Merge remote-tracking branch 'upstream/dev' into zelenyy
This commit is contained in:
commit
18454c56fc
@ -1,14 +1,10 @@
|
|||||||
buildscript {
|
buildscript {
|
||||||
extra["kotlinVersion"] = "1.3.20-eap-100"
|
val kotlinVersion: String by rootProject.extra("1.3.20")
|
||||||
extra["ioVersion"] = "0.1.2"
|
val ioVersion: String by rootProject.extra("0.1.2")
|
||||||
extra["coroutinesVersion"] = "1.1.0"
|
val coroutinesVersion: String by rootProject.extra("1.1.1")
|
||||||
|
|
||||||
val kotlinVersion: String by extra
|
|
||||||
val ioVersion: String by extra
|
|
||||||
val coroutinesVersion: String by extra
|
|
||||||
|
|
||||||
repositories {
|
repositories {
|
||||||
maven("https://dl.bintray.com/kotlin/kotlin-eap")
|
//maven("https://dl.bintray.com/kotlin/kotlin-eap")
|
||||||
jcenter()
|
jcenter()
|
||||||
}
|
}
|
||||||
|
|
||||||
@ -28,7 +24,7 @@ allprojects {
|
|||||||
apply(plugin = "com.jfrog.artifactory")
|
apply(plugin = "com.jfrog.artifactory")
|
||||||
|
|
||||||
group = "scientifik"
|
group = "scientifik"
|
||||||
version = "0.0.3-dev-3"
|
version = "0.0.3-dev-4"
|
||||||
|
|
||||||
repositories {
|
repositories {
|
||||||
maven("https://dl.bintray.com/kotlin/kotlin-eap")
|
maven("https://dl.bintray.com/kotlin/kotlin-eap")
|
||||||
|
@ -4,11 +4,16 @@ import org.apache.commons.math3.linear.*
|
|||||||
import org.apache.commons.math3.linear.RealMatrix
|
import org.apache.commons.math3.linear.RealMatrix
|
||||||
import org.apache.commons.math3.linear.RealVector
|
import org.apache.commons.math3.linear.RealVector
|
||||||
|
|
||||||
inline class CMMatrix(val origin: RealMatrix) : Matrix<Double> {
|
class CMMatrix(val origin: RealMatrix, features: Set<MatrixFeature>? = null) : Matrix<Double> {
|
||||||
override val rowNum: Int get() = origin.rowDimension
|
override val rowNum: Int get() = origin.rowDimension
|
||||||
override val colNum: Int get() = origin.columnDimension
|
override val colNum: Int get() = origin.columnDimension
|
||||||
|
|
||||||
override val features: Set<MatrixFeature> get() = emptySet()
|
override val features: Set<MatrixFeature> = features ?: sequence<MatrixFeature> {
|
||||||
|
if(origin is DiagonalMatrix) yield(DiagonalFeature)
|
||||||
|
}.toSet()
|
||||||
|
|
||||||
|
override fun suggestFeature(vararg features: MatrixFeature) =
|
||||||
|
CMMatrix(origin, this.features + features)
|
||||||
|
|
||||||
override fun get(i: Int, j: Int): Double = origin.getEntry(i, j)
|
override fun get(i: Int, j: Int): Double = origin.getEntry(i, j)
|
||||||
}
|
}
|
||||||
@ -23,7 +28,7 @@ fun Matrix<Double>.toCM(): CMMatrix = if (this is CMMatrix) {
|
|||||||
|
|
||||||
fun RealMatrix.toMatrix() = CMMatrix(this)
|
fun RealMatrix.toMatrix() = CMMatrix(this)
|
||||||
|
|
||||||
inline class CMVector(val origin: RealVector) : Point<Double> {
|
class CMVector(val origin: RealVector) : Point<Double> {
|
||||||
override val size: Int get() = origin.dimension
|
override val size: Int get() = origin.dimension
|
||||||
|
|
||||||
override fun get(index: Int): Double = origin.getEntry(index)
|
override fun get(index: Int): Double = origin.getEntry(index)
|
||||||
|
@ -1,50 +0,0 @@
|
|||||||
plugins {
|
|
||||||
id "org.jetbrains.kotlin.multiplatform"
|
|
||||||
}
|
|
||||||
|
|
||||||
