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Histograms refactor

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This commit is contained in:
Alexander Nozik 2021-02-15 09:32:25 +03:00
parent ce18e85a0a
commit d1b4d1ac11
2 changed files with 24 additions and 28 deletions
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19
kmath-histograms/src/jvmMain/kotlin/kscience/kmath/histogram/TreeHistogramSpace.kt
View File

@ -8,7 +8,7 @@ import java.util.*
import kotlin.math.abs
import kotlin.math.sqrt
internal fun <B: ClosedFloatingPointRange<Double>> TreeMap<Double, B>.getBin(value: Double): B? {
private fun <B : ClosedFloatingPointRange<Double>> TreeMap<Double, B>.getBin(value: Double): B? {
// check ceiling entry and return it if it is what needed
val ceil = ceilingEntry(value)?.value
if (ceil != null && value in ceil) return ceil
@ -29,12 +29,9 @@ public class TreeHistogram(
override val bins: Collection<UnivariateBin> get() = binMap.values
}
private class UnivariateBinValue(
override val domain: UnivariateDomain,
override val value: Double,
override val standardDeviation: Double,
) : UnivariateBin, ClosedFloatingPointRange<Double> by domain.range
/**
* A space for univariate histograms with variable bin borders based on a tree map
*/
@UnstableKMathAPI
public class TreeHistogramSpace(
public val binFactory: (Double) -> UnivariateDomain,
@ -73,7 +70,7 @@ public class TreeHistogramSpace(
val resBins = TreeMap<Double, UnivariateBin>()
bins.forEach { key, binCounter ->
val count = binCounter.counter.value
resBins[key] = UnivariateBinValue(binCounter.domain, count, sqrt(count))
resBins[key] = UnivariateBin(binCounter.domain, count, sqrt(count))
}
return TreeHistogram(this, resBins)
}
@ -86,12 +83,14 @@ public class TreeHistogramSpace(
require(b.context == this) { "Histogram $b does not belong to this context" }
val bins = TreeMap<Double, UnivariateBin>().apply {
(a.bins.map { it.domain } union b.bins.map { it.domain }).forEach { def ->
val newBin = UnivariateBinValue(
put(def.center,
UnivariateBin(
def,
value = (a[def.center]?.value ?: 0.0) + (b[def.center]?.value ?: 0.0),
standardDeviation = (a[def.center]?.standardDeviation
?: 0.0) + (b[def.center]?.standardDeviation ?: 0.0)
)
)
}
}
return TreeHistogram(this, bins)
@ -101,7 +100,7 @@ public class TreeHistogramSpace(
val bins = TreeMap<Double, UnivariateBin>().apply {
a.bins.forEach { bin ->
put(bin.domain.center,
UnivariateBinValue(
UnivariateBin(
bin.domain,
value = bin.value * k.toDouble(),
standardDeviation = abs(bin.standardDeviation * k.toDouble())

21
kmath-histograms/src/jvmMain/kotlin/kscience/kmath/histogram/UnivariateHistogram.kt
View File

@ -10,26 +10,23 @@ import kscience.kmath.structures.asSequence
public val UnivariateDomain.center: Double get() = (range.endInclusive - range.start) / 2
public interface UnivariateBin : Bin<Double>, ClosedFloatingPointRange<Double> {
public val domain: UnivariateDomain
/**
* The value of histogram including weighting
* A univariate bin based an a range
* @param value The value of histogram including weighting
* @param standardDeviation Standard deviation of the bin value. Zero or negative if not applicable
*/
public override val value: Double
/**
* Standard deviation of the bin value. Zero if not applicable
*/
public val standardDeviation: Double
public class UnivariateBin(
public val domain: UnivariateDomain,
override val value: Double,
public val standardDeviation: Double,
) : Bin<Double>, ClosedFloatingPointRange<Double> by domain.range {
public override val dimension: Int get() = 1
public override fun contains(point: Buffer<Double>): Boolean = point.size == 1 && contains(point[0])
}
@UnstableKMathAPI
@OptIn(UnstableKMathAPI::class)
public interface UnivariateHistogram : Histogram<Double, UnivariateBin>,
SpaceElement<UnivariateHistogram, Space<UnivariateHistogram>> {
public operator fun get(value: Double): UnivariateBin?