forked from kscience/kmath
Tools to evaluate statistic
This commit is contained in:
parent
645d81abf0
commit
92b4e6f28c
@ -1,10 +1,8 @@
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plugins {
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id("scientifik.mpp") version "0.1.4" apply false
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id("scientifik.publish") version "0.1.4" apply false
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id("kotlinx-atomicfu") version "0.12.9" apply false
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id("scientifik.publish") version "0.1.6" apply false
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}
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val kmathVersion by extra("0.1.4-dev-1")
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val kmathVersion by extra("0.1.4-dev")
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val bintrayRepo by extra("scientifik")
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val githubProject by extra("kmath")
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2
gradle/wrapper/gradle-wrapper.properties
vendored
2
gradle/wrapper/gradle-wrapper.properties
vendored
@ -1,5 +1,5 @@
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distributionBase=GRADLE_USER_HOME
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distributionPath=wrapper/dists
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distributionUrl=https\://services.gradle.org/distributions/gradle-5.5.1-bin.zip
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distributionUrl=https\://services.gradle.org/distributions/gradle-5.6-bin.zip
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zipStoreBase=GRADLE_USER_HOME
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zipStorePath=wrapper/dists
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4
gradlew
vendored
4
gradlew
vendored
@ -125,8 +125,8 @@ if $darwin; then
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GRADLE_OPTS="$GRADLE_OPTS \"-Xdock:name=$APP_NAME\" \"-Xdock:icon=$APP_HOME/media/gradle.icns\""
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fi
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# For Cygwin, switch paths to Windows format before running java
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if $cygwin ; then
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# For Cygwin or MSYS, switch paths to Windows format before running java
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if [ "$cygwin" = "true" -o "$msys" = "true" ] ; then
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APP_HOME=`cygpath --path --mixed "$APP_HOME"`
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CLASSPATH=`cygpath --path --mixed "$CLASSPATH"`
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JAVACMD=`cygpath --unix "$JAVACMD"`
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@ -10,29 +10,32 @@ import kotlin.jvm.JvmName
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* @param R type of resulting iterable
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* @param initial lazy evaluated
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*/
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fun <T, R> Iterator<T>.cumulative(initial: R, operation: (T, R) -> R): Iterator<R> = object : Iterator<R> {
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fun <T, R> Iterator<T>.cumulative(initial: R, operation: (R, T) -> R): Iterator<R> = object : Iterator<R> {
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var state: R = initial
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override fun hasNext(): Boolean = this@cumulative.hasNext()
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override fun next(): R {
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state = operation.invoke(this@cumulative.next(), state)
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state = operation(state, this@cumulative.next())
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return state
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}
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}
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fun <T, R> Iterable<T>.cumulative(initial: R, operation: (T, R) -> R): Iterable<R> = object : Iterable<R> {
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fun <T, R> Iterable<T>.cumulative(initial: R, operation: (R, T) -> R): Iterable<R> = object : Iterable<R> {
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override fun iterator(): Iterator<R> = this@cumulative.iterator().cumulative(initial, operation)
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}
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fun <T, R> Sequence<T>.cumulative(initial: R, operation: (T, R) -> R): Sequence<R> = object : Sequence<R> {
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fun <T, R> Sequence<T>.cumulative(initial: R, operation: (R, T) -> R): Sequence<R> = object : Sequence<R> {
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override fun iterator(): Iterator<R> = this@cumulative.iterator().cumulative(initial, operation)
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}
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fun <T, R> List<T>.cumulative(initial: R, operation: (T, R) -> R): List<R> =
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fun <T, R> List<T>.cumulative(initial: R, operation: (R, T) -> R): List<R> =
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this.iterator().cumulative(initial, operation).asSequence().toList()
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//Cumulative sum
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/**
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* Cumulative sum with custom space
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*/
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fun <T> Iterable<T>.cumulativeSum(space: Space<T>) = with(space) {
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cumulative(zero) { element: T, sum: T -> sum + element }
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}
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@ -1,7 +1,8 @@
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package scientifik.kmath.operations
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package scientifik.kmath.coroutines
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import scientifik.kmath.operations.RealField
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import scientifik.kmath.operations.SpaceOperations
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import kotlin.jvm.JvmName
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import kotlin.reflect.KClass
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/**
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* A suspendable univariate function defined in algebraic context
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@ -28,7 +29,9 @@ suspend fun MFunction<Double, RealField>.invoke(args: DoubleArray) = RealField.i
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@JvmName("varargInvoke")
