kmath-histograms/src/commonMain/kotlin/kscience/kmath/histogram/RealHistogramSpace.kt

@@ -77,7 +77,7 @@ public class RealHistogramSpace(
         return IndexedHistogram(this, values)
     }
 
-    public companion object{
+    public companion object {
         /**
          * Use it like
          * ```

kmath-histograms/src/commonTest/kotlin/scietifik/kmath/histogram/MultivariateHistogramTest.kt

@@ -1,8 +1,8 @@
 package scietifik.kmath.histogram
 
 import kscience.kmath.histogram.RealHistogramSpace
-import kscience.kmath.histogram.fill
 import kscience.kmath.histogram.put
+import kscience.kmath.operations.invoke
 import kscience.kmath.real.RealVector
 import kscience.kmath.real.invoke
 import kotlin.random.Random
@@ -37,12 +37,44 @@ internal class MultivariateHistogramTest {
 
         val n = 10000
         val histogram = hSpace.produce {
-            fill {
             repeat(n) {
-                    yield(RealVector(nextDouble(), nextDouble(), nextDouble()))
+                put(nextDouble(), nextDouble(), nextDouble())
-                }
             }
         }
         assertEquals(n, histogram.bins.sumBy { it.value.toInt() })
     }
+
+    @Test
+    fun testHistogramAlgebra() {
+        val hSpace = RealHistogramSpace.fromRanges(
+            (-1.0..1.0),
+            (-1.0..1.0),
+            (-1.0..1.0)
+        ).invoke {
+            val random = Random(1234)
+
+            fun nextDouble() = random.nextDouble(-1.0, 1.0)
+            val n = 10000
+            val histogram1 = produce {
+                repeat(n) {
+                    put(nextDouble(), nextDouble(), nextDouble())
+                }
+            }
+            val histogram2 = produce {
+                repeat(n) {
+                    put(nextDouble(), nextDouble(), nextDouble())
+                }
+            }
+            val res = histogram1 - histogram2
+            assertTrue {
+                strides.indices().all { index ->
+                    res.values[index] <= histogram1.values[index]
+                }
+            }
+            assertTrue {
+                res.bins.count() >= histogram1.bins.count()
+            }
+            assertEquals(0.0, res.bins.sumByDouble { it.value.toDouble() })
+        }
+    }
 }

kmath-histograms/src/jvmMain/kotlin/kscience/kmath/histogram/AbstractUnivariateHistogram.kt

@@ -1,33 +0,0 @@
-package kscience.kmath.histogram
-
-
-/**
- * Univariate histogram with log(n) bin search speed
- */
-//private abstract class AbstractUnivariateHistogram<B: UnivariateBin>{
-//
-//    public abstract val bins: TreeMap<Double, B>
-//
-//    public open operator fun get(value: Double): B? {
-//        // check ceiling entry and return it if it is what needed
-//        val ceil = bins.ceilingEntry(value)?.value
-//        if (ceil != null && value in ceil) return ceil
-//        //check floor entry
-//        val floor = bins.floorEntry(value)?.value
-//        if (floor != null && value in floor) return floor
-//        //neither is valid, not found
-//        return null
-//    }
-
-//    public override operator fun get(point: Buffer<out Double>): B? = get(point[0])
-//
-//    public override val dimension: Int get() = 1
-//
-//    public override operator fun iterator(): Iterator<B> = bins.values.iterator()
-//
-//    public companion object {
-
-//    }
-//}
-
-

kmath-histograms/src/jvmMain/kotlin/kscience/kmath/histogram/TreeHistogramSpace.kt

