Removed old weights log feature
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@@ -125,7 +125,6 @@ sealed class Solver(
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abstract val mainLimits: Pair<Double, Double>
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// SOS and variants will be computed based on this score
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fun pair(): List<Game> {
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weightLogs.clear()
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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 builder = GraphBuilder(SimpleDirectedWeightedGraph<Pairable, DefaultWeightedEdge>(DefaultWeightedEdge::class.java))
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@@ -161,8 +160,6 @@ sealed class Solver(
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File(WEIGHTS_FILE).appendText("secHandiCost="+dec.format(pairing.handicap.handicap(p, q))+"\n")
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File(WEIGHTS_FILE).appendText("secGeoCost="+dec.format(pairing.geo.apply(p, q))+"\n")
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File(WEIGHTS_FILE).appendText("totalCost="+dec.format(openGothaWeight(p,q))+"\n")
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logWeights("total", p, q, weight(p,q))
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}
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}
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}
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@@ -186,19 +183,6 @@ sealed class Solver(
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}
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var weightLogs: MutableMap<String, Array<DoubleArray>> = mutableMapOf()
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fun logWeights(weightName: String, p1: Pairable, p2: Pairable, weight: Double) {
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if (DEBUG_EXPORT_WEIGHT) {
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if (!weightLogs.contains(weightName)) {
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weightLogs[weightName] = Array(pairables.size) { DoubleArray(pairables.size) }
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}
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val pos1: Int = logSortedPairablesMap[p1]!!
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val pos2: Int = logSortedPairablesMap[p2]!!
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weightLogs[weightName]!![pos1][pos2] = weight
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}
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}
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// base criteria
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open fun BaseCritParams.apply(p1: Pairable, p2: Pairable): Double {
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@@ -218,14 +202,12 @@ sealed class Solver(
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open fun BaseCritParams.avoidDuplicatingGames(p1: Pairable, p2: Pairable): Double {
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val score = if (p1.played(p2)) 0.0 // We get no score if pairables already played together
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else dupWeight
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logWeights("avoiddup", p1, p2, score)
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return score
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}
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open fun BaseCritParams.applyRandom(p1: Pairable, p2: Pairable): Double {
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val score = if (deterministic) detRandom(random, p1, p2)
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else nonDetRandom(random)
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logWeights("random", p1, p2, score)
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return score
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}
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@@ -240,7 +222,6 @@ sealed class Solver(
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if (wb1 * wb2 < 0) colorBalanceWeight
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else if (wb1 == 0 && abs(wb2) >= 2 || wb2 == 0 && abs(wb1) >= 2) colorBalanceWeight / 2 else 0.0
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} else 0.0
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logWeights("color", p1, p2, score)
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return score
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}
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@@ -281,7 +262,6 @@ sealed class Solver(
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score = scoreWeight * (1.0 - x) * (1.0 + k * x)
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}
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logWeights("score", p1, p2, score)
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return score
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}
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@@ -408,7 +388,6 @@ sealed class Solver(
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}
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}
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}
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logWeights("seed", p1, p2, score)
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return Math.round(score).toDouble()
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}
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