Dev merge assemble fixed, tests still broken

kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/LinearOpsTensorAlgebra.kt

@@ -32,7 +32,7 @@ public interface LinearOpsTensorAlgebra<T, TensorType : TensorStructure<T>> :
     public fun TensorType.lu(): Pair<TensorType, IntTensor>
 
     //https://pytorch.org/docs/stable/generated/torch.lu_unpack.html
-    public fun luPivot(aLU: TensorType, pivots: IntTensor): Triple<TensorType, TensorType, TensorType>
+    public fun luPivot(lu: TensorType, pivots: IntTensor): Triple<TensorType, TensorType, TensorType>
 
     //https://pytorch.org/docs/stable/linalg.html#torch.linalg.svd
     public fun TensorType.svd(): Triple<TensorType, TensorType, TensorType>

kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/RealAnalyticTensorAlgebra.kt

@@ -144,5 +144,7 @@ public class RealAnalyticTensorAlgebra:
         TODO("Not yet implemented")
     }
 
-
 }
+
+public inline fun <R> RealAnalyticTensorAlgebra(block: RealTensorAlgebra.() -> R): R =
+    RealAnalyticTensorAlgebra().block()

kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/RealLinearOpsTensorAlgebra.kt

@@ -1,6 +1,7 @@
 package space.kscience.kmath.tensors
 
-import space.kscience.kmath.structures.array
+import space.kscience.kmath.structures.toDoubleArray
+import space.kscience.kmath.structures.toIntArray
 
 public class RealLinearOpsTensorAlgebra :
     LinearOpsTensorAlgebra<Double, RealTensor>,
@@ -80,7 +81,7 @@ public class RealLinearOpsTensorAlgebra :
         // todo checks
         val n = lu.shape[0]
         val p = lu.zeroesLike()
-        pivots.buffer.array.forEachIndexed { i, pivot ->
+        pivots.buffer.toIntArray().forEachIndexed { i, pivot ->
             p[i, pivot] = 1.0
         }
         val l = lu.zeroesLike()
@@ -130,4 +131,4 @@ public class RealLinearOpsTensorAlgebra :
 }
 
 public inline fun <R> RealLinearOpsTensorAlgebra(block: RealTensorAlgebra.() -> R): R =
-    RealTensorAlgebra().block()
+    RealLinearOpsTensorAlgebra().block()

kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/RealTensorAlgebra.kt

@@ -1,6 +1,6 @@
 package space.kscience.kmath.tensors
 
-import space.kscience.kmath.structures.array
+import space.kscience.kmath.structures.toDoubleArray
 
 
 public open class RealTensorAlgebra : TensorPartialDivisionAlgebra<Double, RealTensor> {
@@ -9,7 +9,7 @@ public open class RealTensorAlgebra : TensorPartialDivisionAlgebra<Double, RealT
         check(this.shape contentEquals intArrayOf(1)) {
             "Inconsistent value for tensor of shape ${shape.toList()}"
         }
-        return this.buffer.array[0]
+        return this.buffer.toDoubleArray()[0]
     }
 
     override fun zeros(shape: IntArray): RealTensor {
@@ -32,13 +32,13 @@ public open class RealTensorAlgebra : TensorPartialDivisionAlgebra<Double, RealT
 
     override fun RealTensor.copy(): RealTensor {
         // should be rework as soon as copy() method for NDBuffer will be available
-        return RealTensor(this.shape, this.buffer.array.copyOf())
+        return RealTensor(this.shape, this.buffer.toDoubleArray().copyOf())
     }
 
 
     override fun Double.plus(other: RealTensor): RealTensor {
         val resBuffer = DoubleArray(other.buffer.size) { i ->
-            other.buffer.array[i] + this
+            other.buffer.toDoubleArray()[i] + this
         }
         return RealTensor(other.shape, resBuffer)
     }
@@ -50,34 +50,34 @@ public open class RealTensorAlgebra : TensorPartialDivisionAlgebra<Double, RealT
         val newThis = broadcast[0]
         val newOther = broadcast[1]
         val resBuffer = DoubleArray(newThis.buffer.size) { i ->
-            newThis.buffer.array[i] + newOther.buffer.array[i]
+            newThis.buffer.toDoubleArray()[i] + newOther.buffer.toDoubleArray()[i]
         }
         return RealTensor(newThis.shape, resBuffer)
     }
 
