forked from kscience/kmath
Introduce PerformancePitfall annotation
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97c4b81717
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f5289abdc3
@ -674,6 +674,9 @@ public final class space/kscience/kmath/misc/CumulativeKt {
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public static final fun cumulativeSumOfLong (Lkotlin/sequences/Sequence;)Lkotlin/sequences/Sequence;
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public static final fun cumulativeSumOfLong (Lkotlin/sequences/Sequence;)Lkotlin/sequences/Sequence;
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}
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}
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public abstract interface annotation class space/kscience/kmath/misc/PerformancePitfall : java/lang/annotation/Annotation {
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}
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public final class space/kscience/kmath/misc/StringSymbol : space/kscience/kmath/misc/Symbol {
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public final class space/kscience/kmath/misc/StringSymbol : space/kscience/kmath/misc/Symbol {
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public static final synthetic fun box-impl (Ljava/lang/String;)Lspace/kscience/kmath/misc/StringSymbol;
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public static final synthetic fun box-impl (Ljava/lang/String;)Lspace/kscience/kmath/misc/StringSymbol;
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public static fun constructor-impl (Ljava/lang/String;)Ljava/lang/String;
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public static fun constructor-impl (Ljava/lang/String;)Ljava/lang/String;
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@ -59,6 +59,7 @@ public interface Structure2D<T> : StructureND<T> {
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return get(index[0], index[1])
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return get(index[0], index[1])
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}
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}
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@PerformancePitfall
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override fun elements(): Sequence<Pair<IntArray, T>> = sequence {
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override fun elements(): Sequence<Pair<IntArray, T>> = sequence {
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for (i in 0 until rowNum)
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for (i in 0 until rowNum)
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for (j in 0 until colNum) yield(intArrayOf(i, j) to get(i, j))
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for (j in 0 until colNum) yield(intArrayOf(i, j) to get(i, j))
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@ -134,6 +135,7 @@ private class MutableStructure2DWrapper<T>(val structure: MutableStructureND<T>)
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structure[intArrayOf(i, j)] = value
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structure[intArrayOf(i, j)] = value
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}
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}
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@PerformancePitfall
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override fun elements(): Sequence<Pair<IntArray, T>> = structure.elements()
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override fun elements(): Sequence<Pair<IntArray, T>> = structure.elements()
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override fun equals(other: Any?): Boolean = false
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override fun equals(other: Any?): Boolean = false
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@ -7,16 +7,14 @@ package space.kscience.kmath.geometry
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import space.kscience.kmath.linear.Point
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import space.kscience.kmath.linear.Point
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import space.kscience.kmath.misc.UnstableKMathAPI
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import space.kscience.kmath.misc.UnstableKMathAPI
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import space.kscience.kmath.operations.GroupElement
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import space.kscience.kmath.operations.ScaleOperations
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import space.kscience.kmath.operations.ScaleOperations
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import space.kscience.kmath.operations.invoke
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import space.kscience.kmath.operations.invoke
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import kotlin.math.sqrt
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import kotlin.math.sqrt
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@OptIn(UnstableKMathAPI::class)
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@OptIn(UnstableKMathAPI::class)
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public interface Vector2D : Point<Double>, Vector, GroupElement<Vector2D, Euclidean2DSpace> {
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public interface Vector2D : Point<Double>, Vector{
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public val x: Double
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public val x: Double
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public val y: Double
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public val y: Double
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public override val context: Euclidean2DSpace get() = Euclidean2DSpace
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public override val size: Int get() = 2
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public override val size: Int get() = 2
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public override operator fun get(index: Int): Double = when (index) {
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public override operator fun get(index: Int): Double = when (index) {
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@ -7,17 +7,15 @@ package space.kscience.kmath.geometry
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import space.kscience.kmath.linear.Point
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import space.kscience.kmath.linear.Point
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import space.kscience.kmath.misc.UnstableKMathAPI
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import space.kscience.kmath.misc.UnstableKMathAPI
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import space.kscience.kmath.operations.GroupElement
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import space.kscience.kmath.operations.ScaleOperations
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import space.kscience.kmath.operations.ScaleOperations
