From 40c02f4bd719cad22fe4586471f398092c4686b0 Mon Sep 17 00:00:00 2001
From: Alexander Nozik <altavir@gmail.com>
Date: Tue, 19 Oct 2021 10:50:13 +0300
Subject: [PATCH 01/44] Add multik dot for tensors

---
 .../kmath/multik/MultikTensorAlgebra.kt       | 34 ++++++++++++++++---
 1 file changed, 30 insertions(+), 4 deletions(-)

diff --git a/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt b/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
index c229a44bf..ed5575b93 100644
--- a/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
+++ b/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
@@ -3,9 +3,14 @@
  * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
  */
 
+@file:Suppress("unused")
+
 package space.kscience.kmath.multik
 
+import org.jetbrains.kotlinx.multik.api.Multik
+import org.jetbrains.kotlinx.multik.api.linalg.dot
 import org.jetbrains.kotlinx.multik.api.mk
+import org.jetbrains.kotlinx.multik.api.ndarrayOf
 import org.jetbrains.kotlinx.multik.api.zeros
 import org.jetbrains.kotlinx.multik.ndarray.data.*
 import org.jetbrains.kotlinx.multik.ndarray.operations.*
@@ -30,8 +35,20 @@ public value class MultikTensor<T>(public val array: MutableMultiArray<T, DN>) :
     }
 }
 
+private fun <T, D : Dimension> MultiArray<T, D>.asD1Array(): D1Array<T> {
+    if (this is NDArray<T, D>)
+        return this.asD1Array()
+    else throw ClassCastException("Cannot cast MultiArray to NDArray.")
+}
 
-public class MultikTensorAlgebra<T> internal constructor(
+
+private fun <T, D : Dimension> MultiArray<T, D>.asD2Array(): D2Array<T> {
+    if (this is NDArray<T, D>)
+        return this.asD2Array()
+    else throw ClassCastException("Cannot cast MultiArray to NDArray.")
+}
+
+public class MultikTensorAlgebra<T : Number> internal constructor(
     public val type: DataType,
     public val elementAlgebra: Ring<T>,
     public val comparator: Comparator<T>
@@ -162,9 +179,18 @@ public class MultikTensorAlgebra<T> internal constructor(
 
     override fun Tensor<T>.viewAs(other: Tensor<T>): MultikTensor<T> = view(other.shape)
 
-    override fun Tensor<T>.dot(other: Tensor<T>): MultikTensor<T> {
-        TODO("Not yet implemented")
-    }
+    override fun Tensor<T>.dot(other: Tensor<T>): MultikTensor<T> =
+        if (this.shape.size == 1 && other.shape.size == 1) {
+            Multik.ndarrayOf(
+                asMultik().array.asD1Array() dot other.asMultik().array.asD1Array()
+            ).asDNArray().wrap()
+        } else if (this.shape.size == 2 && other.shape.size == 2) {
+            (asMultik().array.asD2Array() dot other.asMultik().array.asD2Array()).asDNArray().wrap()
+        } else if(this.shape.size == 2 && other.shape.size == 1) {
+            (asMultik().array.asD2Array() dot other.asMultik().array.asD1Array()).asDNArray().wrap()
+        } else {
+            TODO("Not implemented for broadcasting")
+        }
 
     override fun diagonalEmbedding(diagonalEntries: Tensor<T>, offset: Int, dim1: Int, dim2: Int): MultikTensor<T> {
         TODO("Diagonal embedding not implemented")

From 6c4741ede6558f53e5b90e35f934ba0a83ceb13a Mon Sep 17 00:00:00 2001
From: Alexander Nozik <altavir@gmail.com>
Date: Wed, 20 Oct 2021 16:06:45 +0300
Subject: [PATCH 02/44] [WIP] TensorFlow

---
 kmath-tensorflow/build.gradle.kts             |  14 ++
 .../kmath/tensorflow/TensorFlowAlgebra.kt     | 220 ++++++++++++++++++
 settings.gradle.kts                           |   1 +
 3 files changed, 235 insertions(+)
 create mode 100644 kmath-tensorflow/build.gradle.kts
 create mode 100644 kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/TensorFlowAlgebra.kt

diff --git a/kmath-tensorflow/build.gradle.kts b/kmath-tensorflow/build.gradle.kts
new file mode 100644
index 000000000..fa77a272a
--- /dev/null
+++ b/kmath-tensorflow/build.gradle.kts
@@ -0,0 +1,14 @@
+plugins {
+    id("ru.mipt.npm.gradle.jvm")
+}
+
+description = "Google tensorflow connector"
+
+dependencies {
+    api(project(":kmath-tensors"))
+    api("org.tensorflow:tensorflow-core-api:0.3.3")
+}
+
+readme {
+    maturity = ru.mipt.npm.gradle.Maturity.PROTOTYPE
+}
\ No newline at end of file
diff --git a/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/TensorFlowAlgebra.kt b/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/TensorFlowAlgebra.kt
new file mode 100644
index 000000000..849a2e909
--- /dev/null
+++ b/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/TensorFlowAlgebra.kt
@@ -0,0 +1,220 @@
+package space.kscience.kmath.tensorflow
+
+
+import org.tensorflow.Graph
+import org.tensorflow.Operand
+import org.tensorflow.Output
+import org.tensorflow.Session
+import org.tensorflow.ndarray.NdArray
+import org.tensorflow.op.Ops
+import org.tensorflow.op.core.Constant
+import org.tensorflow.types.family.TType
+import space.kscience.kmath.misc.PerformancePitfall
+import space.kscience.kmath.nd.Shape
+import space.kscience.kmath.tensors.api.Tensor
+import space.kscience.kmath.tensors.api.TensorAlgebra
+
+private fun IntArray.toLongArray() = LongArray(size) { get(it).toLong() }
+private fun LongArray.toIntArray() = IntArray(size) { get(it).toInt() }
+
+private val <T> NdArray<T>.scalar: T
+    get() = getObject()
+
+
+public sealed interface TensorFlowTensor<T> : Tensor<T>
+
+@JvmInline
+public value class TensorFlowArray<T>(public val tensor: NdArray<T>) : Tensor<T> {
+    override val shape: Shape get() = tensor.shape().asArray().toIntArray()
+
+    override fun get(index: IntArray): T = tensor.getObject(*index.toLongArray())
+
+    @PerformancePitfall
+    override fun elements(): Sequence<Pair<IntArray, T>> = sequence {
+        tensor.scalars().forEachIndexed { index: LongArray, ndArray: NdArray<T> ->
+            //yield(index.toIntArray() to ndArray.scalar)
+            TODO()
+        }
+    }
+
+    override fun set(index: IntArray, value: T) {
+        tensor.setObject(value, *index.toLongArray())
+    }
+}
+
+public abstract class TensorFlowOutput<T, TT : TType>(
+    private val graph: Graph,
+    output: Output<TT>
+) : TensorFlowTensor<T> {
+
+    public var output: Output<TT> = output
+        internal set
+
+    override val shape: Shape get() = output.shape().asArray().toIntArray()
+
+    protected abstract fun org.tensorflow.Tensor.actualizeTensor(): NdArray<T>
+
+    private val actualTensor by lazy {
+        val session = Session(graph)
+        TensorFlowArray(session.runner().fetch(output).run().first().actualizeTensor())
+    }
+
+    override fun get(index: IntArray): T = actualTensor[index]
+
+    @PerformancePitfall
+    override fun elements(): Sequence<Pair<IntArray, T>> = actualTensor.elements()
+
+    override fun set(index: IntArray, value: T) {
+        actualTensor[index] = value
+    }
+
+}
+
+
+public abstract class TensorFlowAlgebra<T, TT : TType> internal constructor(
+    private val graph: Graph
+) : TensorAlgebra<T> {
+
+    private val ops by lazy { Ops.create(graph) }
+
+    protected fun Tensor<T>.asTensorFlow(): TensorFlowOutput<T, TT> = if (this is TensorFlowOutput<T, TT>) this else {
+        TODO()
+    }
+
+    protected abstract fun Output<TT>.wrap(): TensorFlowOutput<T, TT>
+
+    protected abstract fun const(value: T): Constant<TT>
+
+    override fun Tensor<T>.valueOrNull(): T? = if (shape contentEquals intArrayOf(1))
+        get(Shape(0)) else null
+
+    private inline fun Tensor<T>.biOp(
+        other: Tensor<T>,
+        operation: (left: Operand<TT>, right: Operand<TT>) -> Operand<TT>
+    ): TensorFlowOutput<T, TT> {
+        val left = asTensorFlow().output
+        val right = other.asTensorFlow().output
+        return operation(left, right).asOutput().wrap()
+    }
+
+    private inline fun T.biOp(
+        other: Tensor<T>,
+        operation: (left: Operand<TT>, right: Operand<TT>) -> Operand<TT>
+    ): TensorFlowOutput<T, TT> {
+        val left = const(this)
+        val right = other.asTensorFlow().output
+        return operation(left, right).asOutput().wrap()
+    }
+
+    private inline fun Tensor<T>.biOp(
+        value: T,
+        operation: (left: Operand<TT>, right: Operand<TT>) -> Operand<TT>
+    ): TensorFlowOutput<T, TT> {
+        val left = asTensorFlow().output
+        val right = const(value)
+        return operation(left, right).asOutput().wrap()
+    }
+
+    private inline fun Tensor<T>.inPlaceOp(
+        other: Tensor<T>,
+        operation: (left: Operand<TT>, right: Operand<TT>) -> Operand<TT>
+    ): Unit {
+        val origin = asTensorFlow()
+        val left = origin.output
+        val right = other.asTensorFlow().output
+        origin.output = operation(left, right).asOutput()
+    }
+
+    private inline fun Tensor<T>.inPlaceOp(
+        value: T,
+        operation: (left: Operand<TT>, right: Operand<TT>) -> Operand<TT>
+    ): Unit {
+        val origin = asTensorFlow()
+        val left = origin.output
+        val right = const(value)
+        origin.output = operation(left, right).asOutput()
+    }
+
+    private inline fun unOp(value: Tensor<T>, operation: (Operand<TT>) -> Operand<TT>): TensorFlowOutput<T, TT> =
+        operation(value.asTensorFlow().output).asOutput().wrap()
+
+    override fun T.plus(other: Tensor<T>) = biOp(other, ops.math::add)
+
+    override fun Tensor<T>.plus(value: T) = biOp(value, ops.math::add)
+
+    override fun Tensor<T>.plus(other: Tensor<T>) = biOp(other, ops.math::add)
+
+    override fun Tensor<T>.plusAssign(value: T): Unit = inPlaceOp(value, ops.math::add)
+
+    override fun Tensor<T>.plusAssign(other: Tensor<T>): Unit = inPlaceOp(other, ops.math::add)
+
+    override fun Tensor<T>.minus(value: T) = biOp(value, ops.math::sub)
+
+    override fun Tensor<T>.minus(other: Tensor<T>) = biOp(other, ops.math::sub)
+
+    override fun Tensor<T>.minusAssign(value: T): Unit = inPlaceOp(value, ops.math::sub)
+
+    override fun Tensor<T>.minusAssign(other: Tensor<T>): Unit = inPlaceOp(other, ops.math::sub)
+
+    override fun T.times(other: Tensor<T>) = biOp(other, ops.math::mul)
+
+    override fun Tensor<T>.times(value: T) = biOp(value, ops.math::mul)
+
+    override fun Tensor<T>.times(other: Tensor<T>): TensorFlowOutput<T, TT> = biOp(other, ops.math::mul)
+
+    override fun Tensor<T>.timesAssign(value: T): Unit = inPlaceOp(value, ops.math::mul)
+
+    override fun Tensor<T>.timesAssign(other: Tensor<T>): Unit = inPlaceOp(other, ops.math::mul)
+
+    override fun Tensor<T>.unaryMinus() = unOp(this, ops.math::neg)
+
+    override fun Tensor<T>.get(i: Int): Tensor<T>{
+        ops.
+    }
+
+    override fun Tensor<T>.transpose(i: Int, j: Int): Tensor<T> {
+        TODO("Not yet implemented")
+    }
+
+    override fun Tensor<T>.view(shape: IntArray): Tensor<T> {
+        TODO("Not yet implemented")
+    }
+
+    override fun Tensor<T>.viewAs(other: Tensor<T>): Tensor<T> {
+        TODO("Not yet implemented")
+    }
+
+    override fun Tensor<T>.dot(other: Tensor<T>) = biOp(other, ops.math.)
+
+    override fun diagonalEmbedding(diagonalEntries: Tensor<T>, offset: Int, dim1: Int, dim2: Int): Tensor<T> = ops.run {
+        TODO("Not yet implemented")
+    }
+
+    override fun Tensor<T>.sum(): T {
+        TODO("Not yet implemented")
+    }
+
+    override fun Tensor<T>.sum(dim: Int, keepDim: Boolean): Tensor<T> {
+        TODO("Not yet implemented")
+    }
+
+    override fun Tensor<T>.min(): T {
+        TODO("Not yet implemented")
+    }
+
+    override fun Tensor<T>.min(dim: Int, keepDim: Boolean): Tensor<T> {
+        TODO("Not yet implemented")
+    }
+
+    override fun Tensor<T>.max(): T {
+        TODO("Not yet implemented")
+    }
+
+    override fun Tensor<T>.max(dim: Int, keepDim: Boolean): Tensor<T> {
+        TODO("Not yet implemented")
+    }
+
+    override fun Tensor<T>.argMax(dim: Int, keepDim: Boolean): Tensor<T> {
+        TODO("Not yet implemented")
+    }
+}
\ No newline at end of file
diff --git a/settings.gradle.kts b/settings.gradle.kts
index e73381bf2..a29f33824 100644
--- a/settings.gradle.kts
+++ b/settings.gradle.kts
@@ -33,6 +33,7 @@ include(
     ":kmath-commons",
     ":kmath-viktor",
     ":kmath-multik",
+    ":kmath-tensorflow",
     ":kmath-optimization",
     ":kmath-stat",
     ":kmath-nd4j",

From 69e6849a129453d00f855ee60ff76432dceb8e18 Mon Sep 17 00:00:00 2001
From: Alexander Nozik <altavir@gmail.com>
Date: Wed, 20 Oct 2021 16:11:36 +0300
Subject: [PATCH 03/44] Name refactoring for tensors

---
 .../kscience/kmath/nd/BufferAlgebraND.kt      | 12 +++++------
 .../space/kscience/kmath/nd/BufferND.kt       |  4 ++--
 .../space/kscience/kmath/nd/DoubleFieldND.kt  |  2 +-
 .../nd/{ShapeIndex.kt => ShapeIndexer.kt}     |  4 ++--
 .../space/kscience/kmath/nd/Structure2D.kt    | 20 +++++++++----------
 .../space/kscience/kmath/nd/StructureND.kt    |  2 +-
 .../kmath/multik/MultikTensorAlgebra.kt       |  3 ++-
 7 files changed, 24 insertions(+), 23 deletions(-)
 rename kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/{ShapeIndex.kt => ShapeIndexer.kt} (95%)

diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferAlgebraND.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferAlgebraND.kt
index 1f231ce9f..859edefb8 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferAlgebraND.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferAlgebraND.kt
@@ -12,7 +12,7 @@ import space.kscience.kmath.operations.*
 import space.kscience.kmath.structures.BufferFactory
 
 public interface BufferAlgebraND<T, out A : Algebra<T>> : AlgebraND<T, A> {
-    public val indexerBuilder: (IntArray) -> ShapeIndex
+    public val indexerBuilder: (IntArray) -> ShapeIndexer
     public val bufferAlgebra: BufferAlgebra<T, A>
     override val elementAlgebra: A get() = bufferAlgebra.elementAlgebra
 
@@ -43,7 +43,7 @@ public interface BufferAlgebraND<T, out A : Algebra<T>> : AlgebraND<T, A> {
         zipInline(left.toBufferND(), right.toBufferND(), transform)
 
     public companion object {
-        public val defaultIndexerBuilder: (IntArray) -> ShapeIndex = DefaultStrides.Companion::invoke
+        public val defaultIndexerBuilder: (IntArray) -> ShapeIndexer = DefaultStrides.Companion::invoke
     }
 }
 
@@ -80,25 +80,25 @@ internal inline fun <T, A : Algebra<T>> BufferAlgebraND<T, A>.zipInline(
 
 public open class BufferedGroupNDOps<T, out A : Group<T>>(
     override val bufferAlgebra: BufferAlgebra<T, A>,
-    override val indexerBuilder: (IntArray) -> ShapeIndex = BufferAlgebraND.defaultIndexerBuilder
+    override val indexerBuilder: (IntArray) -> ShapeIndexer = BufferAlgebraND.defaultIndexerBuilder
 ) : GroupOpsND<T, A>, BufferAlgebraND<T, A> {
     override fun StructureND<T>.unaryMinus(): StructureND<T> = map { -it }
 }
 
 public open class BufferedRingOpsND<T, out A : Ring<T>>(
     bufferAlgebra: BufferAlgebra<T, A>,
-    indexerBuilder: (IntArray) -> ShapeIndex = BufferAlgebraND.defaultIndexerBuilder
+    indexerBuilder: (IntArray) -> ShapeIndexer = BufferAlgebraND.defaultIndexerBuilder
 ) : BufferedGroupNDOps<T, A>(bufferAlgebra, indexerBuilder), RingOpsND<T, A>
 
 public open class BufferedFieldOpsND<T, out A : Field<T>>(
     bufferAlgebra: BufferAlgebra<T, A>,
-    indexerBuilder: (IntArray) -> ShapeIndex = BufferAlgebraND.defaultIndexerBuilder
+    indexerBuilder: (IntArray) -> ShapeIndexer = BufferAlgebraND.defaultIndexerBuilder
 ) : BufferedRingOpsND<T, A>(bufferAlgebra, indexerBuilder), FieldOpsND<T, A> {
 
     public constructor(
         elementAlgebra: A,
         bufferFactory: BufferFactory<T>,
-        indexerBuilder: (IntArray) -> ShapeIndex = BufferAlgebraND.defaultIndexerBuilder
+        indexerBuilder: (IntArray) -> ShapeIndexer = BufferAlgebraND.defaultIndexerBuilder
     ) : this(BufferFieldOps(elementAlgebra, bufferFactory), indexerBuilder)
 
     override fun scale(a: StructureND<T>, value: Double): StructureND<T> = a.map { it * value }
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferND.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferND.kt
index c17632101..afa8f8250 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferND.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferND.kt
@@ -19,7 +19,7 @@ import space.kscience.kmath.structures.MutableBufferFactory
  * @param buffer The underlying buffer.
  */
 public open class BufferND<out T>(
-    public val indexes: ShapeIndex,
+    public val indexes: ShapeIndexer,
     public open val buffer: Buffer<T>,
 ) : StructureND<T> {
 
@@ -58,7 +58,7 @@ public inline fun <T, reified R : Any> StructureND<T>.mapToBuffer(
  * @param buffer The underlying buffer.
  */
 public class MutableBufferND<T>(
-    strides: ShapeIndex,
+    strides: ShapeIndexer,
     override val buffer: MutableBuffer<T>,
 ) : MutableStructureND<T>, BufferND<T>(strides, buffer) {
     override fun set(index: IntArray, value: T) {
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/DoubleFieldND.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/DoubleFieldND.kt
index 961f5869a..853ac43b0 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/DoubleFieldND.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/DoubleFieldND.kt
@@ -13,7 +13,7 @@ import kotlin.contracts.contract
 import kotlin.math.pow
 
 public class DoubleBufferND(
-    indexes: ShapeIndex,
+    indexes: ShapeIndexer,
     override val buffer: DoubleBuffer,
 ) : BufferND<Double>(indexes, buffer)
 
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/ShapeIndex.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/ShapeIndexer.kt
similarity index 95%
rename from kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/ShapeIndex.kt
rename to kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/ShapeIndexer.kt
index a78bcfa70..1ce6b7519 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/ShapeIndex.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/ShapeIndexer.kt
@@ -10,7 +10,7 @@ import kotlin.native.concurrent.ThreadLocal
 /**
  * A converter from linear index to multivariate index
  */
-public interface ShapeIndex{
+public interface ShapeIndexer{
     public val shape: Shape
 
     /**
@@ -42,7 +42,7 @@ public interface ShapeIndex{
 /**
  * Linear transformation of indexes
  */
-public abstract class Strides: ShapeIndex {
+public abstract class Strides: ShapeIndexer {
     /**
      * Array strides
      */
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/Structure2D.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/Structure2D.kt
index 8d3cc3a3f..e3552c02e 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/Structure2D.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/Structure2D.kt
@@ -85,7 +85,7 @@ public interface MutableStructure2D<T> : Structure2D<T>, MutableStructureND<T> {
      */
     @PerformancePitfall
     override val rows: List<MutableStructure1D<T>>
-        get() = List(rowNum) { i -> MutableBuffer1DWrapper(MutableListBuffer(colNum) { j -> get(i, j) })}
+        get() = List(rowNum) { i -> MutableBuffer1DWrapper(MutableListBuffer(colNum) { j -> get(i, j) }) }
 
     /**
      * The buffer of columns of this structure. It gets elements from the structure dynamically.
@@ -100,7 +100,7 @@ public interface MutableStructure2D<T> : Structure2D<T>, MutableStructureND<T> {
  */
 @JvmInline
 private value class Structure2DWrapper<out T>(val structure: StructureND<T>) : Structure2D<T> {
-    override val shape: IntArray get() = structure.shape
+    override val shape: Shape get() = structure.shape
 
     override val rowNum: Int get() = shape[0]
     override val colNum: Int get() = shape[1]
@@ -116,9 +116,8 @@ private value class Structure2DWrapper<out T>(val structure: StructureND<T>) : S
 /**
  * A 2D wrapper for a mutable nd-structure
  */
-private class MutableStructure2DWrapper<T>(val structure: MutableStructureND<T>): MutableStructure2D<T>
-{
-    override val shape: IntArray get() = structure.shape
+private class MutableStructure2DWrapper<T>(val structure: MutableStructureND<T>) : MutableStructure2D<T> {
+    override val shape: Shape get() = structure.shape
 
     override val rowNum: Int get() = shape[0]
     override val colNum: Int get() = shape[1]
@@ -129,7 +128,7 @@ private class MutableStructure2DWrapper<T>(val structure: MutableStructureND<T>)
         structure[index] = value
     }
 
-    override operator fun set(i: Int, j: Int, value: T){
+    override operator fun set(i: Int, j: Int, value: T) {
         structure[intArrayOf(i, j)] = value
     }
 
@@ -152,10 +151,11 @@ public fun <T> StructureND<T>.as2D(): Structure2D<T> = this as? Structure2D<T> ?
 /**
  * Represents a [StructureND] as [Structure2D]. Throws runtime error in case of dimension mismatch.
  */
-public fun <T> MutableStructureND<T>.as2D(): MutableStructure2D<T> = this as? MutableStructure2D<T> ?: when (shape.size) {
-    2 -> MutableStructure2DWrapper(this)
-    else -> error("Can't create 2d-structure from ${shape.size}d-structure")
-}
+public fun <T> MutableStructureND<T>.as2D(): MutableStructure2D<T> =
+    this as? MutableStructure2D<T> ?: when (shape.size) {
+        2 -> MutableStructure2DWrapper(this)
+        else -> error("Can't create 2d-structure from ${shape.size}d-structure")
+    }
 
 /**
  * Expose inner [StructureND] if possible
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/StructureND.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/StructureND.kt
index 611d2724f..b4e62366a 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/StructureND.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/StructureND.kt
@@ -33,7 +33,7 @@ public interface StructureND<out T> : Featured<StructureFeature> {
      * The shape of structure i.e., non-empty sequence of non-negative integers that specify sizes of dimensions of
      * this structure.
      */
-    public val shape: IntArray
+    public val shape: Shape
 
     /**
      * The count of dimensions in this structure. It should be equal to size of [shape].
diff --git a/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt b/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
index ed5575b93..a89e92c8e 100644
--- a/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
+++ b/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
@@ -15,6 +15,7 @@ import org.jetbrains.kotlinx.multik.api.zeros
 import org.jetbrains.kotlinx.multik.ndarray.data.*
 import org.jetbrains.kotlinx.multik.ndarray.operations.*
 import space.kscience.kmath.misc.PerformancePitfall
+import space.kscience.kmath.nd.Shape
 import space.kscience.kmath.nd.mapInPlace
 import space.kscience.kmath.operations.*
 import space.kscience.kmath.tensors.api.Tensor
@@ -22,7 +23,7 @@ import space.kscience.kmath.tensors.api.TensorAlgebra
 
 @JvmInline
 public value class MultikTensor<T>(public val array: MutableMultiArray<T, DN>) : Tensor<T> {
-    override val shape: IntArray get() = array.shape
+    override val shape: Shape get() = array.shape
 
     override fun get(index: IntArray): T = array[index]
 

From cfd3f3b7e152cf7bb12413534cf950f6987353b2 Mon Sep 17 00:00:00 2001
From: Alexander Nozik <altavir@gmail.com>
Date: Wed, 20 Oct 2021 16:35:52 +0300
Subject: [PATCH 04/44] fix NDArray cast

---
 .../kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt  | 3 +--
 1 file changed, 1 insertion(+), 2 deletions(-)

diff --git a/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt b/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
index a89e92c8e..04c467861 100644
--- a/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
+++ b/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
@@ -171,8 +171,7 @@ public class MultikTensorAlgebra<T : Number> internal constructor(
 
         val mt = asMultik().array
         return if (mt.shape.contentEquals(shape)) {
-            @Suppress("UNCHECKED_CAST")
-            this as NDArray<T, DN>
+            (this as MultikTensor<T>).array
         } else {
             NDArray(mt.data, mt.offset, shape, dim = DN(shape.size), base = mt.base ?: mt)
         }.wrap()

From 47aeb36979d3501def28d920a86cf60916d5166b Mon Sep 17 00:00:00 2001
From: Alexander Nozik <altavir@gmail.com>
Date: Wed, 20 Oct 2021 17:04:00 +0300
Subject: [PATCH 05/44] fix NDArray cast

---
 .../kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt b/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
index 04c467861..ed15199a6 100644
--- a/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
+++ b/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
@@ -171,7 +171,7 @@ public class MultikTensorAlgebra<T : Number> internal constructor(
 
         val mt = asMultik().array
         return if (mt.shape.contentEquals(shape)) {
-            (this as MultikTensor<T>).array
+            mt
         } else {
             NDArray(mt.data, mt.offset, shape, dim = DN(shape.size), base = mt.base ?: mt)
         }.wrap()
@@ -186,7 +186,7 @@ public class MultikTensorAlgebra<T : Number> internal constructor(
             ).asDNArray().wrap()
         } else if (this.shape.size == 2 && other.shape.size == 2) {
             (asMultik().array.asD2Array() dot other.asMultik().array.asD2Array()).asDNArray().wrap()
-        } else if(this.shape.size == 2 && other.shape.size == 1) {
+        } else if (this.shape.size == 2 && other.shape.size == 1) {
             (asMultik().array.asD2Array() dot other.asMultik().array.asD1Array()).asDNArray().wrap()
         } else {
             TODO("Not implemented for broadcasting")

From cc114041c4eb2c71248d8a54876d57668286cc95 Mon Sep 17 00:00:00 2001
From: Alexander Nozik <altavir@gmail.com>
Date: Sun, 24 Oct 2021 18:33:39 +0300
Subject: [PATCH 06/44] Initial implementation of TensorFlow connector

---
 .../tensorflow/DoubleTensorFlowAlgebra.kt     | 40 +++++++++++++++
 .../kmath/tensorflow/TensorFlowAlgebra.kt     | 49 +++++++++----------
 .../kmath/tensors/core/DoubleTensorAlgebra.kt | 14 +++---
 3 files changed, 71 insertions(+), 32 deletions(-)
 create mode 100644 kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/DoubleTensorFlowAlgebra.kt

diff --git a/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/DoubleTensorFlowAlgebra.kt b/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/DoubleTensorFlowAlgebra.kt
new file mode 100644
index 000000000..864205e17
--- /dev/null
+++ b/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/DoubleTensorFlowAlgebra.kt
@@ -0,0 +1,40 @@
+package space.kscience.kmath.tensorflow
+
+import org.tensorflow.Graph
+import org.tensorflow.Output
+import org.tensorflow.ndarray.NdArray
+import org.tensorflow.ndarray.Shape
+import org.tensorflow.op.core.Constant
+import org.tensorflow.types.TFloat64
+import space.kscience.kmath.misc.PerformancePitfall
+import space.kscience.kmath.tensors.api.Tensor
+
+public class DoubleTensorFlowOutput(
+    graph: Graph,
+    output: Output<TFloat64>
+) : TensorFlowOutput<Double, TFloat64>(graph, output) {
+    override fun org.tensorflow.Tensor.actualizeTensor(): NdArray<Double> = output.asTensor()
+}
+
+public class DoubleTensorFlowAlgebra internal constructor(
+    graph: Graph
+) : TensorFlowAlgebra<Double, TFloat64>(graph) {
+
+    override fun Tensor<Double>.asTensorFlow(): TensorFlowOutput<Double, TFloat64> =
+        if (this is TensorFlowOutput<Double, *> && output.type() == TFloat64::class.java) {
+            @Suppress("UNCHECKED_CAST")
+            this as TensorFlowOutput<Double, TFloat64>
+        } else {
+            val res = TFloat64.tensorOf(Shape.of(*shape.toLongArray())) { array ->
+                @OptIn(PerformancePitfall::class)
+                elements().forEach { (index, value) ->
+                    array.setDouble(value, *index.toLongArray())
+                }
+            }
+            DoubleTensorFlowOutput(graph, ops.constant(res).asOutput())
+        }
+
+    override fun Output<TFloat64>.wrap(): TensorFlowOutput<Double, TFloat64> = DoubleTensorFlowOutput(graph, this)
+
+    override fun const(value: Double): Constant<TFloat64> = ops.constant(value)
+}
\ No newline at end of file
diff --git a/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/TensorFlowAlgebra.kt b/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/TensorFlowAlgebra.kt
index 849a2e909..12c1211db 100644
--- a/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/TensorFlowAlgebra.kt
+++ b/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/TensorFlowAlgebra.kt
@@ -14,11 +14,10 @@ import space.kscience.kmath.nd.Shape
 import space.kscience.kmath.tensors.api.Tensor
 import space.kscience.kmath.tensors.api.TensorAlgebra
 
-private fun IntArray.toLongArray() = LongArray(size) { get(it).toLong() }
-private fun LongArray.toIntArray() = IntArray(size) { get(it).toInt() }
+internal fun IntArray.toLongArray() = LongArray(size) { get(it).toLong() }
+internal fun LongArray.toIntArray() = IntArray(size) { get(it).toInt() }
 
-private val <T> NdArray<T>.scalar: T
-    get() = getObject()
+internal val <T> NdArray<T>.scalar: T get() = getObject()
 
 
 public sealed interface TensorFlowTensor<T> : Tensor<T>
@@ -72,14 +71,12 @@ public abstract class TensorFlowOutput<T, TT : TType>(
 
 
 public abstract class TensorFlowAlgebra<T, TT : TType> internal constructor(
-    private val graph: Graph
+    protected val graph: Graph
 ) : TensorAlgebra<T> {
 
-    private val ops by lazy { Ops.create(graph) }
+    protected val ops: Ops by lazy { Ops.create(graph) }
 
-    protected fun Tensor<T>.asTensorFlow(): TensorFlowOutput<T, TT> = if (this is TensorFlowOutput<T, TT>) this else {
-        TODO()
-    }
+    protected abstract fun Tensor<T>.asTensorFlow(): TensorFlowOutput<T, TT>
 
     protected abstract fun Output<TT>.wrap(): TensorFlowOutput<T, TT>
 
@@ -138,27 +135,29 @@ public abstract class TensorFlowAlgebra<T, TT : TType> internal constructor(
     private inline fun unOp(value: Tensor<T>, operation: (Operand<TT>) -> Operand<TT>): TensorFlowOutput<T, TT> =
         operation(value.asTensorFlow().output).asOutput().wrap()
 
-    override fun T.plus(other: Tensor<T>) = biOp(other, ops.math::add)
+    override fun T.plus(other: Tensor<T>): TensorFlowOutput<T, TT> = biOp(other, ops.math::add)
 
-    override fun Tensor<T>.plus(value: T) = biOp(value, ops.math::add)
+    override fun Tensor<T>.plus(value: T): TensorFlowOutput<T, TT> = biOp(value, ops.math::add)
 
-    override fun Tensor<T>.plus(other: Tensor<T>) = biOp(other, ops.math::add)
+    override fun Tensor<T>.plus(other: Tensor<T>): TensorFlowOutput<T, TT> = biOp(other, ops.math::add)
 
     override fun Tensor<T>.plusAssign(value: T): Unit = inPlaceOp(value, ops.math::add)
 
     override fun Tensor<T>.plusAssign(other: Tensor<T>): Unit = inPlaceOp(other, ops.math::add)
 
-    override fun Tensor<T>.minus(value: T) = biOp(value, ops.math::sub)
+    override fun Tensor<T>.minus(value: T): TensorFlowOutput<T, TT> = biOp(value, ops.math::sub)
 
-    override fun Tensor<T>.minus(other: Tensor<T>) = biOp(other, ops.math::sub)
+    override fun Tensor<T>.minus(other: Tensor<T>): TensorFlowOutput<T, TT> = biOp(other, ops.math::sub)
+
+    override fun T.minus(other: Tensor<T>): Tensor<T> = biOp(other, ops.math::sub)
 
     override fun Tensor<T>.minusAssign(value: T): Unit = inPlaceOp(value, ops.math::sub)
 
     override fun Tensor<T>.minusAssign(other: Tensor<T>): Unit = inPlaceOp(other, ops.math::sub)
 
-    override fun T.times(other: Tensor<T>) = biOp(other, ops.math::mul)
+    override fun T.times(other: Tensor<T>): TensorFlowOutput<T, TT> = biOp(other, ops.math::mul)
 
-    override fun Tensor<T>.times(value: T) = biOp(value, ops.math::mul)
+    override fun Tensor<T>.times(value: T): TensorFlowOutput<T, TT> = biOp(value, ops.math::mul)
 
     override fun Tensor<T>.times(other: Tensor<T>): TensorFlowOutput<T, TT> = biOp(other, ops.math::mul)
 
@@ -166,14 +165,14 @@ public abstract class TensorFlowAlgebra<T, TT : TType> internal constructor(
 
     override fun Tensor<T>.timesAssign(other: Tensor<T>): Unit = inPlaceOp(other, ops.math::mul)
 
-    override fun Tensor<T>.unaryMinus() = unOp(this, ops.math::neg)
+    override fun Tensor<T>.unaryMinus(): TensorFlowOutput<T, TT> = unOp(this, ops.math::neg)
 
-    override fun Tensor<T>.get(i: Int): Tensor<T>{
-        ops.
+    override fun Tensor<T>.get(i: Int): Tensor<T> {
+        TODO("Not yet implemented")
     }
 
-    override fun Tensor<T>.transpose(i: Int, j: Int): Tensor<T> {
-        TODO("Not yet implemented")
+    override fun Tensor<T>.transpose(i: Int, j: Int): Tensor<T> = unOp(this) {
+        ops.linalg.transpose(it, ops.constant(intArrayOf(i, j)))
     }
 
     override fun Tensor<T>.view(shape: IntArray): Tensor<T> {
@@ -184,15 +183,15 @@ public abstract class TensorFlowAlgebra<T, TT : TType> internal constructor(
         TODO("Not yet implemented")
     }
 
-    override fun Tensor<T>.dot(other: Tensor<T>) = biOp(other, ops.math.)
+    override fun Tensor<T>.dot(other: Tensor<T>): TensorFlowOutput<T, TT> = biOp(other) { l, r ->
+        ops.linalg.matMul(l, r)
+    }
 
     override fun diagonalEmbedding(diagonalEntries: Tensor<T>, offset: Int, dim1: Int, dim2: Int): Tensor<T> = ops.run {
         TODO("Not yet implemented")
     }
 
-    override fun Tensor<T>.sum(): T {
-        TODO("Not yet implemented")
-    }
+    override fun Tensor<T>.sum(): T = TODO("Not yet implemented")
 
     override fun Tensor<T>.sum(dim: Int, keepDim: Boolean): Tensor<T> {
         TODO("Not yet implemented")
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
index 16ed4b834..3267e4adb 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
@@ -22,7 +22,7 @@ import kotlin.math.*
 public open class DoubleTensorAlgebra :
     TensorPartialDivisionAlgebra<Double>,
     AnalyticTensorAlgebra<Double>,
-    LinearOpsTensorAlgebra<Double>{
+    LinearOpsTensorAlgebra<Double> {
 
     public companion object : DoubleTensorAlgebra()
 
@@ -361,16 +361,16 @@ public open class DoubleTensorAlgebra :
             dotHelper(a.as2D(), b.as2D(), res.as2D(), l, m1, n)
         }
 
-        if (penultimateDim) {
-            return resTensor.view(
+        return if (penultimateDim) {
+            resTensor.view(
                 resTensor.shape.dropLast(2).toIntArray() +
                         intArrayOf(resTensor.shape.last())
             )
+        } else if (lastDim) {
+            resTensor.view(resTensor.shape.dropLast(1).toIntArray())
+        } else {
+            resTensor
         }
-        if (lastDim) {
-            return resTensor.view(resTensor.shape.dropLast(1).toIntArray())
-        }
-        return resTensor
     }
 
     override fun diagonalEmbedding(

From 7e59ec5804370829d85b858362a5187b3cec1740 Mon Sep 17 00:00:00 2001
From: darksnake <altavir@gmail.com>
Date: Tue, 26 Oct 2021 09:16:24 +0300
Subject: [PATCH 07/44] Refactor TensorAlgebra to take StructureND and inherit
 AlgebraND

---
 .../kmath/structures/StreamDoubleFieldND.kt   |   2 +-
 .../kscience/kmath/tensors/neuralNetwork.kt   |   4 +-
 .../space/kscience/kmath/nd/AlgebraND.kt      |   8 +-
 .../kscience/kmath/nd/BufferAlgebraND.kt      |   8 +-
 .../space/kscience/kmath/nd/BufferND.kt       |  16 +-
 .../space/kscience/kmath/nd/DoubleFieldND.kt  |   6 +-
 .../space/kscience/kmath/nd/StructureND.kt    |   4 +-
 .../space/kscience/kmath/real/realND.kt       |   4 +-
 .../kmath/multik/MultikTensorAlgebra.kt       |  53 +++---
 .../tensors/api/AnalyticTensorAlgebra.kt      |   4 +-
 .../tensors/api/LinearOpsTensorAlgebra.kt     |   4 +-
 .../kmath/tensors/api/TensorAlgebra.kt        |  58 +++---
 .../api/TensorPartialDivisionAlgebra.kt       |  26 ++-
 .../core/BroadcastDoubleTensorAlgebra.kt      |  31 +--
 .../kmath/tensors/core/BufferedTensor.kt      |  10 +-
 .../kmath/tensors/core/DoubleTensorAlgebra.kt | 180 +++++++++++-------
 .../tensors/core/internal/broadcastUtils.kt   |  14 +-
 .../kmath/tensors/core/internal/checks.kt     |   3 +-
 .../tensors/core/internal/tensorCastsUtils.kt |   9 +-
 .../kmath/tensors/core/internal/utils.kt      |   2 +-
 .../kmath/tensors/core/tensorCasts.kt         |   9 +-
 21 files changed, 258 insertions(+), 197 deletions(-)

diff --git a/examples/src/main/kotlin/space/kscience/kmath/structures/StreamDoubleFieldND.kt b/examples/src/main/kotlin/space/kscience/kmath/structures/StreamDoubleFieldND.kt
index 2b3e72136..05a13f5d2 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/structures/StreamDoubleFieldND.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/structures/StreamDoubleFieldND.kt
@@ -36,7 +36,7 @@ class StreamDoubleFieldND(override val shape: IntArray) : FieldND<Double, Double
                 this@StreamDoubleFieldND.shape,
                 shape
             )
-            this is BufferND && this.indexes == this@StreamDoubleFieldND.strides -> this.buffer as DoubleBuffer
+            this is BufferND && this.indices == this@StreamDoubleFieldND.strides -> this.buffer as DoubleBuffer
             else -> DoubleBuffer(strides.linearSize) { offset -> get(strides.index(offset)) }
         }
 
diff --git a/examples/src/main/kotlin/space/kscience/kmath/tensors/neuralNetwork.kt b/examples/src/main/kotlin/space/kscience/kmath/tensors/neuralNetwork.kt
index 3025ff8a3..cdfc06922 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/tensors/neuralNetwork.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/tensors/neuralNetwork.kt
@@ -9,7 +9,7 @@ import space.kscience.kmath.operations.invoke
 import space.kscience.kmath.tensors.core.BroadcastDoubleTensorAlgebra
 import space.kscience.kmath.tensors.core.DoubleTensor
 import space.kscience.kmath.tensors.core.DoubleTensorAlgebra
-import space.kscience.kmath.tensors.core.toDoubleArray
+import space.kscience.kmath.tensors.core.copyArray
 import kotlin.math.sqrt
 
 const val seed = 100500L
@@ -111,7 +111,7 @@ class NeuralNetwork(private val layers: List<Layer>) {
     private fun softMaxLoss(yPred: DoubleTensor, yTrue: DoubleTensor): DoubleTensor = BroadcastDoubleTensorAlgebra {
 
         val onesForAnswers = yPred.zeroesLike()
-        yTrue.toDoubleArray().forEachIndexed { index, labelDouble ->
+        yTrue.copyArray().forEachIndexed { index, labelDouble ->
             val label = labelDouble.toInt()
             onesForAnswers[intArrayOf(index, label)] = 1.0
         }
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/AlgebraND.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/AlgebraND.kt
index 30cb01146..3d2d08fac 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/AlgebraND.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/AlgebraND.kt
@@ -131,19 +131,19 @@ public interface GroupOpsND<T, out A : GroupOps<T>> : GroupOps<StructureND<T>>,
      * Adds an element to ND structure of it.
      *
      * @receiver the augend.
-     * @param arg the addend.
+     * @param other the addend.
      * @return the sum.
      */
-    public operator fun T.plus(arg: StructureND<T>): StructureND<T> = arg + this
+    public operator fun T.plus(other: StructureND<T>): StructureND<T> = other.map { value -> add(this@plus, value) }
 
     /**
      * Subtracts an ND structure from an element of it.
      *
      * @receiver the dividend.
-     * @param arg the divisor.
+     * @param other the divisor.
      * @return the quotient.
      */
-    public operator fun T.minus(arg: StructureND<T>): StructureND<T> = arg.map { value -> add(-this@minus, value) }
+    public operator fun T.minus(other: StructureND<T>): StructureND<T> = other.map { value -> add(-this@minus, value) }
 
     public companion object
 }
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferAlgebraND.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferAlgebraND.kt
index 859edefb8..cf007e7c9 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferAlgebraND.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferAlgebraND.kt
@@ -51,7 +51,7 @@ public inline fun <T, A : Algebra<T>> BufferAlgebraND<T, A>.mapInline(
     arg: BufferND<T>,
     crossinline transform: A.(T) -> T
 ): BufferND<T> {
-    val indexes = arg.indexes
+    val indexes = arg.indices
     return BufferND(indexes, bufferAlgebra.mapInline(arg.buffer, transform))
 }
 
@@ -59,7 +59,7 @@ internal inline fun <T, A : Algebra<T>> BufferAlgebraND<T, A>.mapIndexedInline(
     arg: BufferND<T>,
     crossinline transform: A.(index: IntArray, arg: T) -> T
 ): BufferND<T> {
-    val indexes = arg.indexes
+    val indexes = arg.indices
     return BufferND(
         indexes,
         bufferAlgebra.mapIndexedInline(arg.buffer) { offset, value ->
@@ -73,8 +73,8 @@ internal inline fun <T, A : Algebra<T>> BufferAlgebraND<T, A>.zipInline(
     r: BufferND<T>,
     crossinline block: A.(l: T, r: T) -> T
 ): BufferND<T> {
-    require(l.indexes == r.indexes) { "Zip requires the same shapes, but found ${l.shape} on the left and ${r.shape} on the right" }
-    val indexes = l.indexes
+    require(l.indices == r.indices) { "Zip requires the same shapes, but found ${l.shape} on the left and ${r.shape} on the right" }
+    val indexes = l.indices
     return BufferND(indexes, bufferAlgebra.zipInline(l.buffer, r.buffer, block))
 }
 
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferND.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferND.kt
index afa8f8250..2b6fd3693 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferND.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferND.kt
@@ -15,20 +15,20 @@ import space.kscience.kmath.structures.MutableBufferFactory
  * Represents [StructureND] over [Buffer].
  *
  * @param T the type of items.
- * @param indexes The strides to access elements of [Buffer] by linear indices.
+ * @param indices The strides to access elements of [Buffer] by linear indices.
  * @param buffer The underlying buffer.
  */
 public open class BufferND<out T>(
-    public val indexes: ShapeIndexer,
+    public val indices: ShapeIndexer,
     public open val buffer: Buffer<T>,
 ) : StructureND<T> {
 
-    override operator fun get(index: IntArray): T = buffer[indexes.offset(index)]
+    override operator fun get(index: IntArray): T = buffer[indices.offset(index)]
 
-    override val shape: IntArray get() = indexes.shape
+    override val shape: IntArray get() = indices.shape
 
     @PerformancePitfall
-    override fun elements(): Sequence<Pair<IntArray, T>> = indexes.indices().map {
+    override fun elements(): Sequence<Pair<IntArray, T>> = indices.indices().map {
         it to this[it]
     }
 
@@ -43,7 +43,7 @@ public inline fun <T, reified R : Any> StructureND<T>.mapToBuffer(
     crossinline transform: (T) -> R,
 ): BufferND<R> {
     return if (this is BufferND<T>)
-        BufferND(this.indexes, factory.invoke(indexes.linearSize) { transform(buffer[it]) })
+        BufferND(this.indices, factory.invoke(indices.linearSize) { transform(buffer[it]) })
     else {
         val strides = DefaultStrides(shape)
         BufferND(strides, factory.invoke(strides.linearSize) { transform(get(strides.index(it))) })
@@ -62,7 +62,7 @@ public class MutableBufferND<T>(
     override val buffer: MutableBuffer<T>,
 ) : MutableStructureND<T>, BufferND<T>(strides, buffer) {
     override fun set(index: IntArray, value: T) {
-        buffer[indexes.offset(index)] = value
+        buffer[indices.offset(index)] = value
     }
 }
 
