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/.github/workflows/publish.yml b/.github/workflows/publish.yml index 42fa6d3b6..ca374574e 100644 --- a/.github/workflows/publish.yml +++ b/.github/workflows/publish.yml @@ -12,7 +12,7 @@ jobs: name: publish strategy: matrix: - os: [macOS-latest, windows-latest] + os: [ macOS-latest, windows-latest ] runs-on: ${{matrix.os}} steps: - name: Checkout the repo diff --git a/CHANGELOG.md b/CHANGELOG.md index 05c956de3..8b4dddf81 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -4,17 +4,22 @@ ### Added - ScaleOperations interface - Field extends ScaleOperations +- Basic integration API ### Changed - 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 +- NDStructure and NDAlgebra to StructureND and AlgebraND respectively +- Real -> Double ### Deprecated ### Removed - Nearest in Domain. To be implemented in geometry package. - Number multiplication and division in main Algebra chain +- `contentEquals` from Buffer. It moved to the companion. ### Fixed @@ -72,6 +77,7 @@ - `toGrid` method. - Public visibility of `BufferAccessor2D` - `Real` class +- StructureND identity and equals ### Fixed - `symbol` method in `MstExtendedField` (https://github.com/mipt-npm/kmath/pull/140) diff --git a/README.md b/README.md index e9cf64ea0..cc9439d27 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 @@ -89,12 +87,12 @@ KMath is a modular library. Different modules provide different features with di > **Maturity**: PROTOTYPE > > **Features:** -> - [expression-language](kmath-ast/src/jvmMain/kotlin/kscience/kmath/ast/parser.kt) : Expression language and its parser -> - [mst](kmath-ast/src/commonMain/kotlin/kscience/kmath/ast/MST.kt) : MST (Mathematical Syntax Tree) as expression language's syntax intermediate representation -> - [mst-building](kmath-ast/src/commonMain/kotlin/kscience/kmath/ast/MstAlgebra.kt) : MST building algebraic structure -> - [mst-interpreter](kmath-ast/src/commonMain/kotlin/kscience/kmath/ast/MST.kt) : MST interpreter -> - [mst-jvm-codegen](kmath-ast/src/jvmMain/kotlin/kscience/kmath/asm/asm.kt) : Dynamic MST to JVM bytecode compiler -> - [mst-js-codegen](kmath-ast/src/jsMain/kotlin/kscience/kmath/estree/estree.kt) : Dynamic MST to JS compiler +> - [expression-language](kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/ast/parser.kt) : Expression language and its parser +> - [mst](kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/MST.kt) : MST (Mathematical Syntax Tree) as expression language's syntax intermediate representation +> - [mst-building](kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/MstAlgebra.kt) : MST building algebraic structure +> - [mst-interpreter](kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/MST.kt) : MST interpreter +> - [mst-jvm-codegen](kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/asm.kt) : Dynamic MST to JVM bytecode compiler +> - [mst-js-codegen](kmath-ast/src/jsMain/kotlin/space/kscience/kmath/estree/estree.kt) : Dynamic MST to JS compiler
@@ -110,8 +108,8 @@ KMath is a modular library. Different modules provide different features with di > **Maturity**: PROTOTYPE > > **Features:** -> - [complex](kmath-complex/src/commonMain/kotlin/kscience/kmath/complex/Complex.kt) : Complex Numbers -> - [quaternion](kmath-complex/src/commonMain/kotlin/kscience/kmath/complex/Quaternion.kt) : Quaternions +> - [complex](kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/Complex.kt) : Complex Numbers +> - [quaternion](kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/Quaternion.kt) : Quaternions
@@ -121,15 +119,15 @@ KMath is a modular library. Different modules provide different features with di > **Maturity**: DEVELOPMENT > > **Features:** -> - [algebras](kmath-core/src/commonMain/kotlin/kscience/kmath/operations/Algebra.kt) : Algebraic structures like rings, spaces and fields. -> - [nd](kmath-core/src/commonMain/kotlin/kscience/kmath/structures/NDStructure.kt) : Many-dimensional structures and operations on them. -> - [linear](kmath-core/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](kmath-core/src/commonMain/kotlin/kscience/kmath/structures/Buffers.kt) : One-dimensional structure -> - [expressions](kmath-core/src/commonMain/kotlin/kscience/kmath/expressions) : By writing a single mathematical expression once, users will be able to apply different types of +> - [algebras](kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/Algebra.kt) : Algebraic structures like rings, spaces and fields. +> - [nd](kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/StructureND.kt) : Many-dimensional structures and operations on them. +> - [linear](kmath-core/src/commonMain/kotlin/space/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](kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/Buffers.kt) : One-dimensional structure +> - [expressions](kmath-core/src/commonMain/kotlin/space/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](kmath-core/src/commonMain/kotlin/kscience/kmath/domains) : Domains -> - [autodif](kmath-core/src/commonMain/kotlin/kscience/kmath/expressions/SimpleAutoDiff.kt) : Automatic differentiation +> - [domains](kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains) : Domains +> - [autodif](kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/SimpleAutoDiff.kt) : Automatic differentiation
@@ -159,9 +157,9 @@ One can still use generic algebras though. > **Maturity**: EXPERIMENTAL > > **Features:** -> - [RealVector](kmath-for-real/src/commonMain/kotlin/kscience/kmath/real/RealVector.kt) : Numpy-like operations for Buffers/Points -> - [RealMatrix](kmath-for-real/src/commonMain/kotlin/kscience/kmath/real/RealMatrix.kt) : Numpy-like operations for 2d real structures -> - [grids](kmath-for-real/src/commonMain/kotlin/kscience/kmath/structures/grids.kt) : Uniform grid generators +> - [DoubleVector](kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/DoubleVector.kt) : Numpy-like operations for Buffers/Points +> - [DoubleMatrix](kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/DoubleMatrix.kt) : Numpy-like operations for 2d real structures +> - [grids](kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/structures/grids.kt) : Uniform grid generators
@@ -171,10 +169,10 @@ One can still use generic algebras though. > **Maturity**: PROTOTYPE > > **Features:** -> - [piecewise](kmath-functions/Piecewise functions.) : src/commonMain/kotlin/kscience/kmath/functions/Piecewise.kt -> - [polynomials](kmath-functions/Polynomial functions.) : src/commonMain/kotlin/kscience/kmath/functions/Polynomial.kt -> - [linear interpolation](kmath-functions/Linear XY interpolator.) : src/commonMain/kotlin/kscience/kmath/interpolation/LinearInterpolator.kt -> - [spline interpolation](kmath-functions/Cubic spline XY interpolator.) : src/commonMain/kotlin/kscience/kmath/interpolation/SplineInterpolator.kt +> - [piecewise](kmath-functions/Piecewise functions.) : src/commonMain/kotlin/space/kscience/kmath/functions/Piecewise.kt +> - [polynomials](kmath-functions/Polynomial functions.) : src/commonMain/kotlin/space/kscience/kmath/functions/Polynomial.kt +> - [linear interpolation](kmath-functions/Linear XY interpolator.) : src/commonMain/kotlin/space/kscience/kmath/interpolation/LinearInterpolator.kt +> - [spline interpolation](kmath-functions/Cubic spline XY interpolator.) : src/commonMain/kotlin/space/kscience/kmath/interpolation/SplineInterpolator.kt
@@ -208,9 +206,9 @@ One can still use generic algebras though. > **Maturity**: EXPERIMENTAL > > **Features:** -> - [nd4jarraystructure](kmath-nd4j/src/commonMain/kotlin/kscience/kmath/operations/Algebra.kt) : NDStructure wrapper for INDArray -> - [nd4jarrayrings](kmath-nd4j/src/commonMain/kotlin/kscience/kmath/structures/NDStructure.kt) : Rings over Nd4jArrayStructure of Int and Long -> - [nd4jarrayfields](kmath-nd4j/src/commonMain/kotlin/kscience/kmath/structures/Buffers.kt) : Fields over Nd4jArrayStructure of Float and Double +> - [nd4jarraystructure](kmath-nd4j/#) : NDStructure wrapper for INDArray +> - [nd4jarrayrings](kmath-nd4j/#) : Rings over Nd4jArrayStructure of Int and Long +> - [nd4jarrayfields](kmath-nd4j/#) : Fields over Nd4jArrayStructure of Float and Double
@@ -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-3") + // api("kscience.kmath:kmath-core-jvm:0.3.0-dev-3") for jvm-specific version } ``` diff --git a/build.gradle.kts b/build.gradle.kts index 113107f69..5f1a8b88a 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-3" } subprojects { diff --git a/docs/algebra.md b/docs/algebra.md index 6bfcde043..84693bb81 100644 --- a/docs/algebra.md +++ b/docs/algebra.md @@ -31,7 +31,7 @@ multiplication; - [Ring](http://mathworld.wolfram.com/Ring.html) adds multiplication and its neutral element (i.e. 1); - [Field](http://mathworld.wolfram.com/Field.html) adds division operation. -A typical implementation of `Field` is the `RealField` which works on doubles, and `VectorSpace` for `Space`. +A typical implementation of `Field` is the `DoubleField` which works on doubles, and `VectorSpace` for `Space`. In some cases algebra context can hold additional operations like `exp` or `sin`, and then it inherits appropriate interface. Also, contexts may have operations, which produce elements outside of the context. For example, `Matrix.dot` diff --git a/docs/images/KM.svg b/docs/images/KM.svg index 50126cbc5..83af21f35 100644 --- a/docs/images/KM.svg +++ b/docs/images/KM.svg @@ -13,27 +13,30 @@ version="1.1">image/svg+xml + + + image/svg+xml + + image/svg+xml + + + + + image/svg+xml + + + + + + + + + + + + + + + + + + + + + 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..5dd40b609 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 { @@ -105,6 +113,6 @@ tasks.withType { kotlinOptions.jvmTarget = "11" } -readme{ +readme { maturity = ru.mipt.npm.gradle.Maturity.EXPERIMENTAL } diff --git a/examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/BufferBenchmark.kt b/examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/BufferBenchmark.kt index 1c3bbab75..1db1d77dc 100644 --- a/examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/BufferBenchmark.kt +++ b/examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/BufferBenchmark.kt @@ -5,14 +5,14 @@ import kotlinx.benchmark.Scope import kotlinx.benchmark.State import space.kscience.kmath.complex.Complex import space.kscience.kmath.complex.complex +import space.kscience.kmath.structures.DoubleBuffer import space.kscience.kmath.structures.MutableBuffer -import space.kscience.kmath.structures.RealBuffer @State(Scope.Benchmark) internal class BufferBenchmark { @Benchmark - fun genericRealBufferReadWrite() { - val buffer = RealBuffer(size) { it.toDouble() } + fun genericDoubleBufferReadWrite() { + val buffer = DoubleBuffer(size) { it.toDouble() } (0 until size).forEach { buffer[it] 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..6a2126dc1 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.operations.RealField -import space.kscience.kmath.operations.invoke -import space.kscience.kmath.structures.Buffer +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.DoubleField 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(DoubleField).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..0899241f9 100644 --- a/examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/ExpressionsInterpretersBenchmark.kt +++ b/examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/ExpressionsInterpretersBenchmark.kt @@ -10,7 +10,7 @@ import space.kscience.kmath.expressions.Expression import space.kscience.kmath.expressions.expressionInField import space.kscience.kmath.expressions.invoke import space.kscience.kmath.expressions.symbol -import space.kscience.kmath.operations.RealField +import space.kscience.kmath.operations.DoubleField import space.kscience.kmath.operations.bindSymbol import kotlin.random.Random @@ -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) @@ -68,7 +68,7 @@ internal class ExpressionsInterpretersBenchmark { } private companion object { - private val algebra = RealField + private val algebra = DoubleField private val x by symbol } } 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/NDFieldBenchmark.kt b/examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/NDFieldBenchmark.kt index aeee0dafe..09c415d9a 100644 --- a/examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/NDFieldBenchmark.kt +++ b/examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/NDFieldBenchmark.kt @@ -5,7 +5,7 @@ import kotlinx.benchmark.Blackhole import kotlinx.benchmark.Scope import kotlinx.benchmark.State import space.kscience.kmath.nd.* -import space.kscience.kmath.operations.RealField +import space.kscience.kmath.operations.DoubleField import space.kscience.kmath.structures.Buffer @State(Scope.Benchmark) @@ -13,7 +13,7 @@ internal class NDFieldBenchmark { @Benchmark fun autoFieldAdd(blackhole: Blackhole) { with(autoField) { - var res: NDStructure = one + var res: StructureND = one repeat(n) { res += one } blackhole.consume(res) } @@ -22,7 +22,7 @@ internal class NDFieldBenchmark { @Benchmark fun specializedFieldAdd(blackhole: Blackhole) { with(specializedField) { - var res: NDStructure = one + var res: StructureND = one repeat(n) { res += 1.0 } blackhole.consume(res) } @@ -32,7 +32,7 @@ internal class NDFieldBenchmark { @Benchmark fun boxingFieldAdd(blackhole: Blackhole) { with(genericField) { - var res: NDStructure = one + var res: StructureND = one repeat(n) { res += 1.0 } blackhole.consume(res) } @@ -41,8 +41,8 @@ internal class NDFieldBenchmark { private companion object { private const val dim = 1000 private const val n = 100 - private val autoField = NDAlgebra.auto(RealField, dim, dim) - private val specializedField = NDAlgebra.real(dim, dim) - private val genericField = NDAlgebra.field(RealField, Buffer.Companion::boxing, dim, dim) + private val autoField = AlgebraND.auto(DoubleField, dim, dim) + private val specializedField = AlgebraND.real(dim, dim) + private val genericField = AlgebraND.field(DoubleField, Buffer.Companion::boxing, dim, dim) } } diff --git a/examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/ViktorBenchmark.kt b/examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/ViktorBenchmark.kt index c511173a9..fd0188bd6 100644 --- a/examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/ViktorBenchmark.kt +++ b/examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/ViktorBenchmark.kt @@ -5,11 +5,11 @@ import kotlinx.benchmark.Blackhole import kotlinx.benchmark.Scope import kotlinx.benchmark.State import org.jetbrains.bio.viktor.F64Array -import space.kscience.kmath.nd.NDAlgebra -import space.kscience.kmath.nd.NDStructure +import space.kscience.kmath.nd.AlgebraND +import space.kscience.kmath.nd.StructureND import space.kscience.kmath.nd.auto import space.kscience.kmath.nd.real -import space.kscience.kmath.operations.RealField +import space.kscience.kmath.operations.DoubleField import space.kscience.kmath.viktor.ViktorNDField @State(Scope.Benchmark) @@ -17,7 +17,7 @@ internal class ViktorBenchmark { @Benchmark fun automaticFieldAddition(blackhole: Blackhole) { with(autoField) { - var res: NDStructure = one + var res: StructureND = one repeat(n) { res += 1.0 } blackhole.consume(res) } @@ -26,7 +26,7 @@ internal class ViktorBenchmark { @Benchmark fun realFieldAddition(blackhole: Blackhole) { with(realField) { - var res: NDStructure = one + var res: StructureND = one repeat(n) { res += 1.0 } blackhole.consume(res) } @@ -54,8 +54,8 @@ internal class ViktorBenchmark { private const val n = 100 // 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 autoField = AlgebraND.auto(DoubleField, dim, dim) + private val realField = AlgebraND.real(dim, dim) private val viktorField = ViktorNDField(dim, dim) } } 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..b6bd036ba 100644 --- a/examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/ViktorLogBenchmark.kt +++ b/examples/src/benchmarks/kotlin/space/kscience/kmath/benchmarks/ViktorLogBenchmark.kt @@ -5,17 +5,17 @@ import kotlinx.benchmark.Blackhole import kotlinx.benchmark.Scope import kotlinx.benchmark.State import org.jetbrains.bio.viktor.F64Array -import space.kscience.kmath.nd.NDAlgebra +import space.kscience.kmath.nd.AlgebraND import space.kscience.kmath.nd.auto import space.kscience.kmath.nd.real -import space.kscience.kmath.operations.RealField -import space.kscience.kmath.viktor.ViktorNDField +import space.kscience.kmath.operations.DoubleField +import space.kscience.kmath.viktor.ViktorFieldND @State(Scope.Benchmark) 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) } @@ -46,8 +46,8 @@ internal class ViktorLogBenchmark { private const val n = 100 // 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 viktorField = ViktorNDField(intArrayOf(dim, dim)) + private val autoField = AlgebraND.auto(DoubleField, dim, dim) + private val realNdField = AlgebraND.real(dim, dim) + private val viktorField = ViktorFieldND(intArrayOf(dim, dim)) } } diff --git a/examples/src/main/kotlin/space/kscience/kmath/ast/expressions.kt b/examples/src/main/kotlin/space/kscience/kmath/ast/expressions.kt index c342fc3ef..17c85eea5 100644 --- a/examples/src/main/kotlin/space/kscience/kmath/ast/expressions.kt +++ b/examples/src/main/kotlin/space/kscience/kmath/ast/expressions.kt @@ -1,10 +1,10 @@ package space.kscience.kmath.ast import space.kscience.kmath.expressions.invoke -import space.kscience.kmath.operations.RealField +import space.kscience.kmath.operations.DoubleField fun main() { - val expr = RealField.mstInField { + val expr = DoubleField.mstInField { val x = bindSymbol("x") x * 2.0 + number(2.0) / x - 16.0 } diff --git a/examples/src/main/kotlin/space/kscience/kmath/ast/kotlingradSupport.kt b/examples/src/main/kotlin/space/kscience/kmath/ast/kotlingradSupport.kt index 16304a458..23c9d5b41 100644 --- a/examples/src/main/kotlin/space/kscience/kmath/ast/kotlingradSupport.kt +++ b/examples/src/main/kotlin/space/kscience/kmath/ast/kotlingradSupport.kt @@ -5,7 +5,7 @@ import space.kscience.kmath.expressions.derivative import space.kscience.kmath.expressions.invoke import space.kscience.kmath.expressions.symbol import space.kscience.kmath.kotlingrad.differentiable -import space.kscience.kmath.operations.RealField +import space.kscience.kmath.operations.DoubleField /** * In this example, x^2-4*x-44 function is differentiated with Kotlin∇, and the autodiff result is compared with @@ -14,11 +14,11 @@ import space.kscience.kmath.operations.RealField fun main() { val x by symbol - val actualDerivative = MstExpression(RealField, "x^2-4*x-44".parseMath()) + val actualDerivative = MstExpression(DoubleField, "x^2-4*x-44".parseMath()) .differentiable() .derivative(x) .compile() - val expectedDerivative = MstExpression(RealField, "2*x-4".parseMath()).compile() + val expectedDerivative = MstExpression(DoubleField, "2*x-4".parseMath()).compile() assert(actualDerivative("x" to 123.0) == expectedDerivative("x" to 123.0)) } diff --git a/examples/src/main/kotlin/space/kscience/kmath/commons/fit/fitWithAutoDiff.kt b/examples/src/main/kotlin/space/kscience/kmath/commons/fit/fitWithAutoDiff.kt index 63b819dc9..ef0c29a2d 100644 --- a/examples/src/main/kotlin/space/kscience/kmath/commons/fit/fitWithAutoDiff.kt +++ b/examples/src/main/kotlin/space/kscience/kmath/commons/fit/fitWithAutoDiff.kt @@ -8,7 +8,7 @@ import kscience.plotly.models.TraceValues import space.kscience.kmath.commons.optimization.chiSquared import space.kscience.kmath.commons.optimization.minimize import space.kscience.kmath.expressions.symbol -import space.kscience.kmath.real.RealVector +import space.kscience.kmath.real.DoubleVector import space.kscience.kmath.real.map import space.kscience.kmath.real.step import space.kscience.kmath.stat.* @@ -26,7 +26,7 @@ private val c by symbol /** * Shortcut to use buffers in plotly */ -operator fun TraceValues.invoke(vector: RealVector) { +operator fun TraceValues.invoke(vector: DoubleVector) { numbers = vector.asIterable() } @@ -90,10 +90,10 @@ fun main() { } } br() - h3{ + h3 { +"Fit result: $result" } - h3{ + h3 { +"Chi2/dof = ${result.value / (x.size - 3)}" } } 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..8940aeac9 --- /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.DoubleBuffer + +fun main() { + val x0 = DoubleVector(0.0, 0.0, 0.0) + val sigma = DoubleVector(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 DoubleBuffer(x.size) { i -> + val h = sigma[i] / 5 + val dVector = DoubleBuffer(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/operations/ComplexDemo.kt b/examples/src/main/kotlin/space/kscience/kmath/operations/ComplexDemo.kt index 5330d9e40..105fb108e 100644 --- a/examples/src/main/kotlin/space/kscience/kmath/operations/ComplexDemo.kt +++ b/examples/src/main/kotlin/space/kscience/kmath/operations/ComplexDemo.kt @@ -2,17 +2,17 @@ package space.kscience.kmath.operations import space.kscience.kmath.complex.Complex import space.kscience.kmath.complex.complex -import space.kscience.kmath.nd.NDAlgebra +import space.kscience.kmath.nd.AlgebraND fun main() { // 2d element - val element = NDAlgebra.complex(2, 2).produce { (i, j) -> + val element = AlgebraND.complex(2, 2).produce { (i, j) -> Complex(i.toDouble() - j.toDouble(), i.toDouble() + j.toDouble()) } println(element) // 1d element operation - val result = with(NDAlgebra.complex(8)) { + val result = with(AlgebraND.complex(8)) { val a = produce { (it) -> i * it - it.toDouble() } val b = 3 val c = Complex(1.0, 1.0) diff --git a/examples/src/main/kotlin/space/kscience/kmath/structures/ComplexND.kt b/examples/src/main/kotlin/space/kscience/kmath/structures/ComplexND.kt index b8cbc9a57..68af2560b 100644 --- a/examples/src/main/kotlin/space/kscience/kmath/structures/ComplexND.kt +++ b/examples/src/main/kotlin/space/kscience/kmath/structures/ComplexND.kt @@ -4,8 +4,8 @@ package space.kscience.kmath.structures import space.kscience.kmath.complex.* import space.kscience.kmath.linear.transpose -import space.kscience.kmath.nd.NDAlgebra -import space.kscience.kmath.nd.NDStructure +import space.kscience.kmath.nd.AlgebraND +import space.kscience.kmath.nd.StructureND import space.kscience.kmath.nd.as2D import space.kscience.kmath.nd.real import space.kscience.kmath.operations.invoke @@ -15,12 +15,12 @@ fun main() { val dim = 1000 val n = 1000 - val realField = NDAlgebra.real(dim, dim) - val complexField: ComplexNDField = NDAlgebra.complex(dim, dim) + val realField = AlgebraND.real(dim, dim) + val complexField: ComplexFieldND = AlgebraND.complex(dim, dim) val realTime = measureTimeMillis { realField { - var res: NDStructure = one + var res: StructureND = one repeat(n) { res += 1.0 } @@ -31,7 +31,7 @@ fun main() { val complexTime = measureTimeMillis { complexField { - var res: NDStructure = one + var res: StructureND = one repeat(n) { res += 1.0 } diff --git a/examples/src/main/kotlin/space/kscience/kmath/structures/NDField.kt b/examples/src/main/kotlin/space/kscience/kmath/structures/NDField.kt index 10fb3cb3d..f7dc3280a 100644 --- a/examples/src/main/kotlin/space/kscience/kmath/structures/NDField.kt +++ b/examples/src/main/kotlin/space/kscience/kmath/structures/NDField.kt @@ -4,7 +4,7 @@ import kotlinx.coroutines.GlobalScope import org.nd4j.linalg.factory.Nd4j import space.kscience.kmath.nd.* import space.kscience.kmath.nd4j.Nd4jArrayField -import space.kscience.kmath.operations.RealField +import space.kscience.kmath.operations.DoubleField import space.kscience.kmath.operations.invoke import space.kscience.kmath.viktor.ViktorNDField import kotlin.contracts.InvocationKind @@ -24,56 +24,56 @@ fun main() { val n = 1000 // automatically build context most suited for given type. - val autoField = NDAlgebra.auto(RealField, dim, dim) + val autoField = AlgebraND.auto(DoubleField, dim, dim) // specialized nd-field for Double. It works as generic Double field as well - val realField = NDAlgebra.real(dim, dim) + val realField = AlgebraND.real(dim, dim) //A generic boxing field. It should be used for objects, not primitives. - val boxingField = NDAlgebra.field(RealField, Buffer.Companion::boxing, dim, dim) + val boxingField = AlgebraND.field(DoubleField, Buffer.Companion::boxing, dim, dim) // Nd4j specialized field. val nd4jField = Nd4jArrayField.real(dim, dim) //viktor field - val viktorField = ViktorNDField(dim,dim) + val viktorField = ViktorNDField(dim, dim) //parallel processing based on Java Streams - val parallelField = NDAlgebra.realWithStream(dim,dim) + val parallelField = AlgebraND.realWithStream(dim, dim) measureAndPrint("Boxing addition") { boxingField { - var res: NDStructure = one + var res: StructureND = one repeat(n) { res += 1.0 } } } measureAndPrint("Specialized addition") { realField { - var res: NDStructure = one + var res: StructureND = one repeat(n) { res += 1.0 } } } measureAndPrint("Nd4j specialized addition") { nd4jField { - var res: NDStructure = one + var res: StructureND = one repeat(n) { res += 1.0 } } } measureAndPrint("Viktor addition") { viktorField { - var res: NDStructure = one + var res: StructureND = one repeat(n) { res += 1.0 } } } measureAndPrint("Parallel stream addition") { parallelField { - var res: NDStructure = one + var res: StructureND = one repeat(n) { res += 1.0 } } } measureAndPrint("Automatic field addition") { autoField { - var res: NDStructure = one + var res: StructureND = one repeat(n) { res += 1.0 } } } diff --git a/examples/src/main/kotlin/space/kscience/kmath/structures/ParallelRealNDField.kt b/examples/src/main/kotlin/space/kscience/kmath/structures/ParallelRealNDField.kt deleted file mode 100644 index 0c914468d..000000000 --- a/examples/src/main/kotlin/space/kscience/kmath/structures/ParallelRealNDField.kt +++ /dev/null @@ -1,107 +0,0 @@ -package space.kscience.kmath.structures - -import space.kscience.kmath.misc.UnstableKMathAPI -import space.kscience.kmath.nd.* -import space.kscience.kmath.operations.ExtendedField -import space.kscience.kmath.operations.NumbersAddOperations -import space.kscience.kmath.operations.RealField -import java.util.* -import java.util.stream.IntStream - -/** - * A demonstration implementation of NDField over Real using Java [DoubleStream] for parallel execution - */ -@OptIn(UnstableKMathAPI::class) -class StreamRealNDField( - override val shape: IntArray, -) : NDField, - NumbersAddOperations>, - ExtendedField> { - - private val strides = DefaultStrides(shape) - override val elementContext: RealField get() = RealField - override val zero: NDBuffer by lazy { produce { zero } } - override val one: NDBuffer by lazy { produce { one } } - - override fun number(value: Number): NDBuffer { - val d = value.toDouble() // minimize conversions - return produce { d } - } - - private val NDStructure.buffer: RealBuffer - get() = when { - !shape.contentEquals(this@StreamRealNDField.shape) -> throw ShapeMismatchException( - this@StreamRealNDField.shape, - shape - ) - this is NDBuffer && this.strides == this@StreamRealNDField.strides -> this.buffer as RealBuffer - else -> RealBuffer(strides.linearSize) { offset -> get(strides.index(offset)) } - } - - - override fun produce(initializer: RealField.(IntArray) -> Double): NDBuffer { - val array = IntStream.range(0, strides.linearSize).parallel().mapToDouble { offset -> - val index = strides.index(offset) - RealField.initializer(index) - }.toArray() - - return NDBuffer(strides, array.asBuffer()) - } - - override fun NDStructure.map( - transform: RealField.(Double) -> Double, - ): NDBuffer { - val array = Arrays.stream(buffer.array).parallel().map { RealField.transform(it) }.toArray() - return NDBuffer(strides, array.asBuffer()) - } - - override fun NDStructure.mapIndexed( - transform: RealField.(index: IntArray, Double) -> Double, - ): NDBuffer { - val array = IntStream.range(0, strides.linearSize).parallel().mapToDouble { offset -> - RealField.transform( - strides.index(offset), - buffer.array[offset] - ) - }.toArray() - - return NDBuffer(strides, array.asBuffer()) - } - - override fun combine( - a: NDStructure, - b: NDStructure, - transform: RealField.(Double, Double) -> Double, - ): NDBuffer { - val array = IntStream.range(0, strides.linearSize).parallel().mapToDouble { offset -> - RealField.transform(a.buffer.array[offset], b.buffer.array[offset]) - }.toArray() - return NDBuffer(strides, array.asBuffer()) - } - - override fun NDStructure.unaryMinus(): NDStructure = map { -it } - - override fun scale(a: NDStructure, value: Double): NDStructure = a.map { it * value } - - override fun power(arg: NDStructure, pow: Number): NDBuffer = arg.map { power(it, pow) } - - override fun exp(arg: NDStructure): NDBuffer = arg.map { exp(it) } - - override fun ln(arg: NDStructure): NDBuffer = arg.map { ln(it) } - - override fun sin(arg: NDStructure): NDBuffer = arg.map { sin(it) } - override fun cos(arg: NDStructure): NDBuffer = arg.map { cos(it) } - override fun tan(arg: NDStructure): NDBuffer = arg.map { tan(it) } - override fun asin(arg: NDStructure): NDBuffer = arg.map { asin(it) } - override fun acos(arg: NDStructure): NDBuffer = arg.map { acos(it) } - override fun atan(arg: NDStructure): NDBuffer = arg.map { atan(it) } - - override fun sinh(arg: NDStructure): NDBuffer = arg.map { sinh(it) } - override fun cosh(arg: NDStructure): NDBuffer = arg.map { cosh(it) } - override fun tanh(arg: NDStructure): NDBuffer = arg.map { tanh(it) } - override fun asinh(arg: NDStructure): NDBuffer = arg.map { asinh(it) } - override fun acosh(arg: NDStructure): NDBuffer = arg.map { acosh(it) } - override fun atanh(arg: NDStructure): NDBuffer = arg.map { atanh(it) } -} - -fun NDAlgebra.Companion.realWithStream(vararg shape: Int): StreamRealNDField = StreamRealNDField(shape) \ No newline at end of file diff --git a/examples/src/main/kotlin/space/kscience/kmath/structures/StreamDoubleFieldND.kt b/examples/src/main/kotlin/space/kscience/kmath/structures/StreamDoubleFieldND.kt new file mode 100644 index 000000000..6741209fc --- /dev/null +++ b/examples/src/main/kotlin/space/kscience/kmath/structures/StreamDoubleFieldND.kt @@ -0,0 +1,107 @@ +package space.kscience.kmath.structures + +import space.kscience.kmath.misc.UnstableKMathAPI +import space.kscience.kmath.nd.* +import space.kscience.kmath.operations.DoubleField +import space.kscience.kmath.operations.ExtendedField +import space.kscience.kmath.operations.NumbersAddOperations +import java.util.* +import java.util.stream.IntStream + +/** + * A demonstration implementation of NDField over Real using Java [DoubleStream] for parallel execution + */ +@OptIn(UnstableKMathAPI::class) +class StreamDoubleFieldND( + override val shape: IntArray, +) : FieldND, + NumbersAddOperations>, + ExtendedField> { + + private val strides = DefaultStrides(shape) + override val elementContext: DoubleField get() = DoubleField + override val zero: BufferND by lazy { produce { zero } } + override val one: BufferND by lazy { produce { one } } + + override fun number(value: Number): BufferND { + val d = value.toDouble() // minimize conversions + return produce { d } + } + + private val StructureND.buffer: DoubleBuffer + get() = when { + !shape.contentEquals(this@StreamDoubleFieldND.shape) -> throw ShapeMismatchException( + this@StreamDoubleFieldND.shape, + shape + ) + this is BufferND && this.strides == this@StreamDoubleFieldND.strides -> this.buffer as DoubleBuffer + else -> DoubleBuffer(strides.linearSize) { offset -> get(strides.index(offset)) } + } + + + override fun produce(initializer: DoubleField.(IntArray) -> Double): BufferND { + val array = IntStream.range(0, strides.linearSize).parallel().mapToDouble { offset -> + val index = strides.index(offset) + DoubleField.initializer(index) + }.toArray() + + return BufferND(strides, array.asBuffer()) + } + + override fun StructureND.map( + transform: DoubleField.(Double) -> Double, + ): BufferND { + val array = Arrays.stream(buffer.array).parallel().map { DoubleField.transform(it) }.toArray() + return BufferND(strides, array.asBuffer()) + } + + override fun StructureND.mapIndexed( + transform: DoubleField.(index: IntArray, Double) -> Double, + ): BufferND { + val array = IntStream.range(0, strides.linearSize).parallel().mapToDouble { offset -> + DoubleField.transform( + strides.index(offset), + buffer.array[offset] + ) + }.toArray() + + return BufferND(strides, array.asBuffer()) + } + + override fun combine( + a: StructureND, + b: StructureND, + transform: DoubleField.(Double, Double) -> Double, + ): BufferND { + val array = IntStream.range(0, strides.linearSize).parallel().mapToDouble { offset -> + DoubleField.transform(a.buffer.array[offset], b.buffer.array[offset]) + }.toArray() + return BufferND(strides, array.asBuffer()) + } + + override fun StructureND.unaryMinus(): StructureND = map { -it } + + override fun scale(a: StructureND, value: Double): StructureND = a.map { it * value } + + override fun power(arg: StructureND, pow: Number): BufferND = arg.map { power(it, pow) } + + override fun exp(arg: StructureND): BufferND = arg.map { exp(it) } + + override fun ln(arg: StructureND): BufferND = arg.map { ln(it) } + + override fun sin(arg: StructureND): BufferND = arg.map { sin(it) } + override fun cos(arg: StructureND): BufferND = arg.map { cos(it) } + override fun tan(arg: StructureND): BufferND = arg.map { tan(it) } + override fun asin(arg: StructureND): BufferND = arg.map { asin(it) } + override fun acos(arg: StructureND): BufferND = arg.map { acos(it) } + override fun atan(arg: StructureND): BufferND = arg.map { atan(it) } + + override fun sinh(arg: StructureND): BufferND = arg.map { sinh(it) } + override fun cosh(arg: StructureND): BufferND = arg.map { cosh(it) } + override fun tanh(arg: StructureND): BufferND = arg.map { tanh(it) } + override fun asinh(arg: StructureND): BufferND = arg.map { asinh(it) } + override fun acosh(arg: StructureND): BufferND = arg.map { acosh(it) } + override fun atanh(arg: StructureND): BufferND = arg.map { atanh(it) } +} + +fun AlgebraND.Companion.realWithStream(vararg shape: Int): StreamDoubleFieldND = StreamDoubleFieldND(shape) \ No newline at end of file diff --git a/examples/src/main/kotlin/space/kscience/kmath/structures/StructureReadBenchmark.kt b/examples/src/main/kotlin/space/kscience/kmath/structures/StructureReadBenchmark.kt index 7f6d73394..1c8a923c7 100644 --- a/examples/src/main/kotlin/space/kscience/kmath/structures/StructureReadBenchmark.kt +++ b/examples/src/main/kotlin/space/kscience/kmath/structures/StructureReadBenchmark.kt @@ -1,16 +1,16 @@ package space.kscience.kmath.structures +import space.kscience.kmath.nd.BufferND import space.kscience.kmath.nd.DefaultStrides -import space.kscience.kmath.nd.NDBuffer import kotlin.system.measureTimeMillis @Suppress("ASSIGNED_BUT_NEVER_ACCESSED_VARIABLE") fun main() { val n = 6000 val array = DoubleArray(n * n) { 1.0 } - val buffer = RealBuffer(array) + val buffer = DoubleBuffer(array) val strides = DefaultStrides(intArrayOf(n, n)) - val structure = NDBuffer(strides, buffer) + val structure = BufferND(strides, buffer) measureTimeMillis { var res = 0.0 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..27741be61 100644 --- a/examples/src/main/kotlin/space/kscience/kmath/structures/StructureWriteBenchmark.kt +++ b/examples/src/main/kotlin/space/kscience/kmath/structures/StructureWriteBenchmark.kt @@ -1,13 +1,13 @@ package space.kscience.kmath.structures -import space.kscience.kmath.nd.NDStructure +import space.kscience.kmath.nd.StructureND import space.kscience.kmath.nd.mapToBuffer 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 = StructureND.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") @@ -20,10 +20,10 @@ fun main() { println("Array mapping finished in $time2 millis") - val buffer = RealBuffer(DoubleArray(n * n) { 1.0 }) + val buffer = DoubleBuffer(DoubleArray(n * n) { 1.0 }) val time3 = measureTimeMillis { - val target = RealBuffer(DoubleArray(n * n)) + val target = DoubleBuffer(DoubleArray(n * n)) val res = array.forEachIndexed { index, value -> target[index] = value + 1 } 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..ee14604d2 100644 --- a/kmath-ast/README.md +++ b/kmath-ast/README.md @@ -2,17 +2,17 @@ This subproject implements the following features: - - [expression-language](src/jvmMain/kotlin/kscience/kmath/ast/parser.kt) : Expression language and its parser - - [mst](src/commonMain/kotlin/kscience/kmath/ast/MST.kt) : MST (Mathematical Syntax Tree) as expression language's syntax intermediate representation - - [mst-building](src/commonMain/kotlin/kscience/kmath/ast/MstAlgebra.kt) : MST building algebraic structure - - [mst-interpreter](src/commonMain/kotlin/kscience/kmath/ast/MST.kt) : MST interpreter - - [mst-jvm-codegen](src/jvmMain/kotlin/kscience/kmath/asm/asm.kt) : Dynamic MST to JVM bytecode compiler - - [mst-js-codegen](src/jsMain/kotlin/kscience/kmath/estree/estree.kt) : Dynamic MST to JS compiler + - [expression-language](src/jvmMain/kotlin/space/kscience/kmath/ast/parser.kt) : Expression language and its parser + - [mst](src/commonMain/kotlin/space/kscience/kmath/ast/MST.kt) : MST (Mathematical Syntax Tree) as expression language's syntax intermediate representation + - [mst-building](src/commonMain/kotlin/space/kscience/kmath/ast/MstAlgebra.kt) : MST building algebraic structure + - [mst-interpreter](src/commonMain/kotlin/space/kscience/kmath/ast/MST.kt) : MST interpreter + - [mst-jvm-codegen](src/jvmMain/kotlin/space/kscience/kmath/asm/asm.kt) : Dynamic MST to JVM bytecode compiler + - [mst-js-codegen](src/jsMain/kotlin/space/kscience/kmath/estree/estree.kt) : Dynamic MST to JS compiler > #### Artifact: > -> This module artifact: `space.kscience:kmath-ast:0.2.0`. +> This module artifact: `space.kscience:kmath-ast:0.3.0-dev-3`. > > 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) > @@ -25,13 +25,10 @@ This subproject implements the following features: > 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-ast:0.2.0' +> implementation 'space.kscience:kmath-ast:0.3.0-dev-3' > } > ``` > **Gradle Kotlin DSL:** @@ -41,13 +38,10 @@ This subproject implements the following features: > 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-ast:0.2.0") +> implementation("space.kscience:kmath-ast:0.3.0-dev-3") > } > ``` @@ -61,10 +55,10 @@ a special implementation of `Expression` with implemented `invoke` function. For example, the following builder: ```kotlin -RealField.mstInField { symbol("x") + 2 }.compile() +DoubleField.mstInField { symbol("x") + 2 }.compile() ``` -… leads to generation of bytecode, which can be decompiled to the following Java class: +… leads to generation of bytecode, which can be decompiled to the following Java class: ```java package space.kscience.kmath.asm.generated; @@ -94,8 +88,8 @@ public final class AsmCompiledExpression_45045_0 implements Expression { This API extends MST and MstExpression, so you may optimize as both of them: ```kotlin -RealField.mstInField { symbol("x") + 2 }.compile() -RealField.expression("x+2".parseMath()) +DoubleField.mstInField { symbol("x") + 2 }.compile() +DoubleField.expression("x+2".parseMath()) ``` #### Known issues @@ -109,7 +103,7 @@ RealField.expression("x+2".parseMath()) A similar feature is also available on JS. ```kotlin -RealField.mstInField { symbol("x") + 2 }.compile() +DoubleField.mstInField { symbol("x") + 2 }.compile() ``` The code above returns expression implemented with such a JS function: diff --git a/kmath-ast/build.gradle.kts b/kmath-ast/build.gradle.kts index 5b764459c..e3a7faf0a 100644 --- a/kmath-ast/build.gradle.kts +++ b/kmath-ast/build.gradle.kts @@ -58,36 +58,36 @@ readme { feature( id = "expression-language", description = "Expression language and its parser", - ref = "src/jvmMain/kotlin/kscience/kmath/ast/parser.kt" + ref = "src/jvmMain/kotlin/space/kscience/kmath/ast/parser.kt" ) feature( id = "mst", description = "MST (Mathematical Syntax Tree) as expression language's syntax intermediate representation", - ref = "src/commonMain/kotlin/kscience/kmath/ast/MST.kt" + ref = "src/commonMain/kotlin/space/kscience/kmath/ast/MST.kt" ) feature( id = "mst-building", description = "MST building algebraic structure", - ref = "src/commonMain/kotlin/kscience/kmath/ast/MstAlgebra.kt" + ref = "src/commonMain/kotlin/space/kscience/kmath/ast/MstAlgebra.kt" ) feature( id = "mst-interpreter", description = "MST interpreter", - ref = "src/commonMain/kotlin/kscience/kmath/ast/MST.kt" + ref = "src/commonMain/kotlin/space/kscience/kmath/ast/MST.kt" ) feature( id = "mst-jvm-codegen", description = "Dynamic MST to JVM bytecode compiler", - ref = "src/jvmMain/kotlin/kscience/kmath/asm/asm.kt" + ref = "src/jvmMain/kotlin/space/kscience/kmath/asm/asm.kt" ) feature( id = "mst-js-codegen", description = "Dynamic MST to JS compiler", - ref = "src/jsMain/kotlin/kscience/kmath/estree/estree.kt" + ref = "src/jsMain/kotlin/space/kscience/kmath/estree/estree.kt" ) } diff --git a/kmath-ast/docs/README-TEMPLATE.md b/kmath-ast/docs/README-TEMPLATE.md index 2712cba75..80e48008b 100644 --- a/kmath-ast/docs/README-TEMPLATE.md +++ b/kmath-ast/docs/README-TEMPLATE.md @@ -16,7 +16,7 @@ a special implementation of `Expression` with implemented `invoke` function. For example, the following builder: ```kotlin -RealField.mstInField { symbol("x") + 2 }.compile() +DoubleField.mstInField { symbol("x") + 2 }.compile() ``` … leads to generation of bytecode, which can be decompiled to the following Java class: @@ -49,8 +49,8 @@ public final class AsmCompiledExpression_45045_0 implements Expression { This API extends MST and MstExpression, so you may optimize as both of them: ```kotlin -RealField.mstInField { symbol("x") + 2 }.compile() -RealField.expression("x+2".parseMath()) +DoubleField.mstInField { symbol("x") + 2 }.compile() +DoubleField.expression("x+2".parseMath()) ``` #### Known issues @@ -64,7 +64,7 @@ RealField.expression("x+2".parseMath()) A similar feature is also available on JS. ```kotlin -RealField.mstInField { symbol("x") + 2 }.compile() +DoubleField.mstInField { symbol("x") + 2 }.compile() ``` The code above returns expression implemented with such a JS function: 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..c1aeae90e 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 @@ -50,11 +50,11 @@ public object MstGroup : Group, NumericAlgebra, ScaleOperations { */ @OptIn(UnstableKMathAPI::class) public object MstRing : Ring, NumbersAddOperations, ScaleOperations { - public override val zero: MST.Numeric get() = MstGroup.zero + public override val zero: MST.Numeric get() = MstGroup.zero public override val one: MST.Numeric = number(1.0) public override fun number(value: Number): MST.Numeric = MstGroup.number(value) - public override fun bindSymbol(value: String): MST.Symbolic = MstGroup.bindSymbol(value) + public override fun bindSymbol(value: String): MST.Symbolic = MstAlgebra.bindSymbol(value) public override fun add(a: MST, b: MST): MST.Binary = MstGroup.add(a, b) public override fun scale(a: MST, value: Double): MST.Binary = @@ -83,7 +83,7 @@ public object MstField : Field, 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-ast/src/jsTest/kotlin/space/kscience/kmath/estree/TestESTreeConsistencyWithInterpreter.kt b/kmath-ast/src/jsTest/kotlin/space/kscience/kmath/estree/TestESTreeConsistencyWithInterpreter.kt index bb34254b1..683c0337c 100644 --- a/kmath-ast/src/jsTest/kotlin/space/kscience/kmath/estree/TestESTreeConsistencyWithInterpreter.kt +++ b/kmath-ast/src/jsTest/kotlin/space/kscience/kmath/estree/TestESTreeConsistencyWithInterpreter.kt @@ -5,7 +5,7 @@ import space.kscience.kmath.complex.ComplexField import space.kscience.kmath.complex.toComplex import space.kscience.kmath.expressions.invoke import space.kscience.kmath.operations.ByteRing -import space.kscience.kmath.operations.RealField +import space.kscience.kmath.operations.DoubleField import kotlin.test.Test import kotlin.test.assertEquals @@ -73,7 +73,7 @@ internal class TestESTreeConsistencyWithInterpreter { @Test fun realField() { - val res1 = RealField.mstInField { + val res1 = DoubleField.mstInField { +(3 - 2 + 2 * number(1) + 1.0) + binaryOperationFunction("+")( (3.0 - (bindSymbol("x") + (scale(add(number(1.0), number(1.0)), 2.0) + 1.0))) * 3 - 1.0 + number(1), @@ -81,7 +81,7 @@ internal class TestESTreeConsistencyWithInterpreter { ) + zero }("x" to 2.0) - val res2 = RealField.mstInField { + val res2 = DoubleField.mstInField { +(3 - 2 + 2 * number(1) + 1.0) + binaryOperationFunction("+")( (3.0 - (bindSymbol("x") + (scale(add(number(1.0), number(1.0)), 2.0) + 1.0))) * 3 - 1.0 + number(1), diff --git a/kmath-ast/src/jsTest/kotlin/space/kscience/kmath/estree/TestESTreeOperationsSupport.kt b/kmath-ast/src/jsTest/kotlin/space/kscience/kmath/estree/TestESTreeOperationsSupport.kt index 27bf2f167..d59c048b6 100644 --- a/kmath-ast/src/jsTest/kotlin/space/kscience/kmath/estree/TestESTreeOperationsSupport.kt +++ b/kmath-ast/src/jsTest/kotlin/space/kscience/kmath/estree/TestESTreeOperationsSupport.kt @@ -4,7 +4,7 @@ import space.kscience.kmath.ast.mstInExtendedField import space.kscience.kmath.ast.mstInField import space.kscience.kmath.ast.mstInGroup import space.kscience.kmath.expressions.invoke -import space.kscience.kmath.operations.RealField +import space.kscience.kmath.operations.DoubleField import kotlin.random.Random import kotlin.test.Test import kotlin.test.assertEquals @@ -12,27 +12,29 @@ import kotlin.test.assertEquals internal class TestESTreeOperationsSupport { @Test fun testUnaryOperationInvocation() { - val expression = RealField.mstInGroup { -bindSymbol("x") }.compile() + val expression = DoubleField.mstInGroup { -bindSymbol("x") }.compile() val res = expression("x" to 2.0) assertEquals(-2.0, res) } @Test fun testBinaryOperationInvocation() { - val expression = RealField.mstInGroup { -bindSymbol("x") + number(1.0) }.compile() + val expression = DoubleField.mstInGroup { -bindSymbol("x") + number(1.0) }.compile() val res = expression("x" to 2.0) assertEquals(-1.0, res) } @Test fun testConstProductInvocation() { - val res = RealField.mstInField { bindSymbol("x") * 2 }("x" to 2.0) + val res = DoubleField.mstInField { bindSymbol("x") * 2 }("x" to 2.0) assertEquals(4.0, res) } @Test fun testMultipleCalls() { - val e = RealField.mstInExtendedField { sin(bindSymbol("x")).pow(4) - 6 * bindSymbol("x") / tanh(bindSymbol("x")) }.compile() + val e = + DoubleField.mstInExtendedField { sin(bindSymbol("x")).pow(4) - 6 * bindSymbol("x") / tanh(bindSymbol("x")) } + .compile() val r = Random(0) var s = 0.0 repeat(1000000) { s += e("x" to r.nextDouble()) } diff --git a/kmath-ast/src/jsTest/kotlin/space/kscience/kmath/estree/TestESTreeSpecialization.kt b/kmath-ast/src/jsTest/kotlin/space/kscience/kmath/estree/TestESTreeSpecialization.kt index c5e43241a..6be963175 100644 --- a/kmath-ast/src/jsTest/kotlin/space/kscience/kmath/estree/TestESTreeSpecialization.kt +++ b/kmath-ast/src/jsTest/kotlin/space/kscience/kmath/estree/TestESTreeSpecialization.kt @@ -2,50 +2,50 @@ package space.kscience.kmath.estree import space.kscience.kmath.ast.mstInField import space.kscience.kmath.expressions.invoke -import space.kscience.kmath.operations.RealField +import space.kscience.kmath.operations.DoubleField import kotlin.test.Test import kotlin.test.assertEquals internal class TestESTreeSpecialization { @Test fun testUnaryPlus() { - val expr = RealField.mstInField { unaryOperationFunction("+")(bindSymbol("x")) }.compile() + val expr = DoubleField.mstInField { unaryOperationFunction("+")(bindSymbol("x")) }.compile() assertEquals(2.0, expr("x" to 2.0)) } @Test fun testUnaryMinus() { - val expr = RealField.mstInField { unaryOperationFunction("-")(bindSymbol("x")) }.compile() + val expr = DoubleField.mstInField { unaryOperationFunction("-")(bindSymbol("x")) }.compile() assertEquals(-2.0, expr("x" to 2.0)) } @Test fun testAdd() { - val expr = RealField.mstInField { binaryOperationFunction("+")(bindSymbol("x"), bindSymbol("x")) }.compile() + val expr = DoubleField.mstInField { binaryOperationFunction("+")(bindSymbol("x"), bindSymbol("x")) }.compile() assertEquals(4.0, expr("x" to 2.0)) } @Test fun testSine() { - val expr = RealField.mstInField { unaryOperationFunction("sin")(bindSymbol("x")) }.compile() + val expr = DoubleField.mstInField { unaryOperationFunction("sin")(bindSymbol("x")) }.compile() assertEquals(0.0, expr("x" to 0.0)) } @Test fun testMinus() { - val expr = RealField.mstInField { binaryOperationFunction("-")(bindSymbol("x"), bindSymbol("x")) }.compile() + val expr = DoubleField.mstInField { binaryOperationFunction("-")(bindSymbol("x"), bindSymbol("x")) }.compile() assertEquals(0.0, expr("x" to 2.0)) } @Test fun testDivide() { - val expr = RealField.mstInField { binaryOperationFunction("/")(bindSymbol("x"), bindSymbol("x")) }.compile() + val expr = DoubleField.mstInField { binaryOperationFunction("/")(bindSymbol("x"), bindSymbol("x")) }.compile() assertEquals(1.0, expr("x" to 2.0)) } @Test fun testPower() { - val expr = RealField + val expr = DoubleField .mstInField { binaryOperationFunction("pow")(bindSymbol("x"), number(2)) } .compile() diff --git a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/codegenUtils.kt b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/codegenUtils.kt index 1124a860f..4522c966f 100644 --- a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/codegenUtils.kt +++ b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/codegenUtils.kt @@ -86,7 +86,7 @@ internal inline fun ClassWriter.visitField( descriptor: String, signature: String?, value: Any?, - block: FieldVisitor.() -> Unit + block: FieldVisitor.