kotlin {
|
|
||||||
jvm {
|
|
||||||
compilations["main"].kotlinOptions.jvmTarget = "1.8"
|
|
||||||
compilations["test"].kotlinOptions.jvmTarget = "1.8"
|
|
||||||
}
|
|
||||||
js()
|
|
||||||
|
|
||||||
sourceSets {
|
|
||||||
commonMain {
|
|
||||||
dependencies {
|
|
||||||
api 'org.jetbrains.kotlin:kotlin-stdlib-common'
|
|
||||||
}
|
|
||||||
}
|
|
||||||
commonTest {
|
|
||||||
dependencies {
|
|
||||||
implementation 'org.jetbrains.kotlin:kotlin-test-common'
|
|
||||||
implementation 'org.jetbrains.kotlin:kotlin-test-annotations-common'
|
|
||||||
}
|
|
||||||
}
|
|
||||||
jvmMain {
|
|
||||||
dependencies {
|
|
||||||
api 'org.jetbrains.kotlin:kotlin-stdlib-jdk8'
|
|
||||||
}
|
|
||||||
}
|
|
||||||
jvmTest {
|
|
||||||
dependencies {
|
|
||||||
implementation 'org.jetbrains.kotlin:kotlin-test'
|
|
||||||
implementation 'org.jetbrains.kotlin:kotlin-test-junit'
|
|
||||||
}
|
|
||||||
}
|
|
||||||
jsMain {
|
|
||||||
dependencies {
|
|
||||||
api 'org.jetbrains.kotlin:kotlin-stdlib-js'
|
|
||||||
}
|
|
||||||
}
|
|
||||||
jsTest {
|
|
||||||
dependencies {
|
|
||||||
implementation 'org.jetbrains.kotlin:kotlin-test-js'
|
|
||||||
}
|
|
||||||
}
|
|
||||||
// mingwMain {
|
|
||||||
// }
|
|
||||||
// mingwTest {
|
|
||||||
// }
|
|
||||||
}
|
|
||||||
}
|
|
55
kmath-core/build.gradle.kts
Normal file
55
kmath-core/build.gradle.kts
Normal file
@ -0,0 +1,55 @@
|
|||||||
|
plugins {
|
||||||
|
kotlin("multiplatform")
|
||||||
|
}
|
||||||
|
|
||||||
|
|
||||||
|
kotlin {
|
||||||
|
jvm {
|
||||||
|
compilations.all {
|
||||||
|
kotlinOptions {
|
||||||
|
jvmTarget = "1.8"
|
||||||
|
freeCompilerArgs += "-progressive"
|
||||||
|
}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
js()
|
||||||
|
|
||||||
|
sourceSets {
|
||||||
|
val commonMain by getting {
|
||||||
|
dependencies {
|
||||||
|
api(kotlin("stdlib"))
|
||||||
|
}
|
||||||
|
}
|
||||||
|
val commonTest by getting {
|
||||||
|
dependencies {
|
||||||
|
implementation(kotlin("test-common"))
|
||||||
|
implementation(kotlin("test-annotations-common"))
|
||||||
|
}
|
||||||
|
}
|
||||||
|
val jvmMain by getting {
|
||||||
|
dependencies {
|
||||||
|
api(kotlin("stdlib-jdk8"))
|
||||||
|
}
|
||||||
|
}
|
||||||
|
val jvmTest by getting {
|
||||||
|
dependencies {
|
||||||
|
implementation(kotlin("test"))
|
||||||
|
implementation(kotlin("test-junit"))
|
||||||
|
}
|
||||||
|
}
|
||||||
|
val jsMain by getting {
|
||||||
|
dependencies {
|
||||||
|
api(kotlin("stdlib-js"))
|
||||||
|
}
|
||||||
|
}
|
||||||
|
val jsTest by getting {
|
||||||
|
dependencies {
|
||||||
|
implementation(kotlin("test-js"))
|
||||||
|
}
|
||||||
|
}
|
||||||
|
// mingwMain {
|
||||||
|
// }
|
||||||
|
// mingwTest {
|
||||||
|
// }
|
||||||
|
}
|
||||||
|
}
|
@ -35,6 +35,9 @@ class BufferMatrix<T : Any>(
|
|||||||
|
|
||||||
override val shape: IntArray get() = intArrayOf(rowNum, colNum)
|
override val shape: IntArray get() = intArrayOf(rowNum, colNum)
|
||||||
|
|
||||||
|
override fun suggestFeature(vararg features: MatrixFeature) =
|
||||||
|
BufferMatrix(rowNum, colNum, buffer, this.features + features)
|
||||||
|
|
||||||
override fun get(index: IntArray): T = get(index[0], index[1])
|
override fun get(index: IntArray): T = get(index[0], index[1])
|
||||||