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suspend fun MFunction<Double, RealField>.invoke(vararg args: Double) = RealField.invoke(*args.toTypedArray())
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/**
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* A suspendable univariate function with parameter
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*/
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interface ParametricUFunction<T, P, C : SpaceOperations<T>> {
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suspend operator fun C.invoke(arg: T, parameter: P): T
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}
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}
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@ -1,7 +1,4 @@
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package scientifik.kmath.operations
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import scientifik.kmath.structures.Buffer
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import scientifik.kmath.structures.asSequence
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fun <T> Space<T>.sum(data : Iterable<T>): T = data.fold(zero) { left, right -> add(left,right) }
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fun <T> Space<T>.sum(data : Sequence<T>): T = data.fold(zero) { left, right -> add(left, right) }
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@ -69,9 +69,9 @@ interface Buffer<T> {
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}
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}
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fun <T> Buffer<T>.asSequence(): Sequence<T> = iterator().asSequence()
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fun <T> Buffer<T>.asSequence(): Sequence<T> = Sequence(::iterator)
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fun <T> Buffer<T>.asIterable(): Iterable<T> = iterator().asSequence().asIterable()
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fun <T> Buffer<T>.asIterable(): Iterable<T> = asSequence().asIterable()
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interface MutableBuffer<T> : Buffer<T> {
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operator fun set(index: Int, value: T)
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@ -1,5 +1,6 @@
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plugins {
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id("scientifik.mpp")
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//id("scientifik.atomic")
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}
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kotlin.sourceSets {
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@ -7,19 +8,16 @@ kotlin.sourceSets {
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dependencies {
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api(project(":kmath-core"))
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api("org.jetbrains.kotlinx:kotlinx-coroutines-core-common:${Scientifik.coroutinesVersion}")
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compileOnly("org.jetbrains.kotlinx:atomicfu-common:${Scientifik.atomicfuVersion}")
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}
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}
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jvmMain {
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dependencies {
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api("org.jetbrains.kotlinx:kotlinx-coroutines-core:${Scientifik.coroutinesVersion}")
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compileOnly("org.jetbrains.kotlinx:atomicfu:${Scientifik.atomicfuVersion}")
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}
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}
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jsMain {
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dependencies {
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api("org.jetbrains.kotlinx:kotlinx-coroutines-core-js:${Scientifik.coroutinesVersion}")
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compileOnly("org.jetbrains.kotlinx:atomicfu-js:${Scientifik.atomicfuVersion}")
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}
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}
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}
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@ -16,9 +16,6 @@
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package scientifik.kmath.chains
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import kotlinx.atomicfu.atomic
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import kotlinx.atomicfu.updateAndGet
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import kotlinx.coroutines.FlowPreview
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import kotlinx.coroutines.flow.Flow
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import kotlinx.coroutines.sync.Mutex
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import kotlinx.coroutines.sync.withLock
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@ -46,9 +43,7 @@ interface Chain<out R> {
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/**
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* Chain as a coroutine flow. The flow emit affects chain state and vice versa
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*/
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@FlowPreview
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val <R> Chain<R>.flow: Flow<R>
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get() = kotlinx.coroutines.flow.flow { while (true) emit(next()) }
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fun <R> Chain<R>.flow(): Flow<R> = kotlinx.coroutines.flow.flow { while (true) emit(next()) }
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fun <T> Iterator<T>.asChain(): Chain<T> = SimpleChain { next() }
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fun <T> Sequence<T>.asChain(): Chain<T> = iterator().asChain()
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@ -66,8 +61,6 @@ class SimpleChain<out R>(private val gen: suspend () -> R) : Chain<R> {
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*/
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class MarkovChain<out R : Any>(private val seed: suspend () -> R, private val gen: suspend (R) -> R) : Chain<R> {
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//constructor(seedValue: R, gen: suspend (R) -> R) : this({ seedValue }, gen)
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private val mutex = Mutex()
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private var value: R? = null
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@ -97,12 +90,6 @@ class StatefulChain<S, out R>(
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private val gen: suspend S.(R) -> R
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) : Chain<R> {
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// constructor(state: S, seedValue: R, forkState: ((S) -> S), gen: suspend S.(R) -> R) : this(
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// state,
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// { seedValue },