() -> Unit, ): FieldVisitor { contract { callsInPlace(block, InvocationKind.EXACTLY_ONCE) } return visitField(access, name, descriptor, signature, value).apply(block) diff --git a/kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/asm/TestAsmConsistencyWithInterpreter.kt b/kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/asm/TestAsmConsistencyWithInterpreter.kt index 7cc1497d0..abc320360 100644 --- a/kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/asm/TestAsmConsistencyWithInterpreter.kt +++ b/kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/asm/TestAsmConsistencyWithInterpreter.kt @@ -5,7 +5,7 @@ import space.kscience.kmath.complex.ComplexField import space.kscience.kmath.complex.toComplex import space.kscience.kmath.expressions.invoke import space.kscience.kmath.operations.ByteRing -import space.kscience.kmath.operations.RealField +import space.kscience.kmath.operations.DoubleField import kotlin.test.Test import kotlin.test.assertEquals @@ -73,7 +73,7 @@ internal class TestAsmConsistencyWithInterpreter { @Test fun realField() { - val res1 = RealField.mstInField { + val res1 = DoubleField.mstInField { +(3 - 2 + 2 * number(1) + 1.0) + binaryOperationFunction("+")( (3.0 - (bindSymbol("x") + (scale(add(number(1.0), number(1.0)), 2.0) + 1.0))) * 3 - 1.0 + number(1), @@ -81,7 +81,7 @@ internal class TestAsmConsistencyWithInterpreter { ) + zero }("x" to 2.0) - val res2 = RealField.mstInField { + val res2 = DoubleField.mstInField { +(3 - 2 + 2 * number(1) + 1.0) + binaryOperationFunction("+")( (3.0 - (bindSymbol("x") + (scale(add(number(1.0), number(1.0)), 2.0) + 1.0))) * 3 - 1.0 + number(1), diff --git a/kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/asm/TestAsmOperationsSupport.kt b/kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/asm/TestAsmOperationsSupport.kt index e99075f07..5d70cb76b 100644 --- a/kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/asm/TestAsmOperationsSupport.kt +++ b/kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/asm/TestAsmOperationsSupport.kt @@ -4,7 +4,7 @@ import space.kscience.kmath.ast.mstInExtendedField import space.kscience.kmath.ast.mstInField import space.kscience.kmath.ast.mstInGroup import space.kscience.kmath.expressions.invoke -import space.kscience.kmath.operations.RealField +import space.kscience.kmath.operations.DoubleField import kotlin.random.Random import kotlin.test.Test import kotlin.test.assertEquals @@ -12,27 +12,29 @@ import kotlin.test.assertEquals internal class TestAsmOperationsSupport { @Test fun testUnaryOperationInvocation() { - val expression = RealField.mstInGroup { -bindSymbol("x") }.compile() + val expression = DoubleField.mstInGroup { -bindSymbol("x") }.compile() val res = expression("x" to 2.0) assertEquals(-2.0, res) } @Test fun testBinaryOperationInvocation() { - val expression = RealField.mstInGroup { -bindSymbol("x") + number(1.0) }.compile() + val expression = DoubleField.mstInGroup { -bindSymbol("x") + number(1.0) }.compile() val res = expression("x" to 2.0) assertEquals(-1.0, res) } @Test fun testConstProductInvocation() { - val res = RealField.mstInField { bindSymbol("x") * 2 }("x" to 2.0) + val res = DoubleField.mstInField { bindSymbol("x") * 2 }("x" to 2.0) assertEquals(4.0, res) } @Test fun testMultipleCalls() { - val e = RealField.mstInExtendedField { sin(bindSymbol("x")).pow(4) - 6 * bindSymbol("x") / tanh(bindSymbol("x")) }.compile() + val e = + DoubleField.mstInExtendedField { sin(bindSymbol("x")).pow(4) - 6 * bindSymbol("x") / tanh(bindSymbol("x")) } + .compile() val r = Random(0) var s = 0.0 repeat(1000000) { s += e("x" to r.nextDouble()) } diff --git a/kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/asm/TestAsmSpecialization.kt b/kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/asm/TestAsmSpecialization.kt index a214ca4ad..f485260c9 100644 --- a/kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/asm/TestAsmSpecialization.kt +++ b/kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/asm/TestAsmSpecialization.kt @@ -2,50 +2,50 @@ package space.kscience.kmath.asm import space.kscience.kmath.ast.mstInField import space.kscience.kmath.expressions.invoke -import space.kscience.kmath.operations.RealField +import space.kscience.kmath.operations.DoubleField import kotlin.test.Test import kotlin.test.assertEquals internal class TestAsmSpecialization { @Test fun testUnaryPlus() { - val expr = RealField.mstInField { unaryOperationFunction("+")(bindSymbol("x")) }.compile() + val expr = DoubleField.mstInField { unaryOperationFunction("+")(bindSymbol("x")) }.compile() assertEquals(2.0, expr("x" to 2.0)) } @Test fun testUnaryMinus() { - val expr = RealField.mstInField { unaryOperationFunction("-")(bindSymbol("x")) }.compile() + val expr = DoubleField.mstInField { unaryOperationFunction("-")(bindSymbol("x")) }.compile() assertEquals(-2.0, expr("x" to 2.0)) } @Test fun testAdd() { - val expr = RealField.mstInField { binaryOperationFunction("+")(bindSymbol("x"), bindSymbol("x")) }.compile() + val expr = DoubleField.mstInField { binaryOperationFunction("+")(bindSymbol("x"), bindSymbol("x")) }.compile() assertEquals(4.0, expr("x" to 2.0)) } @Test fun testSine() { - val expr = RealField.mstInField { unaryOperationFunction("sin")(bindSymbol("x")) }.compile() + val expr = DoubleField.mstInField { unaryOperationFunction("sin")(bindSymbol("x")) }.compile() assertEquals(0.0, expr("x" to 0.0)) } @Test fun testMinus() { - val expr = RealField.mstInField { binaryOperationFunction("-")(bindSymbol("x"), bindSymbol("x")) }.compile() + val expr = DoubleField.mstInField { binaryOperationFunction("-")(bindSymbol("x"), bindSymbol("x")) }.compile() assertEquals(0.0, expr("x" to 2.0)) } @Test fun testDivide() { - val expr = RealField.mstInField { binaryOperationFunction("/")(bindSymbol("x"), bindSymbol("x")) }.compile() + val expr = DoubleField.mstInField { binaryOperationFunction("/")(bindSymbol("x"), bindSymbol("x")) }.compile() assertEquals(1.0, expr("x" to 2.0)) } @Test fun testPower() { - val expr = RealField + val expr = DoubleField .mstInField { binaryOperationFunction("pow")(bindSymbol("x"), number(2)) } .compile() diff --git a/kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/ast/ParserPrecedenceTest.kt b/kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/ast/ParserPrecedenceTest.kt index 7153f4bfc..1450cab84 100644 --- a/kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/ast/ParserPrecedenceTest.kt +++ b/kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/ast/ParserPrecedenceTest.kt @@ -1,12 +1,12 @@ package space.kscience.kmath.ast +import space.kscience.kmath.operations.DoubleField import space.kscience.kmath.operations.Field -import space.kscience.kmath.operations.RealField import kotlin.test.Test import kotlin.test.assertEquals internal class ParserPrecedenceTest { - private val f: Field = RealField + private val f: Field = DoubleField @Test fun test1(): Unit = assertEquals(6.0, f.evaluate("2*2+2".parseMath())) diff --git a/kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/ast/ParserTest.kt b/kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/ast/ParserTest.kt index 6807d5c5d..3d5449043 100644 --- a/kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/ast/ParserTest.kt +++ b/kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/ast/ParserTest.kt @@ -4,7 +4,7 @@ import space.kscience.kmath.complex.Complex import space.kscience.kmath.complex.ComplexField import space.kscience.kmath.expressions.invoke import space.kscience.kmath.operations.Algebra -import space.kscience.kmath.operations.RealField +import space.kscience.kmath.operations.DoubleField import kotlin.test.Test import kotlin.test.assertEquals @@ -33,7 +33,7 @@ internal class ParserTest { @Test fun `evaluate MST with unary function`() { val mst = "sin(0)".parseMath() - val res = RealField.evaluate(mst) + val res = DoubleField.evaluate(mst) assertEquals(0.0, res) } diff --git a/kmath-commons/build.gradle.kts b/kmath-commons/build.gradle.kts index 4fe16605a..56dcef29a 100644 --- a/kmath-commons/build.gradle.kts +++ b/kmath-commons/build.gradle.kts @@ -12,6 +12,6 @@ dependencies { api("org.apache.commons:commons-math3:3.6.1") } -readme{ +readme { maturity = ru.mipt.npm.gradle.Maturity.EXPERIMENTAL } \ No newline at end of file diff --git a/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/integration/CMIntegrator.kt b/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/integration/CMIntegrator.kt new file mode 100644 index 000000000..e1ba7d777 --- /dev/null +++ b/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/integration/CMIntegrator.kt @@ -0,0 +1,92 @@ +package space.kscience.kmath.commons.integration + +import org.apache.commons.math3.analysis.integration.IterativeLegendreGaussIntegrator +import org.apache.commons.math3.analysis.integration.SimpsonIntegrator +import space.kscience.kmath.integration.* +import space.kscience.kmath.misc.UnstableKMathAPI + +/** + * Integration wrapper for Common-maths UnivariateIntegrator + */ +public class CMIntegrator( + private val defaultMaxCalls: Int = 200, + public val integratorBuilder: (Integrand) -> org.apache.commons.math3.analysis.integration.UnivariateIntegrator, +) : UnivariateIntegrator { + + public class TargetRelativeAccuracy(public val value: Double) : IntegrandFeature + public class TargetAbsoluteAccuracy(public val value: Double) : IntegrandFeature + + public class MinIterations(public val value: Int) : IntegrandFeature + public class MaxIterations(public val value: Int) : IntegrandFeature + + override fun integrate(integrand: UnivariateIntegrand): UnivariateIntegrand { + val integrator = integratorBuilder(integrand) + val maxCalls = integrand.getFeature()?.maxCalls ?: defaultMaxCalls + val remainingCalls = maxCalls - integrand.calls + val range = integrand.getFeature>()?.range + ?: error("Integration range is not provided") + val res = integrator.integrate(remainingCalls, integrand.function, range.start, range.endInclusive) + + return integrand + + IntegrandValue(res) + + IntegrandAbsoluteAccuracy(integrator.absoluteAccuracy) + + IntegrandRelativeAccuracy(integrator.relativeAccuracy) + + IntegrandCalls(integrator.evaluations + integrand.calls) + } + + + public companion object { + /** + * Create a Simpson integrator based on [SimpsonIntegrator] + */ + public fun simpson(defaultMaxCalls: Int = 200): CMIntegrator = CMIntegrator(defaultMaxCalls) { integrand -> + val absoluteAccuracy = integrand.getFeature()?.value + ?: SimpsonIntegrator.DEFAULT_ABSOLUTE_ACCURACY + val relativeAccuracy = integrand.getFeature()?.value + ?: SimpsonIntegrator.DEFAULT_ABSOLUTE_ACCURACY + val minIterations = integrand.getFeature()?.value + ?: SimpsonIntegrator.DEFAULT_MIN_ITERATIONS_COUNT + val maxIterations = integrand.getFeature()?.value + ?: SimpsonIntegrator.SIMPSON_MAX_ITERATIONS_COUNT + + SimpsonIntegrator(relativeAccuracy, absoluteAccuracy, minIterations, maxIterations) + } + + /** + * Create a Gauss-Legandre integrator based on [IterativeLegendreGaussIntegrator] + */ + public fun legandre(numPoints: Int, defaultMaxCalls: Int = numPoints * 5): CMIntegrator = + CMIntegrator(defaultMaxCalls) { integrand -> + val absoluteAccuracy = integrand.getFeature()?.value + ?: IterativeLegendreGaussIntegrator.DEFAULT_ABSOLUTE_ACCURACY + val relativeAccuracy = integrand.getFeature()?.value + ?: IterativeLegendreGaussIntegrator.DEFAULT_ABSOLUTE_ACCURACY + val minIterations = integrand.getFeature()?.value + ?: IterativeLegendreGaussIntegrator.DEFAULT_MIN_ITERATIONS_COUNT + val maxIterations = integrand.getFeature()?.value + ?: IterativeLegendreGaussIntegrator.DEFAULT_MAX_ITERATIONS_COUNT + + IterativeLegendreGaussIntegrator( + numPoints, + relativeAccuracy, + absoluteAccuracy, + minIterations, + maxIterations + ) + } + } +} + +@UnstableKMathAPI +public var MutableList.targetAbsoluteAccuracy: Double? + get() = filterIsInstance().lastOrNull()?.value + set(value) { + value?.let { add(CMIntegrator.TargetAbsoluteAccuracy(value)) } + } + +@UnstableKMathAPI +public var MutableList.targetRelativeAccuracy: Double? + get() = filterIsInstance().lastOrNull()?.value + set(value) { + value?.let { add(CMIntegrator.TargetRelativeAccuracy(value)) } + } \ No newline at end of file diff --git a/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/integration/GaussRuleIntegrator.kt b/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/integration/GaussRuleIntegrator.kt new file mode 100644 index 000000000..5a18756ac --- /dev/null +++ b/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/integration/GaussRuleIntegrator.kt @@ -0,0 +1,94 @@ +/* + * Copyright 2015 Alexander Nozik. + * + * Licensed under the Apache License, Version 2.0 (the "License"); + * you may not use this file except in compliance with the License. + * You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, software + * distributed under the License is distributed on an "AS IS" BASIS, + * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. + * See the License for the specific language governing permissions and + * limitations under the License. + */ +package space.kscience.kmath.commons.integration + +import org.apache.commons.math3.analysis.integration.gauss.GaussIntegrator +import org.apache.commons.math3.analysis.integration.gauss.GaussIntegratorFactory +import space.kscience.kmath.integration.* + +/** + * A simple one-pass integrator based on Gauss rule + */ +public class GaussRuleIntegrator( + private val numpoints: Int, + private var type: GaussRule = GaussRule.LEGANDRE, +) : UnivariateIntegrator { + + override fun integrate(integrand: UnivariateIntegrand): UnivariateIntegrand { + val range = integrand.getFeature>()?.range + ?: error("Integration range is not provided") + val integrator: GaussIntegrator = getIntegrator(range) + //TODO check performance + val res: Double = integrator.integrate(integrand.function) + return integrand + IntegrandValue(res) + IntegrandCalls(integrand.calls + numpoints) + } + + private fun getIntegrator(range: ClosedRange): GaussIntegrator { + return when (type) { + GaussRule.LEGANDRE -> factory.legendre( + numpoints, + range.start, + range.endInclusive + ) + GaussRule.LEGANDREHP -> factory.legendreHighPrecision( + numpoints, + range.start, + range.endInclusive + ) + GaussRule.UNIFORM -> GaussIntegrator( + getUniformRule( + range.start, + range.endInclusive, + numpoints + ) + ) + } + } + + private fun getUniformRule( + min: Double, + max: Double, + numPoints: Int, + ): org.apache.commons.math3.util.Pair { + assert(numPoints > 2) + val points = DoubleArray(numPoints) + val weights = DoubleArray(numPoints) + val step = (max - min) / (numPoints - 1) + points[0] = min + for (i in 1 until numPoints) { + points[i] = points[i - 1] + step + weights[i] = step + } + return org.apache.commons.math3.util.Pair(points, weights) + } + + public enum class GaussRule { + UNIFORM, LEGANDRE, LEGANDREHP + } + + public companion object { + private val factory: GaussIntegratorFactory = GaussIntegratorFactory() + + public fun integrate( + range: ClosedRange, + numPoints: Int = 100, + type: GaussRule = GaussRule.LEGANDRE, + function: (Double) -> Double, + ): Double = GaussRuleIntegrator(numPoints, type).integrate( + UnivariateIntegrand(function, IntegrationRange(range)) + ).value!! + } +} \ No newline at end of file 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..89e9649e9 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 @@ -3,7 +3,8 @@ 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.structures.RealBuffer +import space.kscience.kmath.operations.DoubleField +import space.kscience.kmath.structures.DoubleBuffer import kotlin.reflect.KClass import kotlin.reflect.cast @@ -11,51 +12,10 @@ public inline 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) } - -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 +23,17 @@ 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: DoubleField get() = DoubleField + + public override fun buildMatrix( + rows: Int, + columns: Int, + initializer: DoubleField.(i: Int, j: Int) -> Double, + ): CMMatrix { + val array = Array(rows) { i -> DoubleArray(columns) { j -> DoubleField.initializer(i, j) } } return CMMatrix(Array2DRowRealMatrix(array)) } @@ -82,40 +43,98 @@ 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: DoubleField.(Int) -> Double): Point = + ArrayRealVector(DoubleArray(size) { DoubleField.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 { DoubleBuffer(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..b4706473a 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 @@ -12,9 +12,9 @@ public enum class CMDecomposition { CHOLESKY } -public fun CMMatrixContext.solver( +public fun CMLinearSpace.solver( a: Matrix, - decomposition: CMDecomposition = CMDecomposition.LUP + decomposition: CMDecomposition = CMDecomposition.LUP, ): DecompositionSolver = when (decomposition) { CMDecomposition.LUP -> LUDecomposition(a.toCM().origin).solver CMDecomposition.RRQR -> RRQRDecomposition(a.toCM().origin).solver @@ -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() + decomposition: CMDecomposition = CMDecomposition.LUP, +): 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 + 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() + decomposition: CMDecomposition = CMDecomposition.LUP, +): CMMatrix = solver(a, decomposition).inverse.wrap() diff --git a/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/optimization/CMOptimizationProblem.kt b/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/optimization/CMOptimizationProblem.kt index d655b4f61..13a10475f 100644 --- a/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/optimization/CMOptimizationProblem.kt +++ b/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/optimization/CMOptimizationProblem.kt @@ -19,7 +19,7 @@ import kotlin.reflect.KClass public operator fun PointValuePair.component1(): DoubleArray = point public operator fun PointValuePair.component2(): Double = value -public class CMOptimizationProblem(override val symbols: List, ) : +public class CMOptimizationProblem(override val symbols: List) : OptimizationProblem, SymbolIndexer, OptimizationFeature { private val optimizationData: HashMap, OptimizationData> = HashMap() private var optimizatorBuilder: (() -> MultivariateOptimizer)? = null diff --git a/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/transform/Transformations.kt b/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/transform/Transformations.kt index e174a237f..010ea7e9f 100644 --- a/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/transform/Transformations.kt +++ b/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/transform/Transformations.kt @@ -10,6 +10,7 @@ import space.kscience.kmath.streaming.spread import space.kscience.kmath.structures.* + /** * Streaming and buffer transformations */ @@ -17,7 +18,7 @@ public object Transformations { private fun Buffer.toArray(): Array = Array(size) { org.apache.commons.math3.complex.Complex(get(it).re, get(it).im) } - private fun Buffer.asArray() = if (this is RealBuffer) { + private fun Buffer.asArray() = if (this is DoubleBuffer) { array } else { DoubleArray(size) { i -> get(i) } @@ -33,34 +34,34 @@ public object Transformations { public fun fourier( normalization: DftNormalization = DftNormalization.STANDARD, - direction: TransformType = TransformType.FORWARD + direction: TransformType = TransformType.FORWARD, ): SuspendBufferTransform = { FastFourierTransformer(normalization).transform(it.toArray(), direction).asBuffer() } public fun realFourier( normalization: DftNormalization = DftNormalization.STANDARD, - direction: TransformType = TransformType.FORWARD + direction: TransformType = TransformType.FORWARD, ): SuspendBufferTransform = { FastFourierTransformer(normalization).transform(it.asArray(), direction).asBuffer() } public fun sine( normalization: DstNormalization = DstNormalization.STANDARD_DST_I, - direction: TransformType = TransformType.FORWARD + direction: TransformType = TransformType.FORWARD, ): SuspendBufferTransform = { FastSineTransformer(normalization).transform(it.asArray(), direction).asBuffer() } public fun cosine( normalization: DctNormalization = DctNormalization.STANDARD_DCT_I, - direction: TransformType = TransformType.FORWARD + direction: TransformType = TransformType.FORWARD, ): SuspendBufferTransform = { FastCosineTransformer(normalization).transform(it.asArray(), direction).asBuffer() } public fun hadamard( - direction: TransformType = TransformType.FORWARD + direction: TransformType = TransformType.FORWARD, ): SuspendBufferTransform = { FastHadamardTransformer().transform(it.asArray(), direction).asBuffer() } @@ -72,7 +73,7 @@ public object Transformations { @FlowPreview public fun Flow>.FFT( normalization: DftNormalization = DftNormalization.STANDARD, - direction: TransformType = TransformType.FORWARD + direction: TransformType = TransformType.FORWARD, ): Flow> { val transform = Transformations.fourier(normalization, direction) return map { transform(it) } @@ -82,7 +83,7 @@ public fun Flow>.FFT( @JvmName("realFFT") public fun Flow>.FFT( normalization: DftNormalization = DftNormalization.STANDARD, - direction: TransformType = TransformType.FORWARD + direction: TransformType = TransformType.FORWARD, ): Flow> { val transform = Transformations.realFourier(normalization, direction) return map(transform) @@ -96,7 +97,7 @@ public fun Flow>.FFT( public fun Flow.FFT( bufferSize: Int = Int.MAX_VALUE, normalization: DftNormalization = DftNormalization.STANDARD, - direction: TransformType = TransformType.FORWARD + direction: TransformType = TransformType.FORWARD, ): Flow = chunked(bufferSize).FFT(normalization, direction).spread() /** diff --git a/kmath-commons/src/test/kotlin/space/kscience/kmath/commons/expressions/DerivativeStructureExpressionTest.kt b/kmath-commons/src/test/kotlin/space/kscience/kmath/commons/expressions/DerivativeStructureExpressionTest.kt index 19b6e28da..8d9bab652 100644 --- a/kmath-commons/src/test/kotlin/space/kscience/kmath/commons/expressions/DerivativeStructureExpressionTest.kt +++ b/kmath-commons/src/test/kotlin/space/kscience/kmath/commons/expressions/DerivativeStructureExpressionTest.kt @@ -27,10 +27,10 @@ internal class AutoDiffTest { val y = bindSymbol("y") val z = x * (-sin(x * y) + y) + 2.0 println(z.derivative(x)) - println(z.derivative(y,x)) + println(z.derivative(y, x)) assertEquals(z.derivative(x, y), z.derivative(y, x)) //check that improper order cause failure - assertFails { z.derivative(x,x,y) } + assertFails { z.derivative(x, x, y) } } } diff --git a/kmath-commons/src/test/kotlin/space/kscience/kmath/commons/integration/IntegrationTest.kt b/kmath-commons/src/test/kotlin/space/kscience/kmath/commons/integration/IntegrationTest.kt new file mode 100644 index 000000000..d163203f7 --- /dev/null +++ b/kmath-commons/src/test/kotlin/space/kscience/kmath/commons/integration/IntegrationTest.kt @@ -0,0 +1,30 @@ +package space.kscience.kmath.commons.integration + +import org.junit.jupiter.api.Test +import space.kscience.kmath.integration.integrate +import space.kscience.kmath.misc.UnstableKMathAPI +import space.kscience.kmath.operations.DoubleField.sin +import kotlin.math.PI +import kotlin.math.abs +import kotlin.test.assertTrue + +@UnstableKMathAPI +internal class IntegrationTest { + private val function: (Double) -> Double = { sin(it) } + + @Test + fun simpson() { + val res = CMIntegrator.simpson().integrate(0.0..2 * PI, function) + assertTrue { abs(res) < 1e-3 } + } + + @Test + fun customSimpson() { + val res = CMIntegrator.simpson().integrate(0.0..PI, function) { + targetRelativeAccuracy = 1e-4 + targetAbsoluteAccuracy = 1e-4 + } + assertTrue { abs(res - 2) < 1e-3 } + assertTrue { abs(res - 2) > 1e-12 } + } +} \ No newline at end of file diff --git a/kmath-complex/README.md b/kmath-complex/README.md index 71a75bd3e..9e9cd5b6f 100644 --- a/kmath-complex/README.md +++ b/kmath-complex/README.md @@ -2,13 +2,13 @@ Complex and hypercomplex number systems in KMath: - - [complex](src/commonMain/kotlin/kscience/kmath/complex/Complex.kt) : Complex Numbers - - [quaternion](src/commonMain/kotlin/kscience/kmath/complex/Quaternion.kt) : Quaternions + - [complex](src/commonMain/kotlin/space/kscience/kmath/complex/Complex.kt) : Complex Numbers + - [quaternion](src/commonMain/kotlin/space/kscience/kmath/complex/Quaternion.kt) : Quaternions > #### Artifact: > -> This module artifact: `space.kscience:kmath-complex:0.2.0`. +> This module artifact: `space.kscience:kmath-complex:0.3.0-dev-3`. > > 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) > @@ -21,13 +21,10 @@ Complex and hypercomplex number systems in KMath: > 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-complex:0.2.0' +> implementation 'space.kscience:kmath-complex:0.3.0-dev-3' > } > ``` > **Gradle Kotlin DSL:** @@ -37,12 +34,9 @@ Complex and hypercomplex number systems in KMath: > 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-complex:0.2.0") +> implementation("space.kscience:kmath-complex:0.3.0-dev-3") > } > ``` diff --git a/kmath-complex/build.gradle.kts b/kmath-complex/build.gradle.kts index 4cd43c70c..5b9dc3ba0 100644 --- a/kmath-complex/build.gradle.kts +++ b/kmath-complex/build.gradle.kts @@ -25,12 +25,12 @@ readme { feature( id = "complex", description = "Complex Numbers", - ref = "src/commonMain/kotlin/kscience/kmath/complex/Complex.kt" + ref = "src/commonMain/kotlin/space/kscience/kmath/complex/Complex.kt" ) feature( id = "quaternion", description = "Quaternions", - ref = "src/commonMain/kotlin/kscience/kmath/complex/Quaternion.kt" + ref = "src/commonMain/kotlin/space/kscience/kmath/complex/Quaternion.kt" ) } diff --git a/kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/ComplexNDField.kt b/kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/ComplexFieldND.kt similarity index 55% rename from kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/ComplexNDField.kt rename to kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/ComplexFieldND.kt index 382659e10..d11f2b7db 100644 --- a/kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/ComplexNDField.kt +++ b/kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/ComplexFieldND.kt @@ -1,10 +1,10 @@ package space.kscience.kmath.complex import space.kscience.kmath.misc.UnstableKMathAPI -import space.kscience.kmath.nd.BufferedNDField -import space.kscience.kmath.nd.NDAlgebra -import space.kscience.kmath.nd.NDBuffer -import space.kscience.kmath.nd.NDStructure +import space.kscience.kmath.nd.AlgebraND +import space.kscience.kmath.nd.BufferND +import space.kscience.kmath.nd.BufferedFieldND +import space.kscience.kmath.nd.StructureND import space.kscience.kmath.operations.ExtendedField import space.kscience.kmath.operations.NumbersAddOperations import space.kscience.kmath.structures.Buffer @@ -16,16 +16,16 @@ import kotlin.contracts.contract * An optimized nd-field for complex numbers */ @OptIn(UnstableKMathAPI::class) -public class ComplexNDField( +public class ComplexFieldND( shape: IntArray, -) : BufferedNDField(shape, ComplexField, Buffer.Companion::complex), - NumbersAddOperations>, - ExtendedField> { +) : BufferedFieldND(shape, ComplexField, Buffer.Companion::complex), + NumbersAddOperations>, + ExtendedField> { - override val zero: NDBuffer by lazy { produce { zero } } - override val one: NDBuffer by lazy { produce { one } } + override val zero: BufferND by lazy { produce { zero } } + override val one: BufferND by lazy { produce { one } } - override fun number(value: Number): NDBuffer { + override fun number(value: Number): BufferND { val d = value.toComplex() // minimize conversions return produce { d } } @@ -34,15 +34,15 @@ public class ComplexNDField( // @Suppress("OVERRIDE_BY_INLINE") // override inline fun map( // arg: AbstractNDBuffer, -// transform: RealField.(Double) -> Double, +// transform: DoubleField.(Double) -> Double, // ): RealNDElement { // check(arg) -// val array = RealBuffer(arg.strides.linearSize) { offset -> RealField.transform(arg.buffer[offset]) } +// val array = RealBuffer(arg.strides.linearSize) { offset -> DoubleField.transform(arg.buffer[offset]) } // return BufferedNDFieldElement(this, array) // } // // @Suppress("OVERRIDE_BY_INLINE") -// override inline fun produce(initializer: RealField.(IntArray) -> Double): RealNDElement { +// override inline fun produce(initializer: DoubleField.(IntArray) -> Double): RealNDElement { // val array = RealBuffer(strides.linearSize) { offset -> elementContext.initializer(strides.index(offset)) } // return BufferedNDFieldElement(this, array) // } @@ -50,7 +50,7 @@ public class ComplexNDField( // @Suppress("OVERRIDE_BY_INLINE") // override inline fun mapIndexed( // arg: AbstractNDBuffer, -// transform: RealField.(index: IntArray, Double) -> Double, +// transform: DoubleField.(index: IntArray, Double) -> Double, // ): RealNDElement { // check(arg) // return BufferedNDFieldElement( @@ -67,7 +67,7 @@ public class ComplexNDField( // override inline fun combine( // a: AbstractNDBuffer, // b: AbstractNDBuffer, -// transform: RealField.(Double, Double) -> Double, +// transform: DoubleField.(Double, Double) -> Double, // ): RealNDElement { // check(a, b) // val buffer = RealBuffer(strides.linearSize) { offset -> @@ -76,44 +76,44 @@ public class ComplexNDField( // return BufferedNDFieldElement(this, buffer) // } - override fun power(arg: NDStructure, pow: Number): NDBuffer = arg.map { power(it, pow) } + override fun power(arg: StructureND, pow: Number): BufferND = arg.map { power(it, pow) } - override fun exp(arg: NDStructure): NDBuffer = arg.map { exp(it) } + override fun exp(arg: StructureND): BufferND = arg.map { exp(it) } - override fun ln(arg: NDStructure): NDBuffer = arg.map { ln(it) } + override fun ln(arg: StructureND): BufferND = arg.map { ln(it) } - override fun sin(arg: NDStructure): NDBuffer = arg.map { sin(it) } - override fun cos(arg: NDStructure): NDBuffer = arg.map { cos(it) } - override fun tan(arg: NDStructure): NDBuffer = arg.map { tan(it) } - override fun asin(arg: NDStructure): NDBuffer = arg.map { asin(it) } - override fun acos(arg: NDStructure): NDBuffer = arg.map { acos(it) } - override fun atan(arg: NDStructure): NDBuffer = arg.map { atan(it) } + override fun sin(arg: StructureND): BufferND = arg.map { sin(it) } + override fun cos(arg: StructureND): BufferND = arg.map { cos(it) } + override fun tan(arg: StructureND): BufferND = arg.map { tan(it) } + override fun asin(arg: StructureND): BufferND = arg.map { asin(it) } + override fun acos(arg: StructureND): BufferND = arg.map { acos(it) } + override fun atan(arg: StructureND): BufferND = arg.map { atan(it) } - override fun sinh(arg: NDStructure): NDBuffer = arg.map { sinh(it) } - override fun cosh(arg: NDStructure): NDBuffer = arg.map { cosh(it) } - override fun tanh(arg: NDStructure): NDBuffer = arg.map { tanh(it) } - override fun asinh(arg: NDStructure): NDBuffer = arg.map { asinh(it) } - override fun acosh(arg: NDStructure): NDBuffer = arg.map { acosh(it) } - override fun atanh(arg: NDStructure): NDBuffer = arg.map { atanh(it) } + override fun sinh(arg: StructureND): BufferND = arg.map { sinh(it) } + override fun cosh(arg: StructureND): BufferND = arg.map { cosh(it) } + override fun tanh(arg: StructureND): BufferND = arg.map { tanh(it) } + override fun asinh(arg: StructureND): BufferND = arg.map { asinh(it) } + override fun acosh(arg: StructureND): BufferND = arg.map { acosh(it) } + override fun atanh(arg: StructureND): BufferND = arg.map { atanh(it) } } /** * Fast element production using function inlining */ -public inline fun BufferedNDField.produceInline(initializer: ComplexField.(Int) -> Complex): NDBuffer { +public inline fun BufferedFieldND.produceInline(initializer: ComplexField.(Int) -> Complex): BufferND { contract { callsInPlace(initializer, InvocationKind.EXACTLY_ONCE) } val buffer = Buffer.complex(strides.linearSize) { offset -> ComplexField.initializer(offset) } - return NDBuffer(strides, buffer) + return BufferND(strides, buffer) } -public fun NDAlgebra.Companion.complex(vararg shape: Int): ComplexNDField = ComplexNDField(shape) +public fun AlgebraND.Companion.complex(vararg shape: Int): ComplexFieldND = ComplexFieldND(shape) /** * Produce a context for n-dimensional operations inside this real field */ -public inline fun ComplexField.nd(vararg shape: Int, action: ComplexNDField.() -> R): R { +public inline fun ComplexField.nd(vararg shape: Int, action: ComplexFieldND.() -> R): R { contract { callsInPlace(action, InvocationKind.EXACTLY_ONCE) } - return ComplexNDField(shape).action() + return ComplexFieldND(shape).action() } diff --git a/kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/Quaternion.kt b/kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/Quaternion.kt index d391aff18..9a0346ca7 100644 --- a/kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/Quaternion.kt +++ b/kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/Quaternion.kt @@ -172,7 +172,7 @@ public object QuaternionField : Field, Norm, else -> super.bindSymbol(value) } - override fun number(value: Number): Quaternion =value.toQuaternion() + override fun number(value: Number): Quaternion = value.toQuaternion() public override fun sinh(arg: Quaternion): Quaternion = (exp(arg) - exp(-arg)) / 2.0 public override fun cosh(arg: Quaternion): Quaternion = (exp(arg) + exp(-arg)) / 2.0 diff --git a/kmath-core/README.md b/kmath-core/README.md new file mode 100644 index 000000000..4e4b5273d --- /dev/null +++ b/kmath-core/README.md @@ -0,0 +1,49 @@ +# The Core Module (`kmath-core`) + +The core features of KMath: + + - [algebras](src/commonMain/kotlin/space/kscience/kmath/operations/Algebra.kt) : Algebraic structures like rings, spaces and fields. + - [nd](src/commonMain/kotlin/space/kscience/kmath/structures/StructureND.kt) : Many-dimensional structures and operations on them. + - [linear](src/commonMain/kotlin/space/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/space/kscience/kmath/structures/Buffers.kt) : One-dimensional structure + - [expressions](src/commonMain/kotlin/space/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/space/kscience/kmath/domains) : Domains + - [autodif](src/commonMain/kotlin/space/kscience/kmath/expressions/SimpleAutoDiff.kt) : Automatic differentiation + + +> #### Artifact: +> +> This module artifact: `space.kscience:kmath-core:0.3.0-dev-3`. +> +> 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 +> } +> +> dependencies { +> implementation 'space.kscience:kmath-core:0.3.0-dev-3' +> } +> ``` +> **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 +> } +> +> dependencies { +> implementation("space.kscience:kmath-core:0.3.0-dev-3") +> } +> ``` diff --git a/kmath-core/api/kmath-core.api b/kmath-core/api/kmath-core.api index 8b30e4c05..04325379e 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 { @@ -684,29 +584,26 @@ public final class space/kscience/kmath/linear/MatrixFeaturesKt { public final class space/kscience/kmath/linear/MatrixWrapper : space/kscience/kmath/nd/Structure2D { 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 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; } 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 +615,6 @@ 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$Companion;)Lspace/kscience/kmath/linear/RealMatrixContext; -} - public abstract interface class space/kscience/kmath/linear/SingularValueDecompositionFeature : space/kscience/kmath/linear/MatrixFeature { public abstract fun getS ()Lspace/kscience/kmath/nd/Structure2D; public abstract fun getSingularValues ()Lspace/kscience/kmath/structures/Buffer; @@ -784,55 +635,18 @@ public final class space/kscience/kmath/linear/UnitFeature : space/kscience/kmat public static final field INSTANCE Lspace/kscience/kmath/linear/UnitFeature; } -public abstract interface class space/kscience/kmath/linear/VectorSpace : space/kscience/kmath/operations/Group, space/kscience/kmath/operations/ScaleOperations { - public static final field Companion Lspace/kscience/kmath/linear/VectorSpace$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; - public fun equals (Ljava/lang/Object;)Z 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 } public final class space/kscience/kmath/linear/ZeroFeature : space/kscience/kmath/linear/DiagonalFeature { @@ -861,115 +675,144 @@ public final class space/kscience/kmath/misc/CumulativeKt { public abstract interface annotation class space/kscience/kmath/misc/UnstableKMathAPI : java/lang/annotation/Annotation { } -public abstract interface class space/kscience/kmath/nd/BufferNDAlgebra : space/kscience/kmath/nd/NDAlgebra { - public abstract fun combine (Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;Lkotlin/jvm/functions/Function3;)Lspace/kscience/kmath/nd/NDBuffer; - public abstract fun getBuffer (Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/structures/Buffer; +public abstract interface class space/kscience/kmath/nd/AlgebraND { + public static final field Companion Lspace/kscience/kmath/nd/AlgebraND$Companion; + public abstract fun combine (Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;Lkotlin/jvm/functions/Function3;)Lspace/kscience/kmath/nd/StructureND; + public abstract fun getElementContext ()Lspace/kscience/kmath/operations/Algebra; + public abstract fun getShape ()[I + public abstract fun invoke (Lkotlin/jvm/functions/Function1;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public abstract fun map (Lspace/kscience/kmath/nd/StructureND;Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/StructureND; + public abstract fun mapIndexed (Lspace/kscience/kmath/nd/StructureND;Lkotlin/jvm/functions/Function3;)Lspace/kscience/kmath/nd/StructureND; + public abstract fun produce (Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/StructureND; +} + +public final class space/kscience/kmath/nd/AlgebraND$Companion { +} + +public final class space/kscience/kmath/nd/AlgebraND$DefaultImpls { + public static fun invoke (Lspace/kscience/kmath/nd/AlgebraND;Lkotlin/jvm/functions/Function1;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; +} + +public abstract interface class space/kscience/kmath/nd/BufferAlgebraND : space/kscience/kmath/nd/AlgebraND { + public abstract fun combine (Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;Lkotlin/jvm/functions/Function3;)Lspace/kscience/kmath/nd/BufferND; + public abstract fun getBuffer (Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/structures/Buffer; public abstract fun getBufferFactory ()Lkotlin/jvm/functions/Function2; public abstract fun getStrides ()Lspace/kscience/kmath/nd/Strides; - public abstract fun map (Lspace/kscience/kmath/nd/NDStructure;Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/NDBuffer; - public abstract fun mapIndexed (Lspace/kscience/kmath/nd/NDStructure;Lkotlin/jvm/functions/Function3;)Lspace/kscience/kmath/nd/NDBuffer; - public abstract fun produce (Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/NDBuffer; + public abstract fun map (Lspace/kscience/kmath/nd/StructureND;Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/BufferND; + public abstract fun mapIndexed (Lspace/kscience/kmath/nd/StructureND;Lkotlin/jvm/functions/Function3;)Lspace/kscience/kmath/nd/BufferND; + public abstract fun produce (Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/BufferND; } -public final class space/kscience/kmath/nd/BufferNDAlgebra$DefaultImpls { - public static fun combine (Lspace/kscience/kmath/nd/BufferNDAlgebra;Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;Lkotlin/jvm/functions/Function3;)Lspace/kscience/kmath/nd/NDBuffer; - public static fun getBuffer (Lspace/kscience/kmath/nd/BufferNDAlgebra;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/structures/Buffer; - public static fun invoke (Lspace/kscience/kmath/nd/BufferNDAlgebra;Lkotlin/jvm/functions/Function1;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public static fun map (Lspace/kscience/kmath/nd/BufferNDAlgebra;Lspace/kscience/kmath/nd/NDStructure;Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/NDBuffer; - public static fun mapIndexed (Lspace/kscience/kmath/nd/BufferNDAlgebra;Lspace/kscience/kmath/nd/NDStructure;Lkotlin/jvm/functions/Function3;)Lspace/kscience/kmath/nd/NDBuffer; - public static fun produce (Lspace/kscience/kmath/nd/BufferNDAlgebra;Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/NDBuffer; +public final class space/kscience/kmath/nd/BufferAlgebraND$DefaultImpls { + public static fun combine (Lspace/kscience/kmath/nd/BufferAlgebraND;Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;Lkotlin/jvm/functions/Function3;)Lspace/kscience/kmath/nd/BufferND; + public static fun getBuffer (Lspace/kscience/kmath/nd/BufferAlgebraND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/structures/Buffer; + public static fun invoke (Lspace/kscience/kmath/nd/BufferAlgebraND;Lkotlin/jvm/functions/Function1;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public static fun map (Lspace/kscience/kmath/nd/BufferAlgebraND;Lspace/kscience/kmath/nd/StructureND;Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/BufferND; + public static fun mapIndexed (Lspace/kscience/kmath/nd/BufferAlgebraND;Lspace/kscience/kmath/nd/StructureND;Lkotlin/jvm/functions/Function3;)Lspace/kscience/kmath/nd/BufferND; + public static fun produce (Lspace/kscience/kmath/nd/BufferAlgebraND;Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/BufferND; } -public final class space/kscience/kmath/nd/BufferNDAlgebraKt { - public static final fun field (Lspace/kscience/kmath/nd/NDAlgebra$Companion;Lspace/kscience/kmath/operations/Field;Lkotlin/jvm/functions/Function2;[I)Lspace/kscience/kmath/nd/BufferedNDField; +public final class space/kscience/kmath/nd/BufferAlgebraNDKt { + public static final fun field (Lspace/kscience/kmath/nd/AlgebraND$Companion;Lspace/kscience/kmath/operations/Field;Lkotlin/jvm/functions/Function2;[I)Lspace/kscience/kmath/nd/BufferedFieldND; + public static final fun group (Lspace/kscience/kmath/nd/AlgebraND$Companion;Lspace/kscience/kmath/operations/Group;Lkotlin/jvm/functions/Function2;[I)Lspace/kscience/kmath/nd/BufferedGroupND; 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 static final fun ring (Lspace/kscience/kmath/nd/AlgebraND$Companion;Lspace/kscience/kmath/operations/Ring;Lkotlin/jvm/functions/Function2;[I)Lspace/kscience/kmath/nd/BufferedRingND; } -public class space/kscience/kmath/nd/BufferedNDField : space/kscience/kmath/nd/BufferedNDRing, space/kscience/kmath/nd/NDField { +public final class space/kscience/kmath/nd/BufferND : space/kscience/kmath/nd/StructureND { + public fun (Lspace/kscience/kmath/nd/Strides;Lspace/kscience/kmath/structures/Buffer;)V + public fun elements ()Lkotlin/sequences/Sequence; + public fun get ([I)Ljava/lang/Object; + public final fun getBuffer ()Lspace/kscience/kmath/structures/Buffer; + public fun getDimension ()I + public fun getShape ()[I + public final fun getStrides ()Lspace/kscience/kmath/nd/Strides; + public fun toString ()Ljava/lang/String; +} + +public class space/kscience/kmath/nd/BufferedFieldND : space/kscience/kmath/nd/BufferedRingND, space/kscience/kmath/nd/FieldND { public fun ([ILspace/kscience/kmath/operations/Field;Lkotlin/jvm/functions/Function2;)V public fun binaryOperationFunction (Ljava/lang/String;)Lkotlin/jvm/functions/Function2; public synthetic fun div (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; public synthetic fun div (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun div (Ljava/lang/Object;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public fun div (Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Number;)Lspace/kscience/kmath/nd/NDStructure; - public fun div (Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Object;)Lspace/kscience/kmath/nd/NDStructure; - public fun div (Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun div (Ljava/lang/Object;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public fun div (Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Number;)Lspace/kscience/kmath/nd/StructureND; + public fun div (Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Object;)Lspace/kscience/kmath/nd/StructureND; + public fun div (Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun divide (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun divide (Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun divide (Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun leftSideNumberOperation (Ljava/lang/String;Ljava/lang/Number;Ljava/lang/Object;)Ljava/lang/Object; - public fun leftSideNumberOperation (Ljava/lang/String;Ljava/lang/Number;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun leftSideNumberOperation (Ljava/lang/String;Ljava/lang/Number;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; public fun leftSideNumberOperationFunction (Ljava/lang/String;)Lkotlin/jvm/functions/Function2; public synthetic fun number (Ljava/lang/Number;)Ljava/lang/Object; - public fun number (Ljava/lang/Number;)Lspace/kscience/kmath/nd/NDStructure; + public fun number (Ljava/lang/Number;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun rightSideNumberOperation (Ljava/lang/String;Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; - public fun rightSideNumberOperation (Ljava/lang/String;Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Number;)Lspace/kscience/kmath/nd/NDStructure; + public fun rightSideNumberOperation (Ljava/lang/String;Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Number;)Lspace/kscience/kmath/nd/StructureND; public fun rightSideNumberOperationFunction (Ljava/lang/String;)Lkotlin/jvm/functions/Function2; public synthetic fun scale (Ljava/lang/Object;D)Ljava/lang/Object; - public fun scale (Lspace/kscience/kmath/nd/NDStructure;D)Lspace/kscience/kmath/nd/NDStructure; + public fun scale (Lspace/kscience/kmath/nd/StructureND;D)Lspace/kscience/kmath/nd/StructureND; public synthetic fun times (Ljava/lang/Number;Ljava/lang/Object;)Ljava/lang/Object; - public fun times (Ljava/lang/Number;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun times (Ljava/lang/Number;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun times (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; - public fun times (Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Number;)Lspace/kscience/kmath/nd/NDStructure; + public fun times (Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Number;)Lspace/kscience/kmath/nd/StructureND; } -public class space/kscience/kmath/nd/BufferedNDGroup : space/kscience/kmath/nd/BufferNDAlgebra, space/kscience/kmath/nd/NDGroup { +public class space/kscience/kmath/nd/BufferedGroupND : space/kscience/kmath/nd/BufferAlgebraND, space/kscience/kmath/nd/GroupND { 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/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun add (Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; 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/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun binaryOperation (Ljava/lang/String;Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; 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/NDStructure; - public fun combine (Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;Lkotlin/jvm/functions/Function3;)Lspace/kscience/kmath/nd/NDBuffer; - public synthetic fun combine (Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;Lkotlin/jvm/functions/Function3;)Lspace/kscience/kmath/nd/NDStructure; - public fun getBuffer (Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/structures/Buffer; + public fun bindSymbol (Ljava/lang/String;)Lspace/kscience/kmath/nd/StructureND; + public fun combine (Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;Lkotlin/jvm/functions/Function3;)Lspace/kscience/kmath/nd/BufferND; + public synthetic fun combine (Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;Lkotlin/jvm/functions/Function3;)Lspace/kscience/kmath/nd/StructureND; + public fun getBuffer (Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/structures/Buffer; public final fun getBufferFactory ()Lkotlin/jvm/functions/Function2; public synthetic fun getElementContext ()Lspace/kscience/kmath/operations/Algebra; public final fun getElementContext ()Lspace/kscience/kmath/operations/Group; public final fun getShape ()[I public fun getStrides ()Lspace/kscience/kmath/nd/Strides; public synthetic fun getZero ()Ljava/lang/Object; - public fun getZero ()Lspace/kscience/kmath/nd/NDBuffer; - public fun invoke (Lkotlin/jvm/functions/Function1;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public fun map (Lspace/kscience/kmath/nd/NDStructure;Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/NDBuffer; - public synthetic fun map (Lspace/kscience/kmath/nd/NDStructure;Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/NDStructure; - public fun mapIndexed (Lspace/kscience/kmath/nd/NDStructure;Lkotlin/jvm/functions/Function3;)Lspace/kscience/kmath/nd/NDBuffer; - public synthetic fun mapIndexed (Lspace/kscience/kmath/nd/NDStructure;Lkotlin/jvm/functions/Function3;)Lspace/kscience/kmath/nd/NDStructure; + public fun getZero ()Lspace/kscience/kmath/nd/BufferND; + public fun invoke (Lkotlin/jvm/functions/Function1;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public fun map (Lspace/kscience/kmath/nd/StructureND;Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/BufferND; + public synthetic fun map (Lspace/kscience/kmath/nd/StructureND;Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/StructureND; + public fun mapIndexed (Lspace/kscience/kmath/nd/StructureND;Lkotlin/jvm/functions/Function3;)Lspace/kscience/kmath/nd/BufferND; + public synthetic fun mapIndexed (Lspace/kscience/kmath/nd/StructureND;Lkotlin/jvm/functions/Function3;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun minus (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun minus (Ljava/lang/Object;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public fun minus (Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Object;)Lspace/kscience/kmath/nd/NDStructure; - public fun minus (Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun minus (Ljava/lang/Object;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public fun minus (Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Object;)Lspace/kscience/kmath/nd/StructureND; + public fun minus (Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun plus (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun plus (Ljava/lang/Object;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public fun plus (Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Object;)Lspace/kscience/kmath/nd/NDStructure; - public fun plus (Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public fun produce (Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/NDBuffer; - public synthetic fun produce (Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/NDStructure; + public fun plus (Ljava/lang/Object;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public fun plus (Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Object;)Lspace/kscience/kmath/nd/StructureND; + public fun plus (Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public fun produce (Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/BufferND; + public synthetic fun produce (Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun unaryMinus (Ljava/lang/Object;)Ljava/lang/Object; - public fun unaryMinus (Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun unaryMinus (Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun unaryOperation (Ljava/lang/String;Ljava/lang/Object;)Ljava/lang/Object; - public fun unaryOperation (Ljava/lang/String;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun unaryOperation (Ljava/lang/String;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; 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/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun unaryPlus (Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; } -public class space/kscience/kmath/nd/BufferedNDRing : space/kscience/kmath/nd/BufferedNDGroup, space/kscience/kmath/nd/NDRing { +public class space/kscience/kmath/nd/BufferedRingND : space/kscience/kmath/nd/BufferedGroupND, space/kscience/kmath/nd/RingND { public fun ([ILspace/kscience/kmath/operations/Ring;Lkotlin/jvm/functions/Function2;)V public fun binaryOperationFunction (Ljava/lang/String;)Lkotlin/jvm/functions/Function2; public synthetic fun getOne ()Ljava/lang/Object; - public fun getOne ()Lspace/kscience/kmath/nd/NDBuffer; + public fun getOne ()Lspace/kscience/kmath/nd/BufferND; public synthetic fun multiply (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun multiply (Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun multiply (Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun times (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun times (Ljava/lang/Object;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public fun times (Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Object;)Lspace/kscience/kmath/nd/NDStructure; - public fun times (Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun times (Ljava/lang/Object;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public fun times (Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Object;)Lspace/kscience/kmath/nd/StructureND; + public fun times (Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; } public final class space/kscience/kmath/nd/DefaultStrides : space/kscience/kmath/nd/Strides { @@ -989,250 +832,183 @@ public final class space/kscience/kmath/nd/DefaultStrides$Companion { public final fun invoke ([I)Lspace/kscience/kmath/nd/Strides; } -public final class space/kscience/kmath/nd/MutableNDBuffer : space/kscience/kmath/nd/NDBuffer, space/kscience/kmath/nd/MutableNDStructure { - public fun (Lspace/kscience/kmath/nd/Strides;Lspace/kscience/kmath/structures/MutableBuffer;)V - public synthetic fun getBuffer ()Lspace/kscience/kmath/structures/Buffer; - public fun getBuffer ()Lspace/kscience/kmath/structures/MutableBuffer; - public fun set ([ILjava/lang/Object;)V -} - -public abstract interface class space/kscience/kmath/nd/MutableNDStructure : space/kscience/kmath/nd/NDStructure { - public abstract fun set ([ILjava/lang/Object;)V -} - -public final class space/kscience/kmath/nd/MutableNDStructure$DefaultImpls { - public static fun getDimension (Lspace/kscience/kmath/nd/MutableNDStructure;)I -} - -public abstract interface class space/kscience/kmath/nd/NDAlgebra { - public static final field Companion Lspace/kscience/kmath/nd/NDAlgebra$Companion; - public abstract fun combine (Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;Lkotlin/jvm/functions/Function3;)Lspace/kscience/kmath/nd/NDStructure; - public abstract fun getElementContext ()Lspace/kscience/kmath/operations/Algebra; - public abstract fun getShape ()[I - public abstract fun invoke (Lkotlin/jvm/functions/Function1;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public abstract fun map (Lspace/kscience/kmath/nd/NDStructure;Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/NDStructure; - public abstract fun mapIndexed (Lspace/kscience/kmath/nd/NDStructure;Lkotlin/jvm/functions/Function3;)Lspace/kscience/kmath/nd/NDStructure; - public abstract fun produce (Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/NDStructure; -} - -public final class space/kscience/kmath/nd/NDAlgebra$Companion { -} - -public final class space/kscience/kmath/nd/NDAlgebra$DefaultImpls { - public static fun invoke (Lspace/kscience/kmath/nd/NDAlgebra;Lkotlin/jvm/functions/Function1;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; -} - -public class space/kscience/kmath/nd/NDBuffer : space/kscience/kmath/nd/NDStructure { - public fun (Lspace/kscience/kmath/nd/Strides;Lspace/kscience/kmath/structures/Buffer;)V - public fun elements ()Lkotlin/sequences/Sequence; - public fun equals (Ljava/lang/Object;)Z - public fun get ([I)Ljava/lang/Object; - public fun getBuffer ()Lspace/kscience/kmath/structures/Buffer; - public fun getDimension ()I - public fun getShape ()[I - public final fun getStrides ()Lspace/kscience/kmath/nd/Strides; - public fun hashCode ()I - public fun toString ()Ljava/lang/String; -} - -public abstract interface class space/kscience/kmath/nd/NDField : space/kscience/kmath/nd/NDRing, space/kscience/kmath/operations/Field, space/kscience/kmath/operations/ScaleOperations { - public abstract fun div (Ljava/lang/Object;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public abstract fun div (Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Object;)Lspace/kscience/kmath/nd/NDStructure; - public abstract fun divide (Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; -} - -public final class space/kscience/kmath/nd/NDField$DefaultImpls { - public static fun add (Lspace/kscience/kmath/nd/NDField;Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public static fun binaryOperation (Lspace/kscience/kmath/nd/NDField;Ljava/lang/String;Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public static fun binaryOperationFunction (Lspace/kscience/kmath/nd/NDField;Ljava/lang/String;)Lkotlin/jvm/functions/Function2; - public static fun bindSymbol (Lspace/kscience/kmath/nd/NDField;Ljava/lang/String;)Lspace/kscience/kmath/nd/NDStructure; - public static fun div (Lspace/kscience/kmath/nd/NDField;Ljava/lang/Object;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public static fun div (Lspace/kscience/kmath/nd/NDField;Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Number;)Lspace/kscience/kmath/nd/NDStructure; - public static fun div (Lspace/kscience/kmath/nd/NDField;Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Object;)Lspace/kscience/kmath/nd/NDStructure; - public static fun div (Lspace/kscience/kmath/nd/NDField;Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public static fun divide (Lspace/kscience/kmath/nd/NDField;Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public static fun invoke (Lspace/kscience/kmath/nd/NDField;Lkotlin/jvm/functions/Function1;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public static fun leftSideNumberOperation (Lspace/kscience/kmath/nd/NDField;Ljava/lang/String;Ljava/lang/Number;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public static fun leftSideNumberOperationFunction (Lspace/kscience/kmath/nd/NDField;Ljava/lang/String;)Lkotlin/jvm/functions/Function2; - public static fun minus (Lspace/kscience/kmath/nd/NDField;Ljava/lang/Object;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public static fun minus (Lspace/kscience/kmath/nd/NDField;Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Object;)Lspace/kscience/kmath/nd/NDStructure; - public static fun minus (Lspace/kscience/kmath/nd/NDField;Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public static fun multiply (Lspace/kscience/kmath/nd/NDField;Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public static fun number (Lspace/kscience/kmath/nd/NDField;Ljava/lang/Number;)Lspace/kscience/kmath/nd/NDStructure; - public static fun plus (Lspace/kscience/kmath/nd/NDField;Ljava/lang/Object;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public static fun plus (Lspace/kscience/kmath/nd/NDField;Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Object;)Lspace/kscience/kmath/nd/NDStructure; - public static fun plus (Lspace/kscience/kmath/nd/NDField;Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public static fun rightSideNumberOperation (Lspace/kscience/kmath/nd/NDField;Ljava/lang/String;Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Number;)Lspace/kscience/kmath/nd/NDStructure; - public static fun rightSideNumberOperationFunction (Lspace/kscience/kmath/nd/NDField;Ljava/lang/String;)Lkotlin/jvm/functions/Function2; - public static fun times (Lspace/kscience/kmath/nd/NDField;Ljava/lang/Number;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public static fun times (Lspace/kscience/kmath/nd/NDField;Ljava/lang/Object;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public static fun times (Lspace/kscience/kmath/nd/NDField;Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Number;)Lspace/kscience/kmath/nd/NDStructure; - public static fun times (Lspace/kscience/kmath/nd/NDField;Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Object;)Lspace/kscience/kmath/nd/NDStructure; - public static fun times (Lspace/kscience/kmath/nd/NDField;Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public static fun unaryOperation (Lspace/kscience/kmath/nd/NDField;Ljava/lang/String;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public static fun unaryOperationFunction (Lspace/kscience/kmath/nd/NDField;Ljava/lang/String;)Lkotlin/jvm/functions/Function1; - public static fun unaryPlus (Lspace/kscience/kmath/nd/NDField;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; -} - -public abstract interface class space/kscience/kmath/nd/NDGroup : space/kscience/kmath/nd/NDAlgebra, space/kscience/kmath/operations/Group { - public static final field Companion Lspace/kscience/kmath/nd/NDGroup$Companion; - public abstract fun add (Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public abstract fun minus (Ljava/lang/Object;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public abstract fun minus (Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Object;)Lspace/kscience/kmath/nd/NDStructure; - public abstract fun plus (Ljava/lang/Object;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public abstract fun plus (Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Object;)Lspace/kscience/kmath/nd/NDStructure; -} - -public final class space/kscience/kmath/nd/NDGroup$Companion { -} - -public final class space/kscience/kmath/nd/NDGroup$DefaultImpls { - public static fun add (Lspace/kscience/kmath/nd/NDGroup;Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public static fun binaryOperation (Lspace/kscience/kmath/nd/NDGroup;Ljava/lang/String;Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public static fun binaryOperationFunction (Lspace/kscience/kmath/nd/NDGroup;Ljava/lang/String;)Lkotlin/jvm/functions/Function2; - public static fun bindSymbol (Lspace/kscience/kmath/nd/NDGroup;Ljava/lang/String;)Lspace/kscience/kmath/nd/NDStructure; - public static fun invoke (Lspace/kscience/kmath/nd/NDGroup;Lkotlin/jvm/functions/Function1;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public static fun minus (Lspace/kscience/kmath/nd/NDGroup;Ljava/lang/Object;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public static fun minus (Lspace/kscience/kmath/nd/NDGroup;Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Object;)Lspace/kscience/kmath/nd/NDStructure; - public static fun minus (Lspace/kscience/kmath/nd/NDGroup;Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public static fun plus (Lspace/kscience/kmath/nd/NDGroup;Ljava/lang/Object;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public static fun plus (Lspace/kscience/kmath/nd/NDGroup;Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Object;)Lspace/kscience/kmath/nd/NDStructure; - public static fun plus (Lspace/kscience/kmath/nd/NDGroup;Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public static fun unaryOperation (Lspace/kscience/kmath/nd/NDGroup;Ljava/lang/String;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public static fun unaryOperationFunction (Lspace/kscience/kmath/nd/NDGroup;Ljava/lang/String;)Lkotlin/jvm/functions/Function1; - public static fun unaryPlus (Lspace/kscience/kmath/nd/NDGroup;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; -} - -public abstract interface class space/kscience/kmath/nd/NDRing : space/kscience/kmath/nd/NDGroup, space/kscience/kmath/operations/Ring { - public static final field Companion Lspace/kscience/kmath/nd/NDRing$Companion; - public abstract fun multiply (Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public abstract fun times (Ljava/lang/Object;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public abstract fun times (Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Object;)Lspace/kscience/kmath/nd/NDStructure; -} - -public final class space/kscience/kmath/nd/NDRing$Companion { -} - -public final class space/kscience/kmath/nd/NDRing$DefaultImpls { - public static fun add (Lspace/kscience/kmath/nd/NDRing;Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public static fun binaryOperation (Lspace/kscience/kmath/nd/NDRing;Ljava/lang/String;Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public static fun binaryOperationFunction (Lspace/kscience/kmath/nd/NDRing;Ljava/lang/String;)Lkotlin/jvm/functions/Function2; - public static fun bindSymbol (Lspace/kscience/kmath/nd/NDRing;Ljava/lang/String;)Lspace/kscience/kmath/nd/NDStructure; - public static fun invoke (Lspace/kscience/kmath/nd/NDRing;Lkotlin/jvm/functions/Function1;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public static fun minus (Lspace/kscience/kmath/nd/NDRing;Ljava/lang/Object;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public static fun minus (Lspace/kscience/kmath/nd/NDRing;Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Object;)Lspace/kscience/kmath/nd/NDStructure; - public static fun minus (Lspace/kscience/kmath/nd/NDRing;Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public static fun multiply (Lspace/kscience/kmath/nd/NDRing;Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public static fun plus (Lspace/kscience/kmath/nd/NDRing;Ljava/lang/Object;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public static fun plus (Lspace/kscience/kmath/nd/NDRing;Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Object;)Lspace/kscience/kmath/nd/NDStructure; - public static fun plus (Lspace/kscience/kmath/nd/NDRing;Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public static fun times (Lspace/kscience/kmath/nd/NDRing;Ljava/lang/Object;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public static fun times (Lspace/kscience/kmath/nd/NDRing;Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Object;)Lspace/kscience/kmath/nd/NDStructure; - public static fun times (Lspace/kscience/kmath/nd/NDRing;Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public static fun unaryOperation (Lspace/kscience/kmath/nd/NDRing;Ljava/lang/String;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public static fun unaryOperationFunction (Lspace/kscience/kmath/nd/NDRing;Ljava/lang/String;)Lkotlin/jvm/functions/Function1; - public static fun unaryPlus (Lspace/kscience/kmath/nd/NDRing;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; -} - -public abstract interface class space/kscience/kmath/nd/NDStructure { - public static final field Companion Lspace/kscience/kmath/nd/NDStructure$Companion; - public abstract fun elements ()Lkotlin/sequences/Sequence; - public abstract fun equals (Ljava/lang/Object;)Z - public abstract fun get ([I)Ljava/lang/Object; - public abstract fun getDimension ()I - public abstract fun getShape ()[I - public abstract fun hashCode ()I -} - -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$Companion;[ILkotlin/jvm/functions/Function2;Lkotlin/jvm/functions/Function1;ILjava/lang/Object;)Lspace/kscience/kmath/nd/NDBuffer; - public final fun contentEquals (Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Z -} - -public final class space/kscience/kmath/nd/NDStructure$DefaultImpls { - public static fun getDimension (Lspace/kscience/kmath/nd/NDStructure;)I -} - -public final class space/kscience/kmath/nd/NDStructureKt { - public static final fun get (Lspace/kscience/kmath/nd/NDStructure;[I)Ljava/lang/Object; - public static final fun mapInPlace (Lspace/kscience/kmath/nd/MutableNDStructure;Lkotlin/jvm/functions/Function2;)V -} - -public final class space/kscience/kmath/nd/RealNDField : space/kscience/kmath/nd/BufferedNDField, space/kscience/kmath/operations/ExtendedField, space/kscience/kmath/operations/NumbersAddOperations, space/kscience/kmath/operations/ScaleOperations { +public final class space/kscience/kmath/nd/DoubleFieldND : space/kscience/kmath/nd/BufferedFieldND, space/kscience/kmath/operations/ExtendedField, space/kscience/kmath/operations/NumbersAddOperations, space/kscience/kmath/operations/ScaleOperations { public fun ([I)V public synthetic fun acos (Ljava/lang/Object;)Ljava/lang/Object; - public fun acos (Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDBuffer; + public fun acos (Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/BufferND; public synthetic fun acosh (Ljava/lang/Object;)Ljava/lang/Object; - public fun acosh (Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDBuffer; + public fun acosh (Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/BufferND; public synthetic fun asin (Ljava/lang/Object;)Ljava/lang/Object; - public fun asin (Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDBuffer; + public fun asin (Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/BufferND; public synthetic fun asinh (Ljava/lang/Object;)Ljava/lang/Object; - public fun asinh (Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDBuffer; + public fun asinh (Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/BufferND; public synthetic fun atan (Ljava/lang/Object;)Ljava/lang/Object; - public fun atan (Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDBuffer; + public fun atan (Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/BufferND; public synthetic fun atanh (Ljava/lang/Object;)Ljava/lang/Object; - public fun atanh (Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDBuffer; - public fun combine (Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;Lkotlin/jvm/functions/Function3;)Lspace/kscience/kmath/nd/NDBuffer; - public synthetic fun combine (Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;Lkotlin/jvm/functions/Function3;)Lspace/kscience/kmath/nd/NDStructure; + public fun atanh (Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/BufferND; + public fun combine (Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;Lkotlin/jvm/functions/Function3;)Lspace/kscience/kmath/nd/BufferND; + public synthetic fun combine (Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;Lkotlin/jvm/functions/Function3;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun cos (Ljava/lang/Object;)Ljava/lang/Object; - public fun cos (Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDBuffer; + public fun cos (Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/BufferND; public synthetic fun cosh (Ljava/lang/Object;)Ljava/lang/Object; - public fun cosh (Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDBuffer; + public fun cosh (Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/BufferND; public synthetic fun exp (Ljava/lang/Object;)Ljava/lang/Object; - public fun exp (Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDBuffer; - public synthetic fun getBuffer (Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/structures/Buffer; - public fun getBuffer-LGjt3BI (Lspace/kscience/kmath/nd/NDStructure;)[D + public fun exp (Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/BufferND; + public synthetic fun getBuffer (Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/structures/Buffer; + public fun getBuffer-Udx-57Q (Lspace/kscience/kmath/nd/StructureND;)[D public synthetic fun getOne ()Ljava/lang/Object; - public fun getOne ()Lspace/kscience/kmath/nd/NDBuffer; + public fun getOne ()Lspace/kscience/kmath/nd/BufferND; public synthetic fun getZero ()Ljava/lang/Object; - public fun getZero ()Lspace/kscience/kmath/nd/NDBuffer; + public fun getZero ()Lspace/kscience/kmath/nd/BufferND; public synthetic fun ln (Ljava/lang/Object;)Ljava/lang/Object; - public fun ln (Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDBuffer; - public fun map (Lspace/kscience/kmath/nd/NDStructure;Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/NDBuffer; - public synthetic fun map (Lspace/kscience/kmath/nd/NDStructure;Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/NDStructure; - public fun mapIndexed (Lspace/kscience/kmath/nd/NDStructure;Lkotlin/jvm/functions/Function3;)Lspace/kscience/kmath/nd/NDBuffer; - public synthetic fun mapIndexed (Lspace/kscience/kmath/nd/NDStructure;Lkotlin/jvm/functions/Function3;)Lspace/kscience/kmath/nd/NDStructure; + public fun ln (Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/BufferND; + public fun map (Lspace/kscience/kmath/nd/StructureND;Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/BufferND; + public synthetic fun map (Lspace/kscience/kmath/nd/StructureND;Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/StructureND; + public fun mapIndexed (Lspace/kscience/kmath/nd/StructureND;Lkotlin/jvm/functions/Function3;)Lspace/kscience/kmath/nd/BufferND; + public synthetic fun mapIndexed (Lspace/kscience/kmath/nd/StructureND;Lkotlin/jvm/functions/Function3;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun minus (Ljava/lang/Number;Ljava/lang/Object;)Ljava/lang/Object; - public fun minus (Ljava/lang/Number;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun minus (Ljava/lang/Number;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun minus (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; - public fun minus (Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Number;)Lspace/kscience/kmath/nd/NDStructure; + public fun minus (Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Number;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun number (Ljava/lang/Number;)Ljava/lang/Object; - public fun number (Ljava/lang/Number;)Lspace/kscience/kmath/nd/NDBuffer; - public synthetic fun number (Ljava/lang/Number;)Lspace/kscience/kmath/nd/NDStructure; + public fun number (Ljava/lang/Number;)Lspace/kscience/kmath/nd/BufferND; + public synthetic fun number (Ljava/lang/Number;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun plus (Ljava/lang/Number;Ljava/lang/Object;)Ljava/lang/Object; - public fun plus (Ljava/lang/Number;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun plus (Ljava/lang/Number;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun plus (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; - public fun plus (Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Number;)Lspace/kscience/kmath/nd/NDStructure; + public fun plus (Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Number;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun pow (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; - public fun pow (Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Number;)Lspace/kscience/kmath/nd/NDStructure; + public fun pow (Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Number;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun power (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; - public fun power (Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Number;)Lspace/kscience/kmath/nd/NDBuffer; - public fun produce (Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/NDBuffer; - public synthetic fun produce (Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/NDStructure; + public fun power (Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Number;)Lspace/kscience/kmath/nd/BufferND; + public fun produce (Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/BufferND; + public synthetic fun produce (Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/StructureND; public fun rightSideNumberOperationFunction (Ljava/lang/String;)Lkotlin/jvm/functions/Function2; public synthetic fun scale (Ljava/lang/Object;D)Ljava/lang/Object; - public fun scale (Lspace/kscience/kmath/nd/NDStructure;D)Lspace/kscience/kmath/nd/NDStructure; + public fun scale (Lspace/kscience/kmath/nd/StructureND;D)Lspace/kscience/kmath/nd/StructureND; public synthetic fun sin (Ljava/lang/Object;)Ljava/lang/Object; - public fun sin (Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDBuffer; + public fun sin (Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/BufferND; public synthetic fun sinh (Ljava/lang/Object;)Ljava/lang/Object; - public fun sinh (Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDBuffer; + public fun sinh (Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/BufferND; public synthetic fun sqrt (Ljava/lang/Object;)Ljava/lang/Object; - public fun sqrt (Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun sqrt (Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun tan (Ljava/lang/Object;)Ljava/lang/Object; - public fun tan (Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDBuffer; + public fun tan (Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/BufferND; public synthetic fun tanh (Ljava/lang/Object;)Ljava/lang/Object; - public fun tanh (Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDBuffer; + public fun tanh (Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/BufferND; public fun unaryOperationFunction (Ljava/lang/String;)Lkotlin/jvm/functions/Function1; } -public final class space/kscience/kmath/nd/RealNDFieldKt { - public static final fun nd (Lspace/kscience/kmath/operations/RealField;[ILkotlin/jvm/functions/Function1;)Ljava/lang/Object; - public static final fun real (Lspace/kscience/kmath/nd/NDAlgebra$Companion;[I)Lspace/kscience/kmath/nd/RealNDField; +public final class space/kscience/kmath/nd/DoubleFieldNDKt { + public static final fun nd (Lspace/kscience/kmath/operations/DoubleField;[ILkotlin/jvm/functions/Function1;)Ljava/lang/Object; + public static final fun real (Lspace/kscience/kmath/nd/AlgebraND$Companion;[I)Lspace/kscience/kmath/nd/DoubleFieldND; +} + +public abstract interface class space/kscience/kmath/nd/FieldND : space/kscience/kmath/nd/RingND, space/kscience/kmath/operations/Field, space/kscience/kmath/operations/ScaleOperations { + public abstract fun div (Ljava/lang/Object;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public abstract fun div (Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Object;)Lspace/kscience/kmath/nd/StructureND; + public abstract fun divide (Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; +} + +public final class space/kscience/kmath/nd/FieldND$DefaultImpls { + public static fun add (Lspace/kscience/kmath/nd/FieldND;Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public static fun binaryOperation (Lspace/kscience/kmath/nd/FieldND;Ljava/lang/String;Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public static fun binaryOperationFunction (Lspace/kscience/kmath/nd/FieldND;Ljava/lang/String;)Lkotlin/jvm/functions/Function2; + public static fun bindSymbol (Lspace/kscience/kmath/nd/FieldND;Ljava/lang/String;)Lspace/kscience/kmath/nd/StructureND; + public static fun div (Lspace/kscience/kmath/nd/FieldND;Ljava/lang/Object;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public static fun div (Lspace/kscience/kmath/nd/FieldND;Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Number;)Lspace/kscience/kmath/nd/StructureND; + public static fun div (Lspace/kscience/kmath/nd/FieldND;Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Object;)Lspace/kscience/kmath/nd/StructureND; + public static fun div (Lspace/kscience/kmath/nd/FieldND;Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public static fun divide (Lspace/kscience/kmath/nd/FieldND;Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public static fun invoke (Lspace/kscience/kmath/nd/FieldND;Lkotlin/jvm/functions/Function1;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public static fun leftSideNumberOperation (Lspace/kscience/kmath/nd/FieldND;Ljava/lang/String;Ljava/lang/Number;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public static fun leftSideNumberOperationFunction (Lspace/kscience/kmath/nd/FieldND;Ljava/lang/String;)Lkotlin/jvm/functions/Function2; + public static fun minus (Lspace/kscience/kmath/nd/FieldND;Ljava/lang/Object;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public static fun minus (Lspace/kscience/kmath/nd/FieldND;Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Object;)Lspace/kscience/kmath/nd/StructureND; + public static fun minus (Lspace/kscience/kmath/nd/FieldND;Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public static fun multiply (Lspace/kscience/kmath/nd/FieldND;Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public static fun number (Lspace/kscience/kmath/nd/FieldND;Ljava/lang/Number;)Lspace/kscience/kmath/nd/StructureND; + public static fun plus (Lspace/kscience/kmath/nd/FieldND;Ljava/lang/Object;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public static fun plus (Lspace/kscience/kmath/nd/FieldND;Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Object;)Lspace/kscience/kmath/nd/StructureND; + public static fun plus (Lspace/kscience/kmath/nd/FieldND;Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public static fun rightSideNumberOperation (Lspace/kscience/kmath/nd/FieldND;Ljava/lang/String;Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Number;)Lspace/kscience/kmath/nd/StructureND; + public static fun rightSideNumberOperationFunction (Lspace/kscience/kmath/nd/FieldND;Ljava/lang/String;)Lkotlin/jvm/functions/Function2; + public static fun times (Lspace/kscience/kmath/nd/FieldND;Ljava/lang/Number;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public static fun times (Lspace/kscience/kmath/nd/FieldND;Ljava/lang/Object;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public static fun times (Lspace/kscience/kmath/nd/FieldND;Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Number;)Lspace/kscience/kmath/nd/StructureND; + public static fun times (Lspace/kscience/kmath/nd/FieldND;Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Object;)Lspace/kscience/kmath/nd/StructureND; + public static fun times (Lspace/kscience/kmath/nd/FieldND;Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public static fun unaryOperation (Lspace/kscience/kmath/nd/FieldND;Ljava/lang/String;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public static fun unaryOperationFunction (Lspace/kscience/kmath/nd/FieldND;Ljava/lang/String;)Lkotlin/jvm/functions/Function1; + public static fun unaryPlus (Lspace/kscience/kmath/nd/FieldND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; +} + +public abstract interface class space/kscience/kmath/nd/GroupND : space/kscience/kmath/nd/AlgebraND, space/kscience/kmath/operations/Group { + public static final field Companion Lspace/kscience/kmath/nd/GroupND$Companion; + public abstract fun add (Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public abstract fun minus (Ljava/lang/Object;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public abstract fun minus (Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Object;)Lspace/kscience/kmath/nd/StructureND; + public abstract fun plus (Ljava/lang/Object;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public abstract fun plus (Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Object;)Lspace/kscience/kmath/nd/StructureND; +} + +public final class space/kscience/kmath/nd/GroupND$Companion { +} + +public final class space/kscience/kmath/nd/GroupND$DefaultImpls { + public static fun add (Lspace/kscience/kmath/nd/GroupND;Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public static fun binaryOperation (Lspace/kscience/kmath/nd/GroupND;Ljava/lang/String;Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public static fun binaryOperationFunction (Lspace/kscience/kmath/nd/GroupND;Ljava/lang/String;)Lkotlin/jvm/functions/Function2; + public static fun bindSymbol (Lspace/kscience/kmath/nd/GroupND;Ljava/lang/String;)Lspace/kscience/kmath/nd/StructureND; + public static fun invoke (Lspace/kscience/kmath/nd/GroupND;Lkotlin/jvm/functions/Function1;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public static fun minus (Lspace/kscience/kmath/nd/GroupND;Ljava/lang/Object;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public static fun minus (Lspace/kscience/kmath/nd/GroupND;Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Object;)Lspace/kscience/kmath/nd/StructureND; + public static fun minus (Lspace/kscience/kmath/nd/GroupND;Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public static fun plus (Lspace/kscience/kmath/nd/GroupND;Ljava/lang/Object;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public static fun plus (Lspace/kscience/kmath/nd/GroupND;Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Object;)Lspace/kscience/kmath/nd/StructureND; + public static fun plus (Lspace/kscience/kmath/nd/GroupND;Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public static fun unaryOperation (Lspace/kscience/kmath/nd/GroupND;Ljava/lang/String;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public static fun unaryOperationFunction (Lspace/kscience/kmath/nd/GroupND;Ljava/lang/String;)Lkotlin/jvm/functions/Function1; + public static fun unaryPlus (Lspace/kscience/kmath/nd/GroupND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; +} + +public abstract interface class space/kscience/kmath/nd/MutableStructureND : space/kscience/kmath/nd/StructureND { + public abstract fun set ([ILjava/lang/Object;)V +} + +public final class space/kscience/kmath/nd/MutableStructureND$DefaultImpls { + public static fun getDimension (Lspace/kscience/kmath/nd/MutableStructureND;)I +} + +public abstract interface class space/kscience/kmath/nd/RingND : space/kscience/kmath/nd/GroupND, space/kscience/kmath/operations/Ring { + public static final field Companion Lspace/kscience/kmath/nd/RingND$Companion; + public abstract fun multiply (Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public abstract fun times (Ljava/lang/Object;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public abstract fun times (Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Object;)Lspace/kscience/kmath/nd/StructureND; +} + +public final class space/kscience/kmath/nd/RingND$Companion { +} + +public final class space/kscience/kmath/nd/RingND$DefaultImpls { + public static fun add (Lspace/kscience/kmath/nd/RingND;Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public static fun binaryOperation (Lspace/kscience/kmath/nd/RingND;Ljava/lang/String;Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public static fun binaryOperationFunction (Lspace/kscience/kmath/nd/RingND;Ljava/lang/String;)Lkotlin/jvm/functions/Function2; + public static fun bindSymbol (Lspace/kscience/kmath/nd/RingND;Ljava/lang/String;)Lspace/kscience/kmath/nd/StructureND; + public static fun invoke (Lspace/kscience/kmath/nd/RingND;Lkotlin/jvm/functions/Function1;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public static fun minus (Lspace/kscience/kmath/nd/RingND;Ljava/lang/Object;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public static fun minus (Lspace/kscience/kmath/nd/RingND;Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Object;)Lspace/kscience/kmath/nd/StructureND; + public static fun minus (Lspace/kscience/kmath/nd/RingND;Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public static fun multiply (Lspace/kscience/kmath/nd/RingND;Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public static fun plus (Lspace/kscience/kmath/nd/RingND;Ljava/lang/Object;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public static fun plus (Lspace/kscience/kmath/nd/RingND;Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Object;)Lspace/kscience/kmath/nd/StructureND; + public static fun plus (Lspace/kscience/kmath/nd/RingND;Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public static fun times (Lspace/kscience/kmath/nd/RingND;Ljava/lang/Object;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public static fun times (Lspace/kscience/kmath/nd/RingND;Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Object;)Lspace/kscience/kmath/nd/StructureND; + public static fun times (Lspace/kscience/kmath/nd/RingND;Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public static fun unaryOperation (Lspace/kscience/kmath/nd/RingND;Ljava/lang/String;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public static fun unaryOperationFunction (Lspace/kscience/kmath/nd/RingND;Ljava/lang/String;)Lkotlin/jvm/functions/Function1; + public static fun unaryPlus (Lspace/kscience/kmath/nd/RingND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; } public final class space/kscience/kmath/nd/ShapeMismatchException : java/lang/RuntimeException { @@ -1241,33 +1017,33 @@ public final class space/kscience/kmath/nd/ShapeMismatchException : java/lang/Ru public final fun getExpected ()[I } -public final class space/kscience/kmath/nd/ShortNDRing : space/kscience/kmath/nd/BufferedNDRing, space/kscience/kmath/operations/NumbersAddOperations { +public final class space/kscience/kmath/nd/ShortRingND : space/kscience/kmath/nd/BufferedRingND, space/kscience/kmath/operations/NumbersAddOperations { public fun ([I)V public synthetic fun getOne ()Ljava/lang/Object; - public fun getOne ()Lspace/kscience/kmath/nd/NDBuffer; + public fun getOne ()Lspace/kscience/kmath/nd/BufferND; public synthetic fun getZero ()Ljava/lang/Object; - public fun getZero ()Lspace/kscience/kmath/nd/NDBuffer; + public fun getZero ()Lspace/kscience/kmath/nd/BufferND; public synthetic fun leftSideNumberOperation (Ljava/lang/String;Ljava/lang/Number;Ljava/lang/Object;)Ljava/lang/Object; - public fun leftSideNumberOperation (Ljava/lang/String;Ljava/lang/Number;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun leftSideNumberOperation (Ljava/lang/String;Ljava/lang/Number;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; public fun leftSideNumberOperationFunction (Ljava/lang/String;)Lkotlin/jvm/functions/Function2; public synthetic fun minus (Ljava/lang/Number;Ljava/lang/Object;)Ljava/lang/Object; - public fun minus (Ljava/lang/Number;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun minus (Ljava/lang/Number;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun minus (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; - public fun minus (Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Number;)Lspace/kscience/kmath/nd/NDStructure; + public fun minus (Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Number;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun number (Ljava/lang/Number;)Ljava/lang/Object; - public fun number (Ljava/lang/Number;)Lspace/kscience/kmath/nd/NDBuffer; + public fun number (Ljava/lang/Number;)Lspace/kscience/kmath/nd/BufferND; public synthetic fun plus (Ljava/lang/Number;Ljava/lang/Object;)Ljava/lang/Object; - public fun plus (Ljava/lang/Number;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun plus (Ljava/lang/Number;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun plus (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; - public fun plus (Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Number;)Lspace/kscience/kmath/nd/NDStructure; + public fun plus (Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Number;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun rightSideNumberOperation (Ljava/lang/String;Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; - public fun rightSideNumberOperation (Ljava/lang/String;Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Number;)Lspace/kscience/kmath/nd/NDStructure; + public fun rightSideNumberOperation (Ljava/lang/String;Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Number;)Lspace/kscience/kmath/nd/StructureND; public fun rightSideNumberOperationFunction (Ljava/lang/String;)Lkotlin/jvm/functions/Function2; } -public final class space/kscience/kmath/nd/ShortNDRingKt { +public final class space/kscience/kmath/nd/ShortRingNDKt { public static final fun nd (Lspace/kscience/kmath/operations/ShortRing;[ILkotlin/jvm/functions/Function1;)Ljava/lang/Object; - public static final fun produceInline (Lspace/kscience/kmath/nd/BufferedNDRing;Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/NDBuffer; + public static final fun produceInline (Lspace/kscience/kmath/nd/BufferedRingND;Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/BufferND; } public abstract interface class space/kscience/kmath/nd/Strides { @@ -1283,51 +1059,77 @@ public final class space/kscience/kmath/nd/Strides$DefaultImpls { public static fun indices (Lspace/kscience/kmath/nd/Strides;)Lkotlin/sequences/Sequence; } -public abstract interface class space/kscience/kmath/nd/Structure1D : space/kscience/kmath/nd/NDStructure, space/kscience/kmath/structures/Buffer { +public abstract interface class space/kscience/kmath/nd/Structure1D : space/kscience/kmath/nd/StructureND, space/kscience/kmath/structures/Buffer { public abstract fun get ([I)Ljava/lang/Object; public abstract fun getDimension ()I public abstract fun iterator ()Ljava/util/Iterator; } public final class space/kscience/kmath/nd/Structure1D$DefaultImpls { - public static fun contentEquals (Lspace/kscience/kmath/nd/Structure1D;Lspace/kscience/kmath/structures/Buffer;)Z public static fun get (Lspace/kscience/kmath/nd/Structure1D;[I)Ljava/lang/Object; public static fun getDimension (Lspace/kscience/kmath/nd/Structure1D;)I public static fun iterator (Lspace/kscience/kmath/nd/Structure1D;)Ljava/util/Iterator; } public final class space/kscience/kmath/nd/Structure1DKt { - public static final fun as1D (Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/Structure1D; + public static final fun as1D (Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/Structure1D; public static final fun asND (Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/nd/Structure1D; } -public abstract interface class space/kscience/kmath/nd/Structure2D : space/kscience/kmath/nd/NDStructure { +public abstract interface class space/kscience/kmath/nd/Structure2D : space/kscience/kmath/nd/StructureND { public static final field Companion Lspace/kscience/kmath/nd/Structure2D$Companion; public abstract fun elements ()Lkotlin/sequences/Sequence; public abstract fun get (II)Ljava/lang/Object; public abstract fun get ([I)Ljava/lang/Object; public abstract fun getColNum ()I - public abstract fun getColumns ()Lspace/kscience/kmath/structures/Buffer; + public abstract fun getColumns ()Ljava/util/List; public abstract fun getRowNum ()I - public abstract fun getRows ()Lspace/kscience/kmath/structures/Buffer; + public abstract fun getRows ()Ljava/util/List; public abstract fun getShape ()[I } public final class space/kscience/kmath/nd/Structure2D$Companion { - public final fun real (IILkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/linear/BufferMatrix; } public final class space/kscience/kmath/nd/Structure2D$DefaultImpls { public static fun elements (Lspace/kscience/kmath/nd/Structure2D;)Lkotlin/sequences/Sequence; public static fun get (Lspace/kscience/kmath/nd/Structure2D;[I)Ljava/lang/Object; - public static fun getColumns (Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/structures/Buffer; + public static fun getColumns (Lspace/kscience/kmath/nd/Structure2D;)Ljava/util/List; public static fun getDimension (Lspace/kscience/kmath/nd/Structure2D;)I - public static fun getRows (Lspace/kscience/kmath/nd/Structure2D;)Lspace/kscience/kmath/structures/Buffer; + public static fun getRows (Lspace/kscience/kmath/nd/Structure2D;)Ljava/util/List; public static fun getShape (Lspace/kscience/kmath/nd/Structure2D;)[I } public final class space/kscience/kmath/nd/Structure2DKt { - public static final fun as2D (Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/Structure2D; + public static final fun as2D (Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/Structure2D; +} + +public abstract interface class space/kscience/kmath/nd/StructureND { + public static final field Companion Lspace/kscience/kmath/nd/StructureND$Companion; + public abstract fun elements ()Lkotlin/sequences/Sequence; + public abstract fun get ([I)Ljava/lang/Object; + public abstract fun getDimension ()I + public abstract fun getShape ()[I +} + +public final class space/kscience/kmath/nd/StructureND$Companion { + public final fun auto (Lkotlin/reflect/KClass;Lspace/kscience/kmath/nd/Strides;Lkotlin/jvm/functions/Function1;)Lspace/kscience/kmath/nd/BufferND; + public final fun auto (Lkotlin/reflect/KClass;[ILkotlin/jvm/functions/Function1;)Lspace/kscience/kmath/nd/BufferND; + public final fun buffered (Lspace/kscience/kmath/nd/Strides;Lkotlin/jvm/functions/Function2;Lkotlin/jvm/functions/Function1;)Lspace/kscience/kmath/nd/BufferND; + public final fun buffered ([ILkotlin/jvm/functions/Function2;Lkotlin/jvm/functions/Function1;)Lspace/kscience/kmath/nd/BufferND; + public static synthetic fun buffered$default (Lspace/kscience/kmath/nd/StructureND$Companion;Lspace/kscience/kmath/nd/Strides;Lkotlin/jvm/functions/Function2;Lkotlin/jvm/functions/Function1;ILjava/lang/Object;)Lspace/kscience/kmath/nd/BufferND; + public static synthetic fun buffered$default (Lspace/kscience/kmath/nd/StructureND$Companion;[ILkotlin/jvm/functions/Function2;Lkotlin/jvm/functions/Function1;ILjava/lang/Object;)Lspace/kscience/kmath/nd/BufferND; + public final fun contentEquals (Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Z + public final fun toString (Lspace/kscience/kmath/nd/StructureND;)Ljava/lang/String; +} + +public final class space/kscience/kmath/nd/StructureND$DefaultImpls { + public static fun getDimension (Lspace/kscience/kmath/nd/StructureND;)I +} + +public final class space/kscience/kmath/nd/StructureNDKt { + public static final fun get (Lspace/kscience/kmath/nd/StructureND;[I)Ljava/lang/Object; + public static final fun mapInPlace (Lspace/kscience/kmath/nd/MutableStructureND;Lkotlin/jvm/functions/Function2;)V } public abstract interface class space/kscience/kmath/operations/Algebra { @@ -1470,7 +1272,7 @@ public final class space/kscience/kmath/operations/BigIntField : space/kscience/ public final class space/kscience/kmath/operations/BigIntKt { public static final fun abs (Lspace/kscience/kmath/operations/BigInt;)Lspace/kscience/kmath/operations/BigInt; - public static final fun bigInt (Lspace/kscience/kmath/nd/NDAlgebra$Companion;[I)Lspace/kscience/kmath/nd/BufferedNDRing; + public static final fun bigInt (Lspace/kscience/kmath/nd/AlgebraND$Companion;[I)Lspace/kscience/kmath/nd/BufferedRingND; public static final fun bigInt (Lspace/kscience/kmath/structures/Buffer$Companion;ILkotlin/jvm/functions/Function1;)Lspace/kscience/kmath/structures/Buffer; public static final fun bigInt (Lspace/kscience/kmath/structures/MutableBuffer$Companion;ILkotlin/jvm/functions/Function1;)Lspace/kscience/kmath/structures/MutableBuffer; public static final fun parseBigInteger (Ljava/lang/String;)Lspace/kscience/kmath/operations/BigInt; @@ -1521,6 +1323,92 @@ public final class space/kscience/kmath/operations/ByteRing : space/kscience/kma public synthetic fun unaryPlus (Ljava/lang/Object;)Ljava/lang/Object; } +public final class space/kscience/kmath/operations/DoubleField : space/kscience/kmath/operations/ExtendedField, space/kscience/kmath/operations/Norm, space/kscience/kmath/operations/ScaleOperations { + public static final field INSTANCE Lspace/kscience/kmath/operations/DoubleField; + public fun acos (D)Ljava/lang/Double; + public synthetic fun acos (Ljava/lang/Object;)Ljava/lang/Object; + public fun acosh (D)Ljava/lang/Double; + public synthetic fun acosh (Ljava/lang/Object;)Ljava/lang/Object; + public fun add (DD)Ljava/lang/Double; + public synthetic fun add (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; + public fun asin (D)Ljava/lang/Double; + public synthetic fun asin (Ljava/lang/Object;)Ljava/lang/Object; + public fun asinh (D)Ljava/lang/Double; + public synthetic fun asinh (Ljava/lang/Object;)Ljava/lang/Object; + public fun atan (D)Ljava/lang/Double; + public synthetic fun atan (Ljava/lang/Object;)Ljava/lang/Object; + public fun atanh (D)Ljava/lang/Double; + public synthetic fun atanh (Ljava/lang/Object;)Ljava/lang/Object; + public fun binaryOperation (Ljava/lang/String;DD)Ljava/lang/Double; + public synthetic fun binaryOperation (Ljava/lang/String;Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; + public fun binaryOperationFunction (Ljava/lang/String;)Lkotlin/jvm/functions/Function2; + public fun bindSymbol (Ljava/lang/String;)Ljava/lang/Double; + public synthetic fun bindSymbol (Ljava/lang/String;)Ljava/lang/Object; + public fun cos (D)Ljava/lang/Double; + public synthetic fun cos (Ljava/lang/Object;)Ljava/lang/Object; + public fun cosh (D)Ljava/lang/Double; + public synthetic fun cosh (Ljava/lang/Object;)Ljava/lang/Object; + public fun div (DD)Ljava/lang/Double; + public fun div (DLjava/lang/Number;)Ljava/lang/Double; + public synthetic fun div (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; + public synthetic fun div (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; + public fun divide (DD)Ljava/lang/Double; + public synthetic fun divide (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; + public fun exp (D)Ljava/lang/Double; + public synthetic fun exp (Ljava/lang/Object;)Ljava/lang/Object; + public fun getOne ()Ljava/lang/Double; + public synthetic fun getOne ()Ljava/lang/Object; + public fun getZero ()Ljava/lang/Double; + public synthetic fun getZero ()Ljava/lang/Object; + public fun leftSideNumberOperation (Ljava/lang/String;Ljava/lang/Number;D)Ljava/lang/Double; + public synthetic fun leftSideNumberOperation (Ljava/lang/String;Ljava/lang/Number;Ljava/lang/Object;)Ljava/lang/Object; + public fun leftSideNumberOperationFunction (Ljava/lang/String;)Lkotlin/jvm/functions/Function2; + public fun ln (D)Ljava/lang/Double; + public synthetic fun ln (Ljava/lang/Object;)Ljava/lang/Object; + public fun minus (DD)Ljava/lang/Double; + public synthetic fun minus (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; + public fun multiply (DD)Ljava/lang/Double; + public synthetic fun multiply (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; + public fun norm (D)Ljava/lang/Double; + public synthetic fun norm (Ljava/lang/Object;)Ljava/lang/Object; + public fun number (Ljava/lang/Number;)Ljava/lang/Double; + public synthetic fun number (Ljava/lang/Number;)Ljava/lang/Object; + public fun plus (DD)Ljava/lang/Double; + public synthetic fun plus (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; + public fun pow (DLjava/lang/Number;)Ljava/lang/Double; + public synthetic fun pow (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; + public fun power (DLjava/lang/Number;)Ljava/lang/Double; + public synthetic fun power (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; + public fun rightSideNumberOperation (Ljava/lang/String;DLjava/lang/Number;)Ljava/lang/Double; + public synthetic fun rightSideNumberOperation (Ljava/lang/String;Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; + public fun rightSideNumberOperationFunction (Ljava/lang/String;)Lkotlin/jvm/functions/Function2; + public fun scale (DD)Ljava/lang/Double; + public synthetic fun scale (Ljava/lang/Object;D)Ljava/lang/Object; + public fun sin (D)Ljava/lang/Double; + public synthetic fun sin (Ljava/lang/Object;)Ljava/lang/Object; + public fun sinh (D)Ljava/lang/Double; + public synthetic fun sinh (Ljava/lang/Object;)Ljava/lang/Object; + public fun sqrt (D)Ljava/lang/Double; + public synthetic fun sqrt (Ljava/lang/Object;)Ljava/lang/Object; + public fun tan (D)Ljava/lang/Double; + public synthetic fun tan (Ljava/lang/Object;)Ljava/lang/Object; + public fun tanh (D)Ljava/lang/Double; + public synthetic fun tanh (Ljava/lang/Object;)Ljava/lang/Object; + public fun times (DD)Ljava/lang/Double; + public fun times (DLjava/lang/Number;)Ljava/lang/Double; + public fun times (Ljava/lang/Number;D)Ljava/lang/Double; + public synthetic fun times (Ljava/lang/Number;Ljava/lang/Object;)Ljava/lang/Object; + public synthetic fun times (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; + public synthetic fun times (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; + public fun unaryMinus (D)Ljava/lang/Double; + public synthetic fun unaryMinus (Ljava/lang/Object;)Ljava/lang/Object; + public fun unaryOperation (Ljava/lang/String;D)Ljava/lang/Double; + public synthetic fun unaryOperation (Ljava/lang/String;Ljava/lang/Object;)Ljava/lang/Object; + public fun unaryOperationFunction (Ljava/lang/String;)Lkotlin/jvm/functions/Function1; + public fun unaryPlus (D)Ljava/lang/Double; + public synthetic fun unaryPlus (Ljava/lang/Object;)Ljava/lang/Object; +} + public abstract interface class space/kscience/kmath/operations/ExponentialOperations : space/kscience/kmath/operations/Algebra { public static final field ACOSH_OPERATION Ljava/lang/String; public static final field ASINH_OPERATION Ljava/lang/String; @@ -2060,92 +1948,6 @@ public final class space/kscience/kmath/operations/PowerOperations$DefaultImpls public static fun unaryOperationFunction (Lspace/kscience/kmath/operations/PowerOperations;Ljava/lang/String;)Lkotlin/jvm/functions/Function1; } -public final class space/kscience/kmath/operations/RealField : space/kscience/kmath/operations/ExtendedField, space/kscience/kmath/operations/Norm, space/kscience/kmath/operations/ScaleOperations { - public static final field INSTANCE Lspace/kscience/kmath/operations/RealField; - public fun acos (D)Ljava/lang/Double; - public synthetic fun acos (Ljava/lang/Object;)Ljava/lang/Object; - public fun acosh (D)Ljava/lang/Double; - public synthetic fun acosh (Ljava/lang/Object;)Ljava/lang/Object; - public fun add (DD)Ljava/lang/Double; - public synthetic fun add (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun asin (D)Ljava/lang/Double; - public synthetic fun asin (Ljava/lang/Object;)Ljava/lang/Object; - public fun asinh (D)Ljava/lang/Double; - public synthetic fun asinh (Ljava/lang/Object;)Ljava/lang/Object; - public fun atan (D)Ljava/lang/Double; - public synthetic fun atan (Ljava/lang/Object;)Ljava/lang/Object; - public fun atanh (D)Ljava/lang/Double; - public synthetic fun atanh (Ljava/lang/Object;)Ljava/lang/Object; - public fun binaryOperation (Ljava/lang/String;DD)Ljava/lang/Double; - public synthetic fun binaryOperation (Ljava/lang/String;Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun binaryOperationFunction (Ljava/lang/String;)Lkotlin/jvm/functions/Function2; - public fun bindSymbol (Ljava/lang/String;)Ljava/lang/Double; - public synthetic fun bindSymbol (Ljava/lang/String;)Ljava/lang/Object; - public fun cos (D)Ljava/lang/Double; - public synthetic fun cos (Ljava/lang/Object;)Ljava/lang/Object; - public fun cosh (D)Ljava/lang/Double; - public synthetic fun cosh (Ljava/lang/Object;)Ljava/lang/Object; - public fun div (DD)Ljava/lang/Double; - public fun div (DLjava/lang/Number;)Ljava/lang/Double; - public synthetic fun div (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; - public synthetic fun div (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun divide (DD)Ljava/lang/Double; - public synthetic fun divide (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun exp (D)Ljava/lang/Double; - public synthetic fun exp (Ljava/lang/Object;)Ljava/lang/Object; - public fun getOne ()Ljava/lang/Double; - public synthetic fun getOne ()Ljava/lang/Object; - public fun getZero ()Ljava/lang/Double; - public synthetic fun getZero ()Ljava/lang/Object; - public fun leftSideNumberOperation (Ljava/lang/String;Ljava/lang/Number;D)Ljava/lang/Double; - public synthetic fun leftSideNumberOperation (Ljava/lang/String;Ljava/lang/Number;Ljava/lang/Object;)Ljava/lang/Object; - public fun leftSideNumberOperationFunction (Ljava/lang/String;)Lkotlin/jvm/functions/Function2; - public fun ln (D)Ljava/lang/Double; - public synthetic fun ln (Ljava/lang/Object;)Ljava/lang/Object; - public fun minus (DD)Ljava/lang/Double; - public synthetic fun minus (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun multiply (DD)Ljava/lang/Double; - public synthetic fun multiply (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun norm (D)Ljava/lang/Double; - public synthetic fun norm (Ljava/lang/Object;)Ljava/lang/Object; - public fun number (Ljava/lang/Number;)Ljava/lang/Double; - public synthetic fun number (Ljava/lang/Number;)Ljava/lang/Object; - public fun plus (DD)Ljava/lang/Double; - public synthetic fun plus (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun pow (DLjava/lang/Number;)Ljava/lang/Double; - public synthetic fun pow (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; - public fun power (DLjava/lang/Number;)Ljava/lang/Double; - public synthetic fun power (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; - public fun rightSideNumberOperation (Ljava/lang/String;DLjava/lang/Number;)Ljava/lang/Double; - public synthetic fun rightSideNumberOperation (Ljava/lang/String;Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; - public fun rightSideNumberOperationFunction (Ljava/lang/String;)Lkotlin/jvm/functions/Function2; - public fun scale (DD)Ljava/lang/Double; - public synthetic fun scale (Ljava/lang/Object;D)Ljava/lang/Object; - public fun sin (D)Ljava/lang/Double; - public synthetic fun sin (Ljava/lang/Object;)Ljava/lang/Object; - public fun sinh (D)Ljava/lang/Double; - public synthetic fun sinh (Ljava/lang/Object;)Ljava/lang/Object; - public fun sqrt (D)Ljava/lang/Double; - public synthetic fun sqrt (Ljava/lang/Object;)Ljava/lang/Object; - public fun tan (D)Ljava/lang/Double; - public synthetic fun tan (Ljava/lang/Object;)Ljava/lang/Object; - public fun tanh (D)Ljava/lang/Double; - public synthetic fun tanh (Ljava/lang/Object;)Ljava/lang/Object; - public fun times (DD)Ljava/lang/Double; - public fun times (DLjava/lang/Number;)Ljava/lang/Double; - public fun times (Ljava/lang/Number;D)Ljava/lang/Double; - public synthetic fun times (Ljava/lang/Number;Ljava/lang/Object;)Ljava/lang/Object; - public synthetic fun times (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; - public synthetic fun times (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun unaryMinus (D)Ljava/lang/Double; - public synthetic fun unaryMinus (Ljava/lang/Object;)Ljava/lang/Object; - public fun unaryOperation (Ljava/lang/String;D)Ljava/lang/Double; - public synthetic fun unaryOperation (Ljava/lang/String;Ljava/lang/Object;)Ljava/lang/Object; - public fun unaryOperationFunction (Ljava/lang/String;)Lkotlin/jvm/functions/Function1; - public fun unaryPlus (D)Ljava/lang/Double; - public synthetic fun unaryPlus (Ljava/lang/Object;)Ljava/lang/Object; -} - public abstract interface class space/kscience/kmath/operations/Ring : space/kscience/kmath/operations/Group, space/kscience/kmath/operations/RingOperations { public abstract fun getOne ()Ljava/lang/Object; } @@ -2279,7 +2081,6 @@ public final class space/kscience/kmath/operations/TrigonometricOperations$Defau public final class space/kscience/kmath/structures/ArrayBuffer : space/kscience/kmath/structures/MutableBuffer { public fun ([Ljava/lang/Object;)V - public fun contentEquals (Lspace/kscience/kmath/structures/Buffer;)Z public fun copy ()Lspace/kscience/kmath/structures/MutableBuffer; public fun get (I)Ljava/lang/Object; public fun getSize ()I @@ -2289,7 +2090,6 @@ public final class space/kscience/kmath/structures/ArrayBuffer : space/kscience/ public abstract interface class space/kscience/kmath/structures/Buffer { public static final field Companion Lspace/kscience/kmath/structures/Buffer$Companion; - public abstract fun contentEquals (Lspace/kscience/kmath/structures/Buffer;)Z public abstract fun get (I)Ljava/lang/Object; public abstract fun getSize ()I public abstract fun iterator ()Ljava/util/Iterator; @@ -2298,42 +2098,221 @@ public abstract interface class space/kscience/kmath/structures/Buffer { public final class space/kscience/kmath/structures/Buffer$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 { - public static fun contentEquals (Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)Z + public final fun contentEquals (Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)Z } 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; } +public final class space/kscience/kmath/structures/DoubleBuffer : space/kscience/kmath/structures/MutableBuffer { + public static final synthetic fun box-impl ([D)Lspace/kscience/kmath/structures/DoubleBuffer; + public static fun constructor-impl ([D)[D + public synthetic fun copy ()Lspace/kscience/kmath/structures/MutableBuffer; + public fun copy-Dv3HvWU ()[D + public static fun copy-Dv3HvWU ([D)[D + public fun equals (Ljava/lang/Object;)Z + public static fun equals-impl ([DLjava/lang/Object;)Z + public static final fun equals-impl0 ([D[D)Z + public fun get (I)Ljava/lang/Double; + public synthetic fun get (I)Ljava/lang/Object; + public static fun get-impl ([DI)Ljava/lang/Double; + public final fun getArray ()[D + public fun getSize ()I + public static fun getSize-impl ([D)I + public fun hashCode ()I + public static fun hashCode-impl ([D)I + public synthetic fun iterator ()Ljava/util/Iterator; + public fun iterator ()Lkotlin/collections/DoubleIterator; + public static fun iterator-impl ([D)Lkotlin/collections/DoubleIterator; + public fun set (ID)V + public synthetic fun set (ILjava/lang/Object;)V + public static fun set-impl ([DID)V + public fun toString ()Ljava/lang/String; + public static fun toString-impl ([D)Ljava/lang/String; + public final synthetic fun unbox-impl ()[D +} + +public final class space/kscience/kmath/structures/DoubleBufferField : space/kscience/kmath/operations/ExtendedField { + public fun (I)V + public synthetic fun acos (Ljava/lang/Object;)Ljava/lang/Object; + public fun acos-Udx-57Q (Lspace/kscience/kmath/structures/Buffer;)[D + public synthetic fun acosh (Ljava/lang/Object;)Ljava/lang/Object; + public fun acosh-Udx-57Q (Lspace/kscience/kmath/structures/Buffer;)[D + public synthetic fun add (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; + public fun add-CZ9oacQ (Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)[D + public synthetic fun asin (Ljava/lang/Object;)Ljava/lang/Object; + public fun asin-Udx-57Q (Lspace/kscience/kmath/structures/Buffer;)[D + public synthetic fun asinh (Ljava/lang/Object;)Ljava/lang/Object; + public fun asinh-Udx-57Q (Lspace/kscience/kmath/structures/Buffer;)[D + public synthetic fun atan (Ljava/lang/Object;)Ljava/lang/Object; + public fun atan-Udx-57Q (Lspace/kscience/kmath/structures/Buffer;)[D + public synthetic fun atanh (Ljava/lang/Object;)Ljava/lang/Object; + public fun atanh-Udx-57Q (Lspace/kscience/kmath/structures/Buffer;)[D + 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 cos (Ljava/lang/Object;)Ljava/lang/Object; + public fun cos-Udx-57Q (Lspace/kscience/kmath/structures/Buffer;)[D + public synthetic fun cosh (Ljava/lang/Object;)Ljava/lang/Object; + public fun cosh-Udx-57Q (Lspace/kscience/kmath/structures/Buffer;)[D + public synthetic fun div (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; + public synthetic fun div (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; + public fun div (Lspace/kscience/kmath/structures/Buffer;Ljava/lang/Number;)Lspace/kscience/kmath/structures/Buffer; + public fun div (Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; + public synthetic fun divide (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; + public fun divide-CZ9oacQ (Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)[D + public synthetic fun exp (Ljava/lang/Object;)Ljava/lang/Object; + public fun exp-Udx-57Q (Lspace/kscience/kmath/structures/Buffer;)[D + public synthetic fun getOne ()Ljava/lang/Object; + public fun getOne ()Lspace/kscience/kmath/structures/Buffer; + public final fun getSize ()I + public synthetic fun getZero ()Ljava/lang/Object; + public fun getZero ()Lspace/kscience/kmath/structures/Buffer; + public synthetic fun leftSideNumberOperation (Ljava/lang/String;Ljava/lang/Number;Ljava/lang/Object;)Ljava/lang/Object; + public fun leftSideNumberOperation (Ljava/lang/String;Ljava/lang/Number;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; + public fun leftSideNumberOperationFunction (Ljava/lang/String;)Lkotlin/jvm/functions/Function2; + public synthetic fun ln (Ljava/lang/Object;)Ljava/lang/Object; + public fun ln-Udx-57Q (Lspace/kscience/kmath/structures/Buffer;)[D + public synthetic fun minus (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; + public fun minus (Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; + public synthetic fun multiply (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; + public fun multiply-CZ9oacQ (Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)[D + public synthetic fun number (Ljava/lang/Number;)Ljava/lang/Object; + public fun number (Ljava/lang/Number;)Lspace/kscience/kmath/structures/Buffer; + public synthetic fun plus (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; + public fun plus (Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; + public synthetic fun pow (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; + public fun pow (Lspace/kscience/kmath/structures/Buffer;Ljava/lang/Number;)Lspace/kscience/kmath/structures/Buffer; + public synthetic fun power (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; + public fun power-CZ9oacQ (Lspace/kscience/kmath/structures/Buffer;Ljava/lang/Number;)[D + public synthetic fun rightSideNumberOperation (Ljava/lang/String;Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; + public fun rightSideNumberOperation (Ljava/lang/String;Lspace/kscience/kmath/structures/Buffer;Ljava/lang/Number;)Lspace/kscience/kmath/structures/Buffer; + public fun rightSideNumberOperationFunction (Ljava/lang/String;)Lkotlin/jvm/functions/Function2; + public synthetic fun scale (Ljava/lang/Object;D)Ljava/lang/Object; + public fun scale-CZ9oacQ (Lspace/kscience/kmath/structures/Buffer;D)[D + public synthetic fun sin (Ljava/lang/Object;)Ljava/lang/Object; + public fun sin-Udx-57Q (Lspace/kscience/kmath/structures/Buffer;)[D + public synthetic fun sinh (Ljava/lang/Object;)Ljava/lang/Object; + public fun sinh-Udx-57Q (Lspace/kscience/kmath/structures/Buffer;)[D + public synthetic fun sqrt (Ljava/lang/Object;)Ljava/lang/Object; + public fun sqrt (Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; + public synthetic fun tan (Ljava/lang/Object;)Ljava/lang/Object; + public fun tan-Udx-57Q (Lspace/kscience/kmath/structures/Buffer;)[D + public synthetic fun tanh (Ljava/lang/Object;)Ljava/lang/Object; + public fun tanh-Udx-57Q (Lspace/kscience/kmath/structures/Buffer;)[D + 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 synthetic fun times (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; + public fun times (Lspace/kscience/kmath/structures/Buffer;Ljava/lang/Number;)Lspace/kscience/kmath/structures/Buffer; + public fun times (Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; + public synthetic fun unaryMinus (Ljava/lang/Object;)Ljava/lang/Object; + 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 final class space/kscience/kmath/structures/DoubleBufferFieldOperations : space/kscience/kmath/operations/ExtendedFieldOperations { + public static final field INSTANCE Lspace/kscience/kmath/structures/DoubleBufferFieldOperations; + public synthetic fun acos (Ljava/lang/Object;)Ljava/lang/Object; + public fun acos-Udx-57Q (Lspace/kscience/kmath/structures/Buffer;)[D + public synthetic fun acosh (Ljava/lang/Object;)Ljava/lang/Object; + public fun acosh-Udx-57Q (Lspace/kscience/kmath/structures/Buffer;)[D + public synthetic fun add (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; + public fun add-CZ9oacQ (Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)[D + public synthetic fun asin (Ljava/lang/Object;)Ljava/lang/Object; + public fun asin-Udx-57Q (Lspace/kscience/kmath/structures/Buffer;)[D + public synthetic fun asinh (Ljava/lang/Object;)Ljava/lang/Object; + public fun asinh-Udx-57Q (Lspace/kscience/kmath/structures/Buffer;)[D + public synthetic fun atan (Ljava/lang/Object;)Ljava/lang/Object; + public fun atan-Udx-57Q (Lspace/kscience/kmath/structures/Buffer;)[D + public synthetic fun atanh (Ljava/lang/Object;)Ljava/lang/Object; + public fun atanh-Udx-57Q (Lspace/kscience/kmath/structures/Buffer;)[D + 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 cos (Ljava/lang/Object;)Ljava/lang/Object; + public fun cos-Udx-57Q (Lspace/kscience/kmath/structures/Buffer;)[D + public synthetic fun cosh (Ljava/lang/Object;)Ljava/lang/Object; + public fun cosh-Udx-57Q (Lspace/kscience/kmath/structures/Buffer;)[D + public synthetic fun div (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; + public fun div (Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; + public synthetic fun divide (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; + public fun divide-CZ9oacQ (Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)[D + public synthetic fun exp (Ljava/lang/Object;)Ljava/lang/Object; + public fun exp-Udx-57Q (Lspace/kscience/kmath/structures/Buffer;)[D + public synthetic fun ln (Ljava/lang/Object;)Ljava/lang/Object; + public fun ln-Udx-57Q (Lspace/kscience/kmath/structures/Buffer;)[D + public synthetic fun minus (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; + public fun minus (Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; + public synthetic fun multiply (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; + public fun multiply-CZ9oacQ (Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)[D + public synthetic fun plus (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; + public fun plus (Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; + public synthetic fun pow (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; + public fun pow (Lspace/kscience/kmath/structures/Buffer;Ljava/lang/Number;)Lspace/kscience/kmath/structures/Buffer; + public synthetic fun power (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; + public fun power-CZ9oacQ (Lspace/kscience/kmath/structures/Buffer;Ljava/lang/Number;)[D + public synthetic fun sin (Ljava/lang/Object;)Ljava/lang/Object; + public fun sin-Udx-57Q (Lspace/kscience/kmath/structures/Buffer;)[D + public synthetic fun sinh (Ljava/lang/Object;)Ljava/lang/Object; + public fun sinh-Udx-57Q (Lspace/kscience/kmath/structures/Buffer;)[D + public synthetic fun sqrt (Ljava/lang/Object;)Ljava/lang/Object; + public fun sqrt (Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; + public synthetic fun tan (Ljava/lang/Object;)Ljava/lang/Object; + public fun tan-Udx-57Q (Lspace/kscience/kmath/structures/Buffer;)[D + public synthetic fun tanh (Ljava/lang/Object;)Ljava/lang/Object; + public fun tanh-Udx-57Q (Lspace/kscience/kmath/structures/Buffer;)[D + public synthetic fun times (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; + public fun times (Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; + public synthetic fun unaryMinus (Ljava/lang/Object;)Ljava/lang/Object; + public fun unaryMinus-Udx-57Q (Lspace/kscience/kmath/structures/Buffer;)[D + 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 final class space/kscience/kmath/structures/DoubleBufferKt { + public static final fun DoubleBuffer (ILkotlin/jvm/functions/Function1;)[D + public static final fun DoubleBuffer ([D)[D + public static final fun asBuffer ([D)[D + public static final fun contentEquals-2c9zdjM ([D[D)Z + public static final fun toDoubleArray (Lspace/kscience/kmath/structures/Buffer;)[D +} + public abstract interface class space/kscience/kmath/structures/FlaggedBuffer : space/kscience/kmath/structures/Buffer { public abstract fun getFlag (I)B } -public final class space/kscience/kmath/structures/FlaggedBuffer$DefaultImpls { - public static fun contentEquals (Lspace/kscience/kmath/structures/FlaggedBuffer;Lspace/kscience/kmath/structures/Buffer;)Z -} - public final class space/kscience/kmath/structures/FlaggedBufferKt { - public static final fun forEachValid (Lspace/kscience/kmath/structures/FlaggedRealBuffer;Lkotlin/jvm/functions/Function1;)V + public static final fun forEachValid (Lspace/kscience/kmath/structures/FlaggedDoubleBuffer;Lkotlin/jvm/functions/Function1;)V public static final fun hasFlag (Lspace/kscience/kmath/structures/FlaggedBuffer;ILspace/kscience/kmath/structures/ValueFlag;)Z public static final fun isMissing (Lspace/kscience/kmath/structures/FlaggedBuffer;I)Z public static final fun isValid (Lspace/kscience/kmath/structures/FlaggedBuffer;I)Z } -public final class space/kscience/kmath/structures/FlaggedRealBuffer : space/kscience/kmath/structures/Buffer, space/kscience/kmath/structures/FlaggedBuffer { +public final class space/kscience/kmath/structures/FlaggedDoubleBuffer : space/kscience/kmath/structures/Buffer, space/kscience/kmath/structures/FlaggedBuffer { public fun ([D[B)V - public fun contentEquals (Lspace/kscience/kmath/structures/Buffer;)Z public fun get (I)Ljava/lang/Double; public synthetic fun get (I)Ljava/lang/Object; public fun getFlag (I)B @@ -2346,8 +2325,6 @@ public final class space/kscience/kmath/structures/FlaggedRealBuffer : space/ksc public final class space/kscience/kmath/structures/FloatBuffer : space/kscience/kmath/structures/MutableBuffer { public static final synthetic fun box-impl ([F)Lspace/kscience/kmath/structures/FloatBuffer; public static fun constructor-impl ([F)[F - public fun contentEquals (Lspace/kscience/kmath/structures/Buffer;)Z - public static fun contentEquals-impl ([FLspace/kscience/kmath/structures/Buffer;)Z public fun copy ()Lspace/kscience/kmath/structures/MutableBuffer; public static fun copy-impl ([F)Lspace/kscience/kmath/structures/MutableBuffer; public fun equals (Ljava/lang/Object;)Z @@ -2376,14 +2353,12 @@ 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 { public static final synthetic fun box-impl ([I)Lspace/kscience/kmath/structures/IntBuffer; public static fun constructor-impl ([I)[I - public fun contentEquals (Lspace/kscience/kmath/structures/Buffer;)Z - public static fun contentEquals-impl ([ILspace/kscience/kmath/structures/Buffer;)Z public fun copy ()Lspace/kscience/kmath/structures/MutableBuffer; public static fun copy-impl ([I)Lspace/kscience/kmath/structures/MutableBuffer; public fun equals (Ljava/lang/Object;)Z @@ -2412,14 +2387,12 @@ 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 { public static final synthetic fun box-impl (Ljava/util/List;)Lspace/kscience/kmath/structures/ListBuffer; public static fun constructor-impl (Ljava/util/List;)Ljava/util/List; - public fun contentEquals (Lspace/kscience/kmath/structures/Buffer;)Z - public static fun contentEquals-impl (Ljava/util/List;Lspace/kscience/kmath/structures/Buffer;)Z public fun equals (Ljava/lang/Object;)Z public static fun equals-impl (Ljava/util/List;Ljava/lang/Object;)Z public static final fun equals-impl0 (Ljava/util/List;Ljava/util/List;)Z @@ -2440,8 +2413,6 @@ public final class space/kscience/kmath/structures/ListBuffer : space/kscience/k public final class space/kscience/kmath/structures/LongBuffer : space/kscience/kmath/structures/MutableBuffer { public static final synthetic fun box-impl ([J)Lspace/kscience/kmath/structures/LongBuffer; public static fun constructor-impl ([J)[J - public fun contentEquals (Lspace/kscience/kmath/structures/Buffer;)Z - public static fun contentEquals-impl ([JLspace/kscience/kmath/structures/Buffer;)Z public fun copy ()Lspace/kscience/kmath/structures/MutableBuffer; public static fun copy-impl ([J)Lspace/kscience/kmath/structures/MutableBuffer; public fun equals (Ljava/lang/Object;)Z @@ -2470,13 +2441,12 @@ 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 { public static final field Companion Lspace/kscience/kmath/structures/MemoryBuffer$Companion; public fun (Lspace/kscience/kmath/memory/Memory;Lspace/kscience/kmath/memory/MemorySpec;)V - public fun contentEquals (Lspace/kscience/kmath/structures/Buffer;)Z public fun get (I)Ljava/lang/Object; protected final fun getMemory ()Lspace/kscience/kmath/memory/Memory; public fun getSize ()I @@ -2498,18 +2468,16 @@ public abstract interface class space/kscience/kmath/structures/MutableBuffer : public final class space/kscience/kmath/structures/MutableBuffer$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 real-8hrHhI4 (ILkotlin/jvm/functions/Function1;)[D -} - -public final class space/kscience/kmath/structures/MutableBuffer$DefaultImpls { - public static fun contentEquals (Lspace/kscience/kmath/structures/MutableBuffer;Lspace/kscience/kmath/structures/Buffer;)Z + public final fun double-CZ9oacQ (ILkotlin/jvm/functions/Function1;)[D + public final fun float-YxruXGw (ILkotlin/jvm/functions/Function1;)[F + public final fun int-Ye6GY2U (ILkotlin/jvm/functions/Function1;)[I + public final fun long-BuQOeTY (ILkotlin/jvm/functions/Function1;)[J + public final fun short-1yRgbGw (ILkotlin/jvm/functions/Function1;)[S } public final class space/kscience/kmath/structures/MutableListBuffer : space/kscience/kmath/structures/MutableBuffer { public static final synthetic fun box-impl (Ljava/util/List;)Lspace/kscience/kmath/structures/MutableListBuffer; public static fun constructor-impl (Ljava/util/List;)Ljava/util/List; - public fun contentEquals (Lspace/kscience/kmath/structures/Buffer;)Z - public static fun contentEquals-impl (Ljava/util/List;Lspace/kscience/kmath/structures/Buffer;)Z public fun copy ()Lspace/kscience/kmath/structures/MutableBuffer; public static fun copy-impl (Ljava/util/List;)Lspace/kscience/kmath/structures/MutableBuffer; public fun equals (Ljava/lang/Object;)Z @@ -2546,8 +2514,6 @@ public final class space/kscience/kmath/structures/MutableMemoryBuffer$Companion public final class space/kscience/kmath/structures/ReadOnlyBuffer : space/kscience/kmath/structures/Buffer { public static final synthetic fun box-impl (Lspace/kscience/kmath/structures/MutableBuffer;)Lspace/kscience/kmath/structures/ReadOnlyBuffer; public static fun constructor-impl (Lspace/kscience/kmath/structures/MutableBuffer;)Lspace/kscience/kmath/structures/MutableBuffer; - public fun contentEquals (Lspace/kscience/kmath/structures/Buffer;)Z - public static fun contentEquals-impl (Lspace/kscience/kmath/structures/MutableBuffer;Lspace/kscience/kmath/structures/Buffer;)Z public fun equals (Ljava/lang/Object;)Z public static fun equals-impl (Lspace/kscience/kmath/structures/MutableBuffer;Ljava/lang/Object;)Z public static final fun equals-impl0 (Lspace/kscience/kmath/structures/MutableBuffer;Lspace/kscience/kmath/structures/MutableBuffer;)Z @@ -2565,198 +2531,9 @@ public final class space/kscience/kmath/structures/ReadOnlyBuffer : space/kscien public final synthetic fun unbox-impl ()Lspace/kscience/kmath/structures/MutableBuffer; } -public final class space/kscience/kmath/structures/RealBuffer : space/kscience/kmath/structures/MutableBuffer { - public static final synthetic fun box-impl ([D)Lspace/kscience/kmath/structures/RealBuffer; - public static fun constructor-impl ([D)[D - public fun contentEquals (Lspace/kscience/kmath/structures/Buffer;)Z - public static fun contentEquals-impl ([DLspace/kscience/kmath/structures/Buffer;)Z - public synthetic fun copy ()Lspace/kscience/kmath/structures/MutableBuffer; - public fun copy-88GwAag ()[D - public static fun copy-88GwAag ([D)[D - public fun equals (Ljava/lang/Object;)Z - public static fun equals-impl ([DLjava/lang/Object;)Z - public static final fun equals-impl0 ([D[D)Z - public fun get (I)Ljava/lang/Double; - public synthetic fun get (I)Ljava/lang/Object; - public static fun get-impl ([DI)Ljava/lang/Double; - public final fun getArray ()[D - public fun getSize ()I - public static fun getSize-impl ([D)I - public fun hashCode ()I - public static fun hashCode-impl ([D)I - public synthetic fun iterator ()Ljava/util/Iterator; - public fun iterator ()Lkotlin/collections/DoubleIterator; - public static fun iterator-impl ([D)Lkotlin/collections/DoubleIterator; - public fun set (ID)V - public synthetic fun set (ILjava/lang/Object;)V - public static fun set-impl ([DID)V - public fun toString ()Ljava/lang/String; - public static fun toString-impl ([D)Ljava/lang/String; - public final synthetic fun unbox-impl ()[D -} - -public final class space/kscience/kmath/structures/RealBufferField : space/kscience/kmath/operations/ExtendedField { - public fun (I)V - public synthetic fun acos (Ljava/lang/Object;)Ljava/lang/Object; - public fun acos-LGjt3BI (Lspace/kscience/kmath/structures/Buffer;)[D - public synthetic fun acosh (Ljava/lang/Object;)Ljava/lang/Object; - public fun acosh-LGjt3BI (Lspace/kscience/kmath/structures/Buffer;)[D - public synthetic fun add (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun add-8hrHhI4 (Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)[D - public synthetic fun asin (Ljava/lang/Object;)Ljava/lang/Object; - public fun asin-LGjt3BI (Lspace/kscience/kmath/structures/Buffer;)[D - public synthetic fun asinh (Ljava/lang/Object;)Ljava/lang/Object; - public fun asinh-LGjt3BI (Lspace/kscience/kmath/structures/Buffer;)[D - public synthetic fun atan (Ljava/lang/Object;)Ljava/lang/Object; - public fun atan-LGjt3BI (Lspace/kscience/kmath/structures/Buffer;)[D - public synthetic fun atanh (Ljava/lang/Object;)Ljava/lang/Object; - public fun atanh-LGjt3BI (Lspace/kscience/kmath/structures/Buffer;)[D - 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 cos (Ljava/lang/Object;)Ljava/lang/Object; - public fun cos-LGjt3BI (Lspace/kscience/kmath/structures/Buffer;)[D - public synthetic fun cosh (Ljava/lang/Object;)Ljava/lang/Object; - public fun cosh-LGjt3BI (Lspace/kscience/kmath/structures/Buffer;)[D - public synthetic fun div (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; - public synthetic fun div (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun div (Lspace/kscience/kmath/structures/Buffer;Ljava/lang/Number;)Lspace/kscience/kmath/structures/Buffer; - public fun div (Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; - public synthetic fun divide (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun divide-8hrHhI4 (Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)[D - public synthetic fun exp (Ljava/lang/Object;)Ljava/lang/Object; - public fun exp-LGjt3BI (Lspace/kscience/kmath/structures/Buffer;)[D - public synthetic fun getOne ()Ljava/lang/Object; - public fun getOne ()Lspace/kscience/kmath/structures/Buffer; - public final fun getSize ()I - public synthetic fun getZero ()Ljava/lang/Object; - public fun getZero ()Lspace/kscience/kmath/structures/Buffer; - public synthetic fun leftSideNumberOperation (Ljava/lang/String;Ljava/lang/Number;Ljava/lang/Object;)Ljava/lang/Object; - public fun leftSideNumberOperation (Ljava/lang/String;Ljava/lang/Number;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; - public fun leftSideNumberOperationFunction (Ljava/lang/String;)Lkotlin/jvm/functions/Function2; - public synthetic fun ln (Ljava/lang/Object;)Ljava/lang/Object; - public fun ln-LGjt3BI (Lspace/kscience/kmath/structures/Buffer;)[D - public synthetic fun minus (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun minus (Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; - public synthetic fun multiply (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun multiply-8hrHhI4 (Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)[D - public synthetic fun number (Ljava/lang/Number;)Ljava/lang/Object; - public fun number (Ljava/lang/Number;)Lspace/kscience/kmath/structures/Buffer; - public synthetic fun plus (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun plus (Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; - public synthetic fun pow (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; - public fun pow (Lspace/kscience/kmath/structures/Buffer;Ljava/lang/Number;)Lspace/kscience/kmath/structures/Buffer; - public synthetic fun power (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; - public fun power-8hrHhI4 (Lspace/kscience/kmath/structures/Buffer;Ljava/lang/Number;)[D - public synthetic fun rightSideNumberOperation (Ljava/lang/String;Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; - public fun rightSideNumberOperation (Ljava/lang/String;Lspace/kscience/kmath/structures/Buffer;Ljava/lang/Number;)Lspace/kscience/kmath/structures/Buffer; - public fun rightSideNumberOperationFunction (Ljava/lang/String;)Lkotlin/jvm/functions/Function2; - public synthetic fun scale (Ljava/lang/Object;D)Ljava/lang/Object; - public fun scale-8hrHhI4 (Lspace/kscience/kmath/structures/Buffer;D)[D - public synthetic fun sin (Ljava/lang/Object;)Ljava/lang/Object; - public fun sin-LGjt3BI (Lspace/kscience/kmath/structures/Buffer;)[D - public synthetic fun sinh (Ljava/lang/Object;)Ljava/lang/Object; - public fun sinh-LGjt3BI (Lspace/kscience/kmath/structures/Buffer;)[D - public synthetic fun sqrt (Ljava/lang/Object;)Ljava/lang/Object; - public fun sqrt (Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; - public synthetic fun tan (Ljava/lang/Object;)Ljava/lang/Object; - public fun tan-LGjt3BI (Lspace/kscience/kmath/structures/Buffer;)[D - public synthetic fun tanh (Ljava/lang/Object;)Ljava/lang/Object; - public fun tanh-LGjt3BI (Lspace/kscience/kmath/structures/Buffer;)[D - 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 synthetic fun times (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun times (Lspace/kscience/kmath/structures/Buffer;Ljava/lang/Number;)Lspace/kscience/kmath/structures/Buffer; - public fun times (Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; - public synthetic fun unaryMinus (Ljava/lang/Object;)Ljava/lang/Object; - 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 final class space/kscience/kmath/structures/RealBufferFieldOperations : space/kscience/kmath/operations/ExtendedFieldOperations { - public static final field INSTANCE Lspace/kscience/kmath/structures/RealBufferFieldOperations; - public synthetic fun acos (Ljava/lang/Object;)Ljava/lang/Object; - public fun acos-LGjt3BI (Lspace/kscience/kmath/structures/Buffer;)[D - public synthetic fun acosh (Ljava/lang/Object;)Ljava/lang/Object; - public fun acosh-LGjt3BI (Lspace/kscience/kmath/structures/Buffer;)[D - public synthetic fun add (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun add-8hrHhI4 (Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)[D - public synthetic fun asin (Ljava/lang/Object;)Ljava/lang/Object; - public fun asin-LGjt3BI (Lspace/kscience/kmath/structures/Buffer;)[D - public synthetic fun asinh (Ljava/lang/Object;)Ljava/lang/Object; - public fun asinh-LGjt3BI (Lspace/kscience/kmath/structures/Buffer;)[D - public synthetic fun atan (Ljava/lang/Object;)Ljava/lang/Object; - public fun atan-LGjt3BI (Lspace/kscience/kmath/structures/Buffer;)[D - public synthetic fun atanh (Ljava/lang/Object;)Ljava/lang/Object; - public fun atanh-LGjt3BI (Lspace/kscience/kmath/structures/Buffer;)[D - 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 cos (Ljava/lang/Object;)Ljava/lang/Object; - public fun cos-LGjt3BI (Lspace/kscience/kmath/structures/Buffer;)[D - public synthetic fun cosh (Ljava/lang/Object;)Ljava/lang/Object; - public fun cosh-LGjt3BI (Lspace/kscience/kmath/structures/Buffer;)[D - public synthetic fun div (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun div (Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; - public synthetic fun divide (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun divide-8hrHhI4 (Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)[D - public synthetic fun exp (Ljava/lang/Object;)Ljava/lang/Object; - public fun exp-LGjt3BI (Lspace/kscience/kmath/structures/Buffer;)[D - public synthetic fun ln (Ljava/lang/Object;)Ljava/lang/Object; - public fun ln-LGjt3BI (Lspace/kscience/kmath/structures/Buffer;)[D - public synthetic fun minus (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun minus (Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; - public synthetic fun multiply (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun multiply-8hrHhI4 (Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)[D - public synthetic fun plus (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun plus (Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; - public synthetic fun pow (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; - public fun pow (Lspace/kscience/kmath/structures/Buffer;Ljava/lang/Number;)Lspace/kscience/kmath/structures/Buffer; - public synthetic fun power (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; - public fun power-8hrHhI4 (Lspace/kscience/kmath/structures/Buffer;Ljava/lang/Number;)[D - public synthetic fun sin (Ljava/lang/Object;)Ljava/lang/Object; - public fun sin-LGjt3BI (Lspace/kscience/kmath/structures/Buffer;)[D - public synthetic fun sinh (Ljava/lang/Object;)Ljava/lang/Object; - public fun sinh-LGjt3BI (Lspace/kscience/kmath/structures/Buffer;)[D - public synthetic fun sqrt (Ljava/lang/Object;)Ljava/lang/Object; - public fun sqrt (Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; - public synthetic fun tan (Ljava/lang/Object;)Ljava/lang/Object; - public fun tan-LGjt3BI (Lspace/kscience/kmath/structures/Buffer;)[D - public synthetic fun tanh (Ljava/lang/Object;)Ljava/lang/Object; - public fun tanh-LGjt3BI (Lspace/kscience/kmath/structures/Buffer;)[D - public synthetic fun times (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun times (Lspace/kscience/kmath/structures/Buffer;Lspace/kscience/kmath/structures/Buffer;)Lspace/kscience/kmath/structures/Buffer; - public synthetic fun unaryMinus (Ljava/lang/Object;)Ljava/lang/Object; - public fun unaryMinus-LGjt3BI (Lspace/kscience/kmath/structures/Buffer;)[D - 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 final class space/kscience/kmath/structures/RealBufferKt { - public static final fun RealBuffer (ILkotlin/jvm/functions/Function1;)[D - 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 final class space/kscience/kmath/structures/ShortBuffer : space/kscience/kmath/structures/MutableBuffer { public static final synthetic fun box-impl ([S)Lspace/kscience/kmath/structures/ShortBuffer; public static fun constructor-impl ([S)[S - public fun contentEquals (Lspace/kscience/kmath/structures/Buffer;)Z - public static fun contentEquals-impl ([SLspace/kscience/kmath/structures/Buffer;)Z public fun copy ()Lspace/kscience/kmath/structures/MutableBuffer; public static fun copy-impl ([S)Lspace/kscience/kmath/structures/MutableBuffer; public fun equals (Ljava/lang/Object;)Z @@ -2785,7 +2562,7 @@ 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 { @@ -2800,7 +2577,6 @@ public final class space/kscience/kmath/structures/ValueFlag : java/lang/Enum { public final class space/kscience/kmath/structures/VirtualBuffer : space/kscience/kmath/structures/Buffer { public fun (ILkotlin/jvm/functions/Function1;)V - public fun contentEquals (Lspace/kscience/kmath/structures/Buffer;)Z public fun get (I)Ljava/lang/Object; public fun getSize ()I public fun iterator ()Ljava/util/Iterator; diff --git a/kmath-core/build.gradle.kts b/kmath-core/build.gradle.kts index 8d30f1d6e..2fed3eb2f 100644 --- a/kmath-core/build.gradle.kts +++ b/kmath-core/build.gradle.kts @@ -23,13 +23,13 @@ readme { description = """ Algebraic structures like rings, spaces and fields. """.trimIndent(), - ref = "src/commonMain/kotlin/kscience/kmath/operations/Algebra.kt" + ref = "src/commonMain/kotlin/space/kscience/kmath/operations/Algebra.kt" ) feature( id = "nd", description = "Many-dimensional structures and operations on them.", - ref = "src/commonMain/kotlin/kscience/kmath/structures/NDStructure.kt" + ref = "src/commonMain/kotlin/space/kscience/kmath/structures/StructureND.kt" ) feature( @@ -37,13 +37,13 @@ readme { description = """ Basic linear algebra operations (sums, products, etc.), backed by the `Space` API. Advanced linear algebra operations like matrix inversion and LU decomposition. """.trimIndent(), - ref = "src/commonMain/kotlin/kscience/kmath/operations/Algebra.kt" + ref = "src/commonMain/kotlin/space/kscience/kmath/operations/Algebra.kt" ) feature( id = "buffers", description = "One-dimensional structure", - ref = "src/commonMain/kotlin/kscience/kmath/structures/Buffers.kt" + ref = "src/commonMain/kotlin/space/kscience/kmath/structures/Buffers.kt" ) feature( @@ -53,18 +53,18 @@ readme { 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. """.trimIndent(), - ref = "src/commonMain/kotlin/kscience/kmath/expressions" + ref = "src/commonMain/kotlin/space/kscience/kmath/expressions" ) feature( id = "domains", description = "Domains", - ref = "src/commonMain/kotlin/kscience/kmath/domains" + ref = "src/commonMain/kotlin/space/kscience/kmath/domains" ) feature( id = "autodif", description = "Automatic differentiation", - ref = "src/commonMain/kotlin/kscience/kmath/expressions/SimpleAutoDiff.kt" + ref = "src/commonMain/kotlin/space/kscience/kmath/expressions/SimpleAutoDiff.kt" ) } diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/RealDomain.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/DoubleDomain.kt similarity index 95% rename from kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/RealDomain.kt rename to kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/DoubleDomain.kt index c20cbfec1..057a4a344 100644 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/RealDomain.kt +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/DoubleDomain.kt @@ -23,7 +23,7 @@ import space.kscience.kmath.misc.UnstableKMathAPI * @author Alexander Nozik */ @UnstableKMathAPI -public interface RealDomain : Domain { +public interface DoubleDomain : Domain { /** * Global lower edge diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/HyperSquareDomain.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/HyperSquareDomain.kt index c948f8672..a15d04b4c 100644 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/HyperSquareDomain.kt +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/HyperSquareDomain.kt @@ -27,7 +27,7 @@ import space.kscience.kmath.structures.indices * @author Alexander Nozik */ @UnstableKMathAPI -public class HyperSquareDomain(private val lower: Buffer, private val upper: Buffer) : RealDomain { +public class HyperSquareDomain(private val lower: Buffer, private val upper: Buffer) : DoubleDomain { public override val dimension: Int get() = lower.size public override operator fun contains(point: Point): Boolean = point.indices.all { i -> diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/UnconstrainedDomain.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/UnconstrainedDomain.kt index 002caac50..79f33fe05 100644 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/UnconstrainedDomain.kt +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/UnconstrainedDomain.kt @@ -19,7 +19,7 @@ import space.kscience.kmath.linear.Point import space.kscience.kmath.misc.UnstableKMathAPI @UnstableKMathAPI -public class UnconstrainedDomain(public override val dimension: Int) : RealDomain { +public class UnconstrainedDomain(public override val dimension: Int) : DoubleDomain { public override operator fun contains(point: Point): Boolean = true public override fun getLowerBound(num: Int): Double = Double.NEGATIVE_INFINITY diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/UnivariateDomain.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/UnivariateDomain.kt index d20349960..6f737bd38 100644 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/UnivariateDomain.kt +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/UnivariateDomain.kt @@ -4,7 +4,7 @@ import space.kscience.kmath.linear.Point import space.kscience.kmath.misc.UnstableKMathAPI @UnstableKMathAPI -public inline class UnivariateDomain(public val range: ClosedFloatingPointRange) : RealDomain { +public inline class UnivariateDomain(public val range: ClosedFloatingPointRange) : DoubleDomain { public override val dimension: Int get() = 1 public operator fun contains(d: Double): Boolean = range.contains(d) 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/expressions/SimpleAutoDiff.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/SimpleAutoDiff.kt index 4b5b3311e..4b0d402ed 100644 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/SimpleAutoDiff.kt +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/SimpleAutoDiff.kt @@ -198,7 +198,7 @@ public open class SimpleAutoDiffField>( * Example: * ``` * val x by symbol // define variable(s) and their values - * val y = RealField.withAutoDiff() { sqr(x) + 5 * x + 3 } // write formulate in deriv context + * val y = DoubleField.withAutoDiff() { sqr(x) + 5 * x + 3 } // write formulate in deriv context * assertEquals(17.0, y.x) // the value of result (y) * assertEquals(9.0, x.d) // dy/dx * ``` 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..662cd6409 --- /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, + ): BufferedRingND = AlgebraND.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..6a587270b --- /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.DoubleBuffer +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(DoubleField, ::DoubleBuffer) + + /** + * 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..7a6495638 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 @@ -3,8 +3,8 @@ 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.DoubleBuffer import space.kscience.kmath.structures.MutableBuffer import space.kscience.kmath.structures.MutableBufferFactory @@ -12,7 +12,7 @@ import space.kscience.kmath.structures.MutableBufferFactory * 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(::DoubleBuffer, 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 = ::DoubleBuffer + 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..868f74cc6 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. @@ -24,11 +19,10 @@ 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 - override fun hashCode(): Int = origin.hashCode() override fun toString(): String { return "MatrixWrapper(matrix=$origin, features=$features)" } @@ -61,35 +55,25 @@ 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..e80ee5ebd 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 @@ -8,29 +8,10 @@ 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) override operator fun get(i: Int, j: Int): T = generator(i, j) - - 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] } - } - - override fun hashCode(): Int { - var result = rowNum - result = 31 * result + colNum - result = 31 * result + generator.hashCode() - return result - } - - } diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/NDAlgebra.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/AlgebraND.kt similarity index 66% rename from kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/NDAlgebra.kt rename to kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/AlgebraND.kt index e3ffae74b..b23ce947d 100644 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/NDAlgebra.kt +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/AlgebraND.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 AlgebraND> { /** * The shape of ND-structures this algebra operates on. */ @@ -33,43 +35,67 @@ public interface NDAlgebra> { /** * Produces a new NDStructure using given initializer function. */ - public fun produce(initializer: C.(IntArray) -> T): NDStructure + public fun produce(initializer: C.(IntArray) -> T): StructureND /** * Maps elements from one structure to another one by applying [transform] to them. */ - public fun NDStructure.map(transform: C.(T) -> T): NDStructure + public fun StructureND.map(transform: C.(T) -> T): StructureND /** * Maps elements from one structure to another one by applying [transform] to them alongside with their indices. */ - public fun NDStructure.mapIndexed(transform: C.(index: IntArray, T) -> T): NDStructure + public fun StructureND.mapIndexed(transform: C.(index: IntArray, T) -> T): StructureND /** * Combines two structures into one. */ - public fun combine(a: NDStructure, b: NDStructure, transform: C.(T, T) -> T): NDStructure + public fun combine(a: StructureND, b: StructureND, transform: C.