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Implement Commons RNG-like samplers in kmath-prob module for Multiplatform #164

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CommanderTvis merged 44 commits from feature/mp-samplers into dev 2021-03-31 09:25:44 +03:00
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kmath-prob/src/commonMain/kotlin/scientifik/kmath/prob/samplers/InternalUtils.kt
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@ -18,24 +18,6 @@ internal object InternalUtils {
fun factorial(n: Int): Long = FACTORIALS[n] fun factorial(n: Int): Long = FACTORIALS[n]
fun validateProbabilities(probabilities: DoubleArray): Double {
require(probabilities.isNotEmpty()) { "Probabilities must not be empty." }
var sumProb = 0.0
probabilities.forEach { prob ->
validateProbability(prob)
sumProb += prob
}
require(!(sumProb.isInfinite() || sumProb <= 0)) { "Invalid sum of probabilities: $sumProb" }
return sumProb
}
private fun validateProbability(probability: Double): Unit =
require(!(probability < 0 || probability.isInfinite() || probability.isNaN())) {
"Invalid probability: $probability"
}
class FactorialLog private constructor( class FactorialLog private constructor(
numValues: Int, numValues: Int,
cache: DoubleArray? cache: DoubleArray?
@ -64,9 +46,6 @@ internal object InternalUtils {
} }
} }
fun withCache(cacheSize: Int): FactorialLog =
FactorialLog(cacheSize, logFactorials)
fun value(n: Int): Double { fun value(n: Int): Double {
if (n < logFactorials.size) if (n < logFactorials.size)
return logFactorials[n] return logFactorials[n]