@@ -0,0 +1,156 @@
+package kscience.kmath.histogram
+
+import kscience.kmath.domains.UnivariateDomain
+import kscience.kmath.misc.UnstableKMathAPI
+import kscience.kmath.operations.Space
+import kscience.kmath.structures.Buffer
+import java.util.*
+import kotlin.math.abs
+import kotlin.math.sqrt
+
+internal 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
+    //check floor entry
+    val floor = floorEntry(value)?.value
+    if (floor != null && value in floor) return floor
+    //neither is valid, not found
+    return null
+}
+
+@UnstableKMathAPI
+public class TreeHistogram(
+    override val context: TreeHistogramSpace,
+    private val binMap: TreeMap<Double, out UnivariateBin>,
+) : UnivariateHistogram {
+    override fun get(value: Double): UnivariateBin? = binMap.getBin(value)
+    override val dimension: Int get() = 1
+    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
+
+@UnstableKMathAPI
+public class TreeHistogramSpace(
+    public val binFactory: (Double) -> UnivariateDomain,
+) : Space<UnivariateHistogram> {
+
+    private class BinCounter(val domain: UnivariateDomain, val counter: Counter<Double> = Counter.real()) :
+        ClosedFloatingPointRange<Double> by domain.range
+
+    public fun produce(builder: UnivariateHistogramBuilder.() -> Unit): UnivariateHistogram {
+        val bins: TreeMap<Double, BinCounter> = TreeMap()
+        val hBuilder = object : UnivariateHistogramBuilder {
+
+            fun get(value: Double): BinCounter? = bins.getBin(value)
+
+            fun createBin(value: Double): BinCounter {
+                val binDefinition = binFactory(value)
+                val newBin = BinCounter(binDefinition)
+                synchronized(this) { bins[binDefinition.center] = newBin }
+                return newBin
+            }
+
+            /**
+             * Thread safe put operation
+             */
+            override fun putValue(at: Double, value: Double) {
+                (get(at) ?: createBin(at)).apply {
+                    counter.add(value)
+                }
+            }
+
+            override fun putValue(point: Buffer<Double>, value: Number) {
+                put(point[0], value.toDouble())
+            }
+        }
+        hBuilder.apply(builder)
+        val resBins = TreeMap<Double, UnivariateBin>()
+        bins.forEach { key, binCounter ->
+            val count = binCounter.counter.value
+            resBins[key] = UnivariateBinValue(binCounter.domain, count, sqrt(count))
+        }
+        return TreeHistogram(this, resBins)
+    }
+
+    override fun add(
+        a: UnivariateHistogram,
+        b: UnivariateHistogram,
+    ): UnivariateHistogram {
+        require(a.context == this) { "Histogram $a does not belong to this context" }
+        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(
+                    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)
+    }
+
+    override fun multiply(a: UnivariateHistogram, k: Number): UnivariateHistogram {
+        val bins = TreeMap<Double, UnivariateBin>().apply {
+            a.bins.forEach { bin ->
+                put(bin.domain.center,
+                    UnivariateBinValue(
+                        bin.domain,
+                        value = bin.value * k.toDouble(),
+                        standardDeviation = abs(bin.standardDeviation * k.toDouble())
+                    )
+                )
+            }
+        }
+
+        return TreeHistogram(this, bins)
+    }
+
+    override val zero: UnivariateHistogram = produce { }
+
+    public companion object {
+        /**
+         * Build and fill a [UnivariateHistogram]. Returns a read-only histogram.
+         */
+        public fun uniform(
+            binSize: Double,
+            start: Double = 0.0,
+        ): TreeHistogramSpace = TreeHistogramSpace { value ->
+            val center = start + binSize * Math.floor((value - start) / binSize + 0.5)
+            UnivariateDomain((center - binSize / 2)..(center + binSize / 2))
+        }
+
+        /**
+         * Create a histogram with custom cell borders
+         */
+        public fun custom(borders: DoubleArray): TreeHistogramSpace {
+            val sorted = borders.sortedArray()
+
+            return TreeHistogramSpace { value ->
+                when {
+                    value < sorted.first() -> UnivariateDomain(
+                        Double.NEGATIVE_INFINITY..sorted.first()
+                    )
+
+                    value > sorted.last() -> UnivariateDomain(
+                        sorted.last()..Double.POSITIVE_INFINITY
+                    )
+
+                    else -> {
+                        val index = sorted.indices.first { value > sorted[it] }
+                        val left = sorted[index]
+                        val right = sorted[index + 1]
+                        UnivariateDomain(left..right)
+                    }
+                }
+            }
+        }
+    }
+}

