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implement and test pure API to glicko rating computation
for a single game only. multiple games require some way to uniquely identify players.
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,135 @@ | ||
| package chess | ||
| package glicko | ||
|
|
||
| import munit.ScalaCheckSuite | ||
|
|
||
| class GlickoCalculatorTest extends ScalaCheckSuite with MunitExtensions: | ||
|
|
||
| val calc = GlickoCalculator: | ||
| Config( | ||
| ratingPeriodsPerDay = impl.RatingPeriodsPerDay(0.21436d) | ||
| ) | ||
|
|
||
| def computeGame(players: ByColor[Player], outcome: Outcome) = | ||
| calc.computeGame(Game(players, outcome), skipDeviationIncrease = true).toPair | ||
|
|
||
| { | ||
| val players = ByColor.fill: | ||
| Player( | ||
| rating = 1500d, | ||
| ratingDeviation = 500d, | ||
| volatility = 0.09d, | ||
| numberOfResults = 0, | ||
| lastRatingPeriodEnd = None | ||
| ) | ||
| test("default deviation: white wins"): | ||
| val (w, b) = computeGame(players, Outcome.white) | ||
| assertCloseTo(w.rating, 1741d, 1d) | ||
| assertCloseTo(b.rating, 1258d, 1d) | ||
| assertCloseTo(w.ratingDeviation, 396d, 1d) | ||
| assertCloseTo(b.ratingDeviation, 396d, 1d) | ||
| assertCloseTo(w.volatility, 0.0899983, 0.00000001d) | ||
| assertCloseTo(b.volatility, 0.0899983, 0.0000001d) | ||
| test("default deviation: black wins"): | ||
| val (w, b) = computeGame(players, Outcome.black) | ||
| assertCloseTo(w.rating, 1258d, 1d) | ||
| assertCloseTo(b.rating, 1741d, 1d) | ||
| assertCloseTo(w.ratingDeviation, 396d, 1d) | ||
| assertCloseTo(b.ratingDeviation, 396d, 1d) | ||
| assertCloseTo(w.volatility, 0.0899983, 0.00000001d) | ||
| assertCloseTo(b.volatility, 0.0899983, 0.0000001d) | ||
| test("default deviation: draw"): | ||
| val (w, b) = computeGame(players, Outcome.draw) | ||
| assertCloseTo(w.rating, 1500d, 1d) | ||
| assertCloseTo(b.rating, 1500d, 1d) | ||
| assertCloseTo(w.ratingDeviation, 396d, 1d) | ||
| assertCloseTo(b.ratingDeviation, 396d, 1d) | ||
| assertCloseTo(w.volatility, 0.0899954, 0.0000001d) | ||
| assertCloseTo(b.volatility, 0.0899954, 0.0000001d) | ||
| } | ||
|
|
||
| { | ||
| val players = ByColor( | ||
| Player( | ||
| rating = 1400d, | ||
| ratingDeviation = 79d, | ||
| volatility = 0.06d, | ||
| numberOfResults = 0, | ||
| lastRatingPeriodEnd = None | ||
| ), | ||
| Player( | ||
| rating = 1550d, | ||
| ratingDeviation = 110d, | ||
| volatility = 0.065d, | ||
| numberOfResults = 0, | ||
| lastRatingPeriodEnd = None | ||
| ) | ||
| ) | ||
| test("mixed ratings and deviations: white wins"): | ||
| val (w, b) = computeGame(players, Outcome.white) | ||
| assertCloseTo(w.rating, 1422d, 1d) | ||
| assertCloseTo(b.rating, 1506d, 1d) | ||
| assertCloseTo(w.ratingDeviation, 77d, 1d) | ||
| assertCloseTo(b.ratingDeviation, 105d, 1d) | ||
| assertCloseTo(w.volatility, 0.06, 0.00001d) | ||
| assertCloseTo(b.volatility, 0.065, 0.00001d) | ||
| test("mixed ratings and deviations: black wins"): | ||
| val (w, b) = computeGame(players, Outcome.black) | ||
| assertCloseTo(w.rating, 1389d, 1d) | ||
| assertCloseTo(b.rating, 1568d, 1d) | ||
| assertCloseTo(w.ratingDeviation, 78d, 1d) | ||
| assertCloseTo(b.ratingDeviation, 105d, 1d) | ||
| assertCloseTo(w.volatility, 0.06, 0.00001d) | ||
| assertCloseTo(b.volatility, 0.065, 0.00001d) | ||
| test("mixed ratings and deviations: draw"): | ||
| val (w, b) = computeGame(players, Outcome.draw) | ||
| assertCloseTo(w.rating, 1406d, 1d) | ||
| assertCloseTo(b.rating, 1537d, 1d) | ||
| assertCloseTo(w.ratingDeviation, 78d, 1d) | ||
| assertCloseTo(b.ratingDeviation, 105.87d, 0.01d) | ||
| assertCloseTo(w.volatility, 0.06, 0.00001d) | ||
| assertCloseTo(b.volatility, 0.065, 0.00001d) | ||
| } | ||
|
|
||
| { | ||
| val players = ByColor( | ||
| Player( | ||
| rating = 1200d, | ||
| ratingDeviation = 60d, | ||
| volatility = 0.053d, | ||
| numberOfResults = 0, | ||
| lastRatingPeriodEnd = None | ||
| ), | ||
| Player( | ||
| rating = 1850d, | ||
| ratingDeviation = 200d, | ||
| volatility = 0.062d, | ||
| numberOfResults = 0, | ||
| lastRatingPeriodEnd = None | ||
| ) | ||
| ) | ||
| test("more mixed ratings and deviations: white wins"): | ||
| val (w, b) = computeGame(players, Outcome.white) | ||
| assertCloseTo(w.rating, 1216.7d, 0.1d) | ||
| assertCloseTo(b.rating, 1636d, 0.1d) | ||
| assertCloseTo(w.ratingDeviation, 59.9d, 0.1d) | ||
| assertCloseTo(b.ratingDeviation, 196.9d, 0.1d) | ||
| assertCloseTo(w.volatility, 0.053013, 0.000001d) | ||
| assertCloseTo(b.volatility, 0.062028, 0.000001d) | ||
| test("more mixed ratings and deviations: black wins"): | ||
| val (w, b) = computeGame(players, Outcome.black) | ||
| assertCloseTo(w.rating, 1199.3d, 0.1d) | ||
| assertCloseTo(b.rating, 1855.4d, 0.1d) | ||
| assertCloseTo(w.ratingDeviation, 59.9d, 0.1d) | ||
| assertCloseTo(b.ratingDeviation, 196.9d, 0.1d) | ||
| assertCloseTo(w.volatility, 0.052999, 0.000001d) | ||
| assertCloseTo(b.volatility, 0.061999, 0.000001d) | ||
| test("more mixed ratings and deviations: draw"): | ||
| val (w, b) = computeGame(players, Outcome.draw) | ||
| assertCloseTo(w.rating, 1208.0, 0.1d) | ||
| assertCloseTo(b.rating, 1745.7, 0.1d) | ||
| assertCloseTo(w.ratingDeviation, 59.90056, 0.1d) | ||
| assertCloseTo(b.ratingDeviation, 196.98729, 0.1d) | ||
| assertCloseTo(w.volatility, 0.053002, 0.000001d) | ||
| assertCloseTo(b.volatility, 0.062006, 0.000001d) | ||
| } |
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