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// forkState,
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// gen
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// )
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private val mutex = Mutex()
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private var value: R? = null
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@ -0,0 +1,27 @@
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package scientifik.kmath.chains
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import kotlinx.coroutines.ExperimentalCoroutinesApi
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import kotlinx.coroutines.flow.Flow
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import kotlinx.coroutines.flow.map
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import kotlinx.coroutines.flow.scan
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import kotlinx.coroutines.flow.scanReduce
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import scientifik.kmath.operations.Space
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import scientifik.kmath.operations.SpaceOperations
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@ExperimentalCoroutinesApi
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fun <T> Flow<T>.cumulativeSum(space: SpaceOperations<T>): Flow<T> = with(space) {
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scanReduce { sum: T, element: T -> sum + element }
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}
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@ExperimentalCoroutinesApi
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fun <T> Flow<T>.mean(space: Space<T>): Flow<T> = with(space) {
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class Accumulator(var sum: T, var num: Int)
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scan(Accumulator(zero, 0)) { sum, element ->
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sum.apply {
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this.sum += element
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this.num += 1
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}
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}.map { it.sum / it.num }
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}
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@ -21,8 +21,8 @@ internal class LazyDeferred<T>(val dispatcher: CoroutineDispatcher, val block: s
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suspend fun await(): T = deferred?.await() ?: error("Coroutine not started")
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}
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@FlowPreview
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class AsyncFlow<T> internal constructor(internal val deferredFlow: Flow<LazyDeferred<T>>) : Flow<T> {
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@InternalCoroutinesApi
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override suspend fun collect(collector: FlowCollector<T>) {
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deferredFlow.collect {
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collector.emit((it.await()))
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@ -88,14 +88,13 @@ suspend fun <T> AsyncFlow<T>.collect(concurrency: Int, action: suspend (value: T
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})
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}
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@ExperimentalCoroutinesApi
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@FlowPreview
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fun <T, R> Flow<T>.map(
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dispatcher: CoroutineDispatcher,
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concurrencyLevel: Int = 16,
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bufferSize: Int = concurrencyLevel,
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fun <T, R> Flow<T>.mapParallel(
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dispatcher: CoroutineDispatcher = Dispatchers.Default,
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transform: suspend (T) -> R
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): Flow<R> {
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return flatMapMerge(concurrencyLevel, bufferSize) { value ->
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return flatMapMerge{ value ->
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flow { emit(transform(value)) }
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}.flowOn(dispatcher)
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}
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@ -9,7 +9,6 @@ import scientifik.kmath.structures.DoubleBuffer
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/**
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* Create a [Flow] from buffer
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*/
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@FlowPreview
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fun <T> Buffer<T>.asFlow() = iterator().asFlow()
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/**
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@ -21,7 +20,6 @@ fun <T> Flow<Buffer<out T>>.spread(): Flow<T> = flatMapConcat { it.asFlow() }
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/**
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* Collect incoming flow into fixed size chunks
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*/
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@FlowPreview
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fun <T> Flow<T>.chunked(bufferSize: Int, bufferFactory: BufferFactory<T>): Flow<Buffer<T>> = flow {
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require(bufferSize > 0) { "Resulting chunk size must be more than zero" }
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val list = ArrayList<T>(bufferSize)
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@ -45,7 +43,6 @@ fun <T> Flow<T>.chunked(bufferSize: Int, bufferFactory: BufferFactory<T>): Flow<
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/**
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* Specialized flow chunker for real buffer
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*/
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@FlowPreview
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fun Flow<Double>.chunked(bufferSize: Int): Flow<DoubleBuffer> = flow {
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require(bufferSize > 0) { "Resulting chunk size must be more than zero" }
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val array = DoubleArray(bufferSize)
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@ -69,7 +66,6 @@ fun Flow<Double>.chunked(bufferSize: Int): Flow<DoubleBuffer> = flow {
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* Map a flow to a moving window buffer. The window step is one.
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* In order to get different steps, one could use skip operation.
