v0.3.0-dev-18 #459

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altavir merged 64 commits from dev into master 2022-02-13 17:50:34 +03:00
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/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
*/
package space.kscience.kmath.misc
import kotlin.comparisons.*
import space.kscience.kmath.misc.UnstableKMathAPI
import space.kscience.kmath.structures.Buffer
import space.kscience.kmath.structures.indices
/**
* Return a new list filled with buffer indices. Indice order is defined by sorting associated buffer value.
* This feature allows to sort buffer values without reordering its content.
*
* @param descending True to revert sort order from highest to lowest values. Default to ascending order.
* @return List of buffer indices, sorted by associated value.
*/
@PerformancePitfall
@UnstableKMathAPI
public fun <V: Comparable<V>> Buffer<V>.permSort(descending : Boolean = false) : IntArray {
if (size < 2) return IntArray(size)
val comparator = if (descending) compareByDescending<Int> { get(it) } else compareBy<Int> { get(it) }
/* TODO: optimisation : keep a constant big array of indices (Ex: from 0 to 4096), then create indice
* arrays more efficiently by copying subpart of cached one. For bigger needs, we could copy entire
* cached array, then fill remaining indices manually. Not done for now, because:
* 1. doing it right would require some statistics about common used buffer sizes.
* 2. Some benchmark would be needed to ensure it would really provide better performance
*/
val packedIndices = IntArray(size) { idx -> idx }
/* TODO: find an efficient way to sort in-place instead, and return directly the IntArray.
* Not done for now, because no standard utility is provided yet. An open issue exists for this.
* See: https://youtrack.jetbrains.com/issue/KT-37860
*/
return packedIndices.sortedWith(comparator).toIntArray()
}

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/*
* Copyright 2018-2021 KMath contributors.
* Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
*/
package space.kscience.kmath.misc
import kotlin.collections.mutableListOf
import kotlin.random.Random
import kotlin.test.Test
import kotlin.test.assertEquals
import kotlin.test.assertTrue
import kotlin.test.fail
import space.kscience.kmath.structures.IntBuffer
class PermSortTest {
/**
* Permutation on empty buffer should immediately return an empty array.
*/
@Test
fun testOnEmptyBuffer() {
val emptyBuffer = IntBuffer(0) {it}
var permutations = emptyBuffer.permSort()
assertTrue(permutations.isEmpty(), "permutation on an empty buffer should return an empty result")
permutations = emptyBuffer.permSort(true)
assertTrue(permutations.isEmpty(), "permutation on an empty buffer should return an empty result")
}
@Test
fun testOnSingleValueBuffer() {
testPermutation(1)
}
@Test
public fun testOnSomeValues() {
testPermutation(10)
}
private fun testPermutation(bufferSize: Int) {
val seed = Random.nextLong()
println("Test randomization seed: $seed")
val buffer = Random(seed).buffer(bufferSize)
val indices = buffer.permSort()
assertEquals(bufferSize, indices.size)
// Ensure no doublon is present in indices
assertEquals(indices.toSet().size, indices.size)
for (i in 0 until (bufferSize-1)) {
val current = buffer[indices[i]]
val next = buffer[indices[i+1]]
assertTrue(current <= next, "Permutation indices not properly sorted")
}
val descIndices = buffer.permSort(true)
assertEquals(bufferSize, descIndices.size)
// Ensure no doublon is present in indices
assertEquals(descIndices.toSet().size, descIndices.size)
for (i in 0 until (bufferSize-1)) {
val current = buffer[descIndices[i]]
val next = buffer[descIndices[i+1]]
assertTrue(current >= next, "Permutation indices not properly sorted in descending order")
}
}
private fun Random.buffer(size : Int) = IntBuffer(size) { nextInt() }
}