@@ -74,7 +74,7 @@ public inline fun <T, reified R : Any> MutableStructureND<T>.mapToMutableBuffer(
     crossinline transform: (T) -> R,
 ): MutableBufferND<R> {
     return if (this is MutableBufferND<T>)
-        MutableBufferND(this.indexes, factory.invoke(indexes.linearSize) { transform(buffer[it]) })
+        MutableBufferND(this.indices, factory.invoke(indices.linearSize) { transform(buffer[it]) })
     else {
         val strides = DefaultStrides(shape)
         MutableBufferND(strides, factory.invoke(strides.linearSize) { transform(get(strides.index(it))) })
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/DoubleFieldND.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/DoubleFieldND.kt
index 853ac43b0..abb8e46ea 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/DoubleFieldND.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/DoubleFieldND.kt
@@ -33,7 +33,7 @@ public sealed class DoubleFieldOpsND : BufferedFieldOpsND<Double, DoubleField>(D
         arg: DoubleBufferND,
         transform: (Double) -> Double
     ): DoubleBufferND {
-        val indexes = arg.indexes
+        val indexes = arg.indices
         val array = arg.buffer.array
         return DoubleBufferND(indexes, DoubleBuffer(indexes.linearSize) { transform(array[it]) })
     }
@@ -43,8 +43,8 @@ public sealed class DoubleFieldOpsND : BufferedFieldOpsND<Double, DoubleField>(D
         r: DoubleBufferND,
         block: (l: Double, r: Double) -> Double
     ): DoubleBufferND {
-        require(l.indexes == r.indexes) { "Zip requires the same shapes, but found ${l.shape} on the left and ${r.shape} on the right" }
-        val indexes = l.indexes
+        require(l.indices == r.indices) { "Zip requires the same shapes, but found ${l.shape} on the left and ${r.shape} on the right" }
+        val indexes = l.indices
         val lArray = l.buffer.array
         val rArray = r.buffer.array
         return DoubleBufferND(indexes, DoubleBuffer(indexes.linearSize) { block(lArray[it], rArray[it]) })
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/StructureND.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/StructureND.kt
index b4e62366a..496abf60f 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/StructureND.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/StructureND.kt
@@ -71,7 +71,7 @@ public interface StructureND<out T> : Featured<StructureFeature> {
             if (st1 === st2) return true
 
             // fast comparison of buffers if possible
-            if (st1 is BufferND && st2 is BufferND && st1.indexes == st2.indexes)
+            if (st1 is BufferND && st2 is BufferND && st1.indices == st2.indices)
                 return Buffer.contentEquals(st1.buffer, st2.buffer)
 
             //element by element comparison if it could not be avoided
@@ -87,7 +87,7 @@ public interface StructureND<out T> : Featured<StructureFeature> {
             if (st1 === st2) return true
 
             // fast comparison of buffers if possible
-            if (st1 is BufferND && st2 is BufferND && st1.indexes == st2.indexes)
+            if (st1 is BufferND && st2 is BufferND && st1.indices == st2.indices)
                 return Buffer.contentEquals(st1.buffer, st2.buffer)
 
             //element by element comparison if it could not be avoided
diff --git a/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/realND.kt b/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/realND.kt
index 0edd51be2..56f50acbc 100644
--- a/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/realND.kt
+++ b/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/realND.kt
@@ -13,8 +13,8 @@ import space.kscience.kmath.structures.DoubleBuffer
  * Map one [BufferND] using function without indices.
  */
 public inline fun BufferND<Double>.mapInline(crossinline transform: DoubleField.(Double) -> Double): BufferND<Double> {
-    val array = DoubleArray(indexes.linearSize) { offset -> DoubleField.transform(buffer[offset]) }
-    return BufferND(indexes, DoubleBuffer(array))
+    val array = DoubleArray(indices.linearSize) { offset -> DoubleField.transform(buffer[offset]) }
+    return BufferND(indices, DoubleBuffer(array))
 }
 
 /**
diff --git a/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt b/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
index ed15199a6..3bbe8e672 100644
--- a/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
+++ b/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
@@ -16,6 +16,7 @@ import org.jetbrains.kotlinx.multik.ndarray.data.*
 import org.jetbrains.kotlinx.multik.ndarray.operations.*
 import space.kscience.kmath.misc.PerformancePitfall
 import space.kscience.kmath.nd.Shape
+import space.kscience.kmath.nd.StructureND
 import space.kscience.kmath.nd.mapInPlace
 import space.kscience.kmath.operations.*
 import space.kscience.kmath.tensors.api.Tensor
@@ -49,17 +50,17 @@ private fun <T, D : Dimension> MultiArray<T, D>.asD2Array(): D2Array<T> {
     else throw ClassCastException("Cannot cast MultiArray to NDArray.")
 }
 
-public class MultikTensorAlgebra<T : Number> internal constructor(
+public class MultikTensorAlgebra<T : Number, A: Ring<T>> internal constructor(
     public val type: DataType,
-    public val elementAlgebra: Ring<T>,
+    override val elementAlgebra: A,
     public val comparator: Comparator<T>
-) : TensorAlgebra<T> {
+) : TensorAlgebra<T, A> {
 
     /**
      * Convert a tensor to [MultikTensor] if necessary. If tensor is converted, changes on the resulting tensor
      * are not reflected back onto the source
      */
-    public fun Tensor<T>.asMultik(): MultikTensor<T> {
+    public fun StructureND<T>.asMultik(): MultikTensor<T> {
         return if (this is MultikTensor) {
             this
         } else {
@@ -73,17 +74,17 @@ public class MultikTensorAlgebra<T : Number> internal constructor(
 
     public fun MutableMultiArray<T, DN>.wrap(): MultikTensor<T> = MultikTensor(this)
 
-    override fun Tensor<T>.valueOrNull(): T? = if (shape contentEquals intArrayOf(1)) {
+    override fun StructureND<T>.valueOrNull(): T? = if (shape contentEquals intArrayOf(1)) {
         get(intArrayOf(0))
     } else null
 
-    override fun T.plus(other: Tensor<T>): MultikTensor<T> =
+    override fun T.plus(other: StructureND<T>): MultikTensor<T> =
         other.plus(this)
 
-    override fun Tensor<T>.plus(value: T): MultikTensor<T> =
+    override fun StructureND<T>.plus(value: T): MultikTensor<T> =
         asMultik().array.deepCopy().apply { plusAssign(value) }.wrap()
 
-    override fun Tensor<T>.plus(other: Tensor<T>): MultikTensor<T> =
+    override fun StructureND<T>.plus(other: StructureND<T>): MultikTensor<T> =
         asMultik().array.plus(other.asMultik().array).wrap()
 
     override fun Tensor<T>.plusAssign(value: T) {
@@ -94,7 +95,7 @@ public class MultikTensorAlgebra<T : Number> internal constructor(
         }
     }
 
-    override fun Tensor<T>.plusAssign(other: Tensor<T>) {
+    override fun Tensor<T>.plusAssign(other: StructureND<T>) {
         if (this is MultikTensor) {
             array.plusAssign(other.asMultik().array)
         } else {
@@ -102,12 +103,12 @@ public class MultikTensorAlgebra<T : Number> internal constructor(
         }
     }
 
-    override fun T.minus(other: Tensor<T>): MultikTensor<T> = (-(other.asMultik().array - this)).wrap()
+    override fun T.minus(other: StructureND<T>): MultikTensor<T> = (-(other.asMultik().array - this)).wrap()
 
-    override fun Tensor<T>.minus(value: T): MultikTensor<T> =
-        asMultik().array.deepCopy().apply { minusAssign(value) }.wrap()
+    override fun StructureND<T>.minus(arg: T): MultikTensor<T> =
+        asMultik().array.deepCopy().apply { minusAssign(arg) }.wrap()
 
-    override fun Tensor<T>.minus(other: Tensor<T>): MultikTensor<T> =
+    override fun StructureND<T>.minus(other: StructureND<T>): MultikTensor<T> =
         asMultik().array.minus(other.asMultik().array).wrap()
 
     override fun Tensor<T>.minusAssign(value: T) {
@@ -118,7 +119,7 @@ public class MultikTensorAlgebra<T : Number> internal constructor(
         }
     }
 
-    override fun Tensor<T>.minusAssign(other: Tensor<T>) {
+    override fun Tensor<T>.minusAssign(other: StructureND<T>) {
         if (this is MultikTensor) {
             array.minusAssign(other.asMultik().array)
         } else {
@@ -126,13 +127,13 @@ public class MultikTensorAlgebra<T : Number> internal constructor(
         }
     }
 
-    override fun T.times(other: Tensor<T>): MultikTensor<T> =
-        other.asMultik().array.deepCopy().apply { timesAssign(this@times) }.wrap()
+    override fun T.times(arg: StructureND<T>): MultikTensor<T> =
+        arg.asMultik().array.deepCopy().apply { timesAssign(this@times) }.wrap()
 
-    override fun Tensor<T>.times(value: T): Tensor<T> =
-        asMultik().array.deepCopy().apply { timesAssign(value) }.wrap()
+    override fun StructureND<T>.times(arg: T): Tensor<T> =
+        asMultik().array.deepCopy().apply { timesAssign(arg) }.wrap()
 
-    override fun Tensor<T>.times(other: Tensor<T>): MultikTensor<T> =
+    override fun StructureND<T>.times(other: StructureND<T>): MultikTensor<T> =
         asMultik().array.times(other.asMultik().array).wrap()
 
     override fun Tensor<T>.timesAssign(value: T) {
@@ -143,7 +144,7 @@ public class MultikTensorAlgebra<T : Number> internal constructor(
         }
     }
 
-    override fun Tensor<T>.timesAssign(other: Tensor<T>) {
+    override fun Tensor<T>.timesAssign(other: StructureND<T>) {
         if (this is MultikTensor) {
             array.timesAssign(other.asMultik().array)
         } else {
@@ -151,7 +152,7 @@ public class MultikTensorAlgebra<T : Number> internal constructor(
         }
     }
 
-    override fun Tensor<T>.unaryMinus(): MultikTensor<T> =
+    override fun StructureND<T>.unaryMinus(): MultikTensor<T> =
         asMultik().array.unaryMinus().wrap()
 
     override fun Tensor<T>.get(i: Int): MultikTensor<T> = asMultik().array.mutableView(i).wrap()
@@ -224,17 +225,17 @@ public class MultikTensorAlgebra<T : Number> internal constructor(
     }
 }
 
-public val DoubleField.multikTensorAlgebra: MultikTensorAlgebra<Double>
+public val DoubleField.multikTensorAlgebra: MultikTensorAlgebra<Double, DoubleField>
     get() = MultikTensorAlgebra(DataType.DoubleDataType, DoubleField) { o1, o2 -> o1.compareTo(o2) }
 
-public val FloatField.multikTensorAlgebra: MultikTensorAlgebra<Float>
+public val FloatField.multikTensorAlgebra: MultikTensorAlgebra<Float, FloatField>
     get() = MultikTensorAlgebra(DataType.FloatDataType, FloatField) { o1, o2 -> o1.compareTo(o2) }
 
-public val ShortRing.multikTensorAlgebra: MultikTensorAlgebra<Short>
+public val ShortRing.multikTensorAlgebra: MultikTensorAlgebra<Short, ShortRing>
     get() = MultikTensorAlgebra(DataType.ShortDataType, ShortRing) { o1, o2 -> o1.compareTo(o2) }
 
-public val IntRing.multikTensorAlgebra: MultikTensorAlgebra<Int>
+public val IntRing.multikTensorAlgebra: MultikTensorAlgebra<Int, IntRing>
     get() = MultikTensorAlgebra(DataType.IntDataType, IntRing) { o1, o2 -> o1.compareTo(o2) }
 
-public val LongRing.multikTensorAlgebra: MultikTensorAlgebra<Long>
+public val LongRing.multikTensorAlgebra: MultikTensorAlgebra<Long, LongRing>
     get() = MultikTensorAlgebra(DataType.LongDataType, LongRing) { o1, o2 -> o1.compareTo(o2) }
\ No newline at end of file
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/AnalyticTensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/AnalyticTensorAlgebra.kt
index 851810c8d..caafcc7c1 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/AnalyticTensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/AnalyticTensorAlgebra.kt
@@ -5,13 +5,15 @@
 
 package space.kscience.kmath.tensors.api
 
+import space.kscience.kmath.operations.Field
+
 
 /**
  * Analytic operations on [Tensor].
  *
  * @param T the type of items closed under analytic functions in the tensors.
  */
-public interface AnalyticTensorAlgebra<T> : TensorPartialDivisionAlgebra<T> {
+public interface AnalyticTensorAlgebra<T, A : Field<T>> : TensorPartialDivisionAlgebra<T, A> {
 
     /**
      * @return the mean of all elements in the input tensor.
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/LinearOpsTensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/LinearOpsTensorAlgebra.kt
index 78aad2189..3f32eb9ca 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/LinearOpsTensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/LinearOpsTensorAlgebra.kt
@@ -5,12 +5,14 @@
 
 package space.kscience.kmath.tensors.api
 
+import space.kscience.kmath.operations.Field
+
 /**
  * Common linear algebra operations. Operates on [Tensor].
  *
  * @param T the type of items closed under division in the tensors.
  */
-public interface LinearOpsTensorAlgebra<T> : TensorPartialDivisionAlgebra<T> {
+public interface LinearOpsTensorAlgebra<T, A : Field<T>> : TensorPartialDivisionAlgebra<T, A> {
 
     /**
      * Computes the determinant of a square matrix input, or of each square matrix in a batched input.
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt
index 810ebe777..e910c5c31 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt
@@ -5,7 +5,9 @@
 
 package space.kscience.kmath.tensors.api
 
-import space.kscience.kmath.operations.RingOps
+import space.kscience.kmath.nd.RingOpsND
+import space.kscience.kmath.nd.StructureND
+import space.kscience.kmath.operations.Ring
 
 /**
  * Algebra over a ring on [Tensor].
@@ -13,20 +15,20 @@ import space.kscience.kmath.operations.RingOps
  *
  * @param T the type of items in the tensors.
  */
-public interface TensorAlgebra<T> : RingOps<Tensor<T>> {
+public interface TensorAlgebra<T, A : Ring<T>> : RingOpsND<T, A> {
     /**
      * Returns a single tensor value of unit dimension if tensor shape equals to [1].
      *
      * @return a nullable value of a potentially scalar tensor.
      */
-    public fun Tensor<T>.valueOrNull(): T?
+    public fun StructureND<T>.valueOrNull(): T?
 
     /**
      * Returns a single tensor value of unit dimension. The tensor shape must be equal to [1].
      *
      * @return the value of a scalar tensor.
      */
-    public fun Tensor<T>.value(): T =
+    public fun StructureND<T>.value(): T =
         valueOrNull() ?: throw IllegalArgumentException("Inconsistent value for tensor of with $shape shape")
 
     /**
@@ -36,7 +38,7 @@ public interface TensorAlgebra<T> : RingOps<Tensor<T>> {
      * @param other tensor to be added.
      * @return the sum of this value and tensor [other].
      */
-    public operator fun T.plus(other: Tensor<T>): Tensor<T>
+    override operator fun T.plus(other: StructureND<T>): Tensor<T>
 
     /**
      * Adds the scalar [value] to each element of this tensor and returns a new resulting tensor.
@@ -44,7 +46,7 @@ public interface TensorAlgebra<T> : RingOps<Tensor<T>> {
      * @param value the number to be added to each element of this tensor.
      * @return the sum of this tensor and [value].
      */
-    public operator fun Tensor<T>.plus(value: T): Tensor<T>
+    override operator fun StructureND<T>.plus(value: T): Tensor<T>
 
     /**
      * Each element of the tensor [other] is added to each element of this tensor.
@@ -53,7 +55,7 @@ public interface TensorAlgebra<T> : RingOps<Tensor<T>> {
      * @param other tensor to be added.
      * @return the sum of this tensor and [other].
      */
-    override fun Tensor<T>.plus(other: Tensor<T>): Tensor<T>
+    override operator fun StructureND<T>.plus(other: StructureND<T>): Tensor<T>
 
     /**
      * Adds the scalar [value] to each element of this tensor.
@@ -67,7 +69,7 @@ public interface TensorAlgebra<T> : RingOps<Tensor<T>> {
      *
      * @param other tensor to be added.
      */
-    public operator fun Tensor<T>.plusAssign(other: Tensor<T>)
+    public operator fun Tensor<T>.plusAssign(other: StructureND<T>)
 
     /**
      * Each element of the tensor [other] is subtracted from this value.
@@ -76,15 +78,15 @@ public interface TensorAlgebra<T> : RingOps<Tensor<T>> {
      * @param other tensor to be subtracted.
      * @return the difference between this value and tensor [other].
      */
-    public operator fun T.minus(other: Tensor<T>): Tensor<T>
+    override operator fun T.minus(other: StructureND<T>): Tensor<T>
 
     /**
-     * Subtracts the scalar [value] from each element of this tensor and returns a new resulting tensor.
+     * Subtracts the scalar [arg] from each element of this tensor and returns a new resulting tensor.
      *
-     * @param value the number to be subtracted from each element of this tensor.
-     * @return the difference between this tensor and [value].
+     * @param arg the number to be subtracted from each element of this tensor.
+     * @return the difference between this tensor and [arg].
      */
-    public operator fun Tensor<T>.minus(value: T): Tensor<T>
+    override operator fun StructureND<T>.minus(arg: T): Tensor<T>
 
     /**
      * Each element of the tensor [other] is subtracted from each element of this tensor.
@@ -93,7 +95,7 @@ public interface TensorAlgebra<T> : RingOps<Tensor<T>> {
      * @param other tensor to be subtracted.
      * @return the difference between this tensor and [other].
      */
-    override fun Tensor<T>.minus(other: Tensor<T>): Tensor<T>
+    override operator fun StructureND<T>.minus(other: StructureND<T>): Tensor<T>
 
     /**
      * Subtracts the scalar [value] from each element of this tensor.
@@ -107,25 +109,25 @@ public interface TensorAlgebra<T> : RingOps<Tensor<T>> {
      *
      * @param other tensor to be subtracted.
      */
-    public operator fun Tensor<T>.minusAssign(other: Tensor<T>)
+    public operator fun Tensor<T>.minusAssign(other: StructureND<T>)
 
 
     /**
-     * Each element of the tensor [other] is multiplied by this value.
+     * Each element of the tensor [arg] is multiplied by this value.
      * The resulting tensor is returned.
      *
-     * @param other tensor to be multiplied.
-     * @return the product of this value and tensor [other].
+     * @param arg tensor to be multiplied.
+     * @return the product of this value and tensor [arg].
      */
-    public operator fun T.times(other: Tensor<T>): Tensor<T>
+    override operator fun T.times(arg: StructureND<T>): Tensor<T>
 
     /**
-     * Multiplies the scalar [value] by each element of this tensor and returns a new resulting tensor.
+     * Multiplies the scalar [arg] by each element of this tensor and returns a new resulting tensor.
      *
-     * @param value the number to be multiplied by each element of this tensor.
-     * @return the product of this tensor and [value].
+     * @param arg the number to be multiplied by each element of this tensor.
+     * @return the product of this tensor and [arg].
      */
-    public operator fun Tensor<T>.times(value: T): Tensor<T>
+    override operator fun StructureND<T>.times(arg: T): Tensor<T>
 
     /**
      * Each element of the tensor [other] is multiplied by each element of this tensor.
@@ -134,7 +136,7 @@ public interface TensorAlgebra<T> : RingOps<Tensor<T>> {
      * @param other tensor to be multiplied.
      * @return the product of this tensor and [other].
      */
-    override fun Tensor<T>.times(other: Tensor<T>): Tensor<T>
+    override operator fun StructureND<T>.times(other: StructureND<T>): Tensor<T>
 
     /**
      * Multiplies the scalar [value] by each element of this tensor.
@@ -148,14 +150,14 @@ public interface TensorAlgebra<T> : RingOps<Tensor<T>> {
      *
      * @param other tensor to be multiplied.
      */
-    public operator fun Tensor<T>.timesAssign(other: Tensor<T>)
+    public operator fun Tensor<T>.timesAssign(other: StructureND<T>)
 
     /**
      * Numerical negative, element-wise.
      *
      * @return tensor negation of the original tensor.
      */
-    override fun Tensor<T>.unaryMinus(): Tensor<T>
+    override operator fun StructureND<T>.unaryMinus(): Tensor<T>
 
     /**
      * Returns the tensor at index i
@@ -324,7 +326,7 @@ public interface TensorAlgebra<T> : RingOps<Tensor<T>> {
      */
     public fun Tensor<T>.argMax(dim: Int, keepDim: Boolean): Tensor<T>
 
-    override fun add(left: Tensor<T>, right: Tensor<T>): Tensor<T> = left + right
+    override fun add(left: StructureND<T>, right: StructureND<T>): Tensor<T> = left + right
 
-    override fun multiply(left: Tensor<T>, right: Tensor<T>): Tensor<T> = left * right
+    override fun multiply(left: StructureND<T>, right: StructureND<T>): Tensor<T> = left * right
 }
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorPartialDivisionAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorPartialDivisionAlgebra.kt
index ce519288b..43c901ed5 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorPartialDivisionAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorPartialDivisionAlgebra.kt
@@ -5,30 +5,34 @@
 
 package space.kscience.kmath.tensors.api
 
+import space.kscience.kmath.nd.FieldOpsND
+import space.kscience.kmath.nd.StructureND
+import space.kscience.kmath.operations.Field
+
 /**
  * Algebra over a field with partial division on [Tensor].
  * For more information: https://proofwiki.org/wiki/Definition:Division_Algebra
  *
  * @param T the type of items closed under division in the tensors.
  */
-public interface TensorPartialDivisionAlgebra<T> : TensorAlgebra<T> {
+public interface TensorPartialDivisionAlgebra<T, A : Field<T>> : TensorAlgebra<T, A>, FieldOpsND<T, A> {
 
     /**
-     * Each element of the tensor [other] is divided by this value.
+     * Each element of the tensor [arg] is divided by this value.
      * The resulting tensor is returned.
      *
-     * @param other tensor to divide by.
-     * @return the division of this value by the tensor [other].
+     * @param arg tensor to divide by.
+     * @return the division of this value by the tensor [arg].
      */
-    public operator fun T.div(other: Tensor<T>): Tensor<T>
+    override operator fun T.div(arg: StructureND<T>): Tensor<T>
 
     /**
-     * Divide by the scalar [value] each element of this tensor returns a new resulting tensor.
+     * Divide by the scalar [arg] each element of this tensor returns a new resulting tensor.
      *
-     * @param value the number to divide by each element of this tensor.
-     * @return the division of this tensor by the [value].
+     * @param arg the number to divide by each element of this tensor.
+     * @return the division of this tensor by the [arg].
      */
-    public operator fun Tensor<T>.div(value: T): Tensor<T>
+    override operator fun StructureND<T>.div(arg: T): Tensor<T>
 
     /**
      * Each element of the tensor [other] is divided by each element of this tensor.
@@ -37,7 +41,9 @@ public interface TensorPartialDivisionAlgebra<T> : TensorAlgebra<T> {
      * @param other tensor to be divided by.
      * @return the division of this tensor by [other].
      */
-    public operator fun Tensor<T>.div(other: Tensor<T>): Tensor<T>
+    override operator fun StructureND<T>.div(other: StructureND<T>): Tensor<T>
+
+    override fun divide(left: StructureND<T>, right: StructureND<T>): StructureND<T> = left.div(right)
 
     /**
      * Divides by the scalar [value] each element of this tensor.
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BroadcastDoubleTensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BroadcastDoubleTensorAlgebra.kt
index 3d73fd53b..f3c5d2540 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BroadcastDoubleTensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BroadcastDoubleTensorAlgebra.kt
@@ -6,6 +6,7 @@
 package space.kscience.kmath.tensors.core
 
 import space.kscience.kmath.misc.UnstableKMathAPI
+import space.kscience.kmath.nd.StructureND
 import space.kscience.kmath.tensors.api.Tensor
 import space.kscience.kmath.tensors.core.internal.array
 import space.kscience.kmath.tensors.core.internal.broadcastTensors
@@ -18,66 +19,66 @@ import space.kscience.kmath.tensors.core.internal.tensor
  */
 public object BroadcastDoubleTensorAlgebra : DoubleTensorAlgebra() {
 
-    override fun Tensor<Double>.plus(other: Tensor<Double>): DoubleTensor {
+    override fun StructureND<Double>.plus(other: StructureND<Double>): DoubleTensor {
         val broadcast = broadcastTensors(tensor, other.tensor)
         val newThis = broadcast[0]
         val newOther = broadcast[1]
-        val resBuffer = DoubleArray(newThis.linearStructure.linearSize) { i ->
+        val resBuffer = DoubleArray(newThis.indices.linearSize) { i ->
             newThis.mutableBuffer.array()[i] + newOther.mutableBuffer.array()[i]
         }
         return DoubleTensor(newThis.shape, resBuffer)
     }
 
-    override fun Tensor<Double>.plusAssign(other: Tensor<Double>) {
+    override fun Tensor<Double>.plusAssign(other: StructureND<Double>) {
         val newOther = broadcastTo(other.tensor, tensor.shape)
-        for (i in 0 until tensor.linearStructure.linearSize) {
+        for (i in 0 until tensor.indices.linearSize) {
             tensor.mutableBuffer.array()[tensor.bufferStart + i] +=
                 newOther.mutableBuffer.array()[tensor.bufferStart + i]
         }
     }
 
-    override fun Tensor<Double>.minus(other: Tensor<Double>): DoubleTensor {
+    override fun StructureND<Double>.minus(other: StructureND<Double>): DoubleTensor {
         val broadcast = broadcastTensors(tensor, other.tensor)
         val newThis = broadcast[0]
         val newOther = broadcast[1]
-        val resBuffer = DoubleArray(newThis.linearStructure.linearSize) { i ->
+        val resBuffer = DoubleArray(newThis.indices.linearSize) { i ->
             newThis.mutableBuffer.array()[i] - newOther.mutableBuffer.array()[i]
         }
         return DoubleTensor(newThis.shape, resBuffer)
     }
 
-    override fun Tensor<Double>.minusAssign(other: Tensor<Double>) {
+    override fun Tensor<Double>.minusAssign(other: StructureND<Double>) {
         val newOther = broadcastTo(other.tensor, tensor.shape)
-        for (i in 0 until tensor.linearStructure.linearSize) {
+        for (i in 0 until tensor.indices.linearSize) {
             tensor.mutableBuffer.array()[tensor.bufferStart + i] -=
                 newOther.mutableBuffer.array()[tensor.bufferStart + i]
         }
     }
 
-    override fun Tensor<Double>.times(other: Tensor<Double>): DoubleTensor {
+    override fun StructureND<Double>.times(other: StructureND<Double>): DoubleTensor {
         val broadcast = broadcastTensors(tensor, other.tensor)
         val newThis = broadcast[0]
         val newOther = broadcast[1]
-        val resBuffer = DoubleArray(newThis.linearStructure.linearSize) { i ->
+        val resBuffer = DoubleArray(newThis.indices.linearSize) { i ->
             newThis.mutableBuffer.array()[newThis.bufferStart + i] *
                     newOther.mutableBuffer.array()[newOther.bufferStart + i]
         }
         return DoubleTensor(newThis.shape, resBuffer)
     }
 
-    override fun Tensor<Double>.timesAssign(other: Tensor<Double>) {
+    override fun Tensor<Double>.timesAssign(other: StructureND<Double>) {
         val newOther = broadcastTo(other.tensor, tensor.shape)
-        for (i in 0 until tensor.linearStructure.linearSize) {
+        for (i in 0 until tensor.indices.linearSize) {
             tensor.mutableBuffer.array()[tensor.bufferStart + i] *=
                 newOther.mutableBuffer.array()[tensor.bufferStart + i]
         }
     }
 
-    override fun Tensor<Double>.div(other: Tensor<Double>): DoubleTensor {
+    override fun StructureND<Double>.div(other: StructureND<Double>): DoubleTensor {
         val broadcast = broadcastTensors(tensor, other.tensor)
         val newThis = broadcast[0]
         val newOther = broadcast[1]
-        val resBuffer = DoubleArray(newThis.linearStructure.linearSize) { i ->
+        val resBuffer = DoubleArray(newThis.indices.linearSize) { i ->
             newThis.mutableBuffer.array()[newOther.bufferStart + i] /
                     newOther.mutableBuffer.array()[newOther.bufferStart + i]
         }
@@ -86,7 +87,7 @@ public object BroadcastDoubleTensorAlgebra : DoubleTensorAlgebra() {
 
     override fun Tensor<Double>.divAssign(other: Tensor<Double>) {
         val newOther = broadcastTo(other.tensor, tensor.shape)
-        for (i in 0 until tensor.linearStructure.linearSize) {
+        for (i in 0 until tensor.indices.linearSize) {
             tensor.mutableBuffer.array()[tensor.bufferStart + i] /=
                 newOther.mutableBuffer.array()[tensor.bufferStart + i]
         }
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BufferedTensor.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BufferedTensor.kt
index bf9a9f7f7..ba3331067 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BufferedTensor.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BufferedTensor.kt
@@ -23,23 +23,23 @@ public open class BufferedTensor<T> internal constructor(
     /**
      * Buffer strides based on [TensorLinearStructure] implementation
      */
-    public val linearStructure: Strides
+    public val indices: Strides
         get() = TensorLinearStructure(shape)
 
     /**
      * Number of elements in tensor
      */
     public val numElements: Int
-        get() = linearStructure.linearSize
+        get() = indices.linearSize
 
-    override fun get(index: IntArray): T = mutableBuffer[bufferStart + linearStructure.offset(index)]
+    override fun get(index: IntArray): T = mutableBuffer[bufferStart + indices.offset(index)]
 
     override fun set(index: IntArray, value: T) {
-        mutableBuffer[bufferStart + linearStructure.offset(index)] = value
+        mutableBuffer[bufferStart + indices.offset(index)] = value
     }
 
     @PerformancePitfall
-    override fun elements(): Sequence<Pair<IntArray, T>> = linearStructure.indices().map {
+    override fun elements(): Sequence<Pair<IntArray, T>> = indices.indices().map {
         it to get(it)
     }
 }
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
index 16ed4b834..472db8f5f 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
@@ -6,8 +6,10 @@
 package space.kscience.kmath.tensors.core
 
 import space.kscience.kmath.nd.MutableStructure2D
+import space.kscience.kmath.nd.StructureND
 import space.kscience.kmath.nd.as1D
 import space.kscience.kmath.nd.as2D
+import space.kscience.kmath.operations.DoubleField
 import space.kscience.kmath.structures.indices
 import space.kscience.kmath.tensors.api.AnalyticTensorAlgebra
 import space.kscience.kmath.tensors.api.LinearOpsTensorAlgebra
@@ -20,16 +22,71 @@ import kotlin.math.*
  * Implementation of basic operations over double tensors and basic algebra operations on them.
  */
 public open class DoubleTensorAlgebra :
-    TensorPartialDivisionAlgebra<Double>,
-    AnalyticTensorAlgebra<Double>,
-    LinearOpsTensorAlgebra<Double>{
+    TensorPartialDivisionAlgebra<Double, DoubleField>,
+    AnalyticTensorAlgebra<Double, DoubleField>,
+    LinearOpsTensorAlgebra<Double, DoubleField> {
 
     public companion object : DoubleTensorAlgebra()
 
-    override fun Tensor<Double>.valueOrNull(): Double? = if (tensor.shape contentEquals intArrayOf(1))
+    override val elementAlgebra: DoubleField
+        get() = DoubleField
+
+
+    /**
+     * Applies the [transform] function to each element of the tensor and returns the resulting modified tensor.
+     *
+     * @param transform the function to be applied to each element of the tensor.
+     * @return the resulting tensor after applying the function.
+     */
+    @Suppress("OVERRIDE_BY_INLINE")
+    final override inline fun StructureND<Double>.map(transform: DoubleField.(Double) -> Double): DoubleTensor {
+        val tensor = this.tensor
+        //TODO remove additional copy
+        val sourceArray = tensor.copyArray()
+        val array = DoubleArray(tensor.numElements) { DoubleField.transform(sourceArray[it]) }
+        return DoubleTensor(
+            tensor.shape,
+            array,
+            tensor.bufferStart
+        )
+    }
+
+    @Suppress("OVERRIDE_BY_INLINE")
+    final override inline fun StructureND<Double>.mapIndexed(transform: DoubleField.(index: IntArray, Double) -> Double): DoubleTensor {
+        val tensor = this.tensor
+        //TODO remove additional copy
+        val sourceArray = tensor.copyArray()
+        val array = DoubleArray(tensor.numElements) { DoubleField.transform(tensor.indices.index(it), sourceArray[it]) }
+        return DoubleTensor(
+            tensor.shape,
+            array,
+            tensor.bufferStart
+        )
+    }
+
+    override fun zip(
+        left: StructureND<Double>,
+        right: StructureND<Double>,
+        transform: DoubleField.(Double, Double) -> Double
+    ): DoubleTensor {
+        require(left.shape.contentEquals(right.shape)){
+            "The shapes in zip are not equal: left - ${left.shape}, right - ${right.shape}"
+        }
+        val leftTensor = left.tensor
+        val leftArray = leftTensor.copyArray()
+        val rightTensor = right.tensor
+        val rightArray = rightTensor.copyArray()
+        val array = DoubleArray(leftTensor.numElements) { DoubleField.transform(leftArray[it], rightArray[it]) }
+        return DoubleTensor(
+            leftTensor.shape,
+            array
+        )
+    }
+
+    override fun StructureND<Double>.valueOrNull(): Double? = if (tensor.shape contentEquals intArrayOf(1))
         tensor.mutableBuffer.array()[tensor.bufferStart] else null
 
-    override fun Tensor<Double>.value(): Double = valueOrNull()
+    override fun StructureND<Double>.value(): Double = valueOrNull()
         ?: throw IllegalArgumentException("The tensor shape is $shape, but value method is allowed only for shape [1]")
 
     /**
@@ -53,11 +110,10 @@ public open class DoubleTensorAlgebra :
      * @param initializer mapping tensor indices to values.
      * @return tensor with the [shape] shape and data generated by the [initializer].
      */
-    public fun produce(shape: IntArray, initializer: (IntArray) -> Double): DoubleTensor =
-        fromArray(
-            shape,
-            TensorLinearStructure(shape).indices().map(initializer).toMutableList().toDoubleArray()
-        )
+    override fun structureND(shape: IntArray, initializer: DoubleField.(IntArray) -> Double): DoubleTensor = fromArray(
+        shape,
+        TensorLinearStructure(shape).indices().map { DoubleField.initializer(it) }.toMutableList().toDoubleArray()
+    )
 
     override operator fun Tensor<Double>.get(i: Int): DoubleTensor {
         val lastShape = tensor.shape.drop(1).toIntArray()
@@ -146,16 +202,16 @@ public open class DoubleTensorAlgebra :
         return DoubleTensor(tensor.shape, tensor.mutableBuffer.array().copyOf(), tensor.bufferStart)
     }
 
-    override fun Double.plus(other: Tensor<Double>): DoubleTensor {
+    override fun Double.plus(other: StructureND<Double>): DoubleTensor {
         val resBuffer = DoubleArray(other.tensor.numElements) { i ->
             other.tensor.mutableBuffer.array()[other.tensor.bufferStart + i] + this
         }
         return DoubleTensor(other.shape, resBuffer)
     }
 
-    override fun Tensor<Double>.plus(value: Double): DoubleTensor = value + tensor
+    override fun StructureND<Double>.plus(value: Double): DoubleTensor = value + tensor
 
-    override fun Tensor<Double>.plus(other: Tensor<Double>): DoubleTensor {
+    override fun StructureND<Double>.plus(other: StructureND<Double>): DoubleTensor {
         checkShapesCompatible(tensor, other.tensor)
         val resBuffer = DoubleArray(tensor.numElements) { i ->
             tensor.mutableBuffer.array()[i] + other.tensor.mutableBuffer.array()[i]
@@ -169,7 +225,7 @@ public open class DoubleTensorAlgebra :
         }
     }
 
-    override fun Tensor<Double>.plusAssign(other: Tensor<Double>) {
+    override fun Tensor<Double>.plusAssign(other: StructureND<Double>) {
         checkShapesCompatible(tensor, other.tensor)
         for (i in 0 until tensor.numElements) {
             tensor.mutableBuffer.array()[tensor.bufferStart + i] +=
@@ -177,21 +233,21 @@ public open class DoubleTensorAlgebra :
         }
     }
 
-    override fun Double.minus(other: Tensor<Double>): DoubleTensor {
+    override fun Double.minus(other: StructureND<Double>): DoubleTensor {
         val resBuffer = DoubleArray(other.tensor.numElements) { i ->
             this - other.tensor.mutableBuffer.array()[other.tensor.bufferStart + i]
         }
         return DoubleTensor(other.shape, resBuffer)
     }
 
-    override fun Tensor<Double>.minus(value: Double): DoubleTensor {
+    override fun StructureND<Double>.minus(arg: Double): DoubleTensor {
         val resBuffer = DoubleArray(tensor.numElements) { i ->
-            tensor.mutableBuffer.array()[tensor.bufferStart + i] - value
+            tensor.mutableBuffer.array()[tensor.bufferStart + i] - arg
         }
         return DoubleTensor(tensor.shape, resBuffer)
     }
 
-    override fun Tensor<Double>.minus(other: Tensor<Double>): DoubleTensor {
+    override fun StructureND<Double>.minus(other: StructureND<Double>): DoubleTensor {
         checkShapesCompatible(tensor, other)
         val resBuffer = DoubleArray(tensor.numElements) { i ->
             tensor.mutableBuffer.array()[i] - other.tensor.mutableBuffer.array()[i]
@@ -205,7 +261,7 @@ public open class DoubleTensorAlgebra :
         }
     }
 
-    override fun Tensor<Double>.minusAssign(other: Tensor<Double>) {
+    override fun Tensor<Double>.minusAssign(other: StructureND<Double>) {
         checkShapesCompatible(tensor, other)
         for (i in 0 until tensor.numElements) {
             tensor.mutableBuffer.array()[tensor.bufferStart + i] -=
@@ -213,16 +269,16 @@ public open class DoubleTensorAlgebra :
         }
     }
 
-    override fun Double.times(other: Tensor<Double>): DoubleTensor {
-        val resBuffer = DoubleArray(other.tensor.numElements) { i ->
-            other.tensor.mutableBuffer.array()[other.tensor.bufferStart + i] * this
+    override fun Double.times(arg: StructureND<Double>): DoubleTensor {
+        val resBuffer = DoubleArray(arg.tensor.numElements) { i ->
+            arg.tensor.mutableBuffer.array()[arg.tensor.bufferStart + i] * this
         }
-        return DoubleTensor(other.shape, resBuffer)
+        return DoubleTensor(arg.shape, resBuffer)
     }
 
-    override fun Tensor<Double>.times(value: Double): DoubleTensor = value * tensor
+    override fun StructureND<Double>.times(arg: Double): DoubleTensor = arg * tensor
 
-    override fun Tensor<Double>.times(other: Tensor<Double>): DoubleTensor {
+    override fun StructureND<Double>.times(other: StructureND<Double>): DoubleTensor {
         checkShapesCompatible(tensor, other)
         val resBuffer = DoubleArray(tensor.numElements) { i ->
             tensor.mutableBuffer.array()[tensor.bufferStart + i] *
@@ -237,7 +293,7 @@ public open class DoubleTensorAlgebra :
         }
     }
 
-    override fun Tensor<Double>.timesAssign(other: Tensor<Double>) {
+    override fun Tensor<Double>.timesAssign(other: StructureND<Double>) {
         checkShapesCompatible(tensor, other)
         for (i in 0 until tensor.numElements) {
             tensor.mutableBuffer.array()[tensor.bufferStart + i] *=
@@ -245,21 +301,21 @@ public open class DoubleTensorAlgebra :
         }
     }
 
-    override fun Double.div(other: Tensor<Double>): DoubleTensor {
-        val resBuffer = DoubleArray(other.tensor.numElements) { i ->
-            this / other.tensor.mutableBuffer.array()[other.tensor.bufferStart + i]
+    override fun Double.div(arg: StructureND<Double>): DoubleTensor {
+        val resBuffer = DoubleArray(arg.tensor.numElements) { i ->
+            this / arg.tensor.mutableBuffer.array()[arg.tensor.bufferStart + i]
         }
-        return DoubleTensor(other.shape, resBuffer)
+        return DoubleTensor(arg.shape, resBuffer)
     }
 
-    override fun Tensor<Double>.div(value: Double): DoubleTensor {
+    override fun StructureND<Double>.div(arg: Double): DoubleTensor {
         val resBuffer = DoubleArray(tensor.numElements) { i ->
-            tensor.mutableBuffer.array()[tensor.bufferStart + i] / value
+            tensor.mutableBuffer.array()[tensor.bufferStart + i] / arg
         }
         return DoubleTensor(shape, resBuffer)
     }
 
-    override fun Tensor<Double>.div(other: Tensor<Double>): DoubleTensor {
+    override fun StructureND<Double>.div(other: StructureND<Double>): DoubleTensor {
         checkShapesCompatible(tensor, other)
         val resBuffer = DoubleArray(tensor.numElements) { i ->
             tensor.mutableBuffer.array()[other.tensor.bufferStart + i] /
@@ -282,7 +338,7 @@ public open class DoubleTensorAlgebra :
         }
     }
 
-    override fun Tensor<Double>.unaryMinus(): DoubleTensor {
+    override fun StructureND<Double>.unaryMinus(): DoubleTensor {
         val resBuffer = DoubleArray(tensor.numElements) { i ->
             tensor.mutableBuffer.array()[tensor.bufferStart + i].unaryMinus()
         }
@@ -302,11 +358,11 @@ public open class DoubleTensorAlgebra :
         val resTensor = DoubleTensor(resShape, resBuffer)
 
         for (offset in 0 until n) {
-            val oldMultiIndex = tensor.linearStructure.index(offset)
+            val oldMultiIndex = tensor.indices.index(offset)
             val newMultiIndex = oldMultiIndex.copyOf()
             newMultiIndex[ii] = newMultiIndex[jj].also { newMultiIndex[jj] = newMultiIndex[ii] }
 
-            val linearIndex = resTensor.linearStructure.offset(newMultiIndex)
+            val linearIndex = resTensor.indices.offset(newMultiIndex)
             resTensor.mutableBuffer.array()[linearIndex] =
                 tensor.mutableBuffer.array()[tensor.bufferStart + offset]
         }
@@ -406,7 +462,7 @@ public open class DoubleTensorAlgebra :
         val resTensor = zeros(resShape)
 
         for (i in 0 until diagonalEntries.tensor.numElements) {
-            val multiIndex = diagonalEntries.tensor.linearStructure.index(i)
+            val multiIndex = diagonalEntries.tensor.indices.index(i)
 
             var offset1 = 0
             var offset2 = abs(realOffset)
@@ -425,18 +481,6 @@ public open class DoubleTensorAlgebra :
         return resTensor.tensor
     }
 
-    /**
-     * Applies the [transform] function to each element of the tensor and returns the resulting modified tensor.
-     *
-     * @param transform the function to be applied to each element of the tensor.
-     * @return the resulting tensor after applying the function.
-     */
-    public inline fun Tensor<Double>.map(transform: (Double) -> Double): DoubleTensor = DoubleTensor(
-        tensor.shape,
-        tensor.mutableBuffer.array().map { transform(it) }.toDoubleArray(),
-        tensor.bufferStart
-    )
-
     /**
      * Compares element-wise two tensors with a specified precision.
      *
@@ -526,7 +570,7 @@ public open class DoubleTensorAlgebra :
     public fun Tensor<Double>.rowsByIndices(indices: IntArray): DoubleTensor = stack(indices.map { this[it] })
 
     internal inline fun Tensor<Double>.fold(foldFunction: (DoubleArray) -> Double): Double =
-        foldFunction(tensor.toDoubleArray())
+        foldFunction(tensor.copyArray())
 
     internal inline fun Tensor<Double>.foldDim(
         foldFunction: (DoubleArray) -> Double,
@@ -541,7 +585,7 @@ public open class DoubleTensorAlgebra :
         }
         val resNumElements = resShape.reduce(Int::times)
         val resTensor = DoubleTensor(resShape, DoubleArray(resNumElements) { 0.0 }, 0)
-        for (index in resTensor.linearStructure.indices()) {
+        for (index in resTensor.indices.indices()) {
             val prefix = index.take(dim).toIntArray()
             val suffix = index.takeLast(dimension - dim - 1).toIntArray()
             resTensor[index] = foldFunction(DoubleArray(shape[dim]) { i ->
@@ -645,39 +689,39 @@ public open class DoubleTensorAlgebra :
         return resTensor
     }
 
-    override fun Tensor<Double>.exp(): DoubleTensor = tensor.map(::exp)
+    override fun Tensor<Double>.exp(): DoubleTensor = tensor.map { exp(it) }
 
-    override fun Tensor<Double>.ln(): DoubleTensor = tensor.map(::ln)
+    override fun Tensor<Double>.ln(): DoubleTensor = tensor.map { ln(it) }
 
-    override fun Tensor<Double>.sqrt(): DoubleTensor = tensor.map(::sqrt)
+    override fun Tensor<Double>.sqrt(): DoubleTensor = tensor.map { sqrt(it) }
 
-    override fun Tensor<Double>.cos(): DoubleTensor = tensor.map(::cos)
+    override fun Tensor<Double>.cos(): DoubleTensor = tensor.map { cos(it) }
 
-    override fun Tensor<Double>.acos(): DoubleTensor = tensor.map(::acos)
+    override fun Tensor<Double>.acos(): DoubleTensor = tensor.map { acos(it) }
 
-    override fun Tensor<Double>.cosh(): DoubleTensor = tensor.map(::cosh)
+    override fun Tensor<Double>.cosh(): DoubleTensor = tensor.map { cosh(it) }
 
-    override fun Tensor<Double>.acosh(): DoubleTensor = tensor.map(::acosh)
+    override fun Tensor<Double>.acosh(): DoubleTensor = tensor.map { acosh(it) }
 
-    override fun Tensor<Double>.sin(): DoubleTensor = tensor.map(::sin)
+    override fun Tensor<Double>.sin(): DoubleTensor = tensor.map { sin(it) }
 
-    override fun Tensor<Double>.asin(): DoubleTensor = tensor.map(::asin)
+    override fun Tensor<Double>.asin(): DoubleTensor = tensor.map { asin(it) }
 
-    override fun Tensor<Double>.sinh(): DoubleTensor = tensor.map(::sinh)
+    override fun Tensor<Double>.sinh(): DoubleTensor = tensor.map { sinh(it) }
 
-    override fun Tensor<Double>.asinh(): DoubleTensor = tensor.map(::asinh)
+    override fun Tensor<Double>.asinh(): DoubleTensor = tensor.map { asinh(it) }
 
-    override fun Tensor<Double>.tan(): DoubleTensor = tensor.map(::tan)
+    override fun Tensor<Double>.tan(): DoubleTensor = tensor.map { tan(it) }
 
-    override fun Tensor<Double>.atan(): DoubleTensor = tensor.map(::atan)
+    override fun Tensor<Double>.atan(): DoubleTensor = tensor.map { atan(it) }
 
-    override fun Tensor<Double>.tanh(): DoubleTensor = tensor.map(::tanh)
+    override fun Tensor<Double>.tanh(): DoubleTensor = tensor.map { tanh(it) }
 
-    override fun Tensor<Double>.atanh(): DoubleTensor = tensor.map(::atanh)
+    override fun Tensor<Double>.atanh(): DoubleTensor = tensor.map { atanh(it) }
 
-    override fun Tensor<Double>.ceil(): DoubleTensor = tensor.map(::ceil)
+    override fun Tensor<Double>.ceil(): DoubleTensor = tensor.map { ceil(it) }
 
-    override fun Tensor<Double>.floor(): DoubleTensor = tensor.map(::floor)
+    override fun Tensor<Double>.floor(): DoubleTensor = tensor.map { floor(it) }
 
     override fun Tensor<Double>.inv(): DoubleTensor = invLU(1e-9)
 
