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# Conflicts:
#	kmath-ast/README.md
#	kmath-ast/src/jvmMain/kotlin/scientifik/kmath/asm/internal/AsmBuilder.kt
#	kmath-ast/src/jvmMain/kotlin/scientifik/kmath/asm/internal/buildName.kt
#	kmath-ast/src/jvmMain/kotlin/scientifik/kmath/asm/internal/classWriters.kt
#	kmath-ast/src/jvmMain/kotlin/scientifik/kmath/asm/internal/methodVisitors.kt
#	kmath-ast/src/jvmMain/kotlin/scientifik/kmath/asm/internal/specialization.kt
#	kmath-core/src/commonMain/kotlin/scientifik/kmath/structures/RealBufferField.kt
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2
build.gradle.kts
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@ -2,7 +2,7 @@ plugins {
id("scientifik.publish") apply false
}
val kmathVersion by extra("0.1.4-dev-7")
val kmathVersion by extra("0.1.4-dev-8")
val bintrayRepo by extra("scientifik")
val githubProject by extra("kmath")

2
doc/buffers.md
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@ -2,7 +2,7 @@
Buffer is one of main building blocks of kmath. It is a basic interface allowing random-access read and write (with `MutableBuffer`).
There are different types of buffers:
* Primitive buffers wrapping like `DoubleBuffer` which are wrapping primitive arrays.
* Primitive buffers wrapping like `RealBuffer` which are wrapping primitive arrays.
* Boxing `ListBuffer` wrapping a list
* Functionally defined `VirtualBuffer` which does not hold a state itself, but provides a function to calculate value
* `MemoryBuffer` allows direct allocation of objects in continuous memory block.

9
examples/build.gradle.kts
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@ -4,8 +4,8 @@ import org.jetbrains.kotlin.gradle.tasks.KotlinCompile
plugins {
java
kotlin("jvm")
kotlin("plugin.allopen") version "1.3.71"
id("kotlinx.benchmark") version "0.2.0-dev-7"
kotlin("plugin.allopen") version "1.3.72"
id("kotlinx.benchmark") version "0.2.0-dev-8"
}
configure<AllOpenExtension> {
@ -24,6 +24,7 @@ sourceSets {
}
dependencies {
implementation(project(":kmath-ast"))
implementation(project(":kmath-core"))
implementation(project(":kmath-coroutines"))
implementation(project(":kmath-commons"))
@ -33,8 +34,8 @@ dependencies {
implementation(project(":kmath-dimensions"))
implementation("com.kyonifer:koma-core-ejml:0.12")
implementation("org.jetbrains.kotlinx:kotlinx-io-jvm:0.2.0-npm-dev-6")
implementation("org.jetbrains.kotlinx:kotlinx.benchmark.runtime:0.2.0-dev-7")
"benchmarksCompile"(sourceSets.main.get().compileClasspath)
implementation("org.jetbrains.kotlinx:kotlinx.benchmark.runtime:0.2.0-dev-8")
"benchmarksCompile"(sourceSets.main.get().output + sourceSets.main.get().compileClasspath) //sourceSets.main.output + sourceSets.main.runtimeClasspath
}
// Configure benchmark

4
examples/src/benchmarks/kotlin/scientifik/kmath/structures/BufferBenchmark.kt
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@ -10,8 +10,8 @@ import scientifik.kmath.operations.complex
class BufferBenchmark {
@Benchmark
fun genericDoubleBufferReadWrite() {
val buffer = DoubleBuffer(size){it.toDouble()}
fun genericRealBufferReadWrite() {
val buffer = RealBuffer(size){it.toDouble()}
(0 until size).forEach {
buffer[it]

27
examples/src/benchmarks/kotlin/scientifik/kmath/structures/ViktorBenchmark.kt
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@ -20,48 +20,39 @@ class ViktorBenchmark {
final val viktorField = ViktorNDField(intArrayOf(dim, dim))
@Benchmark
fun `Automatic field addition`() {
fun automaticFieldAddition() {
autoField.run {
var res = one
repeat(n) {
res += 1.0
}
repeat(n) { res += one }
}
}
@Benchmark
fun `Viktor field addition`() {
fun viktorFieldAddition() {
viktorField.run {
var res = one
repeat(n) {
res += one
}
repeat(n) { res += one }
}
}
@Benchmark
fun `Raw Viktor`() {
fun rawViktor() {
val one = F64Array.full(init = 1.0, shape = *intArrayOf(dim, dim))
var res = one
repeat(n) {
res = res + one
}
repeat(n) { res = res + one }
}
@Benchmark
fun `Real field log`() {
fun realdFieldLog() {
realField.run {
val fortyTwo = produce { 42.0 }
var res = one
repeat(n) {
res = ln(fortyTwo)
}
repeat(n) { res = ln(fortyTwo) }
}
}
@Benchmark
fun `Raw Viktor log`() {
fun rawViktorLog() {
val fortyTwo = F64Array.full(dim, dim, init = 42.0)
var res: F64Array
repeat(n) {

70
examples/src/main/kotlin/scientifik/kmath/ast/ExpressionsInterpretersBenchmark.kt Normal file
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@ -0,0 +1,70 @@
package scientifik.kmath.ast
import scientifik.kmath.asm.compile
import scientifik.kmath.expressions.Expression
import scientifik.kmath.expressions.expressionInField
import scientifik.kmath.expressions.invoke
import scientifik.kmath.operations.Field
import scientifik.kmath.operations.RealField
import kotlin.random.Random
import kotlin.system.measureTimeMillis
class ExpressionsInterpretersBenchmark {
private val algebra: Field<Double> = RealField
fun functionalExpression() {
val expr = algebra.expressionInField {
variable("x") * const(2.0) + const(2.0) / variable("x") - const(16.0)
}
invokeAndSum(expr)
}
fun mstExpression() {
val expr = algebra.mstInField {
symbol("x") * number(2.0) + number(2.0) / symbol("x") - number(16.0)
}
invokeAndSum(expr)
}
fun asmExpression() {
val expr = algebra.mstInField {
symbol("x") * number(2.0) + number(2.0) / symbol("x") - number(16.0)
}.compile()
invokeAndSum(expr)
}
private fun invokeAndSum(expr: Expression<Double>) {
val random = Random(0)
var sum = 0.0
repeat(1000000) {
sum += expr("x" to random.nextDouble())
}
println(sum)
}
}
fun main() {
val benchmark = ExpressionsInterpretersBenchmark()
val fe = measureTimeMillis {
benchmark.functionalExpression()
}
println("fe=$fe")
val mst = measureTimeMillis {
benchmark.mstExpression()
}
println("mst=$mst")
val asm = measureTimeMillis {
benchmark.asmExpression()
}
println("asm=$asm")
}

2
examples/src/main/kotlin/scientifik/kmath/structures/StructureReadBenchmark.kt
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@ -6,7 +6,7 @@ fun main(args: Array<String>) {
val n = 6000
val array = DoubleArray(n * n) { 1.0 }
val buffer = DoubleBuffer(array)
val buffer = RealBuffer(array)
val strides = DefaultStrides(intArrayOf(n, n))
val structure = BufferNDStructure(strides, buffer)

4
examples/src/main/kotlin/scientifik/kmath/structures/StructureWriteBenchmark.kt
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@ -26,10 +26,10 @@ fun main(args: Array<String>) {
}
println("Array mapping finished in $time2 millis")
val buffer = DoubleBuffer(DoubleArray(n * n) { 1.0 })
val buffer = RealBuffer(DoubleArray(n * n) { 1.0 })
val time3 = measureTimeMillis {
val target = DoubleBuffer(DoubleArray(n * n))
val target = RealBuffer(DoubleArray(n * n))
val res = array.forEachIndexed { index, value ->
target[index] = value + 1
}

9
kmath-ast/README.md
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@ -24,6 +24,7 @@ For example, the following builder:
package scientifik.kmath.asm.generated;
import java.util.Map;
import scientifik.kmath.asm.internal.MapIntrinsics;
import scientifik.kmath.expressions.Expression;
import scientifik.kmath.operations.RealField;
@ -37,23 +38,23 @@ public final class AsmCompiledExpression_1073786867_0 implements Expression<Doub
}
public final Double invoke(Map<String, ? extends Double> arguments) {
return (Double)this.algebra.add(((Double)arguments.get("x")).doubleValue(), 2.0D);
return (Double)this.algebra.add(((Double)MapIntrinsics.getOrFail(arguments, "x", (Object)null)).doubleValue(), 2.0D);
}
}
```
### Example Usage
This API is an extension to MST and MSTExpression APIs. You may optimize both MST and MSTExpression:
This API is an extension to MST and MstExpression APIs. You may optimize both MST and MSTExpression:
```kotlin
RealField.mstInField { symbol("x") + 2 }.compile()
RealField.expression("2+2".parseMath())
RealField.expression("x+2".parseMath())
```
### Known issues
- Using numeric algebras causes boxing and calling bridge methods.
- The same classes may be generated and loaded twice, so it is recommended to cache compiled expressions to avoid
class loading overhead.
- This API is not supported by non-dynamic JVM implementations (like TeaVM and GraalVM) because of using class loaders.

