Merge branch 'dev' into feature/quaternion

# Conflicts:
#	CHANGELOG.md
This commit is contained in:
Iaroslav Postovalov 2020-11-29 01:14:08 +07:00
commit 863b22a451
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14 changed files with 200 additions and 34 deletions

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@ -14,6 +14,8 @@
- Chi squared optimization for array-like data in CM - Chi squared optimization for array-like data in CM
- `Fitting` utility object in prob/stat - `Fitting` utility object in prob/stat
- ND4J support module submitting `NDStructure` and `NDAlgebra` over `INDArray`. - ND4J support module submitting `NDStructure` and `NDAlgebra` over `INDArray`.
- Coroutine-deterministic Monte-Carlo scope with a random number generator.
- Some minor utilities to `kmath-for-real`.
- Basic Quaternion vector support. - Basic Quaternion vector support.
### Changed ### Changed
@ -25,12 +27,14 @@
- `kmath-ast` doesn't depend on heavy `kotlin-reflect` library. - `kmath-ast` doesn't depend on heavy `kotlin-reflect` library.
- Full autodiff refactoring based on `Symbol` - Full autodiff refactoring based on `Symbol`
- `kmath-prob` renamed to `kmath-stat` - `kmath-prob` renamed to `kmath-stat`
- Grid generators moved to `kmath-for-real`
### Deprecated ### Deprecated
### Removed ### Removed
- `kmath-koma` module because it doesn't support Kotlin 1.4. - `kmath-koma` module because it doesn't support Kotlin 1.4.
- Support of `legacy` JS backend (we will support only IR) - Support of `legacy` JS backend (we will support only IR)
- `toGrid` method.
### Fixed ### Fixed
- `symbol` method in `MstExtendedField` (https://github.com/mipt-npm/kmath/pull/140) - `symbol` method in `MstExtendedField` (https://github.com/mipt-npm/kmath/pull/140)

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@ -4,7 +4,7 @@ plugins {
id("ru.mipt.npm.project") id("ru.mipt.npm.project")
} }
internal val kmathVersion: String by extra("0.2.0-dev-3") internal val kmathVersion: String by extra("0.2.0-dev-4")
internal val bintrayRepo: String by extra("kscience") internal val bintrayRepo: String by extra("kscience")
internal val githubProject: String by extra("kmath") internal val githubProject: String by extra("kmath")

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@ -3,6 +3,7 @@ package kscience.kmath.expressions
import kscience.kmath.operations.Algebra import kscience.kmath.operations.Algebra
import kotlin.jvm.JvmName import kotlin.jvm.JvmName
import kotlin.properties.ReadOnlyProperty import kotlin.properties.ReadOnlyProperty
import kotlin.reflect.KProperty
/** /**
* A marker interface for a symbol. A symbol mus have an identity * A marker interface for a symbol. A symbol mus have an identity
@ -12,6 +13,13 @@ public interface Symbol {
* Identity object for the symbol. Two symbols with the same identity are considered to be the same symbol. * Identity object for the symbol. Two symbols with the same identity are considered to be the same symbol.
*/ */
public val identity: String public val identity: String
public companion object : ReadOnlyProperty<Any?, Symbol> {
//TODO deprecate and replace by top level function after fix of https://youtrack.jetbrains.com/issue/KT-40121
override fun getValue(thisRef: Any?, property: KProperty<*>): Symbol {
return StringSymbol(property.name)
}
}
} }
/** /**
@ -95,9 +103,9 @@ public fun <T, E> ExpressionAlgebra<T, E>.bind(symbol: Symbol): E =
/** /**
* A delegate to create a symbol with a string identity in this scope * A delegate to create a symbol with a string identity in this scope
*/ */
public val symbol: ReadOnlyProperty<Any?, StringSymbol> = ReadOnlyProperty { _, property -> public val symbol: ReadOnlyProperty<Any?, Symbol> get() = Symbol
StringSymbol(property.name) //TODO does not work directly on native due to https://youtrack.jetbrains.com/issue/KT-40121
}
/** /**
* Bind a symbol by name inside the [ExpressionAlgebra] * Bind a symbol by name inside the [ExpressionAlgebra]

