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package coffee.liz.rookery
import coffee.liz.rookery.model.DNF
import coffee.liz.rookery.model.formatTime
import coffee.liz.rookery.stats.Averages
import coffee.liz.rookery.stats.StatKind
import coffee.liz.rookery.stats.StatSummary
import coffee.liz.rookery.stats.newPersonalBests
import kotlin.test.Test
import kotlin.test.assertEquals
import kotlin.test.assertNull
class StatsTest {
@Test fun ao5TrimsBestAndWorst() {
assertEquals(12000, Averages.average(listOf(10000, 11000, 12000, 13000, 20000)))
assertEquals(12000, Averages.average(listOf(10000, 11000, 12000, 13000, DNF)))
assertEquals(DNF, Averages.average(listOf(10000, 11000, 12000, DNF, DNF)))
}
@Test fun trimCounts() {
assertEquals(1, Averages.trim(5)); assertEquals(1, Averages.trim(12))
assertEquals(3, Averages.trim(50)); assertEquals(5, Averages.trim(100)); assertEquals(50, Averages.trim(1000))
}
@Test fun mo3AnyDnfIsDnf() {
assertEquals(DNF, Averages.mean(listOf(1, 2, DNF)))
assertEquals(2, Averages.mean(listOf(1, 2, 3)))
}
@Test fun slidingBestMatchesBruteForce() {
val rng = kotlin.random.Random(42)
val xs = List(300) { if (rng.nextInt(20) == 0) DNF else rng.nextLong(8000, 20000) }
for (n in listOf(5, 12, 100)) {
val brute = (0..xs.size - n).minOf { Averages.average(xs.subList(it, it + n)) }
assertEquals(brute, Averages.best(xs, n))
}
assertEquals((0..xs.size - 3).minOf { Averages.mean(xs.subList(it, it + 3)) }, Averages.best(xs, 3, mean = true))
}
@Test fun personalBestsFromLatestSolve() {
val before = listOf(15000L, 14000, 16000, 15500, 14500)
val after = before + 11000L
val pbs = newPersonalBests(StatSummary.of(before), StatSummary.of(after)).map { it.kind }
assertEquals(listOf(StatKind.SINGLE, StatKind.MO3, StatKind.AO5), pbs)
assertNull(newPersonalBests(StatSummary.of(after), StatSummary.of(after + 30000L)).firstOrNull { it.kind == StatKind.SINGLE })
}
@Test fun formatting() {
assertEquals("9.99", formatTime(9999))
assertEquals("10.00", formatTime(9999, round = true))
assertEquals("1:02.34", formatTime(62345))
assertEquals("DNF", formatTime(DNF))
}
}
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