forked from kscience/kmath
Changed tests
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/*
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* Copyright 2018-2023 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.structures
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import space.kscience.kmath.operations.DoubleField
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import space.kscience.kmath.operations.buffer
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import space.kscience.kmath.operations.bufferAlgebra
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import space.kscience.kmath.operations.withSize
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//inline fun <reified R : Any> MutableBuffer.Companion.same(
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// n: Int,
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// value: R
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//): MutableBuffer<R> = auto(n) { value }
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fun main() {
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with(DoubleField.bufferAlgebra.withSize(5)) {
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println(number(2.0) + buffer(1, 2, 10, 4, 9))
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}
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}
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package space.kscience.kmath.series
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package space.kscience.kmath.series
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import space.kscience.kmath.nd.*
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import space.kscience.kmath.nd.*
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import space.kscience.kmath.operations.DoubleField
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import space.kscience.kmath.operations.algebra
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import space.kscience.kmath.operations.algebra
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import space.kscience.kmath.operations.bufferAlgebra
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import space.kscience.kmath.operations.bufferAlgebra
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import space.kscience.kmath.structures.DoubleBuffer
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import space.kscience.kmath.structures.asBuffer
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import space.kscience.kmath.structures.asBuffer
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import kotlin.test.Test
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import kotlin.test.Test
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import kotlin.test.assertEquals
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class DTWTest {
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class DTWTest {
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@Test
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@Test
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fun someData() : Unit {
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fun someData() : Unit {
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with(Double.algebra.bufferAlgebra) {
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with(Double.algebra.bufferAlgebra.seriesAlgebra()) {
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val firstSequence: DoubleArray = doubleArrayOf(0.0, 2.0, 3.0, 1.0, 3.0, 0.1, 0.0, 1.0)
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val firstSequence: DoubleArray = doubleArrayOf(0.0, 2.0, 3.0, 1.0, 3.0, 0.1, 0.0, 1.0)
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val secondSequence: DoubleArray = doubleArrayOf(1.0, 0.0, 3.0, 0.0, 0.0, 3.0, 2.0, 0.0, 2.0)
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val secondSequence: DoubleArray = doubleArrayOf(1.0, 0.0, 3.0, 0.0, 0.0, 3.0, 2.0, 0.0, 2.0)
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val seriesOne: DoubleBuffer = firstSequence.asBuffer()
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val seriesOne: Series<Double> = firstSequence.asBuffer().moveTo(0)
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val seriesTwo: DoubleBuffer = secondSequence.asBuffer()
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val seriesTwo: Series<Double> = secondSequence.asBuffer().moveTo(0)
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val result = dynamicTimeWarping(seriesOne, seriesTwo)
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val result = DoubleFieldOpsND.dynamicTimeWarping(seriesOne, seriesTwo)
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println("Total penalty coefficient: ${result.totalCost}")
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println("Total penalty coefficient: ${result.totalCost}")
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print("Alignment: ")
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print("Alignment: ")
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println(result.alignMatrix)
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println(result.alignMatrix)
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for ((i , j) in result.alignMatrix.indices) {
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for ((i , j) in result.alignMatrix.indices) {
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if (result.alignMatrix[i, j] == 1) {
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if (result.alignMatrix[i, j] > 0.0) {
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print("[$i, $j] ")
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print("[$i, $j] ")
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}
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}
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}
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}
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}
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}
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}
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}
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