|
|
||||||
override fun get(i: Int, j: Int): T = buffer[i * colNum + j]
|
override fun get(i: Int, j: Int): T = buffer[i * colNum + j]
|
||||||
|
@ -8,20 +8,19 @@ import scientifik.kmath.structures.MutableBufferFactory
|
|||||||
import scientifik.kmath.structures.NDStructure
|
import scientifik.kmath.structures.NDStructure
|
||||||
import scientifik.kmath.structures.get
|
import scientifik.kmath.structures.get
|
||||||
|
|
||||||
|
|
||||||
class LUPDecomposition<T : Comparable<T>>(
|
class LUPDecomposition<T : Comparable<T>>(
|
||||||
private val elementContext: Ring<T>,
|
private val elementContext: Ring<T>,
|
||||||
internal val lu: NDStructure<T>,
|
internal val lu: NDStructure<T>,
|
||||||
val pivot: IntArray,
|
val pivot: IntArray,
|
||||||
private val even: Boolean
|
private val even: Boolean
|
||||||
) : DeterminantFeature<T> {
|
) : LUPDecompositionFeature<T>, DeterminantFeature<T> {
|
||||||
|
|
||||||
/**
|
/**
|
||||||
* Returns the matrix L of the decomposition.
|
* Returns the matrix L of the decomposition.
|
||||||
*
|
*
|
||||||
* L is a lower-triangular matrix with [Ring.one] in diagonal
|
* L is a lower-triangular matrix with [Ring.one] in diagonal
|
||||||
*/
|
*/
|
||||||
val l: Matrix<T> = VirtualMatrix(lu.shape[0], lu.shape[1]) { i, j ->
|
override val l: Matrix<T> = VirtualMatrix(lu.shape[0], lu.shape[1], setOf(LFeature)) { i, j ->
|
||||||
when {
|
when {
|
||||||
j < i -> lu[i, j]
|
j < i -> lu[i, j]
|
||||||
j == i -> elementContext.one
|
j == i -> elementContext.one
|
||||||
@ -35,7 +34,7 @@ class LUPDecomposition<T : Comparable<T>>(
|
|||||||
*
|
*
|
||||||
* U is an upper-triangular matrix including the diagonal
|
* U is an upper-triangular matrix including the diagonal
|
||||||
*/
|
*/
|
||||||
val u: Matrix<T> = VirtualMatrix(lu.shape[0], lu.shape[1]) { i, j ->
|
override val u: Matrix<T> = VirtualMatrix(lu.shape[0], lu.shape[1], setOf(UFeature)) { i, j ->
|
||||||
if (j >= i) lu[i, j] else elementContext.zero
|
if (j >= i) lu[i, j] else elementContext.zero
|
||||||
}
|
}
|
||||||
|
|
||||||
@ -46,7 +45,7 @@ class LUPDecomposition<T : Comparable<T>>(
|
|||||||
* P is a sparse matrix with exactly one element set to [Ring.one] in
|
* P is a sparse matrix with exactly one element set to [Ring.one] in
|
||||||
* each row and each column, all other elements being set to [Ring.zero].
|
* each row and each column, all other elements being set to [Ring.zero].
|
||||||
*/
|
*/
|
||||||
val p: Matrix<T> = VirtualMatrix(lu.shape[0], lu.shape[1]) { i, j ->
|
override val p: Matrix<T> = VirtualMatrix(lu.shape[0], lu.shape[1]) { i, j ->
|
||||||
if (j == pivot[i]) elementContext.one else elementContext.zero
|
if (j == pivot[i]) elementContext.one else elementContext.zero
|
||||||
}
|
}
|
||||||
|
|
||||||
|
@ -107,26 +107,6 @@ interface GenericMatrixContext<T : Any, R : Ring<T>> : MatrixContext<T> {
|
|||||||
produce(rowNum, colNum) { i, j -> elementContext.run { get(i, j) * value } }
|
produce(rowNum, colNum) { i, j -> elementContext.run { get(i, j) * value } }
|
||||||
}
|
}
|
||||||
|
|
||||||
/**
|
|
||||||
* A marker interface representing some matrix feature like diagonal, sparce, zero, etc. Features used to optimize matrix
|
|
||||||
* operations performance in some cases.
