
-public val <T> Series<T>.absoluteIndices: IntRange get() = position until position + size
-
 /**
  * A [BufferView] with index offset (both positive and negative) and possible size change
  */
@@ -55,59 +56,75 @@ private class SeriesImpl<T>(
 /**
  * A scope to operation on series
  */
-public class SeriesAlgebra<T, out A : Ring<T>, out BA : BufferAlgebra<T, A>, L>(
+public open class SeriesAlgebra<T, out A : Ring<T>, out BA : BufferAlgebra<T, A>, L>(
     override val bufferAlgebra: BA,
-    private val labelResolver: (Int) -> L,
+    public val offsetToLabel: (Int) -> L,
 ) : RingOps<Buffer<T>>, StatisticalAlgebra<T, A, BA> {
 
-    public val Buffer<T>.indices: IntRange
+    /**
+     * A range of valid offset indices. In general, does not start with zero.
+     */
+    public val Buffer<T>.offsetIndices: IntRange
         get() = if (this is Series) {
-            absoluteIndices
+            position until position + size
         } else {
             0 until size
         }
 
     /**
-     * Get the value by absolute index in the series algebra or return null if index is out of range
+     * Get the value by absolute offset in the series algebra or return null if index is out of range
      */
-    public fun Buffer<T>.getAbsoluteOrNull(index: Int): T? = when {
-        index !in indices -> null
-        this is Series -> origin[index - position]
-        else -> get(index)
+    public fun Buffer<T>.getByOffsetOrNull(index: Int): T? = when {
+        index !in offsetIndices -> null
+        this is Series -> origin.getOrNull(index - position)
+        else -> getOrNull(index)
     }
 
     /**
      * Get the value by absolute index in the series algebra or throw [IndexOutOfBoundsException] if index is out of range
      */
-    public fun Buffer<T>.getAbsolute(index: Int): T =
-        getAbsoluteOrNull(index) ?: throw IndexOutOfBoundsException("Index $index is not in $indices")
+    public fun Buffer<T>.getByOffset(index: Int): T =
+        getByOffsetOrNull(index) ?: throw IndexOutOfBoundsException("Index $index is not in $offsetIndices")
 
     /**
-     * Create an offset series with index starting point at [index]
+     *  Zero-copy move [Buffer] or [Series] to given [position] ignoring series offset if it is present.
      */
-    public fun Buffer<T>.moveTo(index: Int): Series<T> = if (this is Series) {
-        SeriesImpl(origin, index, size)
+    public fun Buffer<T>.moveTo(position: Int): Series<T> = if (this is Series) {
+        SeriesImpl(origin, position, size)
     } else {
-        SeriesImpl(this, index, size)
+        SeriesImpl(this, position, size)
     }
 
-    public val Buffer<T>.offset: Int get() = if (this is Series) position else 0
+    /**
+     * Zero-copy move [Buffer] or [Series] by given [offset]. If it is [Series], sum intrinsic series position and the [offset].
+     */
+    public fun Buffer<T>.moveBy(offset: Int): Series<T> = if (this is Series) {
+        SeriesImpl(origin, position + offset, size)
+    } else {
+        SeriesImpl(this, offset, size)
+    }
 
     /**
-     * Build a new series
+     * An offset of the buffer start relative to [SeriesAlgebra] zero offset
      */
-    public fun series(size: Int, fromIndex: Int = 0, block: A.(label: L) -> T): Series<T> {
+    public val Buffer<T>.startOffset: Int get() = if (this is Series) position else 0
+
+    public val Buffer<T>.startLabel: L get() = offsetToLabel(startOffset)
+
+    /**
+     * Build a new series positioned at [startOffset].
+     */
+    public fun series(size: Int, startOffset: Int = 0, block: A.(label: L) -> T): Series<T> {
         return elementAlgebra.bufferFactory(size) {
-            val index = it + fromIndex
-            elementAlgebra.block(labelResolver(index))
-        }.moveTo(fromIndex)
+            val index = it + startOffset
+            elementAlgebra.block(offsetToLabel(index))
+        }.moveTo(startOffset)
     }
 