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/broadcastUtils.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/broadcastUtils.kt
index 4b9c0c382..3787c0972 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/broadcastUtils.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/broadcastUtils.kt
@@ -10,7 +10,7 @@ import kotlin.math.max
 
 internal fun multiIndexBroadCasting(tensor: DoubleTensor, resTensor: DoubleTensor, linearSize: Int) {
     for (linearIndex in 0 until linearSize) {
-        val totalMultiIndex = resTensor.linearStructure.index(linearIndex)
+        val totalMultiIndex = resTensor.indices.index(linearIndex)
         val curMultiIndex = tensor.shape.copyOf()
 
         val offset = totalMultiIndex.size - curMultiIndex.size
@@ -23,7 +23,7 @@ internal fun multiIndexBroadCasting(tensor: DoubleTensor, resTensor: DoubleTenso
             }
         }
 
-        val curLinearIndex = tensor.linearStructure.offset(curMultiIndex)
+        val curLinearIndex = tensor.indices.offset(curMultiIndex)
         resTensor.mutableBuffer.array()[linearIndex] =
             tensor.mutableBuffer.array()[tensor.bufferStart + curLinearIndex]
     }
@@ -112,7 +112,7 @@ internal fun broadcastOuterTensors(vararg tensors: DoubleTensor): List<DoubleTen
             val resTensor = DoubleTensor(totalShape + matrixShape, DoubleArray(n * matrixSize))
 
             for (linearIndex in 0 until n) {
-                val totalMultiIndex = outerTensor.linearStructure.index(linearIndex)
+                val totalMultiIndex = outerTensor.indices.index(linearIndex)
                 var curMultiIndex = tensor.shape.sliceArray(0..tensor.shape.size - 3).copyOf()
                 curMultiIndex = IntArray(totalMultiIndex.size - curMultiIndex.size) { 1 } + curMultiIndex
 
@@ -127,13 +127,13 @@ internal fun broadcastOuterTensors(vararg tensors: DoubleTensor): List<DoubleTen
                 }
 
                 for (i in 0 until matrixSize) {
-                    val curLinearIndex = newTensor.linearStructure.offset(
+                    val curLinearIndex = newTensor.indices.offset(
                         curMultiIndex +
-                                matrix.linearStructure.index(i)
+                                matrix.indices.index(i)
                     )
-                    val newLinearIndex = resTensor.linearStructure.offset(
+                    val newLinearIndex = resTensor.indices.offset(
                         totalMultiIndex +
-                                matrix.linearStructure.index(i)
+                                matrix.indices.index(i)
                     )
 
                     resTensor.mutableBuffer.array()[resTensor.bufferStart + newLinearIndex] =
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/checks.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/checks.kt
index e901415d1..3a3b30485 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/checks.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/checks.kt
@@ -5,6 +5,7 @@
 
 package space.kscience.kmath.tensors.core.internal
 
+import space.kscience.kmath.nd.StructureND
 import space.kscience.kmath.tensors.api.Tensor
 import space.kscience.kmath.tensors.core.DoubleTensor
 import space.kscience.kmath.tensors.core.DoubleTensorAlgebra
@@ -25,7 +26,7 @@ internal fun checkBufferShapeConsistency(shape: IntArray, buffer: DoubleArray) =
         "Inconsistent shape ${shape.toList()} for buffer of size ${buffer.size} provided"
     }
 
-internal fun <T> checkShapesCompatible(a: Tensor<T>, b: Tensor<T>) =
+internal fun <T> checkShapesCompatible(a: StructureND<T>, b: StructureND<T>) =
     check(a.shape contentEquals b.shape) {
         "Incompatible shapes ${a.shape.toList()} and ${b.shape.toList()} "
     }
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/tensorCastsUtils.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/tensorCastsUtils.kt
index 1f5778d5e..4123ff923 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/tensorCastsUtils.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/tensorCastsUtils.kt
@@ -6,6 +6,7 @@
 package space.kscience.kmath.tensors.core.internal
 
 import space.kscience.kmath.nd.MutableBufferND
+import space.kscience.kmath.nd.StructureND
 import space.kscience.kmath.structures.asMutableBuffer
 import space.kscience.kmath.tensors.api.Tensor
 import space.kscience.kmath.tensors.core.BufferedTensor
@@ -18,15 +19,15 @@ internal fun BufferedTensor<Int>.asTensor(): IntTensor =
 internal fun BufferedTensor<Double>.asTensor(): DoubleTensor =
     DoubleTensor(this.shape, this.mutableBuffer.array(), this.bufferStart)
 
-internal fun <T> Tensor<T>.copyToBufferedTensor(): BufferedTensor<T> =
+internal fun <T> StructureND<T>.copyToBufferedTensor(): BufferedTensor<T> =
     BufferedTensor(
         this.shape,
         TensorLinearStructure(this.shape).indices().map(this::get).toMutableList().asMutableBuffer(), 0
     )
 
-internal fun <T> Tensor<T>.toBufferedTensor(): BufferedTensor<T> = when (this) {
+internal fun <T> StructureND<T>.toBufferedTensor(): BufferedTensor<T> = when (this) {
     is BufferedTensor<T> -> this
-    is MutableBufferND<T> -> if (this.indexes == TensorLinearStructure(this.shape)) {
+    is MutableBufferND<T> -> if (this.indices == TensorLinearStructure(this.shape)) {
         BufferedTensor(this.shape, this.buffer, 0)
     } else {
         this.copyToBufferedTensor()
@@ -35,7 +36,7 @@ internal fun <T> Tensor<T>.toBufferedTensor(): BufferedTensor<T> = when (this) {
 }
 
 @PublishedApi
-internal val Tensor<Double>.tensor: DoubleTensor
+internal val StructureND<Double>.tensor: DoubleTensor
     get() = when (this) {
         is DoubleTensor -> this
         else -> this.toBufferedTensor().asTensor()
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/utils.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/utils.kt
index 8428dae5c..553ed6add 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/utils.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/utils.kt
@@ -85,7 +85,7 @@ internal fun format(value: Double, digits: Int = 4): String = buildString {
 internal fun DoubleTensor.toPrettyString(): String = buildString {
     var offset = 0
     val shape = this@toPrettyString.shape
-    val linearStructure = this@toPrettyString.linearStructure
+    val linearStructure = this@toPrettyString.indices
     val vectorSize = shape.last()
     append("DoubleTensor(\n")
     var charOffset = 3
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/tensorCasts.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/tensorCasts.kt
index 021ca539c..feade56de 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/tensorCasts.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/tensorCasts.kt
@@ -19,18 +19,19 @@ public fun Tensor<Double>.toDoubleTensor(): DoubleTensor = this.tensor
 public fun Tensor<Int>.toIntTensor(): IntTensor = this.tensor
 
 /**
- * Returns [DoubleArray] of tensor elements
+ * Returns a copy-protected [DoubleArray] of tensor elements
  */
-public fun DoubleTensor.toDoubleArray(): DoubleArray {
+public fun DoubleTensor.copyArray(): DoubleArray {
+    //TODO use ArrayCopy
     return DoubleArray(numElements) { i ->
         mutableBuffer[bufferStart + i]
     }
 }
 
 /**
- * Returns [IntArray] of tensor elements
+ * Returns a copy-protected [IntArray] of tensor elements
  */
-public fun IntTensor.toIntArray(): IntArray {
+public fun IntTensor.copyArray(): IntArray {
     return IntArray(numElements) { i ->
         mutableBuffer[bufferStart + i]
     }

From 4635cd3fb3eaab8aac97936b50a08d463e7f91c6 Mon Sep 17 00:00:00 2001
From: darksnake <altavir@gmail.com>
Date: Tue, 26 Oct 2021 16:08:02 +0300
Subject: [PATCH 08/44] Refactor TensorAlgebra to take StructureND and inherit
 AlgebraND

---
 .../kscience/kmath/nd4j/Nd4jTensorAlgebra.kt  | 123 +++++++++++-------
 .../api/TensorPartialDivisionAlgebra.kt       |   2 +-
 .../kmath/tensors/core/DoubleTensorAlgebra.kt |   2 +-
 3 files changed, 76 insertions(+), 51 deletions(-)

diff --git a/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jTensorAlgebra.kt b/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jTensorAlgebra.kt
index ee9251dd1..e40ea3dbc 100644
--- a/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jTensorAlgebra.kt
+++ b/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jTensorAlgebra.kt
@@ -13,7 +13,10 @@ import org.nd4j.linalg.factory.Nd4j
 import org.nd4j.linalg.factory.ops.NDBase
 import org.nd4j.linalg.ops.transforms.Transforms
 import space.kscience.kmath.misc.PerformancePitfall
+import space.kscience.kmath.nd.Shape
 import space.kscience.kmath.nd.StructureND
+import space.kscience.kmath.operations.DoubleField
+import space.kscience.kmath.operations.Field
 import space.kscience.kmath.tensors.api.AnalyticTensorAlgebra
 import space.kscience.kmath.tensors.api.Tensor
 import space.kscience.kmath.tensors.api.TensorAlgebra
@@ -22,7 +25,24 @@ import space.kscience.kmath.tensors.core.DoubleTensorAlgebra
 /**
  * ND4J based [TensorAlgebra] implementation.
  */
-public sealed interface Nd4jTensorAlgebra<T : Number> : AnalyticTensorAlgebra<T> {
+public sealed interface Nd4jTensorAlgebra<T : Number, A : Field<T>> : AnalyticTensorAlgebra<T, A> {
+
+    override fun structureND(shape: Shape, initializer: A.(IntArray) -> T): Nd4jArrayStructure<T> {
+        val array =
+    }
+
+    override fun StructureND<T>.map(transform: A.(T) -> T): Nd4jArrayStructure<T> {
+        TODO("Not yet implemented")
+    }
+
+    override fun StructureND<T>.mapIndexed(transform: A.(index: IntArray, T) -> T): Nd4jArrayStructure<T> {
+        TODO("Not yet implemented")
+    }
+
+    override fun zip(left: StructureND<T>, right: StructureND<T>, transform: A.(T, T) -> T): Nd4jArrayStructure<T> {
+        TODO("Not yet implemented")
+    }
+
     /**
      * Wraps [INDArray] to [Nd4jArrayStructure].
      */
@@ -33,105 +53,107 @@ public sealed interface Nd4jTensorAlgebra<T : Number> : AnalyticTensorAlgebra<T>
      */
     public val StructureND<T>.ndArray: INDArray
 
-    override fun T.plus(other: Tensor<T>): Tensor<T> = other.ndArray.add(this).wrap()
-    override fun Tensor<T>.plus(value: T): Tensor<T> = ndArray.add(value).wrap()
+    override fun T.plus(other: StructureND<T>): Nd4jArrayStructure<T> = other.ndArray.add(this).wrap()
+    override fun StructureND<T>.plus(value: T): Nd4jArrayStructure<T> = ndArray.add(value).wrap()
 
-    override fun Tensor<T>.plus(other: Tensor<T>): Tensor<T> = ndArray.add(other.ndArray).wrap()
+    override fun StructureND<T>.plus(other: StructureND<T>): Nd4jArrayStructure<T> = ndArray.add(other.ndArray).wrap()
 
     override fun Tensor<T>.plusAssign(value: T) {
         ndArray.addi(value)
     }
 
-    override fun Tensor<T>.plusAssign(other: Tensor<T>) {
+    override fun Tensor<T>.plusAssign(other: StructureND<T>) {
         ndArray.addi(other.ndArray)
     }
 
-    override fun T.minus(other: Tensor<T>): Tensor<T> = other.ndArray.rsub(this).wrap()
-    override fun Tensor<T>.minus(value: T): Tensor<T> = ndArray.sub(value).wrap()
-    override fun Tensor<T>.minus(other: Tensor<T>): Tensor<T> = ndArray.sub(other.ndArray).wrap()
+    override fun T.minus(other: StructureND<T>): Nd4jArrayStructure<T> = other.ndArray.rsub(this).wrap()
+    override fun StructureND<T>.minus(arg: T): Nd4jArrayStructure<T> = ndArray.sub(arg).wrap()
+    override fun StructureND<T>.minus(other: StructureND<T>): Nd4jArrayStructure<T> = ndArray.sub(other.ndArray).wrap()
 
     override fun Tensor<T>.minusAssign(value: T) {
         ndArray.rsubi(value)
     }
 
-    override fun Tensor<T>.minusAssign(other: Tensor<T>) {
+    override fun Tensor<T>.minusAssign(other: StructureND<T>) {
         ndArray.subi(other.ndArray)
     }
 
-    override fun T.times(other: Tensor<T>): Tensor<T> = other.ndArray.mul(this).wrap()
+    override fun T.times(arg: StructureND<T>): Nd4jArrayStructure<T> = arg.ndArray.mul(this).wrap()
 
-    override fun Tensor<T>.times(value: T): Tensor<T> =
-        ndArray.mul(value).wrap()
+    override fun StructureND<T>.times(arg: T): Nd4jArrayStructure<T> =
+        ndArray.mul(arg).wrap()
 
-    override fun Tensor<T>.times(other: Tensor<T>): Tensor<T> = ndArray.mul(other.ndArray).wrap()
+    override fun StructureND<T>.times(other: StructureND<T>): Nd4jArrayStructure<T> = ndArray.mul(other.ndArray).wrap()
 
     override fun Tensor<T>.timesAssign(value: T) {
         ndArray.muli(value)
     }
 
-    override fun Tensor<T>.timesAssign(other: Tensor<T>) {
+    override fun Tensor<T>.timesAssign(other: StructureND<T>) {
         ndArray.mmuli(other.ndArray)
     }
 
-    override fun Tensor<T>.unaryMinus(): Tensor<T> = ndArray.neg().wrap()
-    override fun Tensor<T>.get(i: Int): Tensor<T> = ndArray.slice(i.toLong()).wrap()
-    override fun Tensor<T>.transpose(i: Int, j: Int): Tensor<T> = ndArray.swapAxes(i, j).wrap()
-    override fun Tensor<T>.dot(other: Tensor<T>): Tensor<T> = ndArray.mmul(other.ndArray).wrap()
+    override fun StructureND<T>.unaryMinus(): Nd4jArrayStructure<T> = ndArray.neg().wrap()
+    override fun Tensor<T>.get(i: Int): Nd4jArrayStructure<T> = ndArray.slice(i.toLong()).wrap()
+    override fun Tensor<T>.transpose(i: Int, j: Int): Nd4jArrayStructure<T> = ndArray.swapAxes(i, j).wrap()
+    override fun Tensor<T>.dot(other: Tensor<T>): Nd4jArrayStructure<T> = ndArray.mmul(other.ndArray).wrap()
 
-    override fun Tensor<T>.min(dim: Int, keepDim: Boolean): Tensor<T> =
+    override fun Tensor<T>.min(dim: Int, keepDim: Boolean): Nd4jArrayStructure<T> =
         ndArray.min(keepDim, dim).wrap()
 
-    override fun Tensor<T>.sum(dim: Int, keepDim: Boolean): Tensor<T> =
+    override fun Tensor<T>.sum(dim: Int, keepDim: Boolean): Nd4jArrayStructure<T> =
         ndArray.sum(keepDim, dim).wrap()
 
-    override fun Tensor<T>.max(dim: Int, keepDim: Boolean): Tensor<T> =
+    override fun Tensor<T>.max(dim: Int, keepDim: Boolean): Nd4jArrayStructure<T> =
         ndArray.max(keepDim, dim).wrap()
 
-    override fun Tensor<T>.view(shape: IntArray): Tensor<T> = ndArray.reshape(shape).wrap()
-    override fun Tensor<T>.viewAs(other: Tensor<T>): Tensor<T> = view(other.shape)
+    override fun Tensor<T>.view(shape: IntArray): Nd4jArrayStructure<T> = ndArray.reshape(shape).wrap()
+    override fun Tensor<T>.viewAs(other: Tensor<T>): Nd4jArrayStructure<T> = view(other.shape)
 
-    override fun Tensor<T>.argMax(dim: Int, keepDim: Boolean): Tensor<T> =
+    override fun Tensor<T>.argMax(dim: Int, keepDim: Boolean): Nd4jArrayStructure<T> =
         ndBase.get().argmax(ndArray, keepDim, dim).wrap()
 
-    override fun Tensor<T>.mean(dim: Int, keepDim: Boolean): Tensor<T> = ndArray.mean(keepDim, dim).wrap()
+    override fun Tensor<T>.mean(dim: Int, keepDim: Boolean): Nd4jArrayStructure<T> = ndArray.mean(keepDim, dim).wrap()
 
-    override fun Tensor<T>.exp(): Tensor<T> = Transforms.exp(ndArray).wrap()
-    override fun Tensor<T>.ln(): Tensor<T> = Transforms.log(ndArray).wrap()
-    override fun Tensor<T>.sqrt(): Tensor<T> = Transforms.sqrt(ndArray).wrap()
-    override fun Tensor<T>.cos(): Tensor<T> = Transforms.cos(ndArray).wrap()
-    override fun Tensor<T>.acos(): Tensor<T> = Transforms.acos(ndArray).wrap()
-    override fun Tensor<T>.cosh(): Tensor<T> = Transforms.cosh(ndArray).wrap()
+    override fun Tensor<T>.exp(): Nd4jArrayStructure<T> = Transforms.exp(ndArray).wrap()
+    override fun Tensor<T>.ln(): Nd4jArrayStructure<T> = Transforms.log(ndArray).wrap()
+    override fun Tensor<T>.sqrt(): Nd4jArrayStructure<T> = Transforms.sqrt(ndArray).wrap()
+    override fun Tensor<T>.cos(): Nd4jArrayStructure<T> = Transforms.cos(ndArray).wrap()
+    override fun Tensor<T>.acos(): Nd4jArrayStructure<T> = Transforms.acos(ndArray).wrap()
+    override fun Tensor<T>.cosh(): Nd4jArrayStructure<T> = Transforms.cosh(ndArray).wrap()
 
-    override fun Tensor<T>.acosh(): Tensor<T> =
+    override fun Tensor<T>.acosh(): Nd4jArrayStructure<T> =
         Nd4j.getExecutioner().exec(ACosh(ndArray, ndArray.ulike())).wrap()
 
-    override fun Tensor<T>.sin(): Tensor<T> = Transforms.sin(ndArray).wrap()
-    override fun Tensor<T>.asin(): Tensor<T> = Transforms.asin(ndArray).wrap()
+    override fun Tensor<T>.sin(): Nd4jArrayStructure<T> = Transforms.sin(ndArray).wrap()
+    override fun Tensor<T>.asin(): Nd4jArrayStructure<T> = Transforms.asin(ndArray).wrap()
     override fun Tensor<T>.sinh(): Tensor<T> = Transforms.sinh(ndArray).wrap()
 
-    override fun Tensor<T>.asinh(): Tensor<T> =
+    override fun Tensor<T>.asinh(): Nd4jArrayStructure<T> =
         Nd4j.getExecutioner().exec(ASinh(ndArray, ndArray.ulike())).wrap()
 
-    override fun Tensor<T>.tan(): Tensor<T> = Transforms.tan(ndArray).wrap()
-    override fun Tensor<T>.atan(): Tensor<T> = Transforms.atan(ndArray).wrap()
-    override fun Tensor<T>.tanh(): Tensor<T> = Transforms.tanh(ndArray).wrap()
-    override fun Tensor<T>.atanh(): Tensor<T> = Transforms.atanh(ndArray).wrap()
-    override fun Tensor<T>.ceil(): Tensor<T> = Transforms.ceil(ndArray).wrap()
-    override fun Tensor<T>.floor(): Tensor<T> = Transforms.floor(ndArray).wrap()
-    override fun Tensor<T>.std(dim: Int, keepDim: Boolean): Tensor<T> = ndArray.std(true, keepDim, dim).wrap()
-    override fun T.div(other: Tensor<T>): Tensor<T> = other.ndArray.rdiv(this).wrap()
-    override fun Tensor<T>.div(value: T): Tensor<T> = ndArray.div(value).wrap()
-    override fun Tensor<T>.div(other: Tensor<T>): Tensor<T> = ndArray.div(other.ndArray).wrap()
+    override fun Tensor<T>.tan(): Nd4jArrayStructure<T> = Transforms.tan(ndArray).wrap()
+    override fun Tensor<T>.atan(): Nd4jArrayStructure<T> = Transforms.atan(ndArray).wrap()
+    override fun Tensor<T>.tanh(): Nd4jArrayStructure<T> = Transforms.tanh(ndArray).wrap()
+    override fun Tensor<T>.atanh(): Nd4jArrayStructure<T> = Transforms.atanh(ndArray).wrap()
+    override fun Tensor<T>.ceil(): Nd4jArrayStructure<T> = Transforms.ceil(ndArray).wrap()
+    override fun Tensor<T>.floor(): Nd4jArrayStructure<T> = Transforms.floor(ndArray).wrap()
+    override fun Tensor<T>.std(dim: Int, keepDim: Boolean): Nd4jArrayStructure<T> =
+        ndArray.std(true, keepDim, dim).wrap()
+
+    override fun T.div(arg: StructureND<T>): Nd4jArrayStructure<T> = arg.ndArray.rdiv(this).wrap()
+    override fun StructureND<T>.div(arg: T): Nd4jArrayStructure<T> = ndArray.div(arg).wrap()
+    override fun StructureND<T>.div(other: StructureND<T>): Nd4jArrayStructure<T> = ndArray.div(other.ndArray).wrap()
 
     override fun Tensor<T>.divAssign(value: T) {
         ndArray.divi(value)
     }
 
-    override fun Tensor<T>.divAssign(other: Tensor<T>) {
+    override fun Tensor<T>.divAssign(other: StructureND<T>) {
         ndArray.divi(other.ndArray)
     }
 
-    override fun Tensor<T>.variance(dim: Int, keepDim: Boolean): Tensor<T> =
+    override fun Tensor<T>.variance(dim: Int, keepDim: Boolean): Nd4jArrayStructure<T> =
         Nd4j.getExecutioner().exec(Variance(ndArray, true, true, dim)).wrap()
 
     private companion object {
@@ -142,7 +164,10 @@ public sealed interface Nd4jTensorAlgebra<T : Number> : AnalyticTensorAlgebra<T>
 /**
  * [Double] specialization of [Nd4jTensorAlgebra].
  */
-public object DoubleNd4jTensorAlgebra : Nd4jTensorAlgebra<Double> {
+public object DoubleNd4jTensorAlgebra : Nd4jTensorAlgebra<Double, DoubleField> {
+
+    override val elementAlgebra: DoubleField get() = DoubleField
+
     override fun INDArray.wrap(): Nd4jArrayStructure<Double> = asDoubleStructure()
 
     @OptIn(PerformancePitfall::class)
@@ -154,7 +179,7 @@ public object DoubleNd4jTensorAlgebra : Nd4jTensorAlgebra<Double> {
             }
         }
 
-    override fun Tensor<Double>.valueOrNull(): Double? =
+    override fun StructureND<Double>.valueOrNull(): Double? =
         if (shape contentEquals intArrayOf(1)) ndArray.getDouble(0) else null
 
     // TODO rewrite
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorPartialDivisionAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorPartialDivisionAlgebra.kt
index 43c901ed5..dece54834 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorPartialDivisionAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorPartialDivisionAlgebra.kt
@@ -57,5 +57,5 @@ public interface TensorPartialDivisionAlgebra<T, A : Field<T>> : TensorAlgebra<T
      *
      * @param other tensor to be divided by.
      */
-    public operator fun Tensor<T>.divAssign(other: Tensor<T>)
+    public operator fun Tensor<T>.divAssign(other: StructureND<T>)
 }
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
index 472db8f5f..3d343604b 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
@@ -330,7 +330,7 @@ public open class DoubleTensorAlgebra :
         }
     }
 
-    override fun Tensor<Double>.divAssign(other: Tensor<Double>) {
+    override fun Tensor<Double>.divAssign(other: StructureND<Double>) {
         checkShapesCompatible(tensor, other)
         for (i in 0 until tensor.numElements) {
             tensor.mutableBuffer.array()[tensor.bufferStart + i] /=

From 29a90efca5eaa3c7669cae8c6dd0f24a8f31058f Mon Sep 17 00:00:00 2001
From: Alexander Nozik <altavir@gmail.com>
Date: Wed, 27 Oct 2021 14:48:36 +0300
Subject: [PATCH 09/44] Tensor algebra generified

---
 CHANGELOG.md                                  |   1 +
 .../kmath/benchmarks/NDFieldBenchmark.kt      |   7 +-
 .../space/kscience/kmath/tensors/multik.kt    |   6 +-
 .../kscience/kmath/multik/MultikOpsND.kt      | 137 -------------
 .../kmath/multik/MultikTensorAlgebra.kt       | 187 ++++++++++++++----
 .../kscience/kmath/multik/MultikNDTest.kt     |   2 +-
 .../kscience/kmath/nd4j/Nd4jTensorAlgebra.kt  | 113 ++++++-----
 .../tensors/api/AnalyticTensorAlgebra.kt      |  47 ++---
 .../tensors/api/LinearOpsTensorAlgebra.kt     |  15 +-
 .../kmath/tensors/api/TensorAlgebra.kt        |  36 ++--
 .../core/BroadcastDoubleTensorAlgebra.kt      |   2 +-
 .../kmath/tensors/core/DoubleTensorAlgebra.kt | 117 ++++++-----
 12 files changed, 323 insertions(+), 347 deletions(-)
 delete mode 100644 kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikOpsND.kt

diff --git a/CHANGELOG.md b/CHANGELOG.md
index bb267744e..6733c1211 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -45,6 +45,7 @@
 - Buffer algebra does not require size anymore
 - Operations -> Ops
 - Default Buffer and ND algebras are now Ops and lack neutral elements (0, 1) as well as algebra-level shapes.
+- Tensor algebra takes read-only structures as input and inherits AlgebraND
 
 ### Deprecated
 - Specialized `DoubleBufferAlgebra`
diff --git a/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/NDFieldBenchmark.kt b/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/NDFieldBenchmark.kt
index 8f9a3e2b8..b5af5aa19 100644
--- a/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/NDFieldBenchmark.kt
+++ b/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/NDFieldBenchmark.kt
@@ -13,8 +13,7 @@ import org.jetbrains.kotlinx.multik.api.Multik
 import org.jetbrains.kotlinx.multik.api.ones
 import org.jetbrains.kotlinx.multik.ndarray.data.DN
 import org.jetbrains.kotlinx.multik.ndarray.data.DataType
-import space.kscience.kmath.multik.multikND
-import space.kscience.kmath.multik.multikTensorAlgebra
+import space.kscience.kmath.multik.multikAlgebra
 import space.kscience.kmath.nd.BufferedFieldOpsND
 import space.kscience.kmath.nd.StructureND
 import space.kscience.kmath.nd.ndAlgebra
@@ -79,7 +78,7 @@ internal class NDFieldBenchmark {
     }
 
     @Benchmark
-    fun multikInPlaceAdd(blackhole: Blackhole) = with(DoubleField.multikTensorAlgebra) {
+    fun multikInPlaceAdd(blackhole: Blackhole) = with(DoubleField.multikAlgebra) {
         val res = Multik.ones<Double, DN>(shape, DataType.DoubleDataType).wrap()
         repeat(n) { res += 1.0 }
         blackhole.consume(res)
@@ -100,7 +99,7 @@ internal class NDFieldBenchmark {
         private val specializedField = DoubleField.ndAlgebra
         private val genericField = BufferedFieldOpsND(DoubleField, Buffer.Companion::boxing)
         private val nd4jField = DoubleField.nd4j
-        private val multikField = DoubleField.multikND
+        private val multikField = DoubleField.multikAlgebra
         private val viktorField = DoubleField.viktorAlgebra
     }
 }
diff --git a/examples/src/main/kotlin/space/kscience/kmath/tensors/multik.kt b/examples/src/main/kotlin/space/kscience/kmath/tensors/multik.kt
index f0b776f75..fad68fa96 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/tensors/multik.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/tensors/multik.kt
@@ -7,12 +7,12 @@ package space.kscience.kmath.tensors
 
 import org.jetbrains.kotlinx.multik.api.Multik
 import org.jetbrains.kotlinx.multik.api.ndarray
-import space.kscience.kmath.multik.multikND
+import space.kscience.kmath.multik.multikAlgebra
 import space.kscience.kmath.nd.one
 import space.kscience.kmath.operations.DoubleField
 
-fun main(): Unit = with(DoubleField.multikND) {
+fun main(): Unit = with(DoubleField.multikAlgebra) {
     val a = Multik.ndarray(intArrayOf(1, 2, 3)).asType<Double>().wrap()
     val b = Multik.ndarray(doubleArrayOf(1.0, 2.0, 3.0)).wrap()
-    one(a.shape) - a + b * 3
+    one(a.shape) - a + b * 3.0
 }
diff --git a/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikOpsND.kt b/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikOpsND.kt
deleted file mode 100644
index 4068ba9b9..000000000
--- a/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikOpsND.kt
+++ /dev/null
@@ -1,137 +0,0 @@
-package space.kscience.kmath.multik
-
-import org.jetbrains.kotlinx.multik.api.math.cos
-import org.jetbrains.kotlinx.multik.api.math.sin
-import org.jetbrains.kotlinx.multik.api.mk
-import org.jetbrains.kotlinx.multik.api.zeros
-import org.jetbrains.kotlinx.multik.ndarray.data.*
-import org.jetbrains.kotlinx.multik.ndarray.operations.*
-import space.kscience.kmath.nd.FieldOpsND
-import space.kscience.kmath.nd.RingOpsND
-import space.kscience.kmath.nd.Shape
-import space.kscience.kmath.nd.StructureND
-import space.kscience.kmath.operations.*
-
-/**
- * A ring algebra for Multik operations
- */
-public open class MultikRingOpsND<T, A : Ring<T>> internal constructor(
-    public val type: DataType,
-    override val elementAlgebra: A
-) : RingOpsND<T, A> {
-
-    public fun MutableMultiArray<T, *>.wrap(): MultikTensor<T> = MultikTensor(this.asDNArray())
-
-    override fun structureND(shape: Shape, initializer: A.(IntArray) -> T): MultikTensor<T> {
-        val res = mk.zeros<T, DN>(shape, type).asDNArray()
-        for (index in res.multiIndices) {
-            res[index] = elementAlgebra.initializer(index)
-        }
-        return res.wrap()
-    }
-
-    public fun StructureND<T>.asMultik(): MultikTensor<T> = if (this is MultikTensor) {
-        this
-    } else {
-        structureND(shape) { get(it) }
-    }
-
-    override fun StructureND<T>.map(transform: A.(T) -> T): MultikTensor<T> {
-        //taken directly from Multik sources
-        val array = asMultik().array
-        val data = initMemoryView<T>(array.size, type)
-        var count = 0
-        for (el in array) data[count++] = elementAlgebra.transform(el)
-        return NDArray(data, shape = array.shape, dim = array.dim).wrap()
-    }
-
-    override fun StructureND<T>.mapIndexed(transform: A.(index: IntArray, T) -> T): MultikTensor<T> {
-        //taken directly from Multik sources
-        val array = asMultik().array
-        val data = initMemoryView<T>(array.size, type)
-        val indexIter = array.multiIndices.iterator()
-        var index = 0
-        for (item in array) {
-            if (indexIter.hasNext()) {
-                data[index++] = elementAlgebra.transform(indexIter.next(), item)
-            } else {
-                throw ArithmeticException("Index overflow has happened.")
-            }
-        }
-        return NDArray(data, shape = array.shape, dim = array.dim).wrap()
-    }
-
-    override fun zip(left: StructureND<T>, right: StructureND<T>, transform: A.(T, T) -> T): MultikTensor<T> {
-        require(left.shape.contentEquals(right.shape)) { "ND array shape mismatch" } //TODO replace by ShapeMismatchException
-        val leftArray = left.asMultik().array
-        val rightArray = right.asMultik().array
-        val data = initMemoryView<T>(leftArray.size, type)
-        var counter = 0
-        val leftIterator = leftArray.iterator()
-        val rightIterator = rightArray.iterator()
-        //iterating them together
-        while (leftIterator.hasNext()) {
-            data[counter++] = elementAlgebra.transform(leftIterator.next(), rightIterator.next())
-        }
-        return NDArray(data, shape = leftArray.shape, dim = leftArray.dim).wrap()
-    }
-
-    override fun StructureND<T>.unaryMinus(): MultikTensor<T> = asMultik().array.unaryMinus().wrap()
-
-    override fun add(left: StructureND<T>, right: StructureND<T>): MultikTensor<T> =
-        (left.asMultik().array + right.asMultik().array).wrap()
-
-    override fun StructureND<T>.plus(arg: T): MultikTensor<T> =
-        asMultik().array.plus(arg).wrap()
-
-    override fun StructureND<T>.minus(arg: T): MultikTensor<T> = asMultik().array.minus(arg).wrap()
-
-    override fun T.plus(arg: StructureND<T>): MultikTensor<T> = arg + this
-
-    override fun T.minus(arg: StructureND<T>): MultikTensor<T> = arg.map { this@minus - it }
-
-    override fun multiply(left: StructureND<T>, right: StructureND<T>): MultikTensor<T> =
-        left.asMultik().array.times(right.asMultik().array).wrap()
-
-    override fun StructureND<T>.times(arg: T): MultikTensor<T> =
-        asMultik().array.times(arg).wrap()
-
-    override fun T.times(arg: StructureND<T>): MultikTensor<T> = arg * this
-
-    override fun StructureND<T>.unaryPlus(): MultikTensor<T> = asMultik()
-
-    override fun StructureND<T>.plus(other: StructureND<T>): MultikTensor<T> =
-        asMultik().array.plus(other.asMultik().array).wrap()
-
-    override fun StructureND<T>.minus(other: StructureND<T>): MultikTensor<T> =
-        asMultik().array.minus(other.asMultik().array).wrap()
-
-    override fun StructureND<T>.times(other: StructureND<T>): MultikTensor<T> =
-        asMultik().array.times(other.asMultik().array).wrap()
-}
-
-/**
- * A field algebra for multik operations
- */
-public class MultikFieldOpsND<T, A : Field<T>> internal constructor(
-    type: DataType,
-    elementAlgebra: A
-) : MultikRingOpsND<T, A>(type, elementAlgebra), FieldOpsND<T, A> {
-    override fun StructureND<T>.div(other: StructureND<T>): StructureND<T> =
-        asMultik().array.div(other.asMultik().array).wrap()
-}
-
-public val DoubleField.multikND: MultikFieldOpsND<Double, DoubleField>
-    get() = MultikFieldOpsND(DataType.DoubleDataType, DoubleField)
-
-public val FloatField.multikND: MultikFieldOpsND<Float, FloatField>
-    get() = MultikFieldOpsND(DataType.FloatDataType, FloatField)
-
-public val ShortRing.multikND: MultikRingOpsND<Short, ShortRing>
-    get() = MultikRingOpsND(DataType.ShortDataType, ShortRing)
-
-public val IntRing.multikND: MultikRingOpsND<Int, IntRing>
-    get() = MultikRingOpsND(DataType.IntDataType, IntRing)
-
-public val LongRing.multikND: MultikRingOpsND<Long, LongRing>
-    get() = MultikRingOpsND(DataType.LongDataType, LongRing)
\ No newline at end of file
diff --git a/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt b/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
index 3bbe8e672..ec0d4c6d9 100644
--- a/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
+++ b/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
@@ -15,12 +15,14 @@ import org.jetbrains.kotlinx.multik.api.zeros
 import org.jetbrains.kotlinx.multik.ndarray.data.*
 import org.jetbrains.kotlinx.multik.ndarray.operations.*
 import space.kscience.kmath.misc.PerformancePitfall
+import space.kscience.kmath.nd.DefaultStrides
 import space.kscience.kmath.nd.Shape
 import space.kscience.kmath.nd.StructureND
 import space.kscience.kmath.nd.mapInPlace
 import space.kscience.kmath.operations.*
 import space.kscience.kmath.tensors.api.Tensor
 import space.kscience.kmath.tensors.api.TensorAlgebra
+import space.kscience.kmath.tensors.api.TensorPartialDivisionAlgebra
 
 @JvmInline
 public value class MultikTensor<T>(public val array: MutableMultiArray<T, DN>) : Tensor<T> {
@@ -50,29 +52,80 @@ private fun <T, D : Dimension> MultiArray<T, D>.asD2Array(): D2Array<T> {
     else throw ClassCastException("Cannot cast MultiArray to NDArray.")
 }
 
-public class MultikTensorAlgebra<T : Number, A: Ring<T>> internal constructor(
-    public val type: DataType,
-    override val elementAlgebra: A,
-    public val comparator: Comparator<T>
-) : TensorAlgebra<T, A> {
+public abstract class MultikTensorAlgebra<T, A : Ring<T>> : TensorAlgebra<T, A> where T : Number, T : Comparable<T> {
+
+    public abstract val type: DataType
+
+    override fun structureND(shape: Shape, initializer: A.(IntArray) -> T): MultikTensor<T> {
+        val strides = DefaultStrides(shape)
+        val memoryView = initMemoryView<T>(strides.linearSize, type)
+        strides.indices().forEachIndexed { linearIndex, tensorIndex ->
+            memoryView[linearIndex] = elementAlgebra.initializer(tensorIndex)
+        }
+        return MultikTensor(NDArray(memoryView, shape = shape, dim = DN(shape.size)))
+    }
+
+    override fun StructureND<T>.map(transform: A.(T) -> T): MultikTensor<T> = if (this is MultikTensor) {
+        val data = initMemoryView<T>(array.size, type)
+        var count = 0
+        for (el in array) data[count++] = elementAlgebra.transform(el)
+        NDArray(data, shape = shape, dim = array.dim).wrap()
+    } else {
+        structureND(shape) { index ->
+            transform(get(index))
+        }
+    }
+
+    override fun StructureND<T>.mapIndexed(transform: A.(index: IntArray, T) -> T): MultikTensor<T> =
+        if (this is MultikTensor) {
+            val array = asMultik().array
+            val data = initMemoryView<T>(array.size, type)
+            val indexIter = array.multiIndices.iterator()
+            var index = 0
+            for (item in array) {
+                if (indexIter.hasNext()) {
+                    data[index++] = elementAlgebra.transform(indexIter.next(), item)
+                } else {
+                    throw ArithmeticException("Index overflow has happened.")
+                }
+            }
+            NDArray(data, shape = array.shape, dim = array.dim).wrap()
+        } else {
+            structureND(shape) { index ->
+                transform(index, get(index))
+            }
+        }
+
+    override fun zip(left: StructureND<T>, right: StructureND<T>, transform: A.(T, T) -> T): MultikTensor<T> {
+        require(left.shape.contentEquals(right.shape)) { "ND array shape mismatch" } //TODO replace by ShapeMismatchException
+        val leftArray = left.asMultik().array
+        val rightArray = right.asMultik().array
+        val data = initMemoryView<T>(leftArray.size, type)
+        var counter = 0
+        val leftIterator = leftArray.iterator()
+        val rightIterator = rightArray.iterator()
+        //iterating them together
+        while (leftIterator.hasNext()) {
+            data[counter++] = elementAlgebra.transform(leftIterator.next(), rightIterator.next())
+        }
+        return NDArray(data, shape = leftArray.shape, dim = leftArray.dim).wrap()
+    }
 
     /**
      * Convert a tensor to [MultikTensor] if necessary. If tensor is converted, changes on the resulting tensor
      * are not reflected back onto the source
      */
-    public fun StructureND<T>.asMultik(): MultikTensor<T> {
-        return if (this is MultikTensor) {
-            this
-        } else {
-            val res = mk.zeros<T, DN>(shape, type).asDNArray()
-            for (index in res.multiIndices) {
-                res[index] = this[index]
-            }
-            res.wrap()
+    public fun StructureND<T>.asMultik(): MultikTensor<T> = if (this is MultikTensor) {
+        this
+    } else {
+        val res = mk.zeros<T, DN>(shape, type).asDNArray()
+        for (index in res.multiIndices) {
+            res[index] = this[index]
         }
+        res.wrap()
     }
 
-    public fun MutableMultiArray<T, DN>.wrap(): MultikTensor<T> = MultikTensor(this)
+    public fun MutableMultiArray<T, *>.wrap(): MultikTensor<T> = MultikTensor(this.asDNArray())
 
     override fun StructureND<T>.valueOrNull(): T? = if (shape contentEquals intArrayOf(1)) {
         get(intArrayOf(0))
@@ -81,8 +134,8 @@ public class MultikTensorAlgebra<T : Number, A: Ring<T>> internal constructor(
     override fun T.plus(other: StructureND<T>): MultikTensor<T> =
         other.plus(this)
 
-    override fun StructureND<T>.plus(value: T): MultikTensor<T> =
-        asMultik().array.deepCopy().apply { plusAssign(value) }.wrap()
+    override fun StructureND<T>.plus(arg: T): MultikTensor<T> =
+        asMultik().array.deepCopy().apply { plusAssign(arg) }.wrap()
 
     override fun StructureND<T>.plus(other: StructureND<T>): MultikTensor<T> =
         asMultik().array.plus(other.asMultik().array).wrap()
@@ -155,11 +208,11 @@ public class MultikTensorAlgebra<T : Number, A: Ring<T>> internal constructor(
     override fun StructureND<T>.unaryMinus(): MultikTensor<T> =
         asMultik().array.unaryMinus().wrap()
 
-    override fun Tensor<T>.get(i: Int): MultikTensor<T> = asMultik().array.mutableView(i).wrap()
+    override fun StructureND<T>.get(i: Int): MultikTensor<T> = asMultik().array.mutableView(i).wrap()
 
-    override fun Tensor<T>.transpose(i: Int, j: Int): MultikTensor<T> = asMultik().array.transpose(i, j).wrap()
+    override fun StructureND<T>.transpose(i: Int, j: Int): MultikTensor<T> = asMultik().array.transpose(i, j).wrap()
 
-    override fun Tensor<T>.view(shape: IntArray): MultikTensor<T> {
+    override fun StructureND<T>.view(shape: IntArray): MultikTensor<T> {
         require(shape.all { it > 0 })
         require(shape.fold(1, Int::times) == this.shape.size) {
             "Cannot reshape array of size ${this.shape.size} into a new shape ${
@@ -178,9 +231,9 @@ public class MultikTensorAlgebra<T : Number, A: Ring<T>> internal constructor(
         }.wrap()
     }
 
-    override fun Tensor<T>.viewAs(other: Tensor<T>): MultikTensor<T> = view(other.shape)
+    override fun StructureND<T>.viewAs(other: StructureND<T>): MultikTensor<T> = view(other.shape)
 
-    override fun Tensor<T>.dot(other: Tensor<T>): MultikTensor<T> =
+    override fun StructureND<T>.dot(other: StructureND<T>): MultikTensor<T> =
         if (this.shape.size == 1 && other.shape.size == 1) {
             Multik.ndarrayOf(
                 asMultik().array.asD1Array() dot other.asMultik().array.asD1Array()
@@ -197,45 +250,95 @@ public class MultikTensorAlgebra<T : Number, A: Ring<T>> internal constructor(
         TODO("Diagonal embedding not implemented")
     }
 
-    override fun Tensor<T>.sum(): T = asMultik().array.reduceMultiIndexed { _: IntArray, acc: T, t: T ->
+    override fun StructureND<T>.sum(): T = asMultik().array.reduceMultiIndexed { _: IntArray, acc: T, t: T ->
         elementAlgebra.add(acc, t)
     }
 
-    override fun Tensor<T>.sum(dim: Int, keepDim: Boolean): MultikTensor<T> {
+    override fun StructureND<T>.sum(dim: Int, keepDim: Boolean): MultikTensor<T> {
         TODO("Not yet implemented")
     }
 
-    override fun Tensor<T>.min(): T =
-        asMultik().array.minWith(comparator) ?: error("No elements in tensor")
+    override fun StructureND<T>.min(): T? = asMultik().array.min()
 
-    override fun Tensor<T>.min(dim: Int, keepDim: Boolean): MultikTensor<T> {
+    override fun StructureND<T>.min(dim: Int, keepDim: Boolean): Tensor<T> {
         TODO("Not yet implemented")
     }
 
-    override fun Tensor<T>.max(): T =
-        asMultik().array.maxWith(comparator) ?: error("No elements in tensor")
+    override fun StructureND<T>.max(): T? = asMultik().array.max()
 
-
-    override fun Tensor<T>.max(dim: Int, keepDim: Boolean): MultikTensor<T> {
+    override fun StructureND<T>.max(dim: Int, keepDim: Boolean): Tensor<T> {
         TODO("Not yet implemented")
     }
 
-    override fun Tensor<T>.argMax(dim: Int, keepDim: Boolean): MultikTensor<T> {
+    override fun StructureND<T>.argMax(dim: Int, keepDim: Boolean): Tensor<T> {
         TODO("Not yet implemented")
     }
 }
 
-public val DoubleField.multikTensorAlgebra: MultikTensorAlgebra<Double, DoubleField>
-    get() = MultikTensorAlgebra(DataType.DoubleDataType, DoubleField) { o1, o2 -> o1.compareTo(o2) }
+public abstract class MultikDivisionTensorAlgebra<T, A : Field<T>>
+    : MultikTensorAlgebra<T, A>(), TensorPartialDivisionAlgebra<T, A> where T : Number, T : Comparable<T> {
 
-public val FloatField.multikTensorAlgebra: MultikTensorAlgebra<Float, FloatField>
-    get() = MultikTensorAlgebra(DataType.FloatDataType, FloatField) { o1, o2 -> o1.compareTo(o2) }
+    override fun T.div(arg: StructureND<T>): MultikTensor<T> = arg.map { elementAlgebra.divide(this@div, it) }
 
-public val ShortRing.multikTensorAlgebra: MultikTensorAlgebra<Short, ShortRing>
-    get() = MultikTensorAlgebra(DataType.ShortDataType, ShortRing) { o1, o2 -> o1.compareTo(o2) }
+    override fun StructureND<T>.div(arg: T): MultikTensor<T> =
+        asMultik().array.deepCopy().apply { divAssign(arg) }.wrap()
 
-public val IntRing.multikTensorAlgebra: MultikTensorAlgebra<Int, IntRing>
-    get() = MultikTensorAlgebra(DataType.IntDataType, IntRing) { o1, o2 -> o1.compareTo(o2) }
+    override fun StructureND<T>.div(other: StructureND<T>): MultikTensor<T> =
+        asMultik().array.div(other.asMultik().array).wrap()
 