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@ -5,19 +5,19 @@ package kscience.kmath.structures
* *
* @property array the underlying array. * @property array the underlying array.
*/ */
@Suppress("OVERRIDE_BY_INLINE")
public inline class RealBuffer(public val array: DoubleArray) : MutableBuffer<Double> { public inline class RealBuffer(public val array: DoubleArray) : MutableBuffer<Double> {
override val size: Int get() = array.size override val size: Int get() = array.size
override operator fun get(index: Int): Double = array[index] override inline operator fun get(index: Int): Double = array[index]
override operator fun set(index: Int, value: Double) { override inline operator fun set(index: Int, value: Double) {
array[index] = value array[index] = value
} }
override operator fun iterator(): DoubleIterator = array.iterator() override operator fun iterator(): DoubleIterator = array.iterator()
override fun copy(): MutableBuffer<Double> = override fun copy(): RealBuffer = RealBuffer(array.copyOf())
RealBuffer(array.copyOf())
} }
/** /**
@ -34,6 +34,11 @@ public inline fun RealBuffer(size: Int, init: (Int) -> Double): RealBuffer = Rea
*/ */
public fun RealBuffer(vararg doubles: Double): RealBuffer = RealBuffer(doubles) public fun RealBuffer(vararg doubles: Double): RealBuffer = RealBuffer(doubles)
/**
* Simplified [RealBuffer] to array comparison
*/
public fun RealBuffer.contentEquals(vararg doubles: Double): Boolean = array.contentEquals(doubles)
/** /**
* Returns a [DoubleArray] containing all of the elements of this [MutableBuffer]. * Returns a [DoubleArray] containing all of the elements of this [MutableBuffer].
*/ */

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@ -14,8 +14,9 @@ import kotlin.math.sqrt
public typealias RealPoint = Point<Double> public typealias RealPoint = Point<Double>
public fun DoubleArray.asVector(): RealVector = RealVector(asBuffer()) public fun RealPoint.asVector(): RealVector = RealVector(this)
public fun List<Double>.asVector(): RealVector = RealVector(asBuffer()) public fun DoubleArray.asVector(): RealVector = asBuffer().asVector()
public fun List<Double>.asVector(): RealVector = asBuffer().asVector()
public object VectorL2Norm : Norm<Point<out Number>, Double> { public object VectorL2Norm : Norm<Point<out Number>, Double> {
override fun norm(arg: Point<out Number>): Double = sqrt(arg.asIterable().sumByDouble(Number::toDouble)) override fun norm(arg: Point<out Number>): Double = sqrt(arg.asIterable().sumByDouble(Number::toDouble))

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@ -1,5 +1,7 @@
package kscience.kmath.misc package kscience.kmath.real
import kscience.kmath.linear.Point
import kscience.kmath.structures.asBuffer
import kotlin.math.abs import kotlin.math.abs
/** /**
@ -32,6 +34,9 @@ public fun ClosedFloatingPointRange<Double>.toSequenceWithStep(step: Double): Se
} }
} }
public infix fun ClosedFloatingPointRange<Double>.step(step: Double): Point<Double> =
toSequenceWithStep(step).toList().asBuffer()
/** /**
* Convert double range to sequence with the fixed number of points * Convert double range to sequence with the fixed number of points
*/ */
@ -39,12 +44,3 @@ public fun ClosedFloatingPointRange<Double>.toSequenceWithPoints(numPoints: Int)
require(numPoints > 1) { "The number of points should be more than 2" } require(numPoints > 1) { "The number of points should be more than 2" }
return toSequenceWithStep(abs(endInclusive - start) / (numPoints - 1)) return toSequenceWithStep(abs(endInclusive - start) / (numPoints - 1))
} }
/**
* Convert double range to array of evenly spaced doubles, where the size of array equals [numPoints]
*/
@Deprecated("Replace by 'toSequenceWithPoints'")
public fun ClosedFloatingPointRange<Double>.toGrid(numPoints: Int): DoubleArray {
require(numPoints >= 2) { "Can't create generic grid with less than two points" }
return DoubleArray(numPoints) { i -> start + (endInclusive - start) / (numPoints - 1) * i }
}

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@ -1,8 +0,0 @@
package kscience.kmath.real
import kscience.kmath.structures.RealBuffer
/**
* Simplified [RealBuffer] to array comparison
*/
public fun RealBuffer.contentEquals(vararg doubles: Double): Boolean = array.contentEquals(doubles)

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@ -0,0 +1,13 @@
package kaceince.kmath.real
import kscience.kmath.real.step
import kotlin.test.Test
import kotlin.test.assertEquals
class GridTest {
@Test
fun testStepGrid(){
val grid = 0.0..1.0 step 0.2
assertEquals(6, grid.size)
}
}

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@ -1,9 +1,10 @@
package scientific.kmath.real package kaceince.kmath.real
import kscience.kmath.linear.VirtualMatrix import kscience.kmath.linear.VirtualMatrix
import kscience.kmath.linear.build import kscience.kmath.linear.build
import kscience.kmath.real.* import kscience.kmath.real.*
import kscience.kmath.structures.Matrix import kscience.kmath.structures.Matrix
import kscience.kmath.structures.contentEquals
import kotlin.test.Test import kotlin.test.Test
import kotlin.test.assertEquals import kotlin.test.assertEquals
import kotlin.test.assertTrue import kotlin.test.assertTrue