(T, T) -> T): StructureND /** - * Element-wise invocation of function working on [T] on a [NDStructure]. + * Element-wise invocation of function working on [T] on a [StructureND]. */ - public operator fun Function1.invoke(structure: NDStructure): NDStructure = + public operator fun Function1.invoke(structure: StructureND): StructureND = 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: StructureND, 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 AlgebraND.getFeature(structure: StructureND): 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 > AlgebraND.checkShape(vararg structures: StructureND): Array> = + structures + .map(StructureND::shape) + .singleOrNull { !shape.contentEquals(it) } + ?.let>> { throw ShapeMismatchException(shape, it) } + ?: structures /** * Checks if given element is consistent with this context. @@ -77,19 +103,19 @@ 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 > AlgebraND.checkShape(element: StructureND): StructureND { if (!element.shape.contentEquals(shape)) throw ShapeMismatchException(shape, element.shape) return element } /** - * Space of [NDStructure]. + * Space of [StructureND]. * * @param T the type of the element contained in ND structure. * @param N the type of ND structure. * @param S the type of space of structure elements. */ -public interface NDGroup> : Group>, NDAlgebra { +public interface GroupND> : Group>, AlgebraND { /** * Element-wise addition. * @@ -97,7 +123,7 @@ public interface NDGroup> : Group>, NDAlgebra, b: NDStructure): NDStructure = + public override fun add(a: StructureND, b: StructureND): StructureND = combine(a, b) { aValue, bValue -> add(aValue, bValue) } // /** @@ -118,7 +144,7 @@ public interface NDGroup> : Group>, NDAlgebra.plus(arg: T): NDStructure = this.map { value -> add(arg, value) } + public operator fun StructureND.plus(arg: T): StructureND = this.map { value -> add(arg, value) } /** * Subtracts an element from ND structure of it. @@ -127,7 +153,7 @@ public interface NDGroup> : Group>, NDAlgebra.minus(arg: T): NDStructure = this.map { value -> add(arg, -value) } + public operator fun StructureND.minus(arg: T): StructureND = this.map { value -> add(arg, -value) } /** * Adds an element to ND structure of it. @@ -136,7 +162,7 @@ public interface NDGroup> : Group>, NDAlgebra): NDStructure = arg.map { value -> add(this@plus, value) } + public operator fun T.plus(arg: StructureND): StructureND = arg.map { value -> add(this@plus, value) } /** * Subtracts an ND structure from an element of it. @@ -145,19 +171,19 @@ public interface NDGroup> : Group>, NDAlgebra): NDStructure = arg.map { value -> add(-this@minus, value) } + public operator fun T.minus(arg: StructureND): StructureND = arg.map { value -> add(-this@minus, value) } public companion object } /** - * Ring of [NDStructure]. + * Ring of [StructureND]. * * @param T the type of the element contained in ND structure. * @param N the type of ND structure. * @param R the type of ring of structure elements. */ -public interface NDRing> : Ring>, NDGroup { +public interface RingND> : Ring>, GroupND { /** * Element-wise multiplication. * @@ -165,7 +191,7 @@ public interface NDRing> : Ring>, NDGroup { * @param b the multiplier. * @return the product. */ - public override fun multiply(a: NDStructure, b: NDStructure): NDStructure = + public override fun multiply(a: StructureND, b: StructureND): StructureND = combine(a, b) { aValue, bValue -> multiply(aValue, bValue) } //TODO move to extensions after KEEP-176 @@ -177,7 +203,7 @@ public interface NDRing> : Ring>, NDGroup { * @param arg the multiplier. * @return the product. */ - public operator fun NDStructure.times(arg: T): NDStructure = this.map { value -> multiply(arg, value) } + public operator fun StructureND.times(arg: T): StructureND = this.map { value -> multiply(arg, value) } /** * Multiplies an element by a ND structure of it. @@ -186,19 +212,19 @@ public interface NDRing> : Ring>, NDGroup { * @param arg the multiplier. * @return the product. */ - public operator fun T.times(arg: NDStructure): NDStructure = arg.map { value -> multiply(this@times, value) } + public operator fun T.times(arg: StructureND): StructureND = arg.map { value -> multiply(this@times, value) } public companion object } /** - * Field of [NDStructure]. + * Field of [StructureND]. * * @param T the type of the element contained in ND structure. * @param N the type of ND structure. * @param F the type field of structure elements. */ -public interface NDField> : Field>, NDRing, ScaleOperations> { +public interface FieldND> : Field>, RingND, ScaleOperations> { /** * Element-wise division. * @@ -206,7 +232,7 @@ public interface NDField> : Field>, NDRing, * @param b the divisor. * @return the quotient. */ - public override fun divide(a: NDStructure, b: NDStructure): NDStructure = + public override fun divide(a: StructureND, b: StructureND): StructureND = combine(a, b) { aValue, bValue -> divide(aValue, bValue) } //TODO move to extensions after KEEP-176 @@ -217,7 +243,7 @@ public interface NDField> : Field>, NDRing, * @param arg the divisor. * @return the quotient. */ - public operator fun NDStructure.div(arg: T): NDStructure = this.map { value -> divide(arg, value) } + public operator fun StructureND.div(arg: T): StructureND = this.map { value -> divide(arg, value) } /** * Divides an element by an ND structure of it. @@ -226,7 +252,7 @@ public interface NDField> : Field>, NDRing, * @param arg the divisor. * @return the quotient. */ - public operator fun T.div(arg: NDStructure): NDStructure = arg.map { divide(it, this@div) } + public operator fun T.div(arg: StructureND): StructureND = arg.map { divide(it, this@div) } // @ThreadLocal // public companion object { diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferNDAlgebra.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferAlgebraND.kt similarity index 50% rename from kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferNDAlgebra.kt rename to kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferAlgebraND.kt index 58d1ea7b1..67e94df74 100644 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferNDAlgebra.kt +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferAlgebraND.kt @@ -6,132 +6,132 @@ import space.kscience.kmath.structures.BufferFactory import kotlin.contracts.InvocationKind import kotlin.contracts.contract -public interface BufferNDAlgebra> : NDAlgebra { +public interface BufferAlgebraND> : AlgebraND { public val strides: Strides public val bufferFactory: BufferFactory - override fun produce(initializer: A.(IntArray) -> T): NDBuffer = NDBuffer( + override fun produce(initializer: A.(IntArray) -> T): BufferND = BufferND( strides, bufferFactory(strides.linearSize) { offset -> elementContext.initializer(strides.index(offset)) } ) - public val NDStructure.buffer: Buffer + public val StructureND.buffer: Buffer get() = when { - !shape.contentEquals(this@BufferNDAlgebra.shape) -> throw ShapeMismatchException( - this@BufferNDAlgebra.shape, + !shape.contentEquals(this@BufferAlgebraND.shape) -> throw ShapeMismatchException( + this@BufferAlgebraND.shape, shape ) - this is NDBuffer && this.strides == this@BufferNDAlgebra.strides -> this.buffer + this is BufferND && this.strides == this@BufferAlgebraND.strides -> this.buffer else -> bufferFactory(strides.linearSize) { offset -> get(strides.index(offset)) } } - override fun NDStructure.map(transform: A.(T) -> T): NDBuffer { + override fun StructureND.map(transform: A.(T) -> T): BufferND { val buffer = bufferFactory(strides.linearSize) { offset -> elementContext.transform(buffer[offset]) } - return NDBuffer(strides, buffer) + return BufferND(strides, buffer) } - override fun NDStructure.mapIndexed(transform: A.(index: IntArray, T) -> T): NDBuffer { + override fun StructureND.mapIndexed(transform: A.(index: IntArray, T) -> T): BufferND { val buffer = bufferFactory(strides.linearSize) { offset -> elementContext.transform( strides.index(offset), buffer[offset] ) } - return NDBuffer(strides, buffer) + return BufferND(strides, buffer) } - override fun combine(a: NDStructure, b: NDStructure, transform: A.(T, T) -> T): NDBuffer { + override fun combine(a: StructureND, b: StructureND, transform: A.(T, T) -> T): BufferND { val buffer = bufferFactory(strides.linearSize) { offset -> elementContext.transform(a.buffer[offset], b.buffer[offset]) } - return NDBuffer(strides, buffer) + return BufferND(strides, buffer) } } -public open class BufferedNDGroup>( +public open class BufferedGroupND>( final override val shape: IntArray, final override val elementContext: A, final override val bufferFactory: BufferFactory, -) : NDGroup, BufferNDAlgebra { +) : GroupND, BufferAlgebraND { override val strides: Strides = DefaultStrides(shape) - override val zero: NDBuffer by lazy { produce { zero } } - override fun NDStructure.unaryMinus(): NDStructure = produce { -get(it) } + override val zero: BufferND by lazy { produce { zero } } + override fun StructureND.unaryMinus(): StructureND = produce { -get(it) } } -public open class BufferedNDRing>( +public open class BufferedRingND>( shape: IntArray, elementContext: R, bufferFactory: BufferFactory, -) : BufferedNDGroup(shape, elementContext, bufferFactory), NDRing { - override val one: NDBuffer by lazy { produce { one } } +) : BufferedGroupND(shape, elementContext, bufferFactory), RingND { + override val one: BufferND by lazy { produce { one } } } -public open class BufferedNDField>( +public open class BufferedFieldND>( shape: IntArray, elementContext: R, bufferFactory: BufferFactory, -) : BufferedNDRing(shape, elementContext, bufferFactory), NDField { +) : BufferedRingND(shape, elementContext, bufferFactory), FieldND { - override fun scale(a: NDStructure, value: Double): NDStructure = a.map { it * value } + override fun scale(a: StructureND, value: Double): StructureND = a.map { it * value } } -// space factories -public fun > NDAlgebra.Companion.space( +// group factories +public fun > AlgebraND.Companion.group( space: A, bufferFactory: BufferFactory, vararg shape: Int, -): BufferedNDGroup = BufferedNDGroup(shape, space, bufferFactory) +): BufferedGroupND = BufferedGroupND(shape, space, bufferFactory) -public inline fun , R> A.ndSpace( +public inline fun , R> A.ndGroup( noinline bufferFactory: BufferFactory, vararg shape: Int, - action: BufferedNDGroup.() -> R, + action: BufferedGroupND.() -> R, ): R { contract { callsInPlace(action, InvocationKind.EXACTLY_ONCE) } - return NDAlgebra.space(this, bufferFactory, *shape).run(action) + return AlgebraND.group(this, bufferFactory, *shape).run(action) } //ring factories -public fun > NDAlgebra.Companion.ring( +public fun > AlgebraND.Companion.ring( ring: A, bufferFactory: BufferFactory, vararg shape: Int, -): BufferedNDRing = BufferedNDRing(shape, ring, bufferFactory) +): BufferedRingND = BufferedRingND(shape, ring, bufferFactory) public inline fun , R> A.ndRing( noinline bufferFactory: BufferFactory, vararg shape: Int, - action: BufferedNDRing.() -> R, + action: BufferedRingND.() -> R, ): R { contract { callsInPlace(action, InvocationKind.EXACTLY_ONCE) } - return NDAlgebra.ring(this, bufferFactory, *shape).run(action) + return AlgebraND.ring(this, bufferFactory, *shape).run(action) } //field factories -public fun > NDAlgebra.Companion.field( +public fun > AlgebraND.Companion.field( field: A, bufferFactory: BufferFactory, vararg shape: Int, -): BufferedNDField = BufferedNDField(shape, field, bufferFactory) +): BufferedFieldND = BufferedFieldND(shape, field, bufferFactory) @Suppress("UNCHECKED_CAST") -public inline fun > NDAlgebra.Companion.auto( +public inline fun > AlgebraND.Companion.auto( field: A, vararg shape: Int, -): NDField = when (field) { - RealField -> RealNDField(shape) as NDField - else -> BufferedNDField(shape, field, Buffer.Companion::auto) +): FieldND = when (field) { + DoubleField -> DoubleFieldND(shape) as FieldND + else -> BufferedFieldND(shape, field, Buffer.Companion::auto) } public inline fun , R> A.ndField( noinline bufferFactory: BufferFactory, vararg shape: Int, - action: BufferedNDField.() -> R, + action: BufferedFieldND.() -> R, ): R { contract { callsInPlace(action, InvocationKind.EXACTLY_ONCE) } - return NDAlgebra.field(this, bufferFactory, *shape).run(action) + return AlgebraND.field(this, bufferFactory, *shape).run(action) } \ No newline at end of file diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferND.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferND.kt new file mode 100644 index 000000000..c7f8d222d --- /dev/null +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferND.kt @@ -0,0 +1,48 @@ +package space.kscience.kmath.nd + +import space.kscience.kmath.structures.Buffer +import space.kscience.kmath.structures.BufferFactory + +/** + * Represents [StructureND] over [Buffer]. + * + * @param T the type of items. + * @param strides The strides to access elements of [Buffer] by linear indices. + * @param buffer The underlying buffer. + */ +public class BufferND( + public val strides: Strides, + public val buffer: Buffer, +) : StructureND { + + init { + if (strides.linearSize != buffer.size) { + error("Expected buffer side of ${strides.linearSize}, but found ${buffer.size}") + } + } + + override operator fun get(index: IntArray): T = buffer[strides.offset(index)] + + override val shape: IntArray get() = strides.shape + + override fun elements(): Sequence> = strides.indices().map { + it to this[it] + } + + override fun toString(): String = StructureND.toString(this) +} + +/** + * Transform structure to a new structure using provided [BufferFactory] and optimizing if argument is [BufferND] + */ +public inline fun StructureND.mapToBuffer( + factory: BufferFactory = Buffer.Companion::auto, + crossinline transform: (T) -> R, +): BufferND { + return if (this is BufferND) + BufferND(this.strides, factory.invoke(strides.linearSize) { transform(buffer[it]) }) + else { + val strides = DefaultStrides(shape) + BufferND(strides, factory.invoke(strides.linearSize) { transform(get(strides.index(it))) }) + } +} \ No newline at end of file diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/DoubleFieldND.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/DoubleFieldND.kt new file mode 100644 index 000000000..d38ed02da --- /dev/null +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/DoubleFieldND.kt @@ -0,0 +1,110 @@ +package space.kscience.kmath.nd + +import space.kscience.kmath.misc.UnstableKMathAPI +import space.kscience.kmath.operations.DoubleField +import space.kscience.kmath.operations.ExtendedField +import space.kscience.kmath.operations.NumbersAddOperations +import space.kscience.kmath.operations.ScaleOperations +import space.kscience.kmath.structures.DoubleBuffer +import kotlin.contracts.InvocationKind +import kotlin.contracts.contract + +@OptIn(UnstableKMathAPI::class) +public class DoubleFieldND( + shape: IntArray, +) : BufferedFieldND(shape, DoubleField, ::DoubleBuffer), + NumbersAddOperations>, + ScaleOperations>, + ExtendedField> { + + override val zero: BufferND by lazy { produce { zero } } + override val one: BufferND by lazy { produce { one } } + + override fun number(value: Number): BufferND { + val d = value.toDouble() // minimize conversions + return produce { d } + } + + override val StructureND.buffer: DoubleBuffer + get() = when { + !shape.contentEquals(this@DoubleFieldND.shape) -> throw ShapeMismatchException( + this@DoubleFieldND.shape, + shape + ) + this is BufferND && this.strides == this@DoubleFieldND.strides -> this.buffer as DoubleBuffer + else -> DoubleBuffer(strides.linearSize) { offset -> get(strides.index(offset)) } + } + + @Suppress("OVERRIDE_BY_INLINE") + override inline fun StructureND.map( + transform: DoubleField.(Double) -> Double, + ): BufferND { + val buffer = DoubleBuffer(strides.linearSize) { offset -> DoubleField.transform(buffer.array[offset]) } + return BufferND(strides, buffer) + } + + @Suppress("OVERRIDE_BY_INLINE") + override inline fun produce(initializer: DoubleField.(IntArray) -> Double): BufferND { + val array = DoubleArray(strides.linearSize) { offset -> + val index = strides.index(offset) + DoubleField.initializer(index) + } + return BufferND(strides, DoubleBuffer(array)) + } + + @Suppress("OVERRIDE_BY_INLINE") + override inline fun StructureND.mapIndexed( + transform: DoubleField.(index: IntArray, Double) -> Double, + ): BufferND = BufferND( + strides, + buffer = DoubleBuffer(strides.linearSize) { offset -> + DoubleField.transform( + strides.index(offset), + buffer.array[offset] + ) + }) + + @Suppress("OVERRIDE_BY_INLINE") + override inline fun combine( + a: StructureND, + b: StructureND, + transform: DoubleField.(Double, Double) -> Double, + ): BufferND { + val buffer = DoubleBuffer(strides.linearSize) { offset -> + DoubleField.transform(a.buffer.array[offset], b.buffer.array[offset]) + } + return BufferND(strides, buffer) + } + + override fun scale(a: StructureND, value: Double): StructureND = a.map { it * value } + + override fun power(arg: StructureND, pow: Number): BufferND = arg.map { power(it, pow) } + + override fun exp(arg: StructureND): BufferND = arg.map { exp(it) } + + override fun ln(arg: StructureND): BufferND = arg.map { ln(it) } + + override fun sin(arg: StructureND): BufferND = arg.map { sin(it) } + override fun cos(arg: StructureND): BufferND = arg.map { cos(it) } + override fun tan(arg: StructureND): BufferND = arg.map { tan(it) } + override fun asin(arg: StructureND): BufferND = arg.map { asin(it) } + override fun acos(arg: StructureND): BufferND = arg.map { acos(it) } + override fun atan(arg: StructureND): BufferND = arg.map { atan(it) } + + override fun sinh(arg: StructureND): BufferND = arg.map { sinh(it) } + override fun cosh(arg: StructureND): BufferND = arg.map { cosh(it) } + override fun tanh(arg: StructureND): BufferND = arg.map { tanh(it) } + override fun asinh(arg: StructureND): BufferND = arg.map { asinh(it) } + override fun acosh(arg: StructureND): BufferND = arg.map { acosh(it) } + override fun atanh(arg: StructureND): BufferND = arg.map { atanh(it) } +} + +public fun AlgebraND.Companion.real(vararg shape: Int): DoubleFieldND = DoubleFieldND(shape) + +/** + * Produce a context for n-dimensional operations inside this real field + */ +public inline fun DoubleField.nd(vararg shape: Int, action: DoubleFieldND.() -> R): R { + contract { callsInPlace(action, InvocationKind.EXACTLY_ONCE) } + return DoubleFieldND(shape).run(action) +} 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 deleted file mode 100644 index 2165aea22..000000000 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/RealNDField.kt +++ /dev/null @@ -1,111 +0,0 @@ -package space.kscience.kmath.nd - -import space.kscience.kmath.misc.UnstableKMathAPI -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 - -@OptIn(UnstableKMathAPI::class) -public class RealNDField( - shape: IntArray, -) : BufferedNDField(shape, RealField, Buffer.Companion::real), - NumbersAddOperations>, - ScaleOperations>, - ExtendedField> { - - override val zero: NDBuffer by lazy { produce { zero } } - override val one: NDBuffer by lazy { produce { one } } - - override fun number(value: Number): NDBuffer { - val d = value.toDouble() // minimize conversions - return produce { d } - } - - override val NDStructure.buffer: RealBuffer - get() = when { - !shape.contentEquals(this@RealNDField.shape) -> throw ShapeMismatchException( - this@RealNDField.shape, - shape - ) - this is NDBuffer && this.strides == this@RealNDField.strides -> this.buffer as RealBuffer - else -> RealBuffer(strides.linearSize) { offset -> get(strides.index(offset)) } - } - - @Suppress("OVERRIDE_BY_INLINE") - override inline fun NDStructure.map( - transform: RealField.(Double) -> Double, - ): NDBuffer { - val buffer = RealBuffer(strides.linearSize) { offset -> RealField.transform(buffer.array[offset]) } - return NDBuffer(strides, buffer) - } - - @Suppress("OVERRIDE_BY_INLINE") - override inline fun produce(initializer: RealField.(IntArray) -> Double): NDBuffer { - val array = DoubleArray(strides.linearSize) { offset -> - val index = strides.index(offset) - RealField.initializer(index) - } - return NDBuffer(strides, RealBuffer(array)) - } - - @Suppress("OVERRIDE_BY_INLINE") - override inline fun NDStructure.mapIndexed( - transform: RealField.(index: IntArray, Double) -> Double, - ): NDBuffer = NDBuffer( - strides, - buffer = RealBuffer(strides.linearSize) { offset -> - RealField.transform( - strides.index(offset), - buffer.array[offset] - ) - }) - - @Suppress("OVERRIDE_BY_INLINE") - override inline fun combine( - a: NDStructure, - b: NDStructure, - transform: RealField.(Double, Double) -> Double, - ): NDBuffer { - val buffer = RealBuffer(strides.linearSize) { offset -> - RealField.transform(a.buffer.array[offset], b.buffer.array[offset]) - } - return NDBuffer(strides, buffer) - } - - override fun scale(a: NDStructure, value: Double): NDStructure = a.map { it * value } - - override fun power(arg: NDStructure, pow: Number): NDBuffer = arg.map { power(it, pow) } - - override fun exp(arg: NDStructure): NDBuffer = arg.map { exp(it) } - - override fun ln(arg: NDStructure): NDBuffer = arg.map { ln(it) } - - override fun sin(arg: NDStructure): NDBuffer = arg.map { sin(it) } - override fun cos(arg: NDStructure): NDBuffer = arg.map { cos(it) } - override fun tan(arg: NDStructure): NDBuffer = arg.map { tan(it) } - override fun asin(arg: NDStructure): NDBuffer = arg.map { asin(it) } - override fun acos(arg: NDStructure): NDBuffer = arg.map { acos(it) } - override fun atan(arg: NDStructure): NDBuffer = arg.map { atan(it) } - - override fun sinh(arg: NDStructure): NDBuffer = arg.map { sinh(it) } - override fun cosh(arg: NDStructure): NDBuffer = arg.map { cosh(it) } - override fun tanh(arg: NDStructure): NDBuffer = arg.map { tanh(it) } - override fun asinh(arg: NDStructure): NDBuffer = arg.map { asinh(it) } - override fun acosh(arg: NDStructure): NDBuffer = arg.map { acosh(it) } - override fun atanh(arg: NDStructure): NDBuffer = arg.map { atanh(it) } -} - -public fun NDAlgebra.Companion.real(vararg shape: Int): RealNDField = RealNDField(shape) - -/** - * Produce a context for n-dimensional operations inside this real field - */ -public inline fun RealField.nd(vararg shape: Int, action: RealNDField.() -> R): R { - contract { callsInPlace(action, InvocationKind.EXACTLY_ONCE) } - return RealNDField(shape).run(action) -} diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/ShortNDRing.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/ShortRingND.kt similarity index 57% rename from kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/ShortNDRing.kt rename to kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/ShortRingND.kt index 2085840a4..f1056d0ff 100644 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/ShortNDRing.kt +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/ShortRingND.kt @@ -9,15 +9,15 @@ import kotlin.contracts.InvocationKind import kotlin.contracts.contract @OptIn(UnstableKMathAPI::class) -public class ShortNDRing( +public class ShortRingND( shape: IntArray, -) : BufferedNDRing(shape, ShortRing, Buffer.Companion::auto), - NumbersAddOperations> { +) : BufferedRingND(shape, ShortRing, Buffer.Companion::auto), + NumbersAddOperations> { - override val zero: NDBuffer by lazy { produce { zero } } - override val one: NDBuffer by lazy { produce { one } } + override val zero: BufferND by lazy { produce { zero } } + override val one: BufferND by lazy { produce { one } } - override fun number(value: Number): NDBuffer { + override fun number(value: Number): BufferND { val d = value.toShort() // minimize conversions return produce { d } } @@ -26,11 +26,11 @@ public class ShortNDRing( /** * Fast element production using function inlining. */ -public inline fun BufferedNDRing.produceInline(crossinline initializer: ShortRing.(Int) -> Short): NDBuffer { - return NDBuffer(strides, ShortBuffer(ShortArray(strides.linearSize) { offset -> ShortRing.initializer(offset) })) +public inline fun BufferedRingND.produceInline(crossinline initializer: ShortRing.(Int) -> Short): BufferND { + return BufferND(strides, ShortBuffer(ShortArray(strides.linearSize) { offset -> ShortRing.initializer(offset) })) } -public inline fun ShortRing.nd(vararg shape: Int, action: ShortNDRing.() -> R): R { +public inline fun ShortRing.nd(vararg shape: Int, action: ShortRingND.() -> R): R { contract { callsInPlace(action, InvocationKind.EXACTLY_ONCE) } - return ShortNDRing(shape).run(action) + return ShortRingND(shape).run(action) } \ No newline at end of file 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..8cf5d18cb 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 @@ -6,7 +6,7 @@ import space.kscience.kmath.structures.asSequence /** * A structure that is guaranteed to be one-dimensional */ -public interface Structure1D : NDStructure, Buffer { +public interface Structure1D : StructureND, Buffer { public override val dimension: Int get() = 1 public override operator fun get(index: IntArray): T { @@ -20,7 +20,7 @@ public interface Structure1D : NDStructure, Buffer { /** * A 1D wrapper for nd-structure */ -private inline class Structure1DWrapper(val structure: NDStructure) : Structure1D { +private inline class Structure1DWrapper(val structure: StructureND) : Structure1D { override val shape: IntArray get() = structure.shape override val size: Int get() = structure.shape[0] @@ -43,14 +43,25 @@ private inline class Buffer1DWrapper(val buffer: Buffer) : Structure1D } /** - * Represent a [NDStructure] as [Structure1D]. Throw error in case of dimension mismatch + * Represent a [StructureND] 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 StructureND.as1D(): Structure1D = this as? Structure1D ?: if (shape.size == 1) { + when (this) { + is BufferND -> 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 BufferND -> 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..3834cd97c 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 @@ -1,16 +1,16 @@ 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. * * @param T the type of items. */ -public interface Structure2D : NDStructure { +public interface Structure2D : StructureND { /** * The number of rows in this structure. */ @@ -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 inline class Structure2DWrapper(val structure: StructureND) : Structure2D { override val shape: IntArray get() = structure.shape override val rowNum: Int get() = shape[0] @@ -76,20 +68,23 @@ 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() } /** - * Represent a [NDStructure] as [Structure1D]. Throw error in case of dimension mismatch + * Represent a [StructureND] 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 StructureND.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 [StructureND] if possible */ -public typealias Matrix = Structure2D +internal fun Structure2D.unwrap(): StructureND = + if (this is Structure2DWrapper) structure + else this \ No newline at end of file diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/NDStructure.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/StructureND.kt similarity index 58% rename from kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/NDStructure.kt rename to kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/StructureND.kt index 137772632..78eac1809 100644 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/NDStructure.kt +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/StructureND.kt @@ -3,8 +3,6 @@ package space.kscience.kmath.nd import space.kscience.kmath.misc.UnstableKMathAPI import space.kscience.kmath.structures.Buffer import space.kscience.kmath.structures.BufferFactory -import space.kscience.kmath.structures.MutableBuffer -import space.kscience.kmath.structures.asSequence import kotlin.jvm.JvmName import kotlin.native.concurrent.ThreadLocal import kotlin.reflect.KClass @@ -14,9 +12,11 @@ import kotlin.reflect.KClass * of dimensions and items in an array is defined by its shape, which is a sequence of non-negative integers that * specify the sizes of each dimension. * + * StructureND is in general identity-free. [StructureND.contentEquals] should be used in tests to compare contents. + * * @param T the type of items. */ -public interface NDStructure { +public interface StructureND { /** * The shape of structure, i.e. non-empty sequence of non-negative integers that specify sizes of dimensions of * this structure. @@ -43,42 +43,57 @@ public interface NDStructure { */ public fun elements(): Sequence> - //force override equality and hash code - public override fun equals(other: Any?): Boolean - 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 { /** - * Indicates whether some [NDStructure] is equal to another one. + * Indicates whether some [StructureND] is equal to another one. */ - public fun contentEquals(st1: NDStructure<*>, st2: NDStructure<*>): Boolean { + public fun contentEquals(st1: StructureND, st2: StructureND): Boolean { if (st1 === st2) return true // fast comparison of buffers if possible - if (st1 is NDBuffer && st2 is NDBuffer && st1.strides == st2.strides) - return st1.buffer.contentEquals(st2.buffer) + if (st1 is BufferND && st2 is BufferND && st1.strides == st2.strides) + return Buffer.contentEquals(st1.buffer, st2.buffer) //element by element comparison if it could not be avoided return st1.elements().all { (index, value) -> value == st2[index] } } + /** + * Debug output to string + */ + public fun toString(structure: StructureND<*>): String { + val bufferRepr: String = when (structure.shape.size) { + 1 -> (0 until structure.shape[0]).map { structure[it] } + .joinToString(prefix = "[", postfix = "]", separator = ", ") + 2 -> (0 until structure.shape[0]).joinToString(prefix = "[", postfix = "]", separator = ", ") { i -> + (0 until structure.shape[1]).joinToString(prefix = "[", postfix = "]", separator = ", ") { j -> + structure[i, j].toString() + } + } + else -> "..." + } + val className = structure::class.simpleName ?: "StructureND" + + return "$className(shape=${structure.shape.contentToString()}, buffer=$bufferRepr)" + } + /** * Creates a NDStructure with explicit buffer factory. * * Strides should be reused if possible. */ - public fun build( + public fun buffered( strides: Strides, bufferFactory: BufferFactory = Buffer.Companion::boxing, initializer: (IntArray) -> T, - ): NDBuffer = NDBuffer(strides, bufferFactory(strides.linearSize) { i -> initializer(strides.index(i)) }) + ): BufferND = BufferND(strides, bufferFactory(strides.linearSize) { i -> initializer(strides.index(i)) }) /** * Inline create NDStructure with non-boxing buffer implementation if it is possible @@ -86,37 +101,37 @@ public interface NDStructure { public inline fun auto( strides: Strides, crossinline initializer: (IntArray) -> T, - ): NDBuffer = NDBuffer(strides, Buffer.auto(strides.linearSize) { i -> initializer(strides.index(i)) }) + ): BufferND = BufferND(strides, Buffer.auto(strides.linearSize) { i -> initializer(strides.index(i)) }) public inline fun auto( type: KClass, strides: Strides, crossinline initializer: (IntArray) -> T, - ): NDBuffer = NDBuffer(strides, Buffer.auto(type, strides.linearSize) { i -> initializer(strides.index(i)) }) + ): BufferND = BufferND(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) + ): BufferND = buffered(DefaultStrides(shape), bufferFactory, initializer) public inline fun auto( shape: IntArray, crossinline initializer: (IntArray) -> T, - ): NDBuffer = auto(DefaultStrides(shape), initializer) + ): BufferND = auto(DefaultStrides(shape), initializer) @JvmName("autoVarArg") public inline fun auto( vararg shape: Int, crossinline initializer: (IntArray) -> T, - ): NDBuffer = + ): BufferND = auto(DefaultStrides(shape), initializer) public inline fun auto( type: KClass, vararg shape: Int, crossinline initializer: (IntArray) -> T, - ): NDBuffer = auto(type, DefaultStrides(shape), initializer) + ): BufferND = auto(type, DefaultStrides(shape), initializer) } } @@ -126,15 +141,15 @@ public interface NDStructure { * @param index the indices. * @return the value. */ -public operator fun NDStructure.get(vararg index: Int): T = get(index) +public operator fun StructureND.get(vararg index: Int): T = get(index) @UnstableKMathAPI -public inline fun NDStructure<*>.getFeature(): T? = getFeature(T::class) +public inline fun StructureND<*>.getFeature(): T? = getFeature(T::class) /** - * Represents mutable [NDStructure]. + * Represents mutable [StructureND]. */ -public interface MutableNDStructure : NDStructure { +public interface MutableStructureND : StructureND { /** * Inserts an item at the specified indices. * @@ -147,7 +162,7 @@ public interface MutableNDStructure : NDStructure { /** * Transform a structure element-by element in place. */ -public inline fun MutableNDStructure.mapInPlace(action: (IntArray, T) -> T): Unit = +public inline fun MutableStructureND.mapInPlace(action: (IntArray, T) -> T): Unit = elements().forEach { (index, oldValue) -> this[index] = action(index, oldValue) } /** @@ -251,97 +266,10 @@ public class DefaultStrides private constructor(override val shape: IntArray) : } } -/** - * Represents [NDStructure] over [Buffer]. - * - * @param T the type of items. - * @param strides The strides to access elements of [Buffer] by linear indices. - * @param buffer The underlying buffer. - */ -public open class NDBuffer( - public val strides: Strides, - buffer: Buffer, -) : NDStructure { - - init { - if (strides.linearSize != buffer.size) { - error("Expected buffer side of ${strides.linearSize}, but found ${buffer.size}") - } - } - - public open val buffer: Buffer = buffer - - override operator fun get(index: IntArray): T = buffer[strides.offset(index)] - - override val shape: IntArray get() = strides.shape - - override fun elements(): Sequence> = strides.indices().map { - it to this[it] - } - - override fun equals(other: Any?): Boolean { - return NDStructure.contentEquals(this, other as? NDStructure<*> ?: return false) - } - - override fun hashCode(): Int { - var result = strides.hashCode() - result = 31 * result + buffer.hashCode() - return result - } - - override fun toString(): String { - val bufferRepr: String = when (shape.size) { - 1 -> buffer.asSequence().joinToString(prefix = "[", postfix = "]", separator = ", ") - 2 -> (0 until shape[0]).joinToString(prefix = "[", postfix = "]", separator = ", ") { i -> - (0 until shape[1]).joinToString(prefix = "[", postfix = "]", separator = ", ") { j -> - val offset = strides.offset(intArrayOf(i, j)) - buffer[offset].toString() - } - } - else -> "..." - } - return "NDBuffer(shape=${shape.contentToString()}, buffer=$bufferRepr)" - } -} - -/** - * Transform structure to a new structure using provided [BufferFactory] and optimizing if argument is [NDBuffer] - */ -public inline fun NDStructure.mapToBuffer( - factory: BufferFactory = Buffer.Companion::auto, - crossinline transform: (T) -> R, -): NDBuffer { - return if (this is NDBuffer) - NDBuffer(this.strides, factory.invoke(strides.linearSize) { transform(buffer[it]) }) - else { - val strides = DefaultStrides(shape) - NDBuffer(strides, factory.invoke(strides.linearSize) { transform(get(strides.index(it))) }) - } -} - -/** - * Mutable ND buffer based on linear [MutableBuffer]. - */ -public class MutableNDBuffer( - strides: Strides, - buffer: MutableBuffer, -) : NDBuffer(strides, buffer), MutableNDStructure { - - init { - require(strides.linearSize == buffer.size) { - "Expected buffer side of ${strides.linearSize}, but found ${buffer.size}" - } - } - - override val buffer: MutableBuffer = super.buffer as MutableBuffer - - override operator fun set(index: IntArray, value: T): Unit = buffer.set(strides.offset(index), value) -} - -public inline fun NDStructure.combine( - struct: NDStructure, +public inline fun StructureND.combine( + struct: StructureND, crossinline block: (T, T) -> T, -): NDStructure { +): StructureND { require(shape.contentEquals(struct.shape)) { "Shape mismatch in structure combination" } - return NDStructure.auto(shape) { block(this[it], struct[it]) } + return StructureND.auto(shape) { block(this[it], struct[it]) } } 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/BigInt.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/BigInt.kt index 7e6a2eb81..55bb68850 100644 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/BigInt.kt +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/BigInt.kt @@ -1,8 +1,8 @@ package space.kscience.kmath.operations import space.kscience.kmath.misc.UnstableKMathAPI -import space.kscience.kmath.nd.BufferedNDRing -import space.kscience.kmath.nd.NDAlgebra +import space.kscience.kmath.nd.AlgebraND +import space.kscience.kmath.nd.BufferedRingND import space.kscience.kmath.operations.BigInt.Companion.BASE import space.kscience.kmath.operations.BigInt.Companion.BASE_SIZE import space.kscience.kmath.structures.Buffer @@ -464,5 +464,5 @@ public inline fun Buffer.Companion.bigInt(size: Int, initializer: (Int) -> BigIn public inline fun MutableBuffer.Companion.bigInt(size: Int, initializer: (Int) -> BigInt): MutableBuffer = boxing(size, initializer) -public fun NDAlgebra.Companion.bigInt(vararg shape: Int): BufferedNDRing = - BufferedNDRing(shape, BigIntField, Buffer.Companion::bigInt) +public fun AlgebraND.Companion.bigInt(vararg shape: Int): BufferedRingND = + BufferedRingND(shape, BigIntField, Buffer.Companion::bigInt) diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/numbers.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/numbers.kt index 4841e78d6..0101b058a 100644 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/numbers.kt +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/numbers.kt @@ -55,7 +55,7 @@ public interface ExtendedField : ExtendedFieldOperations, Field, Numeri * A field for [Double] without boxing. Does not produce appropriate field element. */ @Suppress("EXTENSION_SHADOWED_BY_MEMBER", "OVERRIDE_BY_INLINE", "NOTHING_TO_INLINE") -public object RealField : ExtendedField, Norm, ScaleOperations { +public object DoubleField : ExtendedField, Norm, ScaleOperations { public override val zero: Double = 0.0 public override val one: Double = 1.0 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..7ce098ed1 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 @@ -17,7 +17,9 @@ public typealias BufferFactory = (Int, (Int) -> T) -> Buffer public typealias MutableBufferFactory = (Int, (Int) -> T) -> MutableBuffer /** - * A generic immutable random-access structure for both primitives and objects. + * A generic read-only random-access structure for both primitives and objects. + * + * [Buffer] is in general identity-free. [Buffer.contentEquals] should be used for content equality checks. * * @param T the type of elements contained in the buffer. */ @@ -37,49 +39,46 @@ public interface Buffer { */ public operator fun iterator(): Iterator - /** - * Checks content equality with another buffer. - */ - public fun contentEquals(other: Buffer<*>): Boolean = - 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. + * Check the element-by-element match of content of two buffers. */ - public inline fun real(size: Int, initializer: (Int) -> Double): RealBuffer = - RealBuffer(size) { initializer(it) } + public fun contentEquals(first: Buffer, second: Buffer): Boolean{ + if (first.size != second.size) return false + for (i in first.indices) { + if (first[i] != second[i]) return false + } + return true + } /** * 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], - * [RealBuffer], etc.), [ListBuffer] is returned otherwise. + * [DoubleBuffer], etc.), [ListBuffer] is returned otherwise. * * The [size] is specified, and each element is calculated by calling the specified [initializer] function. */ @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.double(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) } /** * Creates a [Buffer] of given type [T]. If the type is primitive, specialized buffers are used ([IntBuffer], - * [RealBuffer], etc.), [ListBuffer] is returned otherwise. + * [DoubleBuffer], etc.), [ListBuffer] is returned otherwise. * * The [size] is specified, and each element is calculated by calling the specified [initializer] function. */ @@ -89,21 +88,6 @@ 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 +110,44 @@ public interface MutableBuffer : Buffer { public fun copy(): MutableBuffer public companion object { + + /** + * Creates a [DoubleBuffer] with the specified [size], where each element is calculated by calling the specified + * [initializer] function. + */ + public inline fun double(size: Int, initializer: (Int) -> Double): DoubleBuffer = + DoubleBuffer(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 */ @@ -134,37 +156,30 @@ public interface MutableBuffer : Buffer { /** * Creates a [MutableBuffer] of given [type]. If the type is primitive, specialized buffers are used - * ([IntBuffer], [RealBuffer], etc.), [ListBuffer] is returned otherwise. + * ([IntBuffer], [DoubleBuffer], etc.), [ListBuffer] is returned otherwise. * * The [size] is specified, and each element is calculated by calling the specified [initializer] function. */ @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 -> double(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) } /** * Creates a [MutableBuffer] of given type [T]. If the type is primitive, specialized buffers are used - * ([IntBuffer], [RealBuffer], etc.), [ListBuffer] is returned otherwise. + * ([IntBuffer], [DoubleBuffer], etc.), [ListBuffer] is returned otherwise. * * The [size] is specified, and each element is calculated by calling the specified [initializer] function. */ @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 +202,6 @@ 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 +222,20 @@ 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 +253,6 @@ 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]. * @@ -280,27 +280,9 @@ public class VirtualBuffer(override val size: Int, private val generator: (In } override operator fun iterator(): Iterator = (0 until size).asSequence().map(generator).iterator() - - override fun contentEquals(other: Buffer<*>): Boolean { - return if (other is VirtualBuffer) { - this.size == other.size && this.generator == other.generator - } else { - super.contentEquals(other) - } - } } /** * 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..6666c88b4 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 @@ -1,8 +1,8 @@ package space.kscience.kmath.structures import space.kscience.kmath.nd.DefaultStrides -import space.kscience.kmath.nd.NDStructure import space.kscience.kmath.nd.Structure2D +import space.kscience.kmath.nd.StructureND import space.kscience.kmath.nd.as2D /** @@ -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 = StructureND.buffered( DefaultStrides(intArrayOf(rowNum, colNum)), factory ) { (i, j) -> diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/DoubleBuffer.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/DoubleBuffer.kt new file mode 100644 index 000000000..0a23d31fe --- /dev/null +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/DoubleBuffer.kt @@ -0,0 +1,56 @@ +package space.kscience.kmath.structures + +/** + * Specialized [MutableBuffer] implementation over [DoubleArray]. + * + * @property array the underlying array. + */ +@Suppress("OVERRIDE_BY_INLINE") +public inline class DoubleBuffer(public val array: DoubleArray) : MutableBuffer { + override val size: Int get() = array.size + + override operator fun get(index: Int): Double = array[index] + + override operator fun set(index: Int, value: Double) { + array[index] = value + } + + override operator fun iterator(): DoubleIterator = array.iterator() + + override fun copy(): DoubleBuffer = DoubleBuffer(array.copyOf()) +} + +/** + * Creates a new [DoubleBuffer] 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 buffer element given its index. + */ +public inline fun DoubleBuffer(size: Int, init: (Int) -> Double): DoubleBuffer = DoubleBuffer(DoubleArray(size) { init(it) }) + +/** + * Returns a new [DoubleBuffer] of given elements. + */ +public fun DoubleBuffer(vararg doubles: Double): DoubleBuffer = DoubleBuffer(doubles) + +/** + * Simplified [DoubleBuffer] to array comparison + */ +public fun DoubleBuffer.contentEquals(vararg doubles: Double): Boolean = array.contentEquals(doubles) + +/** + * Returns a new [DoubleArray] containing all of the elements of this [Buffer]. + */ +public fun Buffer.toDoubleArray(): DoubleArray = when (this) { + is DoubleBuffer -> array.copyOf() + else -> DoubleArray(size, ::get) +} + +/** + * Returns [DoubleBuffer] over this array. + * + * @receiver the array. + * @return the new buffer. + */ +public fun DoubleArray.asBuffer(): DoubleBuffer = DoubleBuffer(this) diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/DoubleBufferField.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/DoubleBufferField.kt new file mode 100644 index 000000000..4a85219ac --- /dev/null +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/DoubleBufferField.kt @@ -0,0 +1,272 @@ +package space.kscience.kmath.structures + +import space.kscience.kmath.operations.ExtendedField +import space.kscience.kmath.operations.ExtendedFieldOperations +import kotlin.math.* + +/** + * [ExtendedFieldOperations] over [DoubleBuffer]. + */ +public object DoubleBufferFieldOperations : ExtendedFieldOperations> { + override fun Buffer.unaryMinus(): DoubleBuffer = if (this is DoubleBuffer) { + DoubleBuffer(size) { -array[it] } + } else { + DoubleBuffer(size) { -get(it) } + } + + public override fun add(a: Buffer, b: Buffer): DoubleBuffer { + require(b.size == a.size) { + "The size of the first buffer ${a.size} should be the same as for second one: ${b.size} " + } + + return if (a is DoubleBuffer && b is DoubleBuffer) { + val aArray = a.array + val bArray = b.array + DoubleBuffer(DoubleArray(a.size) { aArray[it] + bArray[it] }) + } else DoubleBuffer(DoubleArray(a.size) { a[it] + b[it] }) + } +// +// public override fun multiply(a: Buffer, k: Number): RealBuffer { +// val kValue = k.toDouble() +// +// return if (a is RealBuffer) { +// val aArray = a.array +// RealBuffer(DoubleArray(a.size) { aArray[it] * kValue }) +// } else RealBuffer(DoubleArray(a.size) { a[it] * kValue }) +// } +// +// public override fun divide(a: Buffer, k: Number): RealBuffer { +// val kValue = k.toDouble() +// +// return if (a is RealBuffer) { +// val aArray = a.array +// RealBuffer(DoubleArray(a.size) { aArray[it] / kValue }) +// } else RealBuffer(DoubleArray(a.size) { a[it] / kValue }) +// } + + public override fun multiply(a: Buffer, b: Buffer): DoubleBuffer { + require(b.size == a.size) { + "The size of the first buffer ${a.size} should be the same as for second one: ${b.size} " + } + + return if (a is DoubleBuffer && b is DoubleBuffer) { + val aArray = a.array + val bArray = b.array + DoubleBuffer(DoubleArray(a.size) { aArray[it] * bArray[it] }) + } else + DoubleBuffer(DoubleArray(a.size) { a[it] * b[it] }) + } + + public override fun divide(a: Buffer, b: Buffer): DoubleBuffer { + require(b.size == a.size) { + "The size of the first buffer ${a.size} should be the same as for second one: ${b.size} " + } + + return if (a is DoubleBuffer && b is DoubleBuffer) { + val aArray = a.array + val bArray = b.array + DoubleBuffer(DoubleArray(a.size) { aArray[it] / bArray[it] }) + } else DoubleBuffer(DoubleArray(a.size) { a[it] / b[it] }) + } + + public override fun sin(arg: Buffer): DoubleBuffer = if (arg is DoubleBuffer) { + val array = arg.array + DoubleBuffer(DoubleArray(arg.size) { sin(array[it]) }) + } else DoubleBuffer(DoubleArray(arg.size) { sin(arg[it]) }) + + public override fun cos(arg: Buffer): DoubleBuffer = if (arg is DoubleBuffer) { + val array = arg.array + DoubleBuffer(DoubleArray(arg.size) { cos(array[it]) }) + } else DoubleBuffer(DoubleArray(arg.size) { cos(arg[it]) }) + + public override fun tan(arg: Buffer): DoubleBuffer = if (arg is DoubleBuffer) { + val array = arg.array + DoubleBuffer(DoubleArray(arg.size) { tan(array[it]) }) + } else DoubleBuffer(DoubleArray(arg.size) { tan(arg[it]) }) + + public override fun asin(arg: Buffer): DoubleBuffer = if (arg is DoubleBuffer) { + val array = arg.array + DoubleBuffer(DoubleArray(arg.size) { asin(array[it]) }) + } else + DoubleBuffer(DoubleArray(arg.size) { asin(arg[it]) }) + + public override fun acos(arg: Buffer): DoubleBuffer = if (arg is DoubleBuffer) { + val array = arg.array + DoubleBuffer(DoubleArray(arg.size) { acos(array[it]) }) + } else + DoubleBuffer(DoubleArray(arg.size) { acos(arg[it]) }) + + public override fun atan(arg: Buffer): DoubleBuffer = if (arg is DoubleBuffer) { + val array = arg.array + DoubleBuffer(DoubleArray(arg.size) { atan(array[it]) }) + } else + DoubleBuffer(DoubleArray(arg.size) { atan(arg[it]) }) + + public override fun sinh(arg: Buffer): DoubleBuffer = if (arg is DoubleBuffer) { + val array = arg.array + DoubleBuffer(DoubleArray(arg.size) { sinh(array[it]) }) + } else + DoubleBuffer(DoubleArray(arg.size) { sinh(arg[it]) }) + + public override fun cosh(arg: Buffer): DoubleBuffer = if (arg is DoubleBuffer) { + val array = arg.array + DoubleBuffer(DoubleArray(arg.size) { cosh(array[it]) }) + } else + DoubleBuffer(DoubleArray(arg.size) { cosh(arg[it]) }) + + public override fun tanh(arg: Buffer): DoubleBuffer = if (arg is DoubleBuffer) { + val array = arg.array + DoubleBuffer(DoubleArray(arg.size) { tanh(array[it]) }) + } else + DoubleBuffer(DoubleArray(arg.size) { tanh(arg[it]) }) + + public override fun asinh(arg: Buffer): DoubleBuffer = if (arg is DoubleBuffer) { + val array = arg.array + DoubleBuffer(DoubleArray(arg.size) { asinh(array[it]) }) + } else + DoubleBuffer(DoubleArray(arg.size) { asinh(arg[it]) }) + + public override fun acosh(arg: Buffer): DoubleBuffer = if (arg is DoubleBuffer) { + val array = arg.array + DoubleBuffer(DoubleArray(arg.size) { acosh(array[it]) }) + } else + DoubleBuffer(DoubleArray(arg.size) { acosh(arg[it]) }) + + public override fun atanh(arg: Buffer): DoubleBuffer = if (arg is DoubleBuffer) { + val array = arg.array + DoubleBuffer(DoubleArray(arg.size) { atanh(array[it]) }) + } else + DoubleBuffer(DoubleArray(arg.size) { atanh(arg[it]) }) + + public override fun power(arg: Buffer, pow: Number): DoubleBuffer = if (arg is DoubleBuffer) { + val array = arg.array + DoubleBuffer(DoubleArray(arg.size) { array[it].pow(pow.toDouble()) }) + } else + DoubleBuffer(DoubleArray(arg.size) { arg[it].pow(pow.toDouble()) }) + + public override fun exp(arg: Buffer): DoubleBuffer = if (arg is DoubleBuffer) { + val array = arg.array + DoubleBuffer(DoubleArray(arg.size) { exp(array[it]) }) + } else DoubleBuffer(DoubleArray(arg.size) { exp(arg[it]) }) + + public override fun ln(arg: Buffer): DoubleBuffer = if (arg is DoubleBuffer) { + val array = arg.array + DoubleBuffer(DoubleArray(arg.size) { ln(array[it]) }) + } else + DoubleBuffer(DoubleArray(arg.size) { ln(arg[it]) }) +} + +/** + * [ExtendedField] over [DoubleBuffer]. + * + * @property size the size of buffers to operate on. + */ +public class DoubleBufferField(public val size: Int) : ExtendedField> { + public override val zero: Buffer by lazy { DoubleBuffer(size) { 0.0 } } + public override val one: Buffer by lazy { DoubleBuffer(size) { 1.0 } } + + override fun number(value: Number): Buffer = DoubleBuffer(size) { value.toDouble() } + + override fun Buffer.unaryMinus(): Buffer = DoubleBufferFieldOperations.run { + -this@unaryMinus + } + + public override fun add(a: Buffer, b: Buffer): DoubleBuffer { + require(a.size == size) { "The buffer size ${a.size} does not match context size $size" } + return DoubleBufferFieldOperations.add(a, b) + } + + public override fun scale(a: Buffer, value: Double): DoubleBuffer { + require(a.size == size) { "The buffer size ${a.size} does not match context size $size" } + + return if (a is DoubleBuffer) { + val aArray = a.array + DoubleBuffer(DoubleArray(a.size) { aArray[it] * value }) + } else DoubleBuffer(DoubleArray(a.size) { a[it] * value }) + } + + public override fun multiply(a: Buffer, b: Buffer): DoubleBuffer { + require(a.size == size) { "The buffer size ${a.size} does not match context size $size" } + return DoubleBufferFieldOperations.multiply(a, b) + } + + public override fun divide(a: Buffer, b: Buffer): DoubleBuffer { + require(a.size == size) { "The buffer size ${a.size} does not match context size $size" } + return DoubleBufferFieldOperations.divide(a, b) + } + + public override fun sin(arg: Buffer): DoubleBuffer { + require(arg.size == size) { "The buffer size ${arg.size} does not match context size $size" } + return DoubleBufferFieldOperations.sin(arg) + } + + public override fun cos(arg: Buffer): DoubleBuffer { + require(arg.size == size) { "The buffer size ${arg.size} does not match context size $size" } + return DoubleBufferFieldOperations.cos(arg) + } + + public override fun tan(arg: Buffer): DoubleBuffer { + require(arg.size == size) { "The buffer size ${arg.size} does not match context size $size" } + return DoubleBufferFieldOperations.tan(arg) + } + + public override fun asin(arg: Buffer): DoubleBuffer { + require(arg.size == size) { "The buffer size ${arg.size} does not match context size $size" } + return DoubleBufferFieldOperations.asin(arg) + } + + public override fun acos(arg: Buffer): DoubleBuffer { + require(arg.size == size) { "The buffer size ${arg.size} does not match context size $size" } + return DoubleBufferFieldOperations.acos(arg) + } + + public override fun atan(arg: Buffer): DoubleBuffer { + require(arg.size == size) { "The buffer size ${arg.size} does not match context size $size" } + return DoubleBufferFieldOperations.atan(arg) + } + + public override fun sinh(arg: Buffer): DoubleBuffer { + require(arg.size == size) { "The buffer size ${arg.size} does not match context size $size" } + return DoubleBufferFieldOperations.sinh(arg) + } + + public override fun cosh(arg: Buffer): DoubleBuffer { + require(arg.size == size) { "The buffer size ${arg.size} does not match context size $size" } + return DoubleBufferFieldOperations.cosh(arg) + } + + public override fun tanh(arg: Buffer): DoubleBuffer { + require(arg.size == size) { "The buffer size ${arg.size} does not match context size $size" } + return DoubleBufferFieldOperations.tanh(arg) + } + + public override fun asinh(arg: Buffer): DoubleBuffer { + require(arg.size == size) { "The buffer size ${arg.size} does not match context size $size" } + return DoubleBufferFieldOperations.asinh(arg) + } + + public override fun acosh(arg: Buffer): DoubleBuffer { + require(arg.size == size) { "The buffer size ${arg.size} does not match context size $size" } + return DoubleBufferFieldOperations.acosh(arg) + } + + public override fun atanh(arg: Buffer): DoubleBuffer { + require(arg.size == size) { "The buffer size ${arg.size} does not match context size $size" } + return DoubleBufferFieldOperations.atanh(arg) + } + + public override fun power(arg: Buffer, pow: Number): DoubleBuffer { + require(arg.size == size) { "The buffer size ${arg.size} does not match context size $size" } + return DoubleBufferFieldOperations.power(arg, pow) + } + + public override fun exp(arg: Buffer): DoubleBuffer { + require(arg.size == size) { "The buffer size ${arg.size} does not match context size $size" } + return DoubleBufferFieldOperations.exp(arg) + } + + public override fun ln(arg: Buffer): DoubleBuffer { + require(arg.size == size) { "The buffer size ${arg.size} does not match context size $size" } + return DoubleBufferFieldOperations.ln(arg) + } +} diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/FlaggedBuffer.