forked from kscience/kmath
misc
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@ -68,11 +68,12 @@ benchmark {
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targets.register("benchmarks")
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// This one matches sourceSet name above
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configurations.register("fast") {
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configurations.register("dot") {
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warmups = 1 // number of warmup iterations
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iterations = 3 // number of iterations
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iterationTime = 500 // time in seconds per iteration
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iterationTimeUnit = "ms" // time unity for iterationTime, default is seconds
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include("DotBenchmark")
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}
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}
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@ -1,8 +1,18 @@
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plugins { id("ru.mipt.npm.mpp") }
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kotlin.sourceSets.commonMain {
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dependencies {
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api(project(":kmath-core"))
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api(project(":kmath-for-real"))
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kotlin.sourceSets {
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commonMain {
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dependencies {
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api(project(":kmath-core"))
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}
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}
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commonTest{
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dependencies{
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implementation(project(":kmath-for-real"))
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}
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}
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}
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readme {
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this.maturity = ru.mipt.npm.gradle.Maturity.PROTOTYPE
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}
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@ -5,7 +5,6 @@ import kscience.kmath.histogram.fill
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import kscience.kmath.histogram.put
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import kscience.kmath.real.RealVector
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import kscience.kmath.real.invoke
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import kscience.kmath.structures.Buffer
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import kotlin.random.Random
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import kotlin.test.*
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@ -1,6 +1,6 @@
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package kscience.kmath.histogram
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import kscience.kmath.real.RealVector
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import kscience.kmath.linear.Point
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import kscience.kmath.structures.Buffer
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import kscience.kmath.structures.asBuffer
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import java.util.*
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@ -11,12 +11,12 @@ import kotlin.math.floor
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public class UnivariateBin(
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public val position: Double,
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public val size: Double,
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public val counter: LongCounter = LongCounter()
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public val counter: LongCounter = LongCounter(),
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) : Bin<Double> {
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//TODO add weighting
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public override val value: Number get() = counter.sum()
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public override val center: RealVector get() = doubleArrayOf(position).asBuffer()
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public override val center: Point<Double> get() = doubleArrayOf(position).asBuffer()
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public override val dimension: Int get() = 1
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public operator fun contains(value: Double): Boolean = value in (position - size / 2)..(position + size / 2)
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@ -27,8 +27,9 @@ public class UnivariateBin(
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/**
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* Univariate histogram with log(n) bin search speed
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*/
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public class UnivariateHistogram private constructor(private val factory: (Double) -> UnivariateBin) :
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MutableHistogram<Double, UnivariateBin> {
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public class UnivariateHistogram private constructor(
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private val factory: (Double) -> UnivariateBin,
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) : MutableHistogram<Double, UnivariateBin> {
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private val bins: TreeMap<Double, UnivariateBin> = TreeMap()
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