Swiss ready to be tested
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@@ -12,9 +12,7 @@ import java.util.Random
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// TODO - this is only an early draft
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sealed class Pairing(val type: PairingType) {
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companion object {
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val rand = Random(/* seed from properties - TODO */)
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}
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companion object {}
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enum class PairingType { SWISS, MACMAHON, ROUNDROBIN }
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abstract fun pair(tournament: Tournament, round: Int, pairables: List<Pairable>): List<Game>
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@@ -30,7 +28,7 @@ class Swiss(
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val history =
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if (tournament.games.isEmpty()) emptyList()
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else tournament.games.slice(0 until round).flatMap { it.values }
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return SwissSolver(history, actualMethod).pair(pairables)
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return SwissSolver(history, pairables, actualMethod).pair()
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}
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}
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@@ -9,19 +9,23 @@ import org.jgrapht.alg.matching.blossom.v5.ObjectiveSense
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import org.jgrapht.graph.DefaultWeightedEdge
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import org.jgrapht.graph.SimpleWeightedGraph
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import org.jgrapht.graph.builder.GraphBuilder
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import java.util.*
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sealed class Solver(private val history: List<Game>) {
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sealed class Solver(protected val history: List<Game>, protected val pairables: List<Pairable>) {
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companion object {
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val rand = Random(/* seed from properties - TODO */)
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}
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open fun sort(p: Pairable, q: Pairable): Int = 0 // no sort by default
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abstract fun weight(p: Pairable, q: Pairable): Double
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fun pair(pairables: List<Pairable>): List<Game> {
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fun pair(): List<Game> {
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// check that at this stage, we have an even number of pairables
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if (pairables.size % 2 != 0) throw Error("expecting an even number of pairables")
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val sorted = pairables.sortedWith(::sort)
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val builder = GraphBuilder(SimpleWeightedGraph<Pairable, DefaultWeightedEdge>(DefaultWeightedEdge::class.java))
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for (i in sorted.indices) {
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for (j in i + 1 until sorted.size) {
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for (i in sortedPairables.indices) {
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for (j in i + 1 until n) {
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val p = pairables[i]
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val q = pairables[j]
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builder.addEdge(p, q, weight(p, q))
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@@ -38,6 +42,35 @@ sealed class Solver(private val history: List<Game>) {
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return result
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}
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// Calculation parameters
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val n = pairables.size
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// pairables sorted using overloadable sort function
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private val sortedPairables by lazy {
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pairables.sortedWith(::sort)
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}
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// place (among sorted pairables)
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val Pairable.place: Int get() = _place[id]!!
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private val _place by lazy {
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sortedPairables.mapIndexed { index, pairable ->
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Pair(pairable.id, index)
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}.toMap()
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}
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// placeInGroup (of same score) : Pair(place, groupSize)
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val Pairable.placeInGroup: Pair<Int, Int> get() = _placeInGroup[id]!!
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private val _placeInGroup by lazy {
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sortedPairables.groupBy {
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it.score
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}.values.flatMap { group ->
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group.mapIndexed { index, pairable ->
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Pair(pairable.id, Pair(index, group.size))
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}
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}.toMap()
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}
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// already paired players map
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fun Pairable.played(other: Pairable) = _paired.contains(Pair(id, other.id))
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private val _paired: Set<Pair<Int, Int>> by lazy {
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@@ -3,9 +3,14 @@ package org.jeudego.pairgoth.pairing
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import org.jeudego.pairgoth.model.Game
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import org.jeudego.pairgoth.model.Pairable
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import org.jeudego.pairgoth.model.Swiss
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import org.jeudego.pairgoth.model.Swiss.Method.*
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import kotlin.math.abs
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class SwissSolver(history: List<Game>, method: Swiss.Method): Solver(history) {
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class SwissSolver(history: List<Game>, pairables: List<Pairable>, val method: Swiss.Method): Solver(history, pairables) {
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val PLAYED_WEIGHT = 1_000_000.0 // weight if players already met
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val SCORE_WEIGHT = 10_000.0 // weight per difference of score
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val PLACE_WEIGHT = 1_000.0 // weight per difference of place
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override fun sort(p: Pairable, q: Pairable): Int =
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when (p.score) {
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@@ -14,8 +19,20 @@ class SwissSolver(history: List<Game>, method: Swiss.Method): Solver(history) {
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}
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override fun weight(p: Pairable, q: Pairable) = when {
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p.played(q) -> 100_000.0
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p.score != q.score -> abs(p.score - q.score) * 10_000.0
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else -> abs(p.rating - q.rating) * 10.0
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p.played(q) -> PLAYED_WEIGHT
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p.score != q.score -> {
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val placeWeight =
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if (p.score > q.score) (p.placeInGroup.second + q.placeInGroup.first) * PLACE_WEIGHT
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else (q.placeInGroup.second + p.placeInGroup.first) * PLACE_WEIGHT
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abs(p.score - q.score) * SCORE_WEIGHT + placeWeight
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}
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else -> when (method) {
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SPLIT_AND_FOLD ->
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if (p.placeInGroup.first > q.placeInGroup.first) abs(p.placeInGroup.first - (q.placeInGroup.second - q.placeInGroup.first)) * PLACE_WEIGHT
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else abs(q.placeInGroup.first - (p.placeInGroup.second - p.placeInGroup.first)) * PLACE_WEIGHT
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SPLIT_AND_RANDOM -> rand.nextDouble(p.placeInGroup.second.toDouble()) * PLACE_WEIGHT
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SPLIT_AND_SLIP -> abs(abs(p.placeInGroup.first - q.placeInGroup.first) - p.placeInGroup.second) * PLACE_WEIGHT
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else -> throw Error("unhandled case")
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}
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}
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}
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