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/FlaggedBuffer.kt index 3326c1491..670a0c175 100644 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/FlaggedBuffer.kt +++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/FlaggedBuffer.kt @@ -48,7 +48,7 @@ public fun FlaggedBuffer<*>.isMissing(index: Int): Boolean = hasFlag(index, Valu /** * A real buffer which supports flags for each value like NaN or Missing */ -public class FlaggedRealBuffer(public val values: DoubleArray, public val flags: ByteArray) : FlaggedBuffer, +public class FlaggedDoubleBuffer(public val values: DoubleArray, public val flags: ByteArray) : FlaggedBuffer, Buffer { init { require(values.size == flags.size) { "Values and flags must have the same dimensions" } @@ -65,7 +65,7 @@ public class FlaggedRealBuffer(public val values: DoubleArray, public val flags: }.iterator() } -public inline fun FlaggedRealBuffer.forEachValid(block: (Double) -> Unit) { +public inline fun FlaggedDoubleBuffer.forEachValid(block: (Double) -> Unit) { indices .asSequence() .filter(::isValid) 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 deleted file mode 100644 index e53ed85c7..000000000 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/RealBuffer.kt +++ /dev/null @@ -1,54 +0,0 @@ -package space.kscience.kmath.structures - -/** - * Specialized [MutableBuffer] implementation over [DoubleArray]. - * - * @property array the underlying array. - */ -@Suppress("OVERRIDE_BY_INLINE") -public inline class RealBuffer(public val array: DoubleArray) : MutableBuffer { - override val size: Int get() = array.size - - override operator fun get(index: Int): Double = array[index] - - override operator fun set(index: Int, value: Double) { - array[index] = value - } - - override operator fun iterator(): DoubleIterator = array.iterator() - - override fun copy(): RealBuffer = RealBuffer(array.copyOf()) -} - -/** - * Creates a new [RealBuffer] 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 buffer element given its index. - */ -public inline fun RealBuffer(size: Int, init: (Int) -> Double): RealBuffer = RealBuffer(DoubleArray(size) { init(it) }) - -/** - * Returns a new [RealBuffer] of given elements. - */ -public fun RealBuffer(vararg doubles: Double): RealBuffer = RealBuffer(doubles) - -/** - * Simplified [RealBuffer] to array comparison - */ -public fun RealBuffer.contentEquals(vararg doubles: Double): Boolean = array.contentEquals(doubles) - -/** - * Returns a [DoubleArray] containing all of the elements of this [MutableBuffer]. - */ -public val MutableBuffer.array: DoubleArray - get() = (if (this is RealBuffer) array else DoubleArray(size) { get(it) }) - -/** - * Returns [RealBuffer] over this array. - * - * @receiver the array. - * @return the new buffer. - */ -public fun DoubleArray.asBuffer(): RealBuffer = RealBuffer(this) diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/RealBufferField.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/RealBufferField.kt deleted file mode 100644 index 2a03a36e3..000000000 --- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/RealBufferField.kt +++ /dev/null @@ -1,272 +0,0 @@ -package space.kscience.kmath.structures - -import space.kscience.kmath.operations.ExtendedField -import space.kscience.kmath.operations.ExtendedFieldOperations -import kotlin.math.* - -/** - * [ExtendedFieldOperations] over [RealBuffer]. - */ -public object RealBufferFieldOperations : ExtendedFieldOperations> { - override fun Buffer.unaryMinus(): RealBuffer = if (this is RealBuffer) { - RealBuffer(size) { -array[it] } - } else { - RealBuffer(size) { -get(it) } - } - - public override fun add(a: Buffer, b: Buffer): RealBuffer { - require(b.size == a.size) { - "The size of the first buffer ${a.size} should be the same as for second one: ${b.size} " - } - - return if (a is RealBuffer && b is RealBuffer) { - val aArray = a.array - val bArray = b.array - RealBuffer(DoubleArray(a.size) { aArray[it] + bArray[it] }) - } else RealBuffer(DoubleArray(a.size) { a[it] + b[it] }) - } -// -// public override fun multiply(a: Buffer, k: Number): RealBuffer { -// val kValue = k.toDouble() -// -// return if (a is RealBuffer) { -// val aArray = a.array -// RealBuffer(DoubleArray(a.size) { aArray[it] * kValue }) -// } else RealBuffer(DoubleArray(a.size) { a[it] * kValue }) -// } -// -// public override fun divide(a: Buffer, k: Number): RealBuffer { -// val kValue = k.toDouble() -// -// return if (a is RealBuffer) { -// val aArray = a.array -// RealBuffer(DoubleArray(a.size) { aArray[it] / kValue }) -// } else RealBuffer(DoubleArray(a.size) { a[it] / kValue }) -// } - - public override fun multiply(a: Buffer, b: Buffer): RealBuffer { - require(b.size == a.size) { - "The size of the first buffer ${a.size} should be the same as for second one: ${b.size} " - } - - return if (a is RealBuffer && b is RealBuffer) { - val aArray = a.array - val bArray = b.array - RealBuffer(DoubleArray(a.size) { aArray[it] * bArray[it] }) - } else - RealBuffer(DoubleArray(a.size) { a[it] * b[it] }) - } - - public override fun divide(a: Buffer, b: Buffer): RealBuffer { - require(b.size == a.size) { - "The size of the first buffer ${a.size} should be the same as for second one: ${b.size} " - } - - return if (a is RealBuffer && b is RealBuffer) { - val aArray = a.array - val bArray = b.array - RealBuffer(DoubleArray(a.size) { aArray[it] / bArray[it] }) - } else RealBuffer(DoubleArray(a.size) { a[it] / b[it] }) - } - - public override fun sin(arg: Buffer): RealBuffer = if (arg is RealBuffer) { - val array = arg.array - RealBuffer(DoubleArray(arg.size) { sin(array[it]) }) - } else RealBuffer(DoubleArray(arg.size) { sin(arg[it]) }) - - public override fun cos(arg: Buffer): RealBuffer = if (arg is RealBuffer) { - val array = arg.array - RealBuffer(DoubleArray(arg.size) { cos(array[it]) }) - } else RealBuffer(DoubleArray(arg.size) { cos(arg[it]) }) - - public override fun tan(arg: Buffer): RealBuffer = if (arg is RealBuffer) { - val array = arg.array - RealBuffer(DoubleArray(arg.size) { tan(array[it]) }) - } else RealBuffer(DoubleArray(arg.size) { tan(arg[it]) }) - - public override fun asin(arg: Buffer): RealBuffer = if (arg is RealBuffer) { - val array = arg.array - RealBuffer(DoubleArray(arg.size) { asin(array[it]) }) - } else - RealBuffer(DoubleArray(arg.size) { asin(arg[it]) }) - - public override fun acos(arg: Buffer): RealBuffer = if (arg is RealBuffer) { - val array = arg.array - RealBuffer(DoubleArray(arg.size) { acos(array[it]) }) - } else - RealBuffer(DoubleArray(arg.size) { acos(arg[it]) }) - - public override fun atan(arg: Buffer): RealBuffer = if (arg is RealBuffer) { - val array = arg.array - RealBuffer(DoubleArray(arg.size) { atan(array[it]) }) - } else - RealBuffer(DoubleArray(arg.size) { atan(arg[it]) }) - - public override fun sinh(arg: Buffer): RealBuffer = if (arg is RealBuffer) { - val array = arg.array - RealBuffer(DoubleArray(arg.size) { sinh(array[it]) }) - } else - RealBuffer(DoubleArray(arg.size) { sinh(arg[it]) }) - - public override fun cosh(arg: Buffer): RealBuffer = if (arg is RealBuffer) { - val array = arg.array - RealBuffer(DoubleArray(arg.size) { cosh(array[it]) }) - } else - RealBuffer(DoubleArray(arg.size) { cosh(arg[it]) }) - - public override fun tanh(arg: Buffer): RealBuffer = if (arg is RealBuffer) { - val array = arg.array - RealBuffer(DoubleArray(arg.size) { tanh(array[it]) }) - } else - RealBuffer(DoubleArray(arg.size) { tanh(arg[it]) }) - - public override fun asinh(arg: Buffer): RealBuffer = if (arg is RealBuffer) { - val array = arg.array - RealBuffer(DoubleArray(arg.size) { asinh(array[it]) }) - } else - RealBuffer(DoubleArray(arg.size) { asinh(arg[it]) }) - - public override fun acosh(arg: Buffer): RealBuffer = if (arg is RealBuffer) { - val array = arg.array - RealBuffer(DoubleArray(arg.size) { acosh(array[it]) }) - } else - RealBuffer(DoubleArray(arg.size) { acosh(arg[it]) }) - - public override fun atanh(arg: Buffer): RealBuffer = if (arg is RealBuffer) { - val array = arg.array - RealBuffer(DoubleArray(arg.size) { atanh(array[it]) }) - } else - RealBuffer(DoubleArray(arg.size) { atanh(arg[it]) }) - - public override fun power(arg: Buffer, pow: Number): RealBuffer = if (arg is RealBuffer) { - val array = arg.array - RealBuffer(DoubleArray(arg.size) { array[it].pow(pow.toDouble()) }) - } else - RealBuffer(DoubleArray(arg.size) { arg[it].pow(pow.toDouble()) }) - - public override fun exp(arg: Buffer): RealBuffer = if (arg is RealBuffer) { - val array = arg.array - RealBuffer(DoubleArray(arg.size) { exp(array[it]) }) - } else RealBuffer(DoubleArray(arg.size) { exp(arg[it]) }) - - public override fun ln(arg: Buffer): RealBuffer = if (arg is RealBuffer) { - val array = arg.array - RealBuffer(DoubleArray(arg.size) { ln(array[it]) }) - } else - RealBuffer(DoubleArray(arg.size) { ln(arg[it]) }) -} - -/** - * [ExtendedField] over [RealBuffer]. - * - * @property size the size of buffers to operate on. - */ -public class RealBufferField(public val size: Int) : ExtendedField> { - public override val zero: Buffer by lazy { RealBuffer(size) { 0.0 } } - public override val one: Buffer by lazy { RealBuffer(size) { 1.0 } } - - override fun number(value: Number): Buffer = RealBuffer(size) { value.toDouble() } - - override fun Buffer.unaryMinus(): Buffer = RealBufferFieldOperations.run { - -this@unaryMinus - } - - public override fun add(a: Buffer, b: Buffer): RealBuffer { - require(a.size == size) { "The buffer size ${a.size} does not match context size $size" } - return RealBufferFieldOperations.add(a, b) - } - - public override fun scale(a: Buffer, value: Double): RealBuffer { - require(a.size == size) { "The buffer size ${a.size} does not match context size $size" } - - return if (a is RealBuffer) { - val aArray = a.array - RealBuffer(DoubleArray(a.size) { aArray[it] * value }) - } else RealBuffer(DoubleArray(a.size) { a[it] * value }) - } - - public override fun multiply(a: Buffer, b: Buffer): RealBuffer { - require(a.size == size) { "The buffer size ${a.size} does not match context size $size" } - return RealBufferFieldOperations.multiply(a, b) - } - - public override fun divide(a: Buffer, b: Buffer): RealBuffer { - require(a.size == size) { "The buffer size ${a.size} does not match context size $size" } - return RealBufferFieldOperations.divide(a, b) - } - - public override fun sin(arg: Buffer): RealBuffer { - require(arg.size == size) { "The buffer size ${arg.size} does not match context size $size" } - return RealBufferFieldOperations.sin(arg) - } - - public override fun cos(arg: Buffer): RealBuffer { - require(arg.size == size) { "The buffer size ${arg.size} does not match context size $size" } - return RealBufferFieldOperations.cos(arg) - } - - public override fun tan(arg: Buffer): RealBuffer { - require(arg.size == size) { "The buffer size ${arg.size} does not match context size $size" } - return RealBufferFieldOperations.tan(arg) - } - - public override fun asin(arg: Buffer): RealBuffer { - require(arg.size == size) { "The buffer size ${arg.size} does not match context size $size" } - return RealBufferFieldOperations.asin(arg) - } - - public override fun acos(arg: Buffer): RealBuffer { - require(arg.size == size) { "The buffer size ${arg.size} does not match context size $size" } - return RealBufferFieldOperations.acos(arg) - } - - public override fun atan(arg: Buffer): RealBuffer { - require(arg.size == size) { "The buffer size ${arg.size} does not match context size $size" } - return RealBufferFieldOperations.atan(arg) - } - - public override fun sinh(arg: Buffer): RealBuffer { - require(arg.size == size) { "The buffer size ${arg.size} does not match context size $size" } - return RealBufferFieldOperations.sinh(arg) - } - - public override fun cosh(arg: Buffer): RealBuffer { - require(arg.size == size) { "The buffer size ${arg.size} does not match context size $size" } - return RealBufferFieldOperations.cosh(arg) - } - - public override fun tanh(arg: Buffer): RealBuffer { - require(arg.size == size) { "The buffer size ${arg.size} does not match context size $size" } - return RealBufferFieldOperations.tanh(arg) - } - - public override fun asinh(arg: Buffer): RealBuffer { - require(arg.size == size) { "The buffer size ${arg.size} does not match context size $size" } - return RealBufferFieldOperations.asinh(arg) - } - - public override fun acosh(arg: Buffer): RealBuffer { - require(arg.size == size) { "The buffer size ${arg.size} does not match context size $size" } - return RealBufferFieldOperations.acosh(arg) - } - - public override fun atanh(arg: Buffer): RealBuffer { - require(arg.size == size) { "The buffer size ${arg.size} does not match context size $size" } - return RealBufferFieldOperations.atanh(arg) - } - - public override fun power(arg: Buffer, pow: Number): RealBuffer { - require(arg.size == size) { "The buffer size ${arg.size} does not match context size $size" } - return RealBufferFieldOperations.power(arg, pow) - } - - public override fun exp(arg: Buffer): RealBuffer { - require(arg.size == size) { "The buffer size ${arg.size} does not match context size $size" } - return RealBufferFieldOperations.exp(arg) - } - - public override fun ln(arg: Buffer): RealBuffer { - require(arg.size == size) { "The buffer size ${arg.size} does not match context size $size" } - return RealBufferFieldOperations.ln(arg) - } -} 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/expressions/ExpressionFieldTest.kt b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/expressions/ExpressionFieldTest.kt index cf75eba3e..b1be0c392 100644 --- a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/expressions/ExpressionFieldTest.kt +++ b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/expressions/ExpressionFieldTest.kt @@ -1,6 +1,6 @@ package space.kscience.kmath.expressions -import space.kscience.kmath.operations.RealField +import space.kscience.kmath.operations.DoubleField import space.kscience.kmath.operations.invoke import kotlin.test.Test import kotlin.test.assertEquals @@ -11,7 +11,7 @@ class ExpressionFieldTest { @Test fun testExpression() { - val expression = FunctionalExpressionField(RealField).invoke { + val expression = FunctionalExpressionField(DoubleField).invoke { val x by binding() x * x + 2 * x + one } @@ -27,7 +27,7 @@ class ExpressionFieldTest { return x * x + 2 * x + one } - val expression = FunctionalExpressionField(RealField).expression() + val expression = FunctionalExpressionField(DoubleField).expression() assertEquals(expression(x to 1.0), 4.0) } @@ -38,7 +38,7 @@ class ExpressionFieldTest { x * x + 2 * x + one } - val expression = FunctionalExpressionField(RealField).expressionBuilder() + val expression = FunctionalExpressionField(DoubleField).expressionBuilder() assertEquals(expression(x to 1.0), 4.0) } } diff --git a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/expressions/SimpleAutoDiffTest.kt b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/expressions/SimpleAutoDiffTest.kt index ee7fffa4c..ca7aca905 100644 --- a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/expressions/SimpleAutoDiffTest.kt +++ b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/expressions/SimpleAutoDiffTest.kt @@ -1,6 +1,7 @@ package space.kscience.kmath.expressions -import space.kscience.kmath.operations.RealField +import space.kscience.kmath.operations.DoubleField +import space.kscience.kmath.structures.Buffer import space.kscience.kmath.structures.asBuffer import kotlin.math.E import kotlin.math.PI @@ -14,19 +15,19 @@ class SimpleAutoDiffTest { fun dx( xBinding: Pair, - body: SimpleAutoDiffField.(x: AutoDiffValue) -> AutoDiffValue, - ): DerivationResult = RealField.simpleAutoDiff(xBinding) { body(bindSymbol(xBinding.first)) } + body: SimpleAutoDiffField.(x: AutoDiffValue) -> AutoDiffValue, + ): DerivationResult = DoubleField.simpleAutoDiff(xBinding) { body(bindSymbol(xBinding.first)) } fun dxy( xBinding: Pair, yBinding: Pair, - body: SimpleAutoDiffField.(x: AutoDiffValue, y: AutoDiffValue) -> AutoDiffValue, - ): DerivationResult = RealField.simpleAutoDiff(xBinding, yBinding) { + body: SimpleAutoDiffField.(x: AutoDiffValue, y: AutoDiffValue) -> AutoDiffValue, + ): DerivationResult = DoubleField.simpleAutoDiff(xBinding, yBinding) { body(bindSymbol(xBinding.first), bindSymbol(yBinding.first)) } - fun diff(block: SimpleAutoDiffField.() -> AutoDiffValue): SimpleAutoDiffExpression { - return SimpleAutoDiffExpression(RealField, block) + fun diff(block: SimpleAutoDiffField.() -> AutoDiffValue): SimpleAutoDiffExpression { + return SimpleAutoDiffExpression(DoubleField, block) } val x by symbol @@ -35,7 +36,7 @@ class SimpleAutoDiffTest { @Test fun testPlusX2() { - val y = RealField.simpleAutoDiff(x to 3.0) { + val y = DoubleField.simpleAutoDiff(x to 3.0) { // diff w.r.t this x at 3 val x = bindSymbol(x) x + x @@ -58,7 +59,7 @@ class SimpleAutoDiffTest { @Test fun testPlus() { // two variables - val z = RealField.simpleAutoDiff(x to 2.0, y to 3.0) { + val z = DoubleField.simpleAutoDiff(x to 2.0, y to 3.0) { val x = bindSymbol(x) val y = bindSymbol(y) x + y @@ -71,7 +72,7 @@ class SimpleAutoDiffTest { @Test fun testMinus() { // two variables - val z = RealField.simpleAutoDiff(x to 7.0, y to 3.0) { + val z = DoubleField.simpleAutoDiff(x to 7.0, y to 3.0) { val x = bindSymbol(x) val y = bindSymbol(y) @@ -276,7 +277,7 @@ class SimpleAutoDiffTest { fun testDivGrad() { val res = dxy(x to 1.0, y to 2.0) { x, y -> x * x + y * y } assertEquals(6.0, res.div()) - assertTrue(res.grad(x, y).contentEquals(doubleArrayOf(2.0, 4.0).asBuffer())) + assertTrue(Buffer.contentEquals(res.grad(x, y), doubleArrayOf(2.0, 4.0).asBuffer())) } private fun assertApprox(a: Double, b: Double) { diff --git a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/linear/DoubleLUSolverTest.kt b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/linear/DoubleLUSolverTest.kt new file mode 100644 index 000000000..445aadd97 --- /dev/null +++ b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/linear/DoubleLUSolverTest.kt @@ -0,0 +1,56 @@ +package space.kscience.kmath.linear + +import space.kscience.kmath.misc.UnstableKMathAPI +import space.kscience.kmath.nd.StructureND +import kotlin.test.Test +import kotlin.test.assertEquals +import kotlin.test.assertTrue + +fun assertMatrixEquals(expected: StructureND, actual: StructureND) { + assertTrue { StructureND.contentEquals(expected, actual) } +} + +@UnstableKMathAPI +class DoubleLUSolverTest { + + @Test + fun testInvertOne() { + val matrix = LinearSpace.real.one(2, 2) + val inverted = LinearSpace.real.inverseWithLup(matrix) + assertMatrixEquals(matrix, inverted) + } + + @Test + fun testDecomposition() { + LinearSpace.real.run { + val matrix = matrix(2, 2)( + 3.0, 1.0, + 2.0, 3.0 + ) + + val lup = lup(matrix) + + //Check determinant + assertEquals(7.0, lup.determinant) + + assertMatrixEquals(lup.p dot matrix, lup.l dot lup.u) + } + } + + @Test + fun testInvert() { + val matrix = LinearSpace.real.matrix(2, 2)( + 3.0, 1.0, + 1.0, 3.0 + ) + + val inverted = LinearSpace.real.inverseWithLup(matrix) + + val expected = LinearSpace.real.matrix(2, 2)( + 0.375, -0.125, + -0.125, 0.375 + ) + + assertMatrixEquals(expected, inverted) + } +} 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..fd6fb320b 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 +1,25 @@ package space.kscience.kmath.linear -import space.kscience.kmath.nd.NDStructure +import space.kscience.kmath.misc.UnstableKMathAPI +import space.kscience.kmath.nd.StructureND import space.kscience.kmath.nd.as2D -import space.kscience.kmath.operations.invoke import kotlin.test.Test import kotlin.test.assertEquals +import kotlin.test.assertTrue +@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) + assertTrue { StructureND.contentEquals(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 +41,7 @@ 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 } @@ -49,10 +51,10 @@ class MatrixTest { @Test fun test2DDot() { - val firstMatrix = NDStructure.auto(2, 3) { (i, j) -> (i + j).toDouble() }.as2D() - val secondMatrix = NDStructure.auto(3, 2) { (i, j) -> (i + j).toDouble() }.as2D() + val firstMatrix = StructureND.auto(2, 3) { (i, j) -> (i + j).toDouble() }.as2D() + val secondMatrix = StructureND.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 deleted file mode 100644 index f1289801a..000000000 --- a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/linear/RealLUSolverTest.kt +++ /dev/null @@ -1,48 +0,0 @@ -package space.kscience.kmath.linear - -import kotlin.test.Test -import kotlin.test.assertEquals - -class RealLUSolverTest { - - @Test - fun testInvertOne() { - val matrix = MatrixContext.real.one(2, 2) - val inverted = MatrixContext.real.inverseWithLup(matrix) - assertEquals(matrix, inverted) - } - - @Test - fun testDecomposition() { - val matrix = Matrix.square( - 3.0, 1.0, - 1.0, 3.0 - ) - - MatrixContext.real.run { - val lup = lup(matrix) - - //Check determinant - assertEquals(8.0, lup.determinant) - - assertEquals(lup.p dot matrix, lup.l dot lup.u) - } - } - - @Test - fun testInvert() { - val matrix = Matrix.square( - 3.0, 1.0, - 1.0, 3.0 - ) - - val inverted = MatrixContext.real.inverseWithLup(matrix) - - val expected = Matrix.square( - 0.375, -0.125, - -0.125, 0.375 - ) - - assertEquals(expected, inverted) - } -} diff --git a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/operations/RealFieldTest.kt b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/operations/DoubleFieldTest.kt similarity index 59% rename from kmath-core/src/commonTest/kotlin/space/kscience/kmath/operations/RealFieldTest.kt rename to kmath-core/src/commonTest/kotlin/space/kscience/kmath/operations/DoubleFieldTest.kt index bba612d12..fde4f4a9e 100644 --- a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/operations/RealFieldTest.kt +++ b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/operations/DoubleFieldTest.kt @@ -4,13 +4,13 @@ import space.kscience.kmath.testutils.FieldVerifier import kotlin.test.Test import kotlin.test.assertEquals -internal class RealFieldTest { +internal class DoubleFieldTest { @Test - fun verify() = FieldVerifier(RealField, 42.0, 66.0, 2.0, 5).verify() + fun verify() = FieldVerifier(DoubleField, 42.0, 66.0, 2.0, 5).verify() @Test fun testSqrt() { - val sqrt = RealField { sqrt(25 * one) } + val sqrt = DoubleField { sqrt(25 * one) } assertEquals(5.0, sqrt) } } diff --git a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/structures/NDFieldTest.kt b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/structures/NDFieldTest.kt index 3c84d7b4b..b282ee9f5 100644 --- a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/structures/NDFieldTest.kt +++ b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/structures/NDFieldTest.kt @@ -1,6 +1,6 @@ package space.kscience.kmath.structures -import space.kscience.kmath.nd.NDAlgebra +import space.kscience.kmath.nd.AlgebraND import space.kscience.kmath.nd.get import space.kscience.kmath.nd.real import space.kscience.kmath.operations.invoke @@ -11,12 +11,12 @@ import kotlin.test.assertEquals internal class NDFieldTest { @Test fun verify() { - (NDAlgebra.real(12, 32)) { FieldVerifier(this, one + 3, one - 23, one * 12, 6.66) } + (AlgebraND.real(12, 32)) { FieldVerifier(this, one + 3, one - 23, one * 12, 6.66) } } @Test fun testStrides() { - val ndArray = NDAlgebra.real(10, 10).produce { (it[0] + it[1]).toDouble() } + val ndArray = AlgebraND.real(10, 10).produce { (it[0] + it[1]).toDouble() } assertEquals(ndArray[5, 5], 10.0) } } 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..fb67f0308 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 = AlgebraND.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) { @@ -66,15 +69,15 @@ class NumberNDFieldTest { val division = array1.combine(array2, Double::div) } - object L2Norm : Norm, Double> { - override fun norm(arg: NDStructure): Double = + object L2Norm : Norm, Double> { + override fun norm(arg: StructureND): Double = kotlin.math.sqrt(arg.elements().sumByDouble { it.second.toDouble() }) } @Test fun testInternalContext() { algebra { - (NDAlgebra.real(*array1.shape)) { with(L2Norm) { 1 + norm(array1) + exp(array2) } } + (AlgebraND.real(*array1.shape)) { with(L2Norm) { 1 + norm(array1) + exp(array2) } } } } } diff --git a/kmath-coroutines/build.gradle.kts b/kmath-coroutines/build.gradle.kts index 4a9ca5244..b68dd2e8d 100644 --- a/kmath-coroutines/build.gradle.kts +++ b/kmath-coroutines/build.gradle.kts @@ -18,6 +18,6 @@ kotlin.sourceSets { } } -readme{ +readme { maturity = ru.mipt.npm.gradle.Maturity.EXPERIMENTAL } \ No newline at end of file diff --git a/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/chains/BlockingRealChain.kt b/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/chains/BlockingDoubleChain.kt similarity index 82% rename from kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/chains/BlockingRealChain.kt rename to kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/chains/BlockingDoubleChain.kt index ac6b117dc..bc4508994 100644 --- a/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/chains/BlockingRealChain.kt +++ b/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/chains/BlockingDoubleChain.kt @@ -3,7 +3,7 @@ package space.kscience.kmath.chains /** * Performance optimized chain for real values */ -public abstract class BlockingRealChain : Chain { +public abstract class BlockingDoubleChain : Chain { public abstract fun nextDouble(): Double override suspend fun next(): Double = nextDouble() diff --git a/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/chains/Chain.kt b/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/chains/Chain.kt index 5375113fe..26d078fcb 100644 --- a/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/chains/Chain.kt +++ b/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/chains/Chain.kt @@ -83,7 +83,7 @@ public class StatefulChain( private val state: S, private val seed: S.() -> R, private val forkState: ((S) -> S), - private val gen: suspend S.(R) -> R + private val gen: suspend S.(R) -> R, ) : Chain { private val mutex: Mutex = Mutex() private var value: R? = null @@ -145,7 +145,7 @@ public fun Chain.collect(mapper: suspend (Chain) -> R): Chain = public fun Chain.collectWithState( state: S, stateFork: (S) -> S, - mapper: suspend S.(Chain) -> R + mapper: suspend S.(Chain) -> R, ): Chain = object : Chain { override suspend fun next(): R = state.mapper(this@collectWithState) diff --git a/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/coroutines/coroutinesExtra.kt b/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/coroutines/coroutinesExtra.kt index 6578af0e9..7a3a52657 100644 --- a/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/coroutines/coroutinesExtra.kt +++ b/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/coroutines/coroutinesExtra.kt @@ -27,7 +27,7 @@ public class AsyncFlow internal constructor(internal val deferredFlow: Flow Flow.async( dispatcher: CoroutineDispatcher = Dispatchers.Default, - block: suspend CoroutineScope.(T) -> R + block: suspend CoroutineScope.(T) -> R, ): AsyncFlow { val flow = map { LazyDeferred(dispatcher) { block(it) } } return AsyncFlow(flow) @@ -72,12 +72,12 @@ public suspend fun AsyncFlow.collect(concurrency: Int, collector: FlowCol public suspend inline fun AsyncFlow.collect( concurrency: Int, - crossinline action: suspend (value: T) -> Unit + crossinline action: suspend (value: T) -> Unit, ): Unit = collect(concurrency, object : FlowCollector { override suspend fun emit(value: T): Unit = action(value) }) public inline fun Flow.mapParallel( dispatcher: CoroutineDispatcher = Dispatchers.Default, - crossinline transform: suspend (T) -> R + crossinline transform: suspend (T) -> R, ): Flow = flatMapMerge { value -> flow { emit(transform(value)) } }.flowOn(dispatcher) diff --git a/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/streaming/BufferFlow.kt b/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/streaming/BufferFlow.kt index 4df22c2ad..c271f8889 100644 --- a/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/streaming/BufferFlow.kt +++ b/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/streaming/BufferFlow.kt @@ -2,10 +2,10 @@ package space.kscience.kmath.streaming import kotlinx.coroutines.FlowPreview import kotlinx.coroutines.flow.* -import space.kscience.kmath.chains.BlockingRealChain +import space.kscience.kmath.chains.BlockingDoubleChain import space.kscience.kmath.structures.Buffer import space.kscience.kmath.structures.BufferFactory -import space.kscience.kmath.structures.RealBuffer +import space.kscience.kmath.structures.DoubleBuffer import space.kscience.kmath.structures.asBuffer /** @@ -45,10 +45,10 @@ public fun Flow.chunked(bufferSize: Int, bufferFactory: BufferFactory) /** * Specialized flow chunker for real buffer */ -public fun Flow.chunked(bufferSize: Int): Flow = flow { +public fun Flow.chunked(bufferSize: Int): Flow = flow { require(bufferSize > 0) { "Resulting chunk size must be more than zero" } - if (this@chunked is BlockingRealChain) { + if (this@chunked is BlockingDoubleChain) { // performance optimization for blocking primitive chain while (true) emit(nextBlock(bufferSize).asBuffer()) } else { @@ -60,13 +60,13 @@ public fun Flow.chunked(bufferSize: Int): Flow = flow { counter++ if (counter == bufferSize) { - val buffer = RealBuffer(array) + val buffer = DoubleBuffer(array) emit(buffer) counter = 0 } } - if (counter > 0) emit(RealBuffer(counter) { array[it] }) + if (counter > 0) emit(DoubleBuffer(counter) { array[it] }) } } diff --git a/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/streaming/RingBuffer.kt b/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/streaming/RingBuffer.kt index efed41112..f81ad2f0d 100644 --- a/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/streaming/RingBuffer.kt +++ b/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/streaming/RingBuffer.kt @@ -13,7 +13,7 @@ import space.kscience.kmath.structures.VirtualBuffer public class RingBuffer( private val buffer: MutableBuffer, private var startIndex: Int = 0, - size: Int = 0 + size: Int = 0, ) : Buffer { private val mutex: Mutex = Mutex() diff --git a/kmath-coroutines/src/jvmMain/kotlin/space/kscience/kmath/structures/LazyNDStructure.kt b/kmath-coroutines/src/jvmMain/kotlin/space/kscience/kmath/structures/LazyNDStructure.kt deleted file mode 100644 index 51a79f44a..000000000 --- a/kmath-coroutines/src/jvmMain/kotlin/space/kscience/kmath/structures/LazyNDStructure.kt +++ /dev/null @@ -1,58 +0,0 @@ -package space.kscience.kmath.structures - -import kotlinx.coroutines.* -import space.kscience.kmath.coroutines.Math -import space.kscience.kmath.nd.DefaultStrides -import space.kscience.kmath.nd.NDStructure - -public class LazyNDStructure( - public val scope: CoroutineScope, - public override val shape: IntArray, - public val function: suspend (IntArray) -> T -) : NDStructure { - private val cache: MutableMap> = hashMapOf() - - public fun deferred(index: IntArray): Deferred = cache.getOrPut(index) { - scope.async(context = Dispatchers.Math) { function(index) } - } - - public suspend fun await(index: IntArray): T = deferred(index).await() - public override operator fun get(index: IntArray): T = runBlocking { deferred(index).await() } - - public override fun elements(): Sequence> { - val strides = DefaultStrides(shape) - val res = runBlocking { strides.indices().toList().map { index -> index to await(index) } } - return res.asSequence() - } - - public override fun equals(other: Any?): Boolean { - return NDStructure.contentEquals(this, other as? NDStructure<*> ?: return false) - } - - public override fun hashCode(): Int { - var result = scope.hashCode() - result = 31 * result + shape.contentHashCode() - result = 31 * result + function.hashCode() - result = 31 * result + cache.hashCode() - return result - } -} - -public fun NDStructure.deferred(index: IntArray): Deferred = - if (this is LazyNDStructure) deferred(index) else CompletableDeferred(get(index)) - -public suspend fun NDStructure.await(index: IntArray): T = - if (this is LazyNDStructure) await(index) else get(index) - -/** - * PENDING would benefit from KEEP-176 - */ -public inline fun NDStructure.mapAsyncIndexed( - scope: CoroutineScope, - crossinline function: suspend (T, index: IntArray) -> R -): LazyNDStructure = LazyNDStructure(scope, shape) { index -> function(get(index), index) } - -public inline fun NDStructure.mapAsync( - scope: CoroutineScope, - crossinline function: suspend (T) -> R -): LazyNDStructure = LazyNDStructure(scope, shape) { index -> function(get(index)) } diff --git a/kmath-coroutines/src/jvmMain/kotlin/space/kscience/kmath/structures/LazyStructureND.kt b/kmath-coroutines/src/jvmMain/kotlin/space/kscience/kmath/structures/LazyStructureND.kt new file mode 100644 index 000000000..6b0938c54 --- /dev/null +++ b/kmath-coroutines/src/jvmMain/kotlin/space/kscience/kmath/structures/LazyStructureND.kt @@ -0,0 +1,46 @@ +package space.kscience.kmath.structures + +import kotlinx.coroutines.* +import space.kscience.kmath.coroutines.Math +import space.kscience.kmath.nd.DefaultStrides +import space.kscience.kmath.nd.StructureND + +public class LazyStructureND( + public val scope: CoroutineScope, + public override val shape: IntArray, + public val function: suspend (IntArray) -> T, +) : StructureND { + private val cache: MutableMap> = HashMap() + + public fun deferred(index: IntArray): Deferred = cache.getOrPut(index) { + scope.async(context = Dispatchers.Math) { function(index) } + } + + public suspend fun await(index: IntArray): T = deferred(index).await() + public override operator fun get(index: IntArray): T = runBlocking { deferred(index).await() } + + public override fun elements(): Sequence> { + val strides = DefaultStrides(shape) + val res = runBlocking { strides.indices().toList().map { index -> index to await(index) } } + return res.asSequence() + } +} + +public fun StructureND.deferred(index: IntArray): Deferred = + if (this is LazyStructureND) deferred(index) else CompletableDeferred(get(index)) + +public suspend fun StructureND.await(index: IntArray): T = + if (this is LazyStructureND) await(index) else get(index) + +/** + * PENDING would benefit from KEEP-176 + */ +public inline fun StructureND.mapAsyncIndexed( + scope: CoroutineScope, + crossinline function: suspend (T, index: IntArray) -> R, +): LazyStructureND = LazyStructureND(scope, shape) { index -> function(get(index), index) } + +public inline fun StructureND.mapAsync( + scope: CoroutineScope, + crossinline function: suspend (T) -> R, +): LazyStructureND = LazyStructureND(scope, shape) { index -> function(get(index)) } diff --git a/kmath-dimensions/build.gradle.kts b/kmath-dimensions/build.gradle.kts index 3355eda42..3c73f34e6 100644 --- a/kmath-dimensions/build.gradle.kts +++ b/kmath-dimensions/build.gradle.kts @@ -19,6 +19,6 @@ kotlin.sourceSets { } } -readme{ +readme { maturity = ru.mipt.npm.gradle.Maturity.PROTOTYPE } 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..dd85a97cb 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 @@ -1,8 +1,12 @@ package space.kscience.kmath.dimensions -import space.kscience.kmath.linear.* +import space.kscience.kmath.linear.LinearSpace +import space.kscience.kmath.linear.Matrix +import space.kscience.kmath.linear.Point +import space.kscience.kmath.linear.transpose import space.kscience.kmath.nd.Structure2D -import space.kscience.kmath.operations.invoke +import space.kscience.kmath.operations.DoubleField +import space.kscience.kmath.operations.Ring /** * A matrix with compile-time controlled dimension @@ -77,7 +81,7 @@ 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 +97,19 @@ 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 +118,31 @@ 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 +150,12 @@ public inline class DMatrixContext(public val context: MatrixContext DMatrixContext.one(): DMatrix = produce { i, j -> - if (i == j) 1.0 else 0.0 -} +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/README.md b/kmath-ejml/README.md new file mode 100644 index 000000000..1081b2b7f --- /dev/null +++ b/kmath-ejml/README.md @@ -0,0 +1,43 @@ +# ejml-simple support (`kmath-ejml`) + +This subproject implements the following features: + + - [ejml-vector](src/main/kotlin/space/kscience/kmath/ejml/EjmlVector.kt) : The Point implementation using SimpleMatrix. + - [ejml-matrix](src/main/kotlin/space/kscience/kmath/ejml/EjmlMatrix.kt) : The Matrix implementation using SimpleMatrix. + - [ejml-linear-space](src/main/kotlin/space/kscience/kmath/ejml/EjmlLinearSpace.kt) : The LinearSpace implementation using SimpleMatrix. + + +> #### Artifact: +> +> This module artifact: `space.kscience:kmath-ejml:0.3.0-dev-3`. +> +> Bintray release version: [ ![Download](https://api.bintray.com/packages/mipt-npm/kscience/kmath-ejml/images/download.svg) ](https://bintray.com/mipt-npm/kscience/kmath-ejml/_latestVersion) +> +> Bintray development version: [ ![Download](https://api.bintray.com/packages/mipt-npm/dev/kmath-ejml/images/download.svg) ](https://bintray.com/mipt-npm/dev/kmath-ejml/_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 +> } +> +> dependencies { +> implementation 'space.kscience:kmath-ejml:0.3.0-dev-3' +> } +> ``` +> **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 +> } +> +> dependencies { +> implementation("space.kscience:kmath-ejml:0.3.0-dev-3") +> } +> ``` diff --git a/kmath-ejml/build.gradle.kts b/kmath-ejml/build.gradle.kts index 07f95b13f..5091139ac 100644 --- a/kmath-ejml/build.gradle.kts +++ b/kmath-ejml/build.gradle.kts @@ -1,12 +1,33 @@ +import ru.mipt.npm.gradle.Maturity + plugins { id("ru.mipt.npm.gradle.jvm") } dependencies { - implementation("org.ejml:ejml-simple:0.39") - implementation(project(":kmath-core")) + api("org.ejml:ejml-simple:0.40") + api(project(":kmath-core")) } -readme{ - maturity = ru.mipt.npm.gradle.Maturity.PROTOTYPE -} \ No newline at end of file +readme { + maturity = Maturity.PROTOTYPE + propertyByTemplate("artifact", rootProject.file("docs/templates/ARTIFACT-TEMPLATE.md")) + + feature( + id = "ejml-vector", + description = "The Point implementation using SimpleMatrix.", + ref = "src/main/kotlin/space/kscience/kmath/ejml/EjmlVector.kt" + ) + + feature( + id = "ejml-matrix", + description = "The Matrix implementation using SimpleMatrix.", + ref = "src/main/kotlin/space/kscience/kmath/ejml/EjmlMatrix.kt" + ) + + feature( + id = "ejml-linear-space", + description = "The LinearSpace implementation using SimpleMatrix.", + ref = "src/main/kotlin/space/kscience/kmath/ejml/EjmlLinearSpace.kt" + ) +} diff --git a/kmath-ejml/docs/README-TEMPLATE.md b/kmath-ejml/docs/README-TEMPLATE.md new file mode 100644 index 000000000..c53f4a81c --- /dev/null +++ b/kmath-ejml/docs/README-TEMPLATE.md @@ -0,0 +1,7 @@ +# ejml-simple support (`kmath-ejml`) + +This subproject implements the following features: + +${features} + +${artifact} 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..6fc0a049c --- /dev/null +++ b/kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlLinearSpace.kt @@ -0,0 +1,203 @@ +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.DoubleField +import space.kscience.kmath.structures.DoubleBuffer +import kotlin.reflect.KClass +import kotlin.reflect.cast + +/** + * Represents context of basic operations operating with [EjmlMatrix]. + * + * @author Iaroslav Postovalov + * @author Alexander Nozik + */ +public object EjmlLinearSpace : LinearSpace { + /** + * The [DoubleField] reference. + */ + public override val elementAlgebra: DoubleField get() = DoubleField + + /** + * 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) } + }) + } + + public override fun buildMatrix( + rows: Int, + columns: Int, + initializer: DoubleField.(i: Int, j: Int) -> Double, + ): EjmlMatrix = EjmlMatrix(SimpleMatrix(rows, columns).also { + (0 until rows).forEach { row -> + (0 until columns).forEach { col -> it[row, col] = DoubleField.initializer(row, col) } + } + }) + + public override fun buildVector(size: Int, initializer: DoubleField.(Int) -> Double): Point = + EjmlVector(SimpleMatrix(size, 1).also { + (0 until it.numRows()).forEach { row -> it[row, 0] = DoubleField.initializer(row) } + }) + + private fun SimpleMatrix.wrapMatrix() = EjmlMatrix(this) + private fun SimpleMatrix.wrapVector() = EjmlVector(this) + + public 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() + + public override fun Point.unaryMinus(): EjmlVector = + toEjml().origin.negative().wrapVector() + + public override fun Matrix.plus(other: Matrix): EjmlMatrix = + (toEjml().origin + other.toEjml().origin).wrapMatrix() + + public override fun Point.plus(other: Point): EjmlVector = + (toEjml().origin + other.toEjml().origin).wrapVector() + + public override fun Point.minus(other: Point): EjmlVector = + (toEjml().origin - other.toEjml().origin).wrapVector() + + public override fun Double.times(m: Matrix): EjmlMatrix = + m.toEjml().origin.scale(this).wrapMatrix() + + public override fun Point.times(value: Double): EjmlVector = + toEjml().origin.scale(value).wrapVector() + + public override fun Double.times(v: Point): EjmlVector = + v.toEjml().origin.scale(this).wrapVector() + + @UnstableKMathAPI + public 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 { DoubleBuffer(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]*. + * + * @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]*. + * + * @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)) + +/** + * Inverts this matrix. + * + * @author Alexander Nozik + */ +@OptIn(UnstableKMathAPI::class) +public fun EjmlMatrix.inverted(): EjmlMatrix = getFeature>()!!.inverse as EjmlMatrix + +/** + * Inverts the given matrix. + * + * @author Alexander Nozik + */ +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..10afd6ec2 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 @@ -1,95 +1,17 @@ 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.NDStructure -import space.kscience.kmath.structures.RealBuffer -import kotlin.reflect.KClass -import kotlin.reflect.cast +import space.kscience.kmath.linear.Matrix /** - * Represents featured matrix over EJML [SimpleMatrix]. + * The matrix implementation over EJML [SimpleMatrix]. * * @property origin the underlying [SimpleMatrix]. * @author Iaroslav Postovalov */ -public class EjmlMatrix(public val origin: SimpleMatrix) : Matrix { +public inline 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 - return NDStructure.contentEquals(this, other) - } - - override fun hashCode(): Int = origin.hashCode() - - } 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/main/kotlin/space/kscience/kmath/ejml/EjmlVector.kt b/kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlVector.kt index efa1f6128..2c8d2edd4 100644 --- a/kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlVector.kt +++ b/kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlVector.kt @@ -2,7 +2,6 @@ package space.kscience.kmath.ejml import org.ejml.simple.SimpleMatrix import space.kscience.kmath.linear.Point -import space.kscience.kmath.structures.Buffer /** * Represents point over EJML [SimpleMatrix]. @@ -10,7 +9,7 @@ import space.kscience.kmath.structures.Buffer * @property origin the underlying [SimpleMatrix]. * @author Iaroslav Postovalov */ -public class EjmlVector internal constructor(public val origin: SimpleMatrix) : Point { +public inline class EjmlVector internal constructor(public val origin: SimpleMatrix) : Point { public override val size: Int get() = origin.numRows() @@ -31,10 +30,5 @@ public class EjmlVector internal constructor(public val origin: SimpleMatrix) : override fun hasNext(): Boolean = cursor < origin.numCols() * origin.numRows() } - public override fun contentEquals(other: Buffer<*>): Boolean { - if (other is EjmlVector) return origin.isIdentical(other.origin, 0.0) - return super.contentEquals(other) - } - public override fun toString(): String = "EjmlVector(origin=$origin)" } 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..5fb526f40 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 @@ -2,16 +2,18 @@ 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.StructureND import space.kscience.kmath.nd.getFeature import kotlin.random.Random import kotlin.random.asJavaRandom import kotlin.test.* +fun assertMatrixEquals(expected: StructureND, actual: StructureND) { + assertTrue { StructureND.contentEquals(expected, actual) } +} + internal class EjmlMatrixTest { private val random = Random(0) @@ -45,16 +47,16 @@ 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()) } - assertEquals(EjmlMatrix(SimpleMatrix(ludecompositionF64.getLower(null))), lup.l) - assertEquals(EjmlMatrix(SimpleMatrix(ludecompositionF64.getUpper(null))), lup.u) - assertEquals(EjmlMatrix(SimpleMatrix(ludecompositionF64.getRowPivot(null))), lup.p) + assertMatrixEquals(EjmlMatrix(SimpleMatrix(ludecompositionF64.getLower(null))), lup.l) + assertMatrixEquals(EjmlMatrix(SimpleMatrix(ludecompositionF64.getUpper(null))), lup.u) + assertMatrixEquals(EjmlMatrix(SimpleMatrix(ludecompositionF64.getRowPivot(null))), lup.p) } private object SomeFeature : MatrixFeature {} diff --git a/kmath-for-real/README.md b/kmath-for-real/README.md index 94b9eb59a..139cd3cef 100644 --- a/kmath-for-real/README.md +++ b/kmath-for-real/README.md @@ -1,13 +1,13 @@ # Real number specialization module (`kmath-for-real`) - - [RealVector](src/commonMain/kotlin/kscience/kmath/real/RealVector.kt) : Numpy-like operations for Buffers/Points - - [RealMatrix](src/commonMain/kotlin/kscience/kmath/real/RealMatrix.kt) : Numpy-like operations for 2d real structures - - [grids](src/commonMain/kotlin/kscience/kmath/structures/grids.kt) : Uniform grid generators + - [DoubleVector](src/commonMain/kotlin/space/kscience/kmath/real/DoubleVector.kt) : Numpy-like operations for Buffers/Points + - [DoubleMatrix](src/commonMain/kotlin/space/kscience/kmath/real/DoubleMatrix.kt) : Numpy-like operations for 2d real structures + - [grids](src/commonMain/kotlin/space/kscience/kmath/structures/grids.kt) : Uniform grid generators > #### Artifact: > -> This module artifact: `space.kscience:kmath-for-real:0.2.0`. +> This module artifact: `space.kscience:kmath-for-real:0.3.0-dev-3`. > > 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) > @@ -20,13 +20,10 @@ > 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-for-real:0.2.0' +> implementation 'space.kscience:kmath-for-real:0.3.0-dev-3' > } > ``` > **Gradle Kotlin DSL:** @@ -36,12 +33,9 @@ > 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-for-real:0.2.0") +> implementation("space.kscience:kmath-for-real:0.3.0-dev-3") > } > ``` diff --git a/kmath-for-real/build.gradle.kts b/kmath-for-real/build.gradle.kts index d095cac04..0dcaf330a 100644 --- a/kmath-for-real/build.gradle.kts +++ b/kmath-for-real/build.gradle.kts @@ -18,20 +18,20 @@ readme { propertyByTemplate("artifact", rootProject.file("docs/templates/ARTIFACT-TEMPLATE.md")) feature( - id = "RealVector", + id = "DoubleVector", description = "Numpy-like operations for Buffers/Points", - ref = "src/commonMain/kotlin/kscience/kmath/real/RealVector.kt" + ref = "src/commonMain/kotlin/space/kscience/kmath/real/DoubleVector.kt" ) feature( - id = "RealMatrix", + id = "DoubleMatrix", description = "Numpy-like operations for 2d real structures", - ref = "src/commonMain/kotlin/kscience/kmath/real/RealMatrix.kt" + ref = "src/commonMain/kotlin/space/kscience/kmath/real/DoubleMatrix.kt" ) feature( id = "grids", description = "Uniform grid generators", - ref = "src/commonMain/kotlin/kscience/kmath/structures/grids.kt" + ref = "src/commonMain/kotlin/space/kscience/kmath/structures/grids.kt" ) } 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..a16d64234 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 @@ -2,8 +2,9 @@ package space.kscience.kmath.real import space.kscience.kmath.linear.* import space.kscience.kmath.misc.UnstableKMathAPI +import space.kscience.kmath.operations.DoubleField import space.kscience.kmath.structures.Buffer -import space.kscience.kmath.structures.RealBuffer +import space.kscience.kmath.structures.DoubleBuffer import space.kscience.kmath.structures.asIterable import kotlin.math.pow @@ -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: DoubleField.