forked from kscience/kmath
Grid generators moved to kmath-for-real
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commit
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@ -15,6 +15,7 @@
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- `Fitting` utility object in prob/stat
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- ND4J support module submitting `NDStructure` and `NDAlgebra` over `INDArray`.
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- Coroutine-deterministic Monte-Carlo scope with a random number generator.
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- Some minor utilities to `kmath-for-real`.
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### Changed
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- Package changed from `scientifik` to `kscience.kmath`.
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@ -25,12 +26,14 @@
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- `kmath-ast` doesn't depend on heavy `kotlin-reflect` library.
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- Full autodiff refactoring based on `Symbol`
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- `kmath-prob` renamed to `kmath-stat`
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- Grid generators moved to `kmath-for-real`
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### Deprecated
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### Removed
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- `kmath-koma` module because it doesn't support Kotlin 1.4.
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- Support of `legacy` JS backend (we will support only IR)
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- `toGrid` method.
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### Fixed
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- `symbol` method in `MstExtendedField` (https://github.com/mipt-npm/kmath/pull/140)
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@ -4,7 +4,7 @@ plugins {
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id("ru.mipt.npm.project")
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}
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internal val kmathVersion: String by extra("0.2.0-dev-3")
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internal val kmathVersion: String by extra("0.2.0-dev-4")
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internal val bintrayRepo: String by extra("kscience")
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internal val githubProject: String by extra("kmath")
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@ -5,19 +5,19 @@ package kscience.kmath.structures
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*
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* @property array the underlying array.
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*/
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@Suppress("OVERRIDE_BY_INLINE")
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public inline class RealBuffer(public val array: DoubleArray) : MutableBuffer<Double> {
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override val size: Int get() = array.size
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override operator fun get(index: Int): Double = array[index]
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override inline operator fun get(index: Int): Double = array[index]
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override operator fun set(index: Int, value: Double) {
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override inline operator fun set(index: Int, value: Double) {
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array[index] = value
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}
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override operator fun iterator(): DoubleIterator = array.iterator()
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override fun copy(): MutableBuffer<Double> =
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RealBuffer(array.copyOf())
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override fun copy(): RealBuffer = RealBuffer(array.copyOf())
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}
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/**
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@ -34,6 +34,11 @@ public inline fun RealBuffer(size: Int, init: (Int) -> Double): RealBuffer = Rea
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*/
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public fun RealBuffer(vararg doubles: Double): RealBuffer = RealBuffer(doubles)
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/**
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* Simplified [RealBuffer] to array comparison
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*/
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public fun RealBuffer.contentEquals(vararg doubles: Double): Boolean = array.contentEquals(doubles)
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/**
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* Returns a [DoubleArray] containing all of the elements of this [MutableBuffer].
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*/
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@ -14,8 +14,9 @@ import kotlin.math.sqrt
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public typealias RealPoint = Point<Double>
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public fun DoubleArray.asVector(): RealVector = RealVector(asBuffer())
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public fun List<Double>.asVector(): RealVector = RealVector(asBuffer())
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public fun RealPoint.asVector(): RealVector = RealVector(this)
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public fun DoubleArray.asVector(): RealVector = asBuffer().asVector()
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public fun List<Double>.asVector(): RealVector = asBuffer().asVector()
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public object VectorL2Norm : Norm<Point<out Number>, Double> {
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override fun norm(arg: Point<out Number>): Double = sqrt(arg.asIterable().sumByDouble(Number::toDouble))
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@ -1,5 +1,7 @@
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package kscience.kmath.misc
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package kscience.kmath.real
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import kscience.kmath.linear.Point
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import kscience.kmath.structures.asBuffer
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import kotlin.math.abs
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/**
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@ -32,6 +34,9 @@ public fun ClosedFloatingPointRange<Double>.toSequenceWithStep(step: Double): Se
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}
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}
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public infix fun ClosedFloatingPointRange<Double>.step(step: Double): Point<Double> =
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toSequenceWithStep(step).toList().asBuffer()
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/**
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* Convert double range to sequence with the fixed number of points
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*/
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@ -39,12 +44,3 @@ public fun ClosedFloatingPointRange<Double>.toSequenceWithPoints(numPoints: Int)
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require(numPoints > 1) { "The number of points should be more than 2" }
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return toSequenceWithStep(abs(endInclusive - start) / (numPoints - 1))
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}
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/**
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* Convert double range to array of evenly spaced doubles, where the size of array equals [numPoints]
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*/
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@Deprecated("Replace by 'toSequenceWithPoints'")
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public fun ClosedFloatingPointRange<Double>.toGrid(numPoints: Int): DoubleArray {
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require(numPoints >= 2) { "Can't create generic grid with less than two points" }
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return DoubleArray(numPoints) { i -> start + (endInclusive - start) / (numPoints - 1) * i }
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}
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@ -1,8 +0,0 @@
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package kscience.kmath.real
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import kscience.kmath.structures.RealBuffer
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/**
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* Simplified [RealBuffer] to array comparison
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*/
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public fun RealBuffer.contentEquals(vararg doubles: Double): Boolean = array.contentEquals(doubles)
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@ -0,0 +1,13 @@
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package kaceince.kmath.real
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import kscience.kmath.real.step
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import kotlin.test.Test
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import kotlin.test.assertEquals
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class GridTest {
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@Test
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fun testStepGrid(){
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val grid = 0.0..1.0 step 0.2
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assertEquals(6, grid.size)
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}
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}
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@ -1,9 +1,10 @@
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package scientific.kmath.real
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package kaceince.kmath.real
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import kscience.kmath.linear.VirtualMatrix
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import kscience.kmath.linear.build
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import kscience.kmath.real.*
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import kscience.kmath.structures.Matrix
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import kscience.kmath.structures.contentEquals
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import kotlin.test.Test
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import kotlin.test.assertEquals
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import kotlin.test.assertTrue
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@ -1,11 +1,14 @@
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package kscience.kmath.linear
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package kaceince.kmath.real
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import kscience.kmath.linear.MatrixContext
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import kscience.kmath.linear.asMatrix
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import kscience.kmath.linear.transpose
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import kscience.kmath.operations.invoke
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import kscience.kmath.real.RealVector
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import kotlin.test.Test
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import kotlin.test.assertEquals
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internal class VectorTest {
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internal class RealVectorTest {
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@Test
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fun testSum() {
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val vector1 = RealVector(5) { it.toDouble() }
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@ -8,8 +8,8 @@ pluginManagement {
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maven("https://dl.bintray.com/kotlin/kotlinx")
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}
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val toolsVersion = "0.6.4-dev-1.4.20-M2"
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val kotlinVersion = "1.4.20-M2"
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val toolsVersion = "0.7.0"
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val kotlinVersion = "1.4.20"
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plugins {
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id("kotlinx.benchmark") version "0.2.0-dev-20"
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@ -17,7 +17,7 @@ pluginManagement {
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id("ru.mipt.npm.mpp") version toolsVersion
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id("ru.mipt.npm.jvm") version toolsVersion
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id("ru.mipt.npm.publish") version toolsVersion
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kotlin("jvm") version kotlinVersion
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kotlin("jvm") version kotlinVersion
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kotlin("plugin.allopen") version kotlinVersion
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}
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}
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