Use parameter barThresholdActive
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@@ -92,16 +92,16 @@ data class GeographicalParams(
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// handicap params
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data class HandicapParams(
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// minimizeHandicap is a secondary criteria but moved here
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val weight: Double = 0.0, // Should be paiSeDefSecCrit for SwCat, 0 for others
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val weight: Double = 0.0, // "Should be paiSeDefSecCrit for SwCat, 0 for others" ; unused for now, swiss with cats not implemented
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val useMMS: Boolean = true, // if useMMS is false, hd will be based on rank
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// Maximum rank used to compute handicap is rankThreshold
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val rankThreshold: Int = 0, // 0 is 1d
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val rankThreshold: Int = 0, // No handicap if at least one player is above this rank (0 is 1d)
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val correction: Int = 1, // Handicap will be decreased by hdCorrection
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val ceiling: Int = 9, // Possible values are between 0 and 9
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) {
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companion object {
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val swissDefault = HandicapParams(
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weight = 0.0, // TODO 'default disables handicap' => seems wrong, not used
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weight = 0.0,
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useMMS = false,
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rankThreshold = -30, // 30k
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ceiling = 0)
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@@ -35,9 +35,9 @@ class MacMahonSolver(round: Int,
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override fun SecondaryCritParams.apply(p1: Pairable, p2: Pairable): Double {
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// Do we apply Secondary Criteria.
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// No player is above thresholds -> apply secondary criteria
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// At least one player is above thresholds -> do not apply
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// Do we apply Secondary Criteria?
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// - no player is above thresholds -> apply secondary criteria
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// - at least one player is above thresholds -> do not apply
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val nbw2Threshold =
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if (nbWinsThresholdActive) totalRounds
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@@ -46,8 +46,10 @@ class MacMahonSolver(round: Int,
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val skipSecondary =
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(2 * p1.nbW >= nbw2Threshold) ||
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(2 * p2.nbW >= nbw2Threshold) ||
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barThresholdActive && (
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(p1.rank + p1.nbW >= mmBar) ||
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(p2.rank + p2.nbW >= mmBar)
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)
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return if (skipSecondary) 0.0
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else pairing.geo.apply(p1, p2)
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