Add proper equality check for EJML matrices

This commit is contained in:
Alexander Nozik 2021-01-19 22:48:43 +03:00
parent d0c9d97706
commit 1c7bd05c58
4 changed files with 19 additions and 8 deletions

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@ -43,7 +43,7 @@ public class BufferMatrix<T : Any>(
if (this === other) return true if (this === other) return true
return when (other) { return when (other) {
is NDStructure<*> -> NDStructure.equals(this, other) is NDStructure<*> -> NDStructure.contentEquals(this, other)
else -> false else -> false
} }
} }

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@ -54,7 +54,7 @@ public interface NDStructure<T> {
/** /**
* Indicates whether some [NDStructure] is equal to another one. * Indicates whether some [NDStructure] is equal to another one.
*/ */
public fun equals(st1: NDStructure<*>, st2: NDStructure<*>): Boolean { public fun contentEquals(st1: NDStructure<*>, st2: NDStructure<*>): Boolean {
if (st1 === st2) return true if (st1 === st2) return true
// fast comparison of buffers if possible // fast comparison of buffers if possible
@ -275,7 +275,7 @@ public abstract class NDBuffer<T> : NDStructure<T> {
override fun elements(): Sequence<Pair<IntArray, T>> = strides.indices().map { it to this[it] } override fun elements(): Sequence<Pair<IntArray, T>> = strides.indices().map { it to this[it] }
override fun equals(other: Any?): Boolean { override fun equals(other: Any?): Boolean {
return NDStructure.equals(this, other as? NDStructure<*> ?: return false) return NDStructure.contentEquals(this, other as? NDStructure<*> ?: return false)
} }
override fun hashCode(): Int { override fun hashCode(): Int {

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@ -24,7 +24,7 @@ public class LazyNDStructure<T>(
} }
public override fun equals(other: Any?): Boolean { public override fun equals(other: Any?): Boolean {
return NDStructure.equals(this, other as? NDStructure<*> ?: return false) return NDStructure.contentEquals(this, other as? NDStructure<*> ?: return false)
} }
public override fun hashCode(): Int { public override fun hashCode(): Int {

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@ -3,6 +3,7 @@ package kscience.kmath.ejml
import kscience.kmath.linear.* import kscience.kmath.linear.*
import kscience.kmath.misc.UnstableKMathAPI import kscience.kmath.misc.UnstableKMathAPI
import kscience.kmath.structures.Matrix import kscience.kmath.structures.Matrix
import kscience.kmath.structures.NDStructure
import kscience.kmath.structures.RealBuffer import kscience.kmath.structures.RealBuffer
import org.ejml.dense.row.factory.DecompositionFactory_DDRM import org.ejml.dense.row.factory.DecompositionFactory_DDRM
import org.ejml.simple.SimpleMatrix import org.ejml.simple.SimpleMatrix
@ -15,7 +16,7 @@ import kotlin.reflect.cast
* @property origin the underlying [SimpleMatrix]. * @property origin the underlying [SimpleMatrix].
* @author Iaroslav Postovalov * @author Iaroslav Postovalov
*/ */
public inline class EjmlMatrix( public class EjmlMatrix(
public val origin: SimpleMatrix, public val origin: SimpleMatrix,
) : Matrix<Double> { ) : Matrix<Double> {
public override val rowNum: Int get() = origin.numRows() public override val rowNum: Int get() = origin.numRows()
@ -49,7 +50,7 @@ public inline class EjmlMatrix(
override val q: Matrix<Double> by lazy { EjmlMatrix(SimpleMatrix(qr.getQ(null, false))) } override val q: Matrix<Double> by lazy { EjmlMatrix(SimpleMatrix(qr.getQ(null, false))) }
override val r: Matrix<Double> by lazy { EjmlMatrix(SimpleMatrix(qr.getR(null, false))) } override val r: Matrix<Double> by lazy { EjmlMatrix(SimpleMatrix(qr.getR(null, false))) }
} }
CholeskyDecompositionFeature::class -> object : CholeskyDecompositionFeature<Double> { CholeskyDecompositionFeature::class -> object : CholeskyDecompositionFeature<Double> {
override val l: Matrix<Double> by lazy { override val l: Matrix<Double> by lazy {
val cholesky = val cholesky =
DecompositionFactory_DDRM.chol(rowNum, true).apply { decompose(origin.ddrm.copy()) } DecompositionFactory_DDRM.chol(rowNum, true).apply { decompose(origin.ddrm.copy()) }
@ -57,7 +58,7 @@ public inline class EjmlMatrix(
EjmlMatrix(SimpleMatrix(cholesky.getT(null))) + LFeature EjmlMatrix(SimpleMatrix(cholesky.getT(null))) + LFeature
} }
} }
LupDecompositionFeature::class -> object : LupDecompositionFeature<Double> { LupDecompositionFeature::class -> object : LupDecompositionFeature<Double> {
private val lup by lazy { private val lup by lazy {
DecompositionFactory_DDRM.lu(origin.numRows(), origin.numCols()).apply { decompose(origin.ddrm.copy()) } DecompositionFactory_DDRM.lu(origin.numRows(), origin.numCols()).apply { decompose(origin.ddrm.copy()) }
} }
@ -73,7 +74,17 @@ public inline class EjmlMatrix(
override val p: Matrix<Double> by lazy { EjmlMatrix(SimpleMatrix(lup.getRowPivot(null))) } override val p: Matrix<Double> by lazy { EjmlMatrix(SimpleMatrix(lup.getRowPivot(null))) }
} }
else -> null else -> null
}?.let{type.cast(it)} }?.let { type.cast(it) }
public 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 {
if (this === other) return true
if (other !is Matrix<*>) return false
return NDStructure.contentEquals(this, other)
}
override fun hashCode(): Int = origin.hashCode()
} }