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import space.kscience.kmath.operations.invoke
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import space.kscience.kmath.operations.invoke
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import kotlin.math.sqrt
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import kotlin.math.sqrt
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@OptIn(UnstableKMathAPI::class)
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@OptIn(UnstableKMathAPI::class)
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public interface Vector3D : Point<Double>, Vector, GroupElement<Vector3D, Euclidean3DSpace> {
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public interface Vector3D : Point<Double>, Vector {
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public val x: Double
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public val x: Double
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public val y: Double
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public val y: Double
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public val z: Double
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public val z: Double
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public override val context: Euclidean3DSpace get() = Euclidean3DSpace
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public override val size: Int get() = 3
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public override val size: Int get() = 3
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public override operator fun get(index: Int): Double = when (index) {
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public override operator fun get(index: Int): Double = when (index) {
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@ -12,7 +12,6 @@ import space.kscience.kmath.nd.FieldND
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import space.kscience.kmath.nd.Strides
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import space.kscience.kmath.nd.Strides
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import space.kscience.kmath.nd.StructureND
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import space.kscience.kmath.nd.StructureND
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import space.kscience.kmath.operations.Group
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import space.kscience.kmath.operations.Group
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import space.kscience.kmath.operations.GroupElement
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import space.kscience.kmath.operations.ScaleOperations
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import space.kscience.kmath.operations.ScaleOperations
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import space.kscience.kmath.operations.invoke
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import space.kscience.kmath.operations.invoke
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@ -26,9 +25,9 @@ public data class DomainBin<T : Comparable<T>>(
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@OptIn(UnstableKMathAPI::class)
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@OptIn(UnstableKMathAPI::class)
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public class IndexedHistogram<T : Comparable<T>, V : Any>(
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public class IndexedHistogram<T : Comparable<T>, V : Any>(
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override val context: IndexedHistogramSpace<T, V>,
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public val context: IndexedHistogramSpace<T, V>,
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public val values: StructureND<V>,
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public val values: StructureND<V>,
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) : Histogram<T, Bin<T>>, GroupElement<IndexedHistogram<T, V>, IndexedHistogramSpace<T, V>> {
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) : Histogram<T, Bin<T>> {
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override fun get(point: Point<T>): Bin<T>? {
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override fun get(point: Point<T>): Bin<T>? {
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val index = context.getIndex(point) ?: return null
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val index = context.getIndex(point) ?: return null
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@ -10,6 +10,7 @@ import org.nd4j.linalg.api.ops.impl.scalar.Pow
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import org.nd4j.linalg.api.ops.impl.transforms.strict.*
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import org.nd4j.linalg.api.ops.impl.transforms.strict.*
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import org.nd4j.linalg.factory.Nd4j
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import org.nd4j.linalg.factory.Nd4j
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import org.nd4j.linalg.ops.transforms.Transforms
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import org.nd4j.linalg.ops.transforms.Transforms
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import space.kscience.kmath.misc.PerformancePitfall
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import space.kscience.kmath.misc.UnstableKMathAPI
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import space.kscience.kmath.misc.UnstableKMathAPI
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import space.kscience.kmath.nd.*
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import space.kscience.kmath.nd.*
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import space.kscience.kmath.operations.*
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import space.kscience.kmath.operations.*
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@ -52,6 +53,7 @@ public interface Nd4jArrayAlgebra<T, C : Algebra<T>> : AlgebraND<T, C> {
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return struct
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return struct
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}
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}
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@PerformancePitfall
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public override fun StructureND<T>.map(transform: C.(T) -> T): Nd4jArrayStructure<T> {
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public override fun StructureND<T>.map(transform: C.(T) -> T): Nd4jArrayStructure<T> {
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val newStruct = ndArray.dup().wrap()
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val newStruct = ndArray.dup().wrap()
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newStruct.elements().forEach { (idx, value) -> newStruct[idx] = elementContext.transform(value) }
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newStruct.elements().forEach { (idx, value) -> newStruct[idx] = elementContext.transform(value) }
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@ -6,6 +6,7 @@