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*/
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@FlowPreview
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fun <T> Flow<T>.windowed(window: Int): Flow<Buffer<T>> = flow {
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require(window > 1) { "Window size must be more than one" }
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val ringBuffer = RingBuffer.boxing<T>(window)
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@ -6,7 +6,7 @@ import kotlinx.coroutines.flow.collect
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import org.junit.Test
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import scientifik.kmath.coroutines.async
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import scientifik.kmath.coroutines.collect
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import scientifik.kmath.coroutines.map
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import scientifik.kmath.coroutines.mapParallel
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import java.util.concurrent.Executors
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@ -20,8 +20,8 @@ class BufferFlowTest {
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@Test(timeout = 2000)
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fun map() {
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runBlocking {
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(1..20).asFlow().map( dispatcher) {
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//println("Started $it on ${Thread.currentThread().name}")
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(1..20).asFlow().mapParallel( dispatcher) {
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println("Started $it on ${Thread.currentThread().name}")
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@Suppress("BlockingMethodInNonBlockingContext")
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Thread.sleep(200)
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it
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@ -35,7 +35,7 @@ class BufferFlowTest {
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fun async() {
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runBlocking {
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(1..20).asFlow().async(dispatcher) {
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//println("Started $it on ${Thread.currentThread().name}")
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println("Started $it on ${Thread.currentThread().name}")
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@Suppress("BlockingMethodInNonBlockingContext")
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Thread.sleep(200)
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it
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@ -1,7 +1,5 @@
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package scientifik.memory
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import kotlin.reflect.KClass
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/**
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* A specification to read or write custom objects with fixed size in bytes
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*/
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@ -27,7 +25,7 @@ inline fun <reified T : Any> MemoryReader.readArray(spec: MemorySpec<T>, offset:
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fun <T : Any> MemoryWriter.writeArray(spec: MemorySpec<T>, offset: Int, array: Array<T>) {
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spec.run {
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for (i in 0 until array.size) {
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for (i in array.indices) {
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write(offset + i * objectSize, array[i])
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}
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}
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|
@ -1,30 +1,11 @@
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plugins {
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id("scientifik.mpp")
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id("kotlinx-atomicfu")
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}
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kotlin.sourceSets {
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commonMain {
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dependencies {
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api(project(":kmath-coroutines"))
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compileOnly("org.jetbrains.kotlinx:atomicfu-common:${Scientifik.atomicfuVersion}")
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}
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}
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jvmMain {
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dependencies {
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// https://mvnrepository.com/artifact/org.apache.commons/commons-rng-simple
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//api("org.apache.commons:commons-rng-sampling:1.2")
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compileOnly("org.jetbrains.kotlinx:atomicfu:${Scientifik.atomicfuVersion}")
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}
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}
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jsMain {
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dependencies {
|
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compileOnly("org.jetbrains.kotlinx:atomicfu-js:${Scientifik.atomicfuVersion}")
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}
|
||||
}
|
||||
|
||||
}
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atomicfu {
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variant = "VH"
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}
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||||
}
|
@ -1,6 +1,5 @@
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package scientifik.kmath.prob
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import kotlinx.atomicfu.atomic
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import scientifik.kmath.chains.Chain
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/**
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@ -10,4 +9,7 @@ class RandomChain<out R>(val generator: RandomGenerator, private val gen: suspen
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override suspend fun next(): R = generator.gen()
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override fun fork(): Chain<R> = RandomChain(generator.fork(), gen)
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}
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}
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fun <R> RandomGenerator.chain(gen: suspend RandomGenerator.() -> R): RandomChain<R> = RandomChain(this, gen)
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fun <R> RandomGenerator.flow(gen: suspend RandomGenerator.() -> R) = chain(gen).fork()
|
@ -0,0 +1,88 @@
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package scientifik.kmath.prob
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import kotlinx.coroutines.CoroutineDispatcher
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import kotlinx.coroutines.Dispatchers
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import kotlinx.coroutines.ExperimentalCoroutinesApi
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import kotlinx.coroutines.FlowPreview
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import kotlinx.coroutines.flow.Flow
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import kotlinx.coroutines.flow.map
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import kotlinx.coroutines.flow.scanReduce
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import scientifik.kmath.coroutines.mapParallel
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import scientifik.kmath.operations.*
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import scientifik.kmath.structures.Buffer
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import scientifik.kmath.structures.asIterable
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/**
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* A function, that transforms a buffer of random quantities to some resulting value
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*/
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interface Statistic<T, R> {
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suspend operator fun invoke(data: Buffer<T>): R
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}
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/**
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* A statistic tha could be computed separately on different blocks of data and then composed
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*/
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interface ComposableStatistic<T, I, R> : Statistic<T, R> {
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suspend fun computeIntermediate(data: Buffer<T>): I
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suspend fun composeIntermediate(first: I, second: I): I
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suspend fun toResult(intermediate: I): R
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override suspend fun invoke(data: Buffer<T>): R = toResult(computeIntermediate(data))
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}
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@FlowPreview
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@ExperimentalCoroutinesApi
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fun <T, I, R> ComposableStatistic<T, I, R>.flowIntermediate(
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flow: Flow<Buffer<T>>,
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dispatcher: CoroutineDispatcher = Dispatchers.Default
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): Flow<I> = flow
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.mapParallel(dispatcher) { computeIntermediate(it) }
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.scanReduce(::composeIntermediate)
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/**
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* Perform a streaming statistical analysis on a chunked data. The computation of inner representation is done in parallel
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* if [dispatcher] allows it.
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*
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* The resulting flow contains values that include the whole previous statistics, not only the last chunk.