     override fun RealTensor.plusAssign(value: Double) {
-        for (i in this.buffer.array.indices) {
+        for (i in this.buffer.toDoubleArray().indices) {
-            this.buffer.array[i] += value
+            this.buffer.toDoubleArray()[i] += value
         }
     }
 
     override fun RealTensor.plusAssign(other: RealTensor) {
         //todo should be change with broadcasting
-        for (i in this.buffer.array.indices) {
+        for (i in this.buffer.toDoubleArray().indices) {
-            this.buffer.array[i] += other.buffer.array[i]
+            this.buffer.toDoubleArray()[i] += other.buffer.toDoubleArray()[i]
         }
     }
 
     override fun Double.minus(other: RealTensor): RealTensor {
         val resBuffer = DoubleArray(other.buffer.size) { i ->
-            this - other.buffer.array[i]
+            this - other.buffer.toDoubleArray()[i]
         }
         return RealTensor(other.shape, resBuffer)
     }
 
     override fun RealTensor.minus(value: Double): RealTensor {
         val resBuffer = DoubleArray(this.buffer.size) { i ->
-            this.buffer.array[i] - value
+            this.buffer.toDoubleArray()[i] - value
         }
         return RealTensor(this.shape, resBuffer)
     }
@@ -87,14 +87,14 @@ public open class RealTensorAlgebra : TensorPartialDivisionAlgebra<Double, RealT
         val newThis = broadcast[0]
         val newOther = broadcast[1]
         val resBuffer = DoubleArray(newThis.buffer.size) { i ->
-            newThis.buffer.array[i] - newOther.buffer.array[i]
+            newThis.buffer.toDoubleArray()[i] - newOther.buffer.toDoubleArray()[i]
         }
         return RealTensor(newThis.shape, resBuffer)
     }
 
     override fun RealTensor.minusAssign(value: Double) {
-        for (i in this.buffer.array.indices) {
+        for (i in this.buffer.toDoubleArray().indices) {
-            this.buffer.array[i] -= value
+            this.buffer.toDoubleArray()[i] -= value
         }
     }
 
@@ -105,7 +105,7 @@ public open class RealTensorAlgebra : TensorPartialDivisionAlgebra<Double, RealT
     override fun Double.times(other: RealTensor): RealTensor {
         //todo should be change with broadcasting
         val resBuffer = DoubleArray(other.buffer.size) { i ->
-            other.buffer.array[i] * this
+            other.buffer.toDoubleArray()[i] * this
         }
         return RealTensor(other.shape, resBuffer)
     }
@@ -116,28 +116,28 @@ public open class RealTensorAlgebra : TensorPartialDivisionAlgebra<Double, RealT
     override fun RealTensor.times(other: RealTensor): RealTensor {
         //todo should be change with broadcasting
         val resBuffer = DoubleArray(this.buffer.size) { i ->
-            this.buffer.array[i] * other.buffer.array[i]
+            this.buffer.toDoubleArray()[i] * other.buffer.toDoubleArray()[i]
         }
         return RealTensor(this.shape, resBuffer)
     }
 
     override fun RealTensor.timesAssign(value: Double) {
         //todo should be change with broadcasting
-        for (i in this.buffer.array.indices) {
+        for (i in this.buffer.toDoubleArray().indices) {
-            this.buffer.array[i] *= value
+            this.buffer.toDoubleArray()[i] *= value
         }
     }
 
     override fun RealTensor.timesAssign(other: RealTensor) {
         //todo should be change with broadcasting
-        for (i in this.buffer.array.indices) {
+        for (i in this.buffer.toDoubleArray().indices) {
-            this.buffer.array[i] *= other.buffer.array[i]
+            this.buffer.toDoubleArray()[i] *= other.buffer.toDoubleArray()[i]
         }
     }
 
     override fun RealTensor.unaryMinus(): RealTensor {
         val resBuffer = DoubleArray(this.buffer.size) { i ->
-            this.buffer.array[i].unaryMinus()
+            this.buffer.toDoubleArray()[i].unaryMinus()
         }
         return RealTensor(this.shape, resBuffer)
     }
@@ -158,14 +158,14 @@ public open class RealTensorAlgebra : TensorPartialDivisionAlgebra<Double, RealT
             newMultiIndex[i] = newMultiIndex[j].also { newMultiIndex[j] = newMultiIndex[i] }
 
