Dev #20

Merged
altavir merged 10 commits from dev into master 2018-10-29 19:00:20 +03:00
3 changed files with 20 additions and 20 deletions
Showing only changes of commit 6a0ef6a235 - Show all commits

View File

@ -6,13 +6,13 @@ import scientifik.kmath.structures.NDStructure
import scientifik.kmath.structures.ndStructure import scientifik.kmath.structures.ndStructure
import kotlin.math.floor import kotlin.math.floor
class MultivariateBin(override val center: RealVector, val sizes: RealVector, val counter: LongCounter = LongCounter()) : Bin { class MultivariateBin(override val center: RealVector, val sizes: RealVector, val counter: LongCounter = LongCounter()) : Bin<Double> {
init { init {
if (center.size != sizes.size) error("Dimension mismatch in bin creation. Expected ${center.size}, but found ${sizes.size}") if (center.size != sizes.size) error("Dimension mismatch in bin creation. Expected ${center.size}, but found ${sizes.size}")
} }
override fun contains(vector: RealVector): Boolean { override fun contains(vector: RealVector): Boolean {
if(vector.size != center.size) error("Dimension mismatch for input vector. Expected ${center.size}, but found ${vector.size}") if (vector.size != center.size) error("Dimension mismatch for input vector. Expected ${center.size}, but found ${vector.size}")
return vector.asSequence().mapIndexed { i, value -> value in (center[i] - sizes[i] / 2)..(center[i] + sizes[i] / 2) }.all { it } return vector.asSequence().mapIndexed { i, value -> value in (center[i] - sizes[i] / 2)..(center[i] + sizes[i] / 2) }.all { it }
} }
@ -28,8 +28,8 @@ class MultivariateBin(override val center: RealVector, val sizes: RealVector, va
class FastHistogram( class FastHistogram(
private val lower: RealVector, private val lower: RealVector,
private val upper: RealVector, private val upper: RealVector,
private val binNums: IntArray = IntArray(lower.size) { 100 } private val binNums: IntArray = IntArray(lower.size) { 20 }
) : Histogram<MultivariateBin> { ) : Histogram<Double, MultivariateBin> {
init { init {
// argument checks // argument checks
@ -105,7 +105,7 @@ class FastHistogram(
*) *)
*``` *```
*/ */
fun fromRanges(vararg ranges: Pair<ClosedFloatingPointRange<Double>,Int>): FastHistogram { fun fromRanges(vararg ranges: Pair<ClosedFloatingPointRange<Double>, Int>): FastHistogram {
return FastHistogram( return FastHistogram(
ranges.map { it.first.start }.toVector(), ranges.map { it.first.start }.toVector(),
ranges.map { it.first.endInclusive }.toVector(), ranges.map { it.first.endInclusive }.toVector(),

View File

@ -1,6 +1,6 @@
package scientifik.kmath.histogram package scientifik.kmath.histogram
import scientifik.kmath.linear.RealVector import scientifik.kmath.linear.Vector
import scientifik.kmath.linear.toVector import scientifik.kmath.linear.toVector
import scientifik.kmath.operations.Space import scientifik.kmath.operations.Space
@ -8,28 +8,28 @@ import scientifik.kmath.operations.Space
* A simple geometric domain * A simple geometric domain
* TODO move to geometry module * TODO move to geometry module
*/ */
interface Domain { interface Domain<T: Any> {
operator fun contains(vector: RealVector): Boolean operator fun contains(vector: Vector<T>): Boolean
val dimension: Int val dimension: Int
} }
/** /**
* The bin in the histogram. The histogram is by definition always done in the real space * The bin in the histogram. The histogram is by definition always done in the real space
*/ */
interface Bin : Domain { interface Bin<T: Any> : Domain<T> {
/** /**
* The value of this bin * The value of this bin
*/ */
val value: Number val value: Number
val center: RealVector val center: Vector<T>
} }
interface Histogram<out B : Bin> : Iterable<B> { interface Histogram<T: Any, out B : Bin<T>> : Iterable<B> {
/** /**
* Find existing bin, corresponding to given coordinates * Find existing bin, corresponding to given coordinates
*/ */
operator fun get(point: RealVector): B? operator fun get(point: Vector<T>): B?
/** /**
* Dimension of the histogram * Dimension of the histogram
@ -39,24 +39,24 @@ interface Histogram<out B : Bin> : Iterable<B> {
/** /**
* Increment appropriate bin * Increment appropriate bin
*/ */
fun put(point: RealVector) fun put(point: Vector<T>)
} }
fun Histogram<*>.put(vararg point: Double) = put(point.toVector()) fun Histogram<Double,*>.put(vararg point: Double) = put(point.toVector())
fun Histogram<*>.fill(sequence: Iterable<RealVector>) = sequence.forEach { put(it) } fun <T: Any> Histogram<T,*>.fill(sequence: Iterable<Vector<T>>) = sequence.forEach { put(it) }
/** /**
* Pass a sequence builder into histogram * Pass a sequence builder into histogram
*/ */
fun Histogram<*>.fill(buider: suspend SequenceScope<RealVector>.() -> Unit) = fill(sequence(buider).asIterable()) fun <T: Any> Histogram<T, *>.fill(buider: suspend SequenceScope<Vector<T>>.() -> Unit) = fill(sequence(buider).asIterable())
/** /**
* A space to perform arithmetic operations on histograms * A space to perform arithmetic operations on histograms
*/ */
interface HistogramSpace<B : Bin, H : Histogram<B>> : Space<H> { interface HistogramSpace<T: Any, B : Bin<T>, H : Histogram<T,B>> : Space<H> {
/** /**
* Rules for performing operations on bins * Rules for performing operations on bins
*/ */
val binSpace: Space<Bin> val binSpace: Space<Bin<T>>
} }

View File

@ -7,7 +7,7 @@ import kotlin.math.floor
//TODO move to common //TODO move to common
class UnivariateBin(val position: Double, val size: Double, val counter: LongCounter = LongCounter()) : Bin { class UnivariateBin(val position: Double, val size: Double, val counter: LongCounter = LongCounter()) : Bin<Double> {
//TODO add weighting //TODO add weighting
override val value: Number get() = counter.sum() override val value: Number get() = counter.sum()
@ -25,7 +25,7 @@ class UnivariateBin(val position: Double, val size: Double, val counter: LongCou
/** /**
* Univariate histogram with log(n) bin search speed * Univariate histogram with log(n) bin search speed
*/ */
class UnivariateHistogram private constructor(private val factory: (Double) -> UnivariateBin) : Histogram<UnivariateBin> { class UnivariateHistogram private constructor(private val factory: (Double) -> UnivariateBin) : Histogram<Double,UnivariateBin> {
private val bins: TreeMap<Double, UnivariateBin> = TreeMap() private val bins: TreeMap<Double, UnivariateBin> = TreeMap()