|
|
||||||
*/
|
|
||||||
interface MatrixFeature
|
|
||||||
|
|
||||||
object DiagonalFeature : MatrixFeature
|
|
||||||
|
|
||||||
object ZeroFeature : MatrixFeature
|
|
||||||
|
|
||||||
object UnitFeature : MatrixFeature
|
|
||||||
|
|
||||||
interface InverseMatrixFeature<T : Any> : MatrixFeature {
|
|
||||||
val inverse: Matrix<T>
|
|
||||||
}
|
|
||||||
|
|
||||||
interface DeterminantFeature<T : Any> : MatrixFeature {
|
|
||||||
val determinant: T
|
|
||||||
}
|
|
||||||
|
|
||||||
/**
|
/**
|
||||||
* Specialized 2-d structure
|
* Specialized 2-d structure
|
||||||
*/
|
*/
|
||||||
@ -136,6 +116,14 @@ interface Matrix<T : Any> : NDStructure<T> {
|
|||||||
|
|
||||||
val features: Set<MatrixFeature>
|
val features: Set<MatrixFeature>
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Suggest new feature for this matrix. The result is the new matrix that may or may not reuse existing data structure.
|
||||||
|
*
|
||||||
|
* The implementation does not guarantee to check that matrix actually have the feature, so one should be careful to
|
||||||
|
* add only those features that are valid.
|
||||||
|
*/
|
||||||
|
fun suggestFeature(vararg features: MatrixFeature): Matrix<T>
|
||||||
|
|
||||||
operator fun get(i: Int, j: Int): T
|
operator fun get(i: Int, j: Int): T
|
||||||
|
|
||||||
override fun get(index: IntArray): T = get(index[0], index[1])
|
override fun get(index: IntArray): T = get(index[0], index[1])
|
||||||
@ -167,12 +155,22 @@ interface Matrix<T : Any> : NDStructure<T> {
|
|||||||
/**
|
/**
|
||||||
* Build a square matrix from given elements.
|
* Build a square matrix from given elements.
|
||||||
*/
|
*/
|
||||||
fun <T : Any> build(vararg elements: T): Matrix<T> {
|
fun <T : Any> square(vararg elements: T): Matrix<T> {
|
||||||
val size: Int = sqrt(elements.size.toDouble()).toInt()
|
val size: Int = sqrt(elements.size.toDouble()).toInt()
|
||||||
if (size * size != elements.size) error("The number of elements ${elements.size} is not a full square")
|
if (size * size != elements.size) error("The number of elements ${elements.size} is not a full square")
|
||||||
val buffer = elements.asBuffer()
|
val buffer = elements.asBuffer()
|
||||||
return BufferMatrix(size, size, buffer)
|
return BufferMatrix(size, size, buffer)
|
||||||
}
|
}
|
||||||
|
|
||||||
|
fun <T : Any> build(rows: Int, columns: Int): MatrixBuilder<T> = MatrixBuilder(rows, columns)
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
class MatrixBuilder<T : Any>(val rows: Int, val columns: Int) {
|
||||||
|
operator fun invoke(vararg elements: T): Matrix<T> {
|
||||||
|
if (rows * columns != elements.size) error("The number of elements ${elements.size} is not equal $rows * $columns")
|
||||||
|
val buffer = elements.asBuffer()
|
||||||
|
return BufferMatrix(rows, columns, buffer)
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
@ -0,0 +1,62 @@
|
|||||||
|
package scientifik.kmath.linear
|
||||||
|
|
||||||
|
/**
|
||||||
|
* A marker interface representing some matrix feature like diagonal, sparce, zero, etc. Features used to optimize matrix
|
||||||
|
* operations performance in some cases.