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@ -1,11 +1,14 @@
package kscience.kmath.linear package kaceince.kmath.real
import kscience.kmath.linear.MatrixContext
import kscience.kmath.linear.asMatrix
import kscience.kmath.linear.transpose
import kscience.kmath.operations.invoke import kscience.kmath.operations.invoke
import kscience.kmath.real.RealVector import kscience.kmath.real.RealVector
import kotlin.test.Test import kotlin.test.Test
import kotlin.test.assertEquals import kotlin.test.assertEquals
internal class VectorTest { internal class RealVectorTest {
@Test @Test
fun testSum() { fun testSum() {
val vector1 = RealVector(5) { it.toDouble() } val vector1 = RealVector(5) { it.toDouble() }

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@ -0,0 +1,58 @@
package kscience.kmath.stat
import kotlinx.coroutines.*
import kotlin.coroutines.CoroutineContext
import kotlin.coroutines.EmptyCoroutineContext
import kotlin.coroutines.coroutineContext
/**
* A scope for a Monte-Carlo computations or multi-coroutine random number generation.
* The scope preserves the order of random generator calls as long as all concurrency calls is done via [launch] and [async]
* functions.
*/
public class MCScope(
public val coroutineContext: CoroutineContext,
public val random: RandomGenerator,
)
/**
* Launches a supervised Monte-Carlo scope
*/
public suspend inline fun <T> mcScope(generator: RandomGenerator, block: MCScope.() -> T): T =
MCScope(coroutineContext, generator).block()
/**
* Launch mc scope with a given seed
*/
public suspend inline fun <T> mcScope(seed: Long, block: MCScope.() -> T): T =
mcScope(RandomGenerator.default(seed), block)
/**
* Specialized launch for [MCScope]. Behaves the same way as regular [CoroutineScope.launch], but also stores the generator fork.
* The method itself is not thread safe.
*/
public inline fun MCScope.launch(
context: CoroutineContext = EmptyCoroutineContext,
start: CoroutineStart = CoroutineStart.DEFAULT,
crossinline block: suspend MCScope.() -> Unit,
): Job {
val newRandom = random.fork()
return CoroutineScope(coroutineContext).launch(context, start) {
MCScope(coroutineContext, newRandom).block()
}
}
/**
* Specialized async for [MCScope]. Behaves the same way as regular [CoroutineScope.async], but also stores the generator fork.
* The method itself is not thread safe.
*/
public inline fun <T> MCScope.async(
context: CoroutineContext = EmptyCoroutineContext,
start: CoroutineStart = CoroutineStart.DEFAULT,
crossinline block: suspend MCScope.() -> T,
): Deferred<T> {
val newRandom = random.fork()
return CoroutineScope(coroutineContext).async(context, start) {
MCScope(coroutineContext, newRandom).block()
}
}

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@ -0,0 +1,85 @@
package kscience.kmath.stat
import kotlinx.coroutines.*
import java.util.*
import kotlin.collections.HashSet
import kotlin.test.Test
import kotlin.test.assertEquals
data class RandomResult(val branch: String, val order: Int, val value: Int)
typealias ATest = suspend CoroutineScope.() -> Set<RandomResult>
class MCScopeTest {
val simpleTest: ATest = {
mcScope(1111) {
val res = Collections.synchronizedSet(HashSet<RandomResult>())
launch {
//println(random)
repeat(10) {
delay(10)
res.add(RandomResult("first", it, random.nextInt()))
}
launch {
//empty fork
}
}
launch {
//println(random)
repeat(10) {
delay(10)
res.add(RandomResult("second", it, random.nextInt()))
}
}
res
}
}
val testWithJoin: ATest = {
mcScope(1111) {
val res = Collections.synchronizedSet(HashSet<RandomResult>())
val job = launch {
repeat(10) {
delay(10)
res.add(RandomResult("first", it, random.nextInt()))
}
}
launch {
repeat(10) {
delay(10)
if (it == 4) job.join()
res.add(RandomResult("second", it, random.nextInt()))
}
}
res
}
}
fun compareResult(test: ATest) {
val res1 = runBlocking(Dispatchers.Default) { test() }
val res2 = runBlocking(newSingleThreadContext("test")) { test() }
assertEquals(
res1.find { it.branch == "first" && it.order == 7 }?.value,
res2.find { it.branch == "first" && it.order == 7 }?.value
)
assertEquals(res1, res2)
}
@Test
fun testParallel() {
compareResult(simpleTest)
}
@Test
fun testConditionalJoin() {
compareResult(testWithJoin)
}
}

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@ -8,8 +8,8 @@ pluginManagement {
maven("https://dl.bintray.com/kotlin/kotlinx") maven("https://dl.bintray.com/kotlin/kotlinx")
} }
val toolsVersion = "0.6.4-dev-1.4.20-M2" val toolsVersion = "0.7.0"
val kotlinVersion = "1.4.20-M2" val kotlinVersion = "1.4.20"
plugins { plugins {
id("kotlinx.benchmark") version "0.2.0-dev-20" id("kotlinx.benchmark") version "0.2.0-dev-20"