-public val LongRing.multikTensorAlgebra: MultikTensorAlgebra<Long, LongRing>
-    get() = MultikTensorAlgebra(DataType.LongDataType, LongRing) { o1, o2 -> o1.compareTo(o2) }
\ No newline at end of file
+    override fun Tensor<T>.divAssign(value: T) {
+        if (this is MultikTensor) {
+            array.divAssign(value)
+        } else {
+            mapInPlace { _, t -> elementAlgebra.divide(t, value) }
+        }
+    }
+
+    override fun Tensor<T>.divAssign(other: StructureND<T>) {
+        if (this is MultikTensor) {
+            array.divAssign(other.asMultik().array)
+        } else {
+            mapInPlace { index, t -> elementAlgebra.divide(t, other[index]) }
+        }
+    }
+}
+
+public object MultikDoubleAlgebra : MultikDivisionTensorAlgebra<Double, DoubleField>() {
+    override val elementAlgebra: DoubleField get() = DoubleField
+    override val type: DataType get() = DataType.DoubleDataType
+}
+
+public val Double.Companion.multikAlgebra: MultikTensorAlgebra<Double, DoubleField> get() = MultikDoubleAlgebra
+public val DoubleField.multikAlgebra: MultikTensorAlgebra<Double, DoubleField> get() = MultikDoubleAlgebra
+
+public object MultikFloatAlgebra : MultikDivisionTensorAlgebra<Float, FloatField>() {
+    override val elementAlgebra: FloatField get() = FloatField
+    override val type: DataType get() = DataType.FloatDataType
+}
+
+public val Float.Companion.multikAlgebra: MultikTensorAlgebra<Float, FloatField> get() = MultikFloatAlgebra
+public val FloatField.multikAlgebra: MultikTensorAlgebra<Float, FloatField> get() = MultikFloatAlgebra
+
+public object MultikShortAlgebra : MultikTensorAlgebra<Short, ShortRing>() {
+    override val elementAlgebra: ShortRing get() = ShortRing
+    override val type: DataType get() = DataType.ShortDataType
+}
+
+public val Short.Companion.multikAlgebra: MultikTensorAlgebra<Short, ShortRing> get() = MultikShortAlgebra
+public val ShortRing.multikAlgebra: MultikTensorAlgebra<Short, ShortRing> get() = MultikShortAlgebra
+
+public object MultikIntAlgebra : MultikTensorAlgebra<Int, IntRing>() {
+    override val elementAlgebra: IntRing get() = IntRing
+    override val type: DataType get() = DataType.IntDataType
+}
+
+public val Int.Companion.multikAlgebra: MultikTensorAlgebra<Int, IntRing> get() = MultikIntAlgebra
+public val IntRing.multikAlgebra: MultikTensorAlgebra<Int, IntRing> get() = MultikIntAlgebra
+
+public object MultikLongAlgebra : MultikTensorAlgebra<Long, LongRing>() {
+    override val elementAlgebra: LongRing get() = LongRing
+    override val type: DataType get() = DataType.LongDataType
+}
+
+public val Long.Companion.multikAlgebra: MultikTensorAlgebra<Long, LongRing> get() = MultikLongAlgebra
+public val LongRing.multikAlgebra: MultikTensorAlgebra<Long, LongRing> get() = MultikLongAlgebra
\ No newline at end of file
diff --git a/kmath-multik/src/test/kotlin/space/kscience/kmath/multik/MultikNDTest.kt b/kmath-multik/src/test/kotlin/space/kscience/kmath/multik/MultikNDTest.kt
index 9dd9854c7..66ba7db2d 100644
--- a/kmath-multik/src/test/kotlin/space/kscience/kmath/multik/MultikNDTest.kt
+++ b/kmath-multik/src/test/kotlin/space/kscience/kmath/multik/MultikNDTest.kt
@@ -7,7 +7,7 @@ import space.kscience.kmath.operations.invoke
 
 internal class MultikNDTest {
     @Test
-    fun basicAlgebra(): Unit = DoubleField.multikND{
+    fun basicAlgebra(): Unit = DoubleField.multikAlgebra{
         one(2,2) + 1.0
     }
 }
\ No newline at end of file
diff --git a/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jTensorAlgebra.kt b/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jTensorAlgebra.kt
index e40ea3dbc..3fb03c964 100644
--- a/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jTensorAlgebra.kt
+++ b/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jTensorAlgebra.kt
@@ -13,6 +13,7 @@ import org.nd4j.linalg.factory.Nd4j
 import org.nd4j.linalg.factory.ops.NDBase
 import org.nd4j.linalg.ops.transforms.Transforms
 import space.kscience.kmath.misc.PerformancePitfall
+import space.kscience.kmath.nd.DefaultStrides
 import space.kscience.kmath.nd.Shape
 import space.kscience.kmath.nd.StructureND
 import space.kscience.kmath.operations.DoubleField
@@ -27,22 +28,6 @@ import space.kscience.kmath.tensors.core.DoubleTensorAlgebra
  */
 public sealed interface Nd4jTensorAlgebra<T : Number, A : Field<T>> : AnalyticTensorAlgebra<T, A> {
 
-    override fun structureND(shape: Shape, initializer: A.(IntArray) -> T): Nd4jArrayStructure<T> {
-        val array =
-    }
-
-    override fun StructureND<T>.map(transform: A.(T) -> T): Nd4jArrayStructure<T> {
-        TODO("Not yet implemented")
-    }
-
-    override fun StructureND<T>.mapIndexed(transform: A.(index: IntArray, T) -> T): Nd4jArrayStructure<T> {
-        TODO("Not yet implemented")
-    }
-
-    override fun zip(left: StructureND<T>, right: StructureND<T>, transform: A.(T, T) -> T): Nd4jArrayStructure<T> {
-        TODO("Not yet implemented")
-    }
-
     /**
      * Wraps [INDArray] to [Nd4jArrayStructure].
      */
@@ -53,8 +38,21 @@ public sealed interface Nd4jTensorAlgebra<T : Number, A : Field<T>> : AnalyticTe
      */
     public val StructureND<T>.ndArray: INDArray
 
+    override fun structureND(shape: Shape, initializer: A.(IntArray) -> T): Nd4jArrayStructure<T>
+
+    override fun StructureND<T>.map(transform: A.(T) -> T): Nd4jArrayStructure<T> =
+        structureND(shape) { index -> elementAlgebra.transform(get(index)) }
+
+    override fun StructureND<T>.mapIndexed(transform: A.(index: IntArray, T) -> T): Nd4jArrayStructure<T> =
+        structureND(shape) { index -> elementAlgebra.transform(index, get(index)) }
+
+    override fun zip(left: StructureND<T>, right: StructureND<T>, transform: A.(T, T) -> T): Nd4jArrayStructure<T> {
+        require(left.shape.contentEquals(right.shape))
+        return structureND(left.shape) { index -> elementAlgebra.transform(left[index], right[index]) }
+    }
+
     override fun T.plus(other: StructureND<T>): Nd4jArrayStructure<T> = other.ndArray.add(this).wrap()
-    override fun StructureND<T>.plus(value: T): Nd4jArrayStructure<T> = ndArray.add(value).wrap()
+    override fun StructureND<T>.plus(arg: T): Nd4jArrayStructure<T> = ndArray.add(arg).wrap()
 
     override fun StructureND<T>.plus(other: StructureND<T>): Nd4jArrayStructure<T> = ndArray.add(other.ndArray).wrap()
 
@@ -94,51 +92,52 @@ public sealed interface Nd4jTensorAlgebra<T : Number, A : Field<T>> : AnalyticTe
     }
 
     override fun StructureND<T>.unaryMinus(): Nd4jArrayStructure<T> = ndArray.neg().wrap()
-    override fun Tensor<T>.get(i: Int): Nd4jArrayStructure<T> = ndArray.slice(i.toLong()).wrap()
-    override fun Tensor<T>.transpose(i: Int, j: Int): Nd4jArrayStructure<T> = ndArray.swapAxes(i, j).wrap()
-    override fun Tensor<T>.dot(other: Tensor<T>): Nd4jArrayStructure<T> = ndArray.mmul(other.ndArray).wrap()
+    override fun StructureND<T>.get(i: Int): Nd4jArrayStructure<T> = ndArray.slice(i.toLong()).wrap()
+    override fun StructureND<T>.transpose(i: Int, j: Int): Nd4jArrayStructure<T> = ndArray.swapAxes(i, j).wrap()
+    override fun StructureND<T>.dot(other: StructureND<T>): Nd4jArrayStructure<T> = ndArray.mmul(other.ndArray).wrap()
 
-    override fun Tensor<T>.min(dim: Int, keepDim: Boolean): Nd4jArrayStructure<T> =
+    override fun StructureND<T>.min(dim: Int, keepDim: Boolean): Nd4jArrayStructure<T> =
         ndArray.min(keepDim, dim).wrap()
 
-    override fun Tensor<T>.sum(dim: Int, keepDim: Boolean): Nd4jArrayStructure<T> =
+    override fun StructureND<T>.sum(dim: Int, keepDim: Boolean): Nd4jArrayStructure<T> =
         ndArray.sum(keepDim, dim).wrap()
 
-    override fun Tensor<T>.max(dim: Int, keepDim: Boolean): Nd4jArrayStructure<T> =
+    override fun StructureND<T>.max(dim: Int, keepDim: Boolean): Nd4jArrayStructure<T> =
         ndArray.max(keepDim, dim).wrap()
 
-    override fun Tensor<T>.view(shape: IntArray): Nd4jArrayStructure<T> = ndArray.reshape(shape).wrap()
-    override fun Tensor<T>.viewAs(other: Tensor<T>): Nd4jArrayStructure<T> = view(other.shape)
+    override fun StructureND<T>.view(shape: IntArray): Nd4jArrayStructure<T> = ndArray.reshape(shape).wrap()
+    override fun StructureND<T>.viewAs(other: StructureND<T>): Nd4jArrayStructure<T> = view(other.shape)
 
-    override fun Tensor<T>.argMax(dim: Int, keepDim: Boolean): Nd4jArrayStructure<T> =
+    override fun StructureND<T>.argMax(dim: Int, keepDim: Boolean): Nd4jArrayStructure<T> =
         ndBase.get().argmax(ndArray, keepDim, dim).wrap()
 
-    override fun Tensor<T>.mean(dim: Int, keepDim: Boolean): Nd4jArrayStructure<T> = ndArray.mean(keepDim, dim).wrap()
+    override fun StructureND<T>.mean(dim: Int, keepDim: Boolean): Nd4jArrayStructure<T> =
+        ndArray.mean(keepDim, dim).wrap()
 
-    override fun Tensor<T>.exp(): Nd4jArrayStructure<T> = Transforms.exp(ndArray).wrap()
-    override fun Tensor<T>.ln(): Nd4jArrayStructure<T> = Transforms.log(ndArray).wrap()
-    override fun Tensor<T>.sqrt(): Nd4jArrayStructure<T> = Transforms.sqrt(ndArray).wrap()
-    override fun Tensor<T>.cos(): Nd4jArrayStructure<T> = Transforms.cos(ndArray).wrap()
-    override fun Tensor<T>.acos(): Nd4jArrayStructure<T> = Transforms.acos(ndArray).wrap()
-    override fun Tensor<T>.cosh(): Nd4jArrayStructure<T> = Transforms.cosh(ndArray).wrap()
+    override fun StructureND<T>.exp(): Nd4jArrayStructure<T> = Transforms.exp(ndArray).wrap()
+    override fun StructureND<T>.ln(): Nd4jArrayStructure<T> = Transforms.log(ndArray).wrap()
+    override fun StructureND<T>.sqrt(): Nd4jArrayStructure<T> = Transforms.sqrt(ndArray).wrap()
+    override fun StructureND<T>.cos(): Nd4jArrayStructure<T> = Transforms.cos(ndArray).wrap()
+    override fun StructureND<T>.acos(): Nd4jArrayStructure<T> = Transforms.acos(ndArray).wrap()
+    override fun StructureND<T>.cosh(): Nd4jArrayStructure<T> = Transforms.cosh(ndArray).wrap()
 
-    override fun Tensor<T>.acosh(): Nd4jArrayStructure<T> =
+    override fun StructureND<T>.acosh(): Nd4jArrayStructure<T> =
         Nd4j.getExecutioner().exec(ACosh(ndArray, ndArray.ulike())).wrap()
 
-    override fun Tensor<T>.sin(): Nd4jArrayStructure<T> = Transforms.sin(ndArray).wrap()
-    override fun Tensor<T>.asin(): Nd4jArrayStructure<T> = Transforms.asin(ndArray).wrap()
-    override fun Tensor<T>.sinh(): Tensor<T> = Transforms.sinh(ndArray).wrap()
+    override fun StructureND<T>.sin(): Nd4jArrayStructure<T> = Transforms.sin(ndArray).wrap()
+    override fun StructureND<T>.asin(): Nd4jArrayStructure<T> = Transforms.asin(ndArray).wrap()
+    override fun StructureND<T>.sinh(): Tensor<T> = Transforms.sinh(ndArray).wrap()
 
-    override fun Tensor<T>.asinh(): Nd4jArrayStructure<T> =
+    override fun StructureND<T>.asinh(): Nd4jArrayStructure<T> =
         Nd4j.getExecutioner().exec(ASinh(ndArray, ndArray.ulike())).wrap()
 
-    override fun Tensor<T>.tan(): Nd4jArrayStructure<T> = Transforms.tan(ndArray).wrap()
-    override fun Tensor<T>.atan(): Nd4jArrayStructure<T> = Transforms.atan(ndArray).wrap()
-    override fun Tensor<T>.tanh(): Nd4jArrayStructure<T> = Transforms.tanh(ndArray).wrap()
-    override fun Tensor<T>.atanh(): Nd4jArrayStructure<T> = Transforms.atanh(ndArray).wrap()
-    override fun Tensor<T>.ceil(): Nd4jArrayStructure<T> = Transforms.ceil(ndArray).wrap()
-    override fun Tensor<T>.floor(): Nd4jArrayStructure<T> = Transforms.floor(ndArray).wrap()
-    override fun Tensor<T>.std(dim: Int, keepDim: Boolean): Nd4jArrayStructure<T> =
+    override fun StructureND<T>.tan(): Nd4jArrayStructure<T> = Transforms.tan(ndArray).wrap()
+    override fun StructureND<T>.atan(): Nd4jArrayStructure<T> = Transforms.atan(ndArray).wrap()
+    override fun StructureND<T>.tanh(): Nd4jArrayStructure<T> = Transforms.tanh(ndArray).wrap()
+    override fun StructureND<T>.atanh(): Nd4jArrayStructure<T> = Transforms.atanh(ndArray).wrap()
+    override fun StructureND<T>.ceil(): Nd4jArrayStructure<T> = Transforms.ceil(ndArray).wrap()
+    override fun StructureND<T>.floor(): Nd4jArrayStructure<T> = Transforms.floor(ndArray).wrap()
+    override fun StructureND<T>.std(dim: Int, keepDim: Boolean): Nd4jArrayStructure<T> =
         ndArray.std(true, keepDim, dim).wrap()
 
     override fun T.div(arg: StructureND<T>): Nd4jArrayStructure<T> = arg.ndArray.rdiv(this).wrap()
@@ -153,7 +152,7 @@ public sealed interface Nd4jTensorAlgebra<T : Number, A : Field<T>> : AnalyticTe
         ndArray.divi(other.ndArray)
     }
 
-    override fun Tensor<T>.variance(dim: Int, keepDim: Boolean): Nd4jArrayStructure<T> =
+    override fun StructureND<T>.variance(dim: Int, keepDim: Boolean): Nd4jArrayStructure<T> =
         Nd4j.getExecutioner().exec(Variance(ndArray, true, true, dim)).wrap()
 
     private companion object {
@@ -170,6 +169,16 @@ public object DoubleNd4jTensorAlgebra : Nd4jTensorAlgebra<Double, DoubleField> {
 
     override fun INDArray.wrap(): Nd4jArrayStructure<Double> = asDoubleStructure()
 
+    override fun structureND(shape: Shape, initializer: DoubleField.(IntArray) -> Double): Nd4jArrayStructure<Double> {
+        val array: INDArray = Nd4j.zeros(*shape)
+        val indices = DefaultStrides(shape)
+        indices.indices().forEach { index ->
+            array.putScalar(index, elementAlgebra.initializer(index))
+        }
+        return array.wrap()
+    }
+
+
     @OptIn(PerformancePitfall::class)
     override val StructureND<Double>.ndArray: INDArray
         get() = when (this) {
@@ -190,10 +199,10 @@ public object DoubleNd4jTensorAlgebra : Nd4jTensorAlgebra<Double, DoubleField> {
         dim2: Int,
     ): Tensor<Double> = DoubleTensorAlgebra.diagonalEmbedding(diagonalEntries, offset, dim1, dim2)
 
-    override fun Tensor<Double>.sum(): Double = ndArray.sumNumber().toDouble()
-    override fun Tensor<Double>.min(): Double = ndArray.minNumber().toDouble()
-    override fun Tensor<Double>.max(): Double = ndArray.maxNumber().toDouble()
-    override fun Tensor<Double>.mean(): Double = ndArray.meanNumber().toDouble()
-    override fun Tensor<Double>.std(): Double = ndArray.stdNumber().toDouble()
-    override fun Tensor<Double>.variance(): Double = ndArray.varNumber().toDouble()
+    override fun StructureND<Double>.sum(): Double = ndArray.sumNumber().toDouble()
+    override fun StructureND<Double>.min(): Double = ndArray.minNumber().toDouble()
+    override fun StructureND<Double>.max(): Double = ndArray.maxNumber().toDouble()
+    override fun StructureND<Double>.mean(): Double = ndArray.meanNumber().toDouble()
+    override fun StructureND<Double>.std(): Double = ndArray.stdNumber().toDouble()
+    override fun StructureND<Double>.variance(): Double = ndArray.varNumber().toDouble()
 }
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/AnalyticTensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/AnalyticTensorAlgebra.kt
index caafcc7c1..debfb3ef0 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/AnalyticTensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/AnalyticTensorAlgebra.kt
@@ -5,6 +5,7 @@
 
 package space.kscience.kmath.tensors.api
 
+import space.kscience.kmath.nd.StructureND
 import space.kscience.kmath.operations.Field
 
 
@@ -18,7 +19,7 @@ public interface AnalyticTensorAlgebra<T, A : Field<T>> : TensorPartialDivisionA
     /**
      * @return the mean of all elements in the input tensor.
      */
-    public fun Tensor<T>.mean(): T
+    public fun StructureND<T>.mean(): T
 
     /**
      * Returns the mean of each row of the input tensor in the given dimension [dim].
@@ -31,12 +32,12 @@ public interface AnalyticTensorAlgebra<T, A : Field<T>> : TensorPartialDivisionA
      * @param keepDim whether the output tensor has [dim] retained or not.
      * @return the mean of each row of the input tensor in the given dimension [dim].
      */
-    public fun Tensor<T>.mean(dim: Int, keepDim: Boolean): Tensor<T>
+    public fun StructureND<T>.mean(dim: Int, keepDim: Boolean): Tensor<T>
 
     /**
      * @return the standard deviation of all elements in the input tensor.
      */
-    public fun Tensor<T>.std(): T
+    public fun StructureND<T>.std(): T
 
     /**
      * Returns the standard deviation of each row of the input tensor in the given dimension [dim].
@@ -49,12 +50,12 @@ public interface AnalyticTensorAlgebra<T, A : Field<T>> : TensorPartialDivisionA
      * @param keepDim whether the output tensor has [dim] retained or not.
      * @return the standard deviation of each row of the input tensor in the given dimension [dim].
      */
-    public fun Tensor<T>.std(dim: Int, keepDim: Boolean): Tensor<T>
+    public fun StructureND<T>.std(dim: Int, keepDim: Boolean): Tensor<T>
 
     /**
      * @return the variance of all elements in the input tensor.
      */
-    public fun Tensor<T>.variance(): T
+    public fun StructureND<T>.variance(): T
 
     /**
      * Returns the variance of each row of the input tensor in the given dimension [dim].
@@ -67,57 +68,57 @@ public interface AnalyticTensorAlgebra<T, A : Field<T>> : TensorPartialDivisionA
      * @param keepDim whether the output tensor has [dim] retained or not.
      * @return the variance of each row of the input tensor in the given dimension [dim].
      */
-    public fun Tensor<T>.variance(dim: Int, keepDim: Boolean): Tensor<T>
+    public fun StructureND<T>.variance(dim: Int, keepDim: Boolean): Tensor<T>
 
     //For information: https://pytorch.org/docs/stable/generated/torch.exp.html
-    public fun Tensor<T>.exp(): Tensor<T>
+    public fun StructureND<T>.exp(): Tensor<T>
 
     //For information: https://pytorch.org/docs/stable/generated/torch.log.html
-    public fun Tensor<T>.ln(): Tensor<T>
+    public fun StructureND<T>.ln(): Tensor<T>
 
     //For information: https://pytorch.org/docs/stable/generated/torch.sqrt.html
-    public fun Tensor<T>.sqrt(): Tensor<T>
+    public fun StructureND<T>.sqrt(): Tensor<T>
 
     //For information: https://pytorch.org/docs/stable/generated/torch.acos.html#torch.cos
-    public fun Tensor<T>.cos(): Tensor<T>
+    public fun StructureND<T>.cos(): Tensor<T>
 
     //For information: https://pytorch.org/docs/stable/generated/torch.acos.html#torch.acos
-    public fun Tensor<T>.acos(): Tensor<T>
+    public fun StructureND<T>.acos(): Tensor<T>
 
     //For information: https://pytorch.org/docs/stable/generated/torch.acosh.html#torch.cosh
-    public fun Tensor<T>.cosh(): Tensor<T>
+    public fun StructureND<T>.cosh(): Tensor<T>
 
     //For information: https://pytorch.org/docs/stable/generated/torch.acosh.html#torch.acosh
-    public fun Tensor<T>.acosh(): Tensor<T>
+    public fun StructureND<T>.acosh(): Tensor<T>
 
     //For information: https://pytorch.org/docs/stable/generated/torch.asin.html#torch.sin
-    public fun Tensor<T>.sin(): Tensor<T>
+    public fun StructureND<T>.sin(): Tensor<T>
 
     //For information: https://pytorch.org/docs/stable/generated/torch.asin.html#torch.asin
-    public fun Tensor<T>.asin(): Tensor<T>
+    public fun StructureND<T>.asin(): Tensor<T>
 
     //For information: https://pytorch.org/docs/stable/generated/torch.asin.html#torch.sinh
-    public fun Tensor<T>.sinh(): Tensor<T>
+    public fun StructureND<T>.sinh(): Tensor<T>
 
     //For information: https://pytorch.org/docs/stable/generated/torch.asin.html#torch.asinh
-    public fun Tensor<T>.asinh(): Tensor<T>
+    public fun StructureND<T>.asinh(): Tensor<T>
 
     //For information: https://pytorch.org/docs/stable/generated/torch.atan.html#torch.tan
-    public fun Tensor<T>.tan(): Tensor<T>
+    public fun StructureND<T>.tan(): Tensor<T>
 
     //https://pytorch.org/docs/stable/generated/torch.atan.html#torch.atan
-    public fun Tensor<T>.atan(): Tensor<T>
+    public fun StructureND<T>.atan(): Tensor<T>
 
     //For information: https://pytorch.org/docs/stable/generated/torch.atanh.html#torch.tanh
-    public fun Tensor<T>.tanh(): Tensor<T>
+    public fun StructureND<T>.tanh(): Tensor<T>
 
     //For information: https://pytorch.org/docs/stable/generated/torch.atanh.html#torch.atanh
-    public fun Tensor<T>.atanh(): Tensor<T>
+    public fun StructureND<T>.atanh(): Tensor<T>
 
     //For information: https://pytorch.org/docs/stable/generated/torch.ceil.html#torch.ceil
-    public fun Tensor<T>.ceil(): Tensor<T>
+    public fun StructureND<T>.ceil(): Tensor<T>
 
     //For information: https://pytorch.org/docs/stable/generated/torch.floor.html#torch.floor
-    public fun Tensor<T>.floor(): Tensor<T>
+    public fun StructureND<T>.floor(): Tensor<T>
 
 }
\ No newline at end of file
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/LinearOpsTensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/LinearOpsTensorAlgebra.kt
index 3f32eb9ca..e8fa7dacd 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/LinearOpsTensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/LinearOpsTensorAlgebra.kt
@@ -5,6 +5,7 @@
 
 package space.kscience.kmath.tensors.api
 
+import space.kscience.kmath.nd.StructureND
 import space.kscience.kmath.operations.Field
 
 /**
@@ -20,7 +21,7 @@ public interface LinearOpsTensorAlgebra<T, A : Field<T>> : TensorPartialDivision
      *
      * @return the determinant.
      */
-    public fun Tensor<T>.det(): Tensor<T>
+    public fun StructureND<T>.det(): Tensor<T>
 
     /**
      * Computes the multiplicative inverse matrix of a square matrix input, or of each square matrix in a batched input.
@@ -30,7 +31,7 @@ public interface LinearOpsTensorAlgebra<T, A : Field<T>> : TensorPartialDivision
      *
      * @return the multiplicative inverse of a matrix.
      */
-    public fun Tensor<T>.inv(): Tensor<T>
+    public fun StructureND<T>.inv(): Tensor<T>
 
     /**
      * Cholesky decomposition.
@@ -46,7 +47,7 @@ public interface LinearOpsTensorAlgebra<T, A : Field<T>> : TensorPartialDivision
      * @receiver the `input`.
      * @return the batch of `L` matrices.
      */
-    public fun Tensor<T>.cholesky(): Tensor<T>
+    public fun StructureND<T>.cholesky(): Tensor<T>
 
     /**
      * QR decomposition.
@@ -60,7 +61,7 @@ public interface LinearOpsTensorAlgebra<T, A : Field<T>> : TensorPartialDivision
      * @receiver the `input`.
      * @return pair of `Q` and `R` tensors.
      */
-    public fun Tensor<T>.qr(): Pair<Tensor<T>, Tensor<T>>
+    public fun StructureND<T>.qr(): Pair<Tensor<T>, Tensor<T>>
 
     /**
      * LUP decomposition
@@ -74,7 +75,7 @@ public interface LinearOpsTensorAlgebra<T, A : Field<T>> : TensorPartialDivision
      * @receiver the `input`.
      * @return triple of P, L and U tensors
      */
-    public fun Tensor<T>.lu(): Triple<Tensor<T>, Tensor<T>, Tensor<T>>
+    public fun StructureND<T>.lu(): Triple<Tensor<T>, Tensor<T>, Tensor<T>>
 
     /**
      * Singular Value Decomposition.
@@ -90,7 +91,7 @@ public interface LinearOpsTensorAlgebra<T, A : Field<T>> : TensorPartialDivision
      * @receiver the `input`.
      * @return triple `Triple(U, S, V)`.
      */
-    public fun Tensor<T>.svd(): Triple<Tensor<T>, Tensor<T>, Tensor<T>>
+    public fun StructureND<T>.svd(): Triple<Tensor<T>, Tensor<T>, Tensor<T>>
 
     /**
      * Returns eigenvalues and eigenvectors of a real symmetric matrix `input` or a batch of real symmetric matrices,
@@ -100,6 +101,6 @@ public interface LinearOpsTensorAlgebra<T, A : Field<T>> : TensorPartialDivision
      * @receiver the `input`.
      * @return a pair `eigenvalues to eigenvectors`
      */
-    public fun Tensor<T>.symEig(): Pair<Tensor<T>, Tensor<T>>
+    public fun StructureND<T>.symEig(): Pair<Tensor<T>, Tensor<T>>
 
 }
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt
index e910c5c31..28d7c4677 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt
@@ -41,12 +41,12 @@ public interface TensorAlgebra<T, A : Ring<T>> : RingOpsND<T, A> {
     override operator fun T.plus(other: StructureND<T>): Tensor<T>
 
     /**
-     * Adds the scalar [value] to each element of this tensor and returns a new resulting tensor.
+     * Adds the scalar [arg] to each element of this tensor and returns a new resulting tensor.
      *
-     * @param value the number to be added to each element of this tensor.
-     * @return the sum of this tensor and [value].
+     * @param arg the number to be added to each element of this tensor.
+     * @return the sum of this tensor and [arg].
      */
-    override operator fun StructureND<T>.plus(value: T): Tensor<T>
+    override operator fun StructureND<T>.plus(arg: T): Tensor<T>
 
     /**
      * Each element of the tensor [other] is added to each element of this tensor.
@@ -166,7 +166,7 @@ public interface TensorAlgebra<T, A : Ring<T>> : RingOpsND<T, A> {
      * @param i index of the extractable tensor
      * @return subtensor of the original tensor with index [i]
      */
-    public operator fun Tensor<T>.get(i: Int): Tensor<T>
+    public operator fun StructureND<T>.get(i: Int): Tensor<T>
 
     /**
      * Returns a tensor that is a transposed version of this tensor. The given dimensions [i] and [j] are swapped.
@@ -176,7 +176,7 @@ public interface TensorAlgebra<T, A : Ring<T>> : RingOpsND<T, A> {
      * @param j the second dimension to be transposed
      * @return transposed tensor
      */
-    public fun Tensor<T>.transpose(i: Int = -2, j: Int = -1): Tensor<T>
+    public fun StructureND<T>.transpose(i: Int = -2, j: Int = -1): Tensor<T>
 
     /**
      * Returns a new tensor with the same data as the self tensor but of a different shape.
@@ -186,7 +186,7 @@ public interface TensorAlgebra<T, A : Ring<T>> : RingOpsND<T, A> {
      * @param shape the desired size
      * @return tensor with new shape
      */
-    public fun Tensor<T>.view(shape: IntArray): Tensor<T>
+    public fun StructureND<T>.view(shape: IntArray): Tensor<T>
 
     /**
      * View this tensor as the same size as [other].
@@ -196,7 +196,7 @@ public interface TensorAlgebra<T, A : Ring<T>> : RingOpsND<T, A> {
      * @param other the result tensor has the same size as other.
      * @return the result tensor with the same size as other.
      */
-    public fun Tensor<T>.viewAs(other: Tensor<T>): Tensor<T>
+    public fun StructureND<T>.viewAs(other: StructureND<T>): Tensor<T>
 
     /**
      * Matrix product of two tensors.
@@ -227,7 +227,7 @@ public interface TensorAlgebra<T, A : Ring<T>> : RingOpsND<T, A> {
      * @param other tensor to be multiplied.
      * @return a mathematical product of two tensors.
      */
-    public infix fun Tensor<T>.dot(other: Tensor<T>): Tensor<T>
+    public infix fun StructureND<T>.dot(other: StructureND<T>): Tensor<T>
 
     /**
      * Creates a tensor whose diagonals of certain 2D planes (specified by [dim1] and [dim2])
@@ -262,7 +262,7 @@ public interface TensorAlgebra<T, A : Ring<T>> : RingOpsND<T, A> {
     /**
      * @return the sum of all elements in the input tensor.
      */
-    public fun Tensor<T>.sum(): T
+    public fun StructureND<T>.sum(): T
 
     /**
      * Returns the sum of each row of the input tensor in the given dimension [dim].
@@ -275,12 +275,12 @@ public interface TensorAlgebra<T, A : Ring<T>> : RingOpsND<T, A> {
      * @param keepDim whether the output tensor has [dim] retained or not.
      * @return the sum of each row of the input tensor in the given dimension [dim].
      */
-    public fun Tensor<T>.sum(dim: Int, keepDim: Boolean): Tensor<T>
+    public fun StructureND<T>.sum(dim: Int, keepDim: Boolean): Tensor<T>
 
     /**
-     * @return the minimum value of all elements in the input tensor.
+     * @return the minimum value of all elements in the input tensor or null if there are no values
      */
-    public fun Tensor<T>.min(): T
+    public fun StructureND<T>.min(): T?
 
     /**
      * Returns the minimum value of each row of the input tensor in the given dimension [dim].
@@ -293,12 +293,12 @@ public interface TensorAlgebra<T, A : Ring<T>> : RingOpsND<T, A> {
      * @param keepDim whether the output tensor has [dim] retained or not.
      * @return the minimum value of each row of the input tensor in the given dimension [dim].
      */
-    public fun Tensor<T>.min(dim: Int, keepDim: Boolean): Tensor<T>
+    public fun StructureND<T>.min(dim: Int, keepDim: Boolean): Tensor<T>
 
     /**
-     * Returns the maximum value of all elements in the input tensor.
+     * Returns the maximum value of all elements in the input tensor or null if there are no values
      */
-    public fun Tensor<T>.max(): T
+    public fun StructureND<T>.max(): T?
 
     /**
      * Returns the maximum value of each row of the input tensor in the given dimension [dim].
@@ -311,7 +311,7 @@ public interface TensorAlgebra<T, A : Ring<T>> : RingOpsND<T, A> {
      * @param keepDim whether the output tensor has [dim] retained or not.
      * @return the maximum value of each row of the input tensor in the given dimension [dim].
      */
-    public fun Tensor<T>.max(dim: Int, keepDim: Boolean): Tensor<T>
+    public fun StructureND<T>.max(dim: Int, keepDim: Boolean): Tensor<T>
 
     /**
      * Returns the index of maximum value of each row of the input tensor in the given dimension [dim].
@@ -324,7 +324,7 @@ public interface TensorAlgebra<T, A : Ring<T>> : RingOpsND<T, A> {
      * @param keepDim whether the output tensor has [dim] retained or not.
      * @return the index of maximum value of each row of the input tensor in the given dimension [dim].
      */
-    public fun Tensor<T>.argMax(dim: Int, keepDim: Boolean): Tensor<T>
+    public fun StructureND<T>.argMax(dim: Int, keepDim: Boolean): Tensor<T>
 
     override fun add(left: StructureND<T>, right: StructureND<T>): Tensor<T> = left + right
 
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BroadcastDoubleTensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BroadcastDoubleTensorAlgebra.kt
index f3c5d2540..f53a0ca55 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BroadcastDoubleTensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BroadcastDoubleTensorAlgebra.kt
@@ -85,7 +85,7 @@ public object BroadcastDoubleTensorAlgebra : DoubleTensorAlgebra() {
         return DoubleTensor(newThis.shape, resBuffer)
     }
 
-    override fun Tensor<Double>.divAssign(other: Tensor<Double>) {
+    override fun Tensor<Double>.divAssign(other: StructureND<Double>) {
         val newOther = broadcastTo(other.tensor, tensor.shape)
         for (i in 0 until tensor.indices.linearSize) {
             tensor.mutableBuffer.array()[tensor.bufferStart + i] /=
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
index 3d343604b..be87f8019 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
@@ -115,7 +115,7 @@ public open class DoubleTensorAlgebra :
         TensorLinearStructure(shape).indices().map { DoubleField.initializer(it) }.toMutableList().toDoubleArray()
     )
 
-    override operator fun Tensor<Double>.get(i: Int): DoubleTensor {
+    override operator fun StructureND<Double>.get(i: Int): DoubleTensor {
         val lastShape = tensor.shape.drop(1).toIntArray()
         val newShape = if (lastShape.isNotEmpty()) lastShape else intArrayOf(1)
         val newStart = newShape.reduce(Int::times) * i + tensor.bufferStart
@@ -160,7 +160,7 @@ public open class DoubleTensorAlgebra :
      *
      * @return tensor filled with the scalar value `0.0`, with the same shape as `input` tensor.
      */
-    public fun Tensor<Double>.zeroesLike(): DoubleTensor = tensor.fullLike(0.0)
+    public fun StructureND<Double>.zeroesLike(): DoubleTensor = tensor.fullLike(0.0)
 
     /**
      * Returns a tensor filled with the scalar value `1.0`, with the shape defined by the variable argument [shape].
@@ -198,9 +198,8 @@ public open class DoubleTensorAlgebra :
      *
      * @return a copy of the `input` tensor with a copied buffer.
      */
-    public fun Tensor<Double>.copy(): DoubleTensor {
-        return DoubleTensor(tensor.shape, tensor.mutableBuffer.array().copyOf(), tensor.bufferStart)
-    }
+    public fun StructureND<Double>.copy(): DoubleTensor =
+        DoubleTensor(tensor.shape, tensor.mutableBuffer.array().copyOf(), tensor.bufferStart)
 
     override fun Double.plus(other: StructureND<Double>): DoubleTensor {
         val resBuffer = DoubleArray(other.tensor.numElements) { i ->
@@ -209,7 +208,7 @@ public open class DoubleTensorAlgebra :
         return DoubleTensor(other.shape, resBuffer)
     }
 
-    override fun StructureND<Double>.plus(value: Double): DoubleTensor = value + tensor
+    override fun StructureND<Double>.plus(arg: Double): DoubleTensor = arg + tensor
 
     override fun StructureND<Double>.plus(other: StructureND<Double>): DoubleTensor {
         checkShapesCompatible(tensor, other.tensor)
@@ -345,7 +344,7 @@ public open class DoubleTensorAlgebra :
         return DoubleTensor(tensor.shape, resBuffer)
     }
 
-    override fun Tensor<Double>.transpose(i: Int, j: Int): DoubleTensor {
+    override fun StructureND<Double>.transpose(i: Int, j: Int): DoubleTensor {
         val ii = tensor.minusIndex(i)
         val jj = tensor.minusIndex(j)
         checkTranspose(tensor.dimension, ii, jj)
@@ -369,15 +368,15 @@ public open class DoubleTensorAlgebra :
         return resTensor
     }
 
-    override fun Tensor<Double>.view(shape: IntArray): DoubleTensor {
+    override fun StructureND<Double>.view(shape: IntArray): DoubleTensor {
         checkView(tensor, shape)
         return DoubleTensor(shape, tensor.mutableBuffer.array(), tensor.bufferStart)
     }
 
-    override fun Tensor<Double>.viewAs(other: Tensor<Double>): DoubleTensor =
+    override fun StructureND<Double>.viewAs(other: StructureND<Double>): DoubleTensor =
         tensor.view(other.shape)
 
-    override infix fun Tensor<Double>.dot(other: Tensor<Double>): DoubleTensor {
+    override infix fun StructureND<Double>.dot(other: StructureND<Double>): DoubleTensor {
         if (tensor.shape.size == 1 && other.shape.size == 1) {
             return DoubleTensor(intArrayOf(1), doubleArrayOf(tensor.times(other).tensor.mutableBuffer.array().sum()))
         }
@@ -569,10 +568,10 @@ public open class DoubleTensorAlgebra :
      */
     public fun Tensor<Double>.rowsByIndices(indices: IntArray): DoubleTensor = stack(indices.map { this[it] })
 
-    internal inline fun Tensor<Double>.fold(foldFunction: (DoubleArray) -> Double): Double =
+    internal inline fun StructureND<Double>.fold(foldFunction: (DoubleArray) -> Double): Double =
         foldFunction(tensor.copyArray())
 
-    internal inline fun Tensor<Double>.foldDim(
+    internal inline fun StructureND<Double>.foldDim(
         foldFunction: (DoubleArray) -> Double,
         dim: Int,
         keepDim: Boolean,
@@ -596,30 +595,30 @@ public open class DoubleTensorAlgebra :
         return resTensor
     }
 
-    override fun Tensor<Double>.sum(): Double = tensor.fold { it.sum() }
+    override fun StructureND<Double>.sum(): Double = tensor.fold { it.sum() }
 
-    override fun Tensor<Double>.sum(dim: Int, keepDim: Boolean): DoubleTensor =
+    override fun StructureND<Double>.sum(dim: Int, keepDim: Boolean): DoubleTensor =
         foldDim({ x -> x.sum() }, dim, keepDim)
 
-    override fun Tensor<Double>.min(): Double = this.fold { it.minOrNull()!! }
+    override fun StructureND<Double>.min(): Double = this.fold { it.minOrNull()!! }
 
-    override fun Tensor<Double>.min(dim: Int, keepDim: Boolean): DoubleTensor =
+    override fun StructureND<Double>.min(dim: Int, keepDim: Boolean): DoubleTensor =
         foldDim({ x -> x.minOrNull()!! }, dim, keepDim)
 
-    override fun Tensor<Double>.max(): Double = this.fold { it.maxOrNull()!! }
+    override fun StructureND<Double>.max(): Double = this.fold { it.maxOrNull()!! }
 
-    override fun Tensor<Double>.max(dim: Int, keepDim: Boolean): DoubleTensor =
+    override fun StructureND<Double>.max(dim: Int, keepDim: Boolean): DoubleTensor =
         foldDim({ x -> x.maxOrNull()!! }, dim, keepDim)
 
-    override fun Tensor<Double>.argMax(dim: Int, keepDim: Boolean): DoubleTensor =
+    override fun StructureND<Double>.argMax(dim: Int, keepDim: Boolean): DoubleTensor =
         foldDim({ x ->
             x.withIndex().maxByOrNull { it.value }?.index!!.toDouble()
         }, dim, keepDim)
 
 
-    override fun Tensor<Double>.mean(): Double = this.fold { it.sum() / tensor.numElements }
+    override fun StructureND<Double>.mean(): Double = this.fold { it.sum() / tensor.numElements }
 
-    override fun Tensor<Double>.mean(dim: Int, keepDim: Boolean): DoubleTensor =
+    override fun StructureND<Double>.mean(dim: Int, keepDim: Boolean): DoubleTensor =
         foldDim(
             { arr ->
                 check(dim < dimension) { "Dimension $dim out of range $dimension" }
@@ -629,12 +628,12 @@ public open class DoubleTensorAlgebra :
             keepDim
         )
 
-    override fun Tensor<Double>.std(): Double = this.fold { arr ->
+    override fun StructureND<Double>.std(): Double = this.fold { arr ->
         val mean = arr.sum() / tensor.numElements
         sqrt(arr.sumOf { (it - mean) * (it - mean) } / (tensor.numElements - 1))
     }
 
-    override fun Tensor<Double>.std(dim: Int, keepDim: Boolean): DoubleTensor = foldDim(
+    override fun StructureND<Double>.std(dim: Int, keepDim: Boolean): DoubleTensor = foldDim(
         { arr ->
             check(dim < dimension) { "Dimension $dim out of range $dimension" }
             val mean = arr.sum() / shape[dim]
@@ -644,12 +643,12 @@ public open class DoubleTensorAlgebra :
         keepDim
     )
 
-    override fun Tensor<Double>.variance(): Double = this.fold { arr ->
+    override fun StructureND<Double>.variance(): Double = this.fold { arr ->
         val mean = arr.sum() / tensor.numElements
         arr.sumOf { (it - mean) * (it - mean) } / (tensor.numElements - 1)
     }
 
-    override fun Tensor<Double>.variance(dim: Int, keepDim: Boolean): DoubleTensor = foldDim(
+    override fun StructureND<Double>.variance(dim: Int, keepDim: Boolean): DoubleTensor = foldDim(
         { arr ->
             check(dim < dimension) { "Dimension $dim out of range $dimension" }
             val mean = arr.sum() / shape[dim]
@@ -672,7 +671,7 @@ public open class DoubleTensorAlgebra :
      * @param tensors the [List] of 1-dimensional tensors with same shape
      * @return `M`.
      */
-    public fun cov(tensors: List<Tensor<Double>>): DoubleTensor {
+    public fun cov(tensors: List<StructureND<Double>>): DoubleTensor {
         check(tensors.isNotEmpty()) { "List must have at least 1 element" }
         val n = tensors.size
         val m = tensors[0].shape[0]
@@ -689,43 +688,43 @@ public open class DoubleTensorAlgebra :
         return resTensor
     }
 
-    override fun Tensor<Double>.exp(): DoubleTensor = tensor.map { exp(it) }
+    override fun StructureND<Double>.exp(): DoubleTensor = tensor.map { exp(it) }
 
-    override fun Tensor<Double>.ln(): DoubleTensor = tensor.map { ln(it) }
+    override fun StructureND<Double>.ln(): DoubleTensor = tensor.map { ln(it) }
 
-    override fun Tensor<Double>.sqrt(): DoubleTensor = tensor.map { sqrt(it) }
+    override fun StructureND<Double>.sqrt(): DoubleTensor = tensor.map { sqrt(it) }
 
-    override fun Tensor<Double>.cos(): DoubleTensor = tensor.map { cos(it) }
+    override fun StructureND<Double>.cos(): DoubleTensor = tensor.map { cos(it) }
 
-    override fun Tensor<Double>.acos(): DoubleTensor = tensor.map { acos(it) }
+    override fun StructureND<Double>.acos(): DoubleTensor = tensor.map { acos(it) }
 
-    override fun Tensor<Double>.cosh(): DoubleTensor = tensor.map { cosh(it) }
+    override fun StructureND<Double>.cosh(): DoubleTensor = tensor.map { cosh(it) }
 
-    override fun Tensor<Double>.acosh(): DoubleTensor = tensor.map { acosh(it) }
+    override fun StructureND<Double>.acosh(): DoubleTensor = tensor.map { acosh(it) }
 
-    override fun Tensor<Double>.sin(): DoubleTensor = tensor.map { sin(it) }
+    override fun StructureND<Double>.sin(): DoubleTensor = tensor.map { sin(it) }
 
-    override fun Tensor<Double>.asin(): DoubleTensor = tensor.map { asin(it) }
+    override fun StructureND<Double>.asin(): DoubleTensor = tensor.map { asin(it) }
 
-    override fun Tensor<Double>.sinh(): DoubleTensor = tensor.map { sinh(it) }
+    override fun StructureND<Double>.sinh(): DoubleTensor = tensor.map { sinh(it) }
 
-    override fun Tensor<Double>.asinh(): DoubleTensor = tensor.map { asinh(it) }
+    override fun StructureND<Double>.asinh(): DoubleTensor = tensor.map { asinh(it) }
 
-    override fun Tensor<Double>.tan(): DoubleTensor = tensor.map { tan(it) }
+    override fun StructureND<Double>.tan(): DoubleTensor = tensor.map { tan(it) }
 
-    override fun Tensor<Double>.atan(): DoubleTensor = tensor.map { atan(it) }
+    override fun StructureND<Double>.atan(): DoubleTensor = tensor.map { atan(it) }
 
-    override fun Tensor<Double>.tanh(): DoubleTensor = tensor.map { tanh(it) }
+    override fun StructureND<Double>.tanh(): DoubleTensor = tensor.map { tanh(it) }
 
-    override fun Tensor<Double>.atanh(): DoubleTensor = tensor.map { atanh(it) }
+    override fun StructureND<Double>.atanh(): DoubleTensor = tensor.map { atanh(it) }
 
-    override fun Tensor<Double>.ceil(): DoubleTensor = tensor.map { ceil(it) }
+    override fun StructureND<Double>.ceil(): DoubleTensor = tensor.map { ceil(it) }
 
-    override fun Tensor<Double>.floor(): DoubleTensor = tensor.map { floor(it) }
+    override fun StructureND<Double>.floor(): DoubleTensor = tensor.map { floor(it) }
 
-    override fun Tensor<Double>.inv(): DoubleTensor = invLU(1e-9)
+    override fun StructureND<Double>.inv(): DoubleTensor = invLU(1e-9)
 
-    override fun Tensor<Double>.det(): DoubleTensor = detLU(1e-9)
+    override fun StructureND<Double>.det(): DoubleTensor = detLU(1e-9)
 
     /**
      * Computes the LU factorization of a matrix or batches of matrices `input`.
@@ -736,7 +735,7 @@ public open class DoubleTensorAlgebra :
      * The `factorization` has the shape ``(*, m, n)``, where``(*, m, n)`` is the shape of the `input` tensor.
      * The `pivots`  has the shape ``(∗, min(m, n))``. `pivots` stores all the intermediate transpositions of rows.
      */
-    public fun Tensor<Double>.luFactor(epsilon: Double): Pair<DoubleTensor, IntTensor> =
+    public fun StructureND<Double>.luFactor(epsilon: Double): Pair<DoubleTensor, IntTensor> =
         computeLU(tensor, epsilon)
             ?: throw IllegalArgumentException("Tensor contains matrices which are singular at precision $epsilon")
 
