v0.2.0 #206
@ -8,7 +8,7 @@ import java.util.*
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import kotlin.math.abs
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import kotlin.math.abs
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import kotlin.math.sqrt
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import kotlin.math.sqrt
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internal fun <B: ClosedFloatingPointRange<Double>> TreeMap<Double, B>.getBin(value: Double): B? {
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private fun <B : ClosedFloatingPointRange<Double>> TreeMap<Double, B>.getBin(value: Double): B? {
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// check ceiling entry and return it if it is what needed
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// check ceiling entry and return it if it is what needed
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val ceil = ceilingEntry(value)?.value
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val ceil = ceilingEntry(value)?.value
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if (ceil != null && value in ceil) return ceil
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if (ceil != null && value in ceil) return ceil
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@ -29,12 +29,9 @@ public class TreeHistogram(
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override val bins: Collection<UnivariateBin> get() = binMap.values
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override val bins: Collection<UnivariateBin> get() = binMap.values
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}
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}
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private class UnivariateBinValue(
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/**
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override val domain: UnivariateDomain,
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* A space for univariate histograms with variable bin borders based on a tree map
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override val value: Double,
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*/
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override val standardDeviation: Double,
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) : UnivariateBin, ClosedFloatingPointRange<Double> by domain.range
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@UnstableKMathAPI
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@UnstableKMathAPI
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public class TreeHistogramSpace(
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public class TreeHistogramSpace(
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public val binFactory: (Double) -> UnivariateDomain,
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public val binFactory: (Double) -> UnivariateDomain,
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@ -73,7 +70,7 @@ public class TreeHistogramSpace(
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val resBins = TreeMap<Double, UnivariateBin>()
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val resBins = TreeMap<Double, UnivariateBin>()
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bins.forEach { key, binCounter ->
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bins.forEach { key, binCounter ->
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val count = binCounter.counter.value
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val count = binCounter.counter.value
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resBins[key] = UnivariateBinValue(binCounter.domain, count, sqrt(count))
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resBins[key] = UnivariateBin(binCounter.domain, count, sqrt(count))
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}
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}
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return TreeHistogram(this, resBins)
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return TreeHistogram(this, resBins)
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}
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}
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@ -86,12 +83,14 @@ public class TreeHistogramSpace(
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require(b.context == this) { "Histogram $b does not belong to this context" }
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require(b.context == this) { "Histogram $b does not belong to this context" }
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val bins = TreeMap<Double, UnivariateBin>().apply {
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val bins = TreeMap<Double, UnivariateBin>().apply {
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(a.bins.map { it.domain } union b.bins.map { it.domain }).forEach { def ->
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(a.bins.map { it.domain } union b.bins.map { it.domain }).forEach { def ->
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val newBin = UnivariateBinValue(
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put(def.center,
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UnivariateBin(
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def,
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def,
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value = (a[def.center]?.value ?: 0.0) + (b[def.center]?.value ?: 0.0),
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value = (a[def.center]?.value ?: 0.0) + (b[def.center]?.value ?: 0.0),
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standardDeviation = (a[def.center]?.standardDeviation
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standardDeviation = (a[def.center]?.standardDeviation
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?: 0.0) + (b[def.center]?.standardDeviation ?: 0.0)
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?: 0.0) + (b[def.center]?.standardDeviation ?: 0.0)
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)
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)
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)
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}
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}
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}
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}
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return TreeHistogram(this, bins)
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return TreeHistogram(this, bins)
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@ -101,7 +100,7 @@ public class TreeHistogramSpace(
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val bins = TreeMap<Double, UnivariateBin>().apply {
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val bins = TreeMap<Double, UnivariateBin>().apply {
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a.bins.forEach { bin ->
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a.bins.forEach { bin ->
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put(bin.domain.center,
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put(bin.domain.center,
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UnivariateBinValue(
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UnivariateBin(
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bin.domain,
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bin.domain,
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value = bin.value * k.toDouble(),
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value = bin.value * k.toDouble(),
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standardDeviation = abs(bin.standardDeviation * k.toDouble())
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standardDeviation = abs(bin.standardDeviation * k.toDouble())
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@ -10,26 +10,23 @@ import kscience.kmath.structures.asSequence
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public val UnivariateDomain.center: Double get() = (range.endInclusive - range.start) / 2
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public val UnivariateDomain.center: Double get() = (range.endInclusive - range.start) / 2
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public interface UnivariateBin : Bin<Double>, ClosedFloatingPointRange<Double> {
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/**
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public val domain: UnivariateDomain
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* A univariate bin based an a range
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* @param value The value of histogram including weighting
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/**
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* @param standardDeviation Standard deviation of the bin value. Zero or negative if not applicable
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* The value of histogram including weighting
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*/
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*/
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public override val value: Double
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public class UnivariateBin(
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public val domain: UnivariateDomain,
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/**
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override val value: Double,
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* Standard deviation of the bin value. Zero if not applicable
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public val standardDeviation: Double,
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*/
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) : Bin<Double>, ClosedFloatingPointRange<Double> by domain.range {
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public val standardDeviation: Double
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public override val dimension: Int get() = 1
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public override val dimension: Int get() = 1
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public override fun contains(point: Buffer<Double>): Boolean = point.size == 1 && contains(point[0])
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public override fun contains(point: Buffer<Double>): Boolean = point.size == 1 && contains(point[0])
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}
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}
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@UnstableKMathAPI
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@OptIn(UnstableKMathAPI::class)
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public interface UnivariateHistogram : Histogram<Double, UnivariateBin>,
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public interface UnivariateHistogram : Histogram<Double, UnivariateBin>,
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SpaceElement<UnivariateHistogram, Space<UnivariateHistogram>> {
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SpaceElement<UnivariateHistogram, Space<UnivariateHistogram>> {
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public operator fun get(value: Double): UnivariateBin?
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public operator fun get(value: Double): UnivariateBin?
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