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package space.kscience.kmath.nd4j
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package space.kscience.kmath.nd4j
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import org.nd4j.linalg.factory.Nd4j
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import org.nd4j.linalg.factory.Nd4j
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import space.kscience.kmath.misc.PerformancePitfall
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import space.kscience.kmath.nd.StructureND
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import space.kscience.kmath.nd.StructureND
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import space.kscience.kmath.operations.invoke
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import space.kscience.kmath.operations.invoke
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import kotlin.math.PI
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import kotlin.math.PI
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@ -14,6 +15,7 @@ import kotlin.test.assertEquals
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import kotlin.test.assertTrue
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import kotlin.test.assertTrue
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import kotlin.test.fail
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import kotlin.test.fail
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@OptIn(PerformancePitfall::class)
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internal class Nd4jArrayAlgebraTest {
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internal class Nd4jArrayAlgebraTest {
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@Test
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@Test
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fun testProduce() {
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fun testProduce() {
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@ -28,7 +30,7 @@ internal class Nd4jArrayAlgebraTest {
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@Test
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@Test
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fun testMap() {
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fun testMap() {
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val res = with(IntNd4jArrayRing(intArrayOf(2, 2))) { one.map() { it + it * 2 } }
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val res = with(IntNd4jArrayRing(intArrayOf(2, 2))) { one.map { it + it * 2 } }
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val expected = (Nd4j.create(2, 2) ?: fail()).asIntStructure()
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val expected = (Nd4j.create(2, 2) ?: fail()).asIntStructure()
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expected[intArrayOf(0, 0)] = 3
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expected[intArrayOf(0, 0)] = 3
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expected[intArrayOf(0, 1)] = 3
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expected[intArrayOf(0, 1)] = 3
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@ -6,6 +6,7 @@
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package space.kscience.kmath.nd4j
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package space.kscience.kmath.nd4j
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import org.nd4j.linalg.factory.Nd4j
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import org.nd4j.linalg.factory.Nd4j
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import space.kscience.kmath.misc.PerformancePitfall
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import space.kscience.kmath.nd.get
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import space.kscience.kmath.nd.get
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import kotlin.test.Test
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import kotlin.test.Test
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import kotlin.test.assertEquals
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import kotlin.test.assertEquals
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@ -13,6 +14,7 @@ import kotlin.test.assertNotEquals
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import kotlin.test.fail
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import kotlin.test.fail
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internal class Nd4jArrayStructureTest {
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internal class Nd4jArrayStructureTest {
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@OptIn(PerformancePitfall::class)
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@Test
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@Test
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fun testElements() {
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fun testElements() {
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val nd = Nd4j.create(doubleArrayOf(1.0, 2.0, 3.0))!!
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val nd = Nd4j.create(doubleArrayOf(1.0, 2.0, 3.0))!!
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@ -1,5 +1,6 @@
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package space.kscience.kmath.tensors.core
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package space.kscience.kmath.tensors.core
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import space.kscience.kmath.misc.PerformancePitfall
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import space.kscience.kmath.nd.DefaultStrides
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import space.kscience.kmath.nd.DefaultStrides
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import space.kscience.kmath.nd.MutableBufferND
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import space.kscience.kmath.nd.MutableBufferND
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import space.kscience.kmath.nd.as1D
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import space.kscience.kmath.nd.as1D
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@ -24,6 +25,7 @@ internal class TestDoubleTensor {
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assertEquals(tensor.value(), value)
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assertEquals(tensor.value(), value)
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}
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}
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@OptIn(PerformancePitfall::class)
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@Test
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@Test
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fun testStrides() = DoubleTensorAlgebra {
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fun testStrides() = DoubleTensorAlgebra {
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val tensor = fromArray(intArrayOf(2, 2), doubleArrayOf(3.5, 5.8, 58.4, 2.4))
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val tensor = fromArray(intArrayOf(2, 2), doubleArrayOf(3.5, 5.8, 58.4, 2.4))
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