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

@@ -1,24 +1,17 @@
 package kscience.kmath.histogram
 
-import kscience.kmath.linear.Point
+import kscience.kmath.domains.UnivariateDomain
 import kscience.kmath.misc.UnstableKMathAPI
+import kscience.kmath.operations.Space
 import kscience.kmath.operations.SpaceElement
 import kscience.kmath.structures.Buffer
-import kscience.kmath.structures.asBuffer
 import kscience.kmath.structures.asSequence
 
-public data class UnivariateHistogramBinDefinition(
-    val position: Double,
-    val size: Double,
-) : Comparable<UnivariateHistogramBinDefinition> {
-    override fun compareTo(other: UnivariateHistogramBinDefinition): Int = this.position.compareTo(other.position)
-}
 
-public interface UnivariateBin : Bin<Double> {
+public val UnivariateDomain.center: Double get() = (range.endInclusive - range.start) / 2
-    public val def: UnivariateHistogramBinDefinition
 
-    public val position: Double get() = def.position
+public interface UnivariateBin : Bin<Double>, ClosedFloatingPointRange<Double> {
-    public val size: Double get() = def.size
+    public val domain: UnivariateDomain
 
     /**
      * The value of histogram including weighting
@@ -30,19 +23,15 @@ public interface UnivariateBin : Bin<Double> {
      */
     public val standardDeviation: Double
 
-    public val center: Point<Double> get() = doubleArrayOf(position).asBuffer()
-
     public override val dimension: Int get() = 1
 
-    public override fun contains(point: Buffer<Double>): Boolean = contains(point[0])
+    public override fun contains(point: Buffer<Double>): Boolean = point.size == 1 && contains(point[0])
+
 }
 
-public operator fun UnivariateBin.contains(value: Double): Boolean =
+@UnstableKMathAPI
-    value in (position - size / 2)..(position + size / 2)
-
-@OptIn(UnstableKMathAPI::class)
 public interface UnivariateHistogram : Histogram<Double, UnivariateBin>,
-    SpaceElement<UnivariateHistogram, UnivariateHistogramSpace> {
+    SpaceElement<UnivariateHistogram, Space<UnivariateHistogram>> {
     public operator fun get(value: Double): UnivariateBin?
     public override operator fun get(point: Buffer<Double>): UnivariateBin? = get(point[0])
 
@@ -54,7 +43,7 @@ public interface UnivariateHistogram : Histogram<Double, UnivariateBin>,
             binSize: Double,
             start: Double = 0.0,
             builder: UnivariateHistogramBuilder.() -> Unit,
-        ): UnivariateHistogram = UnivariateHistogramSpace.uniform(binSize, start).produce(builder)
+        ): UnivariateHistogram = TreeHistogramSpace.uniform(binSize, start).produce(builder)
 
         /**
          * Build and fill a histogram with custom borders. Returns a read-only histogram.
@@ -62,33 +51,26 @@ public interface UnivariateHistogram : Histogram<Double, UnivariateBin>,
         public fun custom(
             borders: DoubleArray,
             builder: UnivariateHistogramBuilder.() -> Unit,
-        ): UnivariateHistogram = UnivariateHistogramSpace.custom(borders).produce(builder)
+        ): UnivariateHistogram = TreeHistogramSpace.custom(borders).produce(builder)
 