     /**
      * Get a label buffer for given buffer.
      */
-    public val Buffer<T>.labels: List<L> get() = indices.map(labelResolver)
-
+    public val Buffer<T>.labels: List<L> get() = offsetIndices.map(offsetToLabel)
 
     /**
      * Try to resolve element by label and return null if element with a given label is not found
@@ -115,7 +132,7 @@ public class SeriesAlgebra<T, out A : Ring<T>, out BA : BufferAlgebra<T, A>, L>(
     public operator fun Buffer<T>.get(label: L): T? {
         val index = labels.indexOf(label)
         if (index == -1) return null
-        return getAbsolute(index + offset)
+        return getByOffset(index + startOffset)
     }
 
     /**
@@ -123,9 +140,9 @@ public class SeriesAlgebra<T, out A : Ring<T>, out BA : BufferAlgebra<T, A>, L>(
      */
     public inline fun Buffer<T>.map(crossinline transform: A.(T) -> T): Series<T> {
         val buf = elementAlgebra.bufferFactory(size) {
-            elementAlgebra.transform(getAbsolute(it))
+            elementAlgebra.transform(getByOffset(it))
         }
-        return buf.moveTo(indices.first)
+        return buf.moveTo(offsetIndices.first)
     }
 
     /**
@@ -134,22 +151,22 @@ public class SeriesAlgebra<T, out A : Ring<T>, out BA : BufferAlgebra<T, A>, L>(
     public inline fun Buffer<T>.mapWithLabel(crossinline transform: A.(arg: T, label: L) -> T): Series<T> {
         val labels = labels
         val buf = elementAlgebra.bufferFactory(size) {
-            elementAlgebra.transform(getAbsolute(it), labels[it])
+            elementAlgebra.transform(getByOffset(it), labels[it])
         }
-        return buf.moveTo(indices.first)
+        return buf.moveTo(offsetIndices.first)
     }
 
     public inline fun <R> Buffer<T>.fold(initial: R, operation: A.(acc: R, T) -> R): R {
         var accumulator = initial
-        for (index in this.indices) accumulator = elementAlgebra.operation(accumulator, getAbsolute(index))
+        for (index in this.offsetIndices) accumulator = elementAlgebra.operation(accumulator, getByOffset(index))
         return accumulator
     }
 
     public inline fun <R> Buffer<T>.foldWithLabel(initial: R, operation: A.(acc: R, arg: T, label: L) -> R): R {
         val labels = labels
         var accumulator = initial
-        for (index in this.indices) accumulator =
-            elementAlgebra.operation(accumulator, getAbsolute(index), labels[index])
+        for (index in this.offsetIndices) accumulator =
+            elementAlgebra.operation(accumulator, getByOffset(index), labels[index])
         return accumulator
     }
 
@@ -160,11 +177,11 @@ public class SeriesAlgebra<T, out A : Ring<T>, out BA : BufferAlgebra<T, A>, L>(
         other: Buffer<T>,
         crossinline operation: A.(left: T, right: T) -> T,
     ): Series<T> {
-        val newRange = indices.intersect(other.indices)
+        val newRange = offsetIndices.intersect(other.offsetIndices)
         return elementAlgebra.bufferFactory(newRange.size) {
             elementAlgebra.operation(
-                getAbsolute(it),
-                other.getAbsolute(it)
+                getByOffset(it),
+                other.getByOffset(it)
             )
         }.moveTo(newRange.first)
     }
@@ -174,6 +191,8 @@ public class SeriesAlgebra<T, out A : Ring<T>, out BA : BufferAlgebra<T, A>, L>(
     override fun add(left: Buffer<T>, right: Buffer<T>): Series<T> = left.zip(right) { l, r -> l + r }
 