(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]'? @@ -87,47 +92,47 @@ 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 = extractColumns(columnIndex..columnIndex) -public fun RealMatrix.sumByColumn(): RealBuffer = RealBuffer(colNum) { j -> +public fun RealMatrix.sumByColumn(): DoubleBuffer = DoubleBuffer(colNum) { j -> columns[j].asIterable().sum() } -public fun RealMatrix.minByColumn(): RealBuffer = RealBuffer(colNum) { j -> +public fun RealMatrix.minByColumn(): DoubleBuffer = DoubleBuffer(colNum) { j -> columns[j].asIterable().minOrNull() ?: error("Cannot produce min on empty column") } -public fun RealMatrix.maxByColumn(): RealBuffer = RealBuffer(colNum) { j -> +public fun RealMatrix.maxByColumn(): DoubleBuffer = DoubleBuffer(colNum) { j -> columns[j].asIterable().maxOrNull() ?: error("Cannot produce min on empty column") } -public fun RealMatrix.averageByColumn(): RealBuffer = RealBuffer(colNum) { j -> +public fun RealMatrix.averageByColumn(): DoubleBuffer = DoubleBuffer(colNum) { j -> columns[j].asIterable().average() } @@ -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..433e3c756 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 @@ -1,90 +1,105 @@ 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.double 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 -public typealias RealVector = Point +public typealias DoubleVector = Point public object VectorL2Norm : Norm, Double> { override fun norm(arg: Point): Double = sqrt(arg.asIterable().sumByDouble(Number::toDouble)) } -public operator fun Buffer.Companion.invoke(vararg doubles: Double): RealVector = doubles.asBuffer() +@Suppress("FunctionName") +public fun DoubleVector(vararg doubles: Double): DoubleVector = doubles.asBuffer() /** * Fill the vector of given [size] with given [value] */ -public fun Buffer.Companion.same(size: Int, value: Number): RealVector = real(size) { value.toDouble() } +@UnstableKMathAPI +public fun Buffer.Companion.same(size: Int, value: Number): DoubleVector = double(size) { value.toDouble() } // Transformation methods -public inline fun RealVector.map(transform: (Double) -> Double): RealVector = - Buffer.real(size) { transform(get(it)) } +public inline fun DoubleVector.map(transform: (Double) -> Double): DoubleVector = + double(size) { transform(get(it)) } -public inline fun RealVector.mapIndexed(transform: (index: Int, value: Double) -> Double): RealVector = - Buffer.real(size) { transform(it, get(it)) } +public inline fun DoubleVector.mapIndexed(transform: (index: Int, value: Double) -> Double): DoubleVector = + double(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"} +public operator fun DoubleVector.plus(other: DoubleVector): DoubleVector { + require(size == other.size) { "Vector size $size expected but ${other.size} found" } return mapIndexed { index, value -> value + other[index] } } -public operator fun RealVector.plus(number: Number): RealVector = map { it + number.toDouble() } +public operator fun DoubleVector.plus(number: Number): DoubleVector = map { it + number.toDouble() } -public operator fun Number.plus(vector: RealVector): RealVector = vector + this +public operator fun Number.plus(vector: DoubleVector): DoubleVector = vector + this -public operator fun RealVector.unaryMinus(): Buffer = map { -it } +public operator fun DoubleVector.unaryMinus(): Buffer = map { -it } -public operator fun RealVector.minus(other: RealVector): RealVector { - require(size == other.size){"Vector size $size expected but ${other.size} found"} +public operator fun DoubleVector.minus(other: DoubleVector): DoubleVector { + require(size == other.size) { "Vector size $size expected but ${other.size} found" } return mapIndexed { index, value -> value - other[index] } } -public operator fun RealVector.minus(number: Number): RealVector = map { it - number.toDouble() } +public operator fun DoubleVector.minus(number: Number): DoubleVector = map { it - number.toDouble() } -public operator fun Number.minus(vector: RealVector): RealVector = vector.map { toDouble() - it } +public operator fun Number.minus(vector: DoubleVector): DoubleVector = vector.map { toDouble() - it } -public operator fun RealVector.times(other: RealVector): RealVector { - require(size == other.size){"Vector size $size expected but ${other.size} found"} +public operator fun DoubleVector.times(other: DoubleVector): DoubleVector { + require(size == other.size) { "Vector size $size expected but ${other.size} found" } return mapIndexed { index, value -> value * other[index] } } -public operator fun RealVector.times(number: Number): RealVector = map { it * number.toDouble() } +public operator fun DoubleVector.times(number: Number): DoubleVector = map { it * number.toDouble() } -public operator fun Number.times(vector: RealVector): RealVector = vector * this +public operator fun Number.times(vector: DoubleVector): DoubleVector = vector * this -public operator fun RealVector.div(other: RealVector): RealVector { - require(size == other.size){"Vector size $size expected but ${other.size} found"} +public operator fun DoubleVector.div(other: DoubleVector): DoubleVector { + require(size == other.size) { "Vector size $size expected but ${other.size} found" } return mapIndexed { index, value -> value / other[index] } } -public operator fun RealVector.div(number: Number): RealVector = map { it / number.toDouble() } +public operator fun DoubleVector.div(number: Number): DoubleVector = map { it / number.toDouble() } -public operator fun Number.div(vector: RealVector): RealVector = vector.map { toDouble() / it } +public operator fun Number.div(vector: DoubleVector): DoubleVector = vector.map { toDouble() / it } //extended operations -public fun RealVector.pow(p: Double): RealVector = map { it.pow(p) } +public fun DoubleVector.pow(p: Double): DoubleVector = map { it.pow(p) } -public fun RealVector.pow(p: Int): RealVector = map { it.pow(p) } +public fun DoubleVector.pow(p: Int): DoubleVector = map { it.pow(p) } -public fun exp(vector: RealVector): RealVector = vector.map { kotlin.math.exp(it) } +public fun exp(vector: DoubleVector): DoubleVector = vector.map { kotlin.math.exp(it) } -public fun sqrt(vector: RealVector): RealVector = vector.map { kotlin.math.sqrt(it) } +public fun sqrt(vector: DoubleVector): DoubleVector = vector.map { kotlin.math.sqrt(it) } -public fun RealVector.square(): RealVector = map { it.pow(2) } +public fun DoubleVector.square(): DoubleVector = map { it.pow(2) } -public fun sin(vector: RealVector): RealVector = vector.map { kotlin.math.sin(it) } +public fun sin(vector: DoubleVector): DoubleVector = vector.map { kotlin.math.sin(it) } -public fun cos(vector: RealVector): RealVector = vector.map { kotlin.math.cos(it) } +public fun cos(vector: DoubleVector): DoubleVector = vector.map { kotlin.math.cos(it) } -public fun tan(vector: RealVector): RealVector = vector.map { kotlin.math.tan(it) } +public fun tan(vector: DoubleVector): DoubleVector = vector.map { kotlin.math.tan(it) } -public fun ln(vector: RealVector): RealVector = vector.map { kotlin.math.ln(it) } +public fun ln(vector: DoubleVector): DoubleVector = vector.map { kotlin.math.ln(it) } -public fun log10(vector: RealVector): RealVector = vector.map { kotlin.math.log10(it) } +public fun log10(vector: DoubleVector): DoubleVector = vector.map { kotlin.math.log10(it) } + +// reductions methods + +public fun DoubleVector.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..d5f093d63 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/commonMain/kotlin/space/kscience/kmath/real/grids.kt b/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/grids.kt index 8b4f1cd96..35297a3ac 100644 --- a/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/grids.kt +++ b/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/grids.kt @@ -33,7 +33,7 @@ public fun ClosedFloatingPointRange.toSequenceWithStep(step: Double): Se } } -public infix fun ClosedFloatingPointRange.step(step: Double): RealVector = +public infix fun ClosedFloatingPointRange.step(step: Double): DoubleVector = toSequenceWithStep(step).toList().asBuffer() /** diff --git a/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/realND.kt b/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/realND.kt index 492e40922..95faec4b3 100644 --- a/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/realND.kt +++ b/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/realND.kt @@ -1,31 +1,31 @@ package space.kscience.kmath.real -import space.kscience.kmath.nd.NDBuffer -import space.kscience.kmath.operations.RealField -import space.kscience.kmath.structures.RealBuffer +import space.kscience.kmath.nd.BufferND +import space.kscience.kmath.operations.DoubleField +import space.kscience.kmath.structures.DoubleBuffer /** - * Map one [NDBuffer] using function without indices. + * Map one [BufferND] using function without indices. */ -public inline fun NDBuffer.mapInline(crossinline transform: RealField.(Double) -> Double): NDBuffer { - val array = DoubleArray(strides.linearSize) { offset -> RealField.transform(buffer[offset]) } - return NDBuffer(strides, RealBuffer(array)) +public inline fun BufferND.mapInline(crossinline transform: DoubleField.(Double) -> Double): BufferND { + val array = DoubleArray(strides.linearSize) { offset -> DoubleField.transform(buffer[offset]) } + return BufferND(strides, DoubleBuffer(array)) } /** * Element by element application of any operation on elements to the whole array. Just like in numpy. */ -public operator fun Function1.invoke(ndElement: NDBuffer): NDBuffer = - ndElement.mapInline { this@invoke(it) } +public operator fun Function1.invoke(elementND: BufferND): BufferND = + elementND.mapInline { this@invoke(it) } /* plus and minus */ /** - * Summation operation for [NDBuffer] and single element + * Summation operation for [BufferND] and single element */ -public operator fun NDBuffer.plus(arg: Double): NDBuffer = mapInline { it + arg } +public operator fun BufferND.plus(arg: Double): BufferND = mapInline { it + arg } /** - * Subtraction operation between [NDBuffer] and single element + * Subtraction operation between [BufferND] and single element */ -public operator fun NDBuffer.minus(arg: Double): NDBuffer = mapInline { it - arg } \ No newline at end of file +public operator fun BufferND.minus(arg: Double): BufferND = mapInline { it - arg } \ 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/DoubleMatrixTest.kt similarity index 70% rename from kmath-for-real/src/commonTest/kotlin/kaceince/kmath/real/RealMatrixTest.kt rename to kmath-for-real/src/commonTest/kotlin/kaceince/kmath/real/DoubleMatrixTest.kt index 9e2778be9..1c47d803a 100644 --- a/kmath-for-real/src/commonTest/kotlin/kaceince/kmath/real/RealMatrixTest.kt +++ b/kmath-for-real/src/commonTest/kotlin/kaceince/kmath/real/DoubleMatrixTest.kt @@ -1,15 +1,21 @@ 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.nd.StructureND import space.kscience.kmath.real.* import space.kscience.kmath.structures.contentEquals import kotlin.test.Test import kotlin.test.assertEquals import kotlin.test.assertTrue -internal class RealMatrixTest { +fun assertMatrixEquals(expected: StructureND, actual: StructureND) { + assertTrue { StructureND.contentEquals(expected, actual) } +} + +@UnstableKMathAPI +internal class DoubleMatrixTest { @Test fun testSum() { val m = realMatrix(10, 10) { i, j -> (i + j).toDouble() } @@ -30,11 +36,11 @@ 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, @@ -42,94 +48,94 @@ internal class RealMatrixTest { 1.0, 0.0, 0.0, 0.0, 1.0, 2.0 ) - assertEquals(matrix2, matrix1.repeatStackVertical(3)) + assertMatrixEquals(matrix2, matrix1.repeatStackVertical(3)) } @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 ) - assertEquals(matrix2, expectedResult) + assertMatrixEquals(matrix2, expectedResult) } @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 ) - assertEquals(matrix2, expectedResult) + assertMatrixEquals(matrix2, expectedResult) } @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 ) - assertEquals(matrix1.square(), matrix2) - assertEquals(matrix1.pow(3), matrix3) + assertMatrixEquals(matrix1.square(), matrix2) + assertMatrixEquals(matrix1.pow(3), matrix3) } @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 ) - assertEquals(result, expectedResult) + assertMatrixEquals(result, expectedResult) } @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 ) - assertEquals(matrix1.appendColumn { it[0] }, matrix2) - assertEquals(matrix1.extractColumn(1), col1) - assertEquals(matrix1.extractColumns(1..2), cols1to2) + assertMatrixEquals(matrix1.appendColumn { it[0] }, matrix2) + assertMatrixEquals(matrix1.extractColumn(1), col1) + assertMatrixEquals(matrix1.extractColumns(1..2), cols1to2) //equals should never be called on buffers assertTrue { matrix1.sumByColumn().contentEquals(3.0, -6.0, 10.0, 4.0) @@ -147,7 +153,7 @@ 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/DoubleVectorTest.kt similarity index 53% rename from kmath-for-real/src/commonTest/kotlin/kaceince/kmath/real/RealVectorTest.kt rename to kmath-for-real/src/commonTest/kotlin/kaceince/kmath/real/DoubleVectorTest.kt index 463c68681..669f88186 100644 --- a/kmath-for-real/src/commonTest/kotlin/kaceince/kmath/real/RealVectorTest.kt +++ b/kmath-for-real/src/commonTest/kotlin/kaceince/kmath/real/DoubleVectorTest.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.DoubleBuffer import kotlin.test.Test import kotlin.test.assertEquals -internal class RealVectorTest { +internal class DoubleVectorTest { @Test fun testSum() { - val vector1 = Buffer.real(5) { it.toDouble() } - val vector2 = Buffer.real(5) { 5 - it.toDouble() } + val vector1 = DoubleBuffer(5) { it.toDouble() } + val vector2 = DoubleBuffer(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 = DoubleBuffer(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 = DoubleBuffer(5) { it.toDouble() } + val vector2 = DoubleBuffer(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-for-real/src/commonTest/kotlin/kaceince/kmath/real/GridTest.kt b/kmath-for-real/src/commonTest/kotlin/kaceince/kmath/real/GridTest.kt index c538a2d99..5a644c8f9 100644 --- a/kmath-for-real/src/commonTest/kotlin/kaceince/kmath/real/GridTest.kt +++ b/kmath-for-real/src/commonTest/kotlin/kaceince/kmath/real/GridTest.kt @@ -6,7 +6,7 @@ import kotlin.test.assertEquals class GridTest { @Test - fun testStepGrid(){ + fun testStepGrid() { val grid = 0.0..1.0 step 0.2 assertEquals(6, grid.size) } diff --git a/kmath-functions/README.md b/kmath-functions/README.md index 0eae4e3c0..d13c4c107 100644 --- a/kmath-functions/README.md +++ b/kmath-functions/README.md @@ -2,15 +2,15 @@ Functions and interpolations: - - [piecewise](Piecewise functions.) : src/commonMain/kotlin/kscience/kmath/functions/Piecewise.kt - - [polynomials](Polynomial functions.) : src/commonMain/kotlin/kscience/kmath/functions/Polynomial.kt - - [linear interpolation](Linear XY interpolator.) : src/commonMain/kotlin/kscience/kmath/interpolation/LinearInterpolator.kt - - [spline interpolation](Cubic spline XY interpolator.) : src/commonMain/kotlin/kscience/kmath/interpolation/SplineInterpolator.kt + - [piecewise](Piecewise functions.) : src/commonMain/kotlin/space/kscience/kmath/functions/Piecewise.kt + - [polynomials](Polynomial functions.) : src/commonMain/kotlin/space/kscience/kmath/functions/Polynomial.kt + - [linear interpolation](Linear XY interpolator.) : src/commonMain/kotlin/space/kscience/kmath/interpolation/LinearInterpolator.kt + - [spline interpolation](Cubic spline XY interpolator.) : src/commonMain/kotlin/space/kscience/kmath/interpolation/SplineInterpolator.kt > #### Artifact: > -> This module artifact: `space.kscience:kmath-functions:0.2.0`. +> This module artifact: `space.kscience:kmath-functions:0.3.0-dev-3`. > > 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) > @@ -23,13 +23,10 @@ Functions and interpolations: > 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-functions:0.2.0' +> implementation 'space.kscience:kmath-functions:0.3.0-dev-3' > } > ``` > **Gradle Kotlin DSL:** @@ -39,12 +36,9 @@ Functions and interpolations: > 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-functions:0.2.0") +> implementation("space.kscience:kmath-functions:0.3.0-dev-3") > } > ``` diff --git a/kmath-functions/build.gradle.kts b/kmath-functions/build.gradle.kts index fc52c4981..51fc75501 100644 --- a/kmath-functions/build.gradle.kts +++ b/kmath-functions/build.gradle.kts @@ -13,8 +13,12 @@ readme { maturity = ru.mipt.npm.gradle.Maturity.PROTOTYPE propertyByTemplate("artifact", rootProject.file("docs/templates/ARTIFACT-TEMPLATE.md")) - feature("piecewise", "src/commonMain/kotlin/kscience/kmath/functions/Piecewise.kt", "Piecewise functions.") - feature("polynomials", "src/commonMain/kotlin/kscience/kmath/functions/Polynomial.kt", "Polynomial functions.") - feature("linear interpolation", "src/commonMain/kotlin/kscience/kmath/interpolation/LinearInterpolator.kt", "Linear XY interpolator.") - feature("spline interpolation", "src/commonMain/kotlin/kscience/kmath/interpolation/SplineInterpolator.kt", "Cubic spline XY interpolator.") + feature("piecewise", "src/commonMain/kotlin/space/kscience/kmath/functions/Piecewise.kt", "Piecewise functions.") + feature("polynomials", "src/commonMain/kotlin/space/kscience/kmath/functions/Polynomial.kt", "Polynomial functions.") + feature("linear interpolation", + "src/commonMain/kotlin/space/kscience/kmath/interpolation/LinearInterpolator.kt", + "Linear XY interpolator.") + feature("spline interpolation", + "src/commonMain/kotlin/space/kscience/kmath/interpolation/SplineInterpolator.kt", + "Cubic spline XY interpolator.") } \ No newline at end of file diff --git a/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/Integrand.kt b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/Integrand.kt new file mode 100644 index 000000000..336a3ef3a --- /dev/null +++ b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/Integrand.kt @@ -0,0 +1,23 @@ +package space.kscience.kmath.integration + +import kotlin.reflect.KClass + +public interface IntegrandFeature + +public interface Integrand { + public fun getFeature(type: KClass): T? +} + +public inline fun Integrand.getFeature(): T? = getFeature(T::class) + +public class IntegrandValue(public val value: T) : IntegrandFeature + +public class IntegrandRelativeAccuracy(public val accuracy: Double) : IntegrandFeature + +public class IntegrandAbsoluteAccuracy(public val accuracy: Double) : IntegrandFeature + +public class IntegrandCalls(public val calls: Int) : IntegrandFeature + +public val Integrand.calls: Int get() = getFeature()?.calls ?: 0 + +public class IntegrandMaxCalls(public val maxCalls: Int) : IntegrandFeature diff --git a/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/Integrator.kt b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/Integrator.kt new file mode 100644 index 000000000..ebc53ad2e --- /dev/null +++ b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/Integrator.kt @@ -0,0 +1,11 @@ +package space.kscience.kmath.integration + +/** + * A general interface for all integrators + */ +public interface Integrator { + /** + * Run one integration pass and return a new [Integrand] with a new set of features + */ + public fun integrate(integrand: I): I +} \ No newline at end of file diff --git a/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/MultivariateIntegrand.kt b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/MultivariateIntegrand.kt new file mode 100644 index 000000000..4b3a6deb4 --- /dev/null +++ b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/MultivariateIntegrand.kt @@ -0,0 +1,27 @@ +package space.kscience.kmath.integration + +import space.kscience.kmath.linear.Point +import kotlin.reflect.KClass + +public class MultivariateIntegrand internal constructor( + private val features: Map, IntegrandFeature>, + public val function: (Point) -> T, +) : Integrand { + + @Suppress("UNCHECKED_CAST") + override fun getFeature(type: KClass): T? = features[type] as? T + + public operator fun plus(pair: Pair, F>): MultivariateIntegrand = + MultivariateIntegrand(features + pair, function) + + public operator fun plus(feature: F): MultivariateIntegrand = + plus(feature::class to feature) +} + +@Suppress("FunctionName") +public fun MultivariateIntegrand( + vararg features: IntegrandFeature, + function: (Point) -> T, +): MultivariateIntegrand = MultivariateIntegrand(features.associateBy { it::class }, function) + +public val MultivariateIntegrand.value: T? get() = getFeature>()?.value diff --git a/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/UnivariateIntegrand.kt b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/UnivariateIntegrand.kt new file mode 100644 index 000000000..9389318e8 --- /dev/null +++ b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/UnivariateIntegrand.kt @@ -0,0 +1,64 @@ +package space.kscience.kmath.integration + +import space.kscience.kmath.misc.UnstableKMathAPI +import kotlin.reflect.KClass + +public class UnivariateIntegrand internal constructor( + private val features: Map, IntegrandFeature>, + public val function: (T) -> T, +) : Integrand { + + @Suppress("UNCHECKED_CAST") + override fun getFeature(type: KClass): T? = features[type] as? T + + public operator fun plus(pair: Pair, F>): UnivariateIntegrand = + UnivariateIntegrand(features + pair, function) + + public operator fun plus(feature: F): UnivariateIntegrand = + plus(feature::class to feature) +} + +@Suppress("FunctionName") +public fun UnivariateIntegrand( + function: (T) -> T, + vararg features: IntegrandFeature, +): UnivariateIntegrand = UnivariateIntegrand(features.associateBy { it::class }, function) + +public typealias UnivariateIntegrator = Integrator> + +public inline class IntegrationRange>(public val range: ClosedRange) : IntegrandFeature + +public val UnivariateIntegrand.value: T? get() = getFeature>()?.value + +/** + * A shortcut method to integrate a [function] in [range] with additional [features]. + * The [function] is placed in the end position to allow passing a lambda. + */ +@UnstableKMathAPI +public fun UnivariateIntegrator.integrate( + range: ClosedRange, + vararg features: IntegrandFeature, + function: (Double) -> Double, +): Double = integrate( + UnivariateIntegrand(function, IntegrationRange(range), *features) +).value ?: error("Unexpected: no value after integration.") + +/** + * A shortcut method to integrate a [function] in [range] with additional [features]. + * The [function] is placed in the end position to allow passing a lambda. + */ +@UnstableKMathAPI +public fun UnivariateIntegrator.integrate( + range: ClosedRange, + function: (Double) -> Double, + featureBuilder: (MutableList.() -> Unit) = {}, +): Double { + //TODO use dedicated feature builder class instead or add extensions to MutableList + val features = buildList { + featureBuilder() + add(IntegrationRange(range)) + } + return integrate( + UnivariateIntegrand(function, *features.toTypedArray()) + ).value ?: error("Unexpected: no value after integration.") +} \ No newline at end of file diff --git a/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/interpolation/Interpolator.kt b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/interpolation/Interpolator.kt index dc5227f8b..fa978a9bc 100644 --- a/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/interpolation/Interpolator.kt +++ b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/interpolation/Interpolator.kt @@ -24,21 +24,21 @@ public interface PolynomialInterpolator> : Interpolator public fun > PolynomialInterpolator.interpolatePolynomials( x: Buffer, - y: Buffer + y: Buffer, ): PiecewisePolynomial { val pointSet = BufferXYPointSet(x, y) return interpolatePolynomials(pointSet) } public fun > PolynomialInterpolator.interpolatePolynomials( - data: Map + data: Map, ): PiecewisePolynomial { val pointSet = BufferXYPointSet(data.keys.toList().asBuffer(), data.values.toList().asBuffer()) return interpolatePolynomials(pointSet) } public fun > PolynomialInterpolator.interpolatePolynomials( - data: List> + data: List>, ): PiecewisePolynomial { val pointSet = BufferXYPointSet(data.map { it.first }.asBuffer(), data.map { it.second }.asBuffer()) return interpolatePolynomials(pointSet) diff --git a/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/interpolation/XYPointSet.kt b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/interpolation/XYPointSet.kt index c3bcad846..1ff7b6351 100644 --- a/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/interpolation/XYPointSet.kt +++ b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/interpolation/XYPointSet.kt @@ -32,7 +32,7 @@ public class NDStructureColumn(public val structure: Structure2D, public v public class BufferXYPointSet( public override val x: Buffer, - public override val y: Buffer + public override val y: Buffer, ) : XYPointSet { public override val size: Int get() = x.size diff --git a/kmath-functions/src/commonTest/kotlin/space/kscience/kmath/interpolation/LinearInterpolatorTest.kt b/kmath-functions/src/commonTest/kotlin/space/kscience/kmath/interpolation/LinearInterpolatorTest.kt index 0b7b62147..476c035e9 100644 --- a/kmath-functions/src/commonTest/kotlin/space/kscience/kmath/interpolation/LinearInterpolatorTest.kt +++ b/kmath-functions/src/commonTest/kotlin/space/kscience/kmath/interpolation/LinearInterpolatorTest.kt @@ -2,7 +2,7 @@ package space.kscience.kmath.interpolation import space.kscience.kmath.functions.PiecewisePolynomial import space.kscience.kmath.functions.asFunction -import space.kscience.kmath.operations.RealField +import space.kscience.kmath.operations.DoubleField import kotlin.test.Test import kotlin.test.assertEquals @@ -16,8 +16,8 @@ internal class LinearInterpolatorTest { 3.0 to 4.0 ) - val polynomial: PiecewisePolynomial = LinearInterpolator(RealField).interpolatePolynomials(data) - val function = polynomial.asFunction(RealField) + val polynomial: PiecewisePolynomial = LinearInterpolator(DoubleField).interpolatePolynomials(data) + val function = polynomial.asFunction(DoubleField) assertEquals(null, function(-1.0)) assertEquals(0.5, function(0.5)) assertEquals(2.0, function(1.5)) diff --git a/kmath-geometry/build.gradle.kts b/kmath-geometry/build.gradle.kts index e99eee38b..9d1b2d4d6 100644 --- a/kmath-geometry/build.gradle.kts +++ b/kmath-geometry/build.gradle.kts @@ -6,6 +6,6 @@ kotlin.sourceSets.commonMain { } } -readme{ +readme { maturity = ru.mipt.npm.gradle.Maturity.PROTOTYPE } diff --git a/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/Counter.kt b/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/Counter.kt index 5f79fdab8..764ff116c 100644 --- a/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/Counter.kt +++ b/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/Counter.kt @@ -2,8 +2,8 @@ package space.kscience.kmath.histogram import kotlinx.atomicfu.atomic import kotlinx.atomicfu.getAndUpdate +import space.kscience.kmath.operations.DoubleField import space.kscience.kmath.operations.Group -import space.kscience.kmath.operations.RealField /** * Common representation for atomic counters @@ -13,7 +13,7 @@ public interface Counter { public val value: T public companion object { - public fun real(): ObjectCounter = ObjectCounter(RealField) + public fun real(): ObjectCounter = ObjectCounter(DoubleField) } } diff --git a/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/RealHistogramSpace.kt b/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/DoubleHistogramSpace.kt similarity index 88% rename from kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/RealHistogramSpace.kt rename to kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/DoubleHistogramSpace.kt index 3df0b1626..384ce6159 100644 --- a/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/RealHistogramSpace.kt +++ b/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/DoubleHistogramSpace.kt @@ -7,7 +7,7 @@ import space.kscience.kmath.nd.* import space.kscience.kmath.structures.* import kotlin.math.floor -public class RealHistogramSpace( +public class DoubleHistogramSpace( private val lower: Buffer, private val upper: Buffer, private val binNums: IntArray = IntArray(lower.size) { 20 }, @@ -23,13 +23,13 @@ public class RealHistogramSpace( public val dimension: Int get() = lower.size private val shape = IntArray(binNums.size) { binNums[it] + 2 } - override val histogramValueSpace: RealNDField = NDAlgebra.real(*shape) + override val histogramValueSpace: DoubleFieldND = AlgebraND.real(*shape) override val strides: Strides get() = histogramValueSpace.strides - private val binSize = RealBuffer(dimension) { (upper[it] - lower[it]) / binNums[it] } + private val binSize = DoubleBuffer(dimension) { (upper[it] - lower[it]) / binNums[it] } /** - * Get internal [NDStructure] bin index for given axis + * Get internal [StructureND] bin index for given axis */ private fun getIndex(axis: Int, value: Double): Int = when { value >= upper[axis] -> binNums[axis] + 1 // overflow @@ -69,13 +69,13 @@ public class RealHistogramSpace( } override fun produce(builder: HistogramBuilder.() -> Unit): IndexedHistogram { - val ndCounter = NDStructure.auto(strides) { Counter.real() } + val ndCounter = StructureND.auto(strides) { Counter.real() } val hBuilder = HistogramBuilder { point, value -> val index = getIndex(point) ndCounter[index].add(value.toDouble()) } hBuilder.apply(builder) - val values: NDBuffer = ndCounter.mapToBuffer { it.value } + val values: BufferND = ndCounter.mapToBuffer { it.value } return IndexedHistogram(this, values) } @@ -91,7 +91,7 @@ public class RealHistogramSpace( *) *``` */ - public fun fromRanges(vararg ranges: ClosedFloatingPointRange): RealHistogramSpace = RealHistogramSpace( + public fun fromRanges(vararg ranges: ClosedFloatingPointRange): DoubleHistogramSpace = DoubleHistogramSpace( ranges.map(ClosedFloatingPointRange::start).asBuffer(), ranges.map(ClosedFloatingPointRange::endInclusive).asBuffer() ) @@ -105,8 +105,8 @@ public class RealHistogramSpace( *) *``` */ - public fun fromRanges(vararg ranges: Pair, Int>): RealHistogramSpace = - RealHistogramSpace( + public fun fromRanges(vararg ranges: Pair, Int>): DoubleHistogramSpace = + DoubleHistogramSpace( ListBuffer( ranges .map(Pair, Int>::first) 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..d680a9ad0 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.DoubleBuffer +import space.kscience.kmath.structures.asBuffer /** * The binned data element. Could be a histogram bin with a number of counts or an artificial construct @@ -29,7 +29,7 @@ public interface Histogram> { public val bins: Iterable } -public fun interface HistogramBuilder { +public fun interface HistogramBuilder { /** * Increment appropriate bin @@ -40,12 +40,12 @@ 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())) + put(DoubleBuffer(point.map { it.toDouble() }.toDoubleArray())) -public fun HistogramBuilder.put(vararg point: Double): Unit = put(RealBuffer(point)) +public fun HistogramBuilder.put(vararg point: Double): Unit = put(DoubleBuffer(point)) public fun HistogramBuilder.fill(sequence: Iterable>): Unit = sequence.forEach { put(it) } /** diff --git a/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/IndexedHistogramSpace.kt b/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/IndexedHistogramSpace.kt index 19128b2ac..f55080b09 100644 --- a/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/IndexedHistogramSpace.kt +++ b/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/IndexedHistogramSpace.kt @@ -3,9 +3,9 @@ package space.kscience.kmath.histogram import space.kscience.kmath.domains.Domain import space.kscience.kmath.linear.Point import space.kscience.kmath.misc.UnstableKMathAPI -import space.kscience.kmath.nd.NDField -import space.kscience.kmath.nd.NDStructure +import space.kscience.kmath.nd.FieldND import space.kscience.kmath.nd.Strides +import space.kscience.kmath.nd.StructureND import space.kscience.kmath.operations.Group import space.kscience.kmath.operations.ScaleOperations import space.kscience.kmath.operations.SpaceElement @@ -22,7 +22,7 @@ public data class DomainBin>( @OptIn(UnstableKMathAPI::class) public class IndexedHistogram, V : Any>( override val context: IndexedHistogramSpace, - public val values: NDStructure, + public val values: StructureND, ) : Histogram>, SpaceElement, IndexedHistogramSpace> { override fun get(point: Point): Bin? { @@ -46,7 +46,7 @@ public interface IndexedHistogramSpace, V : Any> : Group>, ScaleOperations> { //public val valueSpace: Space public val strides: Strides - public val histogramValueSpace: NDField //= NDAlgebra.space(valueSpace, Buffer.Companion::boxing, *shape), + public val histogramValueSpace: FieldND //= NDAlgebra.space(valueSpace, Buffer.Companion::boxing, *shape), /** * Resolve index of the bin including given [point] diff --git a/kmath-histograms/src/commonTest/kotlin/space/kscience/kmath/histogram/MultivariateHistogramTest.kt b/kmath-histograms/src/commonTest/kotlin/space/kscience/kmath/histogram/MultivariateHistogramTest.kt index e83f42b4b..feb87a7a7 100644 --- a/kmath-histograms/src/commonTest/kotlin/space/kscience/kmath/histogram/MultivariateHistogramTest.kt +++ b/kmath-histograms/src/commonTest/kotlin/space/kscience/kmath/histogram/MultivariateHistogramTest.kt @@ -1,15 +1,14 @@ package space.kscience.kmath.histogram import space.kscience.kmath.operations.invoke -import space.kscience.kmath.real.RealVector -import space.kscience.kmath.real.invoke +import space.kscience.kmath.real.DoubleVector import kotlin.random.Random import kotlin.test.* internal class MultivariateHistogramTest { @Test fun testSinglePutHistogram() { - val hSpace = RealHistogramSpace.fromRanges( + val hSpace = DoubleHistogramSpace.fromRanges( (-1.0..1.0), (-1.0..1.0) ) @@ -17,14 +16,14 @@ internal class MultivariateHistogramTest { put(0.55, 0.55) } val bin = histogram.bins.find { it.value.toInt() > 0 } ?: fail() - assertTrue { bin.contains(RealVector(0.55, 0.55)) } - assertTrue { bin.contains(RealVector(0.6, 0.5)) } - assertFalse { bin.contains(RealVector(-0.55, 0.55)) } + assertTrue { bin.contains(DoubleVector(0.55, 0.55)) } + assertTrue { bin.contains(DoubleVector(0.6, 0.5)) } + assertFalse { bin.contains(DoubleVector(-0.55, 0.55)) } } @Test fun testSequentialPut() { - val hSpace = RealHistogramSpace.fromRanges( + val hSpace = DoubleHistogramSpace.fromRanges( (-1.0..1.0), (-1.0..1.0), (-1.0..1.0) @@ -44,7 +43,7 @@ internal class MultivariateHistogramTest { @Test fun testHistogramAlgebra() { - RealHistogramSpace.fromRanges( + DoubleHistogramSpace.fromRanges( (-1.0..1.0), (-1.0..1.0), (-1.0..1.0) diff --git a/kmath-histograms/src/jvmMain/kotlin/space/kscience/kmath/histogram/UnivariateHistogram.kt b/kmath-histograms/src/jvmMain/kotlin/space/kscience/kmath/histogram/UnivariateHistogram.kt index 03bd096d9..b1b2a10c2 100644 --- a/kmath-histograms/src/jvmMain/kotlin/space/kscience/kmath/histogram/UnivariateHistogram.kt +++ b/kmath-histograms/src/jvmMain/kotlin/space/kscience/kmath/histogram/UnivariateHistogram.kt @@ -9,7 +9,8 @@ import space.kscience.kmath.structures.asSequence @UnstableKMathAPI -public val UnivariateDomain.center: Double get() = (range.endInclusive - range.start) / 2 +public val UnivariateDomain.center: Double + get() = (range.endInclusive - range.start) / 2 /** * A univariate bin based an a range diff --git a/kmath-kotlingrad/build.gradle.kts b/kmath-kotlingrad/build.gradle.kts index 51292cbfb..a7c0c7e01 100644 --- a/kmath-kotlingrad/build.gradle.kts +++ b/kmath-kotlingrad/build.gradle.kts @@ -8,6 +8,6 @@ dependencies { api(project(":kmath-ast")) } -readme{ +readme { maturity = ru.mipt.npm.gradle.Maturity.PROTOTYPE } \ No newline at end of file diff --git a/kmath-kotlingrad/src/test/kotlin/space/kscience/kmath/kotlingrad/AdaptingTests.kt b/kmath-kotlingrad/src/test/kotlin/space/kscience/kmath/kotlingrad/AdaptingTests.kt index ffdabaffb..7cd3276b8 100644 --- a/kmath-kotlingrad/src/test/kotlin/space/kscience/kmath/kotlingrad/AdaptingTests.kt +++ b/kmath-kotlingrad/src/test/kotlin/space/kscience/kmath/kotlingrad/AdaptingTests.kt @@ -6,7 +6,7 @@ import space.kscience.kmath.ast.MstAlgebra import space.kscience.kmath.ast.MstExpression import space.kscience.kmath.ast.parseMath import space.kscience.kmath.expressions.invoke -import space.kscience.kmath.operations.RealField +import space.kscience.kmath.operations.DoubleField import kotlin.test.Test import kotlin.test.assertEquals import kotlin.test.assertTrue @@ -16,8 +16,8 @@ internal class AdaptingTests { @Test fun symbol() { val c1 = MstAlgebra.bindSymbol("x") - assertTrue(c1.toSVar>().name == "x") - val c2 = "kitten".parseMath().toSFun>() + assertTrue(c1.toSVar>().name == "x") + val c2 = "kitten".parseMath().toSFun>() if (c2 is SVar) assertTrue(c2.name == "kitten") else fail() } @@ -25,15 +25,15 @@ internal class AdaptingTests { fun number() { val c1 = MstAlgebra.number(12354324) assertTrue(c1.toSConst().doubleValue == 12354324.0) - val c2 = "0.234".parseMath().toSFun>() + val c2 = "0.234".parseMath().toSFun>() if (c2 is SConst) assertTrue(c2.doubleValue == 0.234) else fail() - val c3 = "1e-3".parseMath().toSFun>() + val c3 = "1e-3".parseMath().toSFun>() if (c3 is SConst) assertEquals(0.001, c3.value) else fail() } @Test fun simpleFunctionShape() { - val linear = "2*x+16".parseMath().toSFun>() + val linear = "2*x+16".parseMath().toSFun>() if (linear !is Sum) fail() if (linear.left !is Prod) fail() if (linear.right !is SConst) fail() @@ -41,21 +41,21 @@ internal class AdaptingTests { @Test fun simpleFunctionDerivative() { - val x = MstAlgebra.bindSymbol("x").toSVar>() - val quadratic = "x^2-4*x-44".parseMath().toSFun>() - val actualDerivative = MstExpression(RealField, quadratic.d(x).toMst()).compile() - val expectedDerivative = MstExpression(RealField, "2*x-4".parseMath()).compile() + val x = MstAlgebra.bindSymbol("x").toSVar>() + val quadratic = "x^2-4*x-44".parseMath().toSFun>() + val actualDerivative = MstExpression(DoubleField, quadratic.d(x).toMst()).compile() + val expectedDerivative = MstExpression(DoubleField, "2*x-4".parseMath()).compile() assertEquals(actualDerivative("x" to 123.0), expectedDerivative("x" to 123.0)) } @Test fun moreComplexDerivative() { - val x = MstAlgebra.bindSymbol("x").toSVar>() - val composition = "-sqrt(sin(x^2)-cos(x)^2-16*x)".parseMath().toSFun>() - val actualDerivative = MstExpression(RealField, composition.d(x).toMst()).compile() + val x = MstAlgebra.bindSymbol("x").toSVar>() + val composition = "-sqrt(sin(x^2)-cos(x)^2-16*x)".parseMath().toSFun>() + val actualDerivative = MstExpression(DoubleField, composition.d(x).toMst()).compile() val expectedDerivative = MstExpression( - RealField, + DoubleField, "-(2*x*cos(x^2)+2*sin(x)*cos(x)-16)/(2*sqrt(sin(x^2)-16*x-cos(x)^2))".parseMath() ).compile() diff --git a/kmath-memory/build.gradle.kts b/kmath-memory/build.gradle.kts index dbd68b042..1ccd1bed8 100644 --- a/kmath-memory/build.gradle.kts +++ b/kmath-memory/build.gradle.kts @@ -3,7 +3,7 @@ plugins { id("ru.mipt.npm.gradle.native") } -readme{ +readme { description = """ An API and basic implementation for arranging objects in a continous memory block. """.trimIndent() diff --git a/kmath-memory/src/commonMain/kotlin/space/kscience/kmath/memory/MemorySpec.kt b/kmath-memory/src/commonMain/kotlin/space/kscience/kmath/memory/MemorySpec.kt index 7c68e3abb..5ed3c3c9e 100644 --- a/kmath-memory/src/commonMain/kotlin/space/kscience/kmath/memory/MemorySpec.kt +++ b/kmath-memory/src/commonMain/kotlin/space/kscience/kmath/memory/MemorySpec.kt @@ -32,7 +32,8 @@ public fun MemoryReader.read(spec: MemorySpec, offset: Int): T = wi /** * Writes the object [value] with [spec] starting from [offset]. */ -public fun MemoryWriter.write(spec: MemorySpec, offset: Int, value: T): Unit = with(spec) { write(offset, value) } +public fun MemoryWriter.write(spec: MemorySpec, offset: Int, value: T): Unit = + with(spec) { write(offset, value) } /** * Reads array of [size] objects mapped by [spec] at certain [offset]. diff --git a/kmath-memory/src/jvmMain/kotlin/space/kscience/kmath/memory/ByteBufferMemory.kt b/kmath-memory/src/jvmMain/kotlin/space/kscience/kmath/memory/ByteBufferMemory.kt index 5145b1ed4..fe15cce49 100644 --- a/kmath-memory/src/jvmMain/kotlin/space/kscience/kmath/memory/ByteBufferMemory.kt +++ b/kmath-memory/src/jvmMain/kotlin/space/kscience/kmath/memory/ByteBufferMemory.kt @@ -13,7 +13,7 @@ import kotlin.contracts.contract internal class ByteBufferMemory( val buffer: ByteBuffer, val startOffset: Int = 0, - override val size: Int = buffer.limit() + override val size: Int = buffer.limit(), ) : Memory { @Suppress("NOTHING_TO_INLINE") private inline fun position(o: Int): Int = startOffset + o @@ -100,7 +100,8 @@ public actual fun Memory.Companion.allocate(length: Int): Memory = * Wraps a [Memory] around existing [ByteArray]. This operation is unsafe since the array is not copied * and could be mutated independently from the resulting [Memory]. */ -public actual fun Memory.Companion.wrap(array: ByteArray): Memory = ByteBufferMemory(checkNotNull(ByteBuffer.wrap(array))) +public actual fun Memory.Companion.wrap(array: ByteArray): Memory = + ByteBufferMemory(checkNotNull(ByteBuffer.wrap(array))) /** * Wraps this [ByteBuffer] to [Memory] object. diff --git a/kmath-memory/src/nativeMain/kotlin/space/kscience/kmath/memory/NativeMemory.kt b/kmath-memory/src/nativeMain/kotlin/space/kscience/kmath/memory/NativeMemory.kt index 3afb6c7a2..1274959ad 100644 --- a/kmath-memory/src/nativeMain/kotlin/space/kscience/kmath/memory/NativeMemory.kt +++ b/kmath-memory/src/nativeMain/kotlin/space/kscience/kmath/memory/NativeMemory.kt @@ -4,7 +4,7 @@ package space.kscience.kmath.memory internal class NativeMemory( val array: ByteArray, val startOffset: Int = 0, - override val size: Int = array.size + override val size: Int = array.size, ) : Memory { @Suppress("NOTHING_TO_INLINE") private inline fun position(o: Int): Int = startOffset + o diff --git a/kmath-nd4j/README.md b/kmath-nd4j/README.md index 046c8127f..2771722eb 100644 --- a/kmath-nd4j/README.md +++ b/kmath-nd4j/README.md @@ -2,14 +2,14 @@ This subproject implements the following features: - - [nd4jarraystructure](src/commonMain/kotlin/kscience/kmath/operations/Algebra.kt) : NDStructure wrapper for INDArray - - [nd4jarrayrings](src/commonMain/kotlin/kscience/kmath/structures/NDStructure.kt) : Rings over Nd4jArrayStructure of Int and Long - - [nd4jarrayfields](src/commonMain/kotlin/kscience/kmath/structures/Buffers.kt) : Fields over Nd4jArrayStructure of Float and Double + - [nd4jarraystructure](#) : NDStructure wrapper for INDArray + - [nd4jarrayrings](#) : Rings over Nd4jArrayStructure of Int and Long + - [nd4jarrayfields](#) : Fields over Nd4jArrayStructure of Float and Double > #### Artifact: > -> This module artifact: `space.kscience:kmath-nd4j:0.2.0`. +> This module artifact: `space.kscience:kmath-nd4j:0.3.0-dev-3`. > > 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) > @@ -22,13 +22,10 @@ This subproject implements the following features: > 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-nd4j:0.2.0' +> implementation 'space.kscience:kmath-nd4j:0.3.0-dev-3' > } > ``` > **Gradle Kotlin DSL:** @@ -38,13 +35,10 @@ This subproject implements the following features: > 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-nd4j:0.2.0") +> implementation("space.kscience:kmath-nd4j:0.3.0-dev-3") > } > ``` @@ -57,7 +51,7 @@ import org.nd4j.linalg.factory.* import scientifik.kmath.nd4j.* import scientifik.kmath.structures.* -val array = Nd4j.ones(2, 2).asRealStructure() +val array = Nd4j.ones(2, 2).asDoubleStructure() println(array[0, 0]) // 1.0 array[intArrayOf(0, 0)] = 24.0 println(array[0, 0]) // 24.0 @@ -70,8 +64,8 @@ import org.nd4j.linalg.factory.* import scientifik.kmath.nd4j.* import scientifik.kmath.operations.* -val field = RealNd4jArrayField(intArrayOf(2, 2)) -val array = Nd4j.rand(2, 2).asRealStructure() +val field = DoubleNd4jArrayField(intArrayOf(2, 2)) +val array = Nd4j.rand(2, 2).asDoubleStructure() val res = field { (25.0 / array + 20) * 4 diff --git a/kmath-nd4j/build.gradle.kts b/kmath-nd4j/build.gradle.kts index c801f8e51..2954a1e65 100644 --- a/kmath-nd4j/build.gradle.kts +++ b/kmath-nd4j/build.gradle.kts @@ -19,19 +19,16 @@ readme { feature( id = "nd4jarraystructure", - description = "NDStructure wrapper for INDArray", - ref = "src/commonMain/kotlin/kscience/kmath/operations/Algebra.kt" + description = "NDStructure wrapper for INDArray" ) feature( id = "nd4jarrayrings", - description = "Rings over Nd4jArrayStructure of Int and Long", - ref = "src/commonMain/kotlin/kscience/kmath/structures/NDStructure.kt" + description = "Rings over Nd4jArrayStructure of Int and Long" ) feature( id = "nd4jarrayfields", - description = "Fields over Nd4jArrayStructure of Float and Double", - ref = "src/commonMain/kotlin/kscience/kmath/structures/Buffers.kt" + description = "Fields over Nd4jArrayStructure of Float and Double" ) } diff --git a/kmath-nd4j/docs/README-TEMPLATE.md b/kmath-nd4j/docs/README-TEMPLATE.md index 76ce8c9a7..9783e74be 100644 --- a/kmath-nd4j/docs/README-TEMPLATE.md +++ b/kmath-nd4j/docs/README-TEMPLATE.md @@ -15,7 +15,7 @@ import org.nd4j.linalg.factory.* import scientifik.kmath.nd4j.* import scientifik.kmath.structures.* -val array = Nd4j.ones(2, 2).asRealStructure() +val array = Nd4j.ones(2, 2).asDoubleStructure() println(array[0, 0]) // 1.0 array[intArrayOf(0, 0)] = 24.0 println(array[0, 0]) // 24.0 @@ -28,8 +28,8 @@ import org.nd4j.linalg.factory.* import scientifik.kmath.nd4j.* import scientifik.kmath.operations.* -val field = RealNd4jArrayField(intArrayOf(2, 2)) -val array = Nd4j.rand(2, 2).asRealStructure() +val field = DoubleNd4jArrayField(intArrayOf(2, 2)) +val array = Nd4j.rand(2, 2).asDoubleStructure() val res = field { (25.0 / array + 20) * 4 diff --git a/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jArrayAlgebra.kt b/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jArrayAlgebra.kt index d8ce1052a..8ea992bcb 100644 --- a/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jArrayAlgebra.kt +++ b/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jArrayAlgebra.kt @@ -7,7 +7,7 @@ import space.kscience.kmath.nd.* import space.kscience.kmath.operations.* import space.kscience.kmath.structures.* -internal fun NDAlgebra<*, *>.checkShape(array: INDArray): INDArray { +internal fun AlgebraND<*, *>.checkShape(array: INDArray): INDArray { val arrayShape = array.shape().toIntArray() if (!shape.contentEquals(arrayShape)) throw ShapeMismatchException(shape, arrayShape) return array @@ -15,18 +15,18 @@ internal fun NDAlgebra<*, *>.checkShape(array: INDArray): INDArray { /** - * Represents [NDAlgebra] over [Nd4jArrayAlgebra]. + * Represents [AlgebraND] over [Nd4jArrayAlgebra]. * * @param T the type of ND-structure element. * @param C the type of the element context. */ -public interface Nd4jArrayAlgebra> : NDAlgebra { +public interface Nd4jArrayAlgebra> : AlgebraND { /** * Wraps [INDArray] to [N]. */ public fun INDArray.wrap(): Nd4jArrayStructure - public val NDStructure.ndArray: INDArray + public val StructureND.ndArray: INDArray get() = when { !shape.contentEquals(this@Nd4jArrayAlgebra.shape) -> throw ShapeMismatchException( this@Nd4jArrayAlgebra.shape, @@ -44,13 +44,13 @@ public interface Nd4jArrayAlgebra> : NDAlgebra { return struct } - public override fun NDStructure.map(transform: C.(T) -> T): Nd4jArrayStructure { + public override fun StructureND.map(transform: C.(T) -> T): Nd4jArrayStructure { val newStruct = ndArray.dup().wrap() newStruct.elements().forEach { (idx, value) -> newStruct[idx] = elementContext.transform(value) } return newStruct } - public override fun NDStructure.mapIndexed( + public override fun StructureND.mapIndexed( transform: C.(index: IntArray, T) -> T, ): Nd4jArrayStructure { val new = Nd4j.create(*this@Nd4jArrayAlgebra.shape).wrap() @@ -59,8 +59,8 @@ public interface Nd4jArrayAlgebra> : NDAlgebra { } public override fun combine( - a: NDStructure, - b: NDStructure, + a: StructureND, + b: StructureND, transform: C.