diff --git a/.github/workflows/pages.yml b/.github/workflows/pages.yml new file mode 100644 index 000000000..82b0fb303 --- /dev/null +++ b/.github/workflows/pages.yml @@ -0,0 +1,40 @@ +name: Dokka publication + +on: + push: + branches: + - master + +jobs: + build: + runs-on: ubuntu-20.04 + steps: + - name: Checkout the repo + uses: actions/checkout@v2 + - name: Set up JDK 11 + uses: actions/setup-java@v1 + with: + java-version: 11 + - name: Cache gradle + uses: actions/cache@v2 + with: + path: ~/.gradle/caches + key: ubuntu-20.04-gradle-${{ hashFiles('*.gradle.kts') }} + restore-keys: | + ubuntu-20.04-gradle- + - name: Cache konan + uses: actions/cache@v2 + with: + path: ~/.konan + key: ${{ runner.os }}-gradle-${{ hashFiles('*.gradle.kts') }} + restore-keys: | + ${{ runner.os }}-gradle- + - name: Build + run: | + ./gradlew dokkaHtmlMultiModule --no-daemon --no-parallel --stacktrace + mv build/dokka/htmlMultiModule/-modules.html build/dokka/htmlMultiModule/index.html + - name: Deploy to GitHub Pages + uses: JamesIves/github-pages-deploy-action@4.1.0 + with: + branch: gh-pages + folder: build/dokka/htmlMultiModule diff --git a/CHANGELOG.md b/CHANGELOG.md index 05c956de3..eb97698c6 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -9,6 +9,7 @@ - Exponential operations merged with hyperbolic functions - Space is replaced by Group. Space is reserved for vector spaces. - VectorSpace is now a vector space +- Buffer factories for primitives moved to MutableBuffer.Companion ### Deprecated diff --git a/README.md b/README.md index e9cf64ea0..436495c9c 100644 --- a/README.md +++ b/README.md @@ -3,9 +3,7 @@ ![Gradle build](https://github.com/mipt-npm/kmath/workflows/Gradle%20build/badge.svg) -Bintray: [ ![Download](https://api.bintray.com/packages/mipt-npm/kscience/kmath-core/images/download.svg) ](https://bintray.com/mipt-npm/kscience/kmath-core/_latestVersion) - -Bintray-dev: [ ![Download](https://api.bintray.com/packages/mipt-npm/dev/kmath-core/images/download.svg) ](https://bintray.com/mipt-npm/dev/kmath-core/_latestVersion) +[![Maven Central](https://img.shields.io/maven-central/v/space.kscience/kmath-core.svg?label=Maven%20Central)](https://search.maven.org/search?q=g:%22space.kscience%22%20AND%20a:%22kmath-core%22) # KMath @@ -256,8 +254,8 @@ repositories { } dependencies { - api("kscience.kmath:kmath-core:() -> kotlin.Any") - // api("kscience.kmath:kmath-core-jvm:() -> kotlin.Any") for jvm-specific version + api("space.kscience:kmath-core:0.3.0-dev-2") + // api("kscience.kmath:kmath-core-jvm:0.3.0-dev-2") for jvm-specific version } ``` diff --git a/build.gradle.kts b/build.gradle.kts index 113107f69..9810e378f 100644 --- a/build.gradle.kts +++ b/build.gradle.kts @@ -20,7 +20,7 @@ allprojects { } group = "space.kscience" - version = "0.3.0" + version = "0.3.0-dev-2" } subprojects { diff --git a/docs/templates/ARTIFACT-TEMPLATE.md b/docs/templates/ARTIFACT-TEMPLATE.md index 8ac71193f..cb741bc6f 100644 --- a/docs/templates/ARTIFACT-TEMPLATE.md +++ b/docs/templates/ARTIFACT-TEMPLATE.md @@ -13,9 +13,6 @@ > maven { url 'https://repo.kotlin.link' } > maven { url 'https://dl.bintray.com/hotkeytlt/maven' } > maven { url "https://dl.bintray.com/kotlin/kotlin-eap" } // include for builds based on kotlin-eap ->// Uncomment if repo.kotlin.link is unavailable ->// maven { url 'https://dl.bintray.com/mipt-npm/kscience' } ->// maven { url 'https://dl.bintray.com/mipt-npm/dev' } > } > > dependencies { @@ -29,9 +26,6 @@ > maven("https://repo.kotlin.link") > maven("https://dl.bintray.com/kotlin/kotlin-eap") // include for builds based on kotlin-eap > maven("https://dl.bintray.com/hotkeytlt/maven") // required for a ->// Uncomment if repo.kotlin.link is unavailable ->// maven("https://dl.bintray.com/mipt-npm/kscience") ->// maven("https://dl.bintray.com/mipt-npm/dev") > } > > dependencies { diff --git a/docs/templates/README-TEMPLATE.md b/docs/templates/README-TEMPLATE.md index 10bc7aab1..4366c8fcd 100644 --- a/docs/templates/README-TEMPLATE.md +++ b/docs/templates/README-TEMPLATE.md @@ -3,9 +3,7 @@ ![Gradle build](https://github.com/mipt-npm/kmath/workflows/Gradle%20build/badge.svg) -Bintray: [ ![Download](https://api.bintray.com/packages/mipt-npm/kscience/kmath-core/images/download.svg) ](https://bintray.com/mipt-npm/kscience/kmath-core/_latestVersion) - -Bintray-dev: [ ![Download](https://api.bintray.com/packages/mipt-npm/dev/kmath-core/images/download.svg) ](https://bintray.com/mipt-npm/dev/kmath-core/_latestVersion) +[![Maven Central](https://img.shields.io/maven-central/v/space.kscience/kmath-core.svg?label=Maven%20Central)](https://search.maven.org/search?q=g:%22space.kscience%22%20AND%20a:%22kmath-core%22) # KMath @@ -106,7 +104,7 @@ repositories { } dependencies { - api("kscience.kmath:kmath-core:$version") + api("${group}:kmath-core:$version") // api("kscience.kmath:kmath-core-jvm:$version") for jvm-specific version } ``` diff --git a/examples/build.gradle.kts b/examples/build.gradle.kts index 77152dc0a..0301e4d67 100644 --- a/examples/build.gradle.kts +++ b/examples/build.gradle.kts @@ -92,6 +92,14 @@ benchmark { iterationTimeUnit = "ms" // time unity for iterationTime, default is seconds include("ExpressionsInterpretersBenchmark") } + + configurations.register("matrixInverse") { + warmups = 1 // number of warmup iterations + iterations = 3 // number of iterations + iterationTime = 500 // time in seconds per iteration + iterationTimeUnit = "ms" // time unity for iterationTime, default is seconds + include("MatrixInverseBenchmark") + } } kotlin.sourceSets.all { diff --git a/examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/DotBenchmark.kt b/examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/DotBenchmark.kt index 93b5c5549..dbf373929 100644 --- a/examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/DotBenchmark.kt +++ b/examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/DotBenchmark.kt @@ -4,14 +4,11 @@ import kotlinx.benchmark.Benchmark import kotlinx.benchmark.Blackhole import kotlinx.benchmark.Scope import kotlinx.benchmark.State -import space.kscience.kmath.commons.linear.CMMatrixContext -import space.kscience.kmath.ejml.EjmlMatrixContext -import space.kscience.kmath.linear.BufferMatrixContext -import space.kscience.kmath.linear.Matrix -import space.kscience.kmath.linear.RealMatrixContext +import space.kscience.kmath.commons.linear.CMLinearSpace +import space.kscience.kmath.ejml.EjmlLinearSpace +import space.kscience.kmath.linear.LinearSpace +import space.kscience.kmath.linear.invoke import space.kscience.kmath.operations.RealField -import space.kscience.kmath.operations.invoke -import space.kscience.kmath.structures.Buffer import kotlin.random.Random @State(Scope.Benchmark) @@ -21,47 +18,47 @@ internal class DotBenchmark { const val dim = 1000 //creating invertible matrix - val matrix1 = Matrix.real(dim, dim) { i, j -> if (i <= j) random.nextDouble() else 0.0 } - val matrix2 = Matrix.real(dim, dim) { i, j -> if (i <= j) random.nextDouble() else 0.0 } + val matrix1 = LinearSpace.real.buildMatrix(dim, dim) { i, j -> if (i <= j) random.nextDouble() else 0.0 } + val matrix2 = LinearSpace.real.buildMatrix(dim, dim) { i, j -> if (i <= j) random.nextDouble() else 0.0 } - val cmMatrix1 = CMMatrixContext { matrix1.toCM() } - val cmMatrix2 = CMMatrixContext { matrix2.toCM() } + val cmMatrix1 = CMLinearSpace { matrix1.toCM() } + val cmMatrix2 = CMLinearSpace { matrix2.toCM() } - val ejmlMatrix1 = EjmlMatrixContext { matrix1.toEjml() } - val ejmlMatrix2 = EjmlMatrixContext { matrix2.toEjml() } + val ejmlMatrix1 = EjmlLinearSpace { matrix1.toEjml() } + val ejmlMatrix2 = EjmlLinearSpace { matrix2.toEjml() } } @Benchmark fun cmDot(blackhole: Blackhole) { - CMMatrixContext { + CMLinearSpace.run { blackhole.consume(cmMatrix1 dot cmMatrix2) } } @Benchmark fun ejmlDot(blackhole: Blackhole) { - EjmlMatrixContext { + EjmlLinearSpace { blackhole.consume(ejmlMatrix1 dot ejmlMatrix2) } } @Benchmark fun ejmlDotWithConversion(blackhole: Blackhole) { - EjmlMatrixContext { + EjmlLinearSpace { blackhole.consume(matrix1 dot matrix2) } } @Benchmark fun bufferedDot(blackhole: Blackhole) { - BufferMatrixContext(RealField, Buffer.Companion::real).invoke { + LinearSpace.auto(RealField).invoke { blackhole.consume(matrix1 dot matrix2) } } @Benchmark fun realDot(blackhole: Blackhole) { - RealMatrixContext { + LinearSpace.real { blackhole.consume(matrix1 dot matrix2) } } diff --git a/examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/ExpressionsInterpretersBenchmark.kt b/examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/ExpressionsInterpretersBenchmark.kt index 9c150f074..e5cfbf9f6 100644 --- a/examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/ExpressionsInterpretersBenchmark.kt +++ b/examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/ExpressionsInterpretersBenchmark.kt @@ -30,7 +30,7 @@ internal class ExpressionsInterpretersBenchmark { fun mstExpression(blackhole: Blackhole) { val expr = algebra.mstInField { val x = bindSymbol(x) - x * 2.0 + 2.0 / x - 16.0 + x * 2.0 + number(2.0) / x - 16.0 } invokeAndSum(expr, blackhole) @@ -40,7 +40,7 @@ internal class ExpressionsInterpretersBenchmark { fun asmExpression(blackhole: Blackhole) { val expr = algebra.mstInField { val x = bindSymbol(x) - x * 2.0 + 2.0 / x - 16.0 + x * 2.0 + number(2.0) / x - 16.0 }.compile() invokeAndSum(expr, blackhole) diff --git a/examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/LinearAlgebraBenchmark.kt b/examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/MatrixInverseBenchmark.kt similarity index 54% rename from examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/LinearAlgebraBenchmark.kt rename to examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/MatrixInverseBenchmark.kt index 30cb6c0b9..7aa8ac975 100644 --- a/examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/LinearAlgebraBenchmark.kt +++ b/examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/MatrixInverseBenchmark.kt @@ -4,44 +4,44 @@ import kotlinx.benchmark.Benchmark import kotlinx.benchmark.Blackhole import kotlinx.benchmark.Scope import kotlinx.benchmark.State -import space.kscience.kmath.commons.linear.CMMatrixContext -import space.kscience.kmath.commons.linear.CMMatrixContext.dot +import space.kscience.kmath.commons.linear.CMLinearSpace import space.kscience.kmath.commons.linear.inverse -import space.kscience.kmath.ejml.EjmlMatrixContext +import space.kscience.kmath.ejml.EjmlLinearSpace import space.kscience.kmath.ejml.inverse -import space.kscience.kmath.linear.Matrix -import space.kscience.kmath.linear.MatrixContext +import space.kscience.kmath.linear.LinearSpace import space.kscience.kmath.linear.inverseWithLup -import space.kscience.kmath.linear.real +import space.kscience.kmath.linear.invoke import kotlin.random.Random @State(Scope.Benchmark) -internal class LinearAlgebraBenchmark { +internal class MatrixInverseBenchmark { companion object { val random = Random(1224) const val dim = 100 + private val space = LinearSpace.real + //creating invertible matrix - val u = Matrix.real(dim, dim) { i, j -> if (i <= j) random.nextDouble() else 0.0 } - val l = Matrix.real(dim, dim) { i, j -> if (i >= j) random.nextDouble() else 0.0 } - val matrix = l dot u + val u = space.buildMatrix(dim, dim) { i, j -> if (i <= j) random.nextDouble() else 0.0 } + val l = space.buildMatrix(dim, dim) { i, j -> if (i >= j) random.nextDouble() else 0.0 } + val matrix = space { l dot u } } @Benchmark fun kmathLupInversion(blackhole: Blackhole) { - blackhole.consume(MatrixContext.real.inverseWithLup(matrix)) + blackhole.consume(LinearSpace.real.inverseWithLup(matrix)) } @Benchmark fun cmLUPInversion(blackhole: Blackhole) { - with(CMMatrixContext) { + with(CMLinearSpace) { blackhole.consume(inverse(matrix)) } } @Benchmark fun ejmlInverse(blackhole: Blackhole) { - with(EjmlMatrixContext) { + with(EjmlLinearSpace) { blackhole.consume(inverse(matrix)) } } diff --git a/examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/ViktorLogBenchmark.kt b/examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/ViktorLogBenchmark.kt index c48c86af9..0036b615c 100644 --- a/examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/ViktorLogBenchmark.kt +++ b/examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/ViktorLogBenchmark.kt @@ -15,7 +15,7 @@ import space.kscience.kmath.viktor.ViktorNDField internal class ViktorLogBenchmark { @Benchmark fun realFieldLog(blackhole: Blackhole) { - with(realField) { + with(realNdField) { val fortyTwo = produce { 42.0 } var res = one repeat(n) { res = ln(fortyTwo) } @@ -47,7 +47,7 @@ internal class ViktorLogBenchmark { // automatically build context most suited for given type. private val autoField = NDAlgebra.auto(RealField, dim, dim) - private val realField = NDAlgebra.real(dim, dim) + private val realNdField = NDAlgebra.real(dim, dim) private val viktorField = ViktorNDField(intArrayOf(dim, dim)) } } diff --git a/examples/src/main/kotlin/space/kscience/kmath/linear/gradient.kt b/examples/src/main/kotlin/space/kscience/kmath/linear/gradient.kt new file mode 100644 index 000000000..8dd3d7f6b --- /dev/null +++ b/examples/src/main/kotlin/space/kscience/kmath/linear/gradient.kt @@ -0,0 +1,28 @@ +package space.kscience.kmath.linear + +import space.kscience.kmath.real.* +import space.kscience.kmath.structures.RealBuffer + +fun main() { + val x0 = Point(0.0, 0.0, 0.0) + val sigma = Point(1.0, 1.0, 1.0) + + val gaussian: (Point) -> Double = { x -> + require(x.size == x0.size) + kotlin.math.exp(-((x - x0) / sigma).square().sum()) + } + + fun ((Point) -> Double).grad(x: Point): Point { + require(x.size == x0.size) + return RealBuffer(x.size) { i -> + val h = sigma[i] / 5 + val dVector = RealBuffer(x.size) { if (it == i) h else 0.0 } + val f1 = invoke(x + dVector / 2) + val f0 = invoke(x - dVector / 2) + (f1 - f0) / h + } + } + + println(gaussian.grad(x0)) + +} \ No newline at end of file diff --git a/examples/src/main/kotlin/space/kscience/kmath/structures/StructureWriteBenchmark.kt b/examples/src/main/kotlin/space/kscience/kmath/structures/StructureWriteBenchmark.kt index 13d6f00e4..66d85edff 100644 --- a/examples/src/main/kotlin/space/kscience/kmath/structures/StructureWriteBenchmark.kt +++ b/examples/src/main/kotlin/space/kscience/kmath/structures/StructureWriteBenchmark.kt @@ -7,7 +7,7 @@ import kotlin.system.measureTimeMillis @Suppress("UNUSED_VARIABLE") fun main() { val n = 6000 - val structure = NDStructure.build(intArrayOf(n, n), Buffer.Companion::auto) { 1.0 } + val structure = NDStructure.buffered(intArrayOf(n, n), Buffer.Companion::auto) { 1.0 } structure.mapToBuffer { it + 1 } // warm-up val time1 = measureTimeMillis { val res = structure.mapToBuffer { it + 1 } } println("Structure mapping finished in $time1 millis") diff --git a/examples/src/main/kotlin/space/kscience/kmath/structures/typeSafeDimensions.kt b/examples/src/main/kotlin/space/kscience/kmath/structures/typeSafeDimensions.kt index fdd631238..d2d130ab4 100644 --- a/examples/src/main/kotlin/space/kscience/kmath/structures/typeSafeDimensions.kt +++ b/examples/src/main/kotlin/space/kscience/kmath/structures/typeSafeDimensions.kt @@ -5,7 +5,7 @@ import space.kscience.kmath.dimensions.D3 import space.kscience.kmath.dimensions.DMatrixContext import space.kscience.kmath.dimensions.Dimension -private fun DMatrixContext.simple() { +private fun DMatrixContext.simple() { val m1 = produce { i, j -> (i + j).toDouble() } val m2 = produce { i, j -> (i + j).toDouble() } @@ -17,7 +17,7 @@ private object D5 : Dimension { override val dim: UInt = 5u } -private fun DMatrixContext.custom() { +private fun DMatrixContext.custom() { val m1 = produce { i, j -> (i + j).toDouble() } val m2 = produce { i, j -> (i - j).toDouble() } val m3 = produce { i, j -> (i - j).toDouble() } diff --git a/gradle.properties b/gradle.properties index aadc76c52..7ff50a435 100644 --- a/gradle.properties +++ b/gradle.properties @@ -1,10 +1,8 @@ kotlin.code.style=official +kotlin.mpp.enableGranularSourceSetsMetadata=true kotlin.mpp.stability.nowarn=true +kotlin.native.enableDependencyPropagation=false kotlin.parallel.tasks.in.project=true org.gradle.configureondemand=true -org.gradle.jvmargs=-XX:MaxMetaspaceSize=512m +org.gradle.jvmargs=-XX:MaxMetaspaceSize=2G org.gradle.parallel=true - -kotlin.mpp.enableGranularSourceSetsMetadata=true -kotlin.native.enableDependencyPropagation=false - diff --git a/kmath-ast/README.md b/kmath-ast/README.md index e52f0fa96..a88b6f696 100644 --- a/kmath-ast/README.md +++ b/kmath-ast/README.md @@ -12,7 +12,7 @@ This subproject implements the following features: > #### Artifact: > -> This module artifact: `space.kscience:kmath-ast:0.2.0`. +> This module artifact: `space.kscience:kmath-ast:0.3.0-dev-2`. > > Bintray release version: [ ![Download](https://api.bintray.com/packages/mipt-npm/kscience/kmath-ast/images/download.svg) ](https://bintray.com/mipt-npm/kscience/kmath-ast/_latestVersion) > @@ -31,7 +31,7 @@ This subproject implements the following features: > } > > dependencies { -> implementation 'space.kscience:kmath-ast:0.2.0' +> implementation 'space.kscience:kmath-ast:0.3.0-dev-2' > } > ``` > **Gradle Kotlin DSL:** @@ -47,7 +47,7 @@ This subproject implements the following features: > } > > dependencies { -> implementation("space.kscience:kmath-ast:0.2.0") +> implementation("space.kscience:kmath-ast:0.3.0-dev-2") > } > ``` diff --git a/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/MstAlgebra.kt b/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/MstAlgebra.kt index 16fdfbeac..5ed39687b 100644 --- a/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/MstAlgebra.kt +++ b/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/MstAlgebra.kt @@ -54,7 +54,7 @@ public object MstRing : Ring, NumbersAddOperations, ScaleOperations, NumbersAddOperations, ScaleOperations< public override val one: MST.Numeric get() = MstRing.one - public override fun bindSymbol(value: String): MST.Symbolic = MstRing.bindSymbol(value) + public override fun bindSymbol(value: String): MST.Symbolic = MstAlgebra.bindSymbol(value) public override fun number(value: Number): MST.Numeric = MstRing.number(value) public override fun add(a: MST, b: MST): MST.Binary = MstRing.add(a, b) @@ -112,7 +112,7 @@ public object MstExtendedField : ExtendedField, NumericAlgebra { public override val zero: MST.Numeric get() = MstField.zero public override val one: MST.Numeric get() = MstField.one - public override fun bindSymbol(value: String): MST.Symbolic = MstField.bindSymbol(value) + public override fun bindSymbol(value: String): MST.Symbolic = MstAlgebra.bindSymbol(value) public override fun number(value: Number): MST.Numeric = MstRing.number(value) public override fun sin(arg: MST): MST.Unary = unaryOperationFunction(TrigonometricOperations.SIN_OPERATION)(arg) public override fun cos(arg: MST): MST.Unary = unaryOperationFunction(TrigonometricOperations.COS_OPERATION)(arg) diff --git a/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/linear/CMMatrix.kt b/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/linear/CMMatrix.kt index 393b28973..4671598f7 100644 --- a/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/linear/CMMatrix.kt +++ b/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/linear/CMMatrix.kt @@ -3,59 +3,28 @@ package space.kscience.kmath.commons.linear import org.apache.commons.math3.linear.* import space.kscience.kmath.linear.* import space.kscience.kmath.misc.UnstableKMathAPI +import space.kscience.kmath.nd.NDStructure +import space.kscience.kmath.operations.RealField import space.kscience.kmath.structures.RealBuffer import kotlin.reflect.KClass import kotlin.reflect.cast -public inline class CMMatrix(public val origin: RealMatrix) : Matrix { +public class CMMatrix(public val origin: RealMatrix) : Matrix { public override val rowNum: Int get() = origin.rowDimension public override val colNum: Int get() = origin.columnDimension - @UnstableKMathAPI - override fun getFeature(type: KClass): T? = when (type) { - DiagonalFeature::class -> if (origin is DiagonalMatrix) DiagonalFeature else null - - DeterminantFeature::class, LupDecompositionFeature::class -> object : - DeterminantFeature, - LupDecompositionFeature { - private val lup by lazy { LUDecomposition(origin) } - override val determinant: Double by lazy { lup.determinant } - override val l: Matrix by lazy { CMMatrix(lup.l) + LFeature } - override val u: Matrix by lazy { CMMatrix(lup.u) + UFeature } - override val p: Matrix by lazy { CMMatrix(lup.p) } - } - - CholeskyDecompositionFeature::class -> object : CholeskyDecompositionFeature { - override val l: Matrix by lazy { - val cholesky = CholeskyDecomposition(origin) - CMMatrix(cholesky.l) + LFeature - } - } - - QRDecompositionFeature::class -> object : QRDecompositionFeature { - private val qr by lazy { QRDecomposition(origin) } - override val q: Matrix by lazy { CMMatrix(qr.q) + OrthogonalFeature } - override val r: Matrix by lazy { CMMatrix(qr.r) + UFeature } - } - - SingularValueDecompositionFeature::class -> object : SingularValueDecompositionFeature { - private val sv by lazy { SingularValueDecomposition(origin) } - override val u: Matrix by lazy { CMMatrix(sv.u) } - override val s: Matrix by lazy { CMMatrix(sv.s) } - override val v: Matrix by lazy { CMMatrix(sv.v) } - override val singularValues: Point by lazy { RealBuffer(sv.singularValues) } - } - - else -> null - }?.let(type::cast) - public override operator fun get(i: Int, j: Int): Double = origin.getEntry(i, j) + + override fun equals(other: Any?): Boolean { + if (this === other) return true + if (other !is NDStructure<*>) return false + return NDStructure.contentEquals(this, other) + } + + override fun hashCode(): Int = origin.hashCode() } - -public fun RealMatrix.asMatrix(): CMMatrix = CMMatrix(this) - -public class CMVector(public val origin: RealVector) : Point { +public inline class CMVector(public val origin: RealVector) : Point { public override val size: Int get() = origin.dimension public override operator fun get(index: Int): Double = origin.getEntry(index) @@ -63,16 +32,17 @@ public class CMVector(public val origin: RealVector) : Point { public override operator fun iterator(): Iterator = origin.toArray().iterator() } -public fun Point.toCM(): CMVector = if (this is CMVector) this else { - val array = DoubleArray(size) { this[it] } - CMVector(ArrayRealVector(array)) -} - public fun RealVector.toPoint(): CMVector = CMVector(this) -public object CMMatrixContext : MatrixContext { - public override fun produce(rows: Int, columns: Int, initializer: (i: Int, j: Int) -> Double): CMMatrix { - val array = Array(rows) { i -> DoubleArray(columns) { j -> initializer(i, j) } } +public object CMLinearSpace : LinearSpace { + override val elementAlgebra: RealField get() = RealField + + public override fun buildMatrix( + rows: Int, + columns: Int, + initializer: RealField.(i: Int, j: Int) -> Double, + ): CMMatrix { + val array = Array(rows) { i -> DoubleArray(columns) { j -> RealField.initializer(i, j) } } return CMMatrix(Array2DRowRealMatrix(array)) } @@ -82,40 +52,98 @@ public object CMMatrixContext : MatrixContext { else -> { //TODO add feature analysis val array = Array(rowNum) { i -> DoubleArray(colNum) { j -> get(i, j) } } - CMMatrix(Array2DRowRealMatrix(array)) + Array2DRowRealMatrix(array).wrap() } } - override fun scale(a: Matrix, value: Double): Matrix = a.toCM().times(value) + public fun Point.toCM(): CMVector = if (this is CMVector) this else { + val array = DoubleArray(size) { this[it] } + ArrayRealVector(array).wrap() + } + internal fun RealMatrix.wrap(): CMMatrix = CMMatrix(this) + internal fun RealVector.wrap(): CMVector = CMVector(this) + + override fun buildVector(size: Int, initializer: RealField.