     override fun multiply(left: Buffer<T>, right: Buffer<T>): Buffer<T> = left.zip(right) { l, r -> l * r }
+
+    public companion object
 }
 
 public fun <T, A : Ring<T>, BA : BufferAlgebra<T, A>, L> BA.seriesAlgebra(labels: Iterable<L>): SeriesAlgebra<T, A, BA, L> {

kmath-stat/src/commonMain/kotlin/space/kscience/kmath/series/seriesExtensions.kt

@@ -12,32 +12,32 @@ import space.kscience.kmath.structures.Buffer
 public fun <T, BA> SeriesAlgebra<T, *, BA, *>.sin(
     arg: Buffer<T>,
 ): Series<T> where BA : BufferAlgebra<T, *>, BA : TrigonometricOperations<Buffer<T>> =
-    bufferAlgebra.sin(arg).moveTo(arg.offset)
+    bufferAlgebra.sin(arg).moveTo(arg.startOffset)
 
 public fun <T, BA> SeriesAlgebra<T, *, BA, *>.cos(
     arg: Buffer<T>,
 ): Series<T> where BA : BufferAlgebra<T, *>, BA : TrigonometricOperations<Buffer<T>> =
-    bufferAlgebra.cos(arg).moveTo(arg.offset)
+    bufferAlgebra.cos(arg).moveTo(arg.startOffset)
 
 public fun <T, BA> SeriesAlgebra<T, *, BA, *>.tan(
     arg: Buffer<T>,
 ): Series<T> where BA : BufferAlgebra<T, *>, BA : TrigonometricOperations<Buffer<T>> =
-    bufferAlgebra.tan(arg).moveTo(arg.offset)
+    bufferAlgebra.tan(arg).moveTo(arg.startOffset)
 
 public fun <T, BA> SeriesAlgebra<T, *, BA, *>.asin(
     arg: Buffer<T>,
 ): Series<T> where BA : BufferAlgebra<T, *>, BA : TrigonometricOperations<Buffer<T>> =
-    bufferAlgebra.asin(arg).moveTo(arg.offset)
+    bufferAlgebra.asin(arg).moveTo(arg.startOffset)
 
 public fun <T, BA> SeriesAlgebra<T, *, BA, *>.acos(
     arg: Buffer<T>,
 ): Series<T> where BA : BufferAlgebra<T, *>, BA : TrigonometricOperations<Buffer<T>> =
-    bufferAlgebra.acos(arg).moveTo(arg.offset)
+    bufferAlgebra.acos(arg).moveTo(arg.startOffset)
 
 public fun <T, BA> SeriesAlgebra<T, *, BA, *>.atan(
     arg: Buffer<T>,
 ): Series<T> where BA : BufferAlgebra<T, *>, BA : TrigonometricOperations<Buffer<T>> =
-    bufferAlgebra.atan(arg).moveTo(arg.offset)
+    bufferAlgebra.atan(arg).moveTo(arg.startOffset)
 
 
 //exponential
@@ -45,42 +45,42 @@ public fun <T, BA> SeriesAlgebra<T, *, BA, *>.atan(
 public fun <T, BA> SeriesAlgebra<T, *, BA, *>.exp(
     arg: Buffer<T>,
 ): Series<T> where BA : BufferAlgebra<T, *>, BA : ExponentialOperations<Buffer<T>> =
-    bufferAlgebra.exp(arg).moveTo(arg.offset)
+    bufferAlgebra.exp(arg).moveTo(arg.startOffset)
 
 public fun <T, BA> SeriesAlgebra<T, *, BA, *>.ln(
     arg: Buffer<T>,
 ): Series<T> where BA : BufferAlgebra<T, *>, BA : ExponentialOperations<Buffer<T>> =
-    bufferAlgebra.ln(arg).moveTo(arg.offset)
+    bufferAlgebra.ln(arg).moveTo(arg.startOffset)
 