(T, T) -> T, ): Nd4jArrayStructure { val new = Nd4j.create(*shape).wrap() @@ -70,42 +70,42 @@ public interface Nd4jArrayAlgebra> : NDAlgebra { } /** - * Represents [NDGroup] over [Nd4jArrayStructure]. + * Represents [GroupND] over [Nd4jArrayStructure]. * * @param T the type of the element contained in ND structure. * @param S the type of space of structure elements. */ -public interface Nd4JArrayGroup> : NDGroup, Nd4jArrayAlgebra { +public interface Nd4JArrayGroup> : GroupND, Nd4jArrayAlgebra { public override val zero: Nd4jArrayStructure get() = Nd4j.zeros(*shape).wrap() - public override fun add(a: NDStructure, b: NDStructure): Nd4jArrayStructure = + public override fun add(a: StructureND, b: StructureND): Nd4jArrayStructure = a.ndArray.add(b.ndArray).wrap() - public override operator fun NDStructure.minus(b: NDStructure): Nd4jArrayStructure = + public override operator fun StructureND.minus(b: StructureND): Nd4jArrayStructure = ndArray.sub(b.ndArray).wrap() - public override operator fun NDStructure.unaryMinus(): Nd4jArrayStructure = + public override operator fun StructureND.unaryMinus(): Nd4jArrayStructure = ndArray.neg().wrap() - public fun multiply(a: NDStructure, k: Number): Nd4jArrayStructure = + public fun multiply(a: StructureND, k: Number): Nd4jArrayStructure = a.ndArray.mul(k).wrap() } /** - * Represents [NDRing] over [Nd4jArrayStructure]. + * Represents [RingND] over [Nd4jArrayStructure]. * * @param T the type of the element contained in ND structure. * @param R the type of ring of structure elements. */ @OptIn(UnstableKMathAPI::class) -public interface Nd4jArrayRing> : NDRing, Nd4JArrayGroup { +public interface Nd4jArrayRing> : RingND, Nd4JArrayGroup { public override val one: Nd4jArrayStructure get() = Nd4j.ones(*shape).wrap() - public override fun multiply(a: NDStructure, b: NDStructure): Nd4jArrayStructure = + public override fun multiply(a: StructureND, b: StructureND): Nd4jArrayStructure = a.ndArray.mul(b.ndArray).wrap() // // public override operator fun Nd4jArrayStructure.minus(b: Number): Nd4jArrayStructure { @@ -131,19 +131,19 @@ public interface Nd4jArrayRing> : NDRing, Nd4JArrayGroup = intNd4jArrayRingCache.get().getOrPut(shape) { IntNd4jArrayRing(shape) } /** - * Creates an [NDRing] for [Long] values or pull it from cache if it was created previously. + * Creates an [RingND] for [Long] values or pull it from cache if it was created previously. */ public fun long(vararg shape: Int): Nd4jArrayRing = longNd4jArrayRingCache.get().getOrPut(shape) { LongNd4jArrayRing(shape) } /** - * Creates a most suitable implementation of [NDRing] using reified class. + * Creates a most suitable implementation of [RingND] using reified class. */ @Suppress("UNCHECKED_CAST") public inline fun auto(vararg shape: Int): Nd4jArrayRing> = when { @@ -155,40 +155,40 @@ public interface Nd4jArrayRing> : NDRing, Nd4JArrayGroup> : NDField, Nd4jArrayRing { +public interface Nd4jArrayField> : FieldND, Nd4jArrayRing { - public override fun divide(a: NDStructure, b: NDStructure): Nd4jArrayStructure = + public override fun divide(a: StructureND, b: StructureND): Nd4jArrayStructure = a.ndArray.div(b.ndArray).wrap() - public operator fun Number.div(b: NDStructure): Nd4jArrayStructure = b.ndArray.rdiv(this).wrap() + public operator fun Number.div(b: StructureND): Nd4jArrayStructure = b.ndArray.rdiv(this).wrap() public companion object { private val floatNd4jArrayFieldCache: ThreadLocal> = ThreadLocal.withInitial { hashMapOf() } - private val realNd4jArrayFieldCache: ThreadLocal> = + private val doubleNd4JArrayFieldCache: ThreadLocal> = ThreadLocal.withInitial { hashMapOf() } /** - * Creates an [NDField] for [Float] values or pull it from cache if it was created previously. + * Creates an [FieldND] for [Float] values or pull it from cache if it was created previously. */ public fun float(vararg shape: Int): Nd4jArrayRing = floatNd4jArrayFieldCache.get().getOrPut(shape) { FloatNd4jArrayField(shape) } /** - * Creates an [NDField] for [Double] values or pull it from cache if it was created previously. + * Creates an [FieldND] for [Double] values or pull it from cache if it was created previously. */ - public fun real(vararg shape: Int): Nd4jArrayRing = - realNd4jArrayFieldCache.get().getOrPut(shape) { RealNd4jArrayField(shape) } + public fun real(vararg shape: Int): Nd4jArrayRing = + doubleNd4JArrayFieldCache.get().getOrPut(shape) { DoubleNd4jArrayField(shape) } /** - * Creates a most suitable implementation of [NDRing] using reified class. + * Creates a most suitable implementation of [RingND] using reified class. */ @Suppress("UNCHECKED_CAST") public inline fun auto(vararg shape: Int): Nd4jArrayField> = when { @@ -200,44 +200,44 @@ public interface Nd4jArrayField> : NDField, Nd4jArrayRing< } /** - * Represents [NDField] over [Nd4jArrayRealStructure]. + * Represents [FieldND] over [Nd4jArrayDoubleStructure]. */ -public class RealNd4jArrayField(public override val shape: IntArray) : Nd4jArrayField { - public override val elementContext: RealField get() = RealField +public class DoubleNd4jArrayField(public override val shape: IntArray) : Nd4jArrayField { + public override val elementContext: DoubleField get() = DoubleField - public override fun INDArray.wrap(): Nd4jArrayStructure = checkShape(this).asRealStructure() + public override fun INDArray.wrap(): Nd4jArrayStructure = checkShape(this).asDoubleStructure() - override fun scale(a: NDStructure, value: Double): Nd4jArrayStructure { + override fun scale(a: StructureND, value: Double): Nd4jArrayStructure { return a.ndArray.mul(value).wrap() } - public override operator fun NDStructure.div(arg: Double): Nd4jArrayStructure { + public override operator fun StructureND.div(arg: Double): Nd4jArrayStructure { return ndArray.div(arg).wrap() } - public override operator fun NDStructure.plus(arg: Double): Nd4jArrayStructure { + public override operator fun StructureND.plus(arg: Double): Nd4jArrayStructure { return ndArray.add(arg).wrap() } - public override operator fun NDStructure.minus(arg: Double): Nd4jArrayStructure { + public override operator fun StructureND.minus(arg: Double): Nd4jArrayStructure { return ndArray.sub(arg).wrap() } - public override operator fun NDStructure.times(arg: Double): Nd4jArrayStructure { + public override operator fun StructureND.times(arg: Double): Nd4jArrayStructure { return ndArray.mul(arg).wrap() } - public override operator fun Double.div(arg: NDStructure): Nd4jArrayStructure { + public override operator fun Double.div(arg: StructureND): Nd4jArrayStructure { return arg.ndArray.rdiv(this).wrap() } - public override operator fun Double.minus(arg: NDStructure): Nd4jArrayStructure { + public override operator fun Double.minus(arg: StructureND): Nd4jArrayStructure { return arg.ndArray.rsub(this).wrap() } } /** - * Represents [NDField] over [Nd4jArrayStructure] of [Float]. + * Represents [FieldND] over [Nd4jArrayStructure] of [Float]. */ public class FloatNd4jArrayField(public override val shape: IntArray) : Nd4jArrayField { public override val elementContext: FloatField @@ -245,30 +245,30 @@ public class FloatNd4jArrayField(public override val shape: IntArray) : Nd4jArra public override fun INDArray.wrap(): Nd4jArrayStructure = checkShape(this).asFloatStructure() - override fun scale(a: NDStructure, value: Double): NDStructure = + override fun scale(a: StructureND, value: Double): StructureND = a.ndArray.mul(value).wrap() - public override operator fun NDStructure.div(arg: Float): Nd4jArrayStructure = + public override operator fun StructureND.div(arg: Float): Nd4jArrayStructure = ndArray.div(arg).wrap() - public override operator fun NDStructure.plus(arg: Float): Nd4jArrayStructure = + public override operator fun StructureND.plus(arg: Float): Nd4jArrayStructure = ndArray.add(arg).wrap() - public override operator fun NDStructure.minus(arg: Float): Nd4jArrayStructure = + public override operator fun StructureND.minus(arg: Float): Nd4jArrayStructure = ndArray.sub(arg).wrap() - public override operator fun NDStructure.times(arg: Float): Nd4jArrayStructure = + public override operator fun StructureND.times(arg: Float): Nd4jArrayStructure = ndArray.mul(arg).wrap() - public override operator fun Float.div(arg: NDStructure): Nd4jArrayStructure = + public override operator fun Float.div(arg: StructureND): Nd4jArrayStructure = arg.ndArray.rdiv(this).wrap() - public override operator fun Float.minus(arg: NDStructure): Nd4jArrayStructure = + public override operator fun Float.minus(arg: StructureND): Nd4jArrayStructure = arg.ndArray.rsub(this).wrap() } /** - * Represents [NDRing] over [Nd4jArrayIntStructure]. + * Represents [RingND] over [Nd4jArrayIntStructure]. */ public class IntNd4jArrayRing(public override val shape: IntArray) : Nd4jArrayRing { public override val elementContext: IntRing @@ -276,21 +276,21 @@ public class IntNd4jArrayRing(public override val shape: IntArray) : Nd4jArrayRi public override fun INDArray.wrap(): Nd4jArrayStructure = checkShape(this).asIntStructure() - public override operator fun NDStructure.plus(arg: Int): Nd4jArrayStructure = + public override operator fun StructureND.plus(arg: Int): Nd4jArrayStructure = ndArray.add(arg).wrap() - public override operator fun NDStructure.minus(arg: Int): Nd4jArrayStructure = + public override operator fun StructureND.minus(arg: Int): Nd4jArrayStructure = ndArray.sub(arg).wrap() - public override operator fun NDStructure.times(arg: Int): Nd4jArrayStructure = + public override operator fun StructureND.times(arg: Int): Nd4jArrayStructure = ndArray.mul(arg).wrap() - public override operator fun Int.minus(arg: NDStructure): Nd4jArrayStructure = + public override operator fun Int.minus(arg: StructureND): Nd4jArrayStructure = arg.ndArray.rsub(this).wrap() } /** - * Represents [NDRing] over [Nd4jArrayStructure] of [Long]. + * Represents [RingND] over [Nd4jArrayStructure] of [Long]. */ public class LongNd4jArrayRing(public override val shape: IntArray) : Nd4jArrayRing { public override val elementContext: LongRing @@ -298,15 +298,15 @@ public class LongNd4jArrayRing(public override val shape: IntArray) : Nd4jArrayR public override fun INDArray.wrap(): Nd4jArrayStructure = checkShape(this).asLongStructure() - public override operator fun NDStructure.plus(arg: Long): Nd4jArrayStructure = + public override operator fun StructureND.plus(arg: Long): Nd4jArrayStructure = ndArray.add(arg).wrap() - public override operator fun NDStructure.minus(arg: Long): Nd4jArrayStructure = + public override operator fun StructureND.minus(arg: Long): Nd4jArrayStructure = ndArray.sub(arg).wrap() - public override operator fun NDStructure.times(arg: Long): Nd4jArrayStructure = + public override operator fun StructureND.times(arg: Long): Nd4jArrayStructure = ndArray.mul(arg).wrap() - public override operator fun Long.minus(arg: NDStructure): Nd4jArrayStructure = + public override operator fun Long.minus(arg: StructureND): Nd4jArrayStructure = arg.ndArray.rsub(this).wrap() } diff --git a/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jArrayIterator.kt b/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jArrayIterator.kt index 521c8cab3..cfb900277 100644 --- a/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jArrayIterator.kt +++ b/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jArrayIterator.kt @@ -37,11 +37,11 @@ private sealed class Nd4jArrayIteratorBase(protected val iterateOver: INDArra } } -private class Nd4jArrayRealIterator(iterateOver: INDArray) : Nd4jArrayIteratorBase(iterateOver) { +private class Nd4jArrayDoubleIterator(iterateOver: INDArray) : Nd4jArrayIteratorBase(iterateOver) { override fun getSingle(indices: LongArray): Double = iterateOver.getDouble(*indices) } -internal fun INDArray.realIterator(): Iterator> = Nd4jArrayRealIterator(this) +internal fun INDArray.realIterator(): Iterator> = Nd4jArrayDoubleIterator(this) private class Nd4jArrayLongIterator(iterateOver: INDArray) : Nd4jArrayIteratorBase(iterateOver) { override fun getSingle(indices: LongArray) = iterateOver.getLong(*indices) diff --git a/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jArrayStructure.kt b/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jArrayStructure.kt index 415c908a8..6a3ae37a7 100644 --- a/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jArrayStructure.kt +++ b/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jArrayStructure.kt @@ -1,15 +1,15 @@ package space.kscience.kmath.nd4j import org.nd4j.linalg.api.ndarray.INDArray -import space.kscience.kmath.nd.MutableNDStructure -import space.kscience.kmath.nd.NDStructure +import space.kscience.kmath.nd.MutableStructureND +import space.kscience.kmath.nd.StructureND /** - * Represents a [NDStructure] wrapping an [INDArray] object. + * Represents a [StructureND] wrapping an [INDArray] object. * * @param T the type of items. */ -public sealed class Nd4jArrayStructure : MutableNDStructure { +public sealed class Nd4jArrayStructure : MutableStructureND { /** * The wrapped [INDArray]. */ @@ -45,7 +45,7 @@ private data class Nd4jArrayLongStructure(override val ndArray: INDArray) : Nd4j */ public fun INDArray.asLongStructure(): Nd4jArrayStructure = Nd4jArrayLongStructure(this) -private data class Nd4jArrayRealStructure(override val ndArray: INDArray) : Nd4jArrayStructure() { +private data class Nd4jArrayDoubleStructure(override val ndArray: INDArray) : Nd4jArrayStructure() { override fun elementsIterator(): Iterator> = ndArray.realIterator() override fun get(index: IntArray): Double = ndArray.getDouble(*index) override fun set(index: IntArray, value: Double): Unit = run { ndArray.putScalar(index, value) } @@ -54,7 +54,7 @@ private data class Nd4jArrayRealStructure(override val ndArray: INDArray) : Nd4j /** * Wraps this [INDArray] to [Nd4jArrayStructure]. */ -public fun INDArray.asRealStructure(): Nd4jArrayStructure = Nd4jArrayRealStructure(this) +public fun INDArray.asDoubleStructure(): Nd4jArrayStructure = Nd4jArrayDoubleStructure(this) private data class Nd4jArrayFloatStructure(override val ndArray: INDArray) : Nd4jArrayStructure() { override fun elementsIterator(): Iterator> = ndArray.floatIterator() diff --git a/kmath-nd4j/src/test/kotlin/space/kscience/kmath/nd4j/Nd4jArrayAlgebraTest.kt b/kmath-nd4j/src/test/kotlin/space/kscience/kmath/nd4j/Nd4jArrayAlgebraTest.kt index 9a067aa29..e658275f5 100644 --- a/kmath-nd4j/src/test/kotlin/space/kscience/kmath/nd4j/Nd4jArrayAlgebraTest.kt +++ b/kmath-nd4j/src/test/kotlin/space/kscience/kmath/nd4j/Nd4jArrayAlgebraTest.kt @@ -8,8 +8,8 @@ import kotlin.test.fail internal class Nd4jArrayAlgebraTest { @Test fun testProduce() { - val res = with(RealNd4jArrayField(intArrayOf(2, 2))){ produce { it.sum().toDouble() } } - val expected = (Nd4j.create(2, 2) ?: fail()).asRealStructure() + val res = with(DoubleNd4jArrayField(intArrayOf(2, 2))) { produce { it.sum().toDouble() } } + val expected = (Nd4j.create(2, 2) ?: fail()).asDoubleStructure() expected[intArrayOf(0, 0)] = 0.0 expected[intArrayOf(0, 1)] = 1.0 expected[intArrayOf(1, 0)] = 1.0 diff --git a/kmath-nd4j/src/test/kotlin/space/kscience/kmath/nd4j/Nd4jArrayStructureTest.kt b/kmath-nd4j/src/test/kotlin/space/kscience/kmath/nd4j/Nd4jArrayStructureTest.kt index 03369127d..0c03270dd 100644 --- a/kmath-nd4j/src/test/kotlin/space/kscience/kmath/nd4j/Nd4jArrayStructureTest.kt +++ b/kmath-nd4j/src/test/kotlin/space/kscience/kmath/nd4j/Nd4jArrayStructureTest.kt @@ -11,7 +11,7 @@ internal class Nd4jArrayStructureTest { @Test fun testElements() { val nd = Nd4j.create(doubleArrayOf(1.0, 2.0, 3.0))!! - val struct = nd.asRealStructure() + val struct = nd.asDoubleStructure() val res = struct.elements().map(Pair::second).toList() assertEquals(listOf(1.0, 2.0, 3.0), res) } @@ -19,32 +19,32 @@ internal class Nd4jArrayStructureTest { @Test fun testShape() { val nd = Nd4j.rand(10, 2, 3, 6) ?: fail() - val struct = nd.asRealStructure() + val struct = nd.asDoubleStructure() assertEquals(intArrayOf(10, 2, 3, 6).toList(), struct.shape.toList()) } @Test fun testEquals() { val nd1 = Nd4j.create(doubleArrayOf(1.0, 2.0, 3.0)) ?: fail() - val struct1 = nd1.asRealStructure() + val struct1 = nd1.asDoubleStructure() assertEquals(struct1, struct1) assertNotEquals(struct1 as Any?, null) val nd2 = Nd4j.create(doubleArrayOf(1.0, 2.0, 3.0)) ?: fail() - val struct2 = nd2.asRealStructure() + val struct2 = nd2.asDoubleStructure() assertEquals(struct1, struct2) assertEquals(struct2, struct1) val nd3 = Nd4j.create(doubleArrayOf(1.0, 2.0, 3.0)) ?: fail() - val struct3 = nd3.asRealStructure() + val struct3 = nd3.asDoubleStructure() assertEquals(struct2, struct3) assertEquals(struct1, struct3) } @Test fun testHashCode() { - val nd1 = Nd4j.create(doubleArrayOf(1.0, 2.0, 3.0))?:fail() - val struct1 = nd1.asRealStructure() - val nd2 = Nd4j.create(doubleArrayOf(1.0, 2.0, 3.0))?:fail() - val struct2 = nd2.asRealStructure() + val nd1 = Nd4j.create(doubleArrayOf(1.0, 2.0, 3.0)) ?: fail() + val struct1 = nd1.asDoubleStructure() + val nd2 = Nd4j.create(doubleArrayOf(1.0, 2.0, 3.0)) ?: fail() + val struct2 = nd2.asDoubleStructure() assertEquals(struct1.hashCode(), struct2.hashCode()) } @@ -57,7 +57,7 @@ internal class Nd4jArrayStructureTest { @Test fun testGet() { - val nd = Nd4j.rand(10, 2, 3, 6)?:fail() + val nd = Nd4j.rand(10, 2, 3, 6) ?: fail() val struct = nd.asIntStructure() assertEquals(nd.getInt(0, 0, 0, 0), struct[0, 0, 0, 0]) } diff --git a/kmath-stat/build.gradle.kts b/kmath-stat/build.gradle.kts index 67a96937c..5b29a9e64 100644 --- a/kmath-stat/build.gradle.kts +++ b/kmath-stat/build.gradle.kts @@ -25,6 +25,6 @@ kotlin.sourceSets { } } -readme{ +readme { maturity = ru.mipt.npm.gradle.Maturity.EXPERIMENTAL } \ No newline at end of file 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..25f6a87b5 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.DoubleBuffer public interface Sampler { public fun sample(generator: RandomGenerator): Chain @@ -52,7 +53,7 @@ public fun > UnivariateDistribution.integral(from: T, to: T public fun Sampler.sampleBuffer( generator: RandomGenerator, size: Int, - bufferFactory: BufferFactory = Buffer.Companion::boxing + bufferFactory: BufferFactory = Buffer.Companion::boxing, ): Chain> { require(size > 1) //creating temporary storage once @@ -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, ::DoubleBuffer) diff --git a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/OptimizationProblem.kt b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/OptimizationProblem.kt index 71f3096de..ffa24fa98 100644 --- a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/OptimizationProblem.kt +++ b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/OptimizationProblem.kt @@ -68,7 +68,7 @@ public fun > Expression.optimizeWith( configuration: F.() -> Unit, ): OptimizationResult { require(symbols.isNotEmpty()) { "Must provide a list of symbols for optimization" } - val problem = factory(symbols.toList(),configuration) + val problem = factory(symbols.toList(), configuration) problem.expression(this) return problem.optimize() } @@ -76,7 +76,7 @@ public fun > Expression.optimizeWith( /** * Optimize differentiable expression using specific [OptimizationProblemFactory] */ -public fun > DifferentiableExpression>.optimizeWith( +public fun > DifferentiableExpression>.optimizeWith( factory: OptimizationProblemFactory, vararg symbols: Symbol, configuration: F.() -> Unit, diff --git a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/RandomChain.kt b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/RandomChain.kt index 881eabdac..6e1f36c8a 100644 --- a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/RandomChain.kt +++ b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/RandomChain.kt @@ -7,7 +7,7 @@ import space.kscience.kmath.chains.Chain */ public class RandomChain( public val generator: RandomGenerator, - private val gen: suspend RandomGenerator.() -> R + private val gen: suspend RandomGenerator.() -> R, ) : Chain { override suspend fun next(): R = generator.gen() diff --git a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/Statistic.kt b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/Statistic.kt index 6fe0fee9b..689182115 100644 --- a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/Statistic.kt +++ b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/Statistic.kt @@ -81,7 +81,7 @@ public class Mean( public companion object { //TODO replace with optimized version which respects overflow - public val real: Mean = Mean(RealField) { sum, count -> sum / count } + public val real: Mean = Mean(DoubleField) { sum, count -> sum / count } public val int: Mean = Mean(IntRing) { sum, count -> sum / count } public val long: Mean = Mean(LongRing) { sum, count -> sum / count } } diff --git a/kmath-stat/src/jvmMain/kotlin/space/kscience/kmath/stat/distributions.kt b/kmath-stat/src/jvmMain/kotlin/space/kscience/kmath/stat/distributions.kt index d33b54818..8b5551a16 100644 --- a/kmath-stat/src/jvmMain/kotlin/space/kscience/kmath/stat/distributions.kt +++ b/kmath-stat/src/jvmMain/kotlin/space/kscience/kmath/stat/distributions.kt @@ -2,8 +2,8 @@ package space.kscience.kmath.stat import org.apache.commons.rng.UniformRandomProvider import org.apache.commons.rng.sampling.distribution.* +import space.kscience.kmath.chains.BlockingDoubleChain import space.kscience.kmath.chains.BlockingIntChain -import space.kscience.kmath.chains.BlockingRealChain import space.kscience.kmath.chains.Chain import kotlin.math.PI import kotlin.math.exp @@ -11,7 +11,7 @@ import kotlin.math.pow import kotlin.math.sqrt public abstract class ContinuousSamplerDistribution : Distribution { - private inner class ContinuousSamplerChain(val generator: RandomGenerator) : BlockingRealChain() { + private inner class ContinuousSamplerChain(val generator: RandomGenerator) : BlockingDoubleChain() { private val sampler = buildCMSampler(generator) override fun nextDouble(): Double = sampler.sample() @@ -20,7 +20,7 @@ public abstract class ContinuousSamplerDistribution : Distribution { protected abstract fun buildCMSampler(generator: RandomGenerator): ContinuousSampler - public override fun sample(generator: RandomGenerator): BlockingRealChain = ContinuousSamplerChain(generator) + public override fun sample(generator: RandomGenerator): BlockingDoubleChain = ContinuousSamplerChain(generator) } public abstract class DiscreteSamplerDistribution : Distribution { @@ -50,7 +50,7 @@ private fun normalSampler(method: NormalSamplerMethod, provider: UniformRandomPr } public fun Distribution.Companion.normal( - method: NormalSamplerMethod = NormalSamplerMethod.Ziggurat + method: NormalSamplerMethod = NormalSamplerMethod.Ziggurat, ): ContinuousSamplerDistribution = object : ContinuousSamplerDistribution() { override fun buildCMSampler(generator: RandomGenerator): ContinuousSampler { val provider = generator.asUniformRandomProvider() @@ -66,7 +66,7 @@ public fun Distribution.Companion.normal( public fun Distribution.Companion.normal( mean: Double, sigma: Double, - method: NormalSamplerMethod = NormalSamplerMethod.Ziggurat + method: NormalSamplerMethod = NormalSamplerMethod.Ziggurat, ): ContinuousSamplerDistribution = object : ContinuousSamplerDistribution() { private val sigma2 = sigma.pow(2) private val norm = sigma * sqrt(PI * 2) diff --git a/kmath-viktor/api/kmath-viktor.api b/kmath-viktor/api/kmath-viktor.api index ebb97b150..0b9ea1b48 100644 --- a/kmath-viktor/api/kmath-viktor.api +++ b/kmath-viktor/api/kmath-viktor.api @@ -1,8 +1,6 @@ public final class space/kscience/kmath/viktor/ViktorBuffer : space/kscience/kmath/structures/MutableBuffer { public static final synthetic fun box-impl (Lorg/jetbrains/bio/viktor/F64FlatArray;)Lspace/kscience/kmath/viktor/ViktorBuffer; public static fun constructor-impl (Lorg/jetbrains/bio/viktor/F64FlatArray;)Lorg/jetbrains/bio/viktor/F64FlatArray; - public fun contentEquals (Lspace/kscience/kmath/structures/Buffer;)Z - public static fun contentEquals-impl (Lorg/jetbrains/bio/viktor/F64FlatArray;Lspace/kscience/kmath/structures/Buffer;)Z public fun copy ()Lspace/kscience/kmath/structures/MutableBuffer; public static fun copy-impl (Lorg/jetbrains/bio/viktor/F64FlatArray;)Lspace/kscience/kmath/structures/MutableBuffer; public fun equals (Ljava/lang/Object;)Z @@ -26,130 +24,130 @@ public final class space/kscience/kmath/viktor/ViktorBuffer : space/kscience/kma public final synthetic fun unbox-impl ()Lorg/jetbrains/bio/viktor/F64FlatArray; } -public final class space/kscience/kmath/viktor/ViktorNDField : space/kscience/kmath/nd/NDField, space/kscience/kmath/operations/ExtendedField, space/kscience/kmath/operations/NumbersAddOperations, space/kscience/kmath/operations/ScaleOperations { +public final class space/kscience/kmath/viktor/ViktorFieldND : space/kscience/kmath/nd/FieldND, space/kscience/kmath/operations/ExtendedField, space/kscience/kmath/operations/NumbersAddOperations, space/kscience/kmath/operations/ScaleOperations { public fun ([I)V public synthetic fun acos (Ljava/lang/Object;)Ljava/lang/Object; - public fun acos-Q7Xurp0 (Lspace/kscience/kmath/nd/NDStructure;)Lorg/jetbrains/bio/viktor/F64Array; + public fun acos-8UOKELU (Lspace/kscience/kmath/nd/StructureND;)Lorg/jetbrains/bio/viktor/F64Array; public synthetic fun acosh (Ljava/lang/Object;)Ljava/lang/Object; - public fun acosh (Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun acosh (Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun add (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public synthetic fun add (Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public fun add-s8yP2C4 (Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lorg/jetbrains/bio/viktor/F64Array; + public synthetic fun add (Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public fun add-zrEAbyI (Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lorg/jetbrains/bio/viktor/F64Array; public synthetic fun asin (Ljava/lang/Object;)Ljava/lang/Object; - public fun asin-Q7Xurp0 (Lspace/kscience/kmath/nd/NDStructure;)Lorg/jetbrains/bio/viktor/F64Array; + public fun asin-8UOKELU (Lspace/kscience/kmath/nd/StructureND;)Lorg/jetbrains/bio/viktor/F64Array; public synthetic fun asinh (Ljava/lang/Object;)Ljava/lang/Object; - public fun asinh (Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun asinh (Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun atan (Ljava/lang/Object;)Ljava/lang/Object; - public fun atan-Q7Xurp0 (Lspace/kscience/kmath/nd/NDStructure;)Lorg/jetbrains/bio/viktor/F64Array; + public fun atan-8UOKELU (Lspace/kscience/kmath/nd/StructureND;)Lorg/jetbrains/bio/viktor/F64Array; public synthetic fun atanh (Ljava/lang/Object;)Ljava/lang/Object; - public fun atanh (Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun atanh (Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; 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/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun binaryOperation (Ljava/lang/String;Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; 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/NDStructure; - public synthetic fun combine (Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;Lkotlin/jvm/functions/Function3;)Lspace/kscience/kmath/nd/NDStructure; - public fun combine-ZQYDhZg (Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;Lkotlin/jvm/functions/Function3;)Lorg/jetbrains/bio/viktor/F64Array; + public fun bindSymbol (Ljava/lang/String;)Lspace/kscience/kmath/nd/StructureND; + public synthetic fun combine (Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;Lkotlin/jvm/functions/Function3;)Lspace/kscience/kmath/nd/StructureND; + public fun combine-WKhNzhk (Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;Lkotlin/jvm/functions/Function3;)Lorg/jetbrains/bio/viktor/F64Array; public synthetic fun cos (Ljava/lang/Object;)Ljava/lang/Object; - public fun cos-Q7Xurp0 (Lspace/kscience/kmath/nd/NDStructure;)Lorg/jetbrains/bio/viktor/F64Array; + public fun cos-8UOKELU (Lspace/kscience/kmath/nd/StructureND;)Lorg/jetbrains/bio/viktor/F64Array; public synthetic fun cosh (Ljava/lang/Object;)Ljava/lang/Object; - public fun cosh (Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public fun div (DLspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun cosh (Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public fun div (DLspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun div (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; public synthetic fun div (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public synthetic fun div (Ljava/lang/Object;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public fun div (Lspace/kscience/kmath/nd/NDStructure;D)Lspace/kscience/kmath/nd/NDStructure; - public fun div (Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Number;)Lspace/kscience/kmath/nd/NDStructure; - public synthetic fun div (Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Object;)Lspace/kscience/kmath/nd/NDStructure; - public fun div (Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public synthetic fun div (Ljava/lang/Object;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public fun div (Lspace/kscience/kmath/nd/StructureND;D)Lspace/kscience/kmath/nd/StructureND; + public fun div (Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Number;)Lspace/kscience/kmath/nd/StructureND; + public synthetic fun div (Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Object;)Lspace/kscience/kmath/nd/StructureND; + public fun div (Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun divide (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun divide (Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun divide (Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun exp (Ljava/lang/Object;)Ljava/lang/Object; - public fun exp-Q7Xurp0 (Lspace/kscience/kmath/nd/NDStructure;)Lorg/jetbrains/bio/viktor/F64Array; + public fun exp-8UOKELU (Lspace/kscience/kmath/nd/StructureND;)Lorg/jetbrains/bio/viktor/F64Array; public synthetic fun getElementContext ()Lspace/kscience/kmath/operations/Algebra; - public fun getElementContext ()Lspace/kscience/kmath/operations/RealField; - public final fun getF64Buffer (Lspace/kscience/kmath/nd/NDStructure;)Lorg/jetbrains/bio/viktor/F64Array; + public fun getElementContext ()Lspace/kscience/kmath/operations/DoubleField; + public final fun getF64Buffer (Lspace/kscience/kmath/nd/StructureND;)Lorg/jetbrains/bio/viktor/F64Array; public synthetic fun getOne ()Ljava/lang/Object; - public fun getOne-MSOxzaI ()Lorg/jetbrains/bio/viktor/F64Array; + public fun getOne-6kW2wQc ()Lorg/jetbrains/bio/viktor/F64Array; public fun getShape ()[I public synthetic fun getZero ()Ljava/lang/Object; - public fun getZero-MSOxzaI ()Lorg/jetbrains/bio/viktor/F64Array; - public fun invoke (Lkotlin/jvm/functions/Function1;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun getZero-6kW2wQc ()Lorg/jetbrains/bio/viktor/F64Array; + public fun invoke (Lkotlin/jvm/functions/Function1;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun leftSideNumberOperation (Ljava/lang/String;Ljava/lang/Number;Ljava/lang/Object;)Ljava/lang/Object; - public fun leftSideNumberOperation (Ljava/lang/String;Ljava/lang/Number;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun leftSideNumberOperation (Ljava/lang/String;Ljava/lang/Number;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; public fun leftSideNumberOperationFunction (Ljava/lang/String;)Lkotlin/jvm/functions/Function2; public synthetic fun ln (Ljava/lang/Object;)Ljava/lang/Object; - public fun ln-Q7Xurp0 (Lspace/kscience/kmath/nd/NDStructure;)Lorg/jetbrains/bio/viktor/F64Array; - public synthetic fun map (Lspace/kscience/kmath/nd/NDStructure;Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/NDStructure; - public fun map-s8yP2C4 (Lspace/kscience/kmath/nd/NDStructure;Lkotlin/jvm/functions/Function2;)Lorg/jetbrains/bio/viktor/F64Array; - public synthetic fun mapIndexed (Lspace/kscience/kmath/nd/NDStructure;Lkotlin/jvm/functions/Function3;)Lspace/kscience/kmath/nd/NDStructure; - public fun mapIndexed-s8yP2C4 (Lspace/kscience/kmath/nd/NDStructure;Lkotlin/jvm/functions/Function3;)Lorg/jetbrains/bio/viktor/F64Array; - public fun minus (DLspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun ln-8UOKELU (Lspace/kscience/kmath/nd/StructureND;)Lorg/jetbrains/bio/viktor/F64Array; + public synthetic fun map (Lspace/kscience/kmath/nd/StructureND;Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/StructureND; + public fun map-zrEAbyI (Lspace/kscience/kmath/nd/StructureND;Lkotlin/jvm/functions/Function2;)Lorg/jetbrains/bio/viktor/F64Array; + public synthetic fun mapIndexed (Lspace/kscience/kmath/nd/StructureND;Lkotlin/jvm/functions/Function3;)Lspace/kscience/kmath/nd/StructureND; + public fun mapIndexed-zrEAbyI (Lspace/kscience/kmath/nd/StructureND;Lkotlin/jvm/functions/Function3;)Lorg/jetbrains/bio/viktor/F64Array; + public fun minus (DLspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun minus (Ljava/lang/Number;Ljava/lang/Object;)Ljava/lang/Object; - public fun minus (Ljava/lang/Number;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun minus (Ljava/lang/Number;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun minus (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; public synthetic fun minus (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public synthetic fun minus (Ljava/lang/Object;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public fun minus (Lspace/kscience/kmath/nd/NDStructure;D)Lspace/kscience/kmath/nd/NDStructure; - public fun minus (Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Number;)Lspace/kscience/kmath/nd/NDStructure; - public synthetic fun minus (Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Object;)Lspace/kscience/kmath/nd/NDStructure; - public fun minus-s8yP2C4 (Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lorg/jetbrains/bio/viktor/F64Array; + public synthetic fun minus (Ljava/lang/Object;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public fun minus (Lspace/kscience/kmath/nd/StructureND;D)Lspace/kscience/kmath/nd/StructureND; + public fun minus (Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Number;)Lspace/kscience/kmath/nd/StructureND; + public synthetic fun minus (Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Object;)Lspace/kscience/kmath/nd/StructureND; + public fun minus-zrEAbyI (Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lorg/jetbrains/bio/viktor/F64Array; public synthetic fun multiply (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public fun multiply (Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun multiply (Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun number (Ljava/lang/Number;)Ljava/lang/Object; - public fun number-Q7Xurp0 (Ljava/lang/Number;)Lorg/jetbrains/bio/viktor/F64Array; - public fun plus (DLspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun number-8UOKELU (Ljava/lang/Number;)Lorg/jetbrains/bio/viktor/F64Array; + public fun plus (DLspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun plus (Ljava/lang/Number;Ljava/lang/Object;)Ljava/lang/Object; - public fun plus (Ljava/lang/Number;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun plus (Ljava/lang/Number;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun plus (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; public synthetic fun plus (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public synthetic fun plus (Ljava/lang/Object;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public fun plus (Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Number;)Lspace/kscience/kmath/nd/NDStructure; - public synthetic fun plus (Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Object;)Lspace/kscience/kmath/nd/NDStructure; - public fun plus-s8yP2C4 (Lspace/kscience/kmath/nd/NDStructure;D)Lorg/jetbrains/bio/viktor/F64Array; - public fun plus-s8yP2C4 (Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lorg/jetbrains/bio/viktor/F64Array; + public synthetic fun plus (Ljava/lang/Object;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public fun plus (Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Number;)Lspace/kscience/kmath/nd/StructureND; + public synthetic fun plus (Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Object;)Lspace/kscience/kmath/nd/StructureND; + public fun plus-zrEAbyI (Lspace/kscience/kmath/nd/StructureND;D)Lorg/jetbrains/bio/viktor/F64Array; + public fun plus-zrEAbyI (Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lorg/jetbrains/bio/viktor/F64Array; public synthetic fun pow (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; - public fun pow (Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Number;)Lspace/kscience/kmath/nd/NDStructure; + public fun pow (Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Number;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun power (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; - public fun power-s8yP2C4 (Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Number;)Lorg/jetbrains/bio/viktor/F64Array; - public synthetic fun produce (Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/NDStructure; - public fun produce-Q7Xurp0 (Lkotlin/jvm/functions/Function2;)Lorg/jetbrains/bio/viktor/F64Array; + public fun power-zrEAbyI (Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Number;)Lorg/jetbrains/bio/viktor/F64Array; + public synthetic fun produce (Lkotlin/jvm/functions/Function2;)Lspace/kscience/kmath/nd/StructureND; + public fun produce-8UOKELU (Lkotlin/jvm/functions/Function2;)Lorg/jetbrains/bio/viktor/F64Array; public synthetic fun rightSideNumberOperation (Ljava/lang/String;Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; - public fun rightSideNumberOperation (Ljava/lang/String;Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Number;)Lspace/kscience/kmath/nd/NDStructure; + public fun rightSideNumberOperation (Ljava/lang/String;Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Number;)Lspace/kscience/kmath/nd/StructureND; public fun rightSideNumberOperationFunction (Ljava/lang/String;)Lkotlin/jvm/functions/Function2; public synthetic fun scale (Ljava/lang/Object;D)Ljava/lang/Object; - public fun scale-s8yP2C4 (Lspace/kscience/kmath/nd/NDStructure;D)Lorg/jetbrains/bio/viktor/F64Array; + public fun scale-zrEAbyI (Lspace/kscience/kmath/nd/StructureND;D)Lorg/jetbrains/bio/viktor/F64Array; public synthetic fun sin (Ljava/lang/Object;)Ljava/lang/Object; - public fun sin-Q7Xurp0 (Lspace/kscience/kmath/nd/NDStructure;)Lorg/jetbrains/bio/viktor/F64Array; + public fun sin-8UOKELU (Lspace/kscience/kmath/nd/StructureND;)Lorg/jetbrains/bio/viktor/F64Array; public synthetic fun sinh (Ljava/lang/Object;)Ljava/lang/Object; - public fun sinh (Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun sinh (Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun sqrt (Ljava/lang/Object;)Ljava/lang/Object; - public fun sqrt (Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun sqrt (Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun tan (Ljava/lang/Object;)Ljava/lang/Object; - public fun tan (Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun tan (Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun tanh (Ljava/lang/Object;)Ljava/lang/Object; - public fun tanh (Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public fun times (DLspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun tanh (Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public fun times (DLspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun times (Ljava/lang/Number;Ljava/lang/Object;)Ljava/lang/Object; - public fun times (Ljava/lang/Number;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun times (Ljava/lang/Number;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun times (Ljava/lang/Object;Ljava/lang/Number;)Ljava/lang/Object; public synthetic fun times (Ljava/lang/Object;Ljava/lang/Object;)Ljava/lang/Object; - public synthetic fun times (Ljava/lang/Object;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public fun times (Lspace/kscience/kmath/nd/NDStructure;D)Lspace/kscience/kmath/nd/NDStructure; - public synthetic fun times (Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Object;)Lspace/kscience/kmath/nd/NDStructure; - public fun times (Lspace/kscience/kmath/nd/NDStructure;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; - public fun times-s8yP2C4 (Lspace/kscience/kmath/nd/NDStructure;Ljava/lang/Number;)Lorg/jetbrains/bio/viktor/F64Array; + public synthetic fun times (Ljava/lang/Object;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public fun times (Lspace/kscience/kmath/nd/StructureND;D)Lspace/kscience/kmath/nd/StructureND; + public synthetic fun times (Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Object;)Lspace/kscience/kmath/nd/StructureND; + public fun times (Lspace/kscience/kmath/nd/StructureND;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; + public fun times-zrEAbyI (Lspace/kscience/kmath/nd/StructureND;Ljava/lang/Number;)Lorg/jetbrains/bio/viktor/F64Array; public synthetic fun unaryMinus (Ljava/lang/Object;)Ljava/lang/Object; - public fun unaryMinus (Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun unaryMinus (Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; public synthetic fun unaryOperation (Ljava/lang/String;Ljava/lang/Object;)Ljava/lang/Object; - public fun unaryOperation (Ljava/lang/String;Lspace/kscience/kmath/nd/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun unaryOperation (Ljava/lang/String;Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; 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/NDStructure;)Lspace/kscience/kmath/nd/NDStructure; + public fun unaryPlus (Lspace/kscience/kmath/nd/StructureND;)Lspace/kscience/kmath/nd/StructureND; } -public final class space/kscience/kmath/viktor/ViktorNDStructure : space/kscience/kmath/nd/MutableNDStructure { - public static final synthetic fun box-impl (Lorg/jetbrains/bio/viktor/F64Array;)Lspace/kscience/kmath/viktor/ViktorNDStructure; +public final class space/kscience/kmath/viktor/ViktorStructureND : space/kscience/kmath/nd/MutableStructureND { + public static final synthetic fun box-impl (Lorg/jetbrains/bio/viktor/F64Array;)Lspace/kscience/kmath/viktor/ViktorStructureND; public static fun constructor-impl (Lorg/jetbrains/bio/viktor/F64Array;)Lorg/jetbrains/bio/viktor/F64Array; public fun elements ()Lkotlin/sequences/Sequence; public static fun elements-impl (Lorg/jetbrains/bio/viktor/F64Array;)Lkotlin/sequences/Sequence; @@ -174,8 +172,8 @@ public final class space/kscience/kmath/viktor/ViktorNDStructure : space/kscienc public final synthetic fun unbox-impl ()Lorg/jetbrains/bio/viktor/F64Array; } -public final class space/kscience/kmath/viktor/ViktorNDStructureKt { - public static final fun ViktorNDField ([I)Lspace/kscience/kmath/viktor/ViktorNDField; +public final class space/kscience/kmath/viktor/ViktorStructureNDKt { + public static final fun ViktorNDField ([I)Lspace/kscience/kmath/viktor/ViktorFieldND; public static final fun asStructure (Lorg/jetbrains/bio/viktor/F64Array;)Lorg/jetbrains/bio/viktor/F64Array; } diff --git a/kmath-viktor/build.gradle.kts b/kmath-viktor/build.gradle.kts index b79a25ea1..94744f528 100644 --- a/kmath-viktor/build.gradle.kts +++ b/kmath-viktor/build.gradle.kts @@ -9,6 +9,6 @@ dependencies { api("org.jetbrains.bio:viktor:1.0.1") } -readme{ +readme { maturity = ru.mipt.npm.gradle.Maturity.DEVELOPMENT } \ No newline at end of file diff --git a/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorNDStructure.kt b/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorNDStructure.kt deleted file mode 100644 index d791ed675..000000000 --- a/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorNDStructure.kt +++ /dev/null @@ -1,123 +0,0 @@ -package space.kscience.kmath.viktor - -import org.jetbrains.bio.viktor.F64Array -import space.kscience.kmath.misc.UnstableKMathAPI -import space.kscience.kmath.nd.* -import space.kscience.kmath.operations.ExtendedField -import space.kscience.kmath.operations.NumbersAddOperations -import space.kscience.kmath.operations.RealField -import space.kscience.kmath.operations.ScaleOperations - -@Suppress("OVERRIDE_BY_INLINE", "NOTHING_TO_INLINE") -public inline class ViktorNDStructure(public val f64Buffer: F64Array) : MutableNDStructure { - public override val shape: IntArray get() = f64Buffer.shape - - public override inline fun get(index: IntArray): Double = f64Buffer.get(*index) - - public override inline fun set(index: IntArray, value: Double) { - f64Buffer.set(*index, value = value) - } - - public override fun elements(): Sequence> = - DefaultStrides(shape).indices().map { it to get(it) } -} - -public fun F64Array.asStructure(): ViktorNDStructure = ViktorNDStructure(this) - -@OptIn(UnstableKMathAPI::class) -@Suppress("OVERRIDE_BY_INLINE", "NOTHING_TO_INLINE") -public class ViktorNDField(public override val shape: IntArray) : NDField, - NumbersAddOperations>, ExtendedField>, - ScaleOperations> { - - public val NDStructure.f64Buffer: F64Array - get() = when { - !shape.contentEquals(this@ViktorNDField.shape) -> throw ShapeMismatchException( - this@ViktorNDField.shape, - shape - ) - this is ViktorNDStructure && this.f64Buffer.shape.contentEquals(this@ViktorNDField.shape) -> this.f64Buffer - else -> produce { this@f64Buffer[it] }.f64Buffer - } - - public override val zero: ViktorNDStructure by lazy { F64Array.full(init = 0.0, shape = shape).asStructure() } - - public override val one: ViktorNDStructure by lazy { F64Array.full(init = 1.0, shape = shape).asStructure() } - - private val strides: Strides = DefaultStrides(shape) - - public override val elementContext: RealField get() = RealField - - public override fun produce(initializer: RealField.(IntArray) -> Double): ViktorNDStructure = - F64Array(*shape).apply { - this@ViktorNDField.strides.indices().forEach { index -> - set(value = RealField.initializer(index), indices = index) - } - }.asStructure() - - override fun NDStructure.unaryMinus(): NDStructure = -1 * this - - public override fun NDStructure.map(transform: RealField.(Double) -> Double): ViktorNDStructure = - F64Array(*this@ViktorNDField.shape).apply { - this@ViktorNDField.strides.indices().forEach { index -> - set(value = RealField.transform(this@map[index]), indices = index) - } - }.asStructure() - - public override fun NDStructure.mapIndexed( - transform: RealField.(index: IntArray, Double) -> Double, - ): ViktorNDStructure = F64Array(*this@ViktorNDField.shape).apply { - this@ViktorNDField.strides.indices().forEach { index -> - set(value = RealField.transform(index, this@mapIndexed[index]), indices = index) - } - }.asStructure() - - public override fun combine( - a: NDStructure, - b: NDStructure, - transform: RealField.(Double, Double) -> Double, - ): ViktorNDStructure = F64Array(*shape).apply { - this@ViktorNDField.strides.indices().forEach { index -> - set(value = RealField.transform(a[index], b[index]), indices = index) - } - }.asStructure() - - public override fun add(a: NDStructure, b: NDStructure): ViktorNDStructure = - (a.f64Buffer + b.f64Buffer).asStructure() - - public override fun scale(a: NDStructure, value: Double): ViktorNDStructure = - (a.f64Buffer * value.toDouble()).asStructure() - - public override inline fun NDStructure.plus(b: NDStructure): ViktorNDStructure = - (f64Buffer + b.f64Buffer).asStructure() - - public override inline fun NDStructure.minus(b: NDStructure): ViktorNDStructure = - (f64Buffer - b.f64Buffer).asStructure() - - public override inline fun NDStructure.times(k: Number): ViktorNDStructure = - (f64Buffer * k.toDouble()).asStructure() - - public override inline fun NDStructure.plus(arg: Double): ViktorNDStructure = - (f64Buffer.plus(arg)).asStructure() - - override fun number(value: Number): ViktorNDStructure = - F64Array.full(init = value.toDouble(), shape = shape).asStructure() - - override fun sin(arg: NDStructure): ViktorNDStructure = arg.map { sin(it) } - - override fun cos(arg: NDStructure): ViktorNDStructure = arg.map { cos(it) } - - override fun asin(arg: NDStructure): ViktorNDStructure = arg.map { asin(it) } - - override fun acos(arg: NDStructure): ViktorNDStructure = arg.map { acos(it) } - - override fun atan(arg: NDStructure): ViktorNDStructure = arg.map { atan(it) } - - override fun power(arg: NDStructure, pow: Number): ViktorNDStructure = arg.map { it.pow(pow) } - - override fun exp(arg: NDStructure): ViktorNDStructure = arg.f64Buffer.exp().asStructure() - - override fun ln(arg: NDStructure): ViktorNDStructure = arg.f64Buffer.log().asStructure() -} - -public fun ViktorNDField(vararg shape: Int): ViktorNDField = ViktorNDField(shape) \ No newline at end of file diff --git a/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorStructureND.kt b/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorStructureND.kt new file mode 100644 index 000000000..420bcac90 --- /dev/null +++ b/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorStructureND.kt @@ -0,0 +1,123 @@ +package space.kscience.kmath.viktor + +import org.jetbrains.bio.viktor.F64Array +import space.kscience.kmath.misc.UnstableKMathAPI +import space.kscience.kmath.nd.* +import space.kscience.kmath.operations.DoubleField +import space.kscience.kmath.operations.ExtendedField +import space.kscience.kmath.operations.NumbersAddOperations +import space.kscience.kmath.operations.ScaleOperations + +@Suppress("OVERRIDE_BY_INLINE", "NOTHING_TO_INLINE") +public inline class ViktorStructureND(public val f64Buffer: F64Array) : MutableStructureND { + public override val shape: IntArray get() = f64Buffer.shape + + public override inline fun get(index: IntArray): Double = f64Buffer.get(*index) + + public override inline fun set(index: IntArray, value: Double) { + f64Buffer.set(*index, value = value) + } + + public override fun elements(): Sequence> = + DefaultStrides(shape).indices().map { it to get(it) } +} + +public fun F64Array.asStructure(): ViktorStructureND = ViktorStructureND(this) + +@OptIn(UnstableKMathAPI::class) +@Suppress("OVERRIDE_BY_INLINE", "NOTHING_TO_INLINE") +public class ViktorFieldND(public override val shape: IntArray) : FieldND, + NumbersAddOperations>, ExtendedField>, + ScaleOperations> { + + public val StructureND.f64Buffer: F64Array + get() = when { + !shape.contentEquals(this@ViktorFieldND.shape) -> throw ShapeMismatchException( + this@ViktorFieldND.shape, + shape + ) + this is ViktorStructureND && this.f64Buffer.shape.contentEquals(this@ViktorFieldND.shape) -> this.f64Buffer + else -> produce { this@f64Buffer[it] }.f64Buffer + } + + public override val zero: ViktorStructureND by lazy { F64Array.full(init = 0.0, shape = shape).asStructure() } + + public override val one: ViktorStructureND by lazy { F64Array.full(init = 1.0, shape = shape).asStructure() } + + private val strides: Strides = DefaultStrides(shape) + + public override val elementContext: DoubleField get() = DoubleField + + public override fun produce(initializer: DoubleField.(IntArray) -> Double): ViktorStructureND = + F64Array(*shape).apply { + this@ViktorFieldND.strides.indices().forEach { index -> + set(value = DoubleField.initializer(index), indices = index) + } + }.asStructure() + + override fun StructureND.unaryMinus(): StructureND = -1 * this + + public override fun StructureND.map(transform: DoubleField.(Double) -> Double): ViktorStructureND = + F64Array(*this@ViktorFieldND.shape).apply { + this@ViktorFieldND.strides.indices().forEach { index -> + set(value = DoubleField.transform(this@map[index]), indices = index) + } + }.asStructure() + + public override fun StructureND.mapIndexed( + transform: DoubleField.(index: IntArray, Double) -> Double, + ): ViktorStructureND = F64Array(*this@ViktorFieldND.shape).apply { + this@ViktorFieldND.strides.indices().forEach { index -> + set(value = DoubleField.transform(index, this@mapIndexed[index]), indices = index) + } + }.asStructure() + + public override fun combine( + a: StructureND, + b: StructureND, + transform: DoubleField.(Double, Double) -> Double, + ): ViktorStructureND = F64Array(*shape).apply { + this@ViktorFieldND.strides.indices().forEach { index -> + set(value = DoubleField.transform(a[index], b[index]), indices = index) + } + }.asStructure() + + public override fun add(a: StructureND, b: StructureND): ViktorStructureND = + (a.f64Buffer + b.f64Buffer).asStructure() + + public override fun scale(a: StructureND, value: Double): ViktorStructureND = + (a.f64Buffer * value.toDouble()).asStructure() + + public override inline fun StructureND.plus(b: StructureND): ViktorStructureND = + (f64Buffer + b.f64Buffer).asStructure() + + public override inline fun StructureND.minus(b: StructureND): ViktorStructureND = + (f64Buffer - b.f64Buffer).asStructure() + + public override inline fun StructureND.times(k: Number): ViktorStructureND = + (f64Buffer * k.toDouble()).asStructure() + + public override inline fun StructureND.plus(arg: Double): ViktorStructureND = + (f64Buffer.plus(arg)).asStructure() + + override fun number(value: Number): ViktorStructureND = + F64Array.full(init = value.toDouble(), shape = shape).asStructure() + + override fun sin(arg: StructureND): ViktorStructureND = arg.map { sin(it) } + + override fun cos(arg: StructureND): ViktorStructureND = arg.map { cos(it) } + + override fun asin(arg: StructureND): ViktorStructureND = arg.map { asin(it) } + + override fun acos(arg: StructureND): ViktorStructureND = arg.map { acos(it) } + + override fun atan(arg: StructureND): ViktorStructureND = arg.map { atan(it) } + + override fun power(arg: StructureND, pow: Number): ViktorStructureND = arg.map { it.pow(pow) } + + override fun exp(arg: StructureND): ViktorStructureND = arg.f64Buffer.exp().asStructure() + + override fun ln(arg: StructureND): ViktorStructureND = arg.f64Buffer.log().asStructure() +} + +public fun ViktorNDField(vararg shape: Int): ViktorFieldND = ViktorFieldND(shape) \ No newline at end of file