     }
 }
 
-public interface UnivariateHistogramBuilder: HistogramBuilder<Double> {
+@UnstableKMathAPI
-
+public interface UnivariateHistogramBuilder : HistogramBuilder<Double> {
     /**
      * Thread safe put operation
      */
-    public fun put(value: Double, weight: Double = 1.0)
+    public fun putValue(at: Double, value: Double = 1.0)
 
     override fun putValue(point: Buffer<Double>, value: Number)
-
-    /**
-     * Put several items into a single bin
-     */
-    public fun putMany(value: Double, count: Int, weight: Double = count.toDouble())
-
-    public fun build(): UnivariateHistogram
 }
 
 @UnstableKMathAPI
-public fun UnivariateHistogramBuilder.fill(items: Iterable<Double>): Unit = items.forEach(::put)
+public fun UnivariateHistogramBuilder.fill(items: Iterable<Double>): Unit = items.forEach(this::putValue)
 
 @UnstableKMathAPI
-public fun UnivariateHistogramBuilder.fill(array: DoubleArray): Unit = array.forEach(::put)
+public fun UnivariateHistogramBuilder.fill(array: DoubleArray): Unit = array.forEach(this::putValue)
 
 @UnstableKMathAPI
-public fun UnivariateHistogramBuilder.fill(buffer: Buffer<Double>): Unit = buffer.asSequence().forEach(::put)
+public fun UnivariateHistogramBuilder.fill(buffer: Buffer<Double>): Unit = buffer.asSequence().forEach(this::putValue)

kmath-histograms/src/jvmMain/kotlin/kscience/kmath/histogram/UnivariateHistogramSpace.kt