@@ -749,7 +748,7 @@ public open class DoubleTensorAlgebra :
      * The `factorization` has the shape ``(*, m, n)``, where``(*, m, n)`` is the shape of the `input` tensor.
      * The `pivots`  has the shape ``(∗, min(m, n))``. `pivots` stores all the intermediate transpositions of rows.
      */
-    public fun Tensor<Double>.luFactor(): Pair<DoubleTensor, IntTensor> = luFactor(1e-9)
+    public fun StructureND<Double>.luFactor(): Pair<DoubleTensor, IntTensor> = luFactor(1e-9)
 
     /**
      * Unpacks the data and pivots from a LU factorization of a tensor.
@@ -763,7 +762,7 @@ public open class DoubleTensorAlgebra :
      * @return triple of `P`, `L` and `U` tensors
      */
     public fun luPivot(
-        luTensor: Tensor<Double>,
+        luTensor: StructureND<Double>,
         pivotsTensor: Tensor<Int>,
     ): Triple<DoubleTensor, DoubleTensor, DoubleTensor> {
         checkSquareMatrix(luTensor.shape)
@@ -806,7 +805,7 @@ public open class DoubleTensorAlgebra :
      * Used when checking the positive definiteness of the input matrix or matrices.
      * @return a pair of `Q` and `R` tensors.
      */
-    public fun Tensor<Double>.cholesky(epsilon: Double): DoubleTensor {
+    public fun StructureND<Double>.cholesky(epsilon: Double): DoubleTensor {
         checkSquareMatrix(shape)
         checkPositiveDefinite(tensor, epsilon)
 
@@ -819,9 +818,9 @@ public open class DoubleTensorAlgebra :
         return lTensor
     }
 
-    override fun Tensor<Double>.cholesky(): DoubleTensor = cholesky(1e-6)
+    override fun StructureND<Double>.cholesky(): DoubleTensor = cholesky(1e-6)
 
-    override fun Tensor<Double>.qr(): Pair<DoubleTensor, DoubleTensor> {
+    override fun StructureND<Double>.qr(): Pair<DoubleTensor, DoubleTensor> {
         checkSquareMatrix(shape)
         val qTensor = zeroesLike()
         val rTensor = zeroesLike()
@@ -837,7 +836,7 @@ public open class DoubleTensorAlgebra :
         return qTensor to rTensor
     }
 
-    override fun Tensor<Double>.svd(): Triple<DoubleTensor, DoubleTensor, DoubleTensor> =
+    override fun StructureND<Double>.svd(): Triple<DoubleTensor, DoubleTensor, DoubleTensor> =
         svd(epsilon = 1e-10)
 
     /**
@@ -853,7 +852,7 @@ public open class DoubleTensorAlgebra :
      * i.e., the precision with which the cosine approaches 1 in an iterative algorithm.
      * @return a triple `Triple(U, S, V)`.
      */
-    public fun Tensor<Double>.svd(epsilon: Double): Triple<DoubleTensor, DoubleTensor, DoubleTensor> {
+    public fun StructureND<Double>.svd(epsilon: Double): Triple<DoubleTensor, DoubleTensor, DoubleTensor> {
         val size = tensor.dimension
         val commonShape = tensor.shape.sliceArray(0 until size - 2)
         val (n, m) = tensor.shape.sliceArray(size - 2 until size)
@@ -886,7 +885,7 @@ public open class DoubleTensorAlgebra :
         return Triple(uTensor.transpose(), sTensor, vTensor.transpose())
     }
 
-    override fun Tensor<Double>.symEig(): Pair<DoubleTensor, DoubleTensor> = symEig(epsilon = 1e-15)
+    override fun StructureND<Double>.symEig(): Pair<DoubleTensor, DoubleTensor> = symEig(epsilon = 1e-15)
 
     /**
      * Returns eigenvalues and eigenvectors of a real symmetric matrix input or a batch of real symmetric matrices,
@@ -896,7 +895,7 @@ public open class DoubleTensorAlgebra :
      * and when the cosine approaches 1 in the SVD algorithm.
      * @return a pair `eigenvalues to eigenvectors`.
      */
-    public fun Tensor<Double>.symEig(epsilon: Double): Pair<DoubleTensor, DoubleTensor> {
+    public fun StructureND<Double>.symEig(epsilon: Double): Pair<DoubleTensor, DoubleTensor> {
         checkSymmetric(tensor, epsilon)
 
         fun MutableStructure2D<Double>.cleanSym(n: Int) {
@@ -931,7 +930,7 @@ public open class DoubleTensorAlgebra :
      * with zero.
      * @return the determinant.
      */
-    public fun Tensor<Double>.detLU(epsilon: Double = 1e-9): DoubleTensor {
+    public fun StructureND<Double>.detLU(epsilon: Double = 1e-9): DoubleTensor {
         checkSquareMatrix(tensor.shape)
         val luTensor = tensor.copy()
         val pivotsTensor = tensor.setUpPivots()
@@ -964,7 +963,7 @@ public open class DoubleTensorAlgebra :
      * @param epsilon error in the LU algorithm&mdash;permissible error when comparing the determinant of a matrix with zero
      * @return the multiplicative inverse of a matrix.
      */
-    public fun Tensor<Double>.invLU(epsilon: Double = 1e-9): DoubleTensor {
+    public fun StructureND<Double>.invLU(epsilon: Double = 1e-9): DoubleTensor {
         val (luTensor, pivotsTensor) = luFactor(epsilon)
         val invTensor = luTensor.zeroesLike()
 
@@ -989,12 +988,12 @@ public open class DoubleTensorAlgebra :
      * @param epsilon permissible error when comparing the determinant of a matrix with zero.
      * @return triple of `P`, `L` and `U` tensors.
      */
-    public fun Tensor<Double>.lu(epsilon: Double = 1e-9): Triple<DoubleTensor, DoubleTensor, DoubleTensor> {
+    public fun StructureND<Double>.lu(epsilon: Double = 1e-9): Triple<DoubleTensor, DoubleTensor, DoubleTensor> {
         val (lu, pivots) = tensor.luFactor(epsilon)
         return luPivot(lu, pivots)
     }
 
-    override fun Tensor<Double>.lu(): Triple<DoubleTensor, DoubleTensor, DoubleTensor> = lu(1e-9)
+    override fun StructureND<Double>.lu(): Triple<DoubleTensor, DoubleTensor, DoubleTensor> = lu(1e-9)
 }
 
 public val Double.Companion.tensorAlgebra: DoubleTensorAlgebra.Companion get() = DoubleTensorAlgebra

From 64629561afed6465ef74bc8f51b892c94d17adac Mon Sep 17 00:00:00 2001
From: Alexander Nozik <altavir@gmail.com>
Date: Thu, 28 Oct 2021 10:52:40 +0300
Subject: [PATCH 10/44] [WIP] TensorFlow refactoring

---
 .../tensorflow/DoubleTensorFlowAlgebra.kt     | 26 +++++--
 .../kmath/tensorflow/TensorFlowAlgebra.kt     | 78 +++++++++----------
 2 files changed, 58 insertions(+), 46 deletions(-)

diff --git a/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/DoubleTensorFlowAlgebra.kt b/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/DoubleTensorFlowAlgebra.kt
index 864205e17..44420cd76 100644
--- a/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/DoubleTensorFlowAlgebra.kt
+++ b/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/DoubleTensorFlowAlgebra.kt
@@ -3,11 +3,13 @@ package space.kscience.kmath.tensorflow
 import org.tensorflow.Graph
 import org.tensorflow.Output
 import org.tensorflow.ndarray.NdArray
-import org.tensorflow.ndarray.Shape
 import org.tensorflow.op.core.Constant
 import org.tensorflow.types.TFloat64
 import space.kscience.kmath.misc.PerformancePitfall
-import space.kscience.kmath.tensors.api.Tensor
+import space.kscience.kmath.nd.DefaultStrides
+import space.kscience.kmath.nd.Shape
+import space.kscience.kmath.nd.StructureND
+import space.kscience.kmath.operations.DoubleField
 
 public class DoubleTensorFlowOutput(
     graph: Graph,
@@ -18,14 +20,28 @@ public class DoubleTensorFlowOutput(
 
 public class DoubleTensorFlowAlgebra internal constructor(
     graph: Graph
-) : TensorFlowAlgebra<Double, TFloat64>(graph) {
+) : TensorFlowAlgebra<Double, TFloat64, DoubleField>(graph) {
 
-    override fun Tensor<Double>.asTensorFlow(): TensorFlowOutput<Double, TFloat64> =
+    override val elementAlgebra: DoubleField get() = DoubleField
+
+    override fun structureND(
+        shape: Shape,
+        initializer: DoubleField.(IntArray) -> Double
+    ): StructureND<Double> {
+        val res = TFloat64.tensorOf(org.tensorflow.ndarray.Shape.of(*shape.toLongArray())) { array ->
+            DefaultStrides(shape).forEach { index ->
+                array.setDouble(elementAlgebra.initializer(index), *index.toLongArray())
+            }
+        }
+        return DoubleTensorFlowOutput(graph, ops.constant(res).asOutput())
+    }
+
+    override fun StructureND<Double>.asTensorFlow(): TensorFlowOutput<Double, TFloat64> =
         if (this is TensorFlowOutput<Double, *> && output.type() == TFloat64::class.java) {
             @Suppress("UNCHECKED_CAST")
             this as TensorFlowOutput<Double, TFloat64>
         } else {
-            val res = TFloat64.tensorOf(Shape.of(*shape.toLongArray())) { array ->
+            val res = TFloat64.tensorOf(org.tensorflow.ndarray.Shape.of(*shape.toLongArray())) { array ->
                 @OptIn(PerformancePitfall::class)
                 elements().forEach { (index, value) ->
                     array.setDouble(value, *index.toLongArray())
diff --git a/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/TensorFlowAlgebra.kt b/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/TensorFlowAlgebra.kt
index 12c1211db..e73620d01 100644
--- a/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/TensorFlowAlgebra.kt
+++ b/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/TensorFlowAlgebra.kt
@@ -11,6 +11,8 @@ import org.tensorflow.op.core.Constant
 import org.tensorflow.types.family.TType
 import space.kscience.kmath.misc.PerformancePitfall
 import space.kscience.kmath.nd.Shape
+import space.kscience.kmath.nd.StructureND
+import space.kscience.kmath.operations.Ring
 import space.kscience.kmath.tensors.api.Tensor
 import space.kscience.kmath.tensors.api.TensorAlgebra
 
@@ -28,13 +30,7 @@ public value class TensorFlowArray<T>(public val tensor: NdArray<T>) : Tensor<T>
 
     override fun get(index: IntArray): T = tensor.getObject(*index.toLongArray())
 
-    @PerformancePitfall
-    override fun elements(): Sequence<Pair<IntArray, T>> = sequence {
-        tensor.scalars().forEachIndexed { index: LongArray, ndArray: NdArray<T> ->
-            //yield(index.toIntArray() to ndArray.scalar)
-            TODO()
-        }
-    }
+    //TODO implement native element sequence
 
     override fun set(index: IntArray, value: T) {
         tensor.setObject(value, *index.toLongArray())
@@ -70,23 +66,23 @@ public abstract class TensorFlowOutput<T, TT : TType>(
 }
 
 
-public abstract class TensorFlowAlgebra<T, TT : TType> internal constructor(
+public abstract class TensorFlowAlgebra<T, TT : TType, A: Ring<T>> internal constructor(
     protected val graph: Graph
-) : TensorAlgebra<T> {
+) : TensorAlgebra<T,A> {
 
     protected val ops: Ops by lazy { Ops.create(graph) }
 
-    protected abstract fun Tensor<T>.asTensorFlow(): TensorFlowOutput<T, TT>
+    protected abstract fun StructureND<T>.asTensorFlow(): TensorFlowOutput<T, TT>
 
     protected abstract fun Output<TT>.wrap(): TensorFlowOutput<T, TT>
 
     protected abstract fun const(value: T): Constant<TT>
 
-    override fun Tensor<T>.valueOrNull(): T? = if (shape contentEquals intArrayOf(1))
+    override fun StructureND<T>.valueOrNull(): T? = if (shape contentEquals intArrayOf(1))
         get(Shape(0)) else null
 
-    private inline fun Tensor<T>.biOp(
-        other: Tensor<T>,
+    private inline fun StructureND<T>.biOp(
+        other: StructureND<T>,
         operation: (left: Operand<TT>, right: Operand<TT>) -> Operand<TT>
     ): TensorFlowOutput<T, TT> {
         val left = asTensorFlow().output
@@ -95,7 +91,7 @@ public abstract class TensorFlowAlgebra<T, TT : TType> internal constructor(
     }
 
     private inline fun T.biOp(
-        other: Tensor<T>,
+        other: StructureND<T>,
         operation: (left: Operand<TT>, right: Operand<TT>) -> Operand<TT>
     ): TensorFlowOutput<T, TT> {
         val left = const(this)
@@ -103,7 +99,7 @@ public abstract class TensorFlowAlgebra<T, TT : TType> internal constructor(
         return operation(left, right).asOutput().wrap()
     }
 
-    private inline fun Tensor<T>.biOp(
+    private inline fun StructureND<T>.biOp(
         value: T,
         operation: (left: Operand<TT>, right: Operand<TT>) -> Operand<TT>
     ): TensorFlowOutput<T, TT> {
@@ -113,7 +109,7 @@ public abstract class TensorFlowAlgebra<T, TT : TType> internal constructor(
     }
 
     private inline fun Tensor<T>.inPlaceOp(
-        other: Tensor<T>,
+        other: StructureND<T>,
         operation: (left: Operand<TT>, right: Operand<TT>) -> Operand<TT>
     ): Unit {
         val origin = asTensorFlow()
@@ -132,46 +128,46 @@ public abstract class TensorFlowAlgebra<T, TT : TType> internal constructor(
         origin.output = operation(left, right).asOutput()
     }
 
-    private inline fun unOp(value: Tensor<T>, operation: (Operand<TT>) -> Operand<TT>): TensorFlowOutput<T, TT> =
+    private inline fun unOp(value: StructureND<T>, operation: (Operand<TT>) -> Operand<TT>): TensorFlowOutput<T, TT> =
         operation(value.asTensorFlow().output).asOutput().wrap()
 
-    override fun T.plus(other: Tensor<T>): TensorFlowOutput<T, TT> = biOp(other, ops.math::add)
+    override fun T.plus(arg: StructureND<T>): TensorFlowOutput<T, TT> = biOp(arg, ops.math::add)
 
-    override fun Tensor<T>.plus(value: T): TensorFlowOutput<T, TT> = biOp(value, ops.math::add)
+    override fun StructureND<T>.plus(arg: T): TensorFlowOutput<T, TT> = biOp(arg, ops.math::add)
 
-    override fun Tensor<T>.plus(other: Tensor<T>): TensorFlowOutput<T, TT> = biOp(other, ops.math::add)
+    override fun StructureND<T>.plus(arg: StructureND<T>): TensorFlowOutput<T, TT> = biOp(arg, ops.math::add)
 
     override fun Tensor<T>.plusAssign(value: T): Unit = inPlaceOp(value, ops.math::add)
 
-    override fun Tensor<T>.plusAssign(other: Tensor<T>): Unit = inPlaceOp(other, ops.math::add)
+    override fun Tensor<T>.plusAssign(arg: StructureND<T>): Unit = inPlaceOp(arg, ops.math::add)
 
-    override fun Tensor<T>.minus(value: T): TensorFlowOutput<T, TT> = biOp(value, ops.math::sub)
+    override fun StructureND<T>.minus(arg: T): TensorFlowOutput<T, TT> = biOp(arg, ops.math::sub)
 
-    override fun Tensor<T>.minus(other: Tensor<T>): TensorFlowOutput<T, TT> = biOp(other, ops.math::sub)
+    override fun StructureND<T>.minus(arg: StructureND<T>): TensorFlowOutput<T, TT> = biOp(arg, ops.math::sub)
 
-    override fun T.minus(other: Tensor<T>): Tensor<T> = biOp(other, ops.math::sub)
+    override fun T.minus(arg: StructureND<T>): Tensor<T> = biOp(arg, ops.math::sub)
 
     override fun Tensor<T>.minusAssign(value: T): Unit = inPlaceOp(value, ops.math::sub)
 
-    override fun Tensor<T>.minusAssign(other: Tensor<T>): Unit = inPlaceOp(other, ops.math::sub)
+    override fun Tensor<T>.minusAssign(other: StructureND<T>): Unit = inPlaceOp(other, ops.math::sub)
 
-    override fun T.times(other: Tensor<T>): TensorFlowOutput<T, TT> = biOp(other, ops.math::mul)
+    override fun T.times(arg: StructureND<T>): TensorFlowOutput<T, TT> = biOp(arg, ops.math::mul)
 
-    override fun Tensor<T>.times(value: T): TensorFlowOutput<T, TT> = biOp(value, ops.math::mul)
+    override fun StructureND<T>.times(arg: T): TensorFlowOutput<T, TT> = biOp(arg, ops.math::mul)
 
-    override fun Tensor<T>.times(other: Tensor<T>): TensorFlowOutput<T, TT> = biOp(other, ops.math::mul)
+    override fun StructureND<T>.times(other: StructureND<T>): TensorFlowOutput<T, TT> = biOp(other, ops.math::mul)
 
     override fun Tensor<T>.timesAssign(value: T): Unit = inPlaceOp(value, ops.math::mul)
 
-    override fun Tensor<T>.timesAssign(other: Tensor<T>): Unit = inPlaceOp(other, ops.math::mul)
+    override fun Tensor<T>.timesAssign(arg: StructureND<T>): Unit = inPlaceOp(arg, ops.math::mul)
 
-    override fun Tensor<T>.unaryMinus(): TensorFlowOutput<T, TT> = unOp(this, ops.math::neg)
+    override fun StructureND<T>.unaryMinus(): TensorFlowOutput<T, TT> = unOp(this, ops.math::neg)
 
-    override fun Tensor<T>.get(i: Int): Tensor<T> {
+    override fun StructureND<T>.get(i: Int): Tensor<T> {
         TODO("Not yet implemented")
     }
 
-    override fun Tensor<T>.transpose(i: Int, j: Int): Tensor<T> = unOp(this) {
+    override fun StructureND<T>.transpose(i: Int, j: Int): Tensor<T> = unOp(this) {
         ops.linalg.transpose(it, ops.constant(intArrayOf(i, j)))
     }
 
@@ -179,11 +175,11 @@ public abstract class TensorFlowAlgebra<T, TT : TType> internal constructor(
         TODO("Not yet implemented")
     }
 
-    override fun Tensor<T>.viewAs(other: Tensor<T>): Tensor<T> {
+    override fun Tensor<T>.viewAs(other: StructureND<T>): Tensor<T> {
         TODO("Not yet implemented")
     }
 
-    override fun Tensor<T>.dot(other: Tensor<T>): TensorFlowOutput<T, TT> = biOp(other) { l, r ->
+    override fun StructureND<T>.dot(other: StructureND<T>): TensorFlowOutput<T, TT> = biOp(other) { l, r ->
         ops.linalg.matMul(l, r)
     }
 
@@ -191,29 +187,29 @@ public abstract class TensorFlowAlgebra<T, TT : TType> internal constructor(
         TODO("Not yet implemented")
     }
 
-    override fun Tensor<T>.sum(): T = TODO("Not yet implemented")
+    override fun StructureND<T>.sum(): T = TODO("Not yet implemented")
 
-    override fun Tensor<T>.sum(dim: Int, keepDim: Boolean): Tensor<T> {
+    override fun StructureND<T>.sum(dim: Int, keepDim: Boolean): Tensor<T> {
         TODO("Not yet implemented")
     }
 
-    override fun Tensor<T>.min(): T {
+    override fun StructureND<T>.min(): T {
         TODO("Not yet implemented")
     }
 
-    override fun Tensor<T>.min(dim: Int, keepDim: Boolean): Tensor<T> {
+    override fun StructureND<T>.min(dim: Int, keepDim: Boolean): Tensor<T> {
         TODO("Not yet implemented")
     }
 
-    override fun Tensor<T>.max(): T {
+    override fun StructureND<T>.max(): T {
         TODO("Not yet implemented")
     }
 
-    override fun Tensor<T>.max(dim: Int, keepDim: Boolean): Tensor<T> {
+    override fun StructureND<T>.max(dim: Int, keepDim: Boolean): Tensor<T> {
         TODO("Not yet implemented")
     }
 
-    override fun Tensor<T>.argMax(dim: Int, keepDim: Boolean): Tensor<T> {
+    override fun StructureND<T>.argMax(dim: Int, keepDim: Boolean): Tensor<T> {
         TODO("Not yet implemented")
     }
 }
\ No newline at end of file

From 4db7398a288cec1939b4b3bbcd02908bd89c501a Mon Sep 17 00:00:00 2001
From: Alexander Nozik <altavir@gmail.com>
Date: Thu, 28 Oct 2021 10:58:22 +0300
Subject: [PATCH 11/44] Tensor algebra generified

---
 .../structures/StructureReadBenchmark.kt      |  8 +--
 .../kscience/kmath/complex/Quaternion.kt      |  4 +-
 .../kscience/kmath/expressions/MstAlgebra.kt  | 10 +--
 .../kmath/linear/BufferedLinearSpace.kt       |  2 +
 .../space/kscience/kmath/nd/AlgebraND.kt      | 45 +++++++++++---
 .../kscience/kmath/nd/BufferAlgebraND.kt      |  6 ++
 .../space/kscience/kmath/nd/BufferND.kt       |  4 +-
 .../space/kscience/kmath/nd/DoubleFieldND.kt  | 13 ++--
 .../space/kscience/kmath/nd/ShapeIndexer.kt   |  8 ++-
 .../space/kscience/kmath/nd/StructureND.kt    |  6 +-
 .../kscience/kmath/operations/Algebra.kt      | 12 ++--
 .../kmath/operations/NumericAlgebra.kt        |  4 +-
 .../kscience/kmath/operations/numbers.kt      |  4 +-
 .../kscience/kmath/operations/BigNumbers.kt   |  4 +-
 .../kmath/structures/LazyStructureND.kt       |  2 +-
 .../kmath/histogram/IndexedHistogramSpace.kt  |  2 +-
 .../histogram/MultivariateHistogramTest.kt    |  2 +-
 .../kscience/kmath/jafama/KMathJafama.kt      |  4 +-
 .../kmath/multik/MultikTensorAlgebra.kt       | 46 +++++++-------
 .../kscience/kmath/nd4j/Nd4jArrayAlgebra.kt   |  4 +-
 .../kscience/kmath/nd4j/Nd4jTensorAlgebra.kt  | 30 ++++-----
 .../kmath/tensors/api/TensorAlgebra.kt        | 62 +++++++++----------
 .../api/TensorPartialDivisionAlgebra.kt       |  8 +--
 .../core/BroadcastDoubleTensorAlgebra.kt      | 24 +++----
 .../kmath/tensors/core/BufferedTensor.kt      |  5 +-
 .../kmath/tensors/core/DoubleTensorAlgebra.kt | 60 +++++++++---------
 .../tensors/core/internal/tensorCastsUtils.kt |  2 +-
 .../kscience/kmath/viktor/ViktorFieldOpsND.kt | 16 ++---
 .../kmath/viktor/ViktorStructureND.kt         |  2 +-
 29 files changed, 221 insertions(+), 178 deletions(-)

diff --git a/examples/src/main/kotlin/space/kscience/kmath/structures/StructureReadBenchmark.kt b/examples/src/main/kotlin/space/kscience/kmath/structures/StructureReadBenchmark.kt
index 84dd6538c..db77129a2 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/structures/StructureReadBenchmark.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/structures/StructureReadBenchmark.kt
@@ -19,24 +19,24 @@ fun main() {
 
     measureTimeMillis {
         var res = 0.0
-        strides.indices().forEach { res = structure[it] }
+        strides.asSequence().forEach { res = structure[it] }
     } // warmup
 
     val time1 = measureTimeMillis {
         var res = 0.0
-        strides.indices().forEach { res = structure[it] }
+        strides.asSequence().forEach { res = structure[it] }
     }
     println("Structure reading finished in $time1 millis")
 
     val time2 = measureTimeMillis {
         var res = 0.0
-        strides.indices().forEach { res = buffer[strides.offset(it)] }
+        strides.asSequence().forEach { res = buffer[strides.offset(it)] }
     }
     println("Buffer reading finished in $time2 millis")
 
     val time3 = measureTimeMillis {
         var res = 0.0
-        strides.indices().forEach { res = array[strides.offset(it)] }
+        strides.asSequence().forEach { res = array[strides.offset(it)] }
     }
     println("Array reading finished in $time3 millis")
 }
diff --git a/kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/Quaternion.kt b/kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/Quaternion.kt
index 47cc61313..ff9a8302a 100644
--- a/kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/Quaternion.kt
+++ b/kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/Quaternion.kt
@@ -166,8 +166,8 @@ public object QuaternionField : Field<Quaternion>, Norm<Quaternion, Quaternion>,
     override operator fun Quaternion.plus(other: Number): Quaternion = Quaternion(w + other.toDouble(), x, y, z)
     override operator fun Quaternion.minus(other: Number): Quaternion = Quaternion(w - other.toDouble(), x, y, z)
 
-    override operator fun Number.times(other: Quaternion): Quaternion =
-        Quaternion(toDouble() * other.w, toDouble() * other.x, toDouble() * other.y, toDouble() * other.z)
+    override operator fun Number.times(arg: Quaternion): Quaternion =
+        Quaternion(toDouble() * arg.w, toDouble() * arg.x, toDouble() * arg.y, toDouble() * arg.z)
 
     override fun Quaternion.unaryMinus(): Quaternion = Quaternion(-w, -x, -y, -z)
     override fun norm(arg: Quaternion): Quaternion = sqrt(arg.conjugate * arg)
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/MstAlgebra.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/MstAlgebra.kt
index dd3c46207..ca0671ccb 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/MstAlgebra.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/MstAlgebra.kt
@@ -38,8 +38,8 @@ public object MstGroup : Group<MST>, NumericAlgebra<MST>, ScaleOperations<MST> {
     override operator fun MST.unaryMinus(): MST.Unary =
         unaryOperationFunction(GroupOps.MINUS_OPERATION)(this)
 
-    override operator fun MST.minus(other: MST): MST.Binary =
-        binaryOperationFunction(GroupOps.MINUS_OPERATION)(this, other)
+    override operator fun MST.minus(arg: MST): MST.Binary =
+        binaryOperationFunction(GroupOps.MINUS_OPERATION)(this, arg)
 
     override fun scale(a: MST, value: Double): MST.Binary =
         binaryOperationFunction(RingOps.TIMES_OPERATION)(a, number(value))
@@ -72,7 +72,7 @@ public object MstRing : Ring<MST>, NumbersAddOps<MST>, ScaleOperations<MST> {
 
     override operator fun MST.unaryPlus(): MST.Unary = MstGroup { +this@unaryPlus }
     override operator fun MST.unaryMinus(): MST.Unary = MstGroup { -this@unaryMinus }
-    override operator fun MST.minus(other: MST): MST.Binary = MstGroup { this@minus - other }
+    override operator fun MST.minus(arg: MST): MST.Binary = MstGroup { this@minus - arg }
 
     override fun binaryOperationFunction(operation: String): (left: MST, right: MST) -> MST.Binary =
         MstGroup.binaryOperationFunction(operation)
@@ -103,7 +103,7 @@ public object MstField : Field<MST>, NumbersAddOps<MST>, ScaleOperations<MST> {
 
     override operator fun MST.unaryPlus(): MST.Unary = MstRing { +this@unaryPlus }
     override operator fun MST.unaryMinus(): MST.Unary = MstRing { -this@unaryMinus }
-    override operator fun MST.minus(other: MST): MST.Binary = MstRing { this@minus - other }
+    override operator fun MST.minus(arg: MST): MST.Binary = MstRing { this@minus - arg }
 
     override fun binaryOperationFunction(operation: String): (left: MST, right: MST) -> MST.Binary =
         MstRing.binaryOperationFunction(operation)
@@ -144,7 +144,7 @@ public object MstExtendedField : ExtendedField<MST>, NumericAlgebra<MST> {
     override fun divide(left: MST, right: MST): MST.Binary = MstField.divide(left, right)
     override operator fun MST.unaryPlus(): MST.Unary = MstField { +this@unaryPlus }
     override operator fun MST.unaryMinus(): MST.Unary = MstField { -this@unaryMinus }
-    override operator fun MST.minus(other: MST): MST.Binary = MstField { this@minus - other }
+    override operator fun MST.minus(arg: MST): MST.Binary = MstField { this@minus - arg }
 
     override fun power(arg: MST, pow: Number): MST.Binary =
         binaryOperationFunction(PowerOperations.POW_OPERATION)(arg, number(pow))
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/BufferedLinearSpace.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/BufferedLinearSpace.kt
index f72b9bd81..410fb8505 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/BufferedLinearSpace.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/BufferedLinearSpace.kt
@@ -29,6 +29,7 @@ public class BufferedLinearSpace<T, out A : Ring<T>>(
     override fun buildVector(size: Int, initializer: A.(Int) -> T): Point<T> =
         bufferAlgebra.buffer(size) { elementAlgebra.initializer(it) }
 
+    @OptIn(PerformancePitfall::class)
     override fun Matrix<T>.unaryMinus(): Matrix<T> = ndAlgebra {
         asND().map { -it }.as2D()
     }
@@ -83,6 +84,7 @@ public class BufferedLinearSpace<T, out A : Ring<T>>(
         }
     }
 
+    @OptIn(PerformancePitfall::class)
     override fun Matrix<T>.times(value: T): Matrix<T> = ndAlgebra {
         asND().map { it * value }.as2D()
     }
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/AlgebraND.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/AlgebraND.kt
index 3d2d08fac..4e52c8ba9 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/AlgebraND.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/AlgebraND.kt
@@ -5,6 +5,7 @@
 
 package space.kscience.kmath.nd
 
+import space.kscience.kmath.misc.PerformancePitfall
 import space.kscience.kmath.misc.UnstableKMathAPI
 import space.kscience.kmath.operations.*
 import kotlin.reflect.KClass
@@ -24,6 +25,8 @@ public fun Shape(shapeFirst: Int, vararg shapeRest: Int): Shape = intArrayOf(sha
 
 public interface WithShape {
     public val shape: Shape
+
+    public val indices: ShapeIndexer get() = DefaultStrides(shape)
 }
 
 /**
@@ -46,21 +49,37 @@ public interface AlgebraND<T, out C : Algebra<T>> {
     /**
      * Maps elements from one structure to another one by applying [transform] to them.
      */
-    public fun StructureND<T>.map(transform: C.(T) -> T): StructureND<T>
+    @PerformancePitfall("Very slow on remote execution algebras")
+    public fun StructureND<T>.map(transform: C.(T) -> T): StructureND<T> = structureND(shape) { index ->
+        elementAlgebra.transform(get(index))
+    }
 
     /**
      * Maps elements from one structure to another one by applying [transform] to them alongside with their indices.
      */
-    public fun StructureND<T>.mapIndexed(transform: C.(index: IntArray, T) -> T): StructureND<T>
+    @PerformancePitfall("Very slow on remote execution algebras")
+    public fun StructureND<T>.mapIndexed(transform: C.(index: IntArray, T) -> T): StructureND<T> =
+        structureND(shape) { index ->
+            elementAlgebra.transform(index, get(index))
+        }
 
     /**
      * Combines two structures into one.
      */
-    public fun zip(left: StructureND<T>, right: StructureND<T>, transform: C.(T, T) -> T): StructureND<T>
+    @PerformancePitfall("Very slow on remote execution algebras")
+    public fun zip(left: StructureND<T>, right: StructureND<T>, transform: C.(T, T) -> T): StructureND<T> {
+        require(left.shape.contentEquals(right.shape)) {
+            "Expected left and right of the same shape, but left - ${left.shape} and right - ${right.shape}"
+        }
+        return structureND(left.shape) { index ->
+            elementAlgebra.transform(left[index], right[index])
+        }
+    }
 
     /**
      * Element-wise invocation of function working on [T] on a [StructureND].
      */
+    @PerformancePitfall
     public operator fun Function1<T, T>.invoke(structure: StructureND<T>): StructureND<T> =
         structure.map { value -> this@invoke(value) }
 
@@ -104,6 +123,7 @@ public interface GroupOpsND<T, out A : GroupOps<T>> : GroupOps<StructureND<T>>,
      * @param right the addend.
      * @return the sum.
      */
+    @OptIn(PerformancePitfall::class)
     override fun add(left: StructureND<T>, right: StructureND<T>): StructureND<T> =
         zip(left, right) { aValue, bValue -> add(aValue, bValue) }
 
@@ -116,6 +136,7 @@ public interface GroupOpsND<T, out A : GroupOps<T>> : GroupOps<StructureND<T>>,
      * @param arg the addend.
      * @return the sum.
      */
+    @OptIn(PerformancePitfall::class)
     public operator fun StructureND<T>.plus(arg: T): StructureND<T> = this.map { value -> add(arg, value) }
 
     /**
@@ -125,25 +146,28 @@ public interface GroupOpsND<T, out A : GroupOps<T>> : GroupOps<StructureND<T>>,
      * @param arg the divisor.
      * @return the quotient.
      */
+    @OptIn(PerformancePitfall::class)
     public operator fun StructureND<T>.minus(arg: T): StructureND<T> = this.map { value -> add(arg, -value) }
 
     /**
      * Adds an element to ND structure of it.
      *
      * @receiver the augend.
-     * @param other the addend.
+     * @param arg the addend.
      * @return the sum.
      */
-    public operator fun T.plus(other: StructureND<T>): StructureND<T> = other.map { value -> add(this@plus, value) }
+    @OptIn(PerformancePitfall::class)
+    public operator fun T.plus(arg: StructureND<T>): StructureND<T> = arg.map { value -> add(this@plus, value) }
 
     /**
      * Subtracts an ND structure from an element of it.
      *
      * @receiver the dividend.
-     * @param other the divisor.
+     * @param arg the divisor.
      * @return the quotient.
      */
-    public operator fun T.minus(other: StructureND<T>): StructureND<T> = other.map { value -> add(-this@minus, value) }
+    @OptIn(PerformancePitfall::class)
+    public operator fun T.minus(arg: StructureND<T>): StructureND<T> = arg.map { value -> add(-this@minus, value) }
 
     public companion object
 }
@@ -166,6 +190,7 @@ public interface RingOpsND<T, out A : RingOps<T>> : RingOps<StructureND<T>>, Gro
      * @param right the multiplier.
      * @return the product.
      */
+    @OptIn(PerformancePitfall::class)
     override fun multiply(left: StructureND<T>, right: StructureND<T>): StructureND<T> =
         zip(left, right) { aValue, bValue -> multiply(aValue, bValue) }
 
@@ -178,6 +203,7 @@ public interface RingOpsND<T, out A : RingOps<T>> : RingOps<StructureND<T>>, Gro
      * @param arg the multiplier.
      * @return the product.
      */
+    @OptIn(PerformancePitfall::class)
     public operator fun StructureND<T>.times(arg: T): StructureND<T> = this.map { value -> multiply(arg, value) }
 
     /**
@@ -187,6 +213,7 @@ public interface RingOpsND<T, out A : RingOps<T>> : RingOps<StructureND<T>>, Gro
      * @param arg the multiplier.
      * @return the product.
      */
+    @OptIn(PerformancePitfall::class)
     public operator fun T.times(arg: StructureND<T>): StructureND<T> = arg.map { value -> multiply(this@times, value) }
 
     public companion object
@@ -214,6 +241,7 @@ public interface FieldOpsND<T, out A : Field<T>> :
      * @param right the divisor.
      * @return the quotient.
      */
+    @OptIn(PerformancePitfall::class)
     override fun divide(left: StructureND<T>, right: StructureND<T>): StructureND<T> =
         zip(left, right) { aValue, bValue -> divide(aValue, bValue) }
 
@@ -225,6 +253,7 @@ public interface FieldOpsND<T, out A : Field<T>> :
      * @param arg the divisor.
      * @return the quotient.
      */
+    @OptIn(PerformancePitfall::class)
     public operator fun StructureND<T>.div(arg: T): StructureND<T> = this.map { value -> divide(arg, value) }
 
     /**
@@ -234,8 +263,10 @@ public interface FieldOpsND<T, out A : Field<T>> :
      * @param arg the divisor.
      * @return the quotient.
      */
+    @OptIn(PerformancePitfall::class)
     public operator fun T.div(arg: StructureND<T>): StructureND<T> = arg.map { divide(it, this@div) }
 
+    @OptIn(PerformancePitfall::class)
     override fun scale(a: StructureND<T>, value: Double): StructureND<T> = a.map { scale(it, value) }
 }
 
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferAlgebraND.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferAlgebraND.kt
index cf007e7c9..0e094a8c7 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferAlgebraND.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferAlgebraND.kt
@@ -7,6 +7,7 @@
 
 package space.kscience.kmath.nd
 
+import space.kscience.kmath.misc.PerformancePitfall
 import space.kscience.kmath.misc.UnstableKMathAPI
 import space.kscience.kmath.operations.*
 import space.kscience.kmath.structures.BufferFactory
@@ -34,11 +35,14 @@ public interface BufferAlgebraND<T, out A : Algebra<T>> : AlgebraND<T, A> {
         }
     }
 
+    @PerformancePitfall
     override fun StructureND<T>.map(transform: A.(T) -> T): BufferND<T> = mapInline(toBufferND(), transform)
 
+    @PerformancePitfall
     override fun StructureND<T>.mapIndexed(transform: A.(index: IntArray, T) -> T): BufferND<T> =
         mapIndexedInline(toBufferND(), transform)
 
+    @PerformancePitfall
     override fun zip(left: StructureND<T>, right: StructureND<T>, transform: A.(T, T) -> T): BufferND<T> =
         zipInline(left.toBufferND(), right.toBufferND(), transform)
 
@@ -78,6 +82,7 @@ internal inline fun <T, A : Algebra<T>> BufferAlgebraND<T, A>.zipInline(
     return BufferND(indexes, bufferAlgebra.zipInline(l.buffer, r.buffer, block))
 }
 
+@OptIn(PerformancePitfall::class)
 public open class BufferedGroupNDOps<T, out A : Group<T>>(
     override val bufferAlgebra: BufferAlgebra<T, A>,
     override val indexerBuilder: (IntArray) -> ShapeIndexer = BufferAlgebraND.defaultIndexerBuilder
@@ -101,6 +106,7 @@ public open class BufferedFieldOpsND<T, out A : Field<T>>(
         indexerBuilder: (IntArray) -> ShapeIndexer = BufferAlgebraND.defaultIndexerBuilder
     ) : this(BufferFieldOps(elementAlgebra, bufferFactory), indexerBuilder)
 
+    @OptIn(PerformancePitfall::class)
     override fun scale(a: StructureND<T>, value: Double): StructureND<T> = a.map { it * value }
 }
 
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferND.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferND.kt
index 2b6fd3693..19924616d 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferND.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferND.kt
@@ -19,7 +19,7 @@ import space.kscience.kmath.structures.MutableBufferFactory
  * @param buffer The underlying buffer.
  */
 public open class BufferND<out T>(
-    public val indices: ShapeIndexer,
+    override val indices: ShapeIndexer,
     public open val buffer: Buffer<T>,
 ) : StructureND<T> {
 
@@ -28,7 +28,7 @@ public open class BufferND<out T>(
     override val shape: IntArray get() = indices.shape
 
     @PerformancePitfall
-    override fun elements(): Sequence<Pair<IntArray, T>> = indices.indices().map {
+    override fun elements(): Sequence<Pair<IntArray, T>> = indices.asSequence().map {
         it to this[it]
     }
 
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/DoubleFieldND.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/DoubleFieldND.kt
index abb8e46ea..8cc5472a9 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/DoubleFieldND.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/DoubleFieldND.kt
@@ -5,6 +5,7 @@
 
 package space.kscience.kmath.nd
 
+import space.kscience.kmath.misc.PerformancePitfall
 import space.kscience.kmath.misc.UnstableKMathAPI
 import space.kscience.kmath.operations.*
 import space.kscience.kmath.structures.DoubleBuffer
@@ -50,10 +51,12 @@ public sealed class DoubleFieldOpsND : BufferedFieldOpsND<Double, DoubleField>(D
         return DoubleBufferND(indexes, DoubleBuffer(indexes.linearSize) { block(lArray[it], rArray[it]) })
     }
 
+    @OptIn(PerformancePitfall::class)
     override fun StructureND<Double>.map(transform: DoubleField.(Double) -> Double): BufferND<Double> =
         mapInline(toBufferND()) { DoubleField.transform(it) }
 
 
+    @OptIn(PerformancePitfall::class)
     override fun zip(
         left: StructureND<Double>,
         right: StructureND<Double>,
@@ -92,11 +95,11 @@ public sealed class DoubleFieldOpsND : BufferedFieldOpsND<Double, DoubleField>(D
 
     override fun StructureND<Double>.unaryPlus(): DoubleBufferND = toBufferND()
 
-    override fun StructureND<Double>.plus(other: StructureND<Double>): DoubleBufferND =
-        zipInline(toBufferND(), other.toBufferND()) { l: Double, r: Double -> l + r }
+    override fun StructureND<Double>.plus(arg: StructureND<Double>): DoubleBufferND =
+        zipInline(toBufferND(), arg.toBufferND()) { l: Double, r: Double -> l + r }
 
-    override fun StructureND<Double>.minus(other: StructureND<Double>): DoubleBufferND =
-        zipInline(toBufferND(), other.toBufferND()) { l: Double, r: Double -> l - r }
+    override fun StructureND<Double>.minus(arg: StructureND<Double>): DoubleBufferND =
+        zipInline(toBufferND(), arg.toBufferND()) { l: Double, r: Double -> l - r }
 
     override fun StructureND<Double>.times(other: StructureND<Double>): DoubleBufferND =
         zipInline(toBufferND(), other.toBufferND()) { l: Double, r: Double -> l * r }
@@ -107,7 +110,7 @@ public sealed class DoubleFieldOpsND : BufferedFieldOpsND<Double, DoubleField>(D
     override fun StructureND<Double>.div(k: Number): DoubleBufferND =
         mapInline(toBufferND()) { it / k.toDouble() }
 
-    override fun Number.times(other: StructureND<Double>): DoubleBufferND = other * this
+    override fun Number.times(arg: StructureND<Double>): DoubleBufferND = arg * this
 
     override fun StructureND<Double>.plus(arg: Double): DoubleBufferND = mapInline(toBufferND()) { it + arg }
 
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/ShapeIndexer.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/ShapeIndexer.kt
index 1ce6b7519..20e180dd1 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/ShapeIndexer.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/ShapeIndexer.kt
@@ -10,7 +10,7 @@ import kotlin.native.concurrent.ThreadLocal
 /**
  * A converter from linear index to multivariate index
  */
-public interface ShapeIndexer{
+public interface ShapeIndexer: Iterable<IntArray>{
     public val shape: Shape
 
     /**
@@ -33,7 +33,9 @@ public interface ShapeIndexer{
     /**
      * Iterate over ND indices in a natural order
      */
-    public fun indices(): Sequence<IntArray>
+    public fun asSequence(): Sequence<IntArray>
+
+    override fun iterator(): Iterator<IntArray> = asSequence().iterator()
 
     override fun equals(other: Any?): Boolean
     override fun hashCode(): Int
@@ -58,7 +60,7 @@ public abstract class Strides: ShapeIndexer {
     /**
      * Iterate over ND indices in a natural order
      */
-    public override fun indices(): Sequence<IntArray> = (0 until linearSize).asSequence().map(::index)
+    public override fun asSequence(): Sequence<IntArray> = (0 until linearSize).asSequence().map(::index)
 }
 
 /**
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/StructureND.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/StructureND.kt
index 496abf60f..614d97950 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/StructureND.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/StructureND.kt
@@ -28,12 +28,12 @@ public interface StructureFeature : Feature<StructureFeature>
  *
  * @param T the type of items.
  */
-public interface StructureND<out T> : Featured<StructureFeature> {
+public interface StructureND<out T> : Featured<StructureFeature>, WithShape {
     /**
      * The shape of structure i.e., non-empty sequence of non-negative integers that specify sizes of dimensions of
      * this structure.
      */
-    public val shape: Shape
+    override val shape: Shape
 
     /**
      * The count of dimensions in this structure. It should be equal to size of [shape].
@@ -54,7 +54,7 @@ public interface StructureND<out T> : Featured<StructureFeature> {
      * @return the lazy sequence of pairs of indices to values.
      */
     @PerformancePitfall
-    public fun elements(): Sequence<Pair<IntArray, T>>
+    public fun elements(): Sequence<Pair<IntArray, T>> = indices.asSequence().map { it to get(it) }
 
     /**
      * Feature is some additional structure information that allows to access it special properties or hints.
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/Algebra.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/Algebra.kt
index d0b0c0b73..c6af75237 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/Algebra.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/Algebra.kt
@@ -149,19 +149,19 @@ public interface GroupOps<T> : Algebra<T> {
      * Addition of two elements.
      *
      * @receiver the augend.
-     * @param other the addend.
+     * @param arg the addend.
      * @return the sum.
      */
-    public operator fun T.plus(other: T): T = add(this, other)
+    public operator fun T.plus(arg: T): T = add(this, arg)
 
     /**
      * Subtraction of two elements.
      *
      * @receiver the minuend.
-     * @param other the subtrahend.
+     * @param arg the subtrahend.
      * @return the difference.
      */
-    public operator fun T.minus(other: T): T = add(this, -other)
+    public operator fun T.minus(arg: T): T = add(this, -arg)
     // Dynamic dispatch of operations
     override fun unaryOperationFunction(operation: String): (arg: T) -> T = when (operation) {
         PLUS_OPERATION -> { arg -> +arg }
@@ -219,9 +219,9 @@ public interface RingOps<T> : GroupOps<T> {
      * Multiplies this element by scalar.
      *
      * @receiver the multiplier.
-     * @param other the multiplicand.
+     * @param arg the multiplicand.
      */
-    public operator fun T.times(other: T): T = multiply(this, other)
+    public operator fun T.times(arg: T): T = multiply(this, arg)
 
     override fun binaryOperationFunction(operation: String): (left: T, right: T) -> T = when (operation) {
         TIMES_OPERATION -> ::multiply
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/NumericAlgebra.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/NumericAlgebra.kt
index 6be3449f9..9d9fc0885 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/NumericAlgebra.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/NumericAlgebra.kt
@@ -139,10 +139,10 @@ public interface ScaleOperations<T> : Algebra<T> {
      * Multiplication of this number by element.
      *
      * @receiver the multiplier.
-     * @param other the multiplicand.
+     * @param arg the multiplicand.
      * @return the product.
      */
-    public operator fun Number.times(other: T): T = other * this
+    public operator fun Number.times(arg: T): T = arg * this
 }
 