|
||||||
|
*/
|
||||||
|
interface MatrixFeature
|
||||||
|
|
||||||
|
/**
|
||||||
|
* The matrix with this feature is considered to have only diagonal non-null elements
|
||||||
|
*/
|
||||||
|
object DiagonalFeature : MatrixFeature
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Matrix with this feature has all zero elements
|
||||||
|
*/
|
||||||
|
object ZeroFeature : MatrixFeature
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Matrix with this feature have unit elements on diagonal and zero elements in all other places
|
||||||
|
*/
|
||||||
|
object UnitFeature : MatrixFeature
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Inverted matrix feature
|
||||||
|
*/
|
||||||
|
interface InverseMatrixFeature<T : Any> : MatrixFeature {
|
||||||
|
val inverse: Matrix<T>
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* A determinant container
|
||||||
|
*/
|
||||||
|
interface DeterminantFeature<T : Any> : MatrixFeature {
|
||||||
|
val determinant: T
|
||||||
|
}
|
||||||
|
|
||||||
|
@Suppress("FunctionName")
|
||||||
|
fun <T: Any> DeterminantFeature(determinant: T) = object: DeterminantFeature<T>{
|
||||||
|
override val determinant: T = determinant
|
||||||
|
}
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Lower triangular matrix
|
||||||
|
*/
|
||||||
|
object LFeature: MatrixFeature
|
||||||
|
|
||||||
|
/**
|
||||||
|
* Upper triangular feature
|
||||||
|
*/
|
||||||
|
object UFeature: MatrixFeature
|
||||||
|
|
||||||
|
/**
|
||||||
|
* TODO add documentation
|
||||||
|
*/
|
||||||
|
interface LUPDecompositionFeature<T : Any> : MatrixFeature {
|
||||||
|
val l: Matrix<T>
|
||||||
|
val u: Matrix<T>
|
||||||
|
val p: Matrix<T>
|
||||||
|
}
|
||||||
|
|
||||||
|
//TODO add sparse matrix feature
|
@ -8,6 +8,9 @@ class VirtualMatrix<T : Any>(
|
|||||||
) : Matrix<T> {
|
) : Matrix<T> {
|
||||||
override fun get(i: Int, j: Int): T = generator(i, j)
|
override fun get(i: Int, j: Int): T = generator(i, j)
|
||||||
|
|
||||||
|
override fun suggestFeature(vararg features: MatrixFeature) =
|
||||||
|
VirtualMatrix(rowNum, colNum, this.features + features, generator)
|
||||||
|
|
||||||
override fun equals(other: Any?): Boolean {
|
override fun equals(other: Any?): Boolean {
|
||||||
if (this === other) return true
|
if (this === other) return true
|
||||||
if (other !is Matrix<*>) return false
|
if (other !is Matrix<*>) return false
|
||||||
|
@ -15,6 +15,7 @@ class ShortNDRing(override val shape: IntArray) :
|
|||||||
override val zero by lazy { produce { ShortRing.zero } }
|
override val zero by lazy { produce { ShortRing.zero } }
|
||||||
override val one by lazy { produce { ShortRing.one } }
|
override val one by lazy { produce { ShortRing.one } }
|
||||||
|
|
||||||
|
@Suppress("OVERRIDE_BY_INLINE")
|
||||||
override inline fun buildBuffer(size: Int, crossinline initializer: (Int) -> Short): Buffer<Short> =
|
override inline fun buildBuffer(size: Int, crossinline initializer: (Int) -> Short): Buffer<Short> =
|
||||||
ShortBuffer(ShortArray(size) { initializer(it) })
|
ShortBuffer(ShortArray(size) { initializer(it) })
|
||||||
|
|
||||||
|
@ -41,4 +41,14 @@ class MatrixTest {
|
|||||||
assertEquals(5.0, product[1, 0])
|
assertEquals(5.0, product[1, 0])
|
||||||
assertEquals(6.0, product[2, 2])
|
assertEquals(6.0, product[2, 2])
|
||||||
}
|
}
|
||||||
|
|
||||||
|
@Test
|
||||||
|
fun testBuilder() {
|
||||||
|