(Int) -> Double): Point = + ArrayRealVector(DoubleArray(size) { RealField.initializer(it) }).wrap() + + override fun Matrix.plus(other: Matrix): CMMatrix = + toCM().origin.add(other.toCM().origin).wrap() + + override fun Point.plus(other: Point): CMVector = + toCM().origin.add(other.toCM().origin).wrap() + + override fun Point.minus(other: Point): CMVector = + toCM().origin.subtract(other.toCM().origin).wrap() public override fun Matrix.dot(other: Matrix): CMMatrix = - CMMatrix(toCM().origin.multiply(other.toCM().origin)) + toCM().origin.multiply(other.toCM().origin).wrap() public override fun Matrix.dot(vector: Point): CMVector = - CMVector(toCM().origin.preMultiply(vector.toCM().origin)) + toCM().origin.preMultiply(vector.toCM().origin).wrap() - public override operator fun Matrix.unaryMinus(): CMMatrix = - produce(rowNum, colNum) { i, j -> -get(i, j) } - - public override fun add(a: Matrix, b: Matrix): CMMatrix = - CMMatrix(a.toCM().origin.multiply(b.toCM().origin)) - - public override operator fun Matrix.minus(b: Matrix): CMMatrix = - CMMatrix(toCM().origin.subtract(b.toCM().origin)) - -// public override fun multiply(a: Matrix, k: Number): CMMatrix = -// CMMatrix(a.toCM().origin.scalarMultiply(k.toDouble())) + public override operator fun Matrix.minus(other: Matrix): CMMatrix = + toCM().origin.subtract(other.toCM().origin).wrap() public override operator fun Matrix.times(value: Double): CMMatrix = - produce(rowNum, colNum) { i, j -> get(i, j) * value } + toCM().origin.scalarMultiply(value).wrap() + + override fun Double.times(m: Matrix): CMMatrix = + m * this + + override fun Point.times(value: Double): CMVector = + toCM().origin.mapMultiply(value).wrap() + + override fun Double.times(v: Point): CMVector = + v * this + + @UnstableKMathAPI + override fun getFeature(structure: Matrix, type: KClass): F? { + //Return the feature if it is intrinsic to the structure + structure.getFeature(type)?.let { return it } + + val origin = structure.toCM().origin + + return when (type) { + DiagonalFeature::class -> if (origin is DiagonalMatrix) DiagonalFeature else null + + DeterminantFeature::class, LupDecompositionFeature::class -> object : + DeterminantFeature, + LupDecompositionFeature { + private val lup by lazy { LUDecomposition(origin) } + override val determinant: Double by lazy { lup.determinant } + override val l: Matrix by lazy { CMMatrix(lup.l) + LFeature } + override val u: Matrix by lazy { CMMatrix(lup.u) + UFeature } + override val p: Matrix by lazy { CMMatrix(lup.p) } + } + + CholeskyDecompositionFeature::class -> object : CholeskyDecompositionFeature { + override val l: Matrix by lazy { + val cholesky = CholeskyDecomposition(origin) + CMMatrix(cholesky.l) + LFeature + } + } + + QRDecompositionFeature::class -> object : QRDecompositionFeature { + private val qr by lazy { QRDecomposition(origin) } + override val q: Matrix by lazy { CMMatrix(qr.q) + OrthogonalFeature } + override val r: Matrix by lazy { CMMatrix(qr.r) + UFeature } + } + + SingularValueDecompositionFeature::class -> object : SingularValueDecompositionFeature { + private val sv by lazy { SingularValueDecomposition(origin) } + override val u: Matrix by lazy { CMMatrix(sv.u) } + override val s: Matrix by lazy { CMMatrix(sv.s) } + override val v: Matrix by lazy { CMMatrix(sv.v) } + override val singularValues: Point by lazy { RealBuffer(sv.singularValues) } + } + else -> null + }?.let(type::cast) + } } -public operator fun CMMatrix.plus(other: CMMatrix): CMMatrix = - CMMatrix(origin.add(other.origin)) +public operator fun CMMatrix.plus(other: CMMatrix): CMMatrix = CMMatrix(origin.add(other.origin)) -public operator fun CMMatrix.minus(other: CMMatrix): CMMatrix = - CMMatrix(origin.subtract(other.origin)) +public operator fun CMMatrix.minus(other: CMMatrix): CMMatrix = CMMatrix(origin.subtract(other.origin)) -public infix fun CMMatrix.dot(other: CMMatrix): CMMatrix = - CMMatrix(origin.multiply(other.origin)) +public infix fun CMMatrix.dot(other: CMMatrix): CMMatrix = CMMatrix(origin.multiply(other.origin)) diff --git a/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/linear/CMSolver.kt b/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/linear/CMSolver.kt index 3ce7ca9e6..b5fd0154e 100644 --- a/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/linear/CMSolver.kt +++ b/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/linear/CMSolver.kt @@ -12,7 +12,7 @@ public enum class CMDecomposition { CHOLESKY } -public fun CMMatrixContext.solver( +public fun CMLinearSpace.solver( a: Matrix, decomposition: CMDecomposition = CMDecomposition.LUP ): DecompositionSolver = when (decomposition) { @@ -23,19 +23,19 @@ public fun CMMatrixContext.solver( CMDecomposition.CHOLESKY -> CholeskyDecomposition(a.toCM().origin).solver } -public fun CMMatrixContext.solve( +public fun CMLinearSpace.solve( a: Matrix, b: Matrix, decomposition: CMDecomposition = CMDecomposition.LUP -): CMMatrix = solver(a, decomposition).solve(b.toCM().origin).asMatrix() +): CMMatrix = solver(a, decomposition).solve(b.toCM().origin).wrap() -public fun CMMatrixContext.solve( +public fun CMLinearSpace.solve( a: Matrix, b: Point, decomposition: CMDecomposition = CMDecomposition.LUP ): CMVector = solver(a, decomposition).solve(b.toCM().origin).toPoint() -public fun CMMatrixContext.inverse( +public fun CMLinearSpace.inverse( a: Matrix, decomposition: CMDecomposition = CMDecomposition.LUP -): CMMatrix = solver(a, decomposition).inverse.asMatrix() +): CMMatrix = solver(a, decomposition).inverse.wrap() diff --git a/kmath-complex/README.md b/kmath-complex/README.md index 71a75bd3e..7a7628a2c 100644 --- a/kmath-complex/README.md +++ b/kmath-complex/README.md @@ -8,7 +8,7 @@ Complex and hypercomplex number systems in KMath: > #### Artifact: > -> This module artifact: `space.kscience:kmath-complex:0.2.0`. +> This module artifact: `space.kscience:kmath-complex:0.3.0-dev-2`. > > Bintray release version: [ ![Download](https://api.bintray.com/packages/mipt-npm/kscience/kmath-complex/images/download.svg) ](https://bintray.com/mipt-npm/kscience/kmath-complex/_latestVersion) > @@ -27,7 +27,7 @@ Complex and hypercomplex number systems in KMath: > } > > dependencies { -> implementation 'space.kscience:kmath-complex:0.2.0' +> implementation 'space.kscience:kmath-complex:0.3.0-dev-2' > } > ``` > **Gradle Kotlin DSL:** @@ -43,6 +43,6 @@ Complex and hypercomplex number systems in KMath: > } > > dependencies { -> implementation("space.kscience:kmath-complex:0.2.0") +> implementation("space.kscience:kmath-complex:0.3.0-dev-2") > } > ``` diff --git a/kmath-core/README.md b/kmath-core/README.md new file mode 100644 index 000000000..14f1ecb41 --- /dev/null +++ b/kmath-core/README.md @@ -0,0 +1,55 @@ +# The Core Module (`kmath-core`) + +The core features of KMath: + + - [algebras](src/commonMain/kotlin/kscience/kmath/operations/Algebra.kt) : Algebraic structures like rings, spaces and fields. + - [nd](src/commonMain/kotlin/kscience/kmath/structures/NDStructure.kt) : Many-dimensional structures and operations on them. + - [linear](src/commonMain/kotlin/kscience/kmath/operations/Algebra.kt) : Basic linear algebra operations (sums, products, etc.), backed by the `Space` API. Advanced linear algebra operations like matrix inversion and LU decomposition. + - [buffers](src/commonMain/kotlin/kscience/kmath/structures/Buffers.kt) : One-dimensional structure + - [expressions](src/commonMain/kotlin/kscience/kmath/expressions) : By writing a single mathematical expression once, users will be able to apply different types of +objects to the expression by providing a context. Expressions can be used for a wide variety of purposes from high +performance calculations to code generation. + - [domains](src/commonMain/kotlin/kscience/kmath/domains) : Domains + - [autodif](src/commonMain/kotlin/kscience/kmath/expressions/SimpleAutoDiff.kt) : Automatic differentiation + + +> #### Artifact: +> +> This module artifact: `space.kscience:kmath-core:0.3.0-dev-2`. +> +> Bintray release version: [ ![Download](https://api.bintray.com/packages/mipt-npm/kscience/kmath-core/images/download.svg) ](https://bintray.com/mipt-npm/kscience/kmath-core/_latestVersion) +> +> Bintray development version: [ ![Download](https://api.bintray.com/packages/mipt-npm/dev/kmath-core/images/download.svg) ](https://bintray.com/mipt-npm/dev/kmath-core/_latestVersion) +> +> **Gradle:** +> +> ```gradle +> repositories { +> maven { url 'https://repo.kotlin.link' } +> maven { url 'https://dl.bintray.com/hotkeytlt/maven' } +> maven { url "https://dl.bintray.com/kotlin/kotlin-eap" } // include for builds based on kotlin-eap +>// Uncomment if repo.kotlin.link is unavailable +>// maven { url 'https://dl.bintray.com/mipt-npm/kscience' } +>// maven { url 'https://dl.bintray.com/mipt-npm/dev' } +> } +> +> dependencies { +> implementation 'space.kscience:kmath-core:0.3.0-dev-2' +> } +> ``` +> **Gradle Kotlin DSL:** +> +> ```kotlin +> repositories { +> maven("https://repo.kotlin.link") +> maven("https://dl.bintray.com/kotlin/kotlin-eap") // include for builds based on kotlin-eap +> maven("https://dl.bintray.com/hotkeytlt/maven") // required for a +>// Uncomment if repo.kotlin.link is unavailable +>// maven("https://dl.bintray.com/mipt-npm/kscience") +>// maven("https://dl.bintray.com/mipt-npm/dev") +> } +> +> dependencies { +> implementation("space.kscience:kmath-core:0.3.0-dev-2") +> } +> ``` diff --git a/kmath-core/api/kmath-core.api b/kmath-core/api/kmath-core.api index 8b30e4c05..c5e13fe20 100644 --- a/kmath-core/api/kmath-core.api +++ b/kmath-core/api/kmath-core.api @@ -432,106 +432,23 @@ public final class space/kscience/kmath/expressions/SymbolIndexerKt { public static final fun withSymbols ([Lspace/kscience/kmath/expressions/Symbol;Lkotlin/jvm/functions/Function1;)Ljava/lang/Object; } -public final class space/kscience/kmath/linear/BufferMatrix : space/kscience/kmath/nd/Structure2D { - public fun (IILspace/kscience/kmath/structures/Buffer;)V - public fun elements ()Lkotlin/sequences/Sequence; - public fun equals (Ljava/lang/Object;)Z - public fun get (II)Ljava/lang/Object; - public fun get ([I)Ljava/lang/Object; - public final fun getBuffer ()Lspace/kscience/kmath/structures/Buffer; - public fun getColNum ()I - public fun getColumns ()Lspace/kscience/kmath/structures/Buffer; - public fun getDimension ()I - public fun getRowNum ()I - public fun getRows ()Lspace/kscience/kmath/structures/Buffer; - public fun getShape ()[I - public fun hashCode ()I - public fun toString ()Ljava/lang/String; -} - -public final class space/kscience/kmath/linear/BufferMatrixContext : space/kscience/kmath/linear/GenericMatrixContext { - public static final field Companion Lspace/kscience/kmath/linear/BufferMatrixContext$Companion; +public final class space/kscience/kmath/linear/BufferedLinearSpace : space/kscience/kmath/linear/LinearSpace { public fun (Lspace/kscience/kmath/operations/Ring;Lkotlin/jvm/functions/Function2;)V - public synthetic fun add (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun add (Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/linear/BufferMatrix; - public synthetic fun add (Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public synthetic fun binaryOperation (Ljava/lang/String;Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun binaryOperation (Ljava/lang/String;Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public fun binaryOperationFunction (Ljava/lang/String;)Lkotlin/jvm/functions/Function2; - public synthetic fun bindSymbol (Ljava/lang/String;)Ljava/lang/Object; - public fun bindSymbol (Ljava/lang/String;)Lspace/kscience/kmath/nd/Structure2D; - public synthetic fun div (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; - public fun div (Lspace/kscience/kmath/nd/Structure2D;Ljava/lang/Number;)Lspace/kscience/kmath/nd/Structure2D; - public fun dot (Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/linear/BufferMatrix; - public synthetic fun dot (Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; + public fun buildMatrix (IILkotlin/jvm/functions/Function3;)Lspace/kscience/kmath/nd/Structure2D; + public fun buildVector (ILkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/structures/Buffer; + public fun dot (Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; public fun dot (Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; - public fun getElementContext ()Lspace/kscience/kmath/operations/Ring; - public synthetic fun minus (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun minus (Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/linear/BufferMatrix; - public synthetic fun minus (Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public final fun one (II)Lspace/kscience/kmath/nd/Structure2D; - public synthetic fun plus (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun plus (Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public fun point (ILkotlin/jvm/functions/Function1;)Lspace/kscience/kmath/structures/Buffer; - public fun produce (IILkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/linear/BufferMatrix; - public synthetic fun produce (IILkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/Structure2D; - public synthetic fun scale (Ljava/lang/Object;D)Ljava/lang/Object; - public fun scale (Lspace/kscience/kmath/nd/Structure2D;D)Lspace/kscience/kmath/nd/Structure2D; - public synthetic fun times (Ljava/lang/Number;Ljava/lang/Object;)Ljava/lang/Object; - public fun times (Ljava/lang/Number;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public synthetic fun times (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; - public fun times (Ljava/lang/Object;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/linear/BufferMatrix; - public synthetic fun times (Ljava/lang/Object;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public fun times (Lspace/kscience/kmath/nd/Structure2D;Ljava/lang/Number;)Lspace/kscience/kmath/nd/Structure2D; - public fun times (Lspace/kscience/kmath/nd/Structure2D;Ljava/lang/Object;)Lspace/kscience/kmath/linear/BufferMatrix; - public synthetic fun times (Lspace/kscience/kmath/nd/Structure2D;Ljava/lang/Object;)Lspace/kscience/kmath/nd/Structure2D; - public synthetic fun unaryMinus (Ljava/lang/Object;)Ljava/lang/Object; - public fun unaryMinus (Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/linear/BufferMatrix; - public synthetic fun unaryMinus (Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public synthetic fun unaryOperation (Ljava/lang/String;Ljava/lang/Object;)Ljava/lang/Object; - public fun unaryOperation (Ljava/lang/String;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public fun unaryOperationFunction (Ljava/lang/String;)Lkotlin/jvm/functions/Function1; - public synthetic fun unaryPlus (Ljava/lang/Object;)Ljava/lang/Object; - public fun unaryPlus (Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; -} - -public final class space/kscience/kmath/linear/BufferMatrixContext$Companion { -} - -public final class space/kscience/kmath/linear/BufferVectorSpace : space/kscience/kmath/linear/VectorSpace { - public fun (ILspace/kscience/kmath/operations/Group;Lkotlin/jvm/functions/Function2;)V - public synthetic fun add (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun add (Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; - public synthetic fun binaryOperation (Ljava/lang/String;Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun binaryOperation (Ljava/lang/String;Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; - public fun binaryOperationFunction (Ljava/lang/String;)Lkotlin/jvm/functions/Function2; - public synthetic fun bindSymbol (Ljava/lang/String;)Ljava/lang/Object; - public fun bindSymbol (Ljava/lang/String;)Lspace/kscience/kmath/structures/Buffer; - public synthetic fun div (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; - public fun div (Lspace/kscience/kmath/structures/Buffer;Ljava/lang/Number;)Lspace/kscience/kmath/structures/Buffer; - public fun getAlgebra ()Lspace/kscience/kmath/operations/Group; - public final fun getBufferFactory ()Lkotlin/jvm/functions/Function2; - public fun getSize ()I - public synthetic fun getZero ()Ljava/lang/Object; - public fun getZero ()Lspace/kscience/kmath/structures/Buffer; - public synthetic fun minus (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; + public fun getElementAlgebra ()Lspace/kscience/kmath/operations/Ring; + public fun minus (Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; public fun minus (Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; - public synthetic fun plus (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; + public fun plus (Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; public fun plus (Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; - public fun produce (Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/structures/Buffer; - public synthetic fun scale (Ljava/lang/Object;D)Ljava/lang/Object; - public fun scale (Lspace/kscience/kmath/structures/Buffer;D)Lspace/kscience/kmath/structures/Buffer; - public synthetic fun times (Ljava/lang/Number;Ljava/lang/Object;)Ljava/lang/Object; - public fun times (Ljava/lang/Number;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; - public synthetic fun times (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; - public fun times (Lspace/kscience/kmath/structures/Buffer;Ljava/lang/Number;)Lspace/kscience/kmath/structures/Buffer; - public synthetic fun unaryMinus (Ljava/lang/Object;)Ljava/lang/Object; + public fun times (Ljava/lang/Object;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; + public fun times (Ljava/lang/Object;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; + public fun times (Lspace/kscience/kmath/nd/Structure2D;Ljava/lang/Object;)Lspace/kscience/kmath/nd/Structure2D; + public fun times (Lspace/kscience/kmath/structures/Buffer;Ljava/lang/Object;)Lspace/kscience/kmath/structures/Buffer; + public fun unaryMinus (Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; public fun unaryMinus (Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; - public synthetic fun unaryOperation (Ljava/lang/String;Ljava/lang/Object;)Ljava/lang/Object; - public fun unaryOperation (Ljava/lang/String;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; - public fun unaryOperationFunction (Ljava/lang/String;)Lkotlin/jvm/functions/Function1; - public synthetic fun unaryPlus (Ljava/lang/Object;)Ljava/lang/Object; - public fun unaryPlus (Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; } public abstract interface class space/kscience/kmath/linear/CholeskyDecompositionFeature : space/kscience/kmath/linear/MatrixFeature { @@ -549,37 +466,6 @@ public abstract interface class space/kscience/kmath/linear/DiagonalFeature : sp public final class space/kscience/kmath/linear/DiagonalFeature$Companion : space/kscience/kmath/linear/DiagonalFeature { } -public abstract interface class space/kscience/kmath/linear/GenericMatrixContext : space/kscience/kmath/linear/MatrixContext { - public abstract fun add (Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public abstract fun dot (Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public abstract fun dot (Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; - public abstract fun getElementContext ()Lspace/kscience/kmath/operations/Ring; - public abstract fun minus (Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public abstract fun times (Lspace/kscience/kmath/nd/Structure2D;Ljava/lang/Object;)Lspace/kscience/kmath/nd/Structure2D; - public abstract fun unaryMinus (Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; -} - -public final class space/kscience/kmath/linear/GenericMatrixContext$DefaultImpls { - public static fun add (Lspace/kscience/kmath/linear/GenericMatrixContext;Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public static fun binaryOperation (Lspace/kscience/kmath/linear/GenericMatrixContext;Ljava/lang/String;Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public static fun binaryOperationFunction (Lspace/kscience/kmath/linear/GenericMatrixContext;Ljava/lang/String;)Lkotlin/jvm/functions/Function2; - public static fun bindSymbol (Lspace/kscience/kmath/linear/GenericMatrixContext;Ljava/lang/String;)Lspace/kscience/kmath/nd/Structure2D; - public static fun div (Lspace/kscience/kmath/linear/GenericMatrixContext;Lspace/kscience/kmath/nd/Structure2D;Ljava/lang/Number;)Lspace/kscience/kmath/nd/Structure2D; - public static fun dot (Lspace/kscience/kmath/linear/GenericMatrixContext;Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public static fun dot (Lspace/kscience/kmath/linear/GenericMatrixContext;Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; - public static fun minus (Lspace/kscience/kmath/linear/GenericMatrixContext;Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public static fun plus (Lspace/kscience/kmath/linear/GenericMatrixContext;Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public static fun point (Lspace/kscience/kmath/linear/GenericMatrixContext;ILkotlin/jvm/functions/Function1;)Lspace/kscience/kmath/structures/Buffer; - public static fun times (Lspace/kscience/kmath/linear/GenericMatrixContext;Ljava/lang/Number;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public static fun times (Lspace/kscience/kmath/linear/GenericMatrixContext;Ljava/lang/Object;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public static fun times (Lspace/kscience/kmath/linear/GenericMatrixContext;Lspace/kscience/kmath/nd/Structure2D;Ljava/lang/Number;)Lspace/kscience/kmath/nd/Structure2D; - public static fun times (Lspace/kscience/kmath/linear/GenericMatrixContext;Lspace/kscience/kmath/nd/Structure2D;Ljava/lang/Object;)Lspace/kscience/kmath/nd/Structure2D; - public static fun unaryMinus (Lspace/kscience/kmath/linear/GenericMatrixContext;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public static fun unaryOperation (Lspace/kscience/kmath/linear/GenericMatrixContext;Ljava/lang/String;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public static fun unaryOperationFunction (Lspace/kscience/kmath/linear/GenericMatrixContext;Ljava/lang/String;)Lkotlin/jvm/functions/Function1; - public static fun unaryPlus (Lspace/kscience/kmath/linear/GenericMatrixContext;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; -} - public abstract interface class space/kscience/kmath/linear/InverseMatrixFeature : space/kscience/kmath/linear/MatrixFeature { public abstract fun getInverse ()Lspace/kscience/kmath/nd/Structure2D; } @@ -588,11 +474,6 @@ public final class space/kscience/kmath/linear/LFeature : space/kscience/kmath/l public static final field INSTANCE Lspace/kscience/kmath/linear/LFeature; } -public final class space/kscience/kmath/linear/LinearAlgebraKt { - public static final fun asMatrix (Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/linear/VirtualMatrix; - public static final fun asPoint (Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/structures/Buffer; -} - public abstract interface class space/kscience/kmath/linear/LinearSolver { public abstract fun inverse (Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; public abstract fun solve (Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; @@ -603,9 +484,58 @@ public final class space/kscience/kmath/linear/LinearSolver$DefaultImpls { public static fun solve (Lspace/kscience/kmath/linear/LinearSolver;Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; } +public final class space/kscience/kmath/linear/LinearSolverKt { + public static final fun asMatrix (Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/linear/VirtualMatrix; + public static final fun asVector (Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/structures/Buffer; +} + +public abstract interface class space/kscience/kmath/linear/LinearSpace { + public static final field Companion Lspace/kscience/kmath/linear/LinearSpace$Companion; + public abstract fun buildMatrix (IILkotlin/jvm/functions/Function3;)Lspace/kscience/kmath/nd/Structure2D; + public abstract fun buildVector (ILkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/structures/Buffer; + public abstract fun dot (Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; + public abstract fun dot (Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; + public abstract fun getElementAlgebra ()Lspace/kscience/kmath/operations/Ring; + public abstract fun minus (Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; + public abstract fun minus (Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; + public abstract fun plus (Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; + public abstract fun plus (Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; + public abstract fun times (Ljava/lang/Object;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; + public abstract fun times (Ljava/lang/Object;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; + public abstract fun times (Lspace/kscience/kmath/nd/Structure2D;Ljava/lang/Object;)Lspace/kscience/kmath/nd/Structure2D; + public abstract fun times (Lspace/kscience/kmath/structures/Buffer;Ljava/lang/Object;)Lspace/kscience/kmath/structures/Buffer; + public abstract fun unaryMinus (Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; + public abstract fun unaryMinus (Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; +} + +public final class space/kscience/kmath/linear/LinearSpace$Companion { + public final fun buffered (Lspace/kscience/kmath/operations/Ring;Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/linear/LinearSpace; + public static synthetic fun buffered$default (Lspace/kscience/kmath/linear/LinearSpace$Companion;Lspace/kscience/kmath/operations/Ring;Lkotlin/jvm/functions/Function2;ILjava/lang/Object;)Lspace/kscience/kmath/linear/LinearSpace; + public final fun getReal ()Lspace/kscience/kmath/linear/LinearSpace; +} + +public final class space/kscience/kmath/linear/LinearSpace$DefaultImpls { + public static fun dot (Lspace/kscience/kmath/linear/LinearSpace;Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; + public static fun dot (Lspace/kscience/kmath/linear/LinearSpace;Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; + public static fun minus (Lspace/kscience/kmath/linear/LinearSpace;Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; + public static fun minus (Lspace/kscience/kmath/linear/LinearSpace;Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; + public static fun plus (Lspace/kscience/kmath/linear/LinearSpace;Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; + public static fun plus (Lspace/kscience/kmath/linear/LinearSpace;Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; + public static fun times (Lspace/kscience/kmath/linear/LinearSpace;Ljava/lang/Object;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; + public static fun times (Lspace/kscience/kmath/linear/LinearSpace;Ljava/lang/Object;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; + public static fun times (Lspace/kscience/kmath/linear/LinearSpace;Lspace/kscience/kmath/nd/Structure2D;Ljava/lang/Object;)Lspace/kscience/kmath/nd/Structure2D; + public static fun times (Lspace/kscience/kmath/linear/LinearSpace;Lspace/kscience/kmath/structures/Buffer;Ljava/lang/Object;)Lspace/kscience/kmath/structures/Buffer; + public static fun unaryMinus (Lspace/kscience/kmath/linear/LinearSpace;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; + public static fun unaryMinus (Lspace/kscience/kmath/linear/LinearSpace;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; +} + +public final class space/kscience/kmath/linear/LinearSpaceKt { + public static final fun invoke (Lspace/kscience/kmath/linear/LinearSpace;Lkotlin/jvm/functions/Function1;)Ljava/lang/Object; +} + public final class space/kscience/kmath/linear/LupDecomposition : space/kscience/kmath/linear/DeterminantFeature, space/kscience/kmath/linear/LupDecompositionFeature { - public fun (Lspace/kscience/kmath/linear/MatrixContext;Lspace/kscience/kmath/operations/Field;Lspace/kscience/kmath/nd/Structure2D;[IZ)V - public final fun getContext ()Lspace/kscience/kmath/linear/MatrixContext; + public fun (Lspace/kscience/kmath/linear/LinearSpace;Lspace/kscience/kmath/operations/Field;Lspace/kscience/kmath/nd/Structure2D;[IZ)V + public final fun getContext ()Lspace/kscience/kmath/linear/LinearSpace; public fun getDeterminant ()Ljava/lang/Object; public final fun getElementContext ()Lspace/kscience/kmath/operations/Field; public fun getL ()Lspace/kscience/kmath/nd/Structure2D; @@ -622,57 +552,27 @@ public abstract interface class space/kscience/kmath/linear/LupDecompositionFeat } public final class space/kscience/kmath/linear/LupDecompositionKt { - public static final fun abs (Lspace/kscience/kmath/linear/GenericMatrixContext;Ljava/lang/Comparable;)Ljava/lang/Comparable; - public static final fun inverseWithLup (Lspace/kscience/kmath/linear/RealMatrixContext;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public static final fun lup (Lspace/kscience/kmath/linear/MatrixContext;Lkotlin/jvm/functions/Function2;Lspace/kscience/kmath/operations/Field;Lspace/kscience/kmath/nd/Structure2D;Lkotlin/jvm/functions/Function1;)Lspace/kscience/kmath/linear/LupDecomposition; - public static final fun lup (Lspace/kscience/kmath/linear/MatrixContext;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/linear/LupDecomposition; + public static final fun abs (Lspace/kscience/kmath/linear/LinearSpace;Ljava/lang/Comparable;)Ljava/lang/Comparable; + public static final fun inverseWithLup (Lspace/kscience/kmath/linear/LinearSpace;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; + public static final fun lup (Lspace/kscience/kmath/linear/LinearSpace;Lkotlin/jvm/functions/Function2;Lspace/kscience/kmath/nd/Structure2D;Lkotlin/jvm/functions/Function1;)Lspace/kscience/kmath/linear/LupDecomposition; + public static final fun lup (Lspace/kscience/kmath/linear/LinearSpace;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/linear/LupDecomposition; + public static final fun solveWithLup (Lspace/kscience/kmath/linear/LinearSpace;Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; public static final fun solveWithLup (Lspace/kscience/kmath/linear/LupDecomposition;Lkotlin/jvm/functions/Function2;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public static final fun solveWithLup (Lspace/kscience/kmath/linear/RealMatrixContext;Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; } public final class space/kscience/kmath/linear/MatrixBuilder { - public fun (II)V + public fun (Lspace/kscience/kmath/linear/LinearSpace;II)V public final fun getColumns ()I + public final fun getLinearSpace ()Lspace/kscience/kmath/linear/LinearSpace; public final fun getRows ()I public final fun invoke ([Ljava/lang/Object;)Lspace/kscience/kmath/nd/Structure2D; } public final class space/kscience/kmath/linear/MatrixBuilderKt { - public static final fun build (Lspace/kscience/kmath/nd/Structure2D$Companion;II)Lspace/kscience/kmath/linear/MatrixBuilder; - public static final fun column (Lspace/kscience/kmath/nd/Structure2D$Companion;[Ljava/lang/Object;)Lspace/kscience/kmath/nd/Structure2D; - public static final fun row (Lspace/kscience/kmath/nd/Structure2D$Companion;[Ljava/lang/Object;)Lspace/kscience/kmath/nd/Structure2D; -} - -public abstract interface class space/kscience/kmath/linear/MatrixContext : space/kscience/kmath/operations/GroupOperations, space/kscience/kmath/operations/ScaleOperations { - public static final field Companion Lspace/kscience/kmath/linear/MatrixContext$Companion; - public abstract fun binaryOperationFunction (Ljava/lang/String;)Lkotlin/jvm/functions/Function2; - public abstract fun dot (Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public abstract fun dot (Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; - public abstract fun point (ILkotlin/jvm/functions/Function1;)Lspace/kscience/kmath/structures/Buffer; - public abstract fun produce (IILkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/Structure2D; - public abstract fun times (Ljava/lang/Object;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public abstract fun times (Lspace/kscience/kmath/nd/Structure2D;Ljava/lang/Object;)Lspace/kscience/kmath/nd/Structure2D; -} - -public final class space/kscience/kmath/linear/MatrixContext$Companion { - public final fun buffered (Lspace/kscience/kmath/operations/Ring;Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/linear/GenericMatrixContext; - public static synthetic fun buffered$default (Lspace/kscience/kmath/linear/MatrixContext$Companion;Lspace/kscience/kmath/operations/Ring;Lkotlin/jvm/functions/Function2;ILjava/lang/Object;)Lspace/kscience/kmath/linear/GenericMatrixContext; -} - -public final class space/kscience/kmath/linear/MatrixContext$DefaultImpls { - public static fun binaryOperation (Lspace/kscience/kmath/linear/MatrixContext;Ljava/lang/String;Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public static fun binaryOperationFunction (Lspace/kscience/kmath/linear/MatrixContext;Ljava/lang/String;)Lkotlin/jvm/functions/Function2; - public static fun bindSymbol (Lspace/kscience/kmath/linear/MatrixContext;Ljava/lang/String;)Lspace/kscience/kmath/nd/Structure2D; - public static fun div (Lspace/kscience/kmath/linear/MatrixContext;Lspace/kscience/kmath/nd/Structure2D;Ljava/lang/Number;)Lspace/kscience/kmath/nd/Structure2D; - public static fun minus (Lspace/kscience/kmath/linear/MatrixContext;Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public static fun plus (Lspace/kscience/kmath/linear/MatrixContext;Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public static fun point (Lspace/kscience/kmath/linear/MatrixContext;ILkotlin/jvm/functions/Function1;)Lspace/kscience/kmath/structures/Buffer; - public static fun times (Lspace/kscience/kmath/linear/MatrixContext;Ljava/lang/Number;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public static fun times (Lspace/kscience/kmath/linear/MatrixContext;Ljava/lang/Object;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public static fun times (Lspace/kscience/kmath/linear/MatrixContext;Lspace/kscience/kmath/nd/Structure2D;Ljava/lang/Number;)Lspace/kscience/kmath/nd/Structure2D; - public static fun unaryOperation (Lspace/kscience/kmath/linear/MatrixContext;Ljava/lang/String;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public static fun unaryOperationFunction (Lspace/kscience/kmath/linear/MatrixContext;Ljava/lang/String;)Lkotlin/jvm/functions/Function1; - public static fun unaryPlus (Lspace/kscience/kmath/linear/MatrixContext;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; + public static final fun column (Lspace/kscience/kmath/linear/LinearSpace;ILkotlin/jvm/functions/Function1;)Lspace/kscience/kmath/nd/Structure2D; + public static final fun column (Lspace/kscience/kmath/linear/LinearSpace;[Ljava/lang/Object;)Lspace/kscience/kmath/nd/Structure2D; + public static final fun row (Lspace/kscience/kmath/linear/LinearSpace;ILkotlin/jvm/functions/Function1;)Lspace/kscience/kmath/nd/Structure2D; + public static final fun row (Lspace/kscience/kmath/linear/LinearSpace;[Ljava/lang/Object;)Lspace/kscience/kmath/nd/Structure2D; } public abstract interface class space/kscience/kmath/linear/MatrixFeature { @@ -688,12 +588,12 @@ public final class space/kscience/kmath/linear/MatrixWrapper : space/kscience/km public fun get (II)Ljava/lang/Object; public fun get ([I)Ljava/lang/Object; public fun getColNum ()I - public fun getColumns ()Lspace/kscience/kmath/structures/Buffer; + public fun getColumns ()Ljava/util/List; public fun getDimension ()I public final fun getFeatures ()Ljava/util/Set; public final fun getOrigin ()Lspace/kscience/kmath/nd/Structure2D; public fun getRowNum ()I - public fun getRows ()Lspace/kscience/kmath/structures/Buffer; + public fun getRows ()Ljava/util/List; public fun getShape ()[I public fun hashCode ()I public fun toString ()Ljava/lang/String; @@ -701,12 +601,11 @@ public final class space/kscience/kmath/linear/MatrixWrapper : space/kscience/km public final class space/kscience/kmath/linear/MatrixWrapperKt { public static final fun getOrigin (Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public static final fun one (Lspace/kscience/kmath/linear/GenericMatrixContext;II)Lspace/kscience/kmath/nd/Structure2D; + public static final fun one (Lspace/kscience/kmath/linear/LinearSpace;II)Lspace/kscience/kmath/nd/Structure2D; public static final fun plus (Lspace/kscience/kmath/nd/Structure2D;Ljava/util/Collection;)Lspace/kscience/kmath/linear/MatrixWrapper; public static final fun plus (Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/linear/MatrixFeature;)Lspace/kscience/kmath/linear/MatrixWrapper; - public static final fun square (Lspace/kscience/kmath/nd/Structure2D$Companion;[Ljava/lang/Object;)Lspace/kscience/kmath/nd/Structure2D; public static final fun transpose (Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public static final fun zero (Lspace/kscience/kmath/linear/GenericMatrixContext;II)Lspace/kscience/kmath/nd/Structure2D; + public static final fun zero (Lspace/kscience/kmath/linear/LinearSpace;II)Lspace/kscience/kmath/nd/Structure2D; } public final class space/kscience/kmath/linear/OrthogonalFeature : space/kscience/kmath/linear/MatrixFeature { @@ -718,52 +617,6 @@ public abstract interface class space/kscience/kmath/linear/QRDecompositionFeatu public abstract fun getR ()Lspace/kscience/kmath/nd/Structure2D; } -public final class space/kscience/kmath/linear/RealMatrixContext : space/kscience/kmath/linear/MatrixContext, space/kscience/kmath/operations/ScaleOperations { - public static final field INSTANCE Lspace/kscience/kmath/linear/RealMatrixContext; - public synthetic fun add (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun add (Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/linear/BufferMatrix; - public synthetic fun binaryOperation (Ljava/lang/String;Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun binaryOperation (Ljava/lang/String;Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public fun binaryOperationFunction (Ljava/lang/String;)Lkotlin/jvm/functions/Function2; - public synthetic fun bindSymbol (Ljava/lang/String;)Ljava/lang/Object; - public fun bindSymbol (Ljava/lang/String;)Lspace/kscience/kmath/nd/Structure2D; - public synthetic fun div (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; - public fun div (Lspace/kscience/kmath/nd/Structure2D;Ljava/lang/Number;)Lspace/kscience/kmath/nd/Structure2D; - public fun dot (Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/linear/BufferMatrix; - public synthetic fun dot (Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public fun dot (Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; - public synthetic fun minus (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun minus (Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public final fun one (II)Lspace/kscience/kmath/nd/Structure2D; - public synthetic fun plus (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun plus (Lspace/kscience/kmath/nd/Structure2D;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public fun point (ILkotlin/jvm/functions/Function1;)Lspace/kscience/kmath/structures/Buffer; - public fun produce (IILkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/linear/BufferMatrix; - public synthetic fun produce (IILkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/Structure2D; - public synthetic fun scale (Ljava/lang/Object;D)Ljava/lang/Object; - public fun scale (Lspace/kscience/kmath/nd/Structure2D;D)Lspace/kscience/kmath/linear/BufferMatrix; - public fun times (DLspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/linear/BufferMatrix; - public synthetic fun times (Ljava/lang/Number;Ljava/lang/Object;)Ljava/lang/Object; - public fun times (Ljava/lang/Number;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public synthetic fun times (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; - public synthetic fun times (Ljava/lang/Object;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public fun times (Lspace/kscience/kmath/nd/Structure2D;D)Lspace/kscience/kmath/linear/BufferMatrix; - public fun times (Lspace/kscience/kmath/nd/Structure2D;Ljava/lang/Number;)Lspace/kscience/kmath/nd/Structure2D; - public synthetic fun times (Lspace/kscience/kmath/nd/Structure2D;Ljava/lang/Object;)Lspace/kscience/kmath/nd/Structure2D; - public final fun toBufferMatrix (Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/linear/BufferMatrix; - public synthetic fun unaryMinus (Ljava/lang/Object;)Ljava/lang/Object; - public fun unaryMinus (Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public synthetic fun unaryOperation (Ljava/lang/String;Ljava/lang/Object;)Ljava/lang/Object; - public fun unaryOperation (Ljava/lang/String;Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; - public fun unaryOperationFunction (Ljava/lang/String;)Lkotlin/jvm/functions/Function1; - public synthetic fun unaryPlus (Ljava/lang/Object;)Ljava/lang/Object; - public fun unaryPlus (Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/nd/Structure2D; -} - -public final class space/kscience/kmath/linear/RealMatrixContextKt { - public static final fun getReal (Lspace/kscience/kmath/linear/MatrixContext$Companion;)Lspace/kscience/kmath/linear/RealMatrixContext; -} - public abstract interface class space/kscience/kmath/linear/SingularValueDecompositionFeature : space/kscience/kmath/linear/MatrixFeature { public abstract fun getS ()Lspace/kscience/kmath/nd/Structure2D; public abstract fun getSingularValues ()Lspace/kscience/kmath/structures/Buffer; @@ -784,41 +637,6 @@ public final class space/kscience/kmath/linear/UnitFeature : space/kscience/kmat public static final field INSTANCE Lspace/kscience/kmath/linear/UnitFeature; } -public abstract interface class space/kscience/kmath/linear/VectorSpace : space/kscience/kmath/operations/Group, space/kscience/kmath/operations/ScaleOperations { - public static final field Companion Lspace/kscience/kmath/linear/VectorSpace$Companion; - public abstract fun add (Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; - public abstract fun getAlgebra ()Lspace/kscience/kmath/operations/Group; - public abstract fun getSize ()I - public abstract fun getZero ()Lspace/kscience/kmath/structures/Buffer; - public abstract fun produce (Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/structures/Buffer; - public abstract fun scale (Lspace/kscience/kmath/structures/Buffer;D)Lspace/kscience/kmath/structures/Buffer; - public abstract fun unaryMinus (Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; -} - -public final class space/kscience/kmath/linear/VectorSpace$Companion { - public final fun buffered (ILspace/kscience/kmath/operations/Group;Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/linear/BufferVectorSpace; - public static synthetic fun buffered$default (Lspace/kscience/kmath/linear/VectorSpace$Companion;ILspace/kscience/kmath/operations/Group;Lkotlin/jvm/functions/Function2;ILjava/lang/Object;)Lspace/kscience/kmath/linear/BufferVectorSpace; - public final fun real (I)Lspace/kscience/kmath/linear/BufferVectorSpace; -} - -public final class space/kscience/kmath/linear/VectorSpace$DefaultImpls { - public static fun add (Lspace/kscience/kmath/linear/VectorSpace;Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; - public static fun binaryOperation (Lspace/kscience/kmath/linear/VectorSpace;Ljava/lang/String;Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; - public static fun binaryOperationFunction (Lspace/kscience/kmath/linear/VectorSpace;Ljava/lang/String;)Lkotlin/jvm/functions/Function2; - public static fun bindSymbol (Lspace/kscience/kmath/linear/VectorSpace;Ljava/lang/String;)Lspace/kscience/kmath/structures/Buffer; - public static fun div (Lspace/kscience/kmath/linear/VectorSpace;Lspace/kscience/kmath/structures/Buffer;Ljava/lang/Number;)Lspace/kscience/kmath/structures/Buffer; - public static fun getZero (Lspace/kscience/kmath/linear/VectorSpace;)Lspace/kscience/kmath/structures/Buffer; - public static fun minus (Lspace/kscience/kmath/linear/VectorSpace;Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; - public static fun plus (Lspace/kscience/kmath/linear/VectorSpace;Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; - public static fun scale (Lspace/kscience/kmath/linear/VectorSpace;Lspace/kscience/kmath/structures/Buffer;D)Lspace/kscience/kmath/structures/Buffer; - public static fun times (Lspace/kscience/kmath/linear/VectorSpace;Ljava/lang/Number;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; - public static fun times (Lspace/kscience/kmath/linear/VectorSpace;Lspace/kscience/kmath/structures/Buffer;Ljava/lang/Number;)Lspace/kscience/kmath/structures/Buffer; - public static fun unaryMinus (Lspace/kscience/kmath/linear/VectorSpace;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; - public static fun unaryOperation (Lspace/kscience/kmath/linear/VectorSpace;Ljava/lang/String;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; - public static fun unaryOperationFunction (Lspace/kscience/kmath/linear/VectorSpace;Ljava/lang/String;)Lkotlin/jvm/functions/Function1; - public static fun unaryPlus (Lspace/kscience/kmath/linear/VectorSpace;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; -} - public final class space/kscience/kmath/linear/VirtualMatrix : space/kscience/kmath/nd/Structure2D { public fun (IILkotlin/jvm/functions/Function2;)V public fun elements ()Lkotlin/sequences/Sequence; @@ -826,11 +644,11 @@ public final class space/kscience/kmath/linear/VirtualMatrix : space/kscience/km public fun get (II)Ljava/lang/Object; public fun get ([I)Ljava/lang/Object; public fun getColNum ()I - public fun getColumns ()Lspace/kscience/kmath/structures/Buffer; + public fun getColumns ()Ljava/util/List; public fun getDimension ()I public final fun getGenerator ()Lkotlin/jvm/functions/Function2; public fun getRowNum ()I - public fun getRows ()Lspace/kscience/kmath/structures/Buffer; + public fun getRows ()Ljava/util/List; public fun getShape ()[I public fun hashCode ()I } @@ -882,11 +700,11 @@ public final class space/kscience/kmath/nd/BufferNDAlgebra$DefaultImpls { public final class space/kscience/kmath/nd/BufferNDAlgebraKt { public static final fun field (Lspace/kscience/kmath/nd/NDAlgebra$Companion;Lspace/kscience/kmath/operations/Field;Lkotlin/jvm/functions/Function2;[I)Lspace/kscience/kmath/nd/BufferedNDField; + public static final fun group (Lspace/kscience/kmath/nd/NDAlgebra$Companion;Lspace/kscience/kmath/operations/Group;Lkotlin/jvm/functions/Function2;[I)Lspace/kscience/kmath/nd/BufferedNDGroup; public static final fun ndField (Lspace/kscience/kmath/operations/Field;Lkotlin/jvm/functions/Function2;[ILkotlin/jvm/functions/Function1;)Ljava/lang/Object; + public static final fun ndGroup (Lspace/kscience/kmath/operations/Group;Lkotlin/jvm/functions/Function2;[ILkotlin/jvm/functions/Function1;)Ljava/lang/Object; public static final fun ndRing (Lspace/kscience/kmath/operations/Ring;Lkotlin/jvm/functions/Function2;[ILkotlin/jvm/functions/Function1;)Ljava/lang/Object; - public static final fun ndSpace (Lspace/kscience/kmath/operations/Group;Lkotlin/jvm/functions/Function2;[ILkotlin/jvm/functions/Function1;)Ljava/lang/Object; public static final fun ring (Lspace/kscience/kmath/nd/NDAlgebra$Companion;Lspace/kscience/kmath/operations/Ring;Lkotlin/jvm/functions/Function2;[I)Lspace/kscience/kmath/nd/BufferedNDRing; - public static final fun space (Lspace/kscience/kmath/nd/NDAlgebra$Companion;Lspace/kscience/kmath/operations/Group;Lkotlin/jvm/functions/Function2;[I)Lspace/kscience/kmath/nd/BufferedNDGroup; } public class space/kscience/kmath/nd/BufferedNDField : space/kscience/kmath/nd/BufferedNDRing, space/kscience/kmath/nd/NDField { @@ -1147,10 +965,10 @@ public abstract interface class space/kscience/kmath/nd/NDStructure { public final class space/kscience/kmath/nd/NDStructure$Companion { public final fun auto (Lkotlin/reflect/KClass;Lspace/kscience/kmath/nd/Strides;Lkotlin/jvm/functions/Function1;)Lspace/kscience/kmath/nd/NDBuffer; public final fun auto (Lkotlin/reflect/KClass;[ILkotlin/jvm/functions/Function1;)Lspace/kscience/kmath/nd/NDBuffer; - public final fun build (Lspace/kscience/kmath/nd/Strides;Lkotlin/jvm/functions/Function2;Lkotlin/jvm/functions/Function1;)Lspace/kscience/kmath/nd/NDBuffer; - public final fun build ([ILkotlin/jvm/functions/Function2;Lkotlin/jvm/functions/Function1;)Lspace/kscience/kmath/nd/NDBuffer; - public static synthetic fun build$default (Lspace/kscience/kmath/nd/NDStructure$Companion;Lspace/kscience/kmath/nd/Strides;Lkotlin/jvm/functions/Function2;Lkotlin/jvm/functions/Function1;ILjava/lang/Object;)Lspace/kscience/kmath/nd/NDBuffer; - public static synthetic fun build$default (Lspace/kscience/kmath/nd/NDStructure$Companion;[ILkotlin/jvm/functions/Function2;Lkotlin/jvm/functions/Function1;ILjava/lang/Object;)Lspace/kscience/kmath/nd/NDBuffer; + public final fun buffered (Lspace/kscience/kmath/nd/Strides;Lkotlin/jvm/functions/Function2;Lkotlin/jvm/functions/Function1;)Lspace/kscience/kmath/nd/NDBuffer; + public final fun buffered ([ILkotlin/jvm/functions/Function2;Lkotlin/jvm/functions/Function1;)Lspace/kscience/kmath/nd/NDBuffer; + public static synthetic fun buffered$default (Lspace/kscience/kmath/nd/NDStructure$Companion;Lspace/kscience/kmath/nd/Strides;Lkotlin/jvm/functions/Function2;Lkotlin/jvm/functions/Function1;ILjava/lang/Object;)Lspace/kscience/kmath/nd/NDBuffer; + public static synthetic fun buffered$default (Lspace/kscience/kmath/nd/NDStructure$Companion;[ILkotlin/jvm/functions/Function2;Lkotlin/jvm/functions/Function1;ILjava/lang/Object;)Lspace/kscience/kmath/nd/NDBuffer; public final fun contentEquals (Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Z } @@ -1307,22 +1125,21 @@ public abstract interface class space/kscience/kmath/nd/Structure2D : space/ksci public abstract fun get (II)Ljava/lang/Object; public abstract fun get ([I)Ljava/lang/Object; public abstract fun getColNum ()I - public abstract fun getColumns ()Lspace/kscience/kmath/structures/Buffer; + public abstract fun getColumns ()Ljava/util/List; public abstract fun getRowNum ()I - public abstract fun getRows ()Lspace/kscience/kmath/structures/Buffer; + public abstract fun getRows ()Ljava/util/List; public abstract fun getShape ()[I } public final class space/kscience/kmath/nd/Structure2D$Companion { - public final fun real (IILkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/linear/BufferMatrix; } public final class space/kscience/kmath/nd/Structure2D$DefaultImpls { public static fun elements (Lspace/kscience/kmath/nd/Structure2D;)Lkotlin/sequences/Sequence; public static fun get (Lspace/kscience/kmath/nd/Structure2D;[I)Ljava/lang/Object; - public static fun getColumns (Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/structures/Buffer; + public static fun getColumns (Lspace/kscience/kmath/nd/Structure2D;)Ljava/util/List; public static fun getDimension (Lspace/kscience/kmath/nd/Structure2D;)I - public static fun getRows (Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/structures/Buffer; + public static fun getRows (Lspace/kscience/kmath/nd/Structure2D;)Ljava/util/List; public static fun getShape (Lspace/kscience/kmath/nd/Structure2D;)[I } @@ -2298,7 +2115,6 @@ public abstract interface class space/kscience/kmath/structures/Buffer { public final class space/kscience/kmath/structures/Buffer$Companion { public final fun auto (Lkotlin/reflect/KClass;ILkotlin/jvm/functions/Function1;)Lspace/kscience/kmath/structures/Buffer; public final fun boxing (ILkotlin/jvm/functions/Function1;)Lspace/kscience/kmath/structures/Buffer; - public final fun real-8hrHhI4 (ILkotlin/jvm/functions/Function1;)[D } public final class space/kscience/kmath/structures/Buffer$DefaultImpls { @@ -2306,13 +2122,16 @@ public final class space/kscience/kmath/structures/Buffer$DefaultImpls { } public final class space/kscience/kmath/structures/BufferKt { - public static final fun ListBuffer (ILkotlin/jvm/functions/Function1;)Ljava/util/List; public static final fun asBuffer (Ljava/util/List;)Ljava/util/List; public static final fun asBuffer ([Ljava/lang/Object;)Lspace/kscience/kmath/structures/ArrayBuffer; - public static final fun asIterable (Lspace/kscience/kmath/structures/Buffer;)Ljava/lang/Iterable; + public static final fun asMutableBuffer (Ljava/util/List;)Ljava/util/List; public static final fun asReadOnly (Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; - public static final fun asSequence (Lspace/kscience/kmath/structures/Buffer;)Lkotlin/sequences/Sequence; public static final fun getIndices (Lspace/kscience/kmath/structures/Buffer;)Lkotlin/ranges/IntRange; +} + +public final class space/kscience/kmath/structures/BufferOperationKt { + public static final fun asIterable (Lspace/kscience/kmath/structures/Buffer;)Ljava/lang/Iterable; + public static final fun asSequence (Lspace/kscience/kmath/structures/Buffer;)Lkotlin/sequences/Sequence; public static final fun toList (Lspace/kscience/kmath/structures/Buffer;)Ljava/util/List; } @@ -2376,7 +2195,7 @@ public final class space/kscience/kmath/structures/FloatBufferKt { public static final fun FloatBuffer (ILkotlin/jvm/functions/Function1;)[F public static final fun FloatBuffer ([F)[F public static final fun asBuffer ([F)[F - public static final fun getArray (Lspace/kscience/kmath/structures/MutableBuffer;)[F + public static final fun toFloatArray (Lspace/kscience/kmath/structures/Buffer;)[F } public final class space/kscience/kmath/structures/IntBuffer : space/kscience/kmath/structures/MutableBuffer { @@ -2412,7 +2231,7 @@ public final class space/kscience/kmath/structures/IntBufferKt { public static final fun IntBuffer (ILkotlin/jvm/functions/Function1;)[I public static final fun IntBuffer ([I)[I public static final fun asBuffer ([I)[I - public static final fun getArray (Lspace/kscience/kmath/structures/MutableBuffer;)[I + public static final fun toIntArray (Lspace/kscience/kmath/structures/Buffer;)[I } public final class space/kscience/kmath/structures/ListBuffer : space/kscience/kmath/structures/Buffer { @@ -2470,7 +2289,7 @@ public final class space/kscience/kmath/structures/LongBufferKt { public static final fun LongBuffer (ILkotlin/jvm/functions/Function1;)[J public static final fun LongBuffer ([J)[J public static final fun asBuffer ([J)[J - public static final fun getArray (Lspace/kscience/kmath/structures/MutableBuffer;)[J + public static final fun toLongArray (Lspace/kscience/kmath/structures/Buffer;)[J } public class space/kscience/kmath/structures/MemoryBuffer : space/kscience/kmath/structures/Buffer { @@ -2498,7 +2317,11 @@ public abstract interface class space/kscience/kmath/structures/MutableBuffer : public final class space/kscience/kmath/structures/MutableBuffer$Companion { public final fun auto (Lkotlin/reflect/KClass;ILkotlin/jvm/functions/Function1;)Lspace/kscience/kmath/structures/MutableBuffer; public final fun boxing (ILkotlin/jvm/functions/Function1;)Lspace/kscience/kmath/structures/MutableBuffer; + public final fun float-YxruXGw (ILkotlin/jvm/functions/Function1;)[F + public final fun int-Ye6GY2U (ILkotlin/jvm/functions/Function1;)[I + public final fun long-BuQOeTY (ILkotlin/jvm/functions/Function1;)[J public final fun real-8hrHhI4 (ILkotlin/jvm/functions/Function1;)[D + public final fun short-1yRgbGw (ILkotlin/jvm/functions/Function1;)[S } public final class space/kscience/kmath/structures/MutableBuffer$DefaultImpls { @@ -2749,7 +2572,7 @@ public final class space/kscience/kmath/structures/RealBufferKt { public static final fun RealBuffer ([D)[D public static final fun asBuffer ([D)[D public static final fun contentEquals-2uVC2J0 ([D[D)Z - public static final fun getArray (Lspace/kscience/kmath/structures/MutableBuffer;)[D + public static final fun toDoubleArray (Lspace/kscience/kmath/structures/Buffer;)[D } public final class space/kscience/kmath/structures/ShortBuffer : space/kscience/kmath/structures/MutableBuffer { @@ -2785,7 +2608,7 @@ public final class space/kscience/kmath/structures/ShortBufferKt { public static final fun ShortBuffer (ILkotlin/jvm/functions/Function1;)[S public static final fun ShortBuffer ([S)[S public static final fun asBuffer ([S)[S - public static final fun getArray (Lspace/kscience/kmath/structures/MutableBuffer;)[S + public static final fun toShortArray (Lspace/kscience/kmath/structures/Buffer;)[S } public final class space/kscience/kmath/structures/ValueFlag : java/lang/Enum { diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/DifferentiableExpression.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/DifferentiableExpression.kt index 508a62aca..5cbc4dbf4 100644 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/DifferentiableExpression.kt +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/DifferentiableExpression.kt @@ -28,7 +28,7 @@ public fun > DifferentiableExpression.derivative(name /** * A [DifferentiableExpression] that defines only first derivatives */ -public abstract class FirstDerivativeExpression> : DifferentiableExpression { +public abstract class FirstDerivativeExpression> : DifferentiableExpression { /** * Returns first derivative of this expression by given [symbol]. */ diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/Expression.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/Expression.kt index 231bbdab1..5ba24aa62 100644 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/Expression.kt +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/Expression.kt @@ -95,7 +95,7 @@ public fun ExpressionAlgebra.bindSymbol(symbol: Symbol): E = /** * A delegate to create a symbol with a string identity in this scope */ -public val symbol: ReadOnlyProperty = ReadOnlyProperty { _, property -> +public val symbol: ReadOnlyProperty = ReadOnlyProperty { _, property -> StringSymbol(property.name) } diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/FunctionalExpressionAlgebra.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/FunctionalExpressionAlgebra.kt index 880f13a3e..cca75754f 100644 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/FunctionalExpressionAlgebra.kt +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/FunctionalExpressionAlgebra.kt @@ -98,7 +98,7 @@ public open class FunctionalExpressionRing>( super.binaryOperationFunction(operation) } -public open class FunctionalExpressionField>( +public open class FunctionalExpressionField>( algebra: A, ) : FunctionalExpressionRing(algebra), Field>, ScaleOperations> { diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/BufferMatrix.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/BufferMatrix.kt deleted file mode 100644 index ba7b7358c..000000000 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/BufferMatrix.kt +++ /dev/null @@ -1,144 +0,0 @@ -package space.kscience.kmath.linear - -import space.kscience.kmath.nd.NDStructure -import space.kscience.kmath.nd.Structure2D -import space.kscience.kmath.operations.Ring -import space.kscience.kmath.operations.ScaleOperations -import space.kscience.kmath.operations.invoke -import space.kscience.kmath.structures.Buffer -import space.kscience.kmath.structures.BufferFactory -import space.kscience.kmath.structures.asSequence - -/** - * Alias for [Structure2D] with more familiar name. - * - * @param T the type of items. - */ -public typealias Matrix = Structure2D - -/** - * Basic implementation of Matrix space based on [NDStructure] - */ -public class BufferMatrixContext( - public override val elementContext: A, - private val bufferFactory: BufferFactory, -) : GenericMatrixContext> where A : Ring, A : ScaleOperations { - - public override fun produce(rows: Int, columns: Int, initializer: (i: Int, j: Int) -> T): BufferMatrix { - val buffer = bufferFactory(rows * columns) { offset -> initializer(offset / columns, offset % columns) } - return BufferMatrix(rows, columns, buffer) - } - - override fun scale(a: Matrix, value: Double): Matrix = elementContext { - produce(a.rowNum, a.colNum) { i, j -> - a[i, j] * value - } - } - - public override fun point(size: Int, initializer: (Int) -> T): Point = bufferFactory(size, initializer) - - private fun Matrix.toBufferMatrix(): BufferMatrix = if (this is BufferMatrix) this else { - produce(rowNum, colNum) { i, j -> get(i, j) } - } - - public fun one(rows: Int, columns: Int): Matrix = VirtualMatrix(rows, columns) { i, j -> - if (i == j) 1.0 else 0.0 - } + DiagonalFeature - - public override infix fun Matrix.dot(other: Matrix): BufferMatrix { - require(colNum == other.rowNum) { "Matrix dot operation dimension mismatch: ($rowNum, $colNum) x (${other.rowNum}, ${other.colNum})" } - val bufferMatrix = toBufferMatrix() - val otherBufferMatrix = other.toBufferMatrix() - return elementContext { - produce(rowNum, other.colNum) { i, j -> - var res = one - for (l in 0 until colNum) { - res += bufferMatrix[i, l] * otherBufferMatrix[l, j] - } - res - } - } - } - - public override infix fun Matrix.dot(vector: Point): Point { - require(colNum == vector.size) { "Matrix dot vector operation dimension mismatch: ($rowNum, $colNum) x (${vector.size})" } - val bufferMatrix = toBufferMatrix() - return elementContext { - bufferFactory(rowNum) { i -> - var res = one - for (j in 0 until colNum) { - res += bufferMatrix[i, j] * vector[j] - } - res - } - } - } - - override fun add(a: Matrix, b: Matrix): BufferMatrix { - require(a.rowNum == b.rowNum) { "Row number mismatch in matrix addition. Left side: ${a.rowNum}, right side: ${b.rowNum}" } - require(a.colNum == b.colNum) { "Column number mismatch in matrix addition. Left side: ${a.colNum}, right side: ${b.colNum}" } - val aBufferMatrix = a.toBufferMatrix() - val bBufferMatrix = b.toBufferMatrix() - return elementContext { - produce(a.rowNum, a.colNum) { i, j -> - aBufferMatrix[i, j] + bBufferMatrix[i, j] - } - } - } - -// override fun multiply(a: Matrix, k: Number): BufferMatrix { -// val aBufferMatrix = a.toBufferMatrix() -// return elementContext { -// produce(a.rowNum, a.colNum) { i, j -> aBufferMatrix[i, j] * k.toDouble() } -// } -// } - - public companion object -} - -public class BufferMatrix( - public override val rowNum: Int, - public override val colNum: Int, - public val buffer: Buffer, -) : Matrix { - - init { - require(buffer.size == rowNum * colNum) { "Dimension mismatch for matrix structure" } - } - - override val shape: IntArray get() = intArrayOf(rowNum, colNum) - - public override operator fun get(index: IntArray): T = get(index[0], index[1]) - public override operator fun get(i: Int, j: Int): T = buffer[i * colNum + j] - - public override fun elements(): Sequence> = sequence { - for (i in 0 until rowNum) for (j in 0 until colNum) yield(intArrayOf(i, j) to get(i, j)) - } - - public override fun equals(other: Any?): Boolean { - if (this === other) return true - - return when (other) { - is NDStructure<*> -> NDStructure.contentEquals(this, other) - else -> false - } - } - - override fun hashCode(): Int { - var result = rowNum - result = 31 * result + colNum - result = 31 * result + buffer.hashCode() - return result - } - - public override fun toString(): String { - return if (rowNum <= 5 && colNum <= 5) - "Matrix(rowsNum = $rowNum, colNum = $colNum)\n" + - rows.asSequence().joinToString(prefix = "(", postfix = ")", separator = "\n ") { buffer -> - buffer.asSequence().joinToString(separator = "\t") { it.toString() } - } - else "Matrix(rowsNum = $rowNum, colNum = $colNum)" - } - - -} diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/BufferedLinearSpace.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/BufferedLinearSpace.kt new file mode 100644 index 000000000..fe92a711a --- /dev/null +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/BufferedLinearSpace.kt @@ -0,0 +1,83 @@ +package space.kscience.kmath.linear + +import space.kscience.kmath.nd.* +import space.kscience.kmath.operations.Ring +import space.kscience.kmath.operations.invoke +import space.kscience.kmath.structures.Buffer +import space.kscience.kmath.structures.BufferFactory +import space.kscience.kmath.structures.VirtualBuffer +import space.kscience.kmath.structures.indices + + +public class BufferedLinearSpace>( + override val elementAlgebra: A, + private val bufferFactory: BufferFactory, +) : LinearSpace { + + private fun ndRing( + rows: Int, + cols: Int, + ): BufferedNDRing = NDAlgebra.ring(elementAlgebra, bufferFactory, rows, cols) + + override fun buildMatrix(rows: Int, columns: Int, initializer: A.(i: Int, j: Int) -> T): Matrix = + ndRing(rows, columns).produce { (i, j) -> elementAlgebra.initializer(i, j) }.as2D() + + override fun buildVector(size: Int, initializer: A.(Int) -> T): Point = + bufferFactory(size) { elementAlgebra.initializer(it) } + + override fun Matrix.unaryMinus(): Matrix = ndRing(rowNum, colNum).run { + unwrap().map { -it }.as2D() + } + + override fun Matrix.plus(other: Matrix): Matrix = ndRing(rowNum, colNum).run { + require(shape.contentEquals(other.shape)) { "Shape mismatch on Matrix::plus. Expected $shape but found ${other.shape}" } + unwrap().plus(other.unwrap()).as2D() + } + + override fun Matrix.minus(other: Matrix): Matrix = ndRing(rowNum, colNum).run { + require(shape.contentEquals(other.shape)) { "Shape mismatch on Matrix::minus. Expected $shape but found ${other.shape}" } + unwrap().minus(other.unwrap()).as2D() + } + + private fun Buffer.linearize() = if (this is VirtualBuffer) { + buildVector(size) { get(it) } + } else { + this + } + + override fun Matrix.dot(other: Matrix): Matrix { + require(colNum == other.rowNum) { "Matrix dot operation dimension mismatch: ($rowNum, $colNum) x (${other.rowNum}, ${other.colNum})" } + return elementAlgebra { + val rows = this@dot.rows.map { it.linearize() } + val columns = other.columns.map { it.linearize() } + buildMatrix(rowNum, other.colNum) { i, j -> + val r = rows[i] + val c = columns[j] + var res = zero + for (l in r.indices) { + res += r[l] * c[l] + } + res + } + } + } + + override fun Matrix.dot(vector: Point): Point { + require(colNum == vector.size) { "Matrix dot vector operation dimension mismatch: ($rowNum, $colNum) x (${vector.size})" } + return elementAlgebra { + val rows = this@dot.rows.map { it.linearize() } + buildVector(rowNum) { i -> + val r = rows[i] + var res = zero + for (j in r.indices) { + res += r[j] * vector[j] + } + res + } + } + } + + override fun Matrix.times(value: T): Matrix = ndRing(rowNum, colNum).run { + unwrap().map { it * value }.as2D() + } +} \ No newline at end of file diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/LinearAlgebra.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/LinearSolver.kt similarity index 60% rename from kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/LinearAlgebra.kt rename to kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/LinearSolver.kt index ea871ccba..af136c552 100644 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/LinearAlgebra.kt +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/LinearSolver.kt @@ -1,25 +1,33 @@ package space.kscience.kmath.linear -import space.kscience.kmath.structures.Buffer -import space.kscience.kmath.structures.VirtualBuffer - -public typealias Point = Buffer +import space.kscience.kmath.nd.as1D /** * A group of methods to resolve equation A dot X = B, where A and B are matrices or vectors */ public interface LinearSolver { + /** + * Solve a dot x = b matrix equation and return x + */ public fun solve(a: Matrix, b: Matrix): Matrix - public fun solve(a: Matrix, b: Point): Point = solve(a, b.asMatrix()).asPoint() - public fun inverse(a: Matrix): Matrix + + /** + * Solve a dot x = b vector equation and return b + */ + public fun solve(a: Matrix, b: Point): Point = solve(a, b.asMatrix()).asVector() + + /** + * Get inverse of a matrix + */ + public fun inverse(matrix: Matrix): Matrix } /** * Convert matrix to vector if it is possible */ -public fun Matrix.asPoint(): Point = +public fun Matrix.asVector(): Point = if (this.colNum == 1) - VirtualBuffer(rowNum) { get(it, 0) } + as1D() else error("Can't convert matrix with more than one column to vector") diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/LinearSpace.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/LinearSpace.kt new file mode 100644 index 000000000..e8c7d119b --- /dev/null +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/LinearSpace.kt @@ -0,0 +1,202 @@ +package space.kscience.kmath.linear + +import space.kscience.kmath.misc.UnstableKMathAPI +import space.kscience.kmath.nd.* +import space.kscience.kmath.operations.* +import space.kscience.kmath.structures.Buffer +import space.kscience.kmath.structures.BufferFactory +import space.kscience.kmath.structures.RealBuffer +import kotlin.reflect.KClass + +/** + * Alias for [Structure2D] with more familiar name. + * + * @param T the type of items. + */ +public typealias Matrix = Structure2D + +/** + * Alias or using [Buffer] as a point/vector in a many-dimensional space. + */ +public typealias Point = Buffer + +/** + * Basic operations on matrices and vectors. Operates on [Matrix]. + * + * @param T the type of items in the matrices. + * @param M the type of operated matrices. + */ +public interface LinearSpace> { + public val elementAlgebra: A + + /** + * Produces a matrix with this context and given dimensions. + */ + public fun buildMatrix(rows: Int, columns: Int, initializer: A.(i: Int, j: Int) -> T): Matrix + + /** + * Produces a point compatible with matrix space (and possibly optimized for it). + */ + public fun buildVector(size: Int, initializer: A.(Int) -> T): Point + + public operator fun Matrix.unaryMinus(): Matrix = buildMatrix(rowNum, colNum) { i, j -> + -get(i, j) + } + + public operator fun Point.unaryMinus(): Point = buildVector(size) { + -get(it) + } + + /** + * Matrix sum + */ + public operator fun Matrix.plus(other: Matrix): Matrix = buildMatrix(rowNum, colNum) { i, j -> + get(i, j) + other[i, j] + } + + + /** + * Vector sum + */ + public operator fun Point.plus(other: Point): Point = buildVector(size) { + get(it) + other[it] + } + + /** + * Matrix subtraction + */ + public operator fun Matrix.minus(other: Matrix): Matrix = buildMatrix(rowNum, colNum) { i, j -> + get(i, j) - other[i, j] + } + + /** + * Vector subtraction + */ + public operator fun Point.minus(other: Point): Point = buildVector(size) { + get(it) - other[it] + } + + + /** + * Computes the dot product of this matrix and another one. + * + * @receiver the multiplicand. + * @param other the multiplier. + * @return the dot product. + */ + public infix fun Matrix.dot(other: Matrix): Matrix { + require(colNum == other.rowNum) { "Matrix dot operation dimension mismatch: ($rowNum, $colNum) x (${other.rowNum}, ${other.colNum})" } + return elementAlgebra { + buildMatrix(rowNum, other.colNum) { i, j -> + var res = zero + for (l in 0 until colNum) { + res += this@dot[i, l] * other[l, j] + } + res + } + } + } + + /** + * Computes the dot product of this matrix and a vector. + * + * @receiver the multiplicand. + * @param vector the multiplier. + * @return the dot product. + */ + public infix fun Matrix.dot(vector: Point): Point { + require(colNum == vector.size) { "Matrix dot vector operation dimension mismatch: ($rowNum, $colNum) x (${vector.size})" } + return elementAlgebra { + buildVector(rowNum) { i -> + var res = one + for (j in 0 until colNum) { + res += this@dot[i, j] * vector[j] + } + res + } + } + } + + /** + * Multiplies a matrix by its element. + * + * @receiver the multiplicand. + * @param value the multiplier. + * @receiver the product. + */ + public operator fun Matrix.times(value: T): Matrix = + buildMatrix(rowNum, colNum) { i, j -> get(i, j) * value } + + /** + * Multiplies an element by a matrix of it. + * + * @receiver the multiplicand. + * @param m the multiplier. + * @receiver the product. + */ + public operator fun T.times(m: Matrix): Matrix = m * this + + /** + * Multiplies a vector by its element. + * + * @receiver the multiplicand. + * @param value the multiplier. + * @receiver the product. + */ + public operator fun Point.times(value: T): Point = + buildVector(size) { i -> get(i) * value } + + /** + * Multiplies an element by a vector of it. + * + * @receiver the multiplicand. + * @param v the multiplier. + * @receiver the product. + */ + public operator fun T.times(v: Point): Point = v * this + + /** + * Get a feature of the structure in this scope. Structure features take precedence other context features + * + * @param F the type of feature. + * @param structure the structure. + * @param type the [KClass] instance of [F]. + * @return a feature object or `null` if it isn't present. + */ + @UnstableKMathAPI + public fun getFeature(structure: Matrix, type: KClass): F? = structure.getFeature(type) + + public companion object { + + /** + * A structured matrix with custom buffer + */ + public fun > buffered( + algebra: A, + bufferFactory: BufferFactory = Buffer.Companion::boxing, + ): LinearSpace = BufferedLinearSpace(algebra, bufferFactory) + + public val real: LinearSpace = buffered(RealField, ::RealBuffer) + + /** + * Automatic buffered matrix, unboxed if it is possible + */ + public inline fun > auto(ring: A): LinearSpace = + buffered(ring, Buffer.Companion::auto) + } +} + +/** + * Get a feature of the structure in this scope. Structure features take precedence other context features + * + * @param T the type of items in the matrices. + * @param F the type of feature. + * @return a feature object or `null` if it isn't present. + */ +@UnstableKMathAPI +public inline fun LinearSpace.getFeature(structure: Matrix): F? = + getFeature(structure, F::class) + + +public operator fun , R> LS.invoke(block: LS.() -> R): R = run(block) + diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/LupDecomposition.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/LupDecomposition.kt index a3d4cbc47..eed50ec28 100644 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/LupDecomposition.kt +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/LupDecomposition.kt @@ -3,16 +3,16 @@ package space.kscience.kmath.linear import space.kscience.kmath.misc.UnstableKMathAPI import space.kscience.kmath.nd.getFeature import space.kscience.kmath.operations.