76
kmath-ast/src/commonMain/kotlin/scientifik/kmath/ast/MSTAlgebra.kt
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@ -1,76 +0,0 @@
package scientifik.kmath.ast
import scientifik.kmath.operations.*
object MSTAlgebra : NumericAlgebra<MST> {
override fun number(value: Number): MST = MST.Numeric(value)
override fun symbol(value: String): MST = MST.Symbolic(value)
override fun unaryOperation(operation: String, arg: MST): MST =
MST.Unary(operation, arg)
override fun binaryOperation(operation: String, left: MST, right: MST): MST =
MST.Binary(operation, left, right)
}
object MSTSpace : Space<MST>, NumericAlgebra<MST> {
override val zero: MST = number(0.0)
override fun number(value: Number): MST = MST.Numeric(value)
override fun symbol(value: String): MST = MST.Symbolic(value)
override fun add(a: MST, b: MST): MST =
binaryOperation(SpaceOperations.PLUS_OPERATION, a, b)
override fun multiply(a: MST, k: Number): MST =
binaryOperation(RingOperations.TIMES_OPERATION, a, number(k))
override fun binaryOperation(operation: String, left: MST, right: MST): MST =
MSTAlgebra.binaryOperation(operation, left, right)
override fun unaryOperation(operation: String, arg: MST): MST = MSTAlgebra.unaryOperation(operation, arg)
}
object MSTRing : Ring<MST>, NumericAlgebra<MST> {
override fun number(value: Number): MST = MST.Numeric(value)
override fun symbol(value: String): MST = MST.Symbolic(value)
override val zero: MST = MSTSpace.number(0.0)
override val one: MST = number(1.0)
override fun add(a: MST, b: MST): MST =
MSTAlgebra.binaryOperation(SpaceOperations.PLUS_OPERATION, a, b)
override fun multiply(a: MST, k: Number): MST =
MSTAlgebra.binaryOperation(RingOperations.TIMES_OPERATION, a, MSTSpace.number(k))
override fun multiply(a: MST, b: MST): MST =
binaryOperation(RingOperations.TIMES_OPERATION, a, b)
override fun binaryOperation(operation: String, left: MST, right: MST): MST =
MSTAlgebra.binaryOperation(operation, left, right)
}
object MSTField : Field<MST>{
override fun symbol(value: String): MST = MST.Symbolic(value)
override fun number(value: Number): MST = MST.Numeric(value)
override val zero: MST = MSTSpace.number(0.0)
override val one: MST = number(1.0)
override fun add(a: MST, b: MST): MST =
MSTAlgebra.binaryOperation(SpaceOperations.PLUS_OPERATION, a, b)
override fun multiply(a: MST, k: Number): MST =
MSTAlgebra.binaryOperation(RingOperations.TIMES_OPERATION, a, MSTSpace.number(k))
override fun multiply(a: MST, b: MST): MST =
binaryOperation(RingOperations.TIMES_OPERATION, a, b)
override fun divide(a: MST, b: MST): MST =
binaryOperation(FieldOperations.DIV_OPERATION, a, b)
override fun binaryOperation(operation: String, left: MST, right: MST): MST =
MSTAlgebra.binaryOperation(operation, left, right)
}

55
kmath-ast/src/commonMain/kotlin/scientifik/kmath/ast/MSTExpression.kt
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@ -1,55 +0,0 @@
package scientifik.kmath.ast
import scientifik.kmath.expressions.Expression
import scientifik.kmath.expressions.FunctionalExpressionField
import scientifik.kmath.expressions.FunctionalExpressionRing
import scientifik.kmath.expressions.FunctionalExpressionSpace
import scientifik.kmath.operations.*
/**
* The expression evaluates MST on-flight. Should be much faster than functional expression, but slower than ASM-generated expressions.
*/
class MSTExpression<T>(val algebra: Algebra<T>, val mst: MST) : Expression<T> {
/**
* Substitute algebra raw value
*/
private inner class InnerAlgebra(val arguments: Map<String, T>) : NumericAlgebra<T>{
override fun symbol(value: String): T = arguments[value] ?: algebra.symbol(value)
override fun unaryOperation(operation: String, arg: T): T = algebra.unaryOperation(operation, arg)
override fun binaryOperation(operation: String, left: T, right: T): T =algebra.binaryOperation(operation, left, right)
override fun number(value: Number): T = if(algebra is NumericAlgebra){
algebra.number(value)
} else{
error("Numeric nodes are not supported by $this")
}
}
override fun invoke(arguments: Map<String, T>): T = InnerAlgebra(arguments).evaluate(mst)
}
inline fun <reified T : Any, A : Algebra<T>, E : Algebra<MST>> A.mst(
mstAlgebra: E,
block: E.() -> MST
): MSTExpression<T> = MSTExpression(this, mstAlgebra.block())
inline fun <reified T : Any> Space<T>.mstInSpace(block: MSTSpace.() -> MST): MSTExpression<T> =
MSTExpression(this, MSTSpace.block())
inline fun <reified T : Any> Ring<T>.mstInRing(block: MSTRing.() -> MST): MSTExpression<T> =
MSTExpression(this, MSTRing.block())
inline fun <reified T : Any> Field<T>.mstInField(block: MSTField.() -> MST): MSTExpression<T> =
MSTExpression(this, MSTField.block())
inline fun <reified T: Any, A : Space<T>> FunctionalExpressionSpace<T, A>.mstInSpace(block: MSTSpace.() -> MST): MSTExpression<T> =
algebra.mstInSpace(block)
inline fun <reified T: Any, A : Ring<T>> FunctionalExpressionRing<T, A>.mstInRing(block: MSTRing.() -> MST): MSTExpression<T> =
algebra.mstInRing(block)
inline fun <reified T: Any, A : Field<T>> FunctionalExpressionField<T, A>.mstInField(block: MSTField.() -> MST): MSTExpression<T> =
algebra.mstInField(block)

72
kmath-ast/src/commonMain/kotlin/scientifik/kmath/ast/MstAlgebra.kt Normal file
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@ -0,0 +1,72 @@
package scientifik.kmath.ast
import scientifik.kmath.operations.*
object MstAlgebra : NumericAlgebra<MST> {
override fun number(value: Number): MST = MST.Numeric(value)
override fun symbol(value: String): MST = MST.Symbolic(value)
override fun unaryOperation(operation: String, arg: MST): MST =
MST.Unary(operation, arg)
override fun binaryOperation(operation: String, left: MST, right: MST): MST =
MST.Binary(operation, left, right)
}
object MstSpace : Space<MST>, NumericAlgebra<MST> {
override val zero: MST = number(0.0)
override fun number(value: Number): MST = MstAlgebra.number(value)
override fun symbol(value: String): MST = MstAlgebra.symbol(value)
override fun add(a: MST, b: MST): MST =
binaryOperation(SpaceOperations.PLUS_OPERATION, a, b)
override fun multiply(a: MST, k: Number): MST =
binaryOperation(RingOperations.TIMES_OPERATION, a, number(k))
override fun binaryOperation(operation: String, left: MST, right: MST): MST =
MstAlgebra.binaryOperation(operation, left, right)
override fun unaryOperation(operation: String, arg: MST): MST = MstAlgebra.unaryOperation(operation, arg)
}
object MstRing : Ring<MST>, NumericAlgebra<MST> {
override val zero: MST = number(0.0)
override val one: MST = number(1.0)
override fun number(value: Number): MST = MstAlgebra.number(value)
override fun symbol(value: String): MST = MstAlgebra.symbol(value)
override fun add(a: MST, b: MST): MST = binaryOperation(SpaceOperations.PLUS_OPERATION, a, b)
override fun multiply(a: MST, k: Number): MST =
binaryOperation(RingOperations.TIMES_OPERATION, a, MstSpace.number(k))
override fun multiply(a: MST, b: MST): MST = binaryOperation(RingOperations.TIMES_OPERATION, a, b)
override fun binaryOperation(operation: String, left: MST, right: MST): MST =
MstAlgebra.binaryOperation(operation, left, right)
override fun unaryOperation(operation: String, arg: MST): MST = MstAlgebra.unaryOperation(operation, arg)
}
object MstField : Field<MST> {
override val zero: MST = number(0.0)
override val one: MST = number(1.0)
override fun symbol(value: String): MST = MstAlgebra.symbol(value)
override fun number(value: Number): MST = MstAlgebra.number(value)
override fun add(a: MST, b: MST): MST = binaryOperation(SpaceOperations.PLUS_OPERATION, a, b)
override fun multiply(a: MST, k: Number): MST =
binaryOperation(RingOperations.TIMES_OPERATION, a, MstSpace.number(k))
override fun multiply(a: MST, b: MST): MST = binaryOperation(RingOperations.TIMES_OPERATION, a, b)
override fun divide(a: MST, b: MST): MST = binaryOperation(FieldOperations.DIV_OPERATION, a, b)
override fun binaryOperation(operation: String, left: MST, right: MST): MST =
MstAlgebra.binaryOperation(operation, left, right)
override fun unaryOperation(operation: String, arg: MST): MST = MstAlgebra.unaryOperation(operation, arg)
}

55
kmath-ast/src/commonMain/kotlin/scientifik/kmath/ast/MstExpression.kt Normal file
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@ -0,0 +1,55 @@
package scientifik.kmath.ast
import scientifik.kmath.expressions.Expression
import scientifik.kmath.expressions.FunctionalExpressionField
import scientifik.kmath.expressions.FunctionalExpressionRing
import scientifik.kmath.expressions.FunctionalExpressionSpace
import scientifik.kmath.operations.*
/**
* The expression evaluates MST on-flight. Should be much faster than functional expression, but slower than ASM-generated expressions.
*/
class MstExpression<T>(val algebra: Algebra<T>, val mst: MST) : Expression<T> {
/**
* Substitute algebra raw value
*/
private inner class InnerAlgebra(val arguments: Map<String, T>) : NumericAlgebra<T> {
override fun symbol(value: String): T = arguments[value] ?: algebra.symbol(value)
override fun unaryOperation(operation: String, arg: T): T = algebra.unaryOperation(operation, arg)
override fun binaryOperation(operation: String, left: T, right: T): T =
algebra.binaryOperation(operation, left, right)
override fun number(value: Number): T = if (algebra is NumericAlgebra)
algebra.number(value)
else
error("Numeric nodes are not supported by $this")
}
override fun invoke(arguments: Map<String, T>): T = InnerAlgebra(arguments).evaluate(mst)
}
inline fun <reified T : Any, A : Algebra<T>, E : Algebra<MST>> A.mst(
mstAlgebra: E,
block: E.() -> MST
): MstExpression<T> = MstExpression(this, mstAlgebra.block())
inline fun <reified T : Any> Space<T>.mstInSpace(block: MstSpace.() -> MST): MstExpression<T> =
MstExpression(this, MstSpace.block())
inline fun <reified T : Any> Ring<T>.mstInRing(block: MstRing.() -> MST): MstExpression<T> =
MstExpression(this, MstRing.block())
inline fun <reified T : Any> Field<T>.mstInField(block: MstField.() -> MST): MstExpression<T> =
MstExpression(this, MstField.block())
inline fun <reified T : Any, A : Space<T>> FunctionalExpressionSpace<T, A>.mstInSpace(block: MstSpace.() -> MST): MstExpression<T> =
algebra.mstInSpace(block)
inline fun <reified T : Any, A : Ring<T>> FunctionalExpressionRing<T, A>.mstInRing(block: MstRing.() -> MST): MstExpression<T> =
algebra.mstInRing(block)
inline fun <reified T : Any, A : Field<T>> FunctionalExpressionField<T, A>.mstInField(block: MstField.() -> MST): MstExpression<T> =
algebra.mstInField(block)

18
kmath-ast/src/commonMain/kotlin/scientifik/kmath/ast/parser.kt
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@ -16,15 +16,15 @@ import scientifik.kmath.operations.SpaceOperations
* TODO move to common
*/
private object ArithmeticsEvaluator : Grammar<MST>() {
val num by token("-?[\\d.]+(?:[eE]-?\\d+)?")