@@ -1,185 +0,0 @@
-package kscience.kmath.histogram
-
-import kscience.kmath.operations.Space
-import kscience.kmath.structures.Buffer
-import java.util.*
-import kotlin.math.abs
-import kotlin.math.sqrt
-
-private fun <B : UnivariateBin> 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
-    //check floor entry
-    val floor = floorEntry(value)?.value
-    if (floor != null && value in floor) return floor
-    //neither is valid, not found
-    return null
-}
-
-
-private class UnivariateHistogramImpl(
-    override val context: UnivariateHistogramSpace,
-    val binMap: TreeMap<Double, out UnivariateBin>,
-) : UnivariateHistogram {
-    override fun get(value: Double): UnivariateBin? = binMap.getBin(value)
-    override val dimension: Int get() = 1
-    override val bins: Collection<UnivariateBin> get() = binMap.values
-}
-
-private class UnivariateBinCounter(
-    override val def: UnivariateHistogramBinDefinition,
-) : UnivariateBin {
-    val counter: LongCounter = LongCounter()
-    val valueCounter: ObjectCounter<Double> = Counter.real()
-
-    /**
-     * The precise number of events ignoring weighting
-     */
-    val count: Long get() = counter.value
-
-    override val standardDeviation: Double get() = sqrt(count.toDouble()) / count * value
-
-    /**
-     * The value of histogram including weighting
-     */
-    override val value: Double get() = valueCounter.value
-
-    public fun increment(count: Long, value: Double) {
-        counter.add(count)
-        valueCounter.add(value)
-    }
-}
-
-private class UnivariateBinValue(
-    override val def: UnivariateHistogramBinDefinition,
-    override val value: Double,
-    override val standardDeviation: Double,
-) : UnivariateBin
-
-
-public class UnivariateHistogramSpace(
-    public val binFactory: (Double) -> UnivariateHistogramBinDefinition,
-) : Space<UnivariateHistogram> {
-
-    private inner class UnivariateHistogramBuilderImpl : UnivariateHistogramBuilder {
-
-        val bins: TreeMap<Double, UnivariateBinCounter> = TreeMap()
-        fun get(value: Double): UnivariateBinCounter? = bins.getBin(value)
-
-        private fun createBin(value: Double): UnivariateBinCounter {
-            val binDefinition = binFactory(value)
-            val newBin = UnivariateBinCounter(binDefinition)
-            synchronized(this) { bins[binDefinition.position] = newBin }
-            return newBin
-        }
-
-        /**
-         * Thread safe put operation
-         */
-        override fun put(value: Double, weight: Double) {
-            (get(value) ?: createBin(value)).apply {
-                increment(1, weight)
-            }
-        }
-
-        override fun putValue(point: Buffer<Double>, value: Number) {
-            put(point[0], value.toDouble())
-        }
-
-        /**
-         * Put several items into a single bin
-         */
-        override fun putMany(value: Double, count: Int, weight: Double) {
-            (get(value) ?: createBin(value)).apply {
-                increment(count.toLong(), weight)
-            }
-        }
-
-        override fun build(): UnivariateHistogram = UnivariateHistogramImpl(this@UnivariateHistogramSpace, bins)
-    }
-
-
-    public fun builder(): UnivariateHistogramBuilder = UnivariateHistogramBuilderImpl()
-
-    public fun produce(builder: UnivariateHistogramBuilder.() -> Unit): UnivariateHistogram =
-        UnivariateHistogramBuilderImpl().apply(builder).build()
-
-    override fun add(
-        a: UnivariateHistogram,
-        b: UnivariateHistogram,
-    ): UnivariateHistogram {
-        require(a.context == this) { "Histogram $a does not belong to this context" }
-        require(b.context == this) { "Histogram $b does not belong to this context" }
-        val bins = TreeMap<Double, UnivariateBin>().apply {
-            (a.bins.map { it.def } union b.bins.map { it.def }).forEach { def ->
-                val newBin = UnivariateBinValue(
-                    def,
-                    value = (a[def.position]?.value ?: 0.0) + (b[def.position]?.value ?: 0.0),
-                    standardDeviation = (a[def.position]?.standardDeviation
-                        ?: 0.0) + (b[def.position]?.standardDeviation ?: 0.0)
-                )
-            }
-        }
-        return UnivariateHistogramImpl(this, bins)
-    }
-
-    override fun multiply(a: UnivariateHistogram, k: Number): UnivariateHistogram {
-        val bins = TreeMap<Double, UnivariateBin>().apply {
-            a.bins.forEach { bin ->
-                put(bin.position,
-                    UnivariateBinValue(
-                        bin.def,
-                        value = bin.value * k.toDouble(),
-                        standardDeviation = abs(bin.standardDeviation * k.toDouble())
-                    )
-                )
-            }
-        }
-
-        return UnivariateHistogramImpl(this, bins)
-    }
-
-    override val zero: UnivariateHistogram = produce { }
-
-    public companion object {
-        /**
-         * Build and fill a [UnivariateHistogram]. Returns a read-only histogram.
-         */
-        public fun uniform(
-            binSize: Double,
-            start: Double = 0.0
-        ): UnivariateHistogramSpace = UnivariateHistogramSpace { value ->
-            val center = start + binSize * Math.floor((value - start) / binSize + 0.5)
-            UnivariateHistogramBinDefinition(center, binSize)
-        }
-
-        /**
-         * Create a histogram with custom cell borders
-         */
-        public fun custom(borders: DoubleArray): UnivariateHistogramSpace {
-            val sorted = borders.sortedArray()
-
-            return UnivariateHistogramSpace { value ->
-                when {
-                    value < sorted.first() -> UnivariateHistogramBinDefinition(
-                        Double.NEGATIVE_INFINITY,
-                        Double.MAX_VALUE
-                    )
-
-                    value > sorted.last() -> UnivariateHistogramBinDefinition(
-                        Double.POSITIVE_INFINITY,
-                        Double.MAX_VALUE
-                    )
-
-                    else -> {
-                        val index = sorted.indices.first { value > sorted[it] }
-                        val left = sorted[index]
-                        val right = sorted[index + 1]
-                        UnivariateHistogramBinDefinition((left + right) / 2, (right - left))
-                    }
-                }
-            }
-        }
-    }
-}