* -import space.kscience.kmath.structures.Buffer import space.kscience.kmath.structures.BufferAccessor2D import space.kscience.kmath.structures.MutableBuffer import space.kscience.kmath.structures.MutableBufferFactory +import space.kscience.kmath.structures.RealBuffer /** * Common implementation of [LupDecompositionFeature]. */ public class LupDecomposition( - public val context: MatrixContext>, + public val context: LinearSpace, public val elementContext: Field, public val lu: Matrix, public val pivot: IntArray, @@ -62,15 +62,14 @@ public class LupDecomposition( } @PublishedApi -internal fun , F : Field> GenericMatrixContext.abs(value: T): T = - if (value > elementContext.zero) value else elementContext { -value } +internal fun > LinearSpace>.abs(value: T): T = + if (value > elementAlgebra.zero) value else elementAlgebra { -value } /** * Create a lup decomposition of generic matrix. */ -public fun > MatrixContext>.lup( +public fun > LinearSpace>.lup( factory: MutableBufferFactory, - elementContext: Field, matrix: Matrix, checkSingular: (T) -> Boolean, ): LupDecomposition { @@ -80,7 +79,7 @@ public fun > MatrixContext>.lup( //TODO just waits for KEEP-176 BufferAccessor2D(matrix.rowNum, matrix.colNum, factory).run { - elementContext { + elementAlgebra { val lu = create(matrix) // Initialize permutation array and parity @@ -142,18 +141,18 @@ public fun > MatrixContext>.lup( for (row in col + 1 until m) lu[row, col] /= luDiag } - return LupDecomposition(this@lup, elementContext, lu.collect(), pivot, even) + return LupDecomposition(this@lup, elementAlgebra, lu.collect(), pivot, even) } } } -public inline fun , F : Field> GenericMatrixContext>.lup( +public inline fun > LinearSpace>.lup( matrix: Matrix, noinline checkSingular: (T) -> Boolean, -): LupDecomposition = lup(MutableBuffer.Companion::auto, elementContext, matrix, checkSingular) +): LupDecomposition = lup(MutableBuffer.Companion::auto, matrix, checkSingular) -public fun MatrixContext>.lup(matrix: Matrix): LupDecomposition = - lup(Buffer.Companion::real, RealField, matrix) { it < 1e-11 } +public fun LinearSpace.lup(matrix: Matrix): LupDecomposition = + lup(::RealBuffer, matrix) { it < 1e-11 } public fun LupDecomposition.solveWithLup( factory: MutableBufferFactory, @@ -198,7 +197,7 @@ public fun LupDecomposition.solveWithLup( } } - return context.produce(pivot.size, matrix.colNum) { i, j -> bp[i, j] } + return context.buildMatrix(pivot.size, matrix.colNum) { i, j -> bp[i, j] } } } } @@ -210,18 +209,18 @@ public inline fun LupDecomposition.solveWithLup(matrix: Mat * Solves a system of linear equations *ax = b** using LUP decomposition. */ @OptIn(UnstableKMathAPI::class) -public inline fun , F : Field> GenericMatrixContext>.solveWithLup( +public inline fun > LinearSpace>.solveWithLup( a: Matrix, b: Matrix, noinline bufferFactory: MutableBufferFactory = MutableBuffer.Companion::auto, noinline checkSingular: (T) -> Boolean, ): Matrix { // Use existing decomposition if it is provided by matrix - val decomposition = a.getFeature() ?: lup(bufferFactory, elementContext, a, checkSingular) + val decomposition = a.getFeature() ?: lup(bufferFactory, a, checkSingular) return decomposition.solveWithLup(bufferFactory, b) } -public inline fun , F : Field> GenericMatrixContext>.inverseWithLup( +public inline fun > LinearSpace>.inverseWithLup( matrix: Matrix, noinline bufferFactory: MutableBufferFactory = MutableBuffer.Companion::auto, noinline checkSingular: (T) -> Boolean, @@ -229,15 +228,15 @@ public inline fun , F : Field> GenericMatrixContext @OptIn(UnstableKMathAPI::class) -public fun RealMatrixContext.solveWithLup(a: Matrix, b: Matrix): Matrix { +public fun LinearSpace.solveWithLup(a: Matrix, b: Matrix): Matrix { // Use existing decomposition if it is provided by matrix - val bufferFactory: MutableBufferFactory = MutableBuffer.Companion::real - val decomposition: LupDecomposition = a.getFeature() ?: lup(bufferFactory, RealField, a) { it < 1e-11 } + val bufferFactory: MutableBufferFactory = ::RealBuffer + val decomposition: LupDecomposition = a.getFeature() ?: lup(bufferFactory, a) { it < 1e-11 } return decomposition.solveWithLup(bufferFactory, b) } /** * Inverses a square matrix using LUP decomposition. Non square matrix will throw a error. */ -public fun RealMatrixContext.inverseWithLup(matrix: Matrix): Matrix = +public fun LinearSpace.inverseWithLup(matrix: Matrix): Matrix = solveWithLup(matrix, one(matrix.rowNum, matrix.colNum)) \ No newline at end of file diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/MatrixBuilder.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/MatrixBuilder.kt index c96834360..b30d621fe 100644 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/MatrixBuilder.kt +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/MatrixBuilder.kt @@ -1,46 +1,43 @@ package space.kscience.kmath.linear -import space.kscience.kmath.nd.Structure2D -import space.kscience.kmath.structures.Buffer -import space.kscience.kmath.structures.BufferFactory -import space.kscience.kmath.structures.asBuffer +import space.kscience.kmath.misc.UnstableKMathAPI +import space.kscience.kmath.operations.Ring -public class MatrixBuilder(public val rows: Int, public val columns: Int) { - public operator fun invoke(vararg elements: T): Matrix { +public class MatrixBuilder>( + public val linearSpace: LinearSpace, + public val rows: Int, + public val columns: Int, +) { + public operator fun invoke(vararg elements: T): Matrix { require(rows * columns == elements.size) { "The number of elements ${elements.size} is not equal $rows * $columns" } - val buffer = elements.asBuffer() - return BufferMatrix(rows, columns, buffer) + return linearSpace.buildMatrix(rows, columns) { i, j -> elements[i * columns + j] } } //TODO add specific matrix builder functions like diagonal, etc } -public fun Structure2D.Companion.build(rows: Int, columns: Int): MatrixBuilder = MatrixBuilder(rows, columns) +/** + * Create a matrix builder with given number of rows and columns + */ +@UnstableKMathAPI +public fun > LinearSpace.matrix(rows: Int, columns: Int): MatrixBuilder = + MatrixBuilder(this, rows, columns) -public fun Structure2D.Companion.row(vararg values: T): Matrix { - val buffer = values.asBuffer() - return BufferMatrix(1, values.size, buffer) +@UnstableKMathAPI +public fun LinearSpace>.vector(vararg elements: T): Point { + return buildVector(elements.size) { elements[it] } } -public inline fun Structure2D.Companion.row( +public inline fun LinearSpace>.row( size: Int, - factory: BufferFactory = Buffer.Companion::auto, - noinline builder: (Int) -> T, -): Matrix { - val buffer = factory(size, builder) - return BufferMatrix(1, size, buffer) -} + crossinline builder: (Int) -> T, +): Matrix = buildMatrix(1, size) { _, j -> builder(j) } -public fun Structure2D.Companion.column(vararg values: T): Matrix { - val buffer = values.asBuffer() - return BufferMatrix(values.size, 1, buffer) -} +public fun LinearSpace>.row(vararg values: T): Matrix = row(values.size, values::get) -public inline fun Structure2D.Companion.column( +public inline fun LinearSpace>.column( size: Int, - factory: BufferFactory = Buffer.Companion::auto, - noinline builder: (Int) -> T, -): Matrix { - val buffer = factory(size, builder) - return BufferMatrix(size, 1, buffer) -} + crossinline builder: (Int) -> T, +): Matrix = buildMatrix(size, 1) { i, _ -> builder(i) } + +public fun LinearSpace>.column(vararg values: T): Matrix = column(values.size, values::get) \ No newline at end of file diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/MatrixContext.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/MatrixContext.kt deleted file mode 100644 index 6afec94e8..000000000 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/MatrixContext.kt +++ /dev/null @@ -1,173 +0,0 @@ -package space.kscience.kmath.linear - -import space.kscience.kmath.misc.UnstableKMathAPI -import space.kscience.kmath.operations.* -import space.kscience.kmath.structures.Buffer -import space.kscience.kmath.structures.BufferFactory -import space.kscience.kmath.structures.asSequence -import kotlin.reflect.KClass - -/** - * Basic operations on matrices. Operates on [Matrix]. - * - * @param T the type of items in the matrices. - * @param M the type of operated matrices. - */ -public interface MatrixContext> : GroupOperations>, ScaleOperations> { - /** - * Produces a matrix with this context and given dimensions. - */ - public fun produce(rows: Int, columns: Int, initializer: (i: Int, j: Int) -> T): M - - /** - * Produces a point compatible with matrix space (and possibly optimized for it). - */ - public fun point(size: Int, initializer: (Int) -> T): Point = Buffer.boxing(size, initializer) - - @Suppress("UNCHECKED_CAST") - public override fun binaryOperationFunction(operation: String): (left: Matrix, right: Matrix) -> M = - when (operation) { - "dot" -> { left, right -> left dot right } - else -> super.binaryOperationFunction(operation) as (Matrix, Matrix) -> M - } - - /** - * Computes the dot product of this matrix and another one. - * - * @receiver the multiplicand. - * @param other the multiplier. - * @return the dot product. - */ - public infix fun Matrix.dot(other: Matrix): M - - /** - * Computes the dot product of this matrix and a vector. - * - * @receiver the multiplicand. - * @param vector the multiplier. - * @return the dot product. - */ - public infix fun Matrix.dot(vector: Point): Point - - /** - * Multiplies a matrix by its element. - * - * @receiver the multiplicand. - * @param value the multiplier. - * @receiver the product. - */ - public operator fun Matrix.times(value: T): M - - /** - * Multiplies an element by a matrix of it. - * - * @receiver the multiplicand. - * @param m the multiplier. - * @receiver the product. - */ - public operator fun T.times(m: Matrix): M = m * this - - /** - * Gets a feature from the matrix. This function may return some additional features to - * [kscience.kmath.nd.NDStructure.getFeature]. - * - * @param F the type of feature. - * @param m the matrix. - * @param type the [KClass] instance of [F]. - * @return a feature object or `null` if it isn't present. - */ - @UnstableKMathAPI - public fun getFeature(m: Matrix, type: KClass): F? = m.getFeature(type) - - public companion object { - - /** - * A structured matrix with custom buffer - */ - public fun buffered( - ring: A, - bufferFactory: BufferFactory = Buffer.Companion::boxing, - ): GenericMatrixContext> where A : Ring, A: ScaleOperations = BufferMatrixContext(ring, bufferFactory) - - /** - * Automatic buffered matrix, unboxed if it is possible - */ - public inline fun auto(ring: A): GenericMatrixContext> where A : Ring, A: ScaleOperations = - buffered(ring, Buffer.Companion::auto) - } -} - -/** - * Gets a feature from the matrix. This function may return some additional features to - * [kscience.kmath.nd.NDStructure.getFeature]. - * - * @param T the type of items in the matrices. - * @param M the type of operated matrices. - * @param F the type of feature. - * @receiver the [MatrixContext] of [T]. - * @param m the matrix. - * @return a feature object or `null` if it isn't present. - */ -@UnstableKMathAPI -public inline fun MatrixContext.getFeature(m: Matrix): F? = - getFeature(m, F::class) - -/** - * Partial implementation of [MatrixContext] for matrices of [Ring]. - * - * @param T the type of items in the matrices. - * @param A the type of ring of matrix elements. - * @param M the type of operated matrices. - */ -public interface GenericMatrixContext> : MatrixContext where A : Ring, A : ScaleOperations{ - /** - * The ring over matrix elements. - */ - public val elementContext: A - - public override infix fun Matrix.dot(other: Matrix): M { - //TODO add typed error - require(colNum == other.rowNum) { "Matrix dot operation dimension mismatch: ($rowNum, $colNum) x (${other.rowNum}, ${other.colNum})" } - - return produce(rowNum, other.colNum) { i, j -> - val row = rows[i] - val column = other.columns[j] - elementContext { sum(row.asSequence().zip(column.asSequence(), ::multiply)) } - } - } - - public override infix fun Matrix.dot(vector: Point): Point { - //TODO add typed error - require(colNum == vector.size) { "Matrix dot vector operation dimension mismatch: ($rowNum, $colNum) x (${vector.size})" } - - return point(rowNum) { i -> - val row = rows[i] - elementContext { sum(row.asSequence().zip(vector.asSequence(), ::multiply)) } - } - } - - public override operator fun Matrix.unaryMinus(): M = - produce(rowNum, colNum) { i, j -> elementContext { -get(i, j) } } - - public override fun add(a: Matrix, b: Matrix): M { - require(a.rowNum == b.rowNum && a.colNum == b.colNum) { - "Matrix operation dimension mismatch. [${a.rowNum},${a.colNum}] + [${b.rowNum},${b.colNum}]" - } - - return produce(a.rowNum, a.colNum) { i, j -> elementContext { a[i, j] + b[i, j] } } - } - - public override operator fun Matrix.minus(b: Matrix): M { - require(rowNum == b.rowNum && colNum == b.colNum) { - "Matrix operation dimension mismatch. [$rowNum,$colNum] - [${b.rowNum},${b.colNum}]" - } - - return produce(rowNum, colNum) { i, j -> elementContext { get(i, j) + b[i, j] } } - } -// -// public override fun multiply(a: Matrix, k: Number): M = -// produce(a.rowNum, a.colNum) { i, j -> elementContext { a[i, j] * k } } - - public override operator fun Matrix.times(value: T): M = - produce(rowNum, colNum) { i, j -> elementContext { get(i, j) * value } } -} diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/MatrixWrapper.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/MatrixWrapper.kt index 69e4a916f..97f0acd61 100644 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/MatrixWrapper.kt +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/MatrixWrapper.kt @@ -1,14 +1,9 @@ package space.kscience.kmath.linear import space.kscience.kmath.misc.UnstableKMathAPI -import space.kscience.kmath.nd.Structure2D import space.kscience.kmath.nd.getFeature import space.kscience.kmath.operations.Ring -import space.kscience.kmath.operations.ScaleOperations -import space.kscience.kmath.structures.asBuffer -import kotlin.math.sqrt import kotlin.reflect.KClass -import kotlin.reflect.safeCast /** * A [Matrix] that holds [MatrixFeature] objects. @@ -24,7 +19,8 @@ public class MatrixWrapper internal constructor( * Get the first feature matching given class. Does not guarantee that matrix has only one feature matching the criteria */ @UnstableKMathAPI - override fun getFeature(type: KClass): T? = type.safeCast(features.find { type.isInstance(it) }) + @Suppress("UNCHECKED_CAST") + override fun getFeature(type: KClass): T? = features.singleOrNull { type.isInstance(it) } as? T ?: origin.getFeature(type) override fun equals(other: Any?): Boolean = origin == other @@ -61,35 +57,25 @@ public operator fun Matrix.plus(newFeatures: Collection Structure2D.Companion.square(vararg elements: T): Matrix { - val size: Int = sqrt(elements.size.toDouble()).toInt() - require(size * size == elements.size) { "The number of elements ${elements.size} is not a full square" } - val buffer = elements.asBuffer() - return BufferMatrix(size, size, buffer) -} - /** * Diagonal matrix of ones. The matrix is virtual no actual matrix is created */ -public fun GenericMatrixContext.one( +public fun LinearSpace>.one( rows: Int, columns: Int, -): Matrix where A : Ring, A : ScaleOperations = VirtualMatrix(rows, columns) { i, j -> - if (i == j) elementContext.one else elementContext.zero +): Matrix = VirtualMatrix(rows, columns) { i, j -> + if (i == j) elementAlgebra.one else elementAlgebra.zero } + UnitFeature /** * A virtual matrix of zeroes */ -public fun GenericMatrixContext.zero( +public fun LinearSpace>.zero( rows: Int, columns: Int, -): Matrix where A : Ring, A : ScaleOperations = VirtualMatrix(rows, columns) { _, _ -> - elementContext.zero +): Matrix = VirtualMatrix(rows, columns) { _, _ -> + elementAlgebra.zero } + ZeroFeature public class TransposedFeature(public val original: Matrix) : MatrixFeature diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/RealMatrixContext.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/RealMatrixContext.kt deleted file mode 100644 index dbccb7536..000000000 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/RealMatrixContext.kt +++ /dev/null @@ -1,85 +0,0 @@ -package space.kscience.kmath.linear - -import space.kscience.kmath.operations.ScaleOperations -import space.kscience.kmath.structures.RealBuffer - -public object RealMatrixContext : MatrixContext>, ScaleOperations> { - - public override fun produce( - rows: Int, - columns: Int, - initializer: (i: Int, j: Int) -> Double, - ): BufferMatrix { - val buffer = RealBuffer(rows * columns) { offset -> initializer(offset / columns, offset % columns) } - return BufferMatrix(rows, columns, buffer) - } - - public fun Matrix.toBufferMatrix(): BufferMatrix = if (this is BufferMatrix) this else { - produce(rowNum, colNum) { i, j -> get(i, j) } - } - - public fun one(rows: Int, columns: Int): Matrix = VirtualMatrix(rows, columns) { i, j -> - if (i == j) 1.0 else 0.0 - } + DiagonalFeature - - override fun Matrix.unaryMinus(): Matrix = produce(rowNum, colNum) { i, j -> -get(i, j) } - - public override infix fun Matrix.dot(other: Matrix): BufferMatrix { - require(colNum == other.rowNum) { "Matrix dot operation dimension mismatch: ($rowNum, $colNum) x (${other.rowNum}, ${other.colNum})" } - val bufferMatrix = toBufferMatrix() - val otherBufferMatrix = other.toBufferMatrix() - return produce(rowNum, other.colNum) { i, j -> - var res = 0.0 - for (l in 0 until colNum) { - res += bufferMatrix[i, l] * otherBufferMatrix[l, j] - } - res - } - } - - public override infix fun Matrix.dot(vector: Point): Point { - require(colNum == vector.size) { "Matrix dot vector operation dimension mismatch: ($rowNum, $colNum) x (${vector.size})" } - val bufferMatrix = toBufferMatrix() - return RealBuffer(rowNum) { i -> - var res = 0.0 - for (j in 0 until colNum) { - res += bufferMatrix[i, j] * vector[j] - } - res - } - } - - override fun add(a: Matrix, b: Matrix): BufferMatrix { - require(a.rowNum == b.rowNum) { "Row number mismatch in matrix addition. Left side: ${a.rowNum}, right side: ${b.rowNum}" } - require(a.colNum == b.colNum) { "Column number mismatch in matrix addition. Left side: ${a.colNum}, right side: ${b.colNum}" } - val aBufferMatrix = a.toBufferMatrix() - val bBufferMatrix = b.toBufferMatrix() - return produce(a.rowNum, a.colNum) { i, j -> - aBufferMatrix[i, j] + bBufferMatrix[i, j] - } - } - - override fun scale(a: Matrix, value: Double): BufferMatrix { - val bufferMatrix = a.toBufferMatrix() - return produce(a.rowNum, a.colNum) { i, j -> bufferMatrix[i, j] * value } - } - - override fun Matrix.times(value: Double): BufferMatrix = scale(this, value) - -// -// override fun multiply(a: Matrix, k: Number): BufferMatrix { -// val aBufferMatrix = a.toBufferMatrix() -// return produce(a.rowNum, a.colNum) { i, j -> aBufferMatrix[i, j] * k.toDouble() } -// } -// -// override fun divide(a: Matrix, k: Number): BufferMatrix { -// val aBufferMatrix = a.toBufferMatrix() -// return produce(a.rowNum, a.colNum) { i, j -> aBufferMatrix[i, j] / k.toDouble() } -// } -} - - -/** - * Partially optimized real-valued matrix - */ -public val MatrixContext.Companion.real: RealMatrixContext get() = RealMatrixContext diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/VectorSpace.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/VectorSpace.kt deleted file mode 100644 index cfacf6826..000000000 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/VectorSpace.kt +++ /dev/null @@ -1,72 +0,0 @@ -package space.kscience.kmath.linear - -import space.kscience.kmath.operations.Group -import space.kscience.kmath.operations.RealField -import space.kscience.kmath.operations.ScaleOperations -import space.kscience.kmath.operations.invoke -import space.kscience.kmath.structures.Buffer -import space.kscience.kmath.structures.BufferFactory - -/** - * A linear space for vectors. - * Could be used on any point-like structure - */ -public interface VectorSpace : Group>, ScaleOperations> - where A : Group, A : ScaleOperations { - public val size: Int - public val algebra: A - override val zero: Point get() = produce { algebra.zero } - - public fun produce(initializer: A.(Int) -> T): Point - - override fun add(a: Point, b: Point): Point = produce { algebra { a[it] + b[it] } } - - override fun scale(a: Point, value: Double): Point = produce { algebra.scale(a[it], value) } - - override fun Point.unaryMinus(): Point = produce { -get(it) } - - //TODO add basis - - public companion object { - private val realSpaceCache: MutableMap> = hashMapOf() - - /** - * Non-boxing double vector space - */ - public fun real(size: Int): BufferVectorSpace = realSpaceCache.getOrPut(size) { - BufferVectorSpace( - size, - RealField, - Buffer.Companion::auto - ) - } - - /** - * A structured vector space with custom buffer - */ - public fun buffered( - size: Int, - space: A, - bufferFactory: BufferFactory = Buffer.Companion::boxing, - ): BufferVectorSpace where A : Group, A : ScaleOperations = - BufferVectorSpace(size, space, bufferFactory) - - /** - * Automatic buffered vector, unboxed if it is possible - */ - public inline fun auto( - size: Int, - space: A, - ): VectorSpace where A : Group, A : ScaleOperations = - buffered(size, space, Buffer.Companion::auto) - } -} - - -public class BufferVectorSpace( - override val size: Int, - override val algebra: A, - public val bufferFactory: BufferFactory, -) : VectorSpace where A : Group, A : ScaleOperations { - override fun produce(initializer: A.(Int) -> T): Buffer = bufferFactory(size) { algebra.initializer(it) } -} diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/VirtualMatrix.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/VirtualMatrix.kt index 26b1899a1..8efa08f81 100644 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/VirtualMatrix.kt +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/VirtualMatrix.kt @@ -1,5 +1,7 @@ package space.kscience.kmath.linear +import space.kscience.kmath.nd.NDStructure + /** * The matrix where each element is evaluated each time when is being accessed. * @@ -8,7 +10,7 @@ package space.kscience.kmath.linear public class VirtualMatrix( override val rowNum: Int, override val colNum: Int, - public val generator: (i: Int, j: Int) -> T + public val generator: (i: Int, j: Int) -> T, ) : Matrix { override val shape: IntArray get() = intArrayOf(rowNum, colNum) @@ -17,12 +19,8 @@ public class VirtualMatrix( override fun equals(other: Any?): Boolean { if (this === other) return true - if (other !is Matrix<*>) return false - - if (rowNum != other.rowNum) return false - if (colNum != other.colNum) return false - - return elements().all { (index, value) -> value == other[index] } + if (other !is NDStructure<*>) return false + return NDStructure.contentEquals(this, other) } override fun hashCode(): Int { @@ -31,6 +29,4 @@ public class VirtualMatrix( result = 31 * result + generator.hashCode() return result } - - } diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferNDAlgebra.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferNDAlgebra.kt index 58d1ea7b1..bce3a0830 100644 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferNDAlgebra.kt +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferNDAlgebra.kt @@ -79,20 +79,20 @@ public open class BufferedNDField>( override fun scale(a: NDStructure, value: Double): NDStructure = a.map { it * value } } -// space factories -public fun > NDAlgebra.Companion.space( +// group factories +public fun > NDAlgebra.Companion.group( space: A, bufferFactory: BufferFactory, vararg shape: Int, ): BufferedNDGroup = BufferedNDGroup(shape, space, bufferFactory) -public inline fun , R> A.ndSpace( +public inline fun , R> A.ndGroup( noinline bufferFactory: BufferFactory, vararg shape: Int, action: BufferedNDGroup.() -> R, ): R { contract { callsInPlace(action, InvocationKind.EXACTLY_ONCE) } - return NDAlgebra.space(this, bufferFactory, *shape).run(action) + return NDAlgebra.group(this, bufferFactory, *shape).run(action) } //ring factories diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/NDAlgebra.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/NDAlgebra.kt index e3ffae74b..5514a8f0f 100644 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/NDAlgebra.kt +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/NDAlgebra.kt @@ -1,7 +1,9 @@ package space.kscience.kmath.nd +import space.kscience.kmath.misc.UnstableKMathAPI import space.kscience.kmath.operations.* import space.kscience.kmath.structures.