 /**
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/numbers.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/numbers.kt
index 1168dc6ba..0b111349c 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/numbers.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/numbers.kt
@@ -228,8 +228,8 @@ public object ByteRing : Ring<Byte>, Norm<Byte, Byte>, NumericAlgebra<Byte> {
     override fun norm(arg: Byte): Byte = if (arg > 0) arg else (-arg).toByte()
 
     override inline fun Byte.unaryMinus(): Byte = (-this).toByte()
-    override inline fun Byte.plus(other: Byte): Byte = (this + other).toByte()
-    override inline fun Byte.minus(other: Byte): Byte = (this - other).toByte()
+    override inline fun Byte.plus(arg: Byte): Byte = (this + arg).toByte()
+    override inline fun Byte.minus(arg: Byte): Byte = (this - arg).toByte()
     override inline fun Byte.times(other: Byte): Byte = (this * other).toByte()
 }
 
diff --git a/kmath-core/src/jvmMain/kotlin/space/kscience/kmath/operations/BigNumbers.kt b/kmath-core/src/jvmMain/kotlin/space/kscience/kmath/operations/BigNumbers.kt
index 3a9c242fc..f63efbef2 100644
--- a/kmath-core/src/jvmMain/kotlin/space/kscience/kmath/operations/BigNumbers.kt
+++ b/kmath-core/src/jvmMain/kotlin/space/kscience/kmath/operations/BigNumbers.kt
@@ -19,7 +19,7 @@ public object JBigIntegerField : Ring<BigInteger>, NumericAlgebra<BigInteger> {
 
     override fun number(value: Number): BigInteger = BigInteger.valueOf(value.toLong())
     override fun add(left: BigInteger, right: BigInteger): BigInteger = left.add(right)
-    override operator fun BigInteger.minus(other: BigInteger): BigInteger = subtract(other)
+    override operator fun BigInteger.minus(arg: BigInteger): BigInteger = subtract(arg)
     override fun multiply(left: BigInteger, right: BigInteger): BigInteger = left.multiply(right)
 
     override operator fun BigInteger.unaryMinus(): BigInteger = negate()
@@ -40,7 +40,7 @@ public abstract class JBigDecimalFieldBase internal constructor(
         get() = BigDecimal.ONE
 
     override fun add(left: BigDecimal, right: BigDecimal): BigDecimal = left.add(right)
-    override operator fun BigDecimal.minus(other: BigDecimal): BigDecimal = subtract(other)
+    override operator fun BigDecimal.minus(arg: BigDecimal): BigDecimal = subtract(arg)
     override fun number(value: Number): BigDecimal = BigDecimal.valueOf(value.toDouble())
 
     override fun scale(a: BigDecimal, value: Double): BigDecimal =
diff --git a/kmath-coroutines/src/jvmMain/kotlin/space/kscience/kmath/structures/LazyStructureND.kt b/kmath-coroutines/src/jvmMain/kotlin/space/kscience/kmath/structures/LazyStructureND.kt
index 3eb6f3aa6..1feb43f33 100644
--- a/kmath-coroutines/src/jvmMain/kotlin/space/kscience/kmath/structures/LazyStructureND.kt
+++ b/kmath-coroutines/src/jvmMain/kotlin/space/kscience/kmath/structures/LazyStructureND.kt
@@ -28,7 +28,7 @@ public class LazyStructureND<out T>(
     @OptIn(PerformancePitfall::class)
     override fun elements(): Sequence<Pair<IntArray, T>> {
         val strides = DefaultStrides(shape)
-        val res = runBlocking { strides.indices().toList().map { index -> index to await(index) } }
+        val res = runBlocking { strides.asSequence().toList().map { index -> index to await(index) } }
         return res.asSequence()
     }
 }
diff --git a/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/IndexedHistogramSpace.kt b/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/IndexedHistogramSpace.kt
index a495577c3..f36f45389 100644
--- a/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/IndexedHistogramSpace.kt
+++ b/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/IndexedHistogramSpace.kt
@@ -38,7 +38,7 @@ public class IndexedHistogram<T : Comparable<T>, V : Any>(
     override val dimension: Int get() = context.shape.size
 
     override val bins: Iterable<Bin<T>>
-        get() = DefaultStrides(context.shape).indices().map {
+        get() = DefaultStrides(context.shape).asSequence().map {
             context.produceBin(it, values[it])
         }.asIterable()
 
diff --git a/kmath-histograms/src/commonTest/kotlin/space/kscience/kmath/histogram/MultivariateHistogramTest.kt b/kmath-histograms/src/commonTest/kotlin/space/kscience/kmath/histogram/MultivariateHistogramTest.kt
index 23dd076e1..e07488741 100644
--- a/kmath-histograms/src/commonTest/kotlin/space/kscience/kmath/histogram/MultivariateHistogramTest.kt
+++ b/kmath-histograms/src/commonTest/kotlin/space/kscience/kmath/histogram/MultivariateHistogramTest.kt
@@ -70,7 +70,7 @@ internal class MultivariateHistogramTest {
             }
             val res = histogram1 - histogram2
             assertTrue {
-                DefaultStrides(shape).indices().all { index ->
+                DefaultStrides(shape).asSequence().all { index ->
                     res.values[index] <= histogram1.values[index]
                 }
             }
diff --git a/kmath-jafama/src/main/kotlin/space/kscience/kmath/jafama/KMathJafama.kt b/kmath-jafama/src/main/kotlin/space/kscience/kmath/jafama/KMathJafama.kt
index 645a14e30..9ff7ffc9c 100644
--- a/kmath-jafama/src/main/kotlin/space/kscience/kmath/jafama/KMathJafama.kt
+++ b/kmath-jafama/src/main/kotlin/space/kscience/kmath/jafama/KMathJafama.kt
@@ -57,8 +57,8 @@ public object JafamaDoubleField : ExtendedField<Double>, Norm<Double, Double>, S
     override inline fun norm(arg: Double): Double = FastMath.abs(arg)
 
     override inline fun Double.unaryMinus(): Double = -this
-    override inline fun Double.plus(other: Double): Double = this + other
-    override inline fun Double.minus(other: Double): Double = this - other
+    override inline fun Double.plus(arg: Double): Double = this + arg
+    override inline fun Double.minus(arg: Double): Double = this - arg
     override inline fun Double.times(other: Double): Double = this * other
     override inline fun Double.div(other: Double): Double = this / other
 }
diff --git a/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt b/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
index ec0d4c6d9..02959d4fb 100644
--- a/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
+++ b/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
@@ -59,7 +59,7 @@ public abstract class MultikTensorAlgebra<T, A : Ring<T>> : TensorAlgebra<T, A>
     override fun structureND(shape: Shape, initializer: A.(IntArray) -> T): MultikTensor<T> {
         val strides = DefaultStrides(shape)
         val memoryView = initMemoryView<T>(strides.linearSize, type)
-        strides.indices().forEachIndexed { linearIndex, tensorIndex ->
+        strides.asSequence().forEachIndexed { linearIndex, tensorIndex ->
             memoryView[linearIndex] = elementAlgebra.initializer(tensorIndex)
         }
         return MultikTensor(NDArray(memoryView, shape = shape, dim = DN(shape.size)))
@@ -131,14 +131,14 @@ public abstract class MultikTensorAlgebra<T, A : Ring<T>> : TensorAlgebra<T, A>
         get(intArrayOf(0))
     } else null
 
-    override fun T.plus(other: StructureND<T>): MultikTensor<T> =
-        other.plus(this)
+    override fun T.plus(arg: StructureND<T>): MultikTensor<T> =
+        arg.plus(this)
 
     override fun StructureND<T>.plus(arg: T): MultikTensor<T> =
         asMultik().array.deepCopy().apply { plusAssign(arg) }.wrap()
 
-    override fun StructureND<T>.plus(other: StructureND<T>): MultikTensor<T> =
-        asMultik().array.plus(other.asMultik().array).wrap()
+    override fun StructureND<T>.plus(arg: StructureND<T>): MultikTensor<T> =
+        asMultik().array.plus(arg.asMultik().array).wrap()
 
     override fun Tensor<T>.plusAssign(value: T) {
         if (this is MultikTensor) {
@@ -148,21 +148,21 @@ public abstract class MultikTensorAlgebra<T, A : Ring<T>> : TensorAlgebra<T, A>
         }
     }
 
-    override fun Tensor<T>.plusAssign(other: StructureND<T>) {
+    override fun Tensor<T>.plusAssign(arg: StructureND<T>) {
         if (this is MultikTensor) {
-            array.plusAssign(other.asMultik().array)
+            array.plusAssign(arg.asMultik().array)
         } else {
-            mapInPlace { index, t -> elementAlgebra.add(t, other[index]) }
+            mapInPlace { index, t -> elementAlgebra.add(t, arg[index]) }
         }
     }
 
-    override fun T.minus(other: StructureND<T>): MultikTensor<T> = (-(other.asMultik().array - this)).wrap()
+    override fun T.minus(arg: StructureND<T>): MultikTensor<T> = (-(arg.asMultik().array - this)).wrap()
 
     override fun StructureND<T>.minus(arg: T): MultikTensor<T> =
         asMultik().array.deepCopy().apply { minusAssign(arg) }.wrap()
 
-    override fun StructureND<T>.minus(other: StructureND<T>): MultikTensor<T> =
-        asMultik().array.minus(other.asMultik().array).wrap()
+    override fun StructureND<T>.minus(arg: StructureND<T>): MultikTensor<T> =
+        asMultik().array.minus(arg.asMultik().array).wrap()
 
     override fun Tensor<T>.minusAssign(value: T) {
         if (this is MultikTensor) {
@@ -172,11 +172,11 @@ public abstract class MultikTensorAlgebra<T, A : Ring<T>> : TensorAlgebra<T, A>
         }
     }
 
-    override fun Tensor<T>.minusAssign(other: StructureND<T>) {
+    override fun Tensor<T>.minusAssign(arg: StructureND<T>) {
         if (this is MultikTensor) {
-            array.minusAssign(other.asMultik().array)
+            array.minusAssign(arg.asMultik().array)
         } else {
-            mapInPlace { index, t -> elementAlgebra.run { t - other[index] } }
+            mapInPlace { index, t -> elementAlgebra.run { t - arg[index] } }
         }
     }
 
@@ -186,8 +186,8 @@ public abstract class MultikTensorAlgebra<T, A : Ring<T>> : TensorAlgebra<T, A>
     override fun StructureND<T>.times(arg: T): Tensor<T> =
         asMultik().array.deepCopy().apply { timesAssign(arg) }.wrap()
 
-    override fun StructureND<T>.times(other: StructureND<T>): MultikTensor<T> =
-        asMultik().array.times(other.asMultik().array).wrap()
+    override fun StructureND<T>.times(arg: StructureND<T>): MultikTensor<T> =
+        asMultik().array.times(arg.asMultik().array).wrap()
 
     override fun Tensor<T>.timesAssign(value: T) {
         if (this is MultikTensor) {
@@ -197,11 +197,11 @@ public abstract class MultikTensorAlgebra<T, A : Ring<T>> : TensorAlgebra<T, A>
         }
     }
 
-    override fun Tensor<T>.timesAssign(other: StructureND<T>) {
+    override fun Tensor<T>.timesAssign(arg: StructureND<T>) {
         if (this is MultikTensor) {
-            array.timesAssign(other.asMultik().array)
+            array.timesAssign(arg.asMultik().array)
         } else {
-            mapInPlace { index, t -> elementAlgebra.multiply(t, other[index]) }
+            mapInPlace { index, t -> elementAlgebra.multiply(t, arg[index]) }
         }
     }
 
@@ -212,7 +212,7 @@ public abstract class MultikTensorAlgebra<T, A : Ring<T>> : TensorAlgebra<T, A>
 
     override fun StructureND<T>.transpose(i: Int, j: Int): MultikTensor<T> = asMultik().array.transpose(i, j).wrap()
 
-    override fun StructureND<T>.view(shape: IntArray): MultikTensor<T> {
+    override fun Tensor<T>.view(shape: IntArray): MultikTensor<T> {
         require(shape.all { it > 0 })
         require(shape.fold(1, Int::times) == this.shape.size) {
             "Cannot reshape array of size ${this.shape.size} into a new shape ${
@@ -231,7 +231,7 @@ public abstract class MultikTensorAlgebra<T, A : Ring<T>> : TensorAlgebra<T, A>
         }.wrap()
     }
 
-    override fun StructureND<T>.viewAs(other: StructureND<T>): MultikTensor<T> = view(other.shape)
+    override fun Tensor<T>.viewAs(other: StructureND<T>): MultikTensor<T> = view(other.shape)
 
     override fun StructureND<T>.dot(other: StructureND<T>): MultikTensor<T> =
         if (this.shape.size == 1 && other.shape.size == 1) {
@@ -283,8 +283,8 @@ public abstract class MultikDivisionTensorAlgebra<T, A : Field<T>>
     override fun StructureND<T>.div(arg: T): MultikTensor<T> =
         asMultik().array.deepCopy().apply { divAssign(arg) }.wrap()
 
-    override fun StructureND<T>.div(other: StructureND<T>): MultikTensor<T> =
-        asMultik().array.div(other.asMultik().array).wrap()
+    override fun StructureND<T>.div(arg: StructureND<T>): MultikTensor<T> =
+        asMultik().array.div(arg.asMultik().array).wrap()
 
     override fun Tensor<T>.divAssign(value: T) {
         if (this is MultikTensor) {
diff --git a/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jArrayAlgebra.kt b/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jArrayAlgebra.kt
index 1f312849a..b1cc1f834 100644
--- a/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jArrayAlgebra.kt
+++ b/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jArrayAlgebra.kt
@@ -76,8 +76,8 @@ public sealed interface Nd4jArrayGroupOps<T, out S : Ring<T>> : GroupOpsND<T, S>
     override fun add(left: StructureND<T>, right: StructureND<T>): Nd4jArrayStructure<T> =
         left.ndArray.add(right.ndArray).wrap()
 
-    override operator fun StructureND<T>.minus(other: StructureND<T>): Nd4jArrayStructure<T> =
-        ndArray.sub(other.ndArray).wrap()
+    override operator fun StructureND<T>.minus(arg: StructureND<T>): Nd4jArrayStructure<T> =
+        ndArray.sub(arg.ndArray).wrap()
 
     override operator fun StructureND<T>.unaryMinus(): Nd4jArrayStructure<T> =
         ndArray.neg().wrap()
diff --git a/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jTensorAlgebra.kt b/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jTensorAlgebra.kt
index 3fb03c964..33765b40a 100644
--- a/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jTensorAlgebra.kt
+++ b/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jTensorAlgebra.kt
@@ -51,29 +51,29 @@ public sealed interface Nd4jTensorAlgebra<T : Number, A : Field<T>> : AnalyticTe
         return structureND(left.shape) { index -> elementAlgebra.transform(left[index], right[index]) }
     }
 
-    override fun T.plus(other: StructureND<T>): Nd4jArrayStructure<T> = other.ndArray.add(this).wrap()
+    override fun T.plus(arg: StructureND<T>): Nd4jArrayStructure<T> = arg.ndArray.add(this).wrap()
     override fun StructureND<T>.plus(arg: T): Nd4jArrayStructure<T> = ndArray.add(arg).wrap()
 
-    override fun StructureND<T>.plus(other: StructureND<T>): Nd4jArrayStructure<T> = ndArray.add(other.ndArray).wrap()
+    override fun StructureND<T>.plus(arg: StructureND<T>): Nd4jArrayStructure<T> = ndArray.add(arg.ndArray).wrap()
 
     override fun Tensor<T>.plusAssign(value: T) {
         ndArray.addi(value)
     }
 
-    override fun Tensor<T>.plusAssign(other: StructureND<T>) {
-        ndArray.addi(other.ndArray)
+    override fun Tensor<T>.plusAssign(arg: StructureND<T>) {
+        ndArray.addi(arg.ndArray)
     }
 
-    override fun T.minus(other: StructureND<T>): Nd4jArrayStructure<T> = other.ndArray.rsub(this).wrap()
+    override fun T.minus(arg: StructureND<T>): Nd4jArrayStructure<T> = arg.ndArray.rsub(this).wrap()
     override fun StructureND<T>.minus(arg: T): Nd4jArrayStructure<T> = ndArray.sub(arg).wrap()
-    override fun StructureND<T>.minus(other: StructureND<T>): Nd4jArrayStructure<T> = ndArray.sub(other.ndArray).wrap()
+    override fun StructureND<T>.minus(arg: StructureND<T>): Nd4jArrayStructure<T> = ndArray.sub(arg.ndArray).wrap()
 
     override fun Tensor<T>.minusAssign(value: T) {
         ndArray.rsubi(value)
     }
 
-    override fun Tensor<T>.minusAssign(other: StructureND<T>) {
-        ndArray.subi(other.ndArray)
+    override fun Tensor<T>.minusAssign(arg: StructureND<T>) {
+        ndArray.subi(arg.ndArray)
     }
 
     override fun T.times(arg: StructureND<T>): Nd4jArrayStructure<T> = arg.ndArray.mul(this).wrap()
@@ -81,14 +81,14 @@ public sealed interface Nd4jTensorAlgebra<T : Number, A : Field<T>> : AnalyticTe
     override fun StructureND<T>.times(arg: T): Nd4jArrayStructure<T> =
         ndArray.mul(arg).wrap()
 
-    override fun StructureND<T>.times(other: StructureND<T>): Nd4jArrayStructure<T> = ndArray.mul(other.ndArray).wrap()
+    override fun StructureND<T>.times(arg: StructureND<T>): Nd4jArrayStructure<T> = ndArray.mul(arg.ndArray).wrap()
 
     override fun Tensor<T>.timesAssign(value: T) {
         ndArray.muli(value)
     }
 
-    override fun Tensor<T>.timesAssign(other: StructureND<T>) {
-        ndArray.mmuli(other.ndArray)
+    override fun Tensor<T>.timesAssign(arg: StructureND<T>) {
+        ndArray.mmuli(arg.ndArray)
     }
 
     override fun StructureND<T>.unaryMinus(): Nd4jArrayStructure<T> = ndArray.neg().wrap()
@@ -105,8 +105,8 @@ public sealed interface Nd4jTensorAlgebra<T : Number, A : Field<T>> : AnalyticTe
     override fun StructureND<T>.max(dim: Int, keepDim: Boolean): Nd4jArrayStructure<T> =
         ndArray.max(keepDim, dim).wrap()
 
-    override fun StructureND<T>.view(shape: IntArray): Nd4jArrayStructure<T> = ndArray.reshape(shape).wrap()
-    override fun StructureND<T>.viewAs(other: StructureND<T>): Nd4jArrayStructure<T> = view(other.shape)
+    override fun Tensor<T>.view(shape: IntArray): Nd4jArrayStructure<T> = ndArray.reshape(shape).wrap()
+    override fun Tensor<T>.viewAs(other: StructureND<T>): Nd4jArrayStructure<T> = view(other.shape)
 
     override fun StructureND<T>.argMax(dim: Int, keepDim: Boolean): Nd4jArrayStructure<T> =
         ndBase.get().argmax(ndArray, keepDim, dim).wrap()
@@ -142,7 +142,7 @@ public sealed interface Nd4jTensorAlgebra<T : Number, A : Field<T>> : AnalyticTe
 
     override fun T.div(arg: StructureND<T>): Nd4jArrayStructure<T> = arg.ndArray.rdiv(this).wrap()
     override fun StructureND<T>.div(arg: T): Nd4jArrayStructure<T> = ndArray.div(arg).wrap()
-    override fun StructureND<T>.div(other: StructureND<T>): Nd4jArrayStructure<T> = ndArray.div(other.ndArray).wrap()
+    override fun StructureND<T>.div(arg: StructureND<T>): Nd4jArrayStructure<T> = ndArray.div(arg.ndArray).wrap()
 
     override fun Tensor<T>.divAssign(value: T) {
         ndArray.divi(value)
@@ -172,7 +172,7 @@ public object DoubleNd4jTensorAlgebra : Nd4jTensorAlgebra<Double, DoubleField> {
     override fun structureND(shape: Shape, initializer: DoubleField.(IntArray) -> Double): Nd4jArrayStructure<Double> {
         val array: INDArray = Nd4j.zeros(*shape)
         val indices = DefaultStrides(shape)
-        indices.indices().forEach { index ->
+        indices.asSequence().forEach { index ->
             array.putScalar(index, elementAlgebra.initializer(index))
         }
         return array.wrap()
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt
index 28d7c4677..8c445cf2d 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt
@@ -32,13 +32,13 @@ public interface TensorAlgebra<T, A : Ring<T>> : RingOpsND<T, A> {
         valueOrNull() ?: throw IllegalArgumentException("Inconsistent value for tensor of with $shape shape")
 
     /**
-     * Each element of the tensor [other] is added to this value.
+     * Each element of the tensor [arg] is added to this value.
      * The resulting tensor is returned.
      *
-     * @param other tensor to be added.
-     * @return the sum of this value and tensor [other].
+     * @param arg tensor to be added.
+     * @return the sum of this value and tensor [arg].
      */
-    override operator fun T.plus(other: StructureND<T>): Tensor<T>
+    override operator fun T.plus(arg: StructureND<T>): Tensor<T>
 
     /**
      * Adds the scalar [arg] to each element of this tensor and returns a new resulting tensor.
@@ -49,13 +49,13 @@ public interface TensorAlgebra<T, A : Ring<T>> : RingOpsND<T, A> {
     override operator fun StructureND<T>.plus(arg: T): Tensor<T>
 
     /**
-     * Each element of the tensor [other] is added to each element of this tensor.
+     * Each element of the tensor [arg] is added to each element of this tensor.
      * The resulting tensor is returned.
      *
-     * @param other tensor to be added.
-     * @return the sum of this tensor and [other].
+     * @param arg tensor to be added.
+     * @return the sum of this tensor and [arg].
      */
-    override operator fun StructureND<T>.plus(other: StructureND<T>): Tensor<T>
+    override operator fun StructureND<T>.plus(arg: StructureND<T>): Tensor<T>
 
     /**
      * Adds the scalar [value] to each element of this tensor.
@@ -65,20 +65,20 @@ public interface TensorAlgebra<T, A : Ring<T>> : RingOpsND<T, A> {
     public operator fun Tensor<T>.plusAssign(value: T)
 
     /**
-     * Each element of the tensor [other] is added to each element of this tensor.
+     * Each element of the tensor [arg] is added to each element of this tensor.
      *
-     * @param other tensor to be added.
+     * @param arg tensor to be added.
      */
-    public operator fun Tensor<T>.plusAssign(other: StructureND<T>)
+    public operator fun Tensor<T>.plusAssign(arg: StructureND<T>)
 
     /**
-     * Each element of the tensor [other] is subtracted from this value.
+     * Each element of the tensor [arg] is subtracted from this value.
      * The resulting tensor is returned.
      *
-     * @param other tensor to be subtracted.
-     * @return the difference between this value and tensor [other].
+     * @param arg tensor to be subtracted.
+     * @return the difference between this value and tensor [arg].
      */
-    override operator fun T.minus(other: StructureND<T>): Tensor<T>
+    override operator fun T.minus(arg: StructureND<T>): Tensor<T>
 
     /**
      * Subtracts the scalar [arg] from each element of this tensor and returns a new resulting tensor.
@@ -89,13 +89,13 @@ public interface TensorAlgebra<T, A : Ring<T>> : RingOpsND<T, A> {
     override operator fun StructureND<T>.minus(arg: T): Tensor<T>
 
     /**
-     * Each element of the tensor [other] is subtracted from each element of this tensor.
+     * Each element of the tensor [arg] is subtracted from each element of this tensor.
      * The resulting tensor is returned.
      *
-     * @param other tensor to be subtracted.
-     * @return the difference between this tensor and [other].
+     * @param arg tensor to be subtracted.
+     * @return the difference between this tensor and [arg].
      */
-    override operator fun StructureND<T>.minus(other: StructureND<T>): Tensor<T>
+    override operator fun StructureND<T>.minus(arg: StructureND<T>): Tensor<T>
 
     /**
      * Subtracts the scalar [value] from each element of this tensor.
@@ -105,11 +105,11 @@ public interface TensorAlgebra<T, A : Ring<T>> : RingOpsND<T, A> {
     public operator fun Tensor<T>.minusAssign(value: T)
 
     /**
-     * Each element of the tensor [other] is subtracted from each element of this tensor.
+     * Each element of the tensor [arg] is subtracted from each element of this tensor.
      *
-     * @param other tensor to be subtracted.
+     * @param arg tensor to be subtracted.
      */
-    public operator fun Tensor<T>.minusAssign(other: StructureND<T>)
+    public operator fun Tensor<T>.minusAssign(arg: StructureND<T>)
 
 
     /**
@@ -130,13 +130,13 @@ public interface TensorAlgebra<T, A : Ring<T>> : RingOpsND<T, A> {
     override operator fun StructureND<T>.times(arg: T): Tensor<T>
 
     /**
-     * Each element of the tensor [other] is multiplied by each element of this tensor.
+     * Each element of the tensor [arg] is multiplied by each element of this tensor.
      * The resulting tensor is returned.
      *
-     * @param other tensor to be multiplied.
-     * @return the product of this tensor and [other].
+     * @param arg tensor to be multiplied.
+     * @return the product of this tensor and [arg].
      */
-    override operator fun StructureND<T>.times(other: StructureND<T>): Tensor<T>
+    override operator fun StructureND<T>.times(arg: StructureND<T>): Tensor<T>
 
     /**
      * Multiplies the scalar [value] by each element of this tensor.
@@ -146,11 +146,11 @@ public interface TensorAlgebra<T, A : Ring<T>> : RingOpsND<T, A> {
     public operator fun Tensor<T>.timesAssign(value: T)
 
     /**
-     * Each element of the tensor [other] is multiplied by each element of this tensor.
+     * Each element of the tensor [arg] is multiplied by each element of this tensor.
      *
-     * @param other tensor to be multiplied.
+     * @param arg tensor to be multiplied.
      */
-    public operator fun Tensor<T>.timesAssign(other: StructureND<T>)
+    public operator fun Tensor<T>.timesAssign(arg: StructureND<T>)
 
     /**
      * Numerical negative, element-wise.
@@ -186,7 +186,7 @@ public interface TensorAlgebra<T, A : Ring<T>> : RingOpsND<T, A> {
      * @param shape the desired size
      * @return tensor with new shape
      */
-    public fun StructureND<T>.view(shape: IntArray): Tensor<T>
+    public fun Tensor<T>.view(shape: IntArray): Tensor<T>
 
     /**
      * View this tensor as the same size as [other].
@@ -196,7 +196,7 @@ public interface TensorAlgebra<T, A : Ring<T>> : RingOpsND<T, A> {
      * @param other the result tensor has the same size as other.
      * @return the result tensor with the same size as other.
      */
-    public fun StructureND<T>.viewAs(other: StructureND<T>): Tensor<T>
+    public fun Tensor<T>.viewAs(other: StructureND<T>): Tensor<T>
 
     /**
      * Matrix product of two tensors.
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorPartialDivisionAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorPartialDivisionAlgebra.kt
index dece54834..304cc66cc 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorPartialDivisionAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorPartialDivisionAlgebra.kt
@@ -35,13 +35,13 @@ public interface TensorPartialDivisionAlgebra<T, A : Field<T>> : TensorAlgebra<T
     override operator fun StructureND<T>.div(arg: T): Tensor<T>
 
     /**
-     * Each element of the tensor [other] is divided by each element of this tensor.
+     * Each element of the tensor [arg] is divided by each element of this tensor.
      * The resulting tensor is returned.
      *
-     * @param other tensor to be divided by.
-     * @return the division of this tensor by [other].
+     * @param arg tensor to be divided by.
+     * @return the division of this tensor by [arg].
      */
-    override operator fun StructureND<T>.div(other: StructureND<T>): Tensor<T>
+    override operator fun StructureND<T>.div(arg: StructureND<T>): Tensor<T>
 
     override fun divide(left: StructureND<T>, right: StructureND<T>): StructureND<T> = left.div(right)
 
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BroadcastDoubleTensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BroadcastDoubleTensorAlgebra.kt
index f53a0ca55..83d1f7b35 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BroadcastDoubleTensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BroadcastDoubleTensorAlgebra.kt
@@ -19,8 +19,8 @@ import space.kscience.kmath.tensors.core.internal.tensor
  */
 public object BroadcastDoubleTensorAlgebra : DoubleTensorAlgebra() {
 
-    override fun StructureND<Double>.plus(other: StructureND<Double>): DoubleTensor {
-        val broadcast = broadcastTensors(tensor, other.tensor)
+    override fun StructureND<Double>.plus(arg: StructureND<Double>): DoubleTensor {
+        val broadcast = broadcastTensors(tensor, arg.tensor)
         val newThis = broadcast[0]
         val newOther = broadcast[1]
         val resBuffer = DoubleArray(newThis.indices.linearSize) { i ->
@@ -29,16 +29,16 @@ public object BroadcastDoubleTensorAlgebra : DoubleTensorAlgebra() {
         return DoubleTensor(newThis.shape, resBuffer)
     }
 
-    override fun Tensor<Double>.plusAssign(other: StructureND<Double>) {
-        val newOther = broadcastTo(other.tensor, tensor.shape)
+    override fun Tensor<Double>.plusAssign(arg: StructureND<Double>) {
+        val newOther = broadcastTo(arg.tensor, tensor.shape)
         for (i in 0 until tensor.indices.linearSize) {
             tensor.mutableBuffer.array()[tensor.bufferStart + i] +=
                 newOther.mutableBuffer.array()[tensor.bufferStart + i]
         }
     }
 
-    override fun StructureND<Double>.minus(other: StructureND<Double>): DoubleTensor {
-        val broadcast = broadcastTensors(tensor, other.tensor)
+    override fun StructureND<Double>.minus(arg: StructureND<Double>): DoubleTensor {
+        val broadcast = broadcastTensors(tensor, arg.tensor)
         val newThis = broadcast[0]
         val newOther = broadcast[1]
         val resBuffer = DoubleArray(newThis.indices.linearSize) { i ->
@@ -47,16 +47,16 @@ public object BroadcastDoubleTensorAlgebra : DoubleTensorAlgebra() {
         return DoubleTensor(newThis.shape, resBuffer)
     }
 
-    override fun Tensor<Double>.minusAssign(other: StructureND<Double>) {
-        val newOther = broadcastTo(other.tensor, tensor.shape)
+    override fun Tensor<Double>.minusAssign(arg: StructureND<Double>) {
+        val newOther = broadcastTo(arg.tensor, tensor.shape)
         for (i in 0 until tensor.indices.linearSize) {
             tensor.mutableBuffer.array()[tensor.bufferStart + i] -=
                 newOther.mutableBuffer.array()[tensor.bufferStart + i]
         }
     }
 
-    override fun StructureND<Double>.times(other: StructureND<Double>): DoubleTensor {
-        val broadcast = broadcastTensors(tensor, other.tensor)
+    override fun StructureND<Double>.times(arg: StructureND<Double>): DoubleTensor {
+        val broadcast = broadcastTensors(tensor, arg.tensor)
         val newThis = broadcast[0]
         val newOther = broadcast[1]
         val resBuffer = DoubleArray(newThis.indices.linearSize) { i ->
@@ -66,8 +66,8 @@ public object BroadcastDoubleTensorAlgebra : DoubleTensorAlgebra() {
         return DoubleTensor(newThis.shape, resBuffer)
     }
 
-    override fun Tensor<Double>.timesAssign(other: StructureND<Double>) {
-        val newOther = broadcastTo(other.tensor, tensor.shape)
+    override fun Tensor<Double>.timesAssign(arg: StructureND<Double>) {
+        val newOther = broadcastTo(arg.tensor, tensor.shape)
         for (i in 0 until tensor.indices.linearSize) {
             tensor.mutableBuffer.array()[tensor.bufferStart + i] *=
                 newOther.mutableBuffer.array()[tensor.bufferStart + i]
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BufferedTensor.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BufferedTensor.kt
index ba3331067..eab4d3d5b 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BufferedTensor.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BufferedTensor.kt
@@ -23,8 +23,7 @@ public open class BufferedTensor<T> internal constructor(
     /**
      * Buffer strides based on [TensorLinearStructure] implementation
      */
-    public val indices: Strides
-        get() = TensorLinearStructure(shape)
+    override val indices: Strides get() = TensorLinearStructure(shape)
 
     /**
      * Number of elements in tensor
@@ -39,7 +38,7 @@ public open class BufferedTensor<T> internal constructor(
     }
 
     @PerformancePitfall
-    override fun elements(): Sequence<Pair<IntArray, T>> = indices.indices().map {
+    override fun elements(): Sequence<Pair<IntArray, T>> = indices.asSequence().map {
         it to get(it)
     }
 }
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
index be87f8019..8b6f6403f 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
@@ -112,7 +112,7 @@ public open class DoubleTensorAlgebra :
      */
     override fun structureND(shape: IntArray, initializer: DoubleField.(IntArray) -> Double): DoubleTensor = fromArray(
         shape,
-        TensorLinearStructure(shape).indices().map { DoubleField.initializer(it) }.toMutableList().toDoubleArray()
+        TensorLinearStructure(shape).asSequence().map { DoubleField.initializer(it) }.toMutableList().toDoubleArray()
     )
 
     override operator fun StructureND<Double>.get(i: Int): DoubleTensor {
@@ -201,19 +201,19 @@ public open class DoubleTensorAlgebra :
     public fun StructureND<Double>.copy(): DoubleTensor =
         DoubleTensor(tensor.shape, tensor.mutableBuffer.array().copyOf(), tensor.bufferStart)
 
-    override fun Double.plus(other: StructureND<Double>): DoubleTensor {
-        val resBuffer = DoubleArray(other.tensor.numElements) { i ->
-            other.tensor.mutableBuffer.array()[other.tensor.bufferStart + i] + this
+    override fun Double.plus(arg: StructureND<Double>): DoubleTensor {
+        val resBuffer = DoubleArray(arg.tensor.numElements) { i ->
+            arg.tensor.mutableBuffer.array()[arg.tensor.bufferStart + i] + this
         }
-        return DoubleTensor(other.shape, resBuffer)
+        return DoubleTensor(arg.shape, resBuffer)
     }
 
     override fun StructureND<Double>.plus(arg: Double): DoubleTensor = arg + tensor
 
-    override fun StructureND<Double>.plus(other: StructureND<Double>): DoubleTensor {
-        checkShapesCompatible(tensor, other.tensor)
+    override fun StructureND<Double>.plus(arg: StructureND<Double>): DoubleTensor {
+        checkShapesCompatible(tensor, arg.tensor)
         val resBuffer = DoubleArray(tensor.numElements) { i ->
-            tensor.mutableBuffer.array()[i] + other.tensor.mutableBuffer.array()[i]
+            tensor.mutableBuffer.array()[i] + arg.tensor.mutableBuffer.array()[i]
         }
         return DoubleTensor(tensor.shape, resBuffer)
     }
@@ -224,19 +224,19 @@ public open class DoubleTensorAlgebra :
         }
     }
 
-    override fun Tensor<Double>.plusAssign(other: StructureND<Double>) {
-        checkShapesCompatible(tensor, other.tensor)
+    override fun Tensor<Double>.plusAssign(arg: StructureND<Double>) {
+        checkShapesCompatible(tensor, arg.tensor)
         for (i in 0 until tensor.numElements) {
             tensor.mutableBuffer.array()[tensor.bufferStart + i] +=
-                other.tensor.mutableBuffer.array()[tensor.bufferStart + i]
+                arg.tensor.mutableBuffer.array()[tensor.bufferStart + i]
         }
     }
 
-    override fun Double.minus(other: StructureND<Double>): DoubleTensor {
-        val resBuffer = DoubleArray(other.tensor.numElements) { i ->
-            this - other.tensor.mutableBuffer.array()[other.tensor.bufferStart + i]
+    override fun Double.minus(arg: StructureND<Double>): DoubleTensor {
+        val resBuffer = DoubleArray(arg.tensor.numElements) { i ->
+            this - arg.tensor.mutableBuffer.array()[arg.tensor.bufferStart + i]
         }
-        return DoubleTensor(other.shape, resBuffer)
+        return DoubleTensor(arg.shape, resBuffer)
     }
 
     override fun StructureND<Double>.minus(arg: Double): DoubleTensor {
@@ -246,10 +246,10 @@ public open class DoubleTensorAlgebra :
         return DoubleTensor(tensor.shape, resBuffer)
     }
 
-    override fun StructureND<Double>.minus(other: StructureND<Double>): DoubleTensor {
-        checkShapesCompatible(tensor, other)
+    override fun StructureND<Double>.minus(arg: StructureND<Double>): DoubleTensor {
+        checkShapesCompatible(tensor, arg)
         val resBuffer = DoubleArray(tensor.numElements) { i ->
-            tensor.mutableBuffer.array()[i] - other.tensor.mutableBuffer.array()[i]
+            tensor.mutableBuffer.array()[i] - arg.tensor.mutableBuffer.array()[i]
         }
         return DoubleTensor(tensor.shape, resBuffer)
     }
@@ -260,11 +260,11 @@ public open class DoubleTensorAlgebra :
         }
     }
 
-    override fun Tensor<Double>.minusAssign(other: StructureND<Double>) {
-        checkShapesCompatible(tensor, other)
+    override fun Tensor<Double>.minusAssign(arg: StructureND<Double>) {
+        checkShapesCompatible(tensor, arg)
         for (i in 0 until tensor.numElements) {
             tensor.mutableBuffer.array()[tensor.bufferStart + i] -=
-                other.tensor.mutableBuffer.array()[tensor.bufferStart + i]
+                arg.tensor.mutableBuffer.array()[tensor.bufferStart + i]
         }
     }
 
@@ -277,11 +277,11 @@ public open class DoubleTensorAlgebra :
 
     override fun StructureND<Double>.times(arg: Double): DoubleTensor = arg * tensor
 
-    override fun StructureND<Double>.times(other: StructureND<Double>): DoubleTensor {
-        checkShapesCompatible(tensor, other)
+    override fun StructureND<Double>.times(arg: StructureND<Double>): DoubleTensor {
+        checkShapesCompatible(tensor, arg)
         val resBuffer = DoubleArray(tensor.numElements) { i ->
             tensor.mutableBuffer.array()[tensor.bufferStart + i] *
-                    other.tensor.mutableBuffer.array()[other.tensor.bufferStart + i]
+                    arg.tensor.mutableBuffer.array()[arg.tensor.bufferStart + i]
         }
         return DoubleTensor(tensor.shape, resBuffer)
     }
@@ -292,11 +292,11 @@ public open class DoubleTensorAlgebra :
         }
     }
 
-    override fun Tensor<Double>.timesAssign(other: StructureND<Double>) {
-        checkShapesCompatible(tensor, other)
+    override fun Tensor<Double>.timesAssign(arg: StructureND<Double>) {
+        checkShapesCompatible(tensor, arg)
         for (i in 0 until tensor.numElements) {
             tensor.mutableBuffer.array()[tensor.bufferStart + i] *=
-                other.tensor.mutableBuffer.array()[tensor.bufferStart + i]
+                arg.tensor.mutableBuffer.array()[tensor.bufferStart + i]
         }
     }
 
@@ -368,12 +368,12 @@ public open class DoubleTensorAlgebra :
         return resTensor
     }
 
-    override fun StructureND<Double>.view(shape: IntArray): DoubleTensor {
+    override fun Tensor<Double>.view(shape: IntArray): DoubleTensor {
         checkView(tensor, shape)
         return DoubleTensor(shape, tensor.mutableBuffer.array(), tensor.bufferStart)
     }
 
-    override fun StructureND<Double>.viewAs(other: StructureND<Double>): DoubleTensor =
+    override fun Tensor<Double>.viewAs(other: StructureND<Double>): DoubleTensor =
         tensor.view(other.shape)
 
     override infix fun StructureND<Double>.dot(other: StructureND<Double>): DoubleTensor {
@@ -584,7 +584,7 @@ public open class DoubleTensorAlgebra :
         }
         val resNumElements = resShape.reduce(Int::times)
         val resTensor = DoubleTensor(resShape, DoubleArray(resNumElements) { 0.0 }, 0)
-        for (index in resTensor.indices.indices()) {
+        for (index in resTensor.indices.asSequence()) {
             val prefix = index.take(dim).toIntArray()
             val suffix = index.takeLast(dimension - dim - 1).toIntArray()
             resTensor[index] = foldFunction(DoubleArray(shape[dim]) { i ->
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/tensorCastsUtils.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/tensorCastsUtils.kt
index 4123ff923..d3d327f66 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/tensorCastsUtils.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/tensorCastsUtils.kt
@@ -22,7 +22,7 @@ internal fun BufferedTensor<Double>.asTensor(): DoubleTensor =
 internal fun <T> StructureND<T>.copyToBufferedTensor(): BufferedTensor<T> =
     BufferedTensor(
         this.shape,
-        TensorLinearStructure(this.shape).indices().map(this::get).toMutableList().asMutableBuffer(), 0
+        TensorLinearStructure(this.shape).asSequence().map(this::get).toMutableList().asMutableBuffer(), 0
     )
 
 internal fun <T> StructureND<T>.toBufferedTensor(): BufferedTensor<T> = when (this) {
diff --git a/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorFieldOpsND.kt b/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorFieldOpsND.kt
index aaa113e56..c50404c9c 100644
--- a/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorFieldOpsND.kt
+++ b/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorFieldOpsND.kt
@@ -28,7 +28,7 @@ public open class ViktorFieldOpsND :
 
     override fun structureND(shape: IntArray, initializer: DoubleField.(IntArray) -> Double): ViktorStructureND =
         F64Array(*shape).apply {
-            DefaultStrides(shape).indices().forEach { index ->
+            DefaultStrides(shape).asSequence().forEach { index ->
                 set(value = DoubleField.initializer(index), indices = index)
             }
         }.asStructure()
@@ -37,7 +37,7 @@ public open class ViktorFieldOpsND :
 
     override fun StructureND<Double>.map(transform: DoubleField.(Double) -> Double): ViktorStructureND =
         F64Array(*shape).apply {
-            DefaultStrides(shape).indices().forEach { index ->
+            DefaultStrides(shape).asSequence().forEach { index ->
                 set(value = DoubleField.transform(this@map[index]), indices = index)
             }
         }.asStructure()
@@ -45,7 +45,7 @@ public open class ViktorFieldOpsND :
     override fun StructureND<Double>.mapIndexed(
         transform: DoubleField.(index: IntArray, Double) -> Double,
     ): ViktorStructureND = F64Array(*shape).apply {
-        DefaultStrides(shape).indices().forEach { index ->
+        DefaultStrides(shape).asSequence().forEach { index ->
             set(value = DoubleField.transform(index, this@mapIndexed[index]), indices = index)
         }
     }.asStructure()
@@ -57,7 +57,7 @@ public open class ViktorFieldOpsND :
     ): ViktorStructureND {
         require(left.shape.contentEquals(right.shape))
         return F64Array(*left.shape).apply {
-            DefaultStrides(left.shape).indices().forEach { index ->
+            DefaultStrides(left.shape).asSequence().forEach { index ->
                 set(value = DoubleField.transform(left[index], right[index]), indices = index)
             }
         }.asStructure()
@@ -69,11 +69,11 @@ public open class ViktorFieldOpsND :
     override fun scale(a: StructureND<Double>, value: Double): ViktorStructureND =
         (a.f64Buffer * value).asStructure()
 
-    override fun StructureND<Double>.plus(other: StructureND<Double>): ViktorStructureND =
-        (f64Buffer + other.f64Buffer).asStructure()
+    override fun StructureND<Double>.plus(arg: StructureND<Double>): ViktorStructureND =
+        (f64Buffer + arg.f64Buffer).asStructure()
 
-    override fun StructureND<Double>.minus(other: StructureND<Double>): ViktorStructureND =
-        (f64Buffer - other.f64Buffer).asStructure()
+    override fun StructureND<Double>.minus(arg: StructureND<Double>): ViktorStructureND =
+        (f64Buffer - arg.f64Buffer).asStructure()
 
     override fun StructureND<Double>.times(k: Number): ViktorStructureND =
         (f64Buffer * k.toDouble()).asStructure()
diff --git a/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorStructureND.kt b/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorStructureND.kt
index 0d29983f9..4926652ed 100644
--- a/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorStructureND.kt
+++ b/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorStructureND.kt
@@ -22,7 +22,7 @@ public class ViktorStructureND(public val f64Buffer: F64Array) : MutableStructur
 
     @PerformancePitfall
     override fun elements(): Sequence<Pair<IntArray, Double>> =
-        DefaultStrides(shape).indices().map { it to get(it) }
+        DefaultStrides(shape).asSequence().map { it to get(it) }
 }
 
 public fun F64Array.asStructure(): ViktorStructureND = ViktorStructureND(this)

From 46e7da9ae00ae6470201624583adc47e2187a840 Mon Sep 17 00:00:00 2001
From: Alexander Nozik <altavir@gmail.com>
Date: Thu, 28 Oct 2021 11:18:16 +0300
Subject: [PATCH 12/44] Tensor algebra generified

---
 .../space/kscience/kmath/nd/DoubleFieldND.kt  |  8 ++---
 .../kscience/kmath/operations/Algebra.kt      |  4 +--
 .../kmath/operations/DoubleBufferOps.kt       | 14 ++++----
 .../kscience/kmath/operations/numbers.kt      | 36 +++++++++----------
 .../kscience/kmath/jafama/KMathJafama.kt      | 12 +++----
 .../kmath/multik/MultikTensorAlgebra.kt       |  6 ++--
 .../kscience/kmath/nd4j/Nd4jTensorAlgebra.kt  |  4 +--
 .../api/TensorPartialDivisionAlgebra.kt       |  6 ++--
 .../core/BroadcastDoubleTensorAlgebra.kt      |  8 ++---
 .../kmath/tensors/core/DoubleTensorAlgebra.kt | 14 ++++----
 10 files changed, 56 insertions(+), 56 deletions(-)

diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/DoubleFieldND.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/DoubleFieldND.kt
index 8cc5472a9..7285fdb24 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/DoubleFieldND.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/DoubleFieldND.kt
@@ -81,8 +81,8 @@ public sealed class DoubleFieldOpsND : BufferedFieldOpsND<Double, DoubleField>(D
 
     override fun StructureND<Double>.unaryMinus(): DoubleBufferND = mapInline(toBufferND()) { -it }
 
-    override fun StructureND<Double>.div(other: StructureND<Double>): DoubleBufferND =
-        zipInline(toBufferND(), other.toBufferND()) { l, r -> l / r }
+    override fun StructureND<Double>.div(arg: StructureND<Double>): DoubleBufferND =
+        zipInline(toBufferND(), arg.toBufferND()) { l, r -> l / r }
 
     override fun divide(left: StructureND<Double>, right: StructureND<Double>): DoubleBufferND =
         zipInline(left.toBufferND(), right.toBufferND()) { l: Double, r: Double -> l / r }
@@ -101,8 +101,8 @@ public sealed class DoubleFieldOpsND : BufferedFieldOpsND<Double, DoubleField>(D
     override fun StructureND<Double>.minus(arg: StructureND<Double>): DoubleBufferND =
         zipInline(toBufferND(), arg.toBufferND()) { l: Double, r: Double -> l - r }
 