             val linearIndex = resTensor.strides.offset(newMultiIndex)
-            resTensor.buffer.array[linearIndex] = this.buffer.array[offset]
+            resTensor.buffer.toDoubleArray()[linearIndex] = this.buffer.toDoubleArray()[offset]
         }
         return resTensor
     }
 
 
     override fun RealTensor.view(shape: IntArray): RealTensor {
-        return RealTensor(shape, this.buffer.array)
+        return RealTensor(shape, this.buffer.toDoubleArray())
     }
 
     override fun RealTensor.viewAs(other: RealTensor): RealTensor {

kmath-core/src/commonMain/kotlin/space/kscience/kmath/tensors/utils.kt

@@ -1,6 +1,6 @@
 package space.kscience.kmath.tensors
 
-import space.kscience.kmath.structures.array
+import space.kscience.kmath.structures.toDoubleArray
 import kotlin.math.max
 
 
@@ -55,7 +55,7 @@ internal inline fun broadcastTensors(vararg tensors: RealTensor): List<RealTenso
             }
 
             val curLinearIndex = tensor.strides.offset(curMultiIndex)
-            resTensor.buffer.array[linearIndex] = tensor.buffer.array[curLinearIndex]
+            resTensor.buffer.toDoubleArray()[linearIndex] = tensor.buffer.toDoubleArray()[curLinearIndex]
         }
         res.add(resTensor)
     }

kmath-core/src/commonTest/kotlin/space/kscience/kmath/tensors/TestRealTensor.kt

@@ -1,7 +1,7 @@
 package space.kscience.kmath.tensors
 
 
-import space.kscience.kmath.structures.array
+import space.kscience.kmath.structures.toDoubleArray
 import kotlin.test.Test
 import kotlin.test.assertEquals
 import kotlin.test.assertTrue
@@ -19,6 +19,6 @@ class TestRealTensor {
     fun stridesTest(){
         val tensor = RealTensor(intArrayOf(2,2), doubleArrayOf(3.5,5.8,58.4,2.4))
         assertEquals(tensor[intArrayOf(0,1)], 5.8)
-        assertTrue(tensor.elements().map{ it.second }.toList().toDoubleArray() contentEquals tensor.buffer.array)
+        assertTrue(tensor.elements().map{ it.second }.toList().toDoubleArray() contentEquals tensor.buffer.toDoubleArray())
     }
 }

kmath-core/src/commonTest/kotlin/space/kscience/kmath/tensors/TestRealTensorAlgebra.kt

@@ -1,6 +1,6 @@
 package space.kscience.kmath.tensors
 
-import space.kscience.kmath.structures.array
+import space.kscience.kmath.structures.toDoubleArray
 import kotlin.test.Test
 import kotlin.test.assertTrue
 
@@ -10,7 +10,7 @@ class TestRealTensorAlgebra {
     fun doublePlus() = RealTensorAlgebra {
         val tensor = RealTensor(intArrayOf(2), doubleArrayOf(1.0, 2.0))
         val res = 10.0 + tensor
-        assertTrue(res.buffer.array contentEquals doubleArrayOf(11.0,12.0))
+        assertTrue(res.buffer.toDoubleArray() contentEquals doubleArrayOf(11.0,12.0))
     }
 
     @Test
@@ -18,7 +18,7 @@ class TestRealTensorAlgebra {
         val tensor = RealTensor(intArrayOf(1), doubleArrayOf(0.0))
         val res = tensor.transpose(0, 0)
 
-        assertTrue(res.buffer.array contentEquals doubleArrayOf(0.0))
+        assertTrue(res.buffer.toDoubleArray() contentEquals doubleArrayOf(0.0))
         assertTrue(res.shape contentEquals intArrayOf(1))
     }
 
@@ -27,7 +27,7 @@ class TestRealTensorAlgebra {
         val tensor = RealTensor(intArrayOf(3, 2), doubleArrayOf(1.0, 2.0, 3.0, 4.0, 5.0, 6.0))
         val res = tensor.transpose(1, 0)
 
