kmath-ejml/build.gradle.kts

@@ -1,5 +1,5 @@
 plugins {
-    id("scientifik.jvm")
+    id("ru.mipt.npm.jvm")
 }
 
 dependencies {

kmath-ejml/src/main/kotlin/kscience/kmath/ejml/EjmlMatrix.kt

@@ -1,29 +1,29 @@
-package scientifik.kmath.ejml
+package kscience.kmath.ejml
 
 import org.ejml.dense.row.factory.DecompositionFactory_DDRM
 import org.ejml.simple.SimpleMatrix
-import scientifik.kmath.linear.DeterminantFeature
-import scientifik.kmath.linear.FeaturedMatrix
-import scientifik.kmath.linear.LUPDecompositionFeature
-import scientifik.kmath.linear.MatrixFeature
-import scientifik.kmath.structures.NDStructure
+import kscience.kmath.linear.DeterminantFeature
+import kscience.kmath.linear.FeaturedMatrix
+import kscience.kmath.linear.LUPDecompositionFeature
+import kscience.kmath.linear.MatrixFeature
+import kscience.kmath.structures.NDStructure
 
 /**
  * Represents featured matrix over EJML [SimpleMatrix].
  *
  * @property origin the underlying [SimpleMatrix].
  */
-class EjmlMatrix(val origin: SimpleMatrix, features: Set<MatrixFeature>? = null) : FeaturedMatrix<Double> {
-    override val rowNum: Int
+public class EjmlMatrix(public val origin: SimpleMatrix, features: Set<MatrixFeature>? = null) : FeaturedMatrix<Double> {
+    public override val rowNum: Int
         get() = origin.numRows()
 
-    override val colNum: Int
+    public override val colNum: Int
         get() = origin.numCols()
 
-    override val shape: IntArray
+    public override val shape: IntArray
         get() = intArrayOf(origin.numRows(), origin.numCols())
 
-    override val features: Set<MatrixFeature> = setOf(
+    public override val features: Set<MatrixFeature> = setOf(
         object : LUPDecompositionFeature<Double>, DeterminantFeature<Double> {
             override val determinant: Double
                 get() = origin.determinant()
@@ -50,21 +50,21 @@ class EjmlMatrix(val origin: SimpleMatrix, features: Set<MatrixFeature>? = null)
         }
     ) union features.orEmpty()
 
-    override fun suggestFeature(vararg features: MatrixFeature): FeaturedMatrix<Double> =
+    public override fun suggestFeature(vararg features: MatrixFeature): FeaturedMatrix<Double> =
         EjmlMatrix(origin, this.features + features)
 
-    override operator fun get(i: Int, j: Int): Double = origin[i, j]
+    public override operator fun get(i: Int, j: Int): Double = origin[i, j]
 
-    override fun equals(other: Any?): Boolean {
+    public override fun equals(other: Any?): Boolean {
         if (other is EjmlMatrix) return origin.isIdentical(other.origin, 0.0)
         return NDStructure.equals(this, other as? NDStructure<*> ?: return false)
     }
 
-    override fun hashCode(): Int {
+    public override fun hashCode(): Int {
         var result = origin.hashCode()
         result = 31 * result + features.hashCode()
         return result
     }
 
-    override fun toString(): String = "EjmlMatrix(origin=$origin, features=$features)"
+    public override fun toString(): String = "EjmlMatrix(origin=$origin, features=$features)"
 }

kmath-ejml/src/main/kotlin/kscience/kmath/ejml/EjmlMatrixContext.kt

@@ -1,26 +1,26 @@
-package scientifik.kmath.ejml
+package kscience.kmath.ejml
 
 import org.ejml.simple.SimpleMatrix
-import scientifik.kmath.linear.MatrixContext
-import scientifik.kmath.linear.Point
-import scientifik.kmath.operations.Space
-import scientifik.kmath.operations.invoke
-import scientifik.kmath.structures.Matrix
+import kscience.kmath.linear.MatrixContext
+import kscience.kmath.linear.Point
+import kscience.kmath.operations.Space
+import kscience.kmath.operations.invoke
+import kscience.kmath.structures.Matrix
 
 /**
  * Represents context of basic operations operating with [EjmlMatrix].
  */
-class EjmlMatrixContext(private val space: Space<Double>) : MatrixContext<Double> {
+public class EjmlMatrixContext(private val space: Space<Double>) : MatrixContext<Double> {
     /**
      * Converts this matrix to EJML one.
      */
-    fun Matrix<Double>.toEjml(): EjmlMatrix =
+    public fun Matrix<Double>.toEjml(): EjmlMatrix =
         if (this is EjmlMatrix) this else produce(rowNum, colNum) { i, j -> get(i, j) }
 
     /**
      * Converts this vector to EJML one.
      */
-    fun Point<Double>.toEjml(): EjmlVector =
+    public fun Point<Double>.toEjml(): EjmlVector =
         if (this is EjmlVector) this else EjmlVector(SimpleMatrix(size, 1).also {
             (0 until it.numRows()).forEach { row -> it[row, 0] = get(row) }
         })
@@ -49,7 +49,7 @@ class EjmlMatrixContext(private val space: Space<Double>) : MatrixContext<Double
 
     override operator fun Matrix<Double>.times(value: Double): EjmlMatrix = EjmlMatrix(toEjml().origin.scale(value))
 
-    companion object
+    public companion object
 }
 
 /**
@@ -59,7 +59,7 @@ class EjmlMatrixContext(private val space: Space<Double>) : MatrixContext<Double
  * @param b n by p matrix.
  * @return the solution for 'x' that is n by p.
  */
-fun EjmlMatrixContext.solve(a: Matrix<Double>, b: Matrix<Double>): EjmlMatrix =
+public fun EjmlMatrixContext.solve(a: Matrix<Double>, b: Matrix<Double>): EjmlMatrix =
     EjmlMatrix(a.toEjml().origin.solve(b.toEjml().origin))
 
 /**
@@ -69,7 +69,7 @@ fun EjmlMatrixContext.solve(a: Matrix<Double>, b: Matrix<Double>): EjmlMatrix =
  * @param b n by p vector.
  * @return the solution for 'x' that is n by p.
  */
-fun EjmlMatrixContext.solve(a: Matrix<Double>, b: Point<Double>): EjmlVector =
+public fun EjmlMatrixContext.solve(a: Matrix<Double>, b: Point<Double>): EjmlVector =
     EjmlVector(a.toEjml().origin.solve(b.toEjml().origin))
 
 /**
@@ -78,4 +78,4 @@ fun EjmlMatrixContext.solve(a: Matrix<Double>, b: Point<Double>): EjmlVector =
  * @param a the matrix.
  * @return the inverse of this matrix.
  */
-fun EjmlMatrixContext.inverse(a: Matrix<Double>): EjmlMatrix = EjmlMatrix(a.toEjml().origin.invert())
+public fun EjmlMatrixContext.inverse(a: Matrix<Double>): EjmlMatrix = EjmlMatrix(a.toEjml().origin.invert())

kmath-ejml/src/main/kotlin/kscience/kmath/ejml/EjmlVector.kt

@@ -1,8 +1,8 @@
-package scientifik.kmath.ejml
+package kscience.kmath.ejml
 
 import org.ejml.simple.SimpleMatrix
-import scientifik.kmath.linear.Point
-import scientifik.kmath.structures.Buffer
+import kscience.kmath.linear.Point
+import kscience.kmath.structures.Buffer
 
 /**
  * Represents point over EJML [SimpleMatrix].