-    override fun StructureND<Double>.times(other: StructureND<Double>): DoubleBufferND =
-        zipInline(toBufferND(), other.toBufferND()) { l: Double, r: Double -> l * r }
+    override fun StructureND<Double>.times(arg: StructureND<Double>): DoubleBufferND =
+        zipInline(toBufferND(), arg.toBufferND()) { l: Double, r: Double -> l * r }
 
     override fun StructureND<Double>.times(k: Number): DoubleBufferND =
         mapInline(toBufferND()) { it * k.toDouble() }
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/Algebra.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/Algebra.kt
index c6af75237..0e5c6de1f 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/Algebra.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/Algebra.kt
@@ -270,10 +270,10 @@ public interface FieldOps<T> : RingOps<T> {
      * Division of two elements.
      *
      * @receiver the dividend.
-     * @param other the divisor.
+     * @param arg the divisor.
      * @return the quotient.
      */
-    public operator fun T.div(other: T): T = divide(this, other)
+    public operator fun T.div(arg: T): T = divide(this, arg)
 
     override fun binaryOperationFunction(operation: String): (left: T, right: T) -> T = when (operation) {
         DIV_OPERATION -> ::divide
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/DoubleBufferOps.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/DoubleBufferOps.kt
index 29b25aae8..3d51b3d32 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/DoubleBufferOps.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/DoubleBufferOps.kt
@@ -34,18 +34,18 @@ public abstract class DoubleBufferOps : ExtendedFieldOps<Buffer<Double>>, Norm<B
         } else DoubleBuffer(DoubleArray(left.size) { left[it] + right[it] })
     }
 
-    override fun Buffer<Double>.plus(other: Buffer<Double>): DoubleBuffer = add(this, other)
+    override fun Buffer<Double>.plus(arg: Buffer<Double>): DoubleBuffer = add(this, arg)
 
-    override fun Buffer<Double>.minus(other: Buffer<Double>): DoubleBuffer {
-        require(other.size == this.size) {
-            "The size of the first buffer ${this.size} should be the same as for second one: ${other.size} "
+    override fun Buffer<Double>.minus(arg: Buffer<Double>): DoubleBuffer {
+        require(arg.size == this.size) {
+            "The size of the first buffer ${this.size} should be the same as for second one: ${arg.size} "
         }
 
-        return if (this is DoubleBuffer && other is DoubleBuffer) {
+        return if (this is DoubleBuffer && arg is DoubleBuffer) {
             val aArray = this.array
-            val bArray = other.array
+            val bArray = arg.array
             DoubleBuffer(DoubleArray(this.size) { aArray[it] - bArray[it] })
-        } else DoubleBuffer(DoubleArray(this.size) { this[it] - other[it] })
+        } else DoubleBuffer(DoubleArray(this.size) { this[it] - arg[it] })
     }
 
     //
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/numbers.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/numbers.kt
index 0b111349c..ceb85f3ab 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/numbers.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/numbers.kt
@@ -102,10 +102,10 @@ public object DoubleField : ExtendedField<Double>, Norm<Double, Double>, ScaleOp
     override inline fun norm(arg: Double): Double = abs(arg)
 
     override inline fun Double.unaryMinus(): Double = -this
-    override inline fun Double.plus(other: Double): Double = this + other
-    override inline fun Double.minus(other: Double): Double = this - other
-    override inline fun Double.times(other: Double): Double = this * other
-    override inline fun Double.div(other: Double): Double = this / other
+    override inline fun Double.plus(arg: Double): Double = this + arg
+    override inline fun Double.minus(arg: Double): Double = this - arg
+    override inline fun Double.times(arg: Double): Double = this * arg
+    override inline fun Double.div(arg: Double): Double = this / arg
 }
 
 public val Double.Companion.algebra: DoubleField get() = DoubleField
@@ -155,10 +155,10 @@ public object FloatField : ExtendedField<Float>, Norm<Float, Float> {
     override inline fun norm(arg: Float): Float = abs(arg)
 
     override inline fun Float.unaryMinus(): Float = -this
-    override inline fun Float.plus(other: Float): Float = this + other
-    override inline fun Float.minus(other: Float): Float = this - other
-    override inline fun Float.times(other: Float): Float = this * other
-    override inline fun Float.div(other: Float): Float = this / other
+    override inline fun Float.plus(arg: Float): Float = this + arg
+    override inline fun Float.minus(arg: Float): Float = this - arg
+    override inline fun Float.times(arg: Float): Float = this * arg
+    override inline fun Float.div(arg: Float): Float = this / arg
 }
 
 public val Float.Companion.algebra: FloatField get() = FloatField
@@ -180,9 +180,9 @@ public object IntRing : Ring<Int>, Norm<Int, Int>, NumericAlgebra<Int> {
     override inline fun norm(arg: Int): Int = abs(arg)
 
     override inline fun Int.unaryMinus(): Int = -this
-    override inline fun Int.plus(other: Int): Int = this + other
-    override inline fun Int.minus(other: Int): Int = this - other
-    override inline fun Int.times(other: Int): Int = this * other
+    override inline fun Int.plus(arg: Int): Int = this + arg
+    override inline fun Int.minus(arg: Int): Int = this - arg
+    override inline fun Int.times(arg: Int): Int = this * arg
 }
 
 public val Int.Companion.algebra: IntRing get() = IntRing
@@ -204,9 +204,9 @@ public object ShortRing : Ring<Short>, Norm<Short, Short>, NumericAlgebra<Short>
     override fun norm(arg: Short): Short = if (arg > 0) arg else (-arg).toShort()
 
     override inline fun Short.unaryMinus(): Short = (-this).toShort()
-    override inline fun Short.plus(other: Short): Short = (this + other).toShort()
-    override inline fun Short.minus(other: Short): Short = (this - other).toShort()
-    override inline fun Short.times(other: Short): Short = (this * other).toShort()
+    override inline fun Short.plus(arg: Short): Short = (this + arg).toShort()
+    override inline fun Short.minus(arg: Short): Short = (this - arg).toShort()
+    override inline fun Short.times(arg: Short): Short = (this * arg).toShort()
 }
 
 public val Short.Companion.algebra: ShortRing get() = ShortRing
@@ -230,7 +230,7 @@ public object ByteRing : Ring<Byte>, Norm<Byte, Byte>, NumericAlgebra<Byte> {
     override inline fun Byte.unaryMinus(): Byte = (-this).toByte()
     override inline fun Byte.plus(arg: Byte): Byte = (this + arg).toByte()
     override inline fun Byte.minus(arg: Byte): Byte = (this - arg).toByte()
-    override inline fun Byte.times(other: Byte): Byte = (this * other).toByte()
+    override inline fun Byte.times(arg: Byte): Byte = (this * arg).toByte()
 }
 
 public val Byte.Companion.algebra: ByteRing get() = ByteRing
@@ -252,9 +252,9 @@ public object LongRing : Ring<Long>, Norm<Long, Long>, NumericAlgebra<Long> {
     override fun norm(arg: Long): Long = abs(arg)
 
     override inline fun Long.unaryMinus(): Long = (-this)
-    override inline fun Long.plus(other: Long): Long = (this + other)
-    override inline fun Long.minus(other: Long): Long = (this - other)
-    override inline fun Long.times(other: Long): Long = (this * other)
+    override inline fun Long.plus(arg: Long): Long = (this + arg)
+    override inline fun Long.minus(arg: Long): Long = (this - arg)
+    override inline fun Long.times(arg: Long): Long = (this * arg)
 }
 
 public val Long.Companion.algebra: LongRing get() = LongRing
diff --git a/kmath-jafama/src/main/kotlin/space/kscience/kmath/jafama/KMathJafama.kt b/kmath-jafama/src/main/kotlin/space/kscience/kmath/jafama/KMathJafama.kt
index 9ff7ffc9c..64a935705 100644
--- a/kmath-jafama/src/main/kotlin/space/kscience/kmath/jafama/KMathJafama.kt
+++ b/kmath-jafama/src/main/kotlin/space/kscience/kmath/jafama/KMathJafama.kt
@@ -59,8 +59,8 @@ public object JafamaDoubleField : ExtendedField<Double>, Norm<Double, Double>, S
     override inline fun Double.unaryMinus(): Double = -this
     override inline fun Double.plus(arg: Double): Double = this + arg
     override inline fun Double.minus(arg: Double): Double = this - arg
-    override inline fun Double.times(other: Double): Double = this * other
-    override inline fun Double.div(other: Double): Double = this / other
+    override inline fun Double.times(arg: Double): Double = this * arg
+    override inline fun Double.div(arg: Double): Double = this / arg
 }
 
 /**
@@ -108,8 +108,8 @@ public object StrictJafamaDoubleField : ExtendedField<Double>, Norm<Double, Doub
     override inline fun norm(arg: Double): Double = StrictFastMath.abs(arg)
 
     override inline fun Double.unaryMinus(): Double = -this
-    override inline fun Double.plus(other: Double): Double = this + other
-    override inline fun Double.minus(other: Double): Double = this - other
-    override inline fun Double.times(other: Double): Double = this * other
-    override inline fun Double.div(other: Double): Double = this / other
+    override inline fun Double.plus(arg: Double): Double = this + arg
+    override inline fun Double.minus(arg: Double): Double = this - arg
+    override inline fun Double.times(arg: Double): Double = this * arg
+    override inline fun Double.div(arg: Double): Double = this / arg
 }
diff --git a/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt b/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
index 02959d4fb..c8fc23a2c 100644
--- a/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
+++ b/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
@@ -294,11 +294,11 @@ public abstract class MultikDivisionTensorAlgebra<T, A : Field<T>>
         }
     }
 
-    override fun Tensor<T>.divAssign(other: StructureND<T>) {
+    override fun Tensor<T>.divAssign(arg: StructureND<T>) {
         if (this is MultikTensor) {
-            array.divAssign(other.asMultik().array)
+            array.divAssign(arg.asMultik().array)
         } else {
-            mapInPlace { index, t -> elementAlgebra.divide(t, other[index]) }
+            mapInPlace { index, t -> elementAlgebra.divide(t, arg[index]) }
         }
     }
 }
diff --git a/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jTensorAlgebra.kt b/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jTensorAlgebra.kt
index 33765b40a..a537c0629 100644
--- a/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jTensorAlgebra.kt
+++ b/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jTensorAlgebra.kt
@@ -148,8 +148,8 @@ public sealed interface Nd4jTensorAlgebra<T : Number, A : Field<T>> : AnalyticTe
         ndArray.divi(value)
     }
 
-    override fun Tensor<T>.divAssign(other: StructureND<T>) {
-        ndArray.divi(other.ndArray)
+    override fun Tensor<T>.divAssign(arg: StructureND<T>) {
+        ndArray.divi(arg.ndArray)
     }
 
     override fun StructureND<T>.variance(dim: Int, keepDim: Boolean): Nd4jArrayStructure<T> =
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorPartialDivisionAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorPartialDivisionAlgebra.kt
index 304cc66cc..0a1e09081 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorPartialDivisionAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorPartialDivisionAlgebra.kt
@@ -53,9 +53,9 @@ public interface TensorPartialDivisionAlgebra<T, A : Field<T>> : TensorAlgebra<T
     public operator fun Tensor<T>.divAssign(value: T)
 
     /**
-     * Each element of this tensor is divided by each element of the [other] tensor.
+     * Each element of this tensor is divided by each element of the [arg] tensor.
      *
-     * @param other tensor to be divided by.
+     * @param arg tensor to be divided by.
      */
-    public operator fun Tensor<T>.divAssign(other: StructureND<T>)
+    public operator fun Tensor<T>.divAssign(arg: StructureND<T>)
 }
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BroadcastDoubleTensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BroadcastDoubleTensorAlgebra.kt
index 83d1f7b35..7353ecab1 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BroadcastDoubleTensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BroadcastDoubleTensorAlgebra.kt
@@ -74,8 +74,8 @@ public object BroadcastDoubleTensorAlgebra : DoubleTensorAlgebra() {
         }
     }
 
-    override fun StructureND<Double>.div(other: StructureND<Double>): DoubleTensor {
-        val broadcast = broadcastTensors(tensor, other.tensor)
+    override fun StructureND<Double>.div(arg: StructureND<Double>): DoubleTensor {
+        val broadcast = broadcastTensors(tensor, arg.tensor)
         val newThis = broadcast[0]
         val newOther = broadcast[1]
         val resBuffer = DoubleArray(newThis.indices.linearSize) { i ->
@@ -85,8 +85,8 @@ public object BroadcastDoubleTensorAlgebra : DoubleTensorAlgebra() {
         return DoubleTensor(newThis.shape, resBuffer)
     }
 
-    override fun Tensor<Double>.divAssign(other: StructureND<Double>) {
-        val newOther = broadcastTo(other.tensor, tensor.shape)
+    override fun Tensor<Double>.divAssign(arg: StructureND<Double>) {
+        val newOther = broadcastTo(arg.tensor, tensor.shape)
         for (i in 0 until tensor.indices.linearSize) {
             tensor.mutableBuffer.array()[tensor.bufferStart + i] /=
                 newOther.mutableBuffer.array()[tensor.bufferStart + i]
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
index 8b6f6403f..d7aa18c3d 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
@@ -314,11 +314,11 @@ public open class DoubleTensorAlgebra :
         return DoubleTensor(shape, resBuffer)
     }
 
-    override fun StructureND<Double>.div(other: StructureND<Double>): DoubleTensor {
-        checkShapesCompatible(tensor, other)
+    override fun StructureND<Double>.div(arg: StructureND<Double>): DoubleTensor {
+        checkShapesCompatible(tensor, arg)
         val resBuffer = DoubleArray(tensor.numElements) { i ->
-            tensor.mutableBuffer.array()[other.tensor.bufferStart + i] /
-                    other.tensor.mutableBuffer.array()[other.tensor.bufferStart + i]
+            tensor.mutableBuffer.array()[arg.tensor.bufferStart + i] /
+                    arg.tensor.mutableBuffer.array()[arg.tensor.bufferStart + i]
         }
         return DoubleTensor(tensor.shape, resBuffer)
     }
@@ -329,11 +329,11 @@ public open class DoubleTensorAlgebra :
         }
     }
 
-    override fun Tensor<Double>.divAssign(other: StructureND<Double>) {
-        checkShapesCompatible(tensor, other)
+    override fun Tensor<Double>.divAssign(arg: StructureND<Double>) {
+        checkShapesCompatible(tensor, arg)
         for (i in 0 until tensor.numElements) {
             tensor.mutableBuffer.array()[tensor.bufferStart + i] /=
-                other.tensor.mutableBuffer.array()[tensor.bufferStart + i]
+                arg.tensor.mutableBuffer.array()[tensor.bufferStart + i]
         }
     }
 

From db06d10cc28a12bf7529375939878c53cdeb96c2 Mon Sep 17 00:00:00 2001
From: Roland Grinis <roland.grinis@grinisrit.com>
Date: Thu, 28 Oct 2021 19:25:10 +0100
Subject: [PATCH 13/44] dot fixed for tensorflow

---
 .../space/kscience/kmath/tensorflow/TensorFlowAlgebra.kt      | 4 +++-
 .../kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt  | 2 +-
 2 files changed, 4 insertions(+), 2 deletions(-)

diff --git a/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/TensorFlowAlgebra.kt b/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/TensorFlowAlgebra.kt
index e73620d01..90485a9ad 100644
--- a/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/TensorFlowAlgebra.kt
+++ b/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/TensorFlowAlgebra.kt
@@ -180,7 +180,9 @@ public abstract class TensorFlowAlgebra<T, TT : TType, A: Ring<T>> internal cons
     }
 
     override fun StructureND<T>.dot(other: StructureND<T>): TensorFlowOutput<T, TT> = biOp(other) { l, r ->
-        ops.linalg.matMul(l, r)
+        ops.linalg.matMul(
+            if (l.asTensor().shape().numDimensions() == 1) ops.expandDims(l,ops.constant(0)) else l,
+            if (r.asTensor().shape().numDimensions() == 1) ops.expandDims(r,ops.constant(-1)) else r)
     }
 
     override fun diagonalEmbedding(diagonalEntries: Tensor<T>, offset: Int, dim1: Int, dim2: Int): Tensor<T> = ops.run {
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt
index 8c445cf2d..672e37b98 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt
@@ -208,7 +208,7 @@ public interface TensorAlgebra<T, A : Ring<T>> : RingOpsND<T, A> {
      *
      * 3. If the first argument is 1-dimensional and the second argument is 2-dimensional,
      * a 1 is prepended to its dimension for the purpose of the matrix multiply.
-     * After the matrix multiply, the prepended dimension is removed.
+     * After the matrix multiply, depending on the implementation the prepended dimension might be removed.
      *
      * 4. If the first argument is 2-dimensional and the second argument is 1-dimensional,
      * the matrix-vector product is returned.

From b65197f577d0d0dbebd3d8dc1f8b14797bf346f9 Mon Sep 17 00:00:00 2001
From: Alexander Nozik <altavir@gmail.com>
Date: Mon, 1 Nov 2021 19:45:02 +0300
Subject: [PATCH 14/44] revert parts of tensor api to tensors

---
 .../kscience/kmath/benchmarks/DotBenchmark.kt |  11 ++
 .../space/kscience/kmath/nd/AlgebraND.kt      |   2 +-
 .../space/kscience/kmath/nd/BufferND.kt       |   6 -
 .../kscience/kmath/operations/Algebra.kt      |  10 ++
 .../kmath/multik/MultikDoubleAlgebra.kt       | 136 ++++++++++++++++++
 .../kmath/multik/MultikTensorAlgebra.kt       |  39 +++--
 .../kscience/kmath/nd4j/Nd4jTensorAlgebra.kt  |   4 +-
 .../tensors/api/AnalyticTensorAlgebra.kt      |   6 +-
 .../kmath/tensors/api/TensorAlgebra.kt        |   4 +-
 .../kmath/tensors/core/DoubleTensorAlgebra.kt |   4 +-
 10 files changed, 188 insertions(+), 34 deletions(-)
 create mode 100644 kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikDoubleAlgebra.kt

diff --git a/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/DotBenchmark.kt b/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/DotBenchmark.kt
index 64f9b5dff..9203c269e 100644
--- a/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/DotBenchmark.kt
+++ b/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/DotBenchmark.kt
@@ -13,6 +13,7 @@ import space.kscience.kmath.commons.linear.CMLinearSpace
 import space.kscience.kmath.ejml.EjmlLinearSpaceDDRM
 import space.kscience.kmath.linear.invoke
 import space.kscience.kmath.linear.linearSpace
+import space.kscience.kmath.multik.multikAlgebra
 import space.kscience.kmath.operations.DoubleField
 import space.kscience.kmath.structures.Buffer
 import kotlin.random.Random
@@ -58,6 +59,16 @@ internal class DotBenchmark {
         blackhole.consume(matrix1 dot matrix2)
     }
 
+//    @Benchmark
+//    fun tensorDot(blackhole: Blackhole) = with(Double.tensorAlgebra) {
+//        blackhole.consume(matrix1 dot matrix2)
+//    }
+
+    @Benchmark
+    fun multikDot(blackhole: Blackhole) = with(Double.multikAlgebra) {
+        blackhole.consume(matrix1 dot matrix2)
+    }
+
     @Benchmark
     fun bufferedDot(blackhole: Blackhole) = with(DoubleField.linearSpace(Buffer.Companion::auto)) {
         blackhole.consume(matrix1 dot matrix2)
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/AlgebraND.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/AlgebraND.kt
index 4e52c8ba9..113bd4c52 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/AlgebraND.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/AlgebraND.kt
@@ -35,7 +35,7 @@ public interface WithShape {
  * @param T the type of ND-structure element.
  * @param C the type of the element context.
  */
-public interface AlgebraND<T, out C : Algebra<T>> {
+public interface AlgebraND<T, out C : Algebra<T>>: Algebra<StructureND<T>> {
     /**
      * The algebra over elements of ND structure.
      */
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferND.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferND.kt
index 19924616d..515988159 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferND.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferND.kt
@@ -5,7 +5,6 @@
 
 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
@@ -27,11 +26,6 @@ public open class BufferND<out T>(
 
     override val shape: IntArray get() = indices.shape
 
-    @PerformancePitfall
-    override fun elements(): Sequence<Pair<IntArray, T>> = indices.asSequence().map {
-        it to this[it]
-    }
-
     override fun toString(): String = StructureND.toString(this)
 }
 
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/Algebra.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/Algebra.kt
index 0e5c6de1f..992c0e015 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/Algebra.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/Algebra.kt
@@ -6,6 +6,7 @@
 package space.kscience.kmath.operations
 
 import space.kscience.kmath.expressions.Symbol
+import space.kscience.kmath.misc.UnstableKMathAPI
 
 /**
  * Stub for DSL the [Algebra] is.
@@ -99,6 +100,14 @@ public interface Algebra<T> {
      */
     public fun binaryOperation(operation: String, left: T, right: T): T =
         binaryOperationFunction(operation)(left, right)
+
+    /**
+     * Export an algebra element, so it could be accessed even after algebra scope is closed.
+     * This method must be used on algebras where data is stored externally or any local algebra state is used.
+     * By default (if not overridden), exports the object itself.
+     */
+    @UnstableKMathAPI
+    public fun export(arg: T): T = arg
 }
 
 public fun <T> Algebra<T>.bindSymbolOrNull(symbol: Symbol): T? = bindSymbolOrNull(symbol.identity)
@@ -162,6 +171,7 @@ public interface GroupOps<T> : Algebra<T> {
      * @return the difference.
      */
     public operator fun T.minus(arg: T): T = add(this, -arg)
+
     // Dynamic dispatch of operations
     override fun unaryOperationFunction(operation: String): (arg: T) -> T = when (operation) {
         PLUS_OPERATION -> { arg -> +arg }
diff --git a/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikDoubleAlgebra.kt b/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikDoubleAlgebra.kt
new file mode 100644
index 000000000..e5fef6c1e
--- /dev/null
+++ b/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikDoubleAlgebra.kt
@@ -0,0 +1,136 @@
+package space.kscience.kmath.multik
+
+import org.jetbrains.kotlinx.multik.ndarray.data.DN
+import org.jetbrains.kotlinx.multik.ndarray.data.DataType
+import space.kscience.kmath.nd.StructureND
+import space.kscience.kmath.operations.DoubleField
+import space.kscience.kmath.tensors.api.AnalyticTensorAlgebra
+import space.kscience.kmath.tensors.api.LinearOpsTensorAlgebra
+import space.kscience.kmath.tensors.api.Tensor
+
+public object MultikDoubleAlgebra : MultikDivisionTensorAlgebra<Double, DoubleField>(),
+    AnalyticTensorAlgebra<Double, DoubleField>, LinearOpsTensorAlgebra<Double, DoubleField> {
+    override val elementAlgebra: DoubleField get() = DoubleField
+    override val type: DataType get() = DataType.DoubleDataType
+
+    override fun StructureND<Double>.mean(): Double = multikStat.mean(asMultik().array)
+
+    override fun StructureND<Double>.mean(dim: Int, keepDim: Boolean): Tensor<Double> =
+        multikStat.mean<Double,DN, DN>(asMultik().array, dim).wrap()
+
+    override fun StructureND<Double>.std(): Double {
+        TODO("Not yet implemented")
+    }
+
+    override fun StructureND<Double>.std(dim: Int, keepDim: Boolean): Tensor<Double> {
+        TODO("Not yet implemented")
+    }
+
+    override fun StructureND<Double>.variance(): Double {
+        TODO("Not yet implemented")
+    }
+
+    override fun StructureND<Double>.variance(dim: Int, keepDim: Boolean): Tensor<Double> {
+        TODO("Not yet implemented")
+    }
+
+    override fun StructureND<Double>.exp(): Tensor<Double> {
+        TODO("Not yet implemented")
+    }
+
+    override fun StructureND<Double>.ln(): Tensor<Double> {
+        TODO("Not yet implemented")
+    }
+
+    override fun StructureND<Double>.sqrt(): Tensor<Double> {
+        TODO("Not yet implemented")
+    }
+
+    override fun StructureND<Double>.cos(): Tensor<Double> {
+        TODO("Not yet implemented")
+    }
+
+    override fun StructureND<Double>.acos(): Tensor<Double> {
+        TODO("Not yet implemented")
+    }
+
+    override fun StructureND<Double>.cosh(): Tensor<Double> {
+        TODO("Not yet implemented")
+    }
+
+    override fun StructureND<Double>.acosh(): Tensor<Double> {
+        TODO("Not yet implemented")
+    }
+
+    override fun StructureND<Double>.sin(): Tensor<Double> {
+        TODO("Not yet implemented")
+    }
+
+    override fun StructureND<Double>.asin(): Tensor<Double> {
+        TODO("Not yet implemented")
+    }
+
+    override fun StructureND<Double>.sinh(): Tensor<Double> {
+        TODO("Not yet implemented")
+    }
+
+    override fun StructureND<Double>.asinh(): Tensor<Double> {
+        TODO("Not yet implemented")
+    }
+
+    override fun StructureND<Double>.tan(): Tensor<Double> {
+        TODO("Not yet implemented")
+    }
+
+    override fun StructureND<Double>.atan(): Tensor<Double> {
+        TODO("Not yet implemented")
+    }
+
+    override fun StructureND<Double>.tanh(): Tensor<Double> {
+        TODO("Not yet implemented")
+    }
+
+    override fun StructureND<Double>.atanh(): Tensor<Double> {
+        TODO("Not yet implemented")
+    }
+
+    override fun StructureND<Double>.ceil(): Tensor<Double> {
+        TODO("Not yet implemented")
+    }
+
+    override fun StructureND<Double>.floor(): Tensor<Double> {
+        TODO("Not yet implemented")
+    }
+
+    override fun StructureND<Double>.det(): Tensor<Double> {
+        TODO("Not yet implemented")
+    }
+
+    override fun StructureND<Double>.inv(): Tensor<Double> {
+        TODO("Not yet implemented")
+    }
+
+    override fun StructureND<Double>.cholesky(): Tensor<Double> {
+        TODO("Not yet implemented")
+    }
+
+    override fun StructureND<Double>.qr(): Pair<Tensor<Double>, Tensor<Double>> {
+        TODO("Not yet implemented")
+    }
+
+    override fun StructureND<Double>.lu(): Triple<Tensor<Double>, Tensor<Double>, Tensor<Double>> {
+        TODO("Not yet implemented")
+    }
+
+    override fun StructureND<Double>.svd(): Triple<Tensor<Double>, Tensor<Double>, Tensor<Double>> {
+        TODO("Not yet implemented")
+    }
+
+    override fun StructureND<Double>.symEig(): Pair<Tensor<Double>, Tensor<Double>> {
+        TODO("Not yet implemented")
+    }
+}
+
+public val Double.Companion.multikAlgebra: MultikTensorAlgebra<Double, DoubleField> get() = MultikDoubleAlgebra
+public val DoubleField.multikAlgebra: MultikTensorAlgebra<Double, DoubleField> get() = MultikDoubleAlgebra
+
diff --git a/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt b/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
index c8fc23a2c..e3b940e3c 100644
--- a/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
+++ b/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
@@ -7,11 +7,9 @@
 
 package space.kscience.kmath.multik
 
-import org.jetbrains.kotlinx.multik.api.Multik
-import org.jetbrains.kotlinx.multik.api.linalg.dot
-import org.jetbrains.kotlinx.multik.api.mk
-import org.jetbrains.kotlinx.multik.api.ndarrayOf
-import org.jetbrains.kotlinx.multik.api.zeros
+import org.jetbrains.kotlinx.multik.api.*
+import org.jetbrains.kotlinx.multik.api.linalg.LinAlg
+import org.jetbrains.kotlinx.multik.api.math.Math
 import org.jetbrains.kotlinx.multik.ndarray.data.*
 import org.jetbrains.kotlinx.multik.ndarray.operations.*
 import space.kscience.kmath.misc.PerformancePitfall
@@ -52,10 +50,16 @@ private fun <T, D : Dimension> MultiArray<T, D>.asD2Array(): D2Array<T> {
     else throw ClassCastException("Cannot cast MultiArray to NDArray.")
 }
 
-public abstract class MultikTensorAlgebra<T, A : Ring<T>> : TensorAlgebra<T, A> where T : Number, T : Comparable<T> {
+public abstract class MultikTensorAlgebra<T, A : Ring<T>> : TensorAlgebra<T, A>
+        where T : Number, T : Comparable<T> {
 
     public abstract val type: DataType
 
+    protected val multikMath: Math = mk.math
+    protected val multikLinAl: LinAlg = mk.linalg
+    protected val multikStat: Statistics = mk.stat
+
+
     override fun structureND(shape: Shape, initializer: A.(IntArray) -> T): MultikTensor<T> {
         val strides = DefaultStrides(shape)
         val memoryView = initMemoryView<T>(strides.linearSize, type)
@@ -65,6 +69,7 @@ public abstract class MultikTensorAlgebra<T, A : Ring<T>> : TensorAlgebra<T, A>
         return MultikTensor(NDArray(memoryView, shape = shape, dim = DN(shape.size)))
     }
 
+    @OptIn(PerformancePitfall::class)
     override fun StructureND<T>.map(transform: A.(T) -> T): MultikTensor<T> = if (this is MultikTensor) {
         val data = initMemoryView<T>(array.size, type)
         var count = 0
@@ -76,6 +81,7 @@ public abstract class MultikTensorAlgebra<T, A : Ring<T>> : TensorAlgebra<T, A>
         }
     }
 
+    @OptIn(PerformancePitfall::class)
     override fun StructureND<T>.mapIndexed(transform: A.(index: IntArray, T) -> T): MultikTensor<T> =
         if (this is MultikTensor) {
             val array = asMultik().array
@@ -96,6 +102,7 @@ public abstract class MultikTensorAlgebra<T, A : Ring<T>> : TensorAlgebra<T, A>
             }
         }
 
+    @OptIn(PerformancePitfall::class)
     override fun zip(left: StructureND<T>, right: StructureND<T>, transform: A.(T, T) -> T): MultikTensor<T> {
         require(left.shape.contentEquals(right.shape)) { "ND array shape mismatch" } //TODO replace by ShapeMismatchException
         val leftArray = left.asMultik().array
@@ -208,9 +215,9 @@ public abstract class MultikTensorAlgebra<T, A : Ring<T>> : TensorAlgebra<T, A>
     override fun StructureND<T>.unaryMinus(): MultikTensor<T> =
         asMultik().array.unaryMinus().wrap()
 
-    override fun StructureND<T>.get(i: Int): MultikTensor<T> = asMultik().array.mutableView(i).wrap()
+    override fun Tensor<T>.get(i: Int): MultikTensor<T> = asMultik().array.mutableView(i).wrap()
 
-    override fun StructureND<T>.transpose(i: Int, j: Int): MultikTensor<T> = asMultik().array.transpose(i, j).wrap()
+    override fun Tensor<T>.transpose(i: Int, j: Int): MultikTensor<T> = asMultik().array.transpose(i, j).wrap()
 
     override fun Tensor<T>.view(shape: IntArray): MultikTensor<T> {
         require(shape.all { it > 0 })
@@ -236,12 +243,12 @@ public abstract class MultikTensorAlgebra<T, A : Ring<T>> : TensorAlgebra<T, A>
     override fun StructureND<T>.dot(other: StructureND<T>): MultikTensor<T> =
         if (this.shape.size == 1 && other.shape.size == 1) {
             Multik.ndarrayOf(
-                asMultik().array.asD1Array() dot other.asMultik().array.asD1Array()
-            ).asDNArray().wrap()
+                multikLinAl.linAlgEx.dotVV(asMultik().array.asD1Array(), other.asMultik().array.asD1Array())
+            ).wrap()
         } else if (this.shape.size == 2 && other.shape.size == 2) {
-            (asMultik().array.asD2Array() dot other.asMultik().array.asD2Array()).asDNArray().wrap()
+            multikLinAl.linAlgEx.dotMM(asMultik().array.asD2Array(), other.asMultik().array.asD2Array()).wrap()
         } else if (this.shape.size == 2 && other.shape.size == 1) {
-            (asMultik().array.asD2Array() dot other.asMultik().array.asD1Array()).asDNArray().wrap()
+            multikLinAl.linAlgEx.dotMV(asMultik().array.asD2Array(), other.asMultik().array.asD1Array()).wrap()
         } else {
             TODO("Not implemented for broadcasting")
         }
@@ -303,14 +310,6 @@ public abstract class MultikDivisionTensorAlgebra<T, A : Field<T>>
     }
 }
 
-public object MultikDoubleAlgebra : MultikDivisionTensorAlgebra<Double, DoubleField>() {
-    override val elementAlgebra: DoubleField get() = DoubleField
-    override val type: DataType get() = DataType.DoubleDataType
-}
-
-public val Double.Companion.multikAlgebra: MultikTensorAlgebra<Double, DoubleField> get() = MultikDoubleAlgebra
-public val DoubleField.multikAlgebra: MultikTensorAlgebra<Double, DoubleField> get() = MultikDoubleAlgebra
-
 public object MultikFloatAlgebra : MultikDivisionTensorAlgebra<Float, FloatField>() {
     override val elementAlgebra: FloatField get() = FloatField
     override val type: DataType get() = DataType.FloatDataType
diff --git a/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jTensorAlgebra.kt b/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jTensorAlgebra.kt
index a537c0629..58309736d 100644
--- a/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jTensorAlgebra.kt
+++ b/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jTensorAlgebra.kt
@@ -92,8 +92,8 @@ public sealed interface Nd4jTensorAlgebra<T : Number, A : Field<T>> : AnalyticTe
     }
 
     override fun StructureND<T>.unaryMinus(): Nd4jArrayStructure<T> = ndArray.neg().wrap()
-    override fun StructureND<T>.get(i: Int): Nd4jArrayStructure<T> = ndArray.slice(i.toLong()).wrap()
-    override fun StructureND<T>.transpose(i: Int, j: Int): Nd4jArrayStructure<T> = ndArray.swapAxes(i, j).wrap()
+    override fun Tensor<T>.get(i: Int): Nd4jArrayStructure<T> = ndArray.slice(i.toLong()).wrap()
+    override fun Tensor<T>.transpose(i: Int, j: Int): Nd4jArrayStructure<T> = ndArray.swapAxes(i, j).wrap()
     override fun StructureND<T>.dot(other: StructureND<T>): Nd4jArrayStructure<T> = ndArray.mmul(other.ndArray).wrap()
 
     override fun StructureND<T>.min(dim: Int, keepDim: Boolean): Nd4jArrayStructure<T> =
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/AnalyticTensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/AnalyticTensorAlgebra.kt
index debfb3ef0..c756584a4 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/AnalyticTensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/AnalyticTensorAlgebra.kt
@@ -5,6 +5,7 @@
 
 package space.kscience.kmath.tensors.api
 
+import space.kscience.kmath.misc.UnstableKMathAPI
 import space.kscience.kmath.nd.StructureND
 import space.kscience.kmath.operations.Field
 
@@ -121,4 +122,7 @@ public interface AnalyticTensorAlgebra<T, A : Field<T>> : TensorPartialDivisionA
     //For information: https://pytorch.org/docs/stable/generated/torch.floor.html#torch.floor
     public fun StructureND<T>.floor(): Tensor<T>
 
-}
\ No newline at end of file
+}
+
+@UnstableKMathAPI
+public fun <T, ATA : AnalyticTensorAlgebra<T, *>> ATA.exp(arg: StructureND<T>): Tensor<T> = arg.exp()
\ No newline at end of file
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt
index 8c445cf2d..e12bce209 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt
@@ -166,7 +166,7 @@ public interface TensorAlgebra<T, A : Ring<T>> : RingOpsND<T, A> {
      * @param i index of the extractable tensor
      * @return subtensor of the original tensor with index [i]
      */
-    public operator fun StructureND<T>.get(i: Int): Tensor<T>
+    public operator fun Tensor<T>.get(i: Int): Tensor<T>
 
     /**
      * Returns a tensor that is a transposed version of this tensor. The given dimensions [i] and [j] are swapped.
@@ -176,7 +176,7 @@ public interface TensorAlgebra<T, A : Ring<T>> : RingOpsND<T, A> {
      * @param j the second dimension to be transposed
      * @return transposed tensor
      */
-    public fun StructureND<T>.transpose(i: Int = -2, j: Int = -1): Tensor<T>
+    public fun Tensor<T>.transpose(i: Int = -2, j: Int = -1): Tensor<T>
 
     /**
      * Returns a new tensor with the same data as the self tensor but of a different shape.
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
index d7aa18c3d..35df2df8a 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
@@ -115,7 +115,7 @@ public open class DoubleTensorAlgebra :
         TensorLinearStructure(shape).asSequence().map { DoubleField.initializer(it) }.toMutableList().toDoubleArray()
     )
 
-    override operator fun StructureND<Double>.get(i: Int): DoubleTensor {
+    override operator fun Tensor<Double>.get(i: Int): DoubleTensor {
         val lastShape = tensor.shape.drop(1).toIntArray()
         val newShape = if (lastShape.isNotEmpty()) lastShape else intArrayOf(1)
         val newStart = newShape.reduce(Int::times) * i + tensor.bufferStart
@@ -344,7 +344,7 @@ public open class DoubleTensorAlgebra :
         return DoubleTensor(tensor.shape, resBuffer)
     }
 
-    override fun StructureND<Double>.transpose(i: Int, j: Int): DoubleTensor {
+    override fun Tensor<Double>.transpose(i: Int, j: Int): DoubleTensor {
         val ii = tensor.minusIndex(i)
         val jj = tensor.minusIndex(j)
         checkTranspose(tensor.dimension, ii, jj)

From a994b8a50c7ce737e4c95f8a2e136f233130e5f3 Mon Sep 17 00:00:00 2001
From: Roland Grinis <roland.grinis@grinisrit.com>
Date: Mon, 1 Nov 2021 17:55:10 +0000
Subject: [PATCH 15/44] fix argmax

---
 .../kmath/multik/MultikTensorAlgebra.kt       |  2 +-
 .../kscience/kmath/nd4j/Nd4jTensorAlgebra.kt  |  4 +-
 .../kmath/tensors/api/TensorAlgebra.kt        |  2 +-
 .../kmath/tensors/core/BufferedTensor.kt      |  1 -
 .../kmath/tensors/core/DoubleTensorAlgebra.kt | 33 +++++----
 .../kscience/kmath/tensors/core/IntTensor.kt  |  6 +-
 .../tensors/core/TensorLinearStructure.kt     | 74 +++++++++++++++++++
 .../core/internal/TensorLinearStructure.kt    | 71 ------------------
 .../tensors/core/internal/tensorCastsUtils.kt |  1 +
 9 files changed, 102 insertions(+), 92 deletions(-)
 create mode 100644 kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/TensorLinearStructure.kt
 delete mode 100644 kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/TensorLinearStructure.kt

diff --git a/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt b/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
index e3b940e3c..0c3cf6b14 100644
--- a/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
+++ b/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
@@ -277,7 +277,7 @@ public abstract class MultikTensorAlgebra<T, A : Ring<T>> : TensorAlgebra<T, A>
         TODO("Not yet implemented")
     }
 
-    override fun StructureND<T>.argMax(dim: Int, keepDim: Boolean): Tensor<T> {
+    override fun StructureND<T>.argMax(dim: Int, keepDim: Boolean): Tensor<Int> {
         TODO("Not yet implemented")
     }
 }
diff --git a/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jTensorAlgebra.kt b/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jTensorAlgebra.kt
index 58309736d..d7dd6e71b 100644
--- a/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jTensorAlgebra.kt
+++ b/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jTensorAlgebra.kt
@@ -108,8 +108,8 @@ public sealed interface Nd4jTensorAlgebra<T : Number, A : Field<T>> : AnalyticTe
     override fun Tensor<T>.view(shape: IntArray): Nd4jArrayStructure<T> = ndArray.reshape(shape).wrap()
     override fun Tensor<T>.viewAs(other: StructureND<T>): Nd4jArrayStructure<T> = view(other.shape)
 
-    override fun StructureND<T>.argMax(dim: Int, keepDim: Boolean): Nd4jArrayStructure<T> =
-        ndBase.get().argmax(ndArray, keepDim, dim).wrap()
+    override fun StructureND<T>.argMax(dim: Int, keepDim: Boolean): Tensor<Int> =
+        ndBase.get().argmax(ndArray, keepDim, dim).asIntStructure()
 
     override fun StructureND<T>.mean(dim: Int, keepDim: Boolean): Nd4jArrayStructure<T> =
         ndArray.mean(keepDim, dim).wrap()
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt
index e12bce209..60fc470fb 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt
@@ -324,7 +324,7 @@ public interface TensorAlgebra<T, A : Ring<T>> : RingOpsND<T, A> {
      * @param keepDim whether the output tensor has [dim] retained or not.
      * @return the index of maximum value of each row of the input tensor in the given dimension [dim].
      */
-    public fun StructureND<T>.argMax(dim: Int, keepDim: Boolean): Tensor<T>
+    public fun StructureND<T>.argMax(dim: Int, keepDim: Boolean): Tensor<Int>
 
     override fun add(left: StructureND<T>, right: StructureND<T>): Tensor<T> = left + right
 
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BufferedTensor.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BufferedTensor.kt
index eab4d3d5b..54d8f54dc 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BufferedTensor.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BufferedTensor.kt
@@ -9,7 +9,6 @@ import space.kscience.kmath.misc.PerformancePitfall
 import space.kscience.kmath.nd.Strides
 import space.kscience.kmath.structures.MutableBuffer
 import space.kscience.kmath.tensors.api.Tensor
-import space.kscience.kmath.tensors.core.internal.TensorLinearStructure
 
 /**
  * Represents [Tensor] over a [MutableBuffer] intended to be used through [DoubleTensor] and [IntTensor]
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
index 35df2df8a..5e7ae262f 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
@@ -10,6 +10,7 @@ import space.kscience.kmath.nd.StructureND
 import space.kscience.kmath.nd.as1D
 import space.kscience.kmath.nd.as2D
 import space.kscience.kmath.operations.DoubleField
+import space.kscience.kmath.structures.MutableBuffer
 import space.kscience.kmath.structures.indices
 import space.kscience.kmath.tensors.api.AnalyticTensorAlgebra
 import space.kscience.kmath.tensors.api.LinearOpsTensorAlgebra
@@ -571,11 +572,11 @@ public open class DoubleTensorAlgebra :
     internal inline fun StructureND<Double>.fold(foldFunction: (DoubleArray) -> Double): Double =
         foldFunction(tensor.copyArray())
 
-    internal inline fun StructureND<Double>.foldDim(
-        foldFunction: (DoubleArray) -> Double,
+    internal inline fun <reified R: Any> StructureND<Double>.foldDim(
+        foldFunction: (DoubleArray) -> R,
         dim: Int,
         keepDim: Boolean,
-    ): DoubleTensor {
+    ): BufferedTensor<R> {
         check(dim < dimension) { "Dimension $dim out of range $dimension" }
         val resShape = if (keepDim) {
             shape.take(dim).toIntArray() + intArrayOf(1) + shape.takeLast(dimension - dim - 1).toIntArray()
@@ -583,37 +584,39 @@ public open class DoubleTensorAlgebra :
             shape.take(dim).toIntArray() + shape.takeLast(dimension - dim - 1).toIntArray()
         }
         val resNumElements = resShape.reduce(Int::times)
-        val resTensor = DoubleTensor(resShape, DoubleArray(resNumElements) { 0.0 }, 0)
-        for (index in resTensor.indices.asSequence()) {
+        val init = foldFunction(DoubleArray(1){0.0})
+        val resTensor = BufferedTensor(resShape,
+            MutableBuffer.auto(resNumElements) { init }, 0)
+        for (index in resTensor.indices) {
             val prefix = index.take(dim).toIntArray()
             val suffix = index.takeLast(dimension - dim - 1).toIntArray()
             resTensor[index] = foldFunction(DoubleArray(shape[dim]) { i ->
                 tensor[prefix + intArrayOf(i) + suffix]
             })
         }
-
         return resTensor
     }
 
     override fun StructureND<Double>.sum(): Double = tensor.fold { it.sum() }
 
     override fun StructureND<Double>.sum(dim: Int, keepDim: Boolean): DoubleTensor =
-        foldDim({ x -> x.sum() }, dim, keepDim)
+        foldDim({ x -> x.sum() }, dim, keepDim).toDoubleTensor()
 
     override fun StructureND<Double>.min(): Double = this.fold { it.minOrNull()!! }
 
     override fun StructureND<Double>.min(dim: Int, keepDim: Boolean): DoubleTensor =
-        foldDim({ x -> x.minOrNull()!! }, dim, keepDim)
+        foldDim({ x -> x.minOrNull()!! }, dim, keepDim).toDoubleTensor()
 
     override fun StructureND<Double>.max(): Double = this.fold { it.maxOrNull()!! }
 
     override fun StructureND<Double>.max(dim: Int, keepDim: Boolean): DoubleTensor =
-        foldDim({ x -> x.maxOrNull()!! }, dim, keepDim)
+        foldDim({ x -> x.maxOrNull()!! }, dim, keepDim).toDoubleTensor()
 
-    override fun StructureND<Double>.argMax(dim: Int, keepDim: Boolean): DoubleTensor =
+
+    override fun StructureND<Double>.argMax(dim: Int, keepDim: Boolean): IntTensor =
         foldDim({ x ->
-            x.withIndex().maxByOrNull { it.value }?.index!!.toDouble()
-        }, dim, keepDim)
+            x.withIndex().maxByOrNull { it.value }?.index!!
+        }, dim, keepDim).toIntTensor()
 
 
     override fun StructureND<Double>.mean(): Double = this.fold { it.sum() / tensor.numElements }
@@ -626,7 +629,7 @@ public open class DoubleTensorAlgebra :
             },
             dim,
             keepDim
-        )
+        ).toDoubleTensor()
 
     override fun StructureND<Double>.std(): Double = this.fold { arr ->
         val mean = arr.sum() / tensor.numElements
@@ -641,7 +644,7 @@ public open class DoubleTensorAlgebra :
         },
         dim,
         keepDim
-    )
+    ).toDoubleTensor()
 
     override fun StructureND<Double>.variance(): Double = this.fold { arr ->
         val mean = arr.sum() / tensor.numElements
@@ -656,7 +659,7 @@ public open class DoubleTensorAlgebra :
         },
         dim,
         keepDim
-    )
+    ).toDoubleTensor()
 
     private fun cov(x: DoubleTensor, y: DoubleTensor): Double {
         val n = x.shape[0]
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/IntTensor.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/IntTensor.kt
index dd9f9c0c1..715d9035f 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/IntTensor.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/IntTensor.kt
@@ -6,6 +6,7 @@
 package space.kscience.kmath.tensors.core
 
 import space.kscience.kmath.structures.IntBuffer
+import space.kscience.kmath.tensors.core.internal.array
 