 public fun <T, BA> SeriesAlgebra<T, *, BA, *>.sinh(
     arg: Buffer<T>,
 ): Series<T> where BA : BufferAlgebra<T, *>, BA : ExponentialOperations<Buffer<T>> =
-    bufferAlgebra.sinh(arg).moveTo(arg.offset)
+    bufferAlgebra.sinh(arg).moveTo(arg.startOffset)
 
 public fun <T, BA> SeriesAlgebra<T, *, BA, *>.cosh(
     arg: Buffer<T>,
 ): Series<T> where BA : BufferAlgebra<T, *>, BA : ExponentialOperations<Buffer<T>> =
-    bufferAlgebra.cosh(arg).moveTo(arg.offset)
+    bufferAlgebra.cosh(arg).moveTo(arg.startOffset)
 
 public fun <T, BA> SeriesAlgebra<T, *, BA, *>.tanh(
     arg: Buffer<T>,
 ): Series<T> where BA : BufferAlgebra<T, *>, BA : ExponentialOperations<Buffer<T>> =
-    bufferAlgebra.tanh(arg).moveTo(arg.offset)
+    bufferAlgebra.tanh(arg).moveTo(arg.startOffset)
 
 public fun <T, BA> SeriesAlgebra<T, *, BA, *>.asinh(
     arg: Buffer<T>,
 ): Series<T> where BA : BufferAlgebra<T, *>, BA : ExponentialOperations<Buffer<T>> =
-    bufferAlgebra.asinh(arg).moveTo(arg.offset)
+    bufferAlgebra.asinh(arg).moveTo(arg.startOffset)
 
 public fun <T, BA> SeriesAlgebra<T, *, BA, *>.acosh(
     arg: Buffer<T>,
 ): Series<T> where BA : BufferAlgebra<T, *>, BA : ExponentialOperations<Buffer<T>> =
-    bufferAlgebra.acosh(arg).moveTo(arg.offset)
+    bufferAlgebra.acosh(arg).moveTo(arg.startOffset)
 
 public fun <T, BA> SeriesAlgebra<T, *, BA, *>.atanh(
     arg: Buffer<T>,
 ): Series<T> where BA : BufferAlgebra<T, *>, BA : ExponentialOperations<Buffer<T>> =
-    bufferAlgebra.atanh(arg).moveTo(arg.offset)
+    bufferAlgebra.atanh(arg).moveTo(arg.startOffset)
 
 
 //power
@@ -89,9 +89,9 @@ public fun <T, BA> SeriesAlgebra<T, *, BA, *>.power(
     arg: Buffer<T>,
     pow: Number,
 ): Series<T> where BA : BufferAlgebra<T, *>, BA : PowerOperations<Buffer<T>> =
-    bufferAlgebra.power(arg, pow).moveTo(arg.offset)
+    bufferAlgebra.power(arg, pow).moveTo(arg.startOffset)
 
 public fun <T, BA> SeriesAlgebra<T, *, BA, *>.sqrt(
     arg: Buffer<T>,
 ): Series<T> where BA : BufferAlgebra<T, *>, BA : PowerOperations<Buffer<T>> =
-    bufferAlgebra.sqrt(arg).moveTo(arg.offset)
+    bufferAlgebra.sqrt(arg).moveTo(arg.startOffset)

kmath-trajectory/build.gradle.kts

@@ -15,7 +15,7 @@ kscience{
 }
 
 readme {
-    description = "Path and trajectory optimization"
-    maturity = space.kscience.gradle.Maturity.PROTOTYPE
+    description = "Path and trajectory optimization (to be moved to a separate project)"
+    maturity = space.kscience.gradle.Maturity.DEPRECATED
     propertyByTemplate("artifact", rootProject.file("docs/templates/ARTIFACT-TEMPLATE.md"))
 }