-        assertTrue(res.buffer.array contentEquals doubleArrayOf(1.0, 3.0, 5.0, 2.0, 4.0, 6.0))
+        assertTrue(res.buffer.toDoubleArray() contentEquals doubleArrayOf(1.0, 3.0, 5.0, 2.0, 4.0, 6.0))
         assertTrue(res.shape contentEquals intArrayOf(2, 3))
     }
 
@@ -42,9 +42,9 @@ class TestRealTensorAlgebra {
         assertTrue(res02.shape contentEquals intArrayOf(3, 2, 1))
         assertTrue(res12.shape contentEquals intArrayOf(1, 3, 2))
 
-        assertTrue(res01.buffer.array contentEquals doubleArrayOf(1.0, 2.0, 3.0, 4.0, 5.0, 6.0))
+        assertTrue(res01.buffer.toDoubleArray() contentEquals doubleArrayOf(1.0, 2.0, 3.0, 4.0, 5.0, 6.0))
-        assertTrue(res02.buffer.array contentEquals doubleArrayOf(1.0, 4.0, 2.0, 5.0, 3.0, 6.0))
+        assertTrue(res02.buffer.toDoubleArray() contentEquals doubleArrayOf(1.0, 4.0, 2.0, 5.0, 3.0, 6.0))
-        assertTrue(res12.buffer.array contentEquals doubleArrayOf(1.0, 4.0, 2.0, 5.0, 3.0, 6.0))
+        assertTrue(res12.buffer.toDoubleArray() contentEquals doubleArrayOf(1.0, 4.0, 2.0, 5.0, 3.0, 6.0))
     }
 
     @Test
@@ -70,9 +70,9 @@ class TestRealTensorAlgebra {
         assertTrue(res[1].shape contentEquals intArrayOf(1, 2, 3))
         assertTrue(res[2].shape contentEquals intArrayOf(1, 2, 3))
 
-        assertTrue(res[0].buffer.array contentEquals doubleArrayOf(1.0, 2.0, 3.0, 4.0, 5.0, 6.0))
+        assertTrue(res[0].buffer.toDoubleArray() contentEquals doubleArrayOf(1.0, 2.0, 3.0, 4.0, 5.0, 6.0))
-        assertTrue(res[1].buffer.array contentEquals doubleArrayOf(10.0, 20.0, 30.0, 10.0, 20.0, 30.0))
+        assertTrue(res[1].buffer.toDoubleArray() contentEquals doubleArrayOf(10.0, 20.0, 30.0, 10.0, 20.0, 30.0))
-        assertTrue(res[2].buffer.array contentEquals doubleArrayOf(500.0, 500.0, 500.0, 500.0, 500.0, 500.0))
+        assertTrue(res[2].buffer.toDoubleArray() contentEquals doubleArrayOf(500.0, 500.0, 500.0, 500.0, 500.0, 500.0))
     }
 
     @Test
@@ -82,14 +82,14 @@ class TestRealTensorAlgebra {
         val tensor3 = RealTensor(intArrayOf(1, 1, 1), doubleArrayOf(500.0))
 
         assertTrue((tensor2 - tensor1).shape contentEquals intArrayOf(2, 3))
-        assertTrue((tensor2 - tensor1).buffer.array contentEquals doubleArrayOf(9.0, 18.0, 27.0, 6.0, 15.0, 24.0))
+        assertTrue((tensor2 - tensor1).buffer.toDoubleArray() contentEquals doubleArrayOf(9.0, 18.0, 27.0, 6.0, 15.0, 24.0))
 
         assertTrue((tensor3 - tensor1).shape contentEquals intArrayOf(1, 2, 3))
-        assertTrue((tensor3 - tensor1).buffer.array
+        assertTrue((tensor3 - tensor1).buffer.toDoubleArray()
                 contentEquals doubleArrayOf(499.0, 498.0, 497.0, 496.0, 495.0, 494.0))
 
         assertTrue((tensor3 - tensor2).shape contentEquals intArrayOf(1, 1, 3))
-        assertTrue((tensor3 - tensor2).buffer.array contentEquals doubleArrayOf(490.0, 480.0, 470.0))
+        assertTrue((tensor3 - tensor2).buffer.toDoubleArray() contentEquals doubleArrayOf(490.0, 480.0, 470.0))
     }
 
 }