 /**
  * Default [BufferedTensor] implementation for [Int] values
@@ -14,4 +15,7 @@ public class IntTensor internal constructor(
     shape: IntArray,
     buffer: IntArray,
     offset: Int = 0
-) : BufferedTensor<Int>(shape, IntBuffer(buffer), offset)
+) : BufferedTensor<Int>(shape, IntBuffer(buffer), offset){
+    public fun asDouble() : DoubleTensor =
+        DoubleTensor(shape, mutableBuffer.array().map{ it.toDouble()}.toDoubleArray(), bufferStart)
+}
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/TensorLinearStructure.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/TensorLinearStructure.kt
new file mode 100644
index 000000000..19eefc2f8
--- /dev/null
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/TensorLinearStructure.kt
@@ -0,0 +1,74 @@
+/*
+ * Copyright 2018-2021 KMath contributors.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
+ */
+
+package space.kscience.kmath.tensors.core
+
+import space.kscience.kmath.nd.Strides
+import kotlin.math.max
+
+/**
+ * This [Strides] implementation follows the last dimension first convention
+ * For more information: https://numpy.org/doc/stable/reference/generated/numpy.ndarray.strides.html
+ *
+ * @param shape the shape of the tensor.
+ */
+public class TensorLinearStructure(override val shape: IntArray) : Strides() {
+    override val strides: IntArray
+        get() = stridesFromShape(shape)
+
+    override fun index(offset: Int): IntArray =
+        indexFromOffset(offset, strides, shape.size)
+
+    override val linearSize: Int
+        get() = shape.reduce(Int::times)
+
+    override fun equals(other: Any?): Boolean {
+        if (this === other) return true
+        if (other == null || this::class != other::class) return false
+
+        other as TensorLinearStructure
+
+        if (!shape.contentEquals(other.shape)) return false
+
+        return true
+    }
+
+    override fun hashCode(): Int {
+        return shape.contentHashCode()
+    }
+
+    public companion object {
+
+        public fun stridesFromShape(shape: IntArray): IntArray {
+            val nDim = shape.size
+            val res = IntArray(nDim)
+            if (nDim == 0)
+                return res
+
+            var current = nDim - 1
+            res[current] = 1
+
+            while (current > 0) {
+                res[current - 1] = max(1, shape[current]) * res[current]
+                current--
+            }
+            return res
+        }
+
+        public fun indexFromOffset(offset: Int, strides: IntArray, nDim: Int): IntArray {
+            val res = IntArray(nDim)
+            var current = offset
+            var strideIndex = 0
+
+            while (strideIndex < nDim) {
+                res[strideIndex] = (current / strides[strideIndex])
+                current %= strides[strideIndex]
+                strideIndex++
+            }
+            return res
+        }
+    }
+
+}
\ No newline at end of file
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/TensorLinearStructure.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/TensorLinearStructure.kt
deleted file mode 100644
index 57668722a..000000000
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/TensorLinearStructure.kt
+++ /dev/null
@@ -1,71 +0,0 @@
-/*
- * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
- */
-
-package space.kscience.kmath.tensors.core.internal
-
-import space.kscience.kmath.nd.Strides
-import kotlin.math.max
-
-
-internal fun stridesFromShape(shape: IntArray): IntArray {
-    val nDim = shape.size
-    val res = IntArray(nDim)
-    if (nDim == 0)
-        return res
-
-    var current = nDim - 1
-    res[current] = 1
-
-    while (current > 0) {
-        res[current - 1] = max(1, shape[current]) * res[current]
-        current--
-    }
-    return res
-}
-
-internal fun indexFromOffset(offset: Int, strides: IntArray, nDim: Int): IntArray {
-    val res = IntArray(nDim)
-    var current = offset
-    var strideIndex = 0
-
-    while (strideIndex < nDim) {
-        res[strideIndex] = (current / strides[strideIndex])
-        current %= strides[strideIndex]
-        strideIndex++
-    }
-    return res
-}
-
-/**
- * This [Strides] implementation follows the last dimension first convention
- * For more information: https://numpy.org/doc/stable/reference/generated/numpy.ndarray.strides.html
- *
- * @param shape the shape of the tensor.
- */
-internal class TensorLinearStructure(override val shape: IntArray) : Strides() {
-    override val strides: IntArray
-        get() = stridesFromShape(shape)
-
-    override fun index(offset: Int): IntArray =
-        indexFromOffset(offset, strides, shape.size)
-
-    override val linearSize: Int
-        get() = shape.reduce(Int::times)
-
-    override fun equals(other: Any?): Boolean {
-        if (this === other) return true
-        if (other == null || this::class != other::class) return false
-
-        other as TensorLinearStructure
-
-        if (!shape.contentEquals(other.shape)) return false
-
-        return true
-    }
-
-    override fun hashCode(): Int {
-        return shape.contentHashCode()
-    }
-}
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/tensorCastsUtils.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/tensorCastsUtils.kt
index d3d327f66..602430b03 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/tensorCastsUtils.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/tensorCastsUtils.kt
@@ -12,6 +12,7 @@ import space.kscience.kmath.tensors.api.Tensor
 import space.kscience.kmath.tensors.core.BufferedTensor
 import space.kscience.kmath.tensors.core.DoubleTensor
 import space.kscience.kmath.tensors.core.IntTensor
+import space.kscience.kmath.tensors.core.TensorLinearStructure
 
 internal fun BufferedTensor<Int>.asTensor(): IntTensor =
     IntTensor(this.shape, this.mutableBuffer.array(), this.bufferStart)

From 62e7073ed2637d888e5f43075af8677d483dc55c Mon Sep 17 00:00:00 2001
From: Roland Grinis <roland.grinis@grinisrit.com>
Date: Mon, 1 Nov 2021 18:03:46 +0000
Subject: [PATCH 16/44] example fixed

---
 .../main/kotlin/space/kscience/kmath/tensors/neuralNetwork.kt | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/examples/src/main/kotlin/space/kscience/kmath/tensors/neuralNetwork.kt b/examples/src/main/kotlin/space/kscience/kmath/tensors/neuralNetwork.kt
index cdfc06922..1a2a94534 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/tensors/neuralNetwork.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/tensors/neuralNetwork.kt
@@ -163,7 +163,7 @@ class NeuralNetwork(private val layers: List<Layer>) {
             for ((xBatch, yBatch) in iterBatch(xTrain, yTrain)) {
                 train(xBatch, yBatch)
             }
-            println("Accuracy:${accuracy(yTrain, predict(xTrain).argMax(1, true))}")
+            println("Accuracy:${accuracy(yTrain, predict(xTrain).argMax(1, true).asDouble())}")
         }
     }
 
@@ -230,7 +230,7 @@ fun main() = BroadcastDoubleTensorAlgebra {
     val prediction = model.predict(xTest)
 
     // process raw prediction via argMax
-    val predictionLabels = prediction.argMax(1, true)
+    val predictionLabels = prediction.argMax(1, true).asDouble()
 
     // find out accuracy
     val acc = accuracy(yTest, predictionLabels)

From 726864ed0ee53dc5210abca75f8b851a0d6a33c6 Mon Sep 17 00:00:00 2001
From: Alexander Nozik <altavir@gmail.com>
Date: Wed, 3 Nov 2021 12:55:29 +0300
Subject: [PATCH 17/44] Refactoring of power

---
 CHANGELOG.md                                  |   1 +
 .../kscience/kmath/complex/ComplexFieldND.kt  |  11 +-
 .../kmath/expressions/SimpleAutoDiff.kt       |   6 +-
 .../kscience/kmath/nd/BufferAlgebraND.kt      |  40 ++++--
 .../space/kscience/kmath/nd/DoubleFieldND.kt  |  46 +++++--
 .../kscience/kmath/operations/Algebra.kt      |  55 ++++++++
 .../kmath/operations/BufferAlgebra.kt         |  14 +-
 .../kmath/operations/DoubleBufferField.kt     |  17 ++-
 .../kmath/operations/DoubleBufferOps.kt       | 124 ++++++------------
 .../kmath/operations/OptionalOperations.kt    |  12 +-
 .../kmath/operations/algebraExtensions.kt     |  43 ------
 .../kscience/kmath/operations/numbers.kt      |  25 ++--
 .../kscience/kmath/operations/isInteger.kt    |   6 +
 .../kscience/kmath/operations/isInteger.kt    |   6 +
 .../kscience/kmath/operations/isInteger.kt    |   6 +
 .../kmath/kotlingrad/AdaptingTests.kt         |   2 +-
 .../kscience/kmath/nd4j/Nd4jArrayAlgebra.kt   |   2 +-
 .../tensors/api/AnalyticTensorAlgebra.kt      |  31 ++++-
 .../core/BroadcastDoubleTensorAlgebra.kt      |   4 +
 .../kmath/tensors/core/DoubleTensorAlgebra.kt |  13 ++
 .../tensors/core/tensorAlgebraExtensions.kt   |   3 +
 .../kscience/kmath/viktor/ViktorFieldOpsND.kt |  10 +-
 22 files changed, 296 insertions(+), 181 deletions(-)
 create mode 100644 kmath-core/src/jsMain/kotlin/space/kscience/kmath/operations/isInteger.kt
 create mode 100644 kmath-core/src/jvmMain/kotlin/space/kscience/kmath/operations/isInteger.kt
 create mode 100644 kmath-core/src/nativeMain/kotlin/space/kscience/kmath/operations/isInteger.kt

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 6733c1211..857ed060b 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -17,6 +17,7 @@
 - `BigInt` operation performance improvement and fixes by @zhelenskiy (#328)
 - Integration between `MST` and Symja `IExpr`
 - Complex power
+- Separate methods for UInt, Int and Number powers. NaN safety.
 
 ### Changed
 - Exponential operations merged with hyperbolic functions
diff --git a/kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/ComplexFieldND.kt b/kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/ComplexFieldND.kt
index 9d5b1cddd..2eaa17ded 100644
--- a/kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/ComplexFieldND.kt
+++ b/kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/ComplexFieldND.kt
@@ -18,7 +18,7 @@ import kotlin.contracts.contract
  */
 @OptIn(UnstableKMathAPI::class)
 public sealed class ComplexFieldOpsND : BufferedFieldOpsND<Complex, ComplexField>(ComplexField.bufferAlgebra),
-    ScaleOperations<StructureND<Complex>>, ExtendedFieldOps<StructureND<Complex>> {
+    ScaleOperations<StructureND<Complex>>, ExtendedFieldOps<StructureND<Complex>>, PowerOperations<StructureND<Complex>> {
 
     override fun StructureND<Complex>.toBufferND(): BufferND<Complex> = when (this) {
         is BufferND -> this
@@ -33,9 +33,6 @@ public sealed class ComplexFieldOpsND : BufferedFieldOpsND<Complex, ComplexField
     override fun scale(a: StructureND<Complex>, value: Double): BufferND<Complex> =
         mapInline(a.toBufferND()) { it * value }
 
-    override fun power(arg: StructureND<Complex>, pow: Number): BufferND<Complex> =
-        mapInline(arg.toBufferND()) { power(it, pow) }
-
     override fun exp(arg: StructureND<Complex>): BufferND<Complex> = mapInline(arg.toBufferND()) { exp(it) }
     override fun ln(arg: StructureND<Complex>): BufferND<Complex> = mapInline(arg.toBufferND()) { ln(it) }
 
@@ -53,6 +50,9 @@ public sealed class ComplexFieldOpsND : BufferedFieldOpsND<Complex, ComplexField
     override fun acosh(arg: StructureND<Complex>): BufferND<Complex> = mapInline(arg.toBufferND()) { acosh(it) }
     override fun atanh(arg: StructureND<Complex>): BufferND<Complex> = mapInline(arg.toBufferND()) { atanh(it) }
 
+    override fun power(arg: StructureND<Complex>, pow: Number): StructureND<Complex> =
+        mapInline(arg.toBufferND()) { power(it,pow) }
+
     public companion object : ComplexFieldOpsND()
 }
 
@@ -63,7 +63,8 @@ public val ComplexField.bufferAlgebra: BufferFieldOps<Complex, ComplexField>
 
 @OptIn(UnstableKMathAPI::class)
 public class ComplexFieldND(override val shape: Shape) :
-    ComplexFieldOpsND(), FieldND<Complex, ComplexField>, NumbersAddOps<StructureND<Complex>> {
+    ComplexFieldOpsND(), FieldND<Complex, ComplexField>,
+    NumbersAddOps<StructureND<Complex>> {
 
     override fun number(value: Number): BufferND<Complex> {
         val d = value.toDouble() // minimize conversions
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/SimpleAutoDiff.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/SimpleAutoDiff.kt
index 704c4edd8..aa9dd01ce 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/SimpleAutoDiff.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/SimpleAutoDiff.kt
@@ -252,7 +252,7 @@ public class SimpleAutoDiffExpression<T : Any, F : Field<T>>(
  * Generate [AutoDiffProcessor] for [SimpleAutoDiffExpression]
  */
 public fun <T : Any, F : Field<T>> simpleAutoDiff(
-    field: F
+    field: F,
 ): AutoDiffProcessor<T, AutoDiffValue<T>, SimpleAutoDiffField<T, F>> =
     AutoDiffProcessor { function ->
         SimpleAutoDiffExpression(field, function)
@@ -272,8 +272,8 @@ public fun <T : Any, F : ExtendedField<T>> SimpleAutoDiffField<T, F>.sqrt(x: Aut
 public fun <T : Any, F : ExtendedField<T>> SimpleAutoDiffField<T, F>.pow(
     x: AutoDiffValue<T>,
     y: Double,
-): AutoDiffValue<T> = derive(const { power(x.value, y) }) { z ->
-    x.d += z.d * y * power(x.value, y - 1)
+): AutoDiffValue<T> = derive(const { x.value.pow(y)}) { z ->
+    x.d += z.d * y * x.value.pow(y - 1)
 }
 
 public fun <T : Any, F : ExtendedField<T>> SimpleAutoDiffField<T, F>.pow(
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferAlgebraND.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferAlgebraND.kt
index 0e094a8c7..d25b455f4 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferAlgebraND.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferAlgebraND.kt
@@ -53,21 +53,28 @@ public interface BufferAlgebraND<T, out A : Algebra<T>> : AlgebraND<T, A> {
 
 public inline fun <T, A : Algebra<T>> BufferAlgebraND<T, A>.mapInline(
     arg: BufferND<T>,
-    crossinline transform: A.(T) -> T
+    crossinline transform: A.(T) -> T,
 ): BufferND<T> {
     val indexes = arg.indices
-    return BufferND(indexes, bufferAlgebra.mapInline(arg.buffer, transform))
+    val buffer = arg.buffer
+    return BufferND(
+        indexes,
+        bufferAlgebra.run {
+            bufferFactory(buffer.size) { elementAlgebra.transform(buffer[it]) }
+        }
+    )
 }
 
 internal inline fun <T, A : Algebra<T>> BufferAlgebraND<T, A>.mapIndexedInline(
     arg: BufferND<T>,
-    crossinline transform: A.(index: IntArray, arg: T) -> T
+    crossinline transform: A.(index: IntArray, arg: T) -> T,
 ): BufferND<T> {
     val indexes = arg.indices
+    val buffer = arg.buffer
     return BufferND(
         indexes,
-        bufferAlgebra.mapIndexedInline(arg.buffer) { offset, value ->
-            transform(indexes.index(offset), value)
+        bufferAlgebra.run {
+            bufferFactory(buffer.size) { elementAlgebra.transform(indexes.index(it), buffer[it]) }
         }
     )
 }
@@ -75,35 +82,42 @@ internal inline fun <T, A : Algebra<T>> BufferAlgebraND<T, A>.mapIndexedInline(
 internal inline fun <T, A : Algebra<T>> BufferAlgebraND<T, A>.zipInline(
     l: BufferND<T>,
     r: BufferND<T>,
-    crossinline block: A.(l: T, r: T) -> T
+    crossinline block: A.(l: T, r: T) -> T,
 ): BufferND<T> {
     require(l.indices == r.indices) { "Zip requires the same shapes, but found ${l.shape} on the left and ${r.shape} on the right" }
     val indexes = l.indices
-    return BufferND(indexes, bufferAlgebra.zipInline(l.buffer, r.buffer, block))
+    val lbuffer = l.buffer
+    val rbuffer = r.buffer
+    return BufferND(
+        indexes,
+        bufferAlgebra.run {
+            bufferFactory(lbuffer.size) { elementAlgebra.block(lbuffer[it], rbuffer[it]) }
+        }
+    )
 }
 
 @OptIn(PerformancePitfall::class)
 public open class BufferedGroupNDOps<T, out A : Group<T>>(
     override val bufferAlgebra: BufferAlgebra<T, A>,
-    override val indexerBuilder: (IntArray) -> ShapeIndexer = BufferAlgebraND.defaultIndexerBuilder
+    override val indexerBuilder: (IntArray) -> ShapeIndexer = BufferAlgebraND.defaultIndexerBuilder,
 ) : GroupOpsND<T, A>, BufferAlgebraND<T, A> {
     override fun StructureND<T>.unaryMinus(): StructureND<T> = map { -it }
 }
 
 public open class BufferedRingOpsND<T, out A : Ring<T>>(
     bufferAlgebra: BufferAlgebra<T, A>,
-    indexerBuilder: (IntArray) -> ShapeIndexer = BufferAlgebraND.defaultIndexerBuilder
+    indexerBuilder: (IntArray) -> ShapeIndexer = BufferAlgebraND.defaultIndexerBuilder,
 ) : BufferedGroupNDOps<T, A>(bufferAlgebra, indexerBuilder), RingOpsND<T, A>
 
 public open class BufferedFieldOpsND<T, out A : Field<T>>(
     bufferAlgebra: BufferAlgebra<T, A>,
-    indexerBuilder: (IntArray) -> ShapeIndexer = BufferAlgebraND.defaultIndexerBuilder
+    indexerBuilder: (IntArray) -> ShapeIndexer = BufferAlgebraND.defaultIndexerBuilder,
 ) : BufferedRingOpsND<T, A>(bufferAlgebra, indexerBuilder), FieldOpsND<T, A> {
 
     public constructor(
         elementAlgebra: A,
         bufferFactory: BufferFactory<T>,
-        indexerBuilder: (IntArray) -> ShapeIndexer = BufferAlgebraND.defaultIndexerBuilder
+        indexerBuilder: (IntArray) -> ShapeIndexer = BufferAlgebraND.defaultIndexerBuilder,
     ) : this(BufferFieldOps(elementAlgebra, bufferFactory), indexerBuilder)
 
     @OptIn(PerformancePitfall::class)
@@ -117,11 +131,11 @@ public val <T, A : Field<T>> BufferAlgebra<T, A>.nd: BufferedFieldOpsND<T, A> ge
 
 public fun <T, A : Algebra<T>> BufferAlgebraND<T, A>.structureND(
     vararg shape: Int,
-    initializer: A.(IntArray) -> T
+    initializer: A.(IntArray) -> T,
 ): BufferND<T> = structureND(shape, initializer)
 
 public fun <T, EA : Algebra<T>, A> A.structureND(
-    initializer: EA.(IntArray) -> T
+    initializer: EA.(IntArray) -> T,
 ): BufferND<T> where A : BufferAlgebraND<T, EA>, A : WithShape = structureND(shape, initializer)
 
 //// group factories
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/DoubleFieldND.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/DoubleFieldND.kt
index 7285fdb24..8baeac21f 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/DoubleFieldND.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/DoubleFieldND.kt
@@ -11,7 +11,7 @@ import space.kscience.kmath.operations.*
 import space.kscience.kmath.structures.DoubleBuffer
 import kotlin.contracts.InvocationKind
 import kotlin.contracts.contract
-import kotlin.math.pow
+import kotlin.math.pow as kpow
 
 public class DoubleBufferND(
     indexes: ShapeIndexer,
@@ -30,9 +30,9 @@ public sealed class DoubleFieldOpsND : BufferedFieldOpsND<Double, DoubleField>(D
         }
     }
 
-    private inline fun mapInline(
+    protected inline fun mapInline(
         arg: DoubleBufferND,
-        transform: (Double) -> Double
+        transform: (Double) -> Double,
     ): DoubleBufferND {
         val indexes = arg.indices
         val array = arg.buffer.array
@@ -42,7 +42,7 @@ public sealed class DoubleFieldOpsND : BufferedFieldOpsND<Double, DoubleField>(D
     private inline fun zipInline(
         l: DoubleBufferND,
         r: DoubleBufferND,
-        block: (l: Double, r: Double) -> Double
+        block: (l: Double, r: Double) -> Double,
     ): DoubleBufferND {
         require(l.indices == r.indices) { "Zip requires the same shapes, but found ${l.shape} on the left and ${r.shape} on the right" }
         val indexes = l.indices
@@ -60,7 +60,7 @@ public sealed class DoubleFieldOpsND : BufferedFieldOpsND<Double, DoubleField>(D
     override fun zip(
         left: StructureND<Double>,
         right: StructureND<Double>,
-        transform: DoubleField.(Double, Double) -> Double
+        transform: DoubleField.(Double, Double) -> Double,
     ): BufferND<Double> = zipInline(left.toBufferND(), right.toBufferND()) { l, r -> DoubleField.transform(l, r) }
 
     override fun structureND(shape: Shape, initializer: DoubleField.(IntArray) -> Double): DoubleBufferND {
@@ -123,9 +123,6 @@ public sealed class DoubleFieldOpsND : BufferedFieldOpsND<Double, DoubleField>(D
     override fun scale(a: StructureND<Double>, value: Double): DoubleBufferND =
         mapInline(a.toBufferND()) { it * value }
 
-    override fun power(arg: StructureND<Double>, pow: Number): DoubleBufferND =
-        mapInline(arg.toBufferND()) { it.pow(pow.toDouble()) }
-
     override fun exp(arg: StructureND<Double>): DoubleBufferND =
         mapInline(arg.toBufferND()) { kotlin.math.exp(it) }
 
@@ -173,7 +170,38 @@ public sealed class DoubleFieldOpsND : BufferedFieldOpsND<Double, DoubleField>(D
 
 @OptIn(UnstableKMathAPI::class)
 public class DoubleFieldND(override val shape: Shape) :
-    DoubleFieldOpsND(), FieldND<Double, DoubleField>, NumbersAddOps<StructureND<Double>> {
+    DoubleFieldOpsND(), FieldND<Double, DoubleField>, NumbersAddOps<StructureND<Double>>,
+    ExtendedField<StructureND<Double>> {
+
+    override fun power(arg: StructureND<Double>, pow: UInt): DoubleBufferND = mapInline(arg.toBufferND()) {
+        it.kpow(pow.toInt())
+    }
+
+    override fun power(arg: StructureND<Double>, pow: Int): DoubleBufferND = mapInline(arg.toBufferND()) {
+        it.kpow(pow)
+    }
+
+    override fun power(arg: StructureND<Double>, pow: Number): DoubleBufferND = if(pow.isInteger()){
+        power(arg, pow.toInt())
+    } else {
+        val dpow = pow.toDouble()
+        mapInline(arg.toBufferND()) {
+            if (it < 0) throw IllegalArgumentException("Can't raise negative $it to a fractional power")
+            else it.kpow(dpow)
+        }
+    }
+
+    override fun sinh(arg: StructureND<Double>): DoubleBufferND = super<DoubleFieldOpsND>.sinh(arg)
+
+    override fun cosh(arg: StructureND<Double>): DoubleBufferND = super<DoubleFieldOpsND>.cosh(arg)
+
+    override fun tanh(arg: StructureND<Double>): DoubleBufferND = super<DoubleFieldOpsND>.tan(arg)
+
+    override fun asinh(arg: StructureND<Double>): DoubleBufferND = super<DoubleFieldOpsND>.asinh(arg)
+
+    override fun acosh(arg: StructureND<Double>): DoubleBufferND = super<DoubleFieldOpsND>.acosh(arg)
+
+    override fun atanh(arg: StructureND<Double>): DoubleBufferND = super<DoubleFieldOpsND>.atanh(arg)
 
     override fun number(value: Number): DoubleBufferND {
         val d = value.toDouble() // minimize conversions
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/Algebra.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/Algebra.kt
index 992c0e015..244b9fea7 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/Algebra.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/Algebra.kt
@@ -7,6 +7,7 @@ package space.kscience.kmath.operations
 
 import space.kscience.kmath.expressions.Symbol
 import space.kscience.kmath.misc.UnstableKMathAPI
+import space.kscience.kmath.operations.Ring.Companion.optimizedPower
 
 /**
  * Stub for DSL the [Algebra] is.
@@ -257,6 +258,40 @@ public interface Ring<T> : Group<T>, RingOps<T> {
      * The neutral element of multiplication
      */
     public val one: T
+
+    /**
+     * Raises [arg] to the integer power [pow].
+     */
+    public fun power(arg: T, pow: UInt): T = optimizedPower(arg, pow)
+
+    public companion object{
+        /**
+         * Raises [arg] to the non-negative integer power [exponent].
+         *
+         * Special case: 0 ^ 0 is 1.
+         *
+         * @receiver the algebra to provide multiplication.
+         * @param arg the base.
+         * @param exponent the exponent.
+         * @return the base raised to the power.
+         * @author Evgeniy Zhelenskiy
+         */
+        internal fun <T> Ring<T>.optimizedPower(arg: T, exponent: UInt): T = when {
+            arg == zero && exponent > 0U -> zero
+            arg == one -> arg
+            arg == -one -> powWithoutOptimization(arg, exponent % 2U)
+            else -> powWithoutOptimization(arg, exponent)
+        }
+
+        private fun <T> Ring<T>.powWithoutOptimization(base: T, exponent: UInt): T = when (exponent) {
+            0U -> one
+            1U -> base
+            else -> {
+                val pre = powWithoutOptimization(base, exponent shr 1).let { it * it }
+                if (exponent and 1U == 0U) pre else pre * base
+            }
+        }
+    }
 }
 
 /**
@@ -307,4 +342,24 @@ public interface FieldOps<T> : RingOps<T> {
  */
 public interface Field<T> : Ring<T>, FieldOps<T>, ScaleOperations<T>, NumericAlgebra<T> {
     override fun number(value: Number): T = scale(one, value.toDouble())
+
+    public fun power(arg: T, pow: Int): T = optimizedPower(arg, pow)
+
+    public companion object{
+        /**
+         * Raises [arg] to the integer power [exponent].
+         *
+         * Special case: 0 ^ 0 is 1.
+         *
+         * @receiver the algebra to provide multiplication and division.
+         * @param arg the base.
+         * @param exponent the exponent.
+         * @return the base raised to the power.
+         * @author Iaroslav Postovalov, Evgeniy Zhelenskiy
+         */
+        private fun <T> Field<T>.optimizedPower(arg: T, exponent: Int): T = when {
+            exponent < 0 -> one / (this as Ring<T>).optimizedPower(arg, if (exponent == Int.MIN_VALUE) Int.MAX_VALUE.toUInt().inc() else (-exponent).toUInt())
+            else -> (this as Ring<T>).optimizedPower(arg, exponent.toUInt())
+        }
+    }
 }
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/BufferAlgebra.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/BufferAlgebra.kt
index bc05f3904..634a115c7 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/BufferAlgebra.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/BufferAlgebra.kt
@@ -5,6 +5,7 @@
 
 package space.kscience.kmath.operations
 
+import space.kscience.kmath.misc.UnstableKMathAPI
 import space.kscience.kmath.structures.Buffer
 import space.kscience.kmath.structures.BufferFactory
 import space.kscience.kmath.structures.DoubleBuffer
@@ -34,11 +35,13 @@ public interface BufferAlgebra<T, out A : Algebra<T>> : Algebra<Buffer<T>> {
     public fun Buffer<T>.zip(other: Buffer<T>, block: A.(left: T, right: T) -> T): Buffer<T> =
         zipInline(this, other, block)
 
+    @UnstableKMathAPI
     override fun unaryOperationFunction(operation: String): (arg: Buffer<T>) -> Buffer<T> {
         val operationFunction = elementAlgebra.unaryOperationFunction(operation)
         return { arg -> bufferFactory(arg.size) { operationFunction(arg[it]) } }
     }
 
+    @UnstableKMathAPI
     override fun binaryOperationFunction(operation: String): (left: Buffer<T>, right: Buffer<T>) -> Buffer<T> {
         val operationFunction = elementAlgebra.binaryOperationFunction(operation)
         return { left, right ->
@@ -50,7 +53,7 @@ public interface BufferAlgebra<T, out A : Algebra<T>> : Algebra<Buffer<T>> {
 /**
  * Inline map
  */
-public inline fun <T, A : Algebra<T>> BufferAlgebra<T, A>.mapInline(
+private inline fun <T, A : Algebra<T>> BufferAlgebra<T, A>.mapInline(
     buffer: Buffer<T>,
     crossinline block: A.(T) -> T
 ): Buffer<T> = bufferFactory(buffer.size) { elementAlgebra.block(buffer[it]) }
@@ -58,7 +61,7 @@ public inline fun <T, A : Algebra<T>> BufferAlgebra<T, A>.mapInline(
 /**
  * Inline map
  */
-public inline fun <T, A : Algebra<T>> BufferAlgebra<T, A>.mapIndexedInline(
+private inline fun <T, A : Algebra<T>> BufferAlgebra<T, A>.mapIndexedInline(
     buffer: Buffer<T>,
     crossinline block: A.(index: Int, arg: T) -> T
 ): Buffer<T> = bufferFactory(buffer.size) { elementAlgebra.block(it, buffer[it]) }
@@ -66,7 +69,7 @@ public inline fun <T, A : Algebra<T>> BufferAlgebra<T, A>.mapIndexedInline(
 /**
  * Inline zip
  */
-public inline fun <T, A : Algebra<T>> BufferAlgebra<T, A>.zipInline(
+private inline fun <T, A : Algebra<T>> BufferAlgebra<T, A>.zipInline(
     l: Buffer<T>,
     r: Buffer<T>,
     crossinline block: A.(l: T, r: T) -> T
@@ -126,7 +129,7 @@ public fun <T, A : ExponentialOperations<T>> BufferAlgebra<T, A>.atanh(arg: Buff
     mapInline(arg) { atanh(it) }
 
 public fun <T, A : PowerOperations<T>> BufferAlgebra<T, A>.pow(arg: Buffer<T>, pow: Number): Buffer<T> =
-    mapInline(arg) { power(it, pow) }
+    mapInline(arg) {it.pow(pow) }
 
 
 public open class BufferRingOps<T, A: Ring<T>>(
@@ -138,9 +141,11 @@ public open class BufferRingOps<T, A: Ring<T>>(
     override fun multiply(left: Buffer<T>, right: Buffer<T>): Buffer<T> = zipInline(left, right) { l, r -> l * r }
     override fun Buffer<T>.unaryMinus(): Buffer<T> = map { -it }
 
+    @UnstableKMathAPI
     override fun unaryOperationFunction(operation: String): (arg: Buffer<T>) -> Buffer<T> =
         super<BufferAlgebra>.unaryOperationFunction(operation)
 
+    @UnstableKMathAPI
     override fun binaryOperationFunction(operation: String): (left: Buffer<T>, right: Buffer<T>) -> Buffer<T> =
         super<BufferAlgebra>.binaryOperationFunction(operation)
 }
@@ -160,6 +165,7 @@ public open class BufferFieldOps<T, A : Field<T>>(
     override fun scale(a: Buffer<T>, value: Double): Buffer<T> = a.map { scale(it, value) }
     override fun Buffer<T>.unaryMinus(): Buffer<T> = map { -it }
 
+    @UnstableKMathAPI
     override fun binaryOperationFunction(operation: String): (left: Buffer<T>, right: Buffer<T>) -> Buffer<T> =
         super<BufferRingOps>.binaryOperationFunction(operation)
 }
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/DoubleBufferField.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/DoubleBufferField.kt
index 060ea5a7e..0deb647a3 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/DoubleBufferField.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/DoubleBufferField.kt
@@ -5,6 +5,8 @@
 
 package space.kscience.kmath.operations
 
+import space.kscience.kmath.misc.UnstableKMathAPI
+import space.kscience.kmath.operations.DoubleField.pow
 import space.kscience.kmath.structures.Buffer
 import space.kscience.kmath.structures.DoubleBuffer
 
@@ -27,7 +29,20 @@ public class DoubleBufferField(public val size: Int) : ExtendedField<Buffer<Doub
 
     override fun acosh(arg: Buffer<Double>): DoubleBuffer = super<DoubleBufferOps>.acosh(arg)
 
-    override fun atanh(arg: Buffer<Double>): DoubleBuffer= super<DoubleBufferOps>.atanh(arg)
+    override fun atanh(arg: Buffer<Double>): DoubleBuffer = super<DoubleBufferOps>.atanh(arg)
+
+    override fun power(arg: Buffer<Double>, pow: Number): DoubleBuffer = if (pow.isInteger()) {
+        arg.mapInline { it.pow(pow.toInt()) }
+    } else {
+        arg.mapInline {
+            if(it<0) throw IllegalArgumentException("Negative argument $it could not be raised to the fractional power")
+            it.pow(pow.toDouble())
+        }
+    }
+
+    @UnstableKMathAPI
+    override fun unaryOperationFunction(operation: String): (arg: Buffer<Double>) -> Buffer<Double> =
+        super<ExtendedField>.unaryOperationFunction(operation)
 
     //    override fun number(value: Number): Buffer<Double> = DoubleBuffer(size) { value.toDouble() }
 //
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/DoubleBufferOps.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/DoubleBufferOps.kt
index 3d51b3d32..28238c466 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/DoubleBufferOps.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/DoubleBufferOps.kt
@@ -6,21 +6,32 @@
 package space.kscience.kmath.operations
 
 import space.kscience.kmath.linear.Point
+import space.kscience.kmath.misc.UnstableKMathAPI
 import space.kscience.kmath.structures.Buffer
+import space.kscience.kmath.structures.BufferFactory
 import space.kscience.kmath.structures.DoubleBuffer
+import space.kscience.kmath.structures.asBuffer
 
 import kotlin.math.*
 
 /**
  * [ExtendedFieldOps] over [DoubleBuffer].
  */
-public abstract class DoubleBufferOps : ExtendedFieldOps<Buffer<Double>>, Norm<Buffer<Double>, Double> {
+public abstract class DoubleBufferOps :
+    BufferAlgebra<Double, DoubleField>, ExtendedFieldOps<Buffer<Double>>, Norm<Buffer<Double>, Double> {
 
-    override fun Buffer<Double>.unaryMinus(): DoubleBuffer = if (this is DoubleBuffer) {
-        DoubleBuffer(size) { -array[it] }
-    } else {
-        DoubleBuffer(size) { -get(it) }
-    }
+    override val elementAlgebra: DoubleField get() = DoubleField
+    override val bufferFactory: BufferFactory<Double> get() = ::DoubleBuffer
+
+    @UnstableKMathAPI
+    override fun unaryOperationFunction(operation: String): (arg: Buffer<Double>) -> Buffer<Double> =
+        super<ExtendedFieldOps>.unaryOperationFunction(operation)
+
+    @UnstableKMathAPI
+    override fun binaryOperationFunction(operation: String): (left: Buffer<Double>, right: Buffer<Double>) -> Buffer<Double> =
+        super<ExtendedFieldOps>.binaryOperationFunction(operation)
+
+    override fun Buffer<Double>.unaryMinus(): DoubleBuffer = mapInline { -it }
 
     override fun add(left: Buffer<Double>, right: Buffer<Double>): DoubleBuffer {
         require(right.size == left.size) {
@@ -92,101 +103,46 @@ public abstract class DoubleBufferOps : ExtendedFieldOps<Buffer<Double>>, Norm<B
         } else DoubleBuffer(DoubleArray(left.size) { left[it] / right[it] })
     }
 
-    override fun sin(arg: Buffer<Double>): DoubleBuffer = if (arg is DoubleBuffer) {
-        val array = arg.array
-        DoubleBuffer(DoubleArray(arg.size) { sin(array[it]) })
-    } else DoubleBuffer(DoubleArray(arg.size) { sin(arg[it]) })
+    override fun sin(arg: Buffer<Double>): DoubleBuffer = arg.mapInline(::sin)
 
-    override fun cos(arg: Buffer<Double>): DoubleBuffer = if (arg is DoubleBuffer) {
-        val array = arg.array
-        DoubleBuffer(DoubleArray(arg.size) { cos(array[it]) })
-    } else DoubleBuffer(DoubleArray(arg.size) { cos(arg[it]) })
+    override fun cos(arg: Buffer<Double>): DoubleBuffer = arg.mapInline(::cos)
 
-    override fun tan(arg: Buffer<Double>): DoubleBuffer = if (arg is DoubleBuffer) {
-        val array = arg.array
-        DoubleBuffer(DoubleArray(arg.size) { tan(array[it]) })
-    } else DoubleBuffer(DoubleArray(arg.size) { tan(arg[it]) })
+    override fun tan(arg: Buffer<Double>): DoubleBuffer = arg.mapInline(::tan)
 
-    override fun asin(arg: Buffer<Double>): DoubleBuffer = if (arg is DoubleBuffer) {
-        val array = arg.array
-        DoubleBuffer(DoubleArray(arg.size) { asin(array[it]) })
-    } else
-        DoubleBuffer(DoubleArray(arg.size) { asin(arg[it]) })
+    override fun asin(arg: Buffer<Double>): DoubleBuffer = arg.mapInline(::asin)
 
-    override fun acos(arg: Buffer<Double>): DoubleBuffer = if (arg is DoubleBuffer) {
-        val array = arg.array
-        DoubleBuffer(DoubleArray(arg.size) { acos(array[it]) })
-    } else
-        DoubleBuffer(DoubleArray(arg.size) { acos(arg[it]) })
+    override fun acos(arg: Buffer<Double>): DoubleBuffer = arg.mapInline(::acos)
 
-    override fun atan(arg: Buffer<Double>): DoubleBuffer = if (arg is DoubleBuffer) {
-        val array = arg.array
-        DoubleBuffer(DoubleArray(arg.size) { atan(array[it]) })
-    } else
-        DoubleBuffer(DoubleArray(arg.size) { atan(arg[it]) })
+    override fun atan(arg: Buffer<Double>): DoubleBuffer = arg.mapInline(::atan)
 
-    override fun sinh(arg: Buffer<Double>): DoubleBuffer = if (arg is DoubleBuffer) {
-        val array = arg.array
-        DoubleBuffer(DoubleArray(arg.size) { sinh(array[it]) })
-    } else
-        DoubleBuffer(DoubleArray(arg.size) { sinh(arg[it]) })
+    override fun sinh(arg: Buffer<Double>): DoubleBuffer = arg.mapInline(::sinh)
 
-    override fun cosh(arg: Buffer<Double>): DoubleBuffer = if (arg is DoubleBuffer) {
-        val array = arg.array
-        DoubleBuffer(DoubleArray(arg.size) { cosh(array[it]) })
-    } else
-        DoubleBuffer(DoubleArray(arg.size) { cosh(arg[it]) })
+    override fun cosh(arg: Buffer<Double>): DoubleBuffer = arg.mapInline(::cosh)
 
-    override fun tanh(arg: Buffer<Double>): DoubleBuffer = if (arg is DoubleBuffer) {
-        val array = arg.array
-        DoubleBuffer(DoubleArray(arg.size) { tanh(array[it]) })
-    } else
-        DoubleBuffer(DoubleArray(arg.size) { tanh(arg[it]) })
+    override fun tanh(arg: Buffer<Double>): DoubleBuffer = arg.mapInline(::tanh)
 
-    override fun asinh(arg: Buffer<Double>): DoubleBuffer = if (arg is DoubleBuffer) {
-        val array = arg.array
-        DoubleBuffer(DoubleArray(arg.size) { asinh(array[it]) })
-    } else
-        DoubleBuffer(DoubleArray(arg.size) { asinh(arg[it]) })
+    override fun asinh(arg: Buffer<Double>): DoubleBuffer = arg.mapInline(::asinh)
 
-    override fun acosh(arg: Buffer<Double>): DoubleBuffer = if (arg is DoubleBuffer) {
-        val array = arg.array
-        DoubleBuffer(DoubleArray(arg.size) { acosh(array[it]) })
-    } else
-        DoubleBuffer(DoubleArray(arg.size) { acosh(arg[it]) })
+    override fun acosh(arg: Buffer<Double>): DoubleBuffer = arg.mapInline(::acosh)
 
-    override fun atanh(arg: Buffer<Double>): DoubleBuffer = if (arg is DoubleBuffer) {
-        val array = arg.array
-        DoubleBuffer(DoubleArray(arg.size) { atanh(array[it]) })
-    } else
-        DoubleBuffer(DoubleArray(arg.size) { atanh(arg[it]) })
+    override fun atanh(arg: Buffer<Double>): DoubleBuffer = arg.mapInline(::atanh)
 
-    override fun power(arg: Buffer<Double>, pow: Number): DoubleBuffer = if (arg is DoubleBuffer) {
-        val array = arg.array
-        DoubleBuffer(DoubleArray(arg.size) { array[it].pow(pow.toDouble()) })
-    } else
-        DoubleBuffer(DoubleArray(arg.size) { arg[it].pow(pow.toDouble()) })
+    override fun exp(arg: Buffer<Double>): DoubleBuffer = arg.mapInline(::exp)
 
-    override fun exp(arg: Buffer<Double>): DoubleBuffer = if (arg is DoubleBuffer) {
-        val array = arg.array
-        DoubleBuffer(DoubleArray(arg.size) { exp(array[it]) })
-    } else DoubleBuffer(DoubleArray(arg.size) { exp(arg[it]) })
-
-    override fun ln(arg: Buffer<Double>): DoubleBuffer = if (arg is DoubleBuffer) {
-        val array = arg.array
-        DoubleBuffer(DoubleArray(arg.size) { ln(array[it]) })
-    } else {
-        DoubleBuffer(DoubleArray(arg.size) { ln(arg[it]) })
-    }
+    override fun ln(arg: Buffer<Double>): DoubleBuffer = arg.mapInline(::ln)
 
     override fun norm(arg: Buffer<Double>): Double = DoubleL2Norm.norm(arg)
 
-    override fun scale(a: Buffer<Double>, value: Double): DoubleBuffer = if (a is DoubleBuffer) {
-        val aArray = a.array
-        DoubleBuffer(DoubleArray(a.size) { aArray[it] * value })
-    } else DoubleBuffer(DoubleArray(a.size) { a[it] * value })
+    override fun scale(a: Buffer<Double>, value: Double): DoubleBuffer = a.mapInline { it * value }
 
-    public companion object : DoubleBufferOps()
+    public companion object : DoubleBufferOps() {
+        public inline fun Buffer<Double>.mapInline(block: (Double) -> Double): DoubleBuffer =
+            if (this is DoubleBuffer) {
+                DoubleArray(size) { block(array[it]) }.asBuffer()
+            } else {
+                DoubleArray(size) { block(get(it)) }.asBuffer()
+            }
+    }
 }
 
 public object DoubleL2Norm : Norm<Point<Double>, Double> {
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/OptionalOperations.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/OptionalOperations.kt
index d32e03533..332617158 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/OptionalOperations.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/OptionalOperations.kt
@@ -74,14 +74,21 @@ public interface TrigonometricOperations<T> : Algebra<T> {
     }
 }
 
+/**
+ * Check if number is an integer from platform point of view
+ */
+public expect fun Number.isInteger(): Boolean
+
 /**
  * A context extension to include power operations based on exponentiation.
  *
  * @param T the type of element of this structure.
  */
-public interface PowerOperations<T> : Algebra<T> {
+public interface PowerOperations<T> : FieldOps<T> {
+
     /**
-     * Raises [arg] to the power [pow].
+     * Raises [arg] to a power if possible (negative number could not be raised to a fractional power).
+     * Throws [IllegalArgumentException] if not possible.
      */
     public fun power(arg: T, pow: Number): T
 
@@ -108,6 +115,7 @@ public interface PowerOperations<T> : Algebra<T> {
     }
 }
 
+
 /**
  * A container for operations related to `exp` and `ln` functions.
  *
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/algebraExtensions.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/algebraExtensions.kt
index b26ebb2ea..493d90d2f 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/algebraExtensions.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/algebraExtensions.kt
@@ -96,46 +96,3 @@ public fun <T, S> Iterable<T>.averageWith(space: S): T where S : Ring<T>, S : Sc
 public fun <T, S> Sequence<T>.averageWith(space: S): T where S : Ring<T>, S : ScaleOperations<T> =
     space.average(this)
 
-/**
- * Raises [arg] to the non-negative integer power [exponent].
- *
- * Special case: 0 ^ 0 is 1.
- *
- * @receiver the algebra to provide multiplication.
- * @param arg the base.
- * @param exponent the exponent.
- * @return the base raised to the power.
- * @author Evgeniy Zhelenskiy
- */
-public fun <T> Ring<T>.power(arg: T, exponent: UInt): T = when {
-    arg == zero && exponent > 0U -> zero
-    arg == one -> arg
-    arg == -one -> powWithoutOptimization(arg, exponent % 2U)
-    else -> powWithoutOptimization(arg, exponent)
-}
-
-private fun <T> Ring<T>.powWithoutOptimization(base: T, exponent: UInt): T = when (exponent) {
-    0U -> one
-    1U -> base
-    else -> {
-        val pre = powWithoutOptimization(base, exponent shr 1).let { it * it }
-        if (exponent and 1U == 0U) pre else pre * base
-    }
-}
-
-
-/**
- * Raises [arg] to the integer power [exponent].
- *
- * Special case: 0 ^ 0 is 1.
- *
- * @receiver the algebra to provide multiplication and division.
- * @param arg the base.
- * @param exponent the exponent.
- * @return the base raised to the power.
- * @author Iaroslav Postovalov, Evgeniy Zhelenskiy
- */
-public fun <T> Field<T>.power(arg: T, exponent: Int): T = when {
-    exponent < 0 -> one / (this as Ring<T>).power(arg, if (exponent == Int.MIN_VALUE) Int.MAX_VALUE.toUInt().inc() else (-exponent).toUInt())
-    else -> (this as Ring<T>).power(arg, exponent.toUInt())
-}
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/numbers.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/numbers.kt
index ceb85f3ab..7c8030168 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/numbers.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/numbers.kt
@@ -13,9 +13,8 @@ import kotlin.math.pow as kpow
 public interface ExtendedFieldOps<T> :
     FieldOps<T>,
     TrigonometricOperations<T>,
-    PowerOperations<T>,
     ExponentialOperations<T>,
-    ScaleOperations<T>  {
+    ScaleOperations<T> {
     override fun tan(arg: T): T = sin(arg) / cos(arg)
     override fun tanh(arg: T): T = sinh(arg) / cosh(arg)
 
@@ -26,7 +25,6 @@ public interface ExtendedFieldOps<T> :
         TrigonometricOperations.ACOS_OPERATION -> ::acos
         TrigonometricOperations.ASIN_OPERATION -> ::asin
         TrigonometricOperations.ATAN_OPERATION -> ::atan
-        PowerOperations.SQRT_OPERATION -> ::sqrt
         ExponentialOperations.EXP_OPERATION -> ::exp
         ExponentialOperations.LN_OPERATION -> ::ln
         ExponentialOperations.COSH_OPERATION -> ::cosh
@@ -42,7 +40,7 @@ public interface ExtendedFieldOps<T> :
 /**
  * Advanced Number-like field that implements basic operations.
  */
-public interface ExtendedField<T> : ExtendedFieldOps<T>, Field<T>, NumericAlgebra<T>{
+public interface ExtendedField<T> : ExtendedFieldOps<T>, Field<T>, PowerOperations<T>, NumericAlgebra<T> {
     override fun sinh(arg: T): T = (exp(arg) - exp(-arg)) / 2.0
     override fun cosh(arg: T): T = (exp(arg) + exp(-arg)) / 2.0
     override fun tanh(arg: T): T = (exp(arg) - exp(-arg)) / (exp(-arg) + exp(arg))
@@ -50,6 +48,11 @@ public interface ExtendedField<T> : ExtendedFieldOps<T>, Field<T>, NumericAlgebr
     override fun acosh(arg: T): T = ln(arg + sqrt((arg - one) * (arg + one)))
     override fun atanh(arg: T): T = (ln(arg + one) - ln(one - arg)) / 2.0
 
+    override fun unaryOperationFunction(operation: String): (arg: T) -> T {
+        return if (operation == PowerOperations.SQRT_OPERATION) ::sqrt
+        else super<ExtendedFieldOