Fix vector product

.gitignore

@@ -18,4 +18,5 @@ out/
 
 !/.idea/copyright/
 !/.idea/scopes/
-/kotlin-js-store/yarn.lock
+/gradle/yarn.lock
+

CHANGELOG.md

@@ -2,6 +2,7 @@
 
 ## [Unreleased]
 ### Added
+- Generic builders for `BufferND` and `MutableBufferND`
 - `NamedMatrix` - matrix with symbol-based indexing
 - `Expression` with default arguments
 - Type-aliases for numbers like `Float64`

examples/build.gradle.kts

@@ -55,17 +55,19 @@ dependencies {
     implementation("space.kscience:plotlykt-server:0.5.0")
 }
 
-kotlin.sourceSets.all {
+kotlin {
+    jvmToolchain(11)
+    sourceSets.all {
         with(languageSettings) {
             optIn("kotlin.contracts.ExperimentalContracts")
             optIn("kotlin.ExperimentalUnsignedTypes")
             optIn("space.kscience.kmath.misc.UnstableKMathAPI")
         }
+    }
 }
 
 tasks.withType<KotlinJvmCompile> {
     kotlinOptions {
-        jvmTarget = "11"
         freeCompilerArgs = freeCompilerArgs + "-Xjvm-default=all" + "-Xopt-in=kotlin.RequiresOptIn" + "-Xlambdas=indy"
     }
 }

gradle.properties

@@ -9,7 +9,7 @@ kotlin.native.ignoreDisabledTargets=true
 org.gradle.configureondemand=true
 org.gradle.jvmargs=-Xmx4096m
 
-toolsVersion=0.14.3-kotlin-1.8.20-RC
+toolsVersion=0.14.4-kotlin-1.8.20-RC
 
 
 org.gradle.parallel=true

kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferND.kt

@@ -7,7 +7,9 @@ package space.kscience.kmath.nd
 
 import space.kscience.kmath.misc.PerformancePitfall
 import space.kscience.kmath.structures.Buffer
+import space.kscience.kmath.structures.BufferFactory
 import space.kscience.kmath.structures.MutableBuffer
+import space.kscience.kmath.structures.MutableBufferFactory
 
 /**
  * Represents [StructureND] over [Buffer].
@@ -29,6 +31,18 @@ public open class BufferND<out T>(
     override fun toString(): String = StructureND.toString(this)
 }
 
+/**
+ * Create a generic [BufferND] using provided [initializer]
+ */
+public fun <T> BufferND(
+    shape: ShapeND,
+    bufferFactory: BufferFactory<T> = BufferFactory.boxing(),
+    initializer: (IntArray) -> T,
+): BufferND<T> {
+    val strides = Strides(shape)
+    return BufferND(strides, bufferFactory(strides.linearSize) { initializer(strides.index(it)) })
+}
+
 ///**
 // * Transform structure to a new structure using provided [BufferFactory] and optimizing if argument is [BufferND]
 // */
@@ -67,6 +81,18 @@ public open class MutableBufferND<T>(
     }
 }
 
+/**
+ * Create a generic [BufferND] using provided [initializer]
+ */
+public fun <T> MutableBufferND(
+    shape: ShapeND,
+    bufferFactory: MutableBufferFactory<T> = MutableBufferFactory.boxing(),
+    initializer: (IntArray) -> T,
+): MutableBufferND<T> {
+    val strides = Strides(shape)
+    return MutableBufferND(strides, bufferFactory(strides.linearSize) { initializer(strides.index(it)) })
+}
+
 ///**
 // * Transform structure to a new structure using provided [MutableBufferFactory] and optimizing if argument is [MutableBufferND]
 // */

kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/GaussIntegratorRuleFactory.kt

@@ -9,7 +9,6 @@ import space.kscience.kmath.operations.mapToBuffer
 import space.kscience.kmath.structures.Buffer
 import space.kscience.kmath.structures.DoubleBuffer
 import space.kscience.kmath.structures.asBuffer
-import kotlin.jvm.Synchronized
 import kotlin.math.ulp
 import kotlin.native.concurrent.ThreadLocal
 
@@ -57,7 +56,6 @@ public object GaussLegendreRuleFactory : GaussIntegratorRuleFactory {
 
     private val cache = HashMap<Int, Pair<Buffer<Double>, Buffer<Double>>>()
 
-    @Synchronized
     private fun getOrBuildRule(numPoints: Int): Pair<Buffer<Double>, Buffer<Double>> =
         cache.getOrPut(numPoints) { buildRule(numPoints) }
 

kmath-geometry/src/commonMain/kotlin/space/kscience/kmath/geometry/Euclidean3DSpace.kt

@@ -117,13 +117,11 @@ public object Euclidean3DSpace : GeometrySpace<DoubleVector3D>, ScaleOperations<
     }
 
     /**
-     * Compute vector product of [first] and [second]. The basis assumed to be right-handed if [rightBasis] is true and
+     * Compute vector product of [first] and [second]. The basis assumed to be right-handed.
-     * left-handed otherwise
      */
     public fun vectorProduct(
         first: DoubleVector3D,
         second: DoubleVector3D,
-        rightBasis: Boolean = true,
     ): DoubleVector3D {
         var x = 0.0
         var y = 0.0
@@ -137,7 +135,7 @@ public object Euclidean3DSpace : GeometrySpace<DoubleVector3D>, ScaleOperations<
             }
         }
 
-        return vector(x, y, z) * (if (rightBasis) 1 else -1)
+        return vector(x, y, z)
     }
 
     /**

kmath-geometry/src/commonTest/kotlin/space/kscience/kmath/geometry/Euclidean3DSpaceTest.kt

@@ -78,7 +78,6 @@ internal class Euclidean3DSpaceTest {
         assertVectorEquals(zAxis, vectorProduct(xAxis, yAxis))
         assertVectorEquals(zAxis, xAxis cross yAxis)
         assertVectorEquals(-zAxis, vectorProduct(yAxis, xAxis))
-        assertVectorEquals(zAxis, vectorProduct(yAxis, xAxis, rightBasis = false))
     }
 
     @Test