* +import kotlin.reflect.KClass /** * An exception is thrown when the expected ans actual shape of NDArray differs. @@ -19,7 +21,7 @@ public class ShapeMismatchException(public val expected: IntArray, public val ac * @param C the type of the element context. * @param N the type of the structure. */ -public interface NDAlgebra> { +public interface NDAlgebra> { /** * The shape of ND-structures this algebra operates on. */ @@ -56,20 +58,44 @@ public interface NDAlgebra> { public operator fun Function1.invoke(structure: NDStructure): NDStructure = structure.map { value -> this@invoke(value) } + /** + * Get a feature of the structure in this scope. Structure features take precedence other context features + * + * @param F the type of feature. + * @param structure the structure. + * @param type the [KClass] instance of [F]. + * @return a feature object or `null` if it isn't present. + */ + @UnstableKMathAPI + public fun getFeature(structure: NDStructure, type: KClass): F? = structure.getFeature(type) + public companion object } + +/** + * Get a feature of the structure in this scope. Structure features take precedence other context features + * + * @param T the type of items in the matrices. + * @param F the type of feature. + * @return a feature object or `null` if it isn't present. + */ +@UnstableKMathAPI +public inline fun NDAlgebra.getFeature(structure: NDStructure): F? = + getFeature(structure, F::class) + /** * Checks if given elements are consistent with this context. * * @param structures the structures to check. * @return the array of valid structures. */ -internal fun > NDAlgebra.checkShape(vararg structures: NDStructure): Array> = structures - .map(NDStructure::shape) - .singleOrNull { !shape.contentEquals(it) } - ?.let>> { throw ShapeMismatchException(shape, it) } - ?: structures +internal fun > NDAlgebra.checkShape(vararg structures: NDStructure): Array> = + structures + .map(NDStructure::shape) + .singleOrNull { !shape.contentEquals(it) } + ?.let>> { throw ShapeMismatchException(shape, it) } + ?: structures /** * Checks if given element is consistent with this context. @@ -77,7 +103,7 @@ internal fun > NDAlgebra.checkShape(vararg structures: ND * @param element the structure to check. * @return the valid structure. */ -internal fun > NDAlgebra.checkShape(element: NDStructure): NDStructure { +internal fun > NDAlgebra.checkShape(element: NDStructure): NDStructure { if (!element.shape.contentEquals(shape)) throw ShapeMismatchException(shape, element.shape) return element } diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/NDStructure.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/NDStructure.kt index 137772632..d758f195d 100644 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/NDStructure.kt +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/NDStructure.kt @@ -48,11 +48,11 @@ public interface NDStructure { public override fun hashCode(): Int /** - * Feature is additional property or hint that does not directly affect the structure, but could in some cases help - * optimize operations and performance. If the feature is not present, null is defined. + * Feature is some additional strucure information which allows to access it special properties or hints. + * If the feature is not present, null is returned. */ @UnstableKMathAPI - public fun getFeature(type: KClass): T? = null + public fun getFeature(type: KClass): F? = null public companion object { /** @@ -74,7 +74,7 @@ public interface NDStructure { * * Strides should be reused if possible. */ - public fun build( + public fun buffered( strides: Strides, bufferFactory: BufferFactory = Buffer.Companion::boxing, initializer: (IntArray) -> T, @@ -94,11 +94,11 @@ public interface NDStructure { crossinline initializer: (IntArray) -> T, ): NDBuffer = NDBuffer(strides, Buffer.auto(type, strides.linearSize) { i -> initializer(strides.index(i)) }) - public fun build( + public fun buffered( shape: IntArray, bufferFactory: BufferFactory = Buffer.Companion::boxing, initializer: (IntArray) -> T, - ): NDBuffer = build(DefaultStrides(shape), bufferFactory, initializer) + ): NDBuffer = buffered(DefaultStrides(shape), bufferFactory, initializer) public inline fun auto( shape: IntArray, diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/RealNDField.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/RealNDField.kt index 2165aea22..9f1f14af1 100644 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/RealNDField.kt +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/RealNDField.kt @@ -5,7 +5,6 @@ import space.kscience.kmath.operations.ExtendedField import space.kscience.kmath.operations.NumbersAddOperations import space.kscience.kmath.operations.RealField import space.kscience.kmath.operations.ScaleOperations -import space.kscience.kmath.structures.Buffer import space.kscience.kmath.structures.RealBuffer import kotlin.contracts.InvocationKind import kotlin.contracts.contract @@ -13,7 +12,7 @@ import kotlin.contracts.contract @OptIn(UnstableKMathAPI::class) public class RealNDField( shape: IntArray, -) : BufferedNDField(shape, RealField, Buffer.Companion::real), +) : BufferedNDField(shape, RealField, ::RealBuffer), NumbersAddOperations>, ScaleOperations>, ExtendedField> { diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/Structure1D.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/Structure1D.kt index e83485ff0..ac8714803 100644 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/Structure1D.kt +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/Structure1D.kt @@ -45,12 +45,23 @@ private inline class Buffer1DWrapper(val buffer: Buffer) : Structure1D /** * Represent a [NDStructure] as [Structure1D]. Throw error in case of dimension mismatch */ -public fun NDStructure.as1D(): Structure1D = if (shape.size == 1) { - if (this is NDBuffer) Buffer1DWrapper(this.buffer) else Structure1DWrapper(this) -} else - error("Can't create 1d-structure from ${shape.size}d-structure") +public fun NDStructure.as1D(): Structure1D = this as? Structure1D ?: if (shape.size == 1) { + when (this) { + is NDBuffer -> Buffer1DWrapper(this.buffer) + else -> Structure1DWrapper(this) + } +} else error("Can't create 1d-structure from ${shape.size}d-structure") /** * Represent this buffer as 1D structure */ public fun Buffer.asND(): Structure1D = Buffer1DWrapper(this) + +/** + * Expose inner buffer of this [Structure1D] if possible + */ +internal fun Structure1D.unwrap(): Buffer = when { + this is Buffer1DWrapper -> buffer + this is Structure1DWrapper && structure is NDBuffer -> structure.buffer + else -> this +} diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/Structure2D.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/Structure2D.kt index fcc8c0d7e..60dedc933 100644 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/Structure2D.kt +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/Structure2D.kt @@ -1,9 +1,9 @@ package space.kscience.kmath.nd -import space.kscience.kmath.linear.BufferMatrix -import space.kscience.kmath.linear.RealMatrixContext +import space.kscience.kmath.misc.UnstableKMathAPI import space.kscience.kmath.structures.Buffer import space.kscience.kmath.structures.VirtualBuffer +import kotlin.reflect.KClass /** * A structure that is guaranteed to be two-dimensional. @@ -26,14 +26,14 @@ public interface Structure2D : NDStructure { /** * The buffer of rows of this structure. It gets elements from the structure dynamically. */ - public val rows: Buffer> - get() = VirtualBuffer(rowNum) { i -> VirtualBuffer(colNum) { j -> get(i, j) } } + public val rows: List> + get() = List(rowNum) { i -> VirtualBuffer(colNum) { j -> get(i, j) } } /** * The buffer of columns of this structure. It gets elements from the structure dynamically. */ - public val columns: Buffer> - get() = VirtualBuffer(colNum) { j -> VirtualBuffer(rowNum) { i -> get(i, j) } } + public val columns: List> + get() = List(colNum) { j -> VirtualBuffer(rowNum) { i -> get(i, j) } } /** * Retrieves an element from the structure by two indices. @@ -54,21 +54,13 @@ public interface Structure2D : NDStructure { for (j in 0 until colNum) yield(intArrayOf(i, j) to get(i, j)) } - public companion object { - public inline fun real( - rows: Int, - columns: Int, - crossinline init: (i: Int, j: Int) -> Double, - ): BufferMatrix = RealMatrixContext.produce(rows,columns) { i, j -> - init(i, j) - } - } + public companion object } /** * A 2D wrapper for nd-structure */ -private inline class Structure2DWrapper(val structure: NDStructure) : Structure2D { +private class Structure2DWrapper(val structure: NDStructure) : Structure2D { override val shape: IntArray get() = structure.shape override val rowNum: Int get() = shape[0] @@ -76,20 +68,27 @@ private inline class Structure2DWrapper(val structure: NDStructure) : Stru override operator fun get(i: Int, j: Int): T = structure[i, j] + @UnstableKMathAPI + override fun getFeature(type: KClass): F? = structure.getFeature(type) + override fun elements(): Sequence> = structure.elements() + + override fun equals(other: Any?): Boolean = structure == other + + override fun hashCode(): Int = structure.hashCode() } /** * Represent a [NDStructure] as [Structure1D]. Throw error in case of dimension mismatch */ -public fun NDStructure.as2D(): Structure2D = if (shape.size == 2) - Structure2DWrapper(this) -else - error("Can't create 2d-structure from ${shape.size}d-structure") +public fun NDStructure.as2D(): Structure2D = this as? Structure2D ?: when (shape.size) { + 2 -> Structure2DWrapper(this) + else -> error("Can't create 2d-structure from ${shape.size}d-structure") +} /** - * Alias for [Structure2D] with more familiar name. - * - * @param T the type of items in the matrix. + * Expose inner [NDStructure] if possible */ -public typealias Matrix = Structure2D +internal fun Structure2D.unwrap(): NDStructure = + if (this is Structure2DWrapper) structure + else this \ No newline at end of file diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/AlgebraElements.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/AlgebraElements.kt index 3e42ac094..b2b5911df 100644 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/AlgebraElements.kt +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/AlgebraElements.kt @@ -41,7 +41,7 @@ public interface AlgebraElement> { */ @UnstableKMathAPI public operator fun , S : NumbersAddOperations> T.minus(b: T): T = - context.add(this, context.run { -b}) + context.add(this, context.run { -b }) /** * Adds element to this one. diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/algebraExtensions.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/algebraExtensions.kt index 52a0dec6f..9a395b0f4 100644 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/algebraExtensions.kt +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/algebraExtensions.kt @@ -71,7 +71,7 @@ public fun Sequence.sumWith(space: Group): T = space.sum(this) * @return the average value. * @author Iaroslav Postovalov */ -public fun Iterable.averageWith(space: S): T where S : Group, S : ScaleOperations = +public fun Iterable.averageWith(space: S): T where S : Group, S : ScaleOperations = space.average(this) /** @@ -82,7 +82,7 @@ public fun Iterable.averageWith(space: S): T where S : Group, S : * @return the average value. * @author Iaroslav Postovalov */ -public fun Sequence.averageWith(space: S): T where S : Group, S : ScaleOperations = +public fun Sequence.averageWith(space: S): T where S : Group, S : ScaleOperations = space.average(this) //TODO optimized power operation diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/Buffer.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/Buffer.kt index 2fccd2eeb..1d40a2f2e 100644 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/Buffer.kt +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/Buffer.kt @@ -44,21 +44,12 @@ public interface Buffer { asSequence().mapIndexed { index, value -> value == other[index] }.all { it } public companion object { - /** - * Creates a [RealBuffer] with the specified [size], where each element is calculated by calling the specified - * [initializer] function. - */ - public inline fun real(size: Int, initializer: (Int) -> Double): RealBuffer = - RealBuffer(size) { initializer(it) } - /** * Creates a [ListBuffer] of given type [T] with given [size]. Each element is calculated by calling the * specified [initializer] function. */ public inline fun boxing(size: Int, initializer: (Int) -> T): Buffer = - ListBuffer(List(size, initializer)) - - // TODO add resolution based on Annotation or companion resolution + List(size, initializer).asBuffer() /** * Creates a [Buffer] of given [type]. If the type is primitive, specialized buffers are used ([IntBuffer], @@ -69,11 +60,11 @@ public interface Buffer { @Suppress("UNCHECKED_CAST") public inline fun auto(type: KClass, size: Int, initializer: (Int) -> T): Buffer = when (type) { - Double::class -> RealBuffer(size) { initializer(it) as Double } as Buffer - Short::class -> ShortBuffer(size) { initializer(it) as Short } as Buffer - Int::class -> IntBuffer(size) { initializer(it) as Int } as Buffer - Long::class -> LongBuffer(size) { initializer(it) as Long } as Buffer - Float::class -> FloatBuffer(size) { initializer(it) as Float } as Buffer + Double::class -> MutableBuffer.real(size) { initializer(it) as Double } as Buffer + Short::class -> MutableBuffer.short(size) { initializer(it) as Short } as Buffer + Int::class -> MutableBuffer.int(size) { initializer(it) as Int } as Buffer + Long::class -> MutableBuffer.long(size) { initializer(it) as Long } as Buffer + Float::class -> MutableBuffer.float(size) { initializer(it) as Float } as Buffer else -> boxing(size, initializer) } @@ -89,21 +80,6 @@ public interface Buffer { } } -/** - * Creates a sequence that returns all elements from this [Buffer]. - */ -public fun Buffer.asSequence(): Sequence = Sequence(::iterator) - -/** - * Creates an iterable that returns all elements from this [Buffer]. - */ -public fun Buffer.asIterable(): Iterable = Iterable(::iterator) - -/** - * Converts this [Buffer] to a new [List] - */ -public fun Buffer.toList(): List = asSequence().toList() - /** * Returns an [IntRange] of the valid indices for this [Buffer]. */ @@ -126,6 +102,44 @@ public interface MutableBuffer : Buffer { public fun copy(): MutableBuffer public companion object { + + /** + * Creates a [RealBuffer] with the specified [size], where each element is calculated by calling the specified + * [initializer] function. + */ + public inline fun real(size: Int, initializer: (Int) -> Double): RealBuffer = + RealBuffer(size, initializer) + + /** + * Creates a [ShortBuffer] with the specified [size], where each element is calculated by calling the specified + * [initializer] function. + */ + public inline fun short(size: Int, initializer: (Int) -> Short): ShortBuffer = + ShortBuffer(size, initializer) + + /** + * Creates a [IntBuffer] with the specified [size], where each element is calculated by calling the specified + * [initializer] function. + */ + public inline fun int(size: Int, initializer: (Int) -> Int): IntBuffer = + IntBuffer(size, initializer) + + /** + * Creates a [LongBuffer] with the specified [size], where each element is calculated by calling the specified + * [initializer] function. + */ + public inline fun long(size: Int, initializer: (Int) -> Long): LongBuffer = + LongBuffer(size, initializer) + + + /** + * Creates a [FloatBuffer] with the specified [size], where each element is calculated by calling the specified + * [initializer] function. + */ + public inline fun float(size: Int, initializer: (Int) -> Float): FloatBuffer = + FloatBuffer(size, initializer) + + /** * Create a boxing mutable buffer of given type */ @@ -141,11 +155,11 @@ public interface MutableBuffer : Buffer { @Suppress("UNCHECKED_CAST") public inline fun auto(type: KClass, size: Int, initializer: (Int) -> T): MutableBuffer = when (type) { - Double::class -> RealBuffer(size) { initializer(it) as Double } as MutableBuffer - Short::class -> ShortBuffer(size) { initializer(it) as Short } as MutableBuffer - Int::class -> IntBuffer(size) { initializer(it) as Int } as MutableBuffer - Float::class -> FloatBuffer(size) { initializer(it) as Float } as MutableBuffer - Long::class -> LongBuffer(size) { initializer(it) as Long } as MutableBuffer + Double::class -> real(size) { initializer(it) as Double } as MutableBuffer + Short::class -> short(size) { initializer(it) as Short } as MutableBuffer + Int::class -> int(size) { initializer(it) as Int } as MutableBuffer + Float::class -> float(size) { initializer(it) as Float } as MutableBuffer + Long::class -> long(size) { initializer(it) as Long } as MutableBuffer else -> boxing(size, initializer) } @@ -158,13 +172,6 @@ public interface MutableBuffer : Buffer { @Suppress("UNCHECKED_CAST") public inline fun auto(size: Int, initializer: (Int) -> T): MutableBuffer = auto(T::class, size, initializer) - - /** - * Creates a [RealBuffer] with the specified [size], where each element is calculated by calling the specified - * [initializer] function. - */ - public inline fun real(size: Int, initializer: (Int) -> Double): RealBuffer = - RealBuffer(size) { initializer(it) } } } @@ -187,15 +194,6 @@ public inline class ListBuffer(public val list: List) : Buffer { */ public fun List.asBuffer(): ListBuffer = ListBuffer(this) -/** - * Creates a new [ListBuffer] with the specified [size], where each element is calculated by calling the specified - * [init] function. - * - * The function [init] is called for each array element sequentially starting from the first one. - * It should return the value for an array element given its index. - */ -public inline fun ListBuffer(size: Int, init: (Int) -> T): ListBuffer = List(size, init).asBuffer() - /** * [MutableBuffer] implementation over [MutableList]. * @@ -216,16 +214,20 @@ public inline class MutableListBuffer(public val list: MutableList) : Muta override fun copy(): MutableBuffer = MutableListBuffer(ArrayList(list)) } +/** + * Returns an [ListBuffer] that wraps the original list. + */ +public fun MutableList.asMutableBuffer(): MutableListBuffer = MutableListBuffer(this) + /** * [MutableBuffer] implementation over [Array]. * * @param T the type of elements contained in the buffer. * @property array The underlying array. */ -public class ArrayBuffer(private val array: Array) : MutableBuffer { +public class ArrayBuffer(internal val array: Array) : MutableBuffer { // Can't inline because array is invariant - override val size: Int - get() = array.size + override val size: Int get() = array.size override operator fun get(index: Int): T = array[index] @@ -243,16 +245,6 @@ public class ArrayBuffer(private val array: Array) : MutableBuffer { */ public fun Array.asBuffer(): ArrayBuffer = ArrayBuffer(this) -/** - * Creates a new [ArrayBuffer] with the specified [size], where each element is calculated by calling the specified - * [init] function. - * - * The function [init] is called for each array element sequentially starting from the first one. - * It should return the value for an array element given its index. - */ -public inline fun ArrayBuffer(size: Int, init: (Int) -> T): ArrayBuffer = - Array(size) { i -> init(i) }.asBuffer() - /** * Immutable wrapper for [MutableBuffer]. * @@ -293,14 +285,4 @@ public class VirtualBuffer(override val size: Int, private val generator: (In /** * Convert this buffer to read-only buffer. */ -public fun Buffer.asReadOnly(): Buffer = if (this is MutableBuffer) ReadOnlyBuffer(this) else this - -/** - * Typealias for buffer transformations. - */ -public typealias BufferTransform = (Buffer) -> Buffer - -/** - * Typealias for buffer transformations with suspend function. - */ -public typealias SuspendBufferTransform = suspend (Buffer) -> Buffer +public fun Buffer.asReadOnly(): Buffer = if (this is MutableBuffer) ReadOnlyBuffer(this) else this \ No newline at end of file diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/BufferAccessor2D.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/BufferAccessor2D.kt index fd440a344..c65af7a98 100644 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/BufferAccessor2D.kt +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/BufferAccessor2D.kt @@ -13,10 +13,10 @@ internal class BufferAccessor2D( public val colNum: Int, val factory: MutableBufferFactory, ) { - public operator fun Buffer.get(i: Int, j: Int): T = get(i + colNum * j) + public operator fun Buffer.get(i: Int, j: Int): T = get(i * colNum + j) public operator fun MutableBuffer.set(i: Int, j: Int, value: T) { - set(i + colNum * j, value) + set(i * colNum + j, value) } public inline fun create(crossinline init: (i: Int, j: Int) -> T): MutableBuffer = @@ -25,7 +25,7 @@ internal class BufferAccessor2D( public fun create(mat: Structure2D): MutableBuffer = create { i, j -> mat[i, j] } //TODO optimize wrapper - public fun MutableBuffer.collect(): Structure2D = NDStructure.build( + public fun MutableBuffer.collect(): Structure2D = NDStructure.buffered( DefaultStrides(intArrayOf(rowNum, colNum)), factory ) { (i, j) -> diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/FloatBuffer.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/FloatBuffer.kt index 3839be8e1..5c4ec3b05 100644 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/FloatBuffer.kt +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/FloatBuffer.kt @@ -36,10 +36,12 @@ public inline fun FloatBuffer(size: Int, init: (Int) -> Float): FloatBuffer = Fl public fun FloatBuffer(vararg floats: Float): FloatBuffer = FloatBuffer(floats) /** - * Returns a [FloatArray] containing all of the elements of this [MutableBuffer]. + * Returns a new [FloatArray] containing all of the elements of this [Buffer]. */ -public val MutableBuffer.array: FloatArray - get() = (if (this is FloatBuffer) array else FloatArray(size) { get(it) }) +public fun Buffer.toFloatArray(): FloatArray = when (this) { + is FloatBuffer -> array.copyOf() + else -> FloatArray(size, ::get) +} /** * Returns [FloatBuffer] over this array. diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/IntBuffer.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/IntBuffer.kt index df3289a3e..32dfcf9aa 100644 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/IntBuffer.kt +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/IntBuffer.kt @@ -35,10 +35,12 @@ public inline fun IntBuffer(size: Int, init: (Int) -> Int): IntBuffer = IntBuffe public fun IntBuffer(vararg ints: Int): IntBuffer = IntBuffer(ints) /** - * Returns a [IntArray] containing all of the elements of this [MutableBuffer]. + * Returns a new [IntArray] containing all of the elements of this [Buffer]. */ -public val MutableBuffer.array: IntArray - get() = (if (this is IntBuffer) array else IntArray(size) { get(it) }) +public fun Buffer.toIntArray(): IntArray = when (this) { + is IntBuffer -> array.copyOf() + else -> IntArray(size, ::get) +} /** * Returns [IntBuffer] over this array. diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/LongBuffer.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/LongBuffer.kt index d07d44799..48b1d7a7b 100644 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/LongBuffer.kt +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/LongBuffer.kt @@ -35,10 +35,12 @@ public inline fun LongBuffer(size: Int, init: (Int) -> Long): LongBuffer = LongB public fun LongBuffer(vararg longs: Long): LongBuffer = LongBuffer(longs) /** - * Returns a [IntArray] containing all of the elements of this [MutableBuffer]. + * Returns a new [LongArray] containing all of the elements of this [Buffer]. */ -public val MutableBuffer.array: LongArray - get() = (if (this is LongBuffer) array else LongArray(size) { get(it) }) +public fun Buffer.toLongArray(): LongArray = when (this) { + is LongBuffer -> array.copyOf() + else -> LongArray(size, ::get) +} /** * Returns [LongBuffer] over this array. diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/MemoryBuffer.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/MemoryBuffer.kt index 418adb537..50a2db590 100644 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/MemoryBuffer.kt +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/MemoryBuffer.kt @@ -24,7 +24,7 @@ public open class MemoryBuffer(protected val memory: Memory, protected public inline fun create( spec: MemorySpec, size: Int, - initializer: (Int) -> T + initializer: (Int) -> T, ): MemoryBuffer = MutableMemoryBuffer(Memory.allocate(size * spec.objectSize), spec).also { buffer -> (0 until size).forEach { buffer[it] = initializer(it) } } @@ -53,7 +53,7 @@ public class MutableMemoryBuffer(memory: Memory, spec: MemorySpec) : public inline fun create( spec: MemorySpec, size: Int, - initializer: (Int) -> T + initializer: (Int) -> T, ): MutableMemoryBuffer = MutableMemoryBuffer(Memory.allocate(size * spec.objectSize), spec).also { buffer -> (0 until size).forEach { buffer[it] = initializer(it) } } diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/RealBuffer.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/RealBuffer.kt index e53ed85c7..b56c03b76 100644 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/RealBuffer.kt +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/RealBuffer.kt @@ -40,10 +40,12 @@ public fun RealBuffer(vararg doubles: Double): RealBuffer = RealBuffer(doubles) public fun RealBuffer.contentEquals(vararg doubles: Double): Boolean = array.contentEquals(doubles) /** - * Returns a [DoubleArray] containing all of the elements of this [MutableBuffer]. + * Returns a new [DoubleArray] containing all of the elements of this [Buffer]. */ -public val MutableBuffer.array: DoubleArray - get() = (if (this is RealBuffer) array else DoubleArray(size) { get(it) }) +public fun Buffer.toDoubleArray(): DoubleArray = when (this) { + is RealBuffer -> array.copyOf() + else -> DoubleArray(size, ::get) +} /** * Returns [RealBuffer] over this array. diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/ShortBuffer.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/ShortBuffer.kt index afc472b72..7832bb863 100644 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/ShortBuffer.kt +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/ShortBuffer.kt @@ -33,10 +33,12 @@ public inline fun ShortBuffer(size: Int, init: (Int) -> Short): ShortBuffer = Sh public fun ShortBuffer(vararg shorts: Short): ShortBuffer = ShortBuffer(shorts) /** - * Returns a [ShortArray] containing all of the elements of this [MutableBuffer]. + * Returns a new [ShortArray] containing all of the elements of this [Buffer]. */ -public val MutableBuffer.array: ShortArray - get() = (if (this is ShortBuffer) array else ShortArray(size) { get(it) }) +public fun Buffer.toShortArray(): ShortArray = when (this) { + is ShortBuffer -> array.copyOf() + else -> ShortArray(size, ::get) +} /** * Returns [ShortBuffer] over this array. diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/bufferOperation.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/bufferOperation.kt new file mode 100644 index 000000000..4355ba17f --- /dev/null +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/bufferOperation.kt @@ -0,0 +1,84 @@ +package space.kscience.kmath.structures + +import space.kscience.kmath.misc.UnstableKMathAPI + +/** + * Typealias for buffer transformations. + */ +public typealias BufferTransform = (Buffer) -> Buffer + +/** + * Typealias for buffer transformations with suspend function. + */ +public typealias SuspendBufferTransform = suspend (Buffer) -> Buffer + + +/** + * Creates a sequence that returns all elements from this [Buffer]. + */ +public fun Buffer.asSequence(): Sequence = Sequence(::iterator) + +/** + * Creates an iterable that returns all elements from this [Buffer]. + */ +public fun Buffer.asIterable(): Iterable = Iterable(::iterator) + +/** + * Returns a new [List] containing all elements of this buffer. + */ +public fun Buffer.toList(): List = when (this) { + is ArrayBuffer -> array.toList() + is ListBuffer -> list.toList() + is MutableListBuffer -> list.toList() + else -> asSequence().toList() +} + +/** + * Returns a new [MutableList] filled with all elements of this buffer. + * **NOTE:** this method uses a protective copy, so it should not be used in performance-critical code. + */ +@UnstableKMathAPI +public fun Buffer.toMutableList(): MutableList = when (this) { + is ArrayBuffer -> array.toMutableList() + is ListBuffer -> list.toMutableList() + is MutableListBuffer -> list.toMutableList() + else -> MutableList(size, ::get) +} + +/** + * Returns a new [Array] containing all elements of this buffer. + * **NOTE:** this method uses a protective copy, so it should not be used in performance-critical code. + */ +@UnstableKMathAPI +public inline fun Buffer.toTypedArray(): Array = Array(size, ::get) + +/** + * Create a new buffer from this one with the given mapping function. + * Provided [BufferFactory] is used to construct the new buffer. + */ +public inline fun Buffer.map( + bufferFactory: BufferFactory = Buffer.Companion::auto, + crossinline block: (T) -> R, +): Buffer = bufferFactory(size) { block(get(it)) } + +/** + * Create a new buffer from this one with the given indexed mapping function. + * Provided [BufferFactory] is used to construct the new buffer. + */ +public inline fun Buffer.mapIndexed( + bufferFactory: BufferFactory = Buffer.Companion::auto, + crossinline block: (index: Int, value: T) -> R, +): Buffer = bufferFactory(size) { block(it, get(it)) } + +/** + * Zip two buffers using given [transform]. + */ +@UnstableKMathAPI +public inline fun Buffer.zip( + other: Buffer, + bufferFactory: BufferFactory = Buffer.Companion::auto, + crossinline transform: (T1, T2) -> R, +): Buffer { + require(size == other.size) { "Buffer size mismatch in zip: expected $size but found ${other.size}" } + return bufferFactory(size) { transform(get(it), other[it]) } +} \ No newline at end of file diff --git a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/linear/MatrixTest.kt b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/linear/MatrixTest.kt index 75967f024..097703f49 100644 --- a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/linear/MatrixTest.kt +++ b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/linear/MatrixTest.kt @@ -1,23 +1,24 @@ package space.kscience.kmath.linear +import space.kscience.kmath.misc.UnstableKMathAPI import space.kscience.kmath.nd.NDStructure import space.kscience.kmath.nd.as2D -import space.kscience.kmath.operations.invoke import kotlin.test.Test import kotlin.test.assertEquals +@UnstableKMathAPI @Suppress("UNUSED_VARIABLE") class MatrixTest { @Test fun testTranspose() { - val matrix = MatrixContext.real.one(3, 3) + val matrix = LinearSpace.real.one(3, 3) val transposed = matrix.transpose() assertEquals(matrix, transposed) } @Test fun testBuilder() { - val matrix = Matrix.build(2, 3)( + val matrix = LinearSpace.real.matrix(2, 3)( 1.0, 0.0, 0.0, 0.0, 1.0, 2.0 ) @@ -39,7 +40,7 @@ class MatrixTest { infix fun Matrix.pow(power: Int): Matrix { var res = this repeat(power - 1) { - res = RealMatrixContext.invoke { res dot this@pow } + res = LinearSpace.real.run { res dot this@pow } } return res } @@ -52,7 +53,7 @@ class MatrixTest { val firstMatrix = NDStructure.auto(2, 3) { (i, j) -> (i + j).toDouble() }.as2D() val secondMatrix = NDStructure.auto(3, 2) { (i, j) -> (i + j).toDouble() }.as2D() - MatrixContext.real.run { + LinearSpace.real.run { // val firstMatrix = produce(2, 3) { i, j -> (i + j).toDouble() } // val secondMatrix = produce(3, 2) { i, j -> (i + j).toDouble() } val result = firstMatrix dot secondMatrix diff --git a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/linear/RealLUSolverTest.kt b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/linear/RealLUSolverTest.kt index f1289801a..e6efc6a8a 100644 --- a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/linear/RealLUSolverTest.kt +++ b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/linear/RealLUSolverTest.kt @@ -1,29 +1,31 @@ package space.kscience.kmath.linear +import space.kscience.kmath.misc.UnstableKMathAPI import kotlin.test.Test import kotlin.test.assertEquals +@UnstableKMathAPI class RealLUSolverTest { @Test fun testInvertOne() { - val matrix = MatrixContext.real.one(2, 2) - val inverted = MatrixContext.real.inverseWithLup(matrix) + val matrix = LinearSpace.real.one(2, 2) + val inverted = LinearSpace.real.inverseWithLup(matrix) assertEquals(matrix, inverted) } @Test fun testDecomposition() { - val matrix = Matrix.square( - 3.0, 1.0, - 1.0, 3.0 - ) + LinearSpace.real.run { + val matrix = matrix(2, 2)( + 3.0, 1.0, + 2.0, 3.0 + ) - MatrixContext.real.run { val lup = lup(matrix) //Check determinant - assertEquals(8.0, lup.determinant) + assertEquals(7.0, lup.determinant) assertEquals(lup.p dot matrix, lup.l dot lup.u) } @@ -31,14 +33,14 @@ class RealLUSolverTest { @Test fun testInvert() { - val matrix = Matrix.square( + val matrix = LinearSpace.real.matrix(2, 2)( 3.0, 1.0, 1.0, 3.0 ) - val inverted = MatrixContext.real.inverseWithLup(matrix) + val inverted = LinearSpace.real.inverseWithLup(matrix) - val expected = Matrix.square( + val expected = LinearSpace.real.matrix(2, 2)( 0.375, -0.125, -0.125, 0.375 ) diff --git a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/structures/NumberNDFieldTest.kt b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/structures/NumberNDFieldTest.kt index 23b0e7348..e9e6e92fb 100644 --- a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/structures/NumberNDFieldTest.kt +++ b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/structures/NumberNDFieldTest.kt @@ -1,5 +1,6 @@ package space.kscience.kmath.structures +import space.kscience.kmath.linear.LinearSpace import space.kscience.kmath.nd.* import space.kscience.kmath.operations.Norm import space.kscience.kmath.operations.invoke @@ -10,7 +11,7 @@ import kotlin.test.assertEquals @Suppress("UNUSED_VARIABLE") class NumberNDFieldTest { - val algebra = NDAlgebra.real(3,3) + val algebra = NDAlgebra.real(3, 3) val array1 = algebra.produce { (i, j) -> (i + j).toDouble() } val array2 = algebra.produce { (i, j) -> (i - j).toDouble() } @@ -33,7 +34,9 @@ class NumberNDFieldTest { @Test fun testGeneration() { - val array = Structure2D.real(3, 3) { i, j -> (i * 10 + j).toDouble() } + val array = LinearSpace.real.buildMatrix(3, 3) { i, j -> + (i * 10 + j).toDouble() + } for (i in 0..2) { for (j in 0..2) { diff --git a/kmath-dimensions/src/commonMain/kotlin/space/kscience/kmath/dimensions/Wrappers.kt b/kmath-dimensions/src/commonMain/kotlin/space/kscience/kmath/dimensions/Wrappers.kt index 237824a39..f7e14b29f 100644 --- a/kmath-dimensions/src/commonMain/kotlin/space/kscience/kmath/dimensions/Wrappers.kt +++ b/kmath-dimensions/src/commonMain/kotlin/space/kscience/kmath/dimensions/Wrappers.kt @@ -2,7 +2,8 @@ package space.kscience.kmath.dimensions import space.kscience.kmath.linear.* import space.kscience.kmath.nd.Structure2D -import space.kscience.kmath.operations.invoke +import space.kscience.kmath.operations.RealField +import space.kscience.kmath.operations.Ring /** * A matrix with compile-time controlled dimension @@ -77,7 +78,7 @@ public inline class DPointWrapper(public val point: Point) /** * Basic operations on dimension-safe matrices. Operates on [Matrix] */ -public inline class DMatrixContext(public val context: MatrixContext>) { +public inline class DMatrixContext>(public val context: LinearSpace) { public inline fun Matrix.coerce(): DMatrix { require(rowNum == Dimension.dim().toInt()) { "Row number mismatch: expected ${Dimension.dim()} but found $rowNum" @@ -93,17 +94,19 @@ public inline class DMatrixContext(public val context: MatrixContext produce(noinline initializer: (i: Int, j: Int) -> T): DMatrix { + public inline fun produce( + noinline initializer: A.(i: Int, j: Int) -> T + ): DMatrix { val rows = Dimension.dim() val cols = Dimension.dim() - return context.produce(rows.toInt(), cols.toInt(), initializer).coerce() + return context.buildMatrix(rows.toInt(), cols.toInt(), initializer).coerce() } - public inline fun point(noinline initializer: (Int) -> T): DPoint { + public inline fun point(noinline initializer: A.(Int) -> T): DPoint { val size = Dimension.dim() return DPoint.coerceUnsafe( - context.point( + context.buildVector( size.toInt(), initializer ) @@ -112,31 +115,31 @@ public inline class DMatrixContext(public val context: MatrixContext DMatrix.dot( other: DMatrix, - ): DMatrix = context { this@dot dot other }.coerce() + ): DMatrix = context.run { this@dot dot other }.coerce() public inline infix fun DMatrix.dot(vector: DPoint): DPoint = - DPoint.coerceUnsafe(context { this@dot dot vector }) + DPoint.coerceUnsafe(context.run { this@dot dot vector }) public inline operator fun DMatrix.times(value: T): DMatrix = - context { this@times.times(value) }.coerce() + context.run { this@times.times(value) }.coerce() public inline operator fun T.times(m: DMatrix): DMatrix = m * this public inline operator fun DMatrix.plus(other: DMatrix): DMatrix = - context { this@plus + other }.coerce() + context.run { this@plus + other }.coerce() public inline operator fun DMatrix.minus(other: DMatrix): DMatrix = - context { this@minus + other }.coerce() + context.run { this@minus + other }.coerce() public inline operator fun DMatrix.unaryMinus(): DMatrix = - context { this@unaryMinus.unaryMinus() }.coerce() + context.run { this@unaryMinus.unaryMinus() }.coerce() public inline fun DMatrix.transpose(): DMatrix = - context { (this@transpose as Matrix).transpose() }.coerce() + context.run { (this@transpose as Matrix).transpose() }.coerce() public companion object { - public val real: DMatrixContext = DMatrixContext(MatrixContext.real) + public val real: DMatrixContext = DMatrixContext(LinearSpace.real) } } @@ -144,11 +147,11 @@ public inline class DMatrixContext(public val context: MatrixContext DMatrixContext.one(): DMatrix = produce { i, j -> +public inline fun DMatrixContext.one(): DMatrix = produce { i, j -> if (i == j) 1.0 else 0.0 } -public inline fun DMatrixContext.zero(): DMatrix = +public inline fun DMatrixContext.zero(): DMatrix = produce { _, _ -> 0.0 } \ No newline at end of file diff --git a/kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlLinearSpace.kt b/kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlLinearSpace.kt new file mode 100644 index 000000000..452280295 --- /dev/null +++ b/kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlLinearSpace.kt @@ -0,0 +1,187 @@ +package space.kscience.kmath.ejml + +import org.ejml.dense.row.factory.DecompositionFactory_DDRM +import org.ejml.simple.SimpleMatrix +import space.kscience.kmath.linear.* +import space.kscience.kmath.misc.UnstableKMathAPI +import space.kscience.kmath.nd.getFeature +import space.kscience.kmath.operations.RealField +import space.kscience.kmath.structures.RealBuffer +import kotlin.reflect.KClass +import kotlin.reflect.cast + +/** + * Represents context of basic operations operating with [EjmlMatrix]. + * + * @author Iaroslav Postovalov + */ +public object EjmlLinearSpace : LinearSpace { + + override val elementAlgebra: RealField get() = RealField + + /** + * Converts this matrix to EJML one. + */ + @OptIn(UnstableKMathAPI::class) + public fun Matrix.toEjml(): EjmlMatrix = when (val matrix = origin) { + is EjmlMatrix -> matrix + else -> buildMatrix(rowNum, colNum) { i, j -> get(i, j) } + } + + /** + * Converts this vector to EJML one. + */ + public fun Point.toEjml(): EjmlVector = when (this) { + is EjmlVector -> this + else -> EjmlVector(SimpleMatrix(size, 1).also { + (0 until it.numRows()).forEach { row -> it[row, 0] = get(row) } + }) + } + + override fun buildMatrix(rows: Int, columns: Int, initializer: RealField.(i: Int, j: Int) -> Double): EjmlMatrix = + EjmlMatrix(SimpleMatrix(rows, columns).also { + (0 until rows).forEach { row -> + (0 until columns).forEach { col -> it[row, col] = RealField.initializer(row, col) } + } + }) + + override fun buildVector(size: Int, initializer: RealField.(Int) -> Double): Point = + EjmlVector(SimpleMatrix(size, 1).also { + (0 until it.numRows()).forEach { row -> it[row, 0] = RealField.initializer(row) } + }) + + private fun SimpleMatrix.wrapMatrix() = EjmlMatrix(this) + private fun SimpleMatrix.wrapVector() = EjmlVector(this) + + override fun Matrix.unaryMinus(): Matrix = this * (-1.0) + + public override fun Matrix.dot(other: Matrix): EjmlMatrix = + EjmlMatrix(toEjml().origin.mult(other.toEjml().origin)) + + public override fun Matrix.dot(vector: Point): EjmlVector = + EjmlVector(toEjml().origin.mult(vector.toEjml().origin)) + + public override operator fun Matrix.minus(other: Matrix): EjmlMatrix = + (toEjml().origin - other.toEjml().origin).wrapMatrix() + + public override operator fun Matrix.times(value: Double): EjmlMatrix = + toEjml().origin.scale(value).wrapMatrix() + + override fun Point.unaryMinus(): EjmlVector = + toEjml().origin.negative().wrapVector() + + override fun Matrix.plus(other: Matrix): EjmlMatrix = + (toEjml().origin + other.toEjml().origin).wrapMatrix() + + override fun Point.plus(other: Point): EjmlVector = + (toEjml().origin + other.toEjml().origin).wrapVector() + + override fun Point.minus(other: Point): EjmlVector = + (toEjml().origin - other.toEjml().origin).wrapVector() + + override fun Double.times(m: Matrix): EjmlMatrix = + m.toEjml().origin.scale(this).wrapMatrix() + + override fun Point.times(value: Double): EjmlVector = + toEjml().origin.scale(value).wrapVector() + + override fun Double.times(v: Point): EjmlVector = + v.toEjml().origin.scale(this).wrapVector() + + @UnstableKMathAPI + override fun getFeature(structure: Matrix, type: KClass): F? { + //Return the feature if it is intrinsic to the structure + structure.getFeature(type)?.let { return it } + + val origin = structure.toEjml().origin + + return when (type) { + InverseMatrixFeature::class -> object : InverseMatrixFeature { + override val inverse: Matrix by lazy { EjmlMatrix(origin.invert()) } + } + + DeterminantFeature::class -> object : DeterminantFeature { + override val determinant: Double by lazy(origin::determinant) + } + + SingularValueDecompositionFeature::class -> object : SingularValueDecompositionFeature { + private val svd by lazy { + DecompositionFactory_DDRM.svd(origin.numRows(), origin.numCols(), true, true, false) + .apply { decompose(origin.ddrm.copy()) } + } + + override val u: Matrix by lazy { EjmlMatrix(SimpleMatrix(svd.getU(null, false))) } + override val s: Matrix by lazy { EjmlMatrix(SimpleMatrix(svd.getW(null))) } + override val v: Matrix by lazy { EjmlMatrix(SimpleMatrix(svd.getV(null, false))) } + override val singularValues: Point by lazy { RealBuffer(svd.singularValues) } + } + + QRDecompositionFeature::class -> object : QRDecompositionFeature { + private val qr by lazy { + DecompositionFactory_DDRM.qr().apply { decompose(origin.ddrm.copy()) } + } + + override val q: Matrix by lazy { + EjmlMatrix(SimpleMatrix(qr.getQ(null, false))) + OrthogonalFeature + } + + override val r: Matrix by lazy { EjmlMatrix(SimpleMatrix(qr.getR(null, false))) + UFeature } + } + + CholeskyDecompositionFeature::class -> object : CholeskyDecompositionFeature { + override val l: Matrix by lazy { + val cholesky = + DecompositionFactory_DDRM.chol(structure.rowNum, true).apply { decompose(origin.ddrm.copy()) } + + EjmlMatrix(SimpleMatrix(cholesky.getT(null))) + LFeature + } + } + + LupDecompositionFeature::class -> object : LupDecompositionFeature { + private val lup by lazy { + DecompositionFactory_DDRM.lu(origin.numRows(), origin.numCols()) + .apply { decompose(origin.ddrm.copy()) } + } + + override val l: Matrix by lazy { + EjmlMatrix(SimpleMatrix(lup.getLower(null))) + LFeature + } + + override val u: Matrix by lazy { + EjmlMatrix(SimpleMatrix(lup.getUpper(null))) + UFeature + } + + override val p: Matrix by lazy { EjmlMatrix(SimpleMatrix(lup.getRowPivot(null))) } + } + + else -> null + }?.let(type::cast) + } +} + +/** + * Solves for X in the following equation: x = a^-1*b, where 'a' is base matrix and 'b' is an n by p matrix. + * + * @param a the base matrix. + * @param b n by p matrix. + * @return the solution for 'x' that is n by p. + * @author Iaroslav Postovalov + */ +public fun EjmlLinearSpace.solve(a: Matrix, b: Matrix): EjmlMatrix = + EjmlMatrix(a.toEjml().origin.solve(b.toEjml().origin)) + +/** + * Solves for X in the following equation: x = a^(-1)*b, where 'a' is base matrix and 'b' is an n by p matrix. + * + * @param a the base matrix. + * @param b n by p vector. + * @return the solution for 'x' that is n by p. + * @author Iaroslav Postovalov + */ +public fun EjmlLinearSpace.solve(a: Matrix, b: Point): EjmlVector = + EjmlVector(a.toEjml().origin.solve(b.toEjml().origin)) + +@OptIn(UnstableKMathAPI::class) +public fun EjmlMatrix.inverted(): EjmlMatrix = getFeature>()!!.inverse as EjmlMatrix + +public fun EjmlLinearSpace.inverse(matrix: Matrix): Matrix = matrix.toEjml().inverted() \ No newline at end of file diff --git a/kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlMatrix.kt b/kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlMatrix.kt index d23e613e4..5f93af729 100644 --- a/kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlMatrix.kt +++ b/kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlMatrix.kt @@ -1,13 +1,8 @@ package space.kscience.kmath.ejml -import org.ejml.dense.row.factory.DecompositionFactory_DDRM import org.ejml.simple.SimpleMatrix -import space.kscience.kmath.linear.* -import space.kscience.kmath.misc.UnstableKMathAPI +import space.kscience.kmath.linear.Matrix import space.kscience.kmath.nd.NDStructure -import space.kscience.kmath.structures.RealBuffer -import kotlin.reflect.KClass -import kotlin.reflect.cast /** * Represents featured matrix over EJML [SimpleMatrix]. @@ -19,73 +14,11 @@ public class EjmlMatrix(public val origin: SimpleMatrix) : Matrix { public override val rowNum: Int get() = origin.numRows() public override val colNum: Int get() = origin.numCols() - @UnstableKMathAPI - public override fun getFeature(type: KClass): T? = when (type) { - InverseMatrixFeature::class -> object : InverseMatrixFeature { - override val inverse: Matrix by lazy { EjmlMatrix(origin.invert()) } - } - - DeterminantFeature::class -> object : DeterminantFeature { - override val determinant: Double by lazy(origin::determinant) - } - - SingularValueDecompositionFeature::class -> object : SingularValueDecompositionFeature { - private val svd by lazy { - DecompositionFactory_DDRM.svd(origin.numRows(), origin.numCols(), true, true, false) - .apply { decompose(origin.ddrm.copy()) } - } - - override val u: Matrix by lazy { EjmlMatrix(SimpleMatrix(svd.getU(null, false))) } - override val s: Matrix by lazy { EjmlMatrix(SimpleMatrix(svd.getW(null))) } - override val v: Matrix by lazy { EjmlMatrix(SimpleMatrix(svd.getV(null, false))) } - override val singularValues: Point by lazy { RealBuffer(svd.singularValues) } - } - - QRDecompositionFeature::class -> object : QRDecompositionFeature { - private val qr by lazy { - DecompositionFactory_DDRM.qr().apply { decompose(origin.ddrm.copy()) } - } - - override val q: Matrix by lazy { - EjmlMatrix(SimpleMatrix(qr.getQ(null, false))) + OrthogonalFeature - } - - override val r: Matrix by lazy { EjmlMatrix(SimpleMatrix(qr.getR(null, false))) + UFeature } - } - - CholeskyDecompositionFeature::class -> object : CholeskyDecompositionFeature { - override val l: Matrix by lazy { - val cholesky = - DecompositionFactory_DDRM.chol(rowNum, true).apply { decompose(origin.ddrm.copy()) } - - EjmlMatrix(SimpleMatrix(cholesky.getT(null))) + LFeature - } - } - - LupDecompositionFeature::class -> object : LupDecompositionFeature { - private val lup by lazy { - DecompositionFactory_DDRM.lu(origin.numRows(), origin.numCols()).apply { decompose(origin.ddrm.copy()) } - } - - override val l: Matrix by lazy { - EjmlMatrix(SimpleMatrix(lup.getLower(null))) + LFeature - } - - override val u: Matrix by lazy { - EjmlMatrix(SimpleMatrix(lup.getUpper(null))) + UFeature - } - - override val p: Matrix by lazy { EjmlMatrix(SimpleMatrix(lup.getRowPivot(null))) } - } - - else -> null - }?.let(type::cast) - public override operator fun get(i: Int, j: Int): Double = origin[i, j] override fun equals(other: Any?): Boolean { if (this === other) return true - if (other !is Matrix<*>) return false + if (other !is NDStructure<*>) return false return NDStructure.contentEquals(this, other) } diff --git a/kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlMatrixContext.kt b/kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlMatrixContext.kt deleted file mode 100644 index 95c465975..000000000 --- a/kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlMatrixContext.kt +++ /dev/null @@ -1,92 +0,0 @@ -package space.kscience.kmath.ejml - -import org.ejml.simple.SimpleMatrix -import space.kscience.kmath.linear.* -import space.kscience.kmath.misc.UnstableKMathAPI -import space.kscience.kmath.nd.getFeature -import space.kscience.kmath.operations.ScaleOperations - -/** - * Represents context of basic operations operating with [EjmlMatrix]. - * - * @author Iaroslav Postovalov - */ -public object EjmlMatrixContext : MatrixContext, ScaleOperations> { - - /** - * Converts this matrix to EJML one. - */ - @OptIn(UnstableKMathAPI::class) - public fun Matrix.toEjml(): EjmlMatrix = when (val matrix = origin) { - is EjmlMatrix -> matrix - else -> produce(rowNum, colNum) { i, j -> get(i, j) } - } - - /** - * Converts this vector to EJML one. - */ - public fun Point.toEjml(): EjmlVector = - if (this is EjmlVector) this else EjmlVector(SimpleMatrix(size, 1).also { - (0 until it.numRows()).forEach { row -> it[row, 0] = get(row) } - }) - - override fun produce(rows: Int, columns: Int, initializer: (i: Int, j: Int) -> Double): EjmlMatrix = - EjmlMatrix(SimpleMatrix(rows, columns).also { - (0 until rows).forEach { row -> - (0 until columns).forEach { col -> it[row, col] = initializer(row, col) } - } - }) - - override fun point(size: Int, initializer: (Int) -> Double): Point = - EjmlVector(SimpleMatrix(size, 1).also { - (0 until it.numRows()).forEach { row -> it[row, 0] = initializer(row) } - }) - - - override fun Matrix.unaryMinus(): Matrix = this*(-1) - - public override fun Matrix.dot(other: Matrix): EjmlMatrix = - EjmlMatrix(toEjml().origin.mult(other.toEjml().origin)) - - public override fun Matrix.dot(vector: Point): EjmlVector = - EjmlVector(toEjml().origin.mult(vector.toEjml().origin)) - - public override fun add(a: Matrix, b: Matrix): EjmlMatrix = - EjmlMatrix(a.toEjml().origin + b.toEjml().origin) - - public override operator fun Matrix.minus(b: Matrix): EjmlMatrix = - EjmlMatrix(toEjml().origin - b.toEjml().origin) - - public override fun scale(a: Matrix, value: Double): EjmlMatrix = - produce(a.rowNum, a.colNum) { i, j -> a[i, j] * value } - - public override operator fun Matrix.times(value: Double): EjmlMatrix = - EjmlMatrix(toEjml().origin.scale(value)) -} - -/** - * Solves for X in the following equation: x = a^-1*b, where 'a' is base matrix and 'b' is an n by p matrix. - * - * @param a the base matrix. - * @param b n by p matrix. - * @return the solution for 'x' that is n by p. - * @author Iaroslav Postovalov - */ -public fun EjmlMatrixContext.solve(a: Matrix, b: Matrix): EjmlMatrix = - EjmlMatrix(a.toEjml().origin.solve(b.toEjml().origin)) - -/** - * Solves for X in the following equation: x = a^(-1)*b, where 'a' is base matrix and 'b' is an n by p matrix. - * - * @param a the base matrix. - * @param b n by p vector. - * @return the solution for 'x' that is n by p. - * @author Iaroslav Postovalov - */ -public fun EjmlMatrixContext.solve(a: Matrix, b: Point): EjmlVector = - EjmlVector(a.toEjml().origin.solve(b.toEjml().origin)) - -@OptIn(UnstableKMathAPI::class) -public fun EjmlMatrix.inverted(): EjmlMatrix = getFeature>()!!.inverse as EjmlMatrix - -public fun EjmlMatrixContext.inverse(matrix: Matrix): Matrix = matrix.toEjml().inverted() \ No newline at end of file diff --git a/kmath-ejml/src/test/kotlin/space/kscience/kmath/ejml/EjmlMatrixTest.kt b/kmath-ejml/src/test/kotlin/space/kscience/kmath/ejml/EjmlMatrixTest.kt index 7f31d2f93..70b2ce723 100644 --- a/kmath-ejml/src/test/kotlin/space/kscience/kmath/ejml/EjmlMatrixTest.kt +++ b/kmath-ejml/src/test/kotlin/space/kscience/kmath/ejml/EjmlMatrixTest.kt @@ -2,10 +2,7 @@ package space.kscience.kmath.ejml import org.ejml.dense.row.factory.DecompositionFactory_DDRM import org.ejml.simple.SimpleMatrix -import space.kscience.kmath.linear.DeterminantFeature -import space.kscience.kmath.linear.LupDecompositionFeature -import space.kscience.kmath.linear.MatrixFeature -import space.kscience.kmath.linear.plus +import space.kscience.kmath.linear.* import space.kscience.kmath.misc.UnstableKMathAPI import space.kscience.kmath.nd.getFeature import kotlin.random.Random @@ -45,9 +42,9 @@ internal class EjmlMatrixTest { fun features() { val m = randomMatrix val w = EjmlMatrix(m) - val det = w.getFeature>() ?: fail() + val det: DeterminantFeature = EjmlLinearSpace.getFeature(w) ?: fail() assertEquals(m.determinant(), det.determinant) - val lup = w.getFeature>() ?: fail() + val lup: LupDecompositionFeature = EjmlLinearSpace.getFeature(w) ?: fail() val ludecompositionF64 = DecompositionFactory_DDRM.lu(m.numRows(), m.numCols()) .also { it.decompose(m.ddrm.copy()) } diff --git a/kmath-for-real/README.md b/kmath-for-real/README.md index 94b9eb59a..63c5cd249 100644 --- a/kmath-for-real/README.md +++ b/kmath-for-real/README.md @@ -7,7 +7,7 @@ > #### Artifact: > -> This module artifact: `space.kscience:kmath-for-real:0.2.0`. +> This module artifact: `space.kscience:kmath-for-real:0.3.0-dev-2`. > > Bintray release version: [ ![Download](https://api.bintray.com/packages/mipt-npm/kscience/kmath-for-real/images/download.svg) ](https://bintray.com/mipt-npm/kscience/kmath-for-real/_latestVersion) > @@ -26,7 +26,7 @@ > } > > dependencies { -> implementation 'space.kscience:kmath-for-real:0.2.0' +> implementation 'space.kscience:kmath-for-real:0.3.0-dev-2' > } > ``` > **Gradle Kotlin DSL:** @@ -42,6 +42,6 @@ > } > > dependencies { -> implementation("space.kscience:kmath-for-real:0.2.0") +> implementation("space.kscience:kmath-for-real:0.3.0-dev-2") > } > ``` diff --git a/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/RealMatrix.kt b/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/RealMatrix.kt index 30d002498..76c73ab16 100644 --- a/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/RealMatrix.kt +++ b/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/RealMatrix.kt @@ -2,6 +2,7 @@ package space.kscience.kmath.real import space.kscience.kmath.linear.* import space.kscience.kmath.misc.UnstableKMathAPI +import space.kscience.kmath.operations.RealField import space.kscience.kmath.structures.Buffer import space.kscience.kmath.structures.RealBuffer import space.kscience.kmath.structures.asIterable @@ -21,15 +22,19 @@ import kotlin.math.pow public typealias RealMatrix = Matrix -public fun realMatrix(rowNum: Int, colNum: Int, initializer: (i: Int, j: Int) -> Double): RealMatrix = - MatrixContext.real.produce(rowNum, colNum, initializer) +public fun realMatrix(rowNum: Int, colNum: Int, initializer: RealField.(i: Int, j: Int) -> Double): RealMatrix = + LinearSpace.real.buildMatrix(rowNum, colNum, initializer) + +@OptIn(UnstableKMathAPI::class) +public fun realMatrix(rowNum: Int, colNum: Int): MatrixBuilder = + LinearSpace.real.matrix(rowNum, colNum) public fun Array.toMatrix(): RealMatrix { - return MatrixContext.real.produce(size, this[0].size) { row, col -> this[row][col] } + return LinearSpace.real.buildMatrix(size, this[0].size) { row, col -> this@toMatrix[row][col] } } public fun Sequence.toMatrix(): RealMatrix = toList().let { - MatrixContext.real.produce(it.size, it[0].size) { row, col -> it[row][col] } + LinearSpace.real.buildMatrix(it.size, it[0].size) { row, col -> it[row][col] } } public fun RealMatrix.repeatStackVertical(n: Int): RealMatrix = @@ -42,38 +47,38 @@ public fun RealMatrix.repeatStackVertical(n: Int): RealMatrix = */ public operator fun RealMatrix.times(double: Double): RealMatrix = - MatrixContext.real.produce(rowNum, colNum) { row, col -> - this[row, col] * double + LinearSpace.real.buildMatrix(rowNum, colNum) { row, col -> + get(row, col) * double } public operator fun RealMatrix.plus(double: Double): RealMatrix = - MatrixContext.real.produce(rowNum, colNum) { row, col -> - this[row, col] + double + LinearSpace.real.buildMatrix(rowNum, colNum) { row, col -> + get(row, col) + double } public operator fun RealMatrix.minus(double: Double): RealMatrix = - MatrixContext.real.produce(rowNum, colNum) { row, col -> - this[row, col] - double + LinearSpace.real.buildMatrix(rowNum, colNum) { row, col -> + get(row, col) - double } public operator fun RealMatrix.div(double: Double): RealMatrix = - MatrixContext.real.produce(rowNum, colNum) { row, col -> - this[row, col] / double + LinearSpace.real.buildMatrix(rowNum, colNum) { row, col -> + get(row, col) / double } public operator fun Double.times(matrix: RealMatrix): RealMatrix = - MatrixContext.real.produce(matrix.rowNum, matrix.colNum) { row, col -> - this * matrix[row, col] + LinearSpace.real.buildMatrix(matrix.rowNum, matrix.colNum) { row, col -> + this@times * matrix[row, col] } public operator fun Double.plus(matrix: RealMatrix): RealMatrix = - MatrixContext.real.produce(matrix.rowNum, matrix.colNum) { row, col -> - this + matrix[row, col] + LinearSpace.real.buildMatrix(matrix.rowNum, matrix.colNum) { row, col -> + this@plus + matrix[row, col] } public operator fun Double.minus(matrix: RealMatrix): RealMatrix = - MatrixContext.real.produce(matrix.rowNum, matrix.colNum) { row, col -> - this - matrix[row, col] + LinearSpace.real.buildMatrix(matrix.rowNum, matrix.colNum) { row, col -> + this@minus - matrix[row, col] } // TODO: does this operation make sense? Should it be 'this/matrix[row, col]'? @@ -87,29 +92,29 @@ public operator fun Double.minus(matrix: RealMatrix): RealMatrix = @UnstableKMathAPI public operator fun RealMatrix.times(other: RealMatrix): RealMatrix = - MatrixContext.real.produce(rowNum, colNum) { row, col -> this[row, col] * other[row, col] } + LinearSpace.real.buildMatrix(rowNum, colNum) { row, col -> this@times[row, col] * other[row, col] } public operator fun RealMatrix.plus(other: RealMatrix): RealMatrix = - MatrixContext.real.add(this, other) + LinearSpace.real.run { this@plus + other } public operator fun RealMatrix.minus(other: RealMatrix): RealMatrix = - MatrixContext.real.produce(rowNum, colNum) { row, col -> this[row, col] - other[row, col] } + LinearSpace.real.buildMatrix(rowNum, colNum) { row, col -> this@minus[row, col] - other[row, col] } /* * Operations on columns */ public inline fun RealMatrix.appendColumn(crossinline mapper: (Buffer) -> Double): RealMatrix = - MatrixContext.real.produce(rowNum, colNum + 1) { row, col -> + LinearSpace.real.buildMatrix(rowNum, colNum + 1) { row, col -> if (col < colNum) - this[row, col] + get(row, col) else mapper(rows[row]) } public fun RealMatrix.extractColumns(columnRange: IntRange): RealMatrix = - MatrixContext.real.produce(rowNum, columnRange.count()) { row, col -> - this[row, columnRange.first + col] + LinearSpace.real.buildMatrix(rowNum, columnRange.count()) { row, col -> + this@extractColumns[row, columnRange.first + col] } public fun RealMatrix.extractColumn(columnIndex: Int): RealMatrix = @@ -141,14 +146,14 @@ public fun RealMatrix.max(): Double? = elements().map { (_, value) -> value }.ma public fun RealMatrix.average(): Double = elements().map { (_, value) -> value }.average() public inline fun RealMatrix.map(crossinline transform: (Double) -> Double): RealMatrix = - MatrixContext.real.produce(rowNum, colNum) { i, j -> + LinearSpace.real.buildMatrix(rowNum, colNum) { i, j -> transform(get(i, j)) } /** * Inverse a square real matrix using LUP decomposition */ -public fun RealMatrix.inverseWithLup(): RealMatrix = MatrixContext.real.inverseWithLup(this) +public fun RealMatrix.inverseWithLup(): RealMatrix = LinearSpace.real.inverseWithLup(this) //extended operations diff --git a/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/RealVector.kt b/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/RealVector.kt index ca892fa7e..8cc128947 100644 --- a/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/RealVector.kt +++ b/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/RealVector.kt @@ -1,10 +1,13 @@ package space.kscience.kmath.real import space.kscience.kmath.linear.Point +import space.kscience.kmath.misc.UnstableKMathAPI import space.kscience.kmath.operations.Norm import space.kscience.kmath.structures.Buffer +import space.kscience.kmath.structures.MutableBuffer.Companion.real import space.kscience.kmath.structures.asBuffer import space.kscience.kmath.structures.asIterable +import space.kscience.kmath.structures.indices import kotlin.math.pow import kotlin.math.sqrt @@ -19,18 +22,19 @@ public operator fun Buffer.Companion.invoke(vararg doubles: Double): RealVector /** * Fill the vector of given [size] with given [value] */ +@UnstableKMathAPI public fun Buffer.Companion.same(size: Int, value: Number): RealVector = real(size) { value.toDouble() } // Transformation methods public inline fun RealVector.map(transform: (Double) -> Double): RealVector = - Buffer.real(size) { transform(get(it)) } + real(size) { transform(get(it)) } public inline fun RealVector.mapIndexed(transform: (index: Int, value: Double) -> Double): RealVector = - Buffer.real(size) { transform(it, get(it)) } + real(size) { transform(it, get(it)) } public operator fun RealVector.plus(other: RealVector): RealVector { - require(size == other.size){"Vector size $size expected but ${other.size} found"} + require(size == other.size) { "Vector size $size expected but ${other.size} found" } return mapIndexed { index, value -> value + other[index] } } @@ -41,7 +45,7 @@ public operator fun Number.plus(vector: RealVector): RealVector = vector + this public operator fun RealVector.unaryMinus(): Buffer = map { -it } public operator fun RealVector.minus(other: RealVector): RealVector { - require(size == other.size){"Vector size $size expected but ${other.size} found"} + require(size == other.size) { "Vector size $size expected but ${other.size} found" } return mapIndexed { index, value -> value - other[index] } } @@ -50,7 +54,7 @@ public operator fun RealVector.minus(number: Number): RealVector = map { it - nu public operator fun Number.minus(vector: RealVector): RealVector = vector.map { toDouble() - it } public operator fun RealVector.times(other: RealVector): RealVector { - require(size == other.size){"Vector size $size expected but ${other.size} found"} + require(size == other.size) { "Vector size $size expected but ${other.size} found" } return mapIndexed { index, value -> value * other[index] } } @@ -59,7 +63,7 @@ public operator fun RealVector.times(number: Number): RealVector = map { it * nu public operator fun Number.times(vector: RealVector): RealVector = vector * this public operator fun RealVector.div(other: RealVector): RealVector { - require(size == other.size){"Vector size $size expected but ${other.size} found"} + require(size == other.size) { "Vector size $size expected but ${other.size} found" } return mapIndexed { index, value -> value / other[index] } } @@ -88,3 +92,13 @@ public fun tan(vector: RealVector): RealVector = vector.map { kotlin.math.tan(it public fun ln(vector: RealVector): RealVector = vector.map { kotlin.math.ln(it) } public fun log10(vector: RealVector): RealVector = vector.map { kotlin.math.log10(it) } + +// reductions methods + +public fun RealVector.sum(): Double { + var res = 0.0 + for (i in indices) { + res += get(i) + } + return res +} \ No newline at end of file diff --git a/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/dot.kt b/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/dot.kt index cbfb364c1..0bc5c111b 100644 --- a/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/dot.kt +++ b/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/dot.kt @@ -1,31 +1,12 @@ package space.kscience.kmath.real -import space.kscience.kmath.linear.BufferMatrix -import space.kscience.kmath.structures.Buffer -import space.kscience.kmath.structures.RealBuffer +import space.kscience.kmath.linear.LinearSpace +import space.kscience.kmath.linear.Matrix /** * Optimized dot product for real matrices */ -public infix fun BufferMatrix.dot(other: BufferMatrix): BufferMatrix { - require(colNum == other.rowNum) { "Matrix dot operation dimension mismatch: ($rowNum, $colNum) x (${other.rowNum}, ${other.colNum})" } - val resultArray = DoubleArray(this.rowNum * other.colNum) - - //convert to array to insure there is no memory indirection - fun Buffer.unsafeArray() = if (this is RealBuffer) - this.array - else - DoubleArray(size) { get(it) } - - val a = this.buffer.unsafeArray() - val b = other.buffer.unsafeArray() - - for (i in (0 until rowNum)) - for (j in (0 until other.colNum)) - for (k in (0 until colNum)) - resultArray[i * other.colNum + j] += a[i * colNum + k] * b[k * other.colNum + j] - - val buffer = RealBuffer(resultArray) - return BufferMatrix(rowNum, other.colNum, buffer) +public infix fun Matrix.dot(other: Matrix): Matrix = LinearSpace.real.run{ + this@dot dot other } \ No newline at end of file diff --git a/kmath-for-real/src/commonTest/kotlin/kaceince/kmath/real/RealMatrixTest.kt b/kmath-for-real/src/commonTest/kotlin/kaceince/kmath/real/RealMatrixTest.kt index 9e2778be9..06135598e 100644 --- a/kmath-for-real/src/commonTest/kotlin/kaceince/kmath/real/RealMatrixTest.kt +++ b/kmath-for-real/src/commonTest/kotlin/kaceince/kmath/real/RealMatrixTest.kt @@ -1,7 +1,7 @@ package kaceince.kmath.real -import space.kscience.kmath.linear.Matrix -import space.kscience.kmath.linear.build +import space.kscience.kmath.linear.LinearSpace +import space.kscience.kmath.linear.matrix import space.kscience.kmath.misc.UnstableKMathAPI import space.kscience.kmath.real.* import space.kscience.kmath.structures.contentEquals @@ -9,6 +9,7 @@ import kotlin.test.Test import kotlin.test.assertEquals import kotlin.test.assertTrue +@UnstableKMathAPI internal class RealMatrixTest { @Test fun testSum() { @@ -30,11 +31,11 @@ internal class RealMatrixTest { @Test fun testRepeatStackVertical() { - val matrix1 = Matrix.build(2, 3)( + val matrix1 = realMatrix(2, 3)( 1.0, 0.0, 0.0, 0.0, 1.0, 2.0 ) - val matrix2 = Matrix.build(6, 3)( + val matrix2 = realMatrix(6, 3)( 1.0, 0.0, 0.0, 0.0, 1.0, 2.0, 1.0, 0.0, 0.0, @@ -47,12 +48,12 @@ internal class RealMatrixTest { @Test fun testMatrixAndDouble() { - val matrix1 = Matrix.build(2, 3)( + val matrix1 = realMatrix(2, 3)( 1.0, 0.0, 3.0, 4.0, 6.0, 2.0 ) val matrix2 = (matrix1 * 2.5 + 1.0 - 2.0) / 2.0 - val expectedResult = Matrix.build(2, 3)( + val expectedResult = LinearSpace.real.matrix(2, 3)( 0.75, -0.5, 3.25, 4.5, 7.0, 2.0 ) @@ -61,13 +62,13 @@ internal class RealMatrixTest { @Test fun testDoubleAndMatrix() { - val matrix1 = Matrix.build(2, 3)( + val matrix1 = realMatrix(2, 3)( 1.0, 0.0, 3.0, 4.0, 6.0, 2.0 ) val matrix2 = 20.0 - (10.0 + (5.0 * matrix1)) //val matrix2 = 10.0 + (5.0 * matrix1) - val expectedResult = Matrix.build(2, 3)( + val expectedResult = realMatrix(2, 3)( 5.0, 10.0, -5.0, -10.0, -20.0, 0.0 ) @@ -76,15 +77,15 @@ internal class RealMatrixTest { @Test fun testSquareAndPower() { - val matrix1 = Matrix.build(2, 3)( + val matrix1 = realMatrix(2, 3)( -1.0, 0.0, 3.0, 4.0, -6.0, -2.0 ) - val matrix2 = Matrix.build(2, 3)( + val matrix2 = realMatrix(2, 3)( 1.0, 0.0, 9.0, 16.0, 36.0, 4.0 ) - val matrix3 = Matrix.build(2, 3)( + val matrix3 = realMatrix(2, 3)( -1.0, 0.0, 27.0, 64.0, -216.0, -8.0 ) @@ -95,16 +96,16 @@ internal class RealMatrixTest { @OptIn(UnstableKMathAPI::class) @Test fun testTwoMatrixOperations() { - val matrix1 = Matrix.build(2, 3)( + val matrix1 = realMatrix(2, 3)( -1.0, 0.0, 3.0, 4.0, -6.0, 7.0 ) - val matrix2 = Matrix.build(2, 3)( + val matrix2 = realMatrix(2, 3)( 1.0, 0.0, 3.0, 4.0, 6.0, -2.0 ) val result = matrix1 * matrix2 + matrix1 - matrix2 - val expectedResult = Matrix.build(2, 3)( + val expectedResult = realMatrix(2, 3)( -3.0, 0.0, 9.0, 16.0, -48.0, -5.0 ) @@ -113,16 +114,16 @@ internal class RealMatrixTest { @Test fun testColumnOperations() { - val matrix1 = Matrix.build(2, 4)( + val matrix1 = realMatrix(2, 4)( -1.0, 0.0, 3.0, 15.0, 4.0, -6.0, 7.0, -11.0 ) - val matrix2 = Matrix.build(2, 5)( + val matrix2 = realMatrix(2, 5)( -1.0, 0.0, 3.0, 15.0, -1.0, 4.0, -6.0, 7.0, -11.0, 4.0 ) - val col1 = Matrix.build(2, 1)(0.0, -6.0) - val cols1to2 = Matrix.build(2, 2)( + val col1 = realMatrix(2, 1)(0.0, -6.0) + val cols1to2 = realMatrix(2, 2)( 0.0, 3.0, -6.0, 7.0 ) @@ -147,7 +148,7 @@ internal class RealMatrixTest { @Test fun testAllElementOperations() { - val matrix1 = Matrix.build(2, 4)( + val matrix1 = LinearSpace.real.matrix(2, 4)( -1.0, 0.0, 3.0, 15.0, 4.0, -6.0, 7.0, -11.0 ) diff --git a/kmath-for-real/src/commonTest/kotlin/kaceince/kmath/real/RealVectorTest.kt b/kmath-for-real/src/commonTest/kotlin/kaceince/kmath/real/RealVectorTest.kt index 463c68681..60d85fda3 100644 --- a/kmath-for-real/src/commonTest/kotlin/kaceince/kmath/real/RealVectorTest.kt +++ b/kmath-for-real/src/commonTest/kotlin/kaceince/kmath/real/RealVectorTest.kt @@ -1,38 +1,36 @@ package kaceince.kmath.real -import space.kscience.kmath.linear.MatrixContext +import space.kscience.kmath.linear.LinearSpace import space.kscience.kmath.linear.asMatrix -import space.kscience.kmath.linear.real import space.kscience.kmath.linear.transpose -import space.kscience.kmath.operations.invoke import space.kscience.kmath.real.plus -import space.kscience.kmath.structures.Buffer +import space.kscience.kmath.structures.RealBuffer import kotlin.test.Test import kotlin.test.assertEquals internal class RealVectorTest { @Test fun testSum() { - val vector1 = Buffer.real(5) { it.toDouble() } - val vector2 = Buffer.real(5) { 5 - it.toDouble() } + val vector1 = RealBuffer(5) { it.toDouble() } + val vector2 = RealBuffer(5) { 5 - it.toDouble() } val sum = vector1 + vector2 assertEquals(5.0, sum[2]) } @Test fun testVectorToMatrix() { - val vector = Buffer.real(5) { it.toDouble() } + val vector = RealBuffer(5) { it.toDouble() } val matrix = vector.asMatrix() assertEquals(4.0, matrix[4, 0]) } @Test fun testDot() { - val vector1 = Buffer.real(5) { it.toDouble() } - val vector2 = Buffer.real(5) { 5 - it.toDouble() } + val vector1 = RealBuffer(5) { it.toDouble() } + val vector2 = RealBuffer(5) { 5 - it.toDouble() } val matrix1 = vector1.asMatrix() val matrix2 = vector2.asMatrix().transpose() - val product = MatrixContext.real { matrix1 dot matrix2 } + val product = LinearSpace.real.run { matrix1 dot matrix2 } assertEquals(5.0, product[1, 0]) assertEquals(6.0, product[2, 2]) } diff --git a/kmath-functions/README.md b/kmath-functions/README.md index 0eae4e3c0..29cc68c8e 100644 --- a/kmath-functions/README.md +++ b/kmath-functions/README.md @@ -10,7 +10,7 @@ Functions and interpolations: > #### Artifact: > -> This module artifact: `space.kscience:kmath-functions:0.2.0`. +> This module artifact: `space.kscience:kmath-functions:0.3.0-dev-2`. > > Bintray release version: [ ![Download](https://api.bintray.com/packages/mipt-npm/kscience/kmath-functions/images/download.svg) ](https://bintray.com/mipt-npm/kscience/kmath-functions/_latestVersion) > @@ -29,7 +29,7 @@ Functions and interpolations: > } > > dependencies { -> implementation 'space.kscience:kmath-functions:0.2.0' +> implementation 'space.kscience:kmath-functions:0.3.0-dev-2' > } > ``` > **Gradle Kotlin DSL:** @@ -45,6 +45,6 @@ Functions and interpolations: > } > > dependencies { -> implementation("space.kscience:kmath-functions:0.2.0") +> implementation("space.kscience:kmath-functions:0.3.0-dev-2") > } > ``` diff --git a/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/Histogram.kt b/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/Histogram.kt index 73b34783c..9ee4a6e1e 100644 --- a/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/Histogram.kt +++ b/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/Histogram.kt @@ -2,8 +2,8 @@ package space.kscience.kmath.histogram import space.kscience.kmath.domains.Domain import space.kscience.kmath.linear.Point -import space.kscience.kmath.structures.ArrayBuffer import space.kscience.kmath.structures.RealBuffer +import space.kscience.kmath.structures.asBuffer /** * The binned data element. Could be a histogram bin with a number of counts or an artificial construct @@ -40,7 +40,7 @@ public fun interface HistogramBuilder { public fun > HistogramBuilder.put(point: Point): Unit = putValue(point, 1.0) -public fun HistogramBuilder.put(vararg point: T): Unit = put(ArrayBuffer(point)) +public fun HistogramBuilder.put(vararg point: T): Unit = put(point.asBuffer()) public fun HistogramBuilder.put(vararg point: Number): Unit = put(RealBuffer(point.map { it.toDouble() }.toDoubleArray())) diff --git a/kmath-nd4j/README.md b/kmath-nd4j/README.md index 046c8127f..08f0ae541 100644 --- a/kmath-nd4j/README.md +++ b/kmath-nd4j/README.md @@ -9,7 +9,7 @@ This subproject implements the following features: > #### Artifact: > -> This module artifact: `space.kscience:kmath-nd4j:0.2.0`. +> This module artifact: `space.kscience:kmath-nd4j:0.3.0-dev-2`. > > Bintray release version: [ ![Download](https://api.bintray.com/packages/mipt-npm/kscience/kmath-nd4j/images/download.svg) ](https://bintray.com/mipt-npm/kscience/kmath-nd4j/_latestVersion) > @@ -28,7 +28,7 @@ This subproject implements the following features: > } > > dependencies { -> implementation 'space.kscience:kmath-nd4j:0.2.0' +> implementation 'space.kscience:kmath-nd4j:0.3.0-dev-2' > } > ``` > **Gradle Kotlin DSL:** @@ -44,7 +44,7 @@ This subproject implements the following features: > } > > dependencies { -> implementation("space.kscience:kmath-nd4j:0.2.0") +> implementation("space.kscience:kmath-nd4j:0.3.0-dev-2") > } > ``` diff --git a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/Distribution.kt b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/Distribution.kt index fa38dd9e4..b5b6db1d8 100644 --- a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/Distribution.kt +++ b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/Distribution.kt @@ -4,6 +4,7 @@ import space.kscience.kmath.chains.Chain import space.kscience.kmath.chains.collect import space.kscience.kmath.structures.Buffer import space.kscience.kmath.structures.BufferFactory +import space.kscience.kmath.structures.RealBuffer public interface Sampler { public fun sample(generator: RandomGenerator): Chain @@ -74,4 +75,4 @@ public fun Sampler.sampleBuffer( * Generate a bunch of samples from real distributions */ public fun Sampler.sampleBuffer(generator: RandomGenerator, size: Int): Chain> = - sampleBuffer(generator, size, Buffer.Companion::real) + sampleBuffer(generator, size, ::RealBuffer)