val lpar by token("\\(")
val rpar by token("\\)")
val mul by token("\\*")
val pow by token("\\^")
val div by token("/")
val minus by token("-")
val plus by token("\\+")
val ws by token("\\s+", ignore = true)
val num by token("-?[\\d.]+(?:[eE]-?\\d+)?".toRegex())
val lpar by token("\\(".toRegex())
val rpar by token("\\)".toRegex())
val mul by token("\\*".toRegex())
val pow by token("\\^".toRegex())
val div by token("/".toRegex())
val minus by token("-".toRegex())
val plus by token("\\+".toRegex())
val ws by token("\\s+".toRegex(), ignore = true)
val number: Parser<MST> by num use { MST.Numeric(text.toDouble()) }

56
kmath-ast/src/jvmMain/kotlin/scientifik/kmath/asm/asm.kt
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@ -1,12 +1,10 @@
package scientifik.kmath.asm
import org.objectweb.asm.Type
import scientifik.kmath.asm.internal.AsmBuilder
import scientifik.kmath.asm.internal.buildExpectationStack
import scientifik.kmath.asm.internal.buildAlgebraOperationCall
import scientifik.kmath.asm.internal.buildName
import scientifik.kmath.asm.internal.tryInvokeSpecific
import scientifik.kmath.ast.MST
import scientifik.kmath.ast.MSTExpression
import scientifik.kmath.ast.MstExpression
import scientifik.kmath.expressions.Expression
import scientifik.kmath.operations.Algebra
import scientifik.kmath.operations.NumericAlgebra
@ -29,43 +27,21 @@ fun <T : Any> MST.compileWith(type: KClass<T>, algebra: Algebra<T>): Expression<
loadTConstant(constant)
}
is MST.Unary -> {
loadAlgebra()
if (!buildExpectationStack(algebra, node.operation, 1)) loadStringConstant(node.operation)
visit(node.value)
is MST.Unary -> buildAlgebraOperationCall(
context = algebra,
name = node.operation,
fallbackMethodName = "unaryOperation",
arity = 1
) { visit(node.value) }
if (!tryInvokeSpecific(algebra, node.operation, 1)) invokeAlgebraOperation(
owner = AsmBuilder.ALGEBRA_TYPE.internalName,
method = "unaryOperation",
descriptor = Type.getMethodDescriptor(
AsmBuilder.OBJECT_TYPE,
AsmBuilder.STRING_TYPE,
AsmBuilder.OBJECT_TYPE
),
tArity = 1
)
}
is MST.Binary -> {
loadAlgebra()
if (!buildExpectationStack(algebra, node.operation, 2)) loadStringConstant(node.operation)
is MST.Binary -> buildAlgebraOperationCall(
context = algebra,
name = node.operation,
fallbackMethodName = "binaryOperation",
arity = 2
) {
visit(node.left)
visit(node.right)
if (!tryInvokeSpecific(algebra, node.operation, 2)) invokeAlgebraOperation(
owner = AsmBuilder.ALGEBRA_TYPE.internalName,
method = "binaryOperation",
descriptor = Type.getMethodDescriptor(
AsmBuilder.OBJECT_TYPE,
AsmBuilder.STRING_TYPE,
AsmBuilder.OBJECT_TYPE,
AsmBuilder.OBJECT_TYPE
),
tArity = 2
)
}
}
}
@ -79,6 +55,6 @@ fun <T : Any> MST.compileWith(type: KClass<T>, algebra: Algebra<T>): Expression<
inline fun <reified T : Any> Algebra<T>.expression(mst: MST): Expression<T> = mst.compileWith(T::class, this)
/**
* Optimize performance of an [MSTExpression] using ASM codegen
* Optimize performance of an [MstExpression] using ASM codegen
*/
inline fun <reified T : Any> MSTExpression<T>.compile(): Expression<T> = mst.compileWith(T::class, algebra)
inline fun <reified T : Any> MstExpression<T>.compile(): Expression<T> = mst.compileWith(T::class, algebra)

183
kmath-ast/src/jvmMain/kotlin/scientifik/kmath/asm/internal/AsmBuilder.kt
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@ -1,8 +1,7 @@
package scientifik.kmath.asm.internal
import org.objectweb.asm.*
import org.objectweb.asm.Opcodes.AALOAD
import org.objectweb.asm.Opcodes.RETURN
import org.objectweb.asm.Opcodes.*
import org.objectweb.asm.commons.InstructionAdapter
import scientifik.kmath.asm.internal.AsmBuilder.ClassLoader
import scientifik.kmath.ast.MST
@ -18,6 +17,7 @@ import kotlin.reflect.KClass
* @param T the type of AsmExpression to unwrap.
* @param algebra the algebra the applied AsmExpressions use.
* @param className the unique class name of new loaded class.
* @param invokeLabel0Visitor the function to apply to this object when generating invoke method, label 0.
*/
internal class AsmBuilder<T> internal constructor(
private val classOfT: KClass<*>,
@ -37,8 +37,19 @@ internal class AsmBuilder<T> internal constructor(
*/
private val classLoader: ClassLoader = ClassLoader(javaClass.classLoader)
/**
* ASM Type for [algebra]
*/
private val tAlgebraType: Type = algebra::class.asm
/**
* ASM type for [T]
*/
internal val tType: Type = classOfT.asm
/**
* ASM type for new class
*/
private val classType: Type = Type.getObjectType(className.replace(oldChar = '.', newChar = '/'))!!
/**
@ -60,15 +71,31 @@ internal class AsmBuilder<T> internal constructor(
* Method visitor of `invoke` method of the subclass.
*/
private lateinit var invokeMethodVisitor: InstructionAdapter
internal var primitiveMode = false
@Suppress("PropertyName")
internal var PRIMITIVE_MASK: Type = OBJECT_TYPE
/**
* State if [T] a primitive type, so [AsmBuilder] may generate direct primitive calls.
*/
internal var primitiveMode: Boolean = false
@Suppress("PropertyName")
internal var PRIMITIVE_MASK_BOXED: Type = OBJECT_TYPE
private val typeStack = Stack<Type>()
internal val expectationStack: Stack<Type> = Stack<Type>().apply { push(tType) }
/**
* Primitive type to apple for specific primitive calls. Use [OBJECT_TYPE], if not in [primitiveMode].
*/
internal var primitiveMask: Type = OBJECT_TYPE
/**
* Boxed primitive type to apple for specific primitive calls. Use [OBJECT_TYPE], if not in [primitiveMode].
*/
internal var primitiveMaskBoxed: Type = OBJECT_TYPE
/**
* Stack of useful objects types on stack to verify types.
*/
private val typeStack: ArrayDeque<Type> = ArrayDeque()
/**
* Stack of useful objects types on stack expected by algebra calls.
*/
internal val expectationStack: ArrayDeque<Type> = ArrayDeque<Type>().apply { push(tType) }
/**
* The cache for instance built by this builder.
@ -86,14 +113,14 @@ internal class AsmBuilder<T> internal constructor(
if (SIGNATURE_LETTERS.containsKey(classOfT)) {
primitiveMode = true
PRIMITIVE_MASK = SIGNATURE_LETTERS.getValue(classOfT)
PRIMITIVE_MASK_BOXED = tType
primitiveMask = SIGNATURE_LETTERS.getValue(classOfT)
primitiveMaskBoxed = tType
}
val classWriter = ClassWriter(ClassWriter.COMPUTE_FRAMES) {
visit(
Opcodes.V1_8,
Opcodes.ACC_PUBLIC or Opcodes.ACC_FINAL or Opcodes.ACC_SUPER,
V1_8,
ACC_PUBLIC or ACC_FINAL or ACC_SUPER,
classType.internalName,
"${OBJECT_TYPE.descriptor}L${EXPRESSION_TYPE.internalName}<${tType.descriptor}>;",
OBJECT_TYPE.internalName,
@ -101,7 +128,7 @@ internal class AsmBuilder<T> internal constructor(
)
visitField(
access = Opcodes.ACC_PRIVATE or Opcodes.ACC_FINAL,
access = ACC_PRIVATE or ACC_FINAL,
name = "algebra",
descriptor = tAlgebraType.descriptor,
signature = null,
@ -110,7 +137,7 @@ internal class AsmBuilder<T> internal constructor(
)
visitField(
access = Opcodes.ACC_PRIVATE or Opcodes.ACC_FINAL,
access = ACC_PRIVATE or ACC_FINAL,
name = "constants",
descriptor = OBJECT_ARRAY_TYPE.descriptor,
signature = null,
@ -119,7 +146,7 @@ internal class AsmBuilder<T> internal constructor(
)
visitMethod(
Opcodes.ACC_PUBLIC,
ACC_PUBLIC,
"<init>",
Type.getMethodDescriptor(Type.VOID_TYPE, tAlgebraType, OBJECT_ARRAY_TYPE),
null,
@ -159,7 +186,7 @@ internal class AsmBuilder<T> internal constructor(
}
visitMethod(
Opcodes.ACC_PUBLIC or Opcodes.ACC_FINAL,
ACC_PUBLIC or ACC_FINAL,
"invoke",
Type.getMethodDescriptor(tType, MAP_TYPE),
"(L${MAP_TYPE.internalName}<${STRING_TYPE.descriptor}+${tType.descriptor}>;)${tType.descriptor}",
@ -195,7 +222,7 @@ internal class AsmBuilder<T> internal constructor(
}
visitMethod(
Opcodes.ACC_PUBLIC or Opcodes.ACC_FINAL or Opcodes.ACC_BRIDGE or Opcodes.ACC_SYNTHETIC,
ACC_PUBLIC or ACC_FINAL or ACC_BRIDGE or ACC_SYNTHETIC,
"invoke",
Type.getMethodDescriptor(OBJECT_TYPE, MAP_TYPE),
null,
@ -238,34 +265,43 @@ internal class AsmBuilder<T> internal constructor(
}
/**
* Loads a constant from
* Loads a [T] constant from [constants].
*/
internal fun loadTConstant(value: T) {
if (classOfT in INLINABLE_NUMBERS) {
val expectedType = expectationStack.pop()!!
val expectedType = expectationStack.pop()
val mustBeBoxed = expectedType.sort == Type.OBJECT
loadNumberConstant(value as Number, mustBeBoxed)
if (mustBeBoxed) typeStack.push(tType) else typeStack.push(PRIMITIVE_MASK)
if (mustBeBoxed) typeStack.push(tType) else typeStack.push(primitiveMask)
return
}
loadConstant(value as Any, tType)
}
/**
* Boxes the current value and pushes it.
*/
private fun box(): Unit = invokeMethodVisitor.invokestatic(
tType.internalName,
"valueOf",
Type.getMethodDescriptor(tType, PRIMITIVE_MASK),
Type.getMethodDescriptor(tType, primitiveMask),
false
)
/**
* Unboxes the current boxed value and pushes it.
*/
private fun unbox(): Unit = invokeMethodVisitor.invokevirtual(
NUMBER_TYPE.internalName,
NUMBER_CONVERTER_METHODS.getValue(PRIMITIVE_MASK),
Type.getMethodDescriptor(PRIMITIVE_MASK),
NUMBER_CONVERTER_METHODS.getValue(primitiveMask),
Type.getMethodDescriptor(primitiveMask),
false
)
/**
* Loads [java.lang.Object] constant from constants.
*/
private fun loadConstant(value: Any, type: Type): Unit = invokeMethodVisitor.run {
val idx = if (value in constants) constants.indexOf(value) else constants.apply { add(value) }.lastIndex
loadThis()
@ -275,6 +311,9 @@ internal class AsmBuilder<T> internal constructor(
checkcast(type)
}
/**
* Loads this variable.
*/
private fun loadThis(): Unit = invokeMethodVisitor.load(invokeThisVar, classType)
/**
@ -305,46 +344,40 @@ internal class AsmBuilder<T> internal constructor(
}
loadConstant(value, boxed)
if (!mustBeBoxed) unbox()
else invokeMethodVisitor.checkcast(tType)
}
/**
* Loads a variable [name] arguments [Map] parameter of [Expression.invoke]. The [defaultValue] may be provided.
* Loads a variable [name] from arguments [Map] parameter of [Expression.invoke]. The [defaultValue] may be
* provided.
*/
internal fun loadVariable(name: String, defaultValue: T? = null): Unit = invokeMethodVisitor.run {
load(invokeArgumentsVar, OBJECT_ARRAY_TYPE)
load(invokeArgumentsVar, MAP_TYPE)
aconst(name)
if (defaultValue != null) {
loadStringConstant(name)
if (defaultValue != null)
loadTConstant(defaultValue)
else
aconst(null)
invokeinterface(
MAP_TYPE.internalName,
"getOrDefault",
Type.getMethodDescriptor(OBJECT_TYPE, OBJECT_TYPE, OBJECT_TYPE)
)
invokeMethodVisitor.checkcast(tType)
return
}
loadStringConstant(name)
invokeinterface(
MAP_TYPE.internalName,
"get",
Type.getMethodDescriptor(OBJECT_TYPE, OBJECT_TYPE)
invokestatic(
MAP_INTRINSICS_TYPE.internalName,
"getOrFail",
Type.getMethodDescriptor(OBJECT_TYPE, MAP_TYPE, OBJECT_TYPE, OBJECT_TYPE),
false
)
invokeMethodVisitor.checkcast(tType)
val expectedType = expectationStack.pop()!!
checkcast(tType)
val expectedType = expectationStack.pop()
if (expectedType.sort == Type.OBJECT)
typeStack.push(tType)
else {
unbox()
typeStack.push(PRIMITIVE_MASK)
typeStack.push(primitiveMask)
}
}
@ -358,7 +391,7 @@ internal class AsmBuilder<T> internal constructor(
/**
* Writes a method instruction of opcode with its [owner], [method] and its [descriptor]. The default opcode is
* [Opcodes.INVOKEINTERFACE], since most Algebra functions are declared in interface. [loadAlgebra] should be
* [Opcodes.INVOKEINTERFACE], since most Algebra functions are declared in interfaces. [loadAlgebra] should be
* called before the arguments and this operation.
*
* The result is casted to [T] automatically.
@ -367,12 +400,12 @@ internal class AsmBuilder<T> internal constructor(
owner: String,
method: String,
descriptor: String,
tArity: Int,
opcode: Int = Opcodes.INVOKEINTERFACE
expectedArity: Int,
opcode: Int = INVOKEINTERFACE
) {
run loop@{
repeat(tArity) {
if (typeStack.empty()) return@loop
repeat(expectedArity) {
if (typeStack.isEmpty()) return@loop
typeStack.pop()
}
}
@ -382,18 +415,18 @@ internal class AsmBuilder<T> internal constructor(
owner,
method,
descriptor,
opcode == Opcodes.INVOKEINTERFACE
opcode == INVOKEINTERFACE
)
invokeMethodVisitor.checkcast(tType)
val isLastExpr = expectationStack.size == 1
val expectedType = expectationStack.pop()!!
val expectedType = expectationStack.pop()
if (expectedType.sort == Type.OBJECT || isLastExpr)
typeStack.push(tType)
else {
unbox()
typeStack.push(PRIMITIVE_MASK)
typeStack.push(primitiveMask)
}
}
@ -404,7 +437,7 @@ internal class AsmBuilder<T> internal constructor(
internal companion object {
/**
* Maps JVM primitive numbers boxed types to their letters of JVM signature convention.
* Maps JVM primitive numbers boxed types to their primitive ASM types.
*/
private val SIGNATURE_LETTERS: Map<KClass<out Any>, Type> by lazy {
hashMapOf(
@ -417,8 +450,14 @@ internal class AsmBuilder<T> internal constructor(
)
}
/**
* Maps JVM primitive numbers boxed ASM types to their primitive ASM types.
*/
private val BOXED_TO_PRIMITIVES: Map<Type, Type> by lazy { SIGNATURE_LETTERS.mapKeys { (k, _) -> k.asm } }
/**
* Maps primitive ASM types to [Number] functions unboxing them.
*/
private val NUMBER_CONVERTER_METHODS: Map<Type, String> by lazy {
hashMapOf(
Type.BYTE_TYPE to "byteValue",
@ -434,14 +473,46 @@ internal class AsmBuilder<T> internal constructor(
* Provides boxed number types values of which can be stored in JVM bytecode constant pool.
*/
private val INLINABLE_NUMBERS: Set<KClass<out Any>> by lazy { SIGNATURE_LETTERS.keys }
/**
* ASM type for [Expression].
*/
internal val EXPRESSION_TYPE: Type by lazy { Expression::class.asm }
/**
* ASM type for [java.lang.Number].
*/
internal val NUMBER_TYPE: Type by lazy { java.lang.Number::class.asm }
/**
* ASM type for [java.util.Map].
*/
internal val MAP_TYPE: Type by lazy { java.util.Map::class.asm }
/**
* ASM type for [java.lang.Object].
*/
internal val OBJECT_TYPE: Type by lazy { java.lang.Object::class.asm }
/**
* ASM type for array of [java.lang.Object].
*/
@Suppress("PLATFORM_CLASS_MAPPED_TO_KOTLIN", "RemoveRedundantQualifierName")
internal val OBJECT_ARRAY_TYPE: Type by lazy { Array<java.lang.Object>::class.asm }
/**
* ASM type for [Algebra].
*/
internal val ALGEBRA_TYPE: Type by lazy { Algebra::class.asm }
/**
* ASM type for [java.lang.String].
*/
internal val STRING_TYPE: Type by lazy { java.lang.String::class.asm }
/**
* ASM type for MapIntrinsics.
*/
internal val MAP_INTRINSICS_TYPE: Type by lazy { Type.getObjectType("scientifik/kmath/asm/internal/MapIntrinsics") }
}
}

22
kmath-ast/src/jvmMain/kotlin/scientifik/kmath/asm/internal/buildName.kt
View File

@ -1,22 +0,0 @@
package scientifik.kmath.asm.internal
import scientifik.kmath.ast.MST
import scientifik.kmath.expressions.Expression
/**
* Creates a class name for [Expression] subclassed to implement [mst] provided.
*
* This methods helps to avoid collisions of class name to prevent loading several classes with the same name. If there
* is a colliding class, change [collision] parameter or leave it `0` to check existing classes recursively.
*/
internal tailrec fun buildName(mst: MST, collision: Int = 0): String {
val name = "scientifik.kmath.asm.generated.AsmCompiledExpression_${mst.hashCode()}_$collision"
try {
Class.forName(name)
} catch (ignored: ClassNotFoundException) {
return name
}
return buildName(mst, collision + 1)
}

17
kmath-ast/src/jvmMain/kotlin/scientifik/kmath/asm/internal/classWriters.kt
View File

@ -1,17 +0,0 @@
package scientifik.kmath.asm.internal
import org.objectweb.asm.ClassWriter
import org.objectweb.asm.FieldVisitor
import org.objectweb.asm.MethodVisitor
internal inline fun ClassWriter(flags: Int, block: ClassWriter.() -> Unit): ClassWriter =
ClassWriter(flags).apply(block)
internal inline fun ClassWriter.visitField(
access: Int,
name: String,
descriptor: String,
signature: String?,
value: Any?,
block: FieldVisitor.() -> Unit
): FieldVisitor = visitField(access, name, descriptor, signature, value).apply(block)

7
kmath-ast/src/jvmMain/kotlin/scientifik/kmath/asm/internal/classes.kt
View File

@ -1,7 +0,0 @@
package scientifik.kmath.asm.internal
import org.objectweb.asm.Type
import kotlin.reflect.KClass
internal val KClass<*>.asm: Type
get() = Type.getType(java)

148
kmath-ast/src/jvmMain/kotlin/scientifik/kmath/asm/internal/codegenUtils.kt Normal file
View File

@ -0,0 +1,148 @@
package scientifik.kmath.asm.internal
import org.objectweb.asm.*
import org.objectweb.asm.Opcodes.INVOKEVIRTUAL
import org.objectweb.asm.commons.InstructionAdapter
import scientifik.kmath.ast.MST
import scientifik.kmath.expressions.Expression
import scientifik.kmath.operations.Algebra
import kotlin.reflect.KClass
private val methodNameAdapters: Map<Pair<String, Int>, String> by lazy {
hashMapOf(
"+" to 2 to "add",
"*" to 2 to "multiply",
"/" to 2 to "divide",
"+" to 1 to "unaryPlus",
"-" to 1 to "unaryMinus",
"-" to 2 to "minus"
)
}
internal val KClass<*>.asm: Type
get() = Type.getType(java)
/**
* Creates an [InstructionAdapter] from this [MethodVisitor].
*/
private fun MethodVisitor.instructionAdapter(): InstructionAdapter = InstructionAdapter(this)
/**
* Creates an [InstructionAdapter] from this [MethodVisitor] and applies [block] to it.
*/
internal fun MethodVisitor.instructionAdapter(block: InstructionAdapter.() -> Unit): InstructionAdapter =
instructionAdapter().apply(block)
/**
* Constructs a [Label], then applies it to this visitor.
*/
internal fun MethodVisitor.label(): Label {
val l = Label()
visitLabel(l)
return l
}
/**
* Creates a class name for [Expression] subclassed to implement [mst] provided.
*
* This methods helps to avoid collisions of class name to prevent loading several classes with the same name. If there
* is a colliding class, change [collision] parameter or leave it `0` to check existing classes recursively.
*/
internal tailrec fun buildName(mst: MST, collision: Int = 0): String {
val name = "scientifik.kmath.asm.generated.AsmCompiledExpression_${mst.hashCode()}_$collision"
try {
Class.forName(name)
} catch (ignored: ClassNotFoundException) {
return name
}
return buildName(mst, collision + 1)
}
@Suppress("FunctionName")
internal inline fun ClassWriter(flags: Int, block: ClassWriter.() -> Unit): ClassWriter =
ClassWriter(flags).apply(block)
internal inline fun ClassWriter.visitField(
access: Int,
name: String,
descriptor: String,
signature: String?,
value: Any?,
block: FieldVisitor.() -> Unit
): FieldVisitor = visitField(access, name, descriptor, signature, value).apply(block)
/**
* Checks if the target [context] for code generation contains a method with needed [name] and [arity], also builds
* type expectation stack for needed arity.
*
* @return `true` if contains, else `false`.
*/
private fun <T> AsmBuilder<T>.buildExpectationStack(context: Algebra<T>, name: String, arity: Int): Boolean {
val theName = methodNameAdapters[name to arity] ?: name
val hasSpecific = context.javaClass.methods.find { it.name == theName && it.parameters.size == arity } != null
val t = if (primitiveMode && hasSpecific) primitiveMask else tType
repeat(arity) { expectationStack.push(t) }
return hasSpecific
}
/**
* Checks if the target [context] for code generation contains a method with needed [name] and [arity] and inserts
* [AsmBuilder.invokeAlgebraOperation] of this method.
*
* @return `true` if contains, else `false`.
*/
private fun <T> AsmBuilder<T>.tryInvokeSpecific(context: Algebra<T>, name: String, arity: Int): Boolean {
val theName = methodNameAdapters[name to arity] ?: name
context.javaClass.methods.find {
var suitableSignature = it.name == theName && it.parameters.size == arity
if (primitiveMode && it.isBridge)
suitableSignature = false
suitableSignature
} ?: return false
val owner = context::class.asm
invokeAlgebraOperation(
owner = owner.internalName,
method = theName,
descriptor = Type.getMethodDescriptor(primitiveMaskBoxed, *Array(arity) { primitiveMask }),
expectedArity = arity,
opcode = INVOKEVIRTUAL
)
return true
}
/**
* Builds specialized algebra call with option to fallback to generic algebra operation accepting String.
*/
internal fun <T> AsmBuilder<T>.buildAlgebraOperationCall(
context: Algebra<T>,
name: String,
fallbackMethodName: String,
arity: Int,
parameters: AsmBuilder<T>.() -> Unit
) {
loadAlgebra()
if (!buildExpectationStack(context, name, arity)) loadStringConstant(name)
parameters()
if (!tryInvokeSpecific(context, name, arity)) invokeAlgebraOperation(
owner = AsmBuilder.ALGEBRA_TYPE.internalName,
method = fallbackMethodName,
descriptor = Type.getMethodDescriptor(
AsmBuilder.OBJECT_TYPE,
AsmBuilder.STRING_TYPE,
*Array(arity) { AsmBuilder.OBJECT_TYPE }
),
expectedArity = arity
)
}

7
kmath-ast/src/jvmMain/kotlin/scientifik/kmath/asm/internal/mapIntrinsics.kt Normal file
View File

@ -0,0 +1,7 @@
@file:JvmName("MapIntrinsics")
package scientifik.kmath.asm.internal
internal fun <K, V> Map<K, V>.getOrFail(key: K, default: V?): V {
return this[key] ?: default ?: error("Parameter not found: $key")
}

9
kmath-ast/src/jvmMain/kotlin/scientifik/kmath/asm/internal/methodVisitors.kt
View File

@ -1,9 +0,0 @@
package scientifik.kmath.asm.internal
import org.objectweb.asm.MethodVisitor
import org.objectweb.asm.commons.InstructionAdapter
internal fun MethodVisitor.instructionAdapter(): InstructionAdapter = InstructionAdapter(this)
internal fun MethodVisitor.instructionAdapter(block: InstructionAdapter.() -> Unit): InstructionAdapter =
instructionAdapter().apply(block)

61
kmath-ast/src/jvmMain/kotlin/scientifik/kmath/asm/internal/specialization.kt
View File

@ -1,61 +0,0 @@
package scientifik.kmath.asm.internal
import org.objectweb.asm.Opcodes
import org.objectweb.asm.Type
import scientifik.kmath.operations.Algebra
private val methodNameAdapters: Map<String, String> by lazy {
hashMapOf(
"+" to "add",
"*" to "multiply",
"/" to "divide"
)
}
/**
* Checks if the target [context] for code generation contains a method with needed [name] and [arity], also builds
* type expectation stack for needed arity.
*
* @return `true` if contains, else `false`.
*/
internal fun <T> AsmBuilder<T>.buildExpectationStack(context: Algebra<T>, name: String, arity: Int): Boolean {
val aName = methodNameAdapters[name] ?: name
val hasSpecific = context.javaClass.methods.find { it.name == aName && it.parameters.size == arity } != null
val t = if (primitiveMode && hasSpecific) PRIMITIVE_MASK else tType
repeat(arity) { expectationStack.push(t) }
return hasSpecific
}
/**
* Checks if the target [context] for code generation contains a method with needed [name] and [arity] and inserts
* [AsmBuilder.invokeAlgebraOperation] of this method.
*
* @return `true` if contains, else `false`.
*/
internal fun <T> AsmBuilder<T>.tryInvokeSpecific(context: Algebra<T>, name: String, arity: Int): Boolean {
val aName = methodNameAdapters[name] ?: name
val method =
context.javaClass.methods.find {
var suitableSignature = it.name == aName && it.parameters.size == arity
if (primitiveMode && it.isBridge)
suitableSignature = false
suitableSignature
} ?: return false
val owner = context::class.java.name.replace('.', '/')
invokeAlgebraOperation(
owner = owner,
method = aName,
descriptor = Type.getMethodDescriptor(PRIMITIVE_MASK_BOXED, *Array(arity) { PRIMITIVE_MASK }),
tArity = arity,
opcode = Opcodes.INVOKEVIRTUAL
)
return true
}

10
kmath-ast/src/jvmTest/kotlin/scietifik/kmath/asm/TestAsmAlgebras.kt
View File

@ -10,7 +10,7 @@ import scientifik.kmath.operations.RealField
import kotlin.test.Test
import kotlin.test.assertEquals
class TestAsmAlgebras {
internal class TestAsmAlgebras {
@Test
fun space() {
val res1 = ByteRing.mstInSpace {
@ -92,8 +92,8 @@ class TestAsmAlgebras {
"+",
(3.0 - (symbol("x") + (multiply(add(number(1.0), number(1.0)), 2) + 1.0))) * 3 - 1.0
+ number(1),
1 / 2 + number(2.0) * one
)
number(1) / 2 + number(2.0) * one
) + zero
}("x" to 2.0)
val res2 = RealField.mstInField {
@ -101,8 +101,8 @@ class TestAsmAlgebras {
"+",
(3.0 - (symbol("x") + (multiply(add(number(1.0), number(1.0)), 2) + 1.0))) * 3 - 1.0
+ number(1),
1 / 2 + number(2.0) * one
)
number(1) / 2 + number(2.0) * one
) + zero
}.compile()("x" to 2.0)
assertEquals(res1, res2)

2
kmath-ast/src/jvmTest/kotlin/scietifik/kmath/asm/TestAsmExpressions.kt
View File

@ -8,7 +8,7 @@ import scientifik.kmath.operations.RealField
import kotlin.test.Test
import kotlin.test.assertEquals
class TestAsmExpressions {
internal class TestAsmExpressions {
@Test
fun testUnaryOperationInvocation() {
val expression = RealField.mstInSpace { -symbol("x") }.compile()

46
kmath-ast/src/jvmTest/kotlin/scietifik/kmath/asm/TestAsmSpecialization.kt Normal file
View File

@ -0,0 +1,46 @@
package scietifik.kmath.asm
import scientifik.kmath.asm.compile
import scientifik.kmath.ast.mstInField
import scientifik.kmath.expressions.invoke
import scientifik.kmath.operations.RealField
import kotlin.test.Test
import kotlin.test.assertEquals
internal class TestAsmSpecialization {
@Test
fun testUnaryPlus() {
val expr = RealField.mstInField { unaryOperation("+", symbol("x")) }.compile()
assertEquals(2.0, expr("x" to 2.0))
}
@Test
fun testUnaryMinus() {
val expr = RealField.mstInField { unaryOperation("-", symbol("x")) }.compile()
assertEquals(-2.0, expr("x" to 2.0))
}
@Test
fun testAdd() {
val expr = RealField.mstInField { binaryOperation("+", symbol("x"), symbol("x")) }.compile()
assertEquals(4.0, expr("x" to 2.0))
}
@Test
fun testSine() {
val expr = RealField.mstInField { unaryOperation("sin", symbol("x")) }.compile()
assertEquals(0.0, expr("x" to 0.0))
}
@Test
fun testMinus() {
val expr = RealField.mstInField { binaryOperation("-", symbol("x"), symbol("x")) }.compile()
assertEquals(0.0, expr("x" to 2.0))
}
@Test
fun testDivide() {
val expr = RealField.mstInField { binaryOperation("/", symbol("x"), symbol("x")) }.compile()
assertEquals(1.0, expr("x" to 2.0))
}
}

22
kmath-ast/src/jvmTest/kotlin/scietifik/kmath/asm/TestAsmVariables.kt Normal file
View File

@ -0,0 +1,22 @@
package scietifik.kmath.asm
import scientifik.kmath.ast.mstInRing
import scientifik.kmath.expressions.invoke
import scientifik.kmath.operations.ByteRing
import kotlin.test.Test
import kotlin.test.assertEquals
import kotlin.test.assertFailsWith