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*/
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@FlowPreview
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@ExperimentalCoroutinesApi
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fun <T, I, R> ComposableStatistic<T, I, R>.flow(
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flow: Flow<Buffer<T>>,
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dispatcher: CoroutineDispatcher = Dispatchers.Default
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): Flow<R> = flowIntermediate(flow,dispatcher).map(::toResult)
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/**
|
||||
* Arithmetic mean
|
||||
*/
|
||||
class Mean<T>(val space: Space<T>) : ComposableStatistic<T, Pair<T, Int>, T> {
|
||||
override suspend fun computeIntermediate(data: Buffer<T>): Pair<T, Int> =
|
||||
space.run { sum(data.asIterable()) } to data.size
|
||||
|
||||
override suspend fun composeIntermediate(first: Pair<T, Int>, second: Pair<T, Int>): Pair<T, Int> =
|
||||
space.run { first.first + second.first } to (first.second + second.second)
|
||||
|
||||
override suspend fun toResult(intermediate: Pair<T, Int>): T =
|
||||
space.run { intermediate.first / intermediate.second }
|
||||
|
||||
companion object {
|
||||
//TODO replace with optimized version which respects overflow
|
||||
val real = Mean(RealField)
|
||||
val int = Mean(IntRing)
|
||||
val long = Mean(LongRing)
|
||||
}
|
||||
}
|
||||
|
||||
/**
|
||||
* Non-composable median
|
||||
*/
|
||||
class Median<T>(comparator: Comparator<T>) : Statistic<T, T> {
|
||||
override suspend fun invoke(data: Buffer<T>): T {
|
||||
return data.asIterable().toList()[data.size / 2] //TODO check if this is correct
|
||||
}
|
||||
|
||||
companion object {
|
||||
val real = Median(Comparator { a: Double, b: Double -> a.compareTo(b) })
|
||||
}
|
||||
}
|
@ -0,0 +1,28 @@
|
||||
package scientifik.kmath.prob
|
||||
|
||||
import kotlinx.coroutines.flow.drop
|
||||
import kotlinx.coroutines.flow.first
|
||||
import kotlinx.coroutines.runBlocking
|
||||
import scientifik.kmath.chains.flow
|
||||
import scientifik.kmath.streaming.chunked
|
||||
import kotlin.test.Test
|
||||
|
||||
class StatisticTest {
|
||||
//create a random number generator.
|
||||
val generator = DefaultGenerator(1)
|
||||
//Create a stateless chain from generator.
|
||||
val data = generator.chain { nextDouble() }
|
||||
//Convert a chaint to Flow and break it into chunks.
|
||||
val chunked = data.flow().chunked(1000)
|
||||
|
||||
@Test
|
||||
fun testParallelMean() {
|
||||
runBlocking {
|
||||
val average = Mean.real
|
||||
.flow(chunked) //create a flow with results
|
||||
.drop(99) // Skip first 99 values and use one with total data
|
||||
.first() //get 1e5 data samples average
|
||||
println(average)
|
||||
}
|
||||
}
|
||||
}
|
@ -1,4 +1,12 @@
|
||||
pluginManagement {
|
||||
|
||||
plugins {
|
||||
id("scientifik.mpp") version "0.1.6"
|
||||
id("scientifik.jvm") version "0.1.6"
|
||||
id("scientifik.atomic") version "0.1.6"
|
||||
id("scientifik.publish") version "0.1.6"
|
||||
}
|
||||
|
||||
repositories {
|
||||
mavenLocal()
|
||||
jcenter()
|
||||
@ -7,13 +15,10 @@ pluginManagement {
|
||||
maven("https://dl.bintray.com/mipt-npm/scientifik")
|
||||
maven("https://dl.bintray.com/kotlin/kotlinx")
|
||||
}
|
||||
|
||||
resolutionStrategy {
|
||||
eachPlugin {
|
||||
when (requested.id.id) {
|
||||
"kotlinx-atomicfu" -> useModule("org.jetbrains.kotlinx:atomicfu-gradle-plugin:${requested.version}")
|
||||
"kotlin-multiplatform" -> useModule("org.jetbrains.kotlin:kotlin-gradle-plugin:${requested.version}")
|
||||
"kotlin2js" -> useModule("org.jetbrains.kotlin:kotlin-gradle-plugin:${requested.version}")
|
||||
"org.jetbrains.kotlin.frontend" -> useModule("org.jetbrains.kotlin:kotlin-frontend-plugin:0.0.45")
|
||||
"scientifik.mpp", "scientifik.publish" -> useModule("scientifik:gradle-tools:${requested.version}")
|
||||
}
|
||||
}
|
||||
|
Loading…
Reference in New Issue
Block a user