val matrix = Matrix.build<Double>(2, 3)(
|
||||||
|
1.0, 0.0, 0.0,
|
||||||
|
0.0, 1.0, 2.0
|
||||||
|
)
|
||||||
|
|
||||||
|
assertEquals(2.0, matrix[1, 2])
|
||||||
|
}
|
||||||
}
|
}
|
@ -13,7 +13,7 @@ class RealLUSolverTest {
|
|||||||
|
|
||||||
@Test
|
@Test
|
||||||
fun testInvert() {
|
fun testInvert() {
|
||||||
val matrix = Matrix.build(
|
val matrix = Matrix.square(
|
||||||
3.0, 1.0,
|
3.0, 1.0,
|
||||||
1.0, 3.0
|
1.0, 3.0
|
||||||
)
|
)
|
||||||
@ -31,7 +31,7 @@ class RealLUSolverTest {
|
|||||||
|
|
||||||
val inverted = LUSolver.real.inverse(decomposed)
|
val inverted = LUSolver.real.inverse(decomposed)
|
||||||
|
|
||||||
val expected = Matrix.build(
|
val expected = Matrix.square(
|
||||||
0.375, -0.125,
|
0.375, -0.125,
|
||||||
-0.125, 0.375
|
-0.125, 0.375
|
||||||
)
|
)
|
||||||
|
@ -1,5 +1,5 @@
|
|||||||
plugins {
|
plugins {
|
||||||
id("kotlin-multiplatform")
|
kotlin("multiplatform")
|
||||||
}
|
}
|
||||||
|
|
||||||
repositories {
|
repositories {
|
||||||
@ -8,8 +8,12 @@ repositories {
|
|||||||
|
|
||||||
kotlin {
|
kotlin {
|
||||||
jvm {
|
jvm {
|
||||||
compilations["main"].kotlinOptions.jvmTarget = "1.8"
|
compilations.all {
|
||||||
compilations["test"].kotlinOptions.jvmTarget = "1.8"
|
kotlinOptions {
|
||||||
|
jvmTarget = "1.8"
|
||||||
|
freeCompilerArgs += "-progressive"
|
||||||
|
}
|
||||||
|
}
|
||||||
}
|
}
|
||||||
js()
|
js()
|
||||||
|
|
||||||
|
@ -48,10 +48,25 @@ class KomaMatrixContext<T : Any>(val factory: MatrixFactory<koma.matrix.Matrix<T
|
|||||||
KomaMatrix(a.toKoma().origin.inv())
|
KomaMatrix(a.toKoma().origin.inv())
|
||||||
}
|
}
|
||||||
|
|
||||||
inline class KomaMatrix<T : Any>(val origin: koma.matrix.Matrix<T>) : Matrix<T> {
|
class KomaMatrix<T : Any>(val origin: koma.matrix.Matrix<T>, features: Set<MatrixFeature>? = null) :
|
||||||
|
Matrix<T> {
|
||||||
override val rowNum: Int get() = origin.numRows()
|
override val rowNum: Int get() = origin.numRows()
|
||||||
override val colNum: Int get() = origin.numCols()
|
override val colNum: Int get() = origin.numCols()
|
||||||
override val features: Set<MatrixFeature> get() = emptySet()
|
|
||||||
|
override val features: Set<MatrixFeature> = features ?: setOf(
|
||||||
|
object : DeterminantFeature<T> {
|
||||||
|
override val determinant: T get() = origin.det()
|
||||||
|
},
|
||||||
|
object : LUPDecompositionFeature<T> {
|
||||||
|
private val lup by lazy { origin.LU() }
|
||||||
|
override val l: Matrix<T> get() = KomaMatrix(lup.second)
|
||||||
|
override val u: Matrix<T> get() = KomaMatrix(lup.third)
|
||||||
|
override val p: Matrix<T> get() = KomaMatrix(lup.first)
|
||||||
|
}
|
||||||
|
)
|
||||||
|
|
||||||
|
override fun suggestFeature(vararg features: MatrixFeature): Matrix<T> =
|
||||||
|
KomaMatrix(this.origin, this.features + features)
|
||||||
|
|
||||||
override fun get(i: Int, j: Int): T = origin.getGeneric(i, j)
|
override fun get(i: Int, j: Int): T = origin.getGeneric(i, j)
|
||||||
}
|
}
|
||||||
|
@ -2,7 +2,7 @@ pluginManagement {
|
|||||||
repositories {
|
repositories {
|
||||||
mavenCentral()
|
mavenCentral()
|
||||||
maven("https://plugins.gradle.org/m2/")
|
maven("https://plugins.gradle.org/m2/")
|
||||||
maven ("https://dl.bintray.com/kotlin/kotlin-eap")
|
//maven ("https://dl.bintray.com/kotlin/kotlin-eap")
|
||||||
}
|
}
|
||||||
}
|
}
|
||||||
|
|
||||||
|
Loading…
Reference in New Issue
Block a user