internal class TestAsmVariables {
@Test
fun testVariableWithoutDefault() {
val expr = ByteRing.mstInRing { symbol("x") }
assertEquals(1.toByte(), expr("x" to 1.toByte()))
}
@Test
fun testVariableWithoutDefaultFails() {
val expr = ByteRing.mstInRing { symbol("x") }
assertFailsWith<IllegalStateException> { expr() }
}
}

2
kmath-ast/src/jvmTest/kotlin/scietifik/kmath/ast/AsmTest.kt
View File

@ -10,7 +10,7 @@ import scientifik.kmath.operations.ComplexField
import kotlin.test.Test
import kotlin.test.assertEquals
class AsmTest {
internal class AsmTest {
@Test
fun `compile MST`() {
val mst = "2+2*(2+2)".parseMath()

38
kmath-commons/src/main/kotlin/scientifik/kmath/commons/random/CMRandomGeneratorWrapper.kt Normal file
View File

@ -0,0 +1,38 @@
package scientifik.kmath.commons.random
import scientifik.kmath.prob.RandomGenerator
class CMRandomGeneratorWrapper(val factory: (IntArray) -> RandomGenerator) :
org.apache.commons.math3.random.RandomGenerator {
private var generator = factory(intArrayOf())
override fun nextBoolean(): Boolean = generator.nextBoolean()
override fun nextFloat(): Float = generator.nextDouble().toFloat()
override fun setSeed(seed: Int) {
generator = factory(intArrayOf(seed))
}
override fun setSeed(seed: IntArray) {
generator = factory(seed)
}
override fun setSeed(seed: Long) {
setSeed(seed.toInt())
}
override fun nextBytes(bytes: ByteArray) {
generator.fillBytes(bytes)
}
override fun nextInt(): Int = generator.nextInt()
override fun nextInt(n: Int): Int = generator.nextInt(n)
override fun nextGaussian(): Double = TODO()
override fun nextDouble(): Double = generator.nextDouble()
override fun nextLong(): Long = generator.nextLong()
}

2
kmath-commons/src/main/kotlin/scientifik/kmath/commons/transform/Transformations.kt
View File

@ -18,7 +18,7 @@ object Transformations {
private fun Buffer<Complex>.toArray(): Array<org.apache.commons.math3.complex.Complex> =
Array(size) { org.apache.commons.math3.complex.Complex(get(it).re, get(it).im) }
private fun Buffer<Double>.asArray() = if (this is DoubleBuffer) {
private fun Buffer<Double>.asArray() = if (this is RealBuffer) {
array
} else {
DoubleArray(size) { i -> get(i) }

15
kmath-core/src/commonMain/kotlin/scientifik/kmath/domains/Domain.kt Normal file
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@ -0,0 +1,15 @@
package scientifik.kmath.domains
import scientifik.kmath.linear.Point
/**
* A simple geometric domain
*/
interface Domain<T : Any> {
operator fun contains(point: Point<T>): Boolean
/**
* Number of hyperspace dimensions
*/
val dimension: Int
}

67
kmath-core/src/commonMain/kotlin/scientifik/kmath/domains/HyperSquareDomain.kt Normal file
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@ -0,0 +1,67 @@
/*
* Copyright 2015 Alexander Nozik.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package scientifik.kmath.domains
import scientifik.kmath.linear.Point
import scientifik.kmath.structures.RealBuffer
import scientifik.kmath.structures.indices
/**
*
* HyperSquareDomain class.
*
* @author Alexander Nozik
*/
class HyperSquareDomain(private val lower: RealBuffer, private val upper: RealBuffer) : RealDomain {
override operator fun contains(point: Point<Double>): Boolean = point.indices.all { i ->
point[i] in lower[i]..upper[i]
}
override val dimension: Int get() = lower.size
override fun getLowerBound(num: Int, point: Point<Double>): Double? = lower[num]
override fun getLowerBound(num: Int): Double? = lower[num]
override fun getUpperBound(num: Int, point: Point<Double>): Double? = upper[num]
override fun getUpperBound(num: Int): Double? = upper[num]
override fun nearestInDomain(point: Point<Double>): Point<Double> {
val res: DoubleArray = DoubleArray(point.size) { i ->
when {
point[i] < lower[i] -> lower[i]
point[i] > upper[i] -> upper[i]
else -> point[i]
}
}
return RealBuffer(*res)
}
override fun volume(): Double {
var res = 1.0
for (i in 0 until dimension) {
if (lower[i].isInfinite() || upper[i].isInfinite()) {
return Double.POSITIVE_INFINITY
}
if (upper[i] > lower[i]) {
res *= upper[i] - lower[i]
}
}
return res
}
}

65
kmath-core/src/commonMain/kotlin/scientifik/kmath/domains/RealDomain.kt Normal file
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@ -0,0 +1,65 @@
/*
* Copyright 2015 Alexander Nozik.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package scientifik.kmath.domains
import scientifik.kmath.linear.Point
/**
* n-dimensional volume
*
* @author Alexander Nozik
*/
interface RealDomain: Domain<Double> {
fun nearestInDomain(point: Point<Double>): Point<Double>
/**
* The lower edge for the domain going down from point
* @param num
* @param point
* @return
*/
fun getLowerBound(num: Int, point: Point<Double>): Double?
/**
* The upper edge of the domain going up from point
* @param num
* @param point
* @return
*/
fun getUpperBound(num: Int, point: Point<Double>): Double?
/**
* Global lower edge
* @param num
* @return
*/
fun getLowerBound(num: Int): Double?
/**
* Global upper edge
* @param num
* @return
*/
fun getUpperBound(num: Int): Double?
/**
* Hyper volume
* @return
*/
fun volume(): Double
}

36
kmath-core/src/commonMain/kotlin/scientifik/kmath/domains/UnconstrainedDomain.kt Normal file
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@ -0,0 +1,36 @@
/*
* Copyright 2015 Alexander Nozik.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package scientifik.kmath.domains
import scientifik.kmath.linear.Point
class UnconstrainedDomain(override val dimension: Int) : RealDomain {
override operator fun contains(point: Point<Double>): Boolean = true
override fun getLowerBound(num: Int, point: Point<Double>): Double? = Double.NEGATIVE_INFINITY
override fun getLowerBound(num: Int): Double? = Double.NEGATIVE_INFINITY
override fun getUpperBound(num: Int, point: Point<Double>): Double? = Double.POSITIVE_INFINITY
override fun getUpperBound(num: Int): Double? = Double.POSITIVE_INFINITY
override fun nearestInDomain(point: Point<Double>): Point<Double> = point
override fun volume(): Double = Double.POSITIVE_INFINITY
}

48
kmath-core/src/commonMain/kotlin/scientifik/kmath/domains/UnivariateDomain.kt Normal file
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@ -0,0 +1,48 @@
package scientifik.kmath.domains
import scientifik.kmath.linear.Point
import scientifik.kmath.structures.asBuffer
inline class UnivariateDomain(val range: ClosedFloatingPointRange<Double>) : RealDomain {
operator fun contains(d: Double): Boolean = range.contains(d)
override operator fun contains(point: Point<Double>): Boolean {
require(point.size == 0)
return contains(point[0])
}
override fun nearestInDomain(point: Point<Double>): Point<Double> {
require(point.size == 1)
val value = point[0]
return when{
value in range -> point
value >= range.endInclusive -> doubleArrayOf(range.endInclusive).asBuffer()
else -> doubleArrayOf(range.start).asBuffer()
}
}
override fun getLowerBound(num: Int, point: Point<Double>): Double? {
require(num == 0)
return range.start
}
override fun getUpperBound(num: Int, point: Point<Double>): Double? {
require(num == 0)
return range.endInclusive
}
override fun getLowerBound(num: Int): Double? {
require(num == 0)
return range.start
}
override fun getUpperBound(num: Int): Double? {
require(num == 0)
return range.endInclusive
}
override fun volume(): Double = range.endInclusive - range.start
override val dimension: Int get() = 1
}

8
kmath-core/src/commonMain/kotlin/scientifik/kmath/linear/BufferMatrix.kt
View File

@ -30,11 +30,11 @@ object RealMatrixContext : GenericMatrixContext<Double, RealField> {
override val elementContext get() = RealField
override inline fun produce(rows: Int, columns: Int, initializer: (i: Int, j: Int) -> Double): Matrix<Double> {
val buffer = DoubleBuffer(rows * columns) { offset -> initializer(offset / columns, offset % columns) }
val buffer = RealBuffer(rows * columns) { offset -> initializer(offset / columns, offset % columns) }
return BufferMatrix(rows, columns, buffer)
}
override inline fun point(size: Int, initializer: (Int) -> Double): Point<Double> = DoubleBuffer(size,initializer)
override inline fun point(size: Int, initializer: (Int) -> Double): Point<Double> = RealBuffer(size,initializer)
}
class BufferMatrix<T : Any>(
@ -102,7 +102,7 @@ infix fun BufferMatrix<Double>.dot(other: BufferMatrix<Double>): BufferMatrix<Do
val array = DoubleArray(this.rowNum * other.colNum)
//convert to array to insure there is not memory indirection
fun Buffer<out Double>.unsafeArray(): DoubleArray = if (this is DoubleBuffer) {
fun Buffer<out Double>.unsafeArray(): DoubleArray = if (this is RealBuffer) {
array
} else {
DoubleArray(size) { get(it) }
@ -119,6 +119,6 @@ infix fun BufferMatrix<Double>.dot(other: BufferMatrix<Double>): BufferMatrix<Do
}
}
val buffer = DoubleBuffer(array)
val buffer = RealBuffer(array)
return BufferMatrix(rowNum, other.colNum, buffer)
}

62
kmath-core/src/commonMain/kotlin/scientifik/kmath/structures/Buffers.kt
View File

@ -37,9 +37,9 @@ interface Buffer<T> {
companion object {
inline fun real(size: Int, initializer: (Int) -> Double): DoubleBuffer {
inline fun real(size: Int, initializer: (Int) -> Double): RealBuffer {
val array = DoubleArray(size) { initializer(it) }
return DoubleBuffer(array)
return RealBuffer(array)
}
/**
@ -51,7 +51,7 @@ interface Buffer<T> {
inline fun <T : Any> auto(type: KClass<T>, size: Int, crossinline initializer: (Int) -> T): Buffer<T> {
//TODO add resolution based on Annotation or companion resolution
return when (type) {
Double::class -> DoubleBuffer(DoubleArray(size) { initializer(it) as Double }) as Buffer<T>
Double::class -> RealBuffer(DoubleArray(size) { initializer(it) as Double }) as Buffer<T>
Short::class -> ShortBuffer(ShortArray(size) { initializer(it) as Short }) as Buffer<T>
Int::class -> IntBuffer(IntArray(size) { initializer(it) as Int }) as Buffer<T>
Long::class -> LongBuffer(LongArray(size) { initializer(it) as Long }) as Buffer<T>
@ -93,7 +93,7 @@ interface MutableBuffer<T> : Buffer<T> {
@Suppress("UNCHECKED_CAST")
inline fun <T : Any> auto(type: KClass<out T>, size: Int, initializer: (Int) -> T): MutableBuffer<T> {
return when (type) {
Double::class -> DoubleBuffer(DoubleArray(size) { initializer(it) as Double }) as MutableBuffer<T>
Double::class -> RealBuffer(DoubleArray(size) { initializer(it) as Double }) as MutableBuffer<T>
Short::class -> ShortBuffer(ShortArray(size) { initializer(it) as Short }) as MutableBuffer<T>
Int::class -> IntBuffer(IntArray(size) { initializer(it) as Int }) as MutableBuffer<T>
Long::class -> LongBuffer(LongArray(size) { initializer(it) as Long }) as MutableBuffer<T>
@ -109,12 +109,11 @@ interface MutableBuffer<T> : Buffer<T> {
auto(T::class, size, initializer)
val real: MutableBufferFactory<Double> = { size: Int, initializer: (Int) -> Double ->
DoubleBuffer(DoubleArray(size) { initializer(it) })
RealBuffer(DoubleArray(size) { initializer(it) })
}
}
}
inline class ListBuffer<T>(val list: List<T>) : Buffer<T> {
override val size: Int
@ -163,57 +162,6 @@ class ArrayBuffer<T>(private val array: Array<T>) : MutableBuffer<T> {
fun <T> Array<T>.asBuffer(): ArrayBuffer<T> = ArrayBuffer(this)
inline class ShortBuffer(val array: ShortArray) : MutableBuffer<Short> {
override val size: Int get() = array.size
override fun get(index: Int): Short = array[index]
override fun set(index: Int, value: Short) {
array[index] = value
}
override fun iterator() = array.iterator()
override fun copy(): MutableBuffer<Short> = ShortBuffer(array.copyOf())
}
fun ShortArray.asBuffer() = ShortBuffer(this)
inline class IntBuffer(val array: IntArray) : MutableBuffer<Int> {
override val size: Int get() = array.size
override fun get(index: Int): Int = array[index]
override fun set(index: Int, value: Int) {
array[index] = value
}
override fun iterator() = array.iterator()
override fun copy(): MutableBuffer<Int> = IntBuffer(array.copyOf())
}
fun IntArray.asBuffer() = IntBuffer(this)
inline class LongBuffer(val array: LongArray) : MutableBuffer<Long> {
override val size: Int get() = array.size
override fun get(index: Int): Long = array[index]
override fun set(index: Int, value: Long) {
array[index] = value
}
override fun iterator() = array.iterator()
override fun copy(): MutableBuffer<Long> = LongBuffer(array.copyOf())
}
fun LongArray.asBuffer() = LongBuffer(this)
inline class ReadOnlyBuffer<T>(val buffer: MutableBuffer<T>) : Buffer<T> {
override val size: Int get() = buffer.size

53
kmath-core/src/commonMain/kotlin/scientifik/kmath/structures/FlaggedBuffer.kt Normal file
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@ -0,0 +1,53 @@
package scientifik.kmath.structures
import kotlin.experimental.and
enum class ValueFlag(val mask: Byte) {
NAN(0b0000_0001),
MISSING(0b0000_0010),
NEGATIVE_INFINITY(0b0000_0100),
POSITIVE_INFINITY(0b0000_1000)
}
/**
* A buffer with flagged values
*/
interface FlaggedBuffer<T> : Buffer<T> {
fun getFlag(index: Int): Byte
}
/**
* The value is valid if all flags are down
*/
fun FlaggedBuffer<*>.isValid(index: Int) = getFlag(index) != 0.toByte()
fun FlaggedBuffer<*>.hasFlag(index: Int, flag: ValueFlag) = (getFlag(index) and flag.mask) != 0.toByte()
fun FlaggedBuffer<*>.isMissing(index: Int) = hasFlag(index, ValueFlag.MISSING)
/**
* A real buffer which supports flags for each value like NaN or Missing
*/
class FlaggedRealBuffer(val values: DoubleArray, val flags: ByteArray) : FlaggedBuffer<Double?>, Buffer<Double?> {
init {
require(values.size == flags.size) { "Values and flags must have the same dimensions" }
}
override fun getFlag(index: Int): Byte = flags[index]
override val size: Int get() = values.size
override fun get(index: Int): Double? = if (isValid(index)) values[index] else null
override fun iterator(): Iterator<Double?> = values.indices.asSequence().map {
if (isValid(it)) values[it] else null
}.iterator()
}
inline fun FlaggedRealBuffer.forEachValid(block: (Double) -> Unit) {
for(i in indices){
if(isValid(i)){
block(values[i])
}
}
}

20
kmath-core/src/commonMain/kotlin/scientifik/kmath/structures/IntBuffer.kt Normal file
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@ -0,0 +1,20 @@
package scientifik.kmath.structures
inline class IntBuffer(val array: IntArray) : MutableBuffer<Int> {
override val size: Int get() = array.size
override fun get(index: Int): Int = array[index]
override fun set(index: Int, value: Int) {
array[index] = value
}
override fun iterator() = array.iterator()
override fun copy(): MutableBuffer<Int> =
IntBuffer(array.copyOf())
}
fun IntArray.asBuffer() = IntBuffer(this)

19
kmath-core/src/commonMain/kotlin/scientifik/kmath/structures/LongBuffer.kt Normal file
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@ -0,0 +1,19 @@
package scientifik.kmath.structures
inline class LongBuffer(val array: LongArray) : MutableBuffer<Long> {
override val size: Int get() = array.size
override fun get(index: Int): Long = array[index]
override fun set(index: Int, value: Long) {
array[index] = value
}
override fun iterator() = array.iterator()
override fun copy(): MutableBuffer<Long> =
LongBuffer(array.copyOf())
}
fun LongArray.asBuffer() = LongBuffer(this)

12
kmath-core/src/commonMain/kotlin/scientifik/kmath/structures/DoubleBuffer.kt → kmath-core/src/commonMain/kotlin/scientifik/kmath/structures/RealBuffer.kt
View File

@ -1,6 +1,6 @@
package scientifik.kmath.structures
inline class DoubleBuffer(val array: DoubleArray) : MutableBuffer<Double> {
inline class RealBuffer(val array: DoubleArray) : MutableBuffer<Double> {
override val size: Int get() = array.size
override fun get(index: Int): Double = array[index]
@ -12,23 +12,23 @@ inline class DoubleBuffer(val array: DoubleArray) : MutableBuffer<Double> {
override fun iterator() = array.iterator()
override fun copy(): MutableBuffer<Double> =
DoubleBuffer(array.copyOf())
RealBuffer(array.copyOf())
}
@Suppress("FunctionName")
inline fun DoubleBuffer(size: Int, init: (Int) -> Double): DoubleBuffer = DoubleBuffer(DoubleArray(size) { init(it) })
inline fun RealBuffer(size: Int, init: (Int) -> Double): RealBuffer = RealBuffer(DoubleArray(size) { init(it) })
@Suppress("FunctionName")
fun DoubleBuffer(vararg doubles: Double): DoubleBuffer = DoubleBuffer(doubles)
fun RealBuffer(vararg doubles: Double): RealBuffer = RealBuffer(doubles)
/**
* Transform buffer of doubles into array for high performance operations
*/
val MutableBuffer<out Double>.array: DoubleArray
get() = if (this is DoubleBuffer) {
get() = if (this is RealBuffer) {
array
} else {
DoubleArray(size) { get(it) }
}
fun DoubleArray.asBuffer() = DoubleBuffer(this)
fun DoubleArray.asBuffer() = RealBuffer(this)

6
kmath-core/src/commonMain/kotlin/scientifik/kmath/structures/RealNDField.kt
View File

@ -16,7 +16,7 @@ class RealNDField(override val shape: IntArray) :
override val one by lazy { produce { one } }
inline fun buildBuffer(size: Int, crossinline initializer: (Int) -> Double): Buffer<Double> =
DoubleBuffer(DoubleArray(size) { initializer(it) })
RealBuffer(DoubleArray(size) { initializer(it) })
/**
* Inline transform an NDStructure to
@ -89,7 +89,7 @@ class RealNDField(override val shape: IntArray) :
*/
inline fun BufferedNDField<Double, RealField>.produceInline(crossinline initializer: RealField.(Int) -> Double): RealNDElement {
val array = DoubleArray(strides.linearSize) { offset -> RealField.initializer(offset) }
return BufferedNDFieldElement(this, DoubleBuffer(array))
return BufferedNDFieldElement(this, RealBuffer(array))
}
/**
@ -103,7 +103,7 @@ inline fun RealNDElement.mapIndexed(crossinline transform: RealField.(index: Int
*/
inline fun RealNDElement.map(crossinline transform: RealField.(Double) -> Double): RealNDElement {
val array = DoubleArray(strides.linearSize) { offset -> RealField.transform(buffer[offset]) }
return BufferedNDFieldElement(context, DoubleBuffer(array))
return BufferedNDFieldElement(context, RealBuffer(array))
}
/**

20
kmath-core/src/commonMain/kotlin/scientifik/kmath/structures/ShortBuffer.kt Normal file
View File

@ -0,0 +1,20 @@
package scientifik.kmath.structures
inline class ShortBuffer(val array: ShortArray) : MutableBuffer<Short> {
override val size: Int get() = array.size
override fun get(index: Int): Short = array[index]
override fun set(index: Int, value: Short) {
array[index] = value
}
override fun iterator() = array.iterator()
override fun copy(): MutableBuffer<Short> =
ShortBuffer(array.copyOf())
}
fun ShortArray.asBuffer() = ShortBuffer(this)

8
kmath-coroutines/src/commonMain/kotlin/scientifik/kmath/streaming/BufferFlow.kt
View File

@ -5,7 +5,7 @@ import kotlinx.coroutines.flow.*
import scientifik.kmath.chains.BlockingRealChain
import scientifik.kmath.structures.Buffer
import scientifik.kmath.structures.BufferFactory
import scientifik.kmath.structures.DoubleBuffer
import scientifik.kmath.structures.RealBuffer
import scientifik.kmath.structures.asBuffer
/**
@ -45,7 +45,7 @@ fun <T> Flow<T>.chunked(bufferSize: Int, bufferFactory: BufferFactory<T>): Flow<
/**
* Specialized flow chunker for real buffer
*/
fun Flow<Double>.chunked(bufferSize: Int): Flow<DoubleBuffer> = flow {
fun Flow<Double>.chunked(bufferSize: Int): Flow<RealBuffer> = flow {
require(bufferSize > 0) { "Resulting chunk size must be more than zero" }
if (this@chunked is BlockingRealChain) {
@ -61,13 +61,13 @@ fun Flow<Double>.chunked(bufferSize: Int): Flow<DoubleBuffer> = flow {
array[counter] = element
counter++
if (counter == bufferSize) {
val buffer = DoubleBuffer(array)
val buffer = RealBuffer(array)
emit(buffer)
counter = 0
}
}
if (counter > 0) {
emit(DoubleBuffer(counter) { array[it] })
emit(RealBuffer(counter) { array[it] })
}
}
}

29
kmath-for-real/src/commonMain/kotlin/scientifik/kmath/real/RealVector.kt
View File

@ -7,31 +7,28 @@ import scientifik.kmath.operations.Norm
import scientifik.kmath.operations.RealField
import scientifik.kmath.operations.SpaceElement
import scientifik.kmath.structures.Buffer
import scientifik.kmath.structures.DoubleBuffer
import scientifik.kmath.structures.RealBuffer
import scientifik.kmath.structures.asBuffer
import scientifik.kmath.structures.asIterable
import kotlin.math.sqrt
typealias RealPoint = Point<Double>
fun DoubleArray.asVector() = RealVector(this.asBuffer())
fun List<Double>.asVector() = RealVector(this.asBuffer())
object VectorL2Norm : Norm<Point<out Number>, Double> {
override fun norm(arg: Point<out Number>): Double = sqrt(arg.asIterable().sumByDouble { it.toDouble() })
}
inline class RealVector(private val point: Point<Double>) :
SpaceElement<Point<Double>, RealVector, VectorSpace<Double, RealField>>, Point<Double> {
SpaceElement<RealPoint, RealVector, VectorSpace<Double, RealField>>, RealPoint {
override val context: VectorSpace<Double, RealField>
get() = space(
point.size
)
override val context: VectorSpace<Double, RealField> get() = space(point.size)
override fun unwrap(): Point<Double> = point
override fun unwrap(): RealPoint = point
override fun Point<Double>.wrap(): RealVector =
RealVector(this)
override fun RealPoint.wrap(): RealVector = RealVector(this)
override val size: Int get() = point.size
@ -44,16 +41,12 @@ inline class RealVector(private val point: Point<Double>) :
private val spaceCache = HashMap<Int, BufferVectorSpace<Double, RealField>>()
inline operator fun invoke(dim: Int, initializer: (Int) -> Double) =
RealVector(DoubleBuffer(dim, initializer))
RealVector(RealBuffer(dim, initializer))
operator fun invoke(vararg values: Double): RealVector = values.asVector()
fun space(dim: Int): BufferVectorSpace<Double, RealField> =
spaceCache.getOrPut(dim) {
BufferVectorSpace(
dim,
RealField
) { size, init -> Buffer.real(size, init) }
}
fun space(dim: Int): BufferVectorSpace<Double, RealField> = spaceCache.getOrPut(dim) {
BufferVectorSpace(dim, RealField) { size, init -> Buffer.real(size, init) }
}
}
}

6
kmath-for-real/src/commonMain/kotlin/scientifik/kmath/real/realBuffer.kt
View File

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

14
kmath-for-real/src/commonMain/kotlin/scientifik/kmath/real/realMatrix.kt
View File

@ -5,8 +5,8 @@ import scientifik.kmath.linear.RealMatrixContext.elementContext
import scientifik.kmath.linear.VirtualMatrix
import scientifik.kmath.operations.sum
import scientifik.kmath.structures.Buffer
import scientifik.kmath.structures.DoubleBuffer
import scientifik.kmath.structures.Matrix
import scientifik.kmath.structures.RealBuffer
import scientifik.kmath.structures.asIterable
import kotlin.math.pow
@ -27,6 +27,10 @@ typealias RealMatrix = Matrix<Double>
fun realMatrix(rowNum: Int, colNum: Int, initializer: (i: Int, j: Int) -> Double): RealMatrix =
MatrixContext.real.produce(rowNum, colNum, initializer)
fun Array<DoubleArray>.toMatrix(): RealMatrix{
return MatrixContext.real.produce(size, this[0].size) { row, col -> this[row][col] }
}
fun Sequence<DoubleArray>.toMatrix(): RealMatrix = toList().let {
MatrixContext.real.produce(it.size, it[0].size) { row, col -> it[row][col] }
}
@ -129,22 +133,22 @@ fun Matrix<Double>.extractColumns(columnRange: IntRange): RealMatrix =
fun Matrix<Double>.extractColumn(columnIndex: Int): RealMatrix =
extractColumns(columnIndex..columnIndex)
fun Matrix<Double>.sumByColumn(): DoubleBuffer = DoubleBuffer(colNum) { j ->
fun Matrix<Double>.sumByColumn(): RealBuffer = RealBuffer(colNum) { j ->
val column = columns[j]
with(elementContext) {
sum(column.asIterable())
}
}
fun Matrix<Double>.minByColumn(): DoubleBuffer = DoubleBuffer(colNum) { j ->
fun Matrix<Double>.minByColumn(): RealBuffer = RealBuffer(colNum) { j ->
columns[j].asIterable().min() ?: throw Exception("Cannot produce min on empty column")
}
fun Matrix<Double>.maxByColumn(): DoubleBuffer = DoubleBuffer(colNum) { j ->
fun Matrix<Double>.maxByColumn(): RealBuffer = RealBuffer(colNum) { j ->
columns[j].asIterable().max() ?: throw Exception("Cannot produce min on empty column")
}
fun Matrix<Double>.averageByColumn(): DoubleBuffer = DoubleBuffer(colNum) { j ->
fun Matrix<Double>.averageByColumn(): RealBuffer = RealBuffer(colNum) { j ->
columns[j].asIterable().average()
}

16
kmath-histograms/src/commonMain/kotlin/scientifik/kmath/histogram/Histogram.kt
View File

@ -1,17 +1,9 @@
package scientifik.kmath.histogram
import scientifik.kmath.domains.Domain
import scientifik.kmath.linear.Point
import scientifik.kmath.structures.ArrayBuffer
import scientifik.kmath.structures.DoubleBuffer
/**
* A simple geometric domain
* TODO move to geometry module
*/
interface Domain<T : Any> {
operator fun contains(vector: Point<out T>): Boolean
val dimension: Int
}
import scientifik.kmath.structures.RealBuffer
/**
* The bin in the histogram. The histogram is by definition always done in the real space
@ -51,9 +43,9 @@ interface MutableHistogram<T : Any, out B : Bin<T>> : Histogram<T, B> {
fun <T : Any> MutableHistogram<T, *>.put(vararg point: T) = put(ArrayBuffer(point))
fun MutableHistogram<Double, *>.put(vararg point: Number) =
put(DoubleBuffer(point.map { it.toDouble() }.toDoubleArray()))
put(RealBuffer(point.map { it.toDouble() }.toDoubleArray()))
fun MutableHistogram<Double, *>.put(vararg point: Double) = put(DoubleBuffer(point))
fun MutableHistogram<Double, *>.put(vararg point: Double) = put(RealBuffer(point))
fun <T : Any> MutableHistogram<T, *>.fill(sequence: Iterable<Point<T>>) = sequence.forEach { put(it) }

6
kmath-histograms/src/commonMain/kotlin/scientifik/kmath/histogram/RealHistogram.kt
View File

@ -1,8 +1,8 @@
package scientifik.kmath.histogram
import scientifik.kmath.linear.Point
import scientifik.kmath.real.asVector
import scientifik.kmath.operations.SpaceOperations
import scientifik.kmath.real.asVector
import scientifik.kmath.structures.*
import kotlin.math.floor
@ -21,7 +21,7 @@ data class BinDef<T : Comparable<T>>(val space: SpaceOperations<Point<T>>, val c
class MultivariateBin<T : Comparable<T>>(val def: BinDef<T>, override val value: Number) : Bin<T> {
override fun contains(vector: Point<out T>): Boolean = def.contains(vector)
override fun contains(point: Point<T>): Boolean = def.contains(point)
override val dimension: Int
get() = def.center.size
@ -50,7 +50,7 @@ class RealHistogram(
override val dimension: Int get() = lower.size
private val binSize = DoubleBuffer(dimension) { (upper[it] - lower[it]) / binNums[it] }
private val binSize = RealBuffer(dimension) { (upper[it] - lower[it]) / binNums[it] }
init {
// argument checks

2
kmath-histograms/src/jvmMain/kotlin/scientifik/kmath/histogram/UnivariateHistogram.kt
View File

@ -16,7 +16,7 @@ class UnivariateBin(val position: Double, val size: Double, val counter: LongCou
operator fun contains(value: Double): Boolean = value in (position - size / 2)..(position + size / 2)
override fun contains(vector: Buffer<out Double>): Boolean = contains(vector[0])
override fun contains(point: Buffer<Double>): Boolean = contains(point[0])
internal operator fun inc() = this.also { counter.increment() }

1
kmath-memory/src/commonMain/kotlin/scientifik/memory/MemorySpec.kt
View File

@ -10,6 +10,7 @@ interface MemorySpec<T : Any> {
val objectSize: Int
fun MemoryReader.read(offset: Int): T
//TODO consider thread safety
fun MemoryWriter.write(offset: Int, value: T)
}

2
settings.gradle.kts
View File

@ -3,10 +3,12 @@ pluginManagement {
val toolsVersion = "0.5.0"
plugins {
id("kotlinx.benchmark") version "0.2.0-dev-8"
id("scientifik.mpp") version toolsVersion
id("scientifik.jvm") version toolsVersion
id("scientifik.atomic") version toolsVersion
id("scientifik.publish") version toolsVersion
kotlin("plugin.allopen") version "1.3.72"
}
repositories {