forked from kscience/kmath
Experimental type-safe dimensions
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@ -1,4 +1,4 @@
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val kmathVersion by extra("0.1.3-dev-1")
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val kmathVersion by extra("0.1.3-dev-2")
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allprojects {
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repositories {
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@ -7,7 +7,7 @@ repositories {
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jcenter()
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}
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val kotlinVersion = "1.3.31"
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val kotlinVersion = "1.3.40"
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// Add plugins used in buildSrc as dependencies, also we should specify version only here
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dependencies {
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14
kmath-dimensions/build.gradle.kts
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14
kmath-dimensions/build.gradle.kts
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plugins {
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`npm-multiplatform`
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}
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description = "A proof of concept module for adding typ-safe dimensions to structures"
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kotlin.sourceSets {
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commonMain {
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dependencies {
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implementation(kotlin("reflect"))
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api(project(":kmath-core"))
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}
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}
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}
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package scientifik.kmath.dimensions
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interface Dimension {
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val dim: UInt
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companion object {
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inline fun of(dim: UInt): Dimension {
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return when (dim) {
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1u -> D1
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2u -> D2
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3u -> D3
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else -> object : Dimension {
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override val dim: UInt = dim
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}
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}
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}
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inline fun <reified D: Dimension> dim(): UInt{
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return D::class.objectInstance!!.dim
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}
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}
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}
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object D1 : Dimension {
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override val dim: UInt = 1u
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}
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object D2 : Dimension {
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override val dim: UInt = 2u
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}
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object D3 : Dimension {
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override val dim: UInt = 3u
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}
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package scientifik.kmath.dimensions
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import scientifik.kmath.linear.GenericMatrixContext
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import scientifik.kmath.linear.MatrixContext
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import scientifik.kmath.linear.Point
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import scientifik.kmath.linear.transpose
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import scientifik.kmath.operations.Ring
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import scientifik.kmath.structures.Matrix
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import scientifik.kmath.structures.Structure2D
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interface DMatrix<T, R : Dimension, C : Dimension> : Structure2D<T> {
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companion object {
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/**
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* Coerces a regular matrix to a matrix with type-safe dimensions and throws a error if coercion failed
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*/
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inline fun <T, reified R : Dimension, reified C : Dimension> coerce(structure: Structure2D<T>): DMatrix<T, R, C> {
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if (structure.rowNum != Dimension.dim<R>().toInt()) error("Row number mismatch: expected ${Dimension.dim<R>()} but found ${structure.rowNum}")
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if (structure.colNum != Dimension.dim<C>().toInt()) error("Column number mismatch: expected ${Dimension.dim<C>()} but found ${structure.colNum}")
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return DMatrixWrapper(structure)
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}
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/**
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* The same as [coerce] but without dimension checks. Use with caution
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*/
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inline fun <T, reified R : Dimension, reified C : Dimension> coerceUnsafe(structure: Structure2D<T>): DMatrix<T, R, C> {
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return DMatrixWrapper(structure)
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}
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}
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}
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inline class DMatrixWrapper<T, R : Dimension, C : Dimension>(
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val structure: Structure2D<T>
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) : DMatrix<T, R, C> {
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override val shape: IntArray get() = structure.shape
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override fun get(i: Int, j: Int): T = structure[i, j]
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}
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interface DPoint<T, D : Dimension> : Point<T> {
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companion object {
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inline fun <T, reified D : Dimension> coerce(point: Point<T>): DPoint<T, D> {
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if (point.size != Dimension.dim<D>().toInt()) error("Vector dimension mismatch: expected ${Dimension.dim<D>()}, but found ${point.size}")
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return DPointWrapper(point)
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}
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inline fun <T, reified D : Dimension> coerceUnsafe(point: Point<T>): DPoint<T, D> {
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return DPointWrapper(point)
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}
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}
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}
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inline class DPointWrapper<T, D : Dimension>(val point: Point<T>) : DPoint<T, D> {
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override val size: Int get() = point.size
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override fun get(index: Int): T = point[index]
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override fun iterator(): Iterator<T> = point.iterator()
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}
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/**
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* Basic operations on matrices. Operates on [Matrix]
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*/
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inline class DMatrixContext<T : Any, Ri : Ring<T>>(val context: GenericMatrixContext<T, Ri>) {
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inline fun <reified R : Dimension, reified C : Dimension> Matrix<T>.coerce(): DMatrix<T, C, R> =
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DMatrix.coerceUnsafe(this)
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/**
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* Produce a matrix with this context and given dimensions
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*/
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inline fun <reified R : Dimension, reified C : Dimension> produce(noinline initializer: (i: Int, j: Int) -> T): DMatrix<T, R, C> {
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val rows = Dimension.dim<R>()
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val cols = Dimension.dim<C>()
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return context.produce(rows.toInt(), cols.toInt(), initializer).coerce()
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}
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inline fun <reified D : Dimension> point(noinline initializer: (Int) -> T): DPoint<T, D> {
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val size = Dimension.dim<D>()
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return DPoint.coerceUnsafe(context.point(size.toInt(), initializer))
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}
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inline infix fun <reified R1 : Dimension, reified C1 : Dimension, reified C2 : Dimension> DMatrix<T, R1, C1>.dot(
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other: DMatrix<T, C1, C2>
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): DMatrix<T, R1, C2> {
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return context.run { this@dot dot other }.coerce()
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}
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inline infix fun <reified R : Dimension, reified C : Dimension> DMatrix<T, R, C>.dot(vector: DPoint<T, C>): DPoint<T, R> {
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return DPoint.coerceUnsafe(context.run { this@dot dot vector })
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}
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inline operator fun <reified R : Dimension, reified C : Dimension> DMatrix<T, R, C>.times(value: T): DMatrix<T, R, C> {
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return context.run { this@times.times(value) }.coerce()
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}
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inline operator fun <reified R : Dimension, reified C : Dimension> T.times(m: DMatrix<T, R, C>): DMatrix<T, R, C> =
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m * this
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inline operator fun <reified R : Dimension, reified C : Dimension> DMatrix<T, C, R>.plus(other: DMatrix<T, C, R>): DMatrix<T, C, R> {
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return context.run { this@plus + other }.coerce()
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}
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inline operator fun <reified R : Dimension, reified C : Dimension> DMatrix<T, C, R>.minus(other: DMatrix<T, C, R>): DMatrix<T, C, R> {
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return context.run { this@minus + other }.coerce()
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}
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inline operator fun <reified R : Dimension, reified C : Dimension> DMatrix<T, C, R>.unaryMinus(): DMatrix<T, C, R> {
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return context.run { this@unaryMinus.unaryMinus() }.coerce()
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}
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inline fun <reified R : Dimension, reified C : Dimension> DMatrix<T, C, R>.transpose(): DMatrix<T, R, C> {
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return context.run { (this@transpose as Matrix<T>).transpose() }.coerce()
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}
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/**
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* A square unit matrix
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*/
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inline fun <reified D : Dimension> one(): DMatrix<T, D, D> = produce { i, j ->
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if (i == j) context.elementContext.one else context.elementContext.zero
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}
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inline fun <reified R : Dimension, reified C : Dimension> zero(): DMatrix<T, R, C> = produce { _, _ ->
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context.elementContext.zero
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}
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companion object {
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val real = DMatrixContext(MatrixContext.real)
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}
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}
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package scientifik.kmath.dimensions
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import kotlin.test.Test
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class DMatrixContextTest {
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@Test
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fun testDimensionSafeMatrix() {
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val res = DMatrixContext.real.run {
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val m = produce<D2, D2> { i, j -> (i + j).toDouble() }
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//The dimension of `one()` is inferred from type
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(m + one())
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}
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}
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@Test
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fun testTypeCheck() {
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val res = DMatrixContext.real.run {
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val m1 = produce<D2, D3> { i, j -> (i + j).toDouble() }
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val m2 = produce<D3, D2> { i, j -> (i + j).toDouble() }
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//Dimension-safe addition
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m1.transpose() + m2
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}
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}
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}
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":kmath-commons",
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":kmath-koma",
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":kmath-prob",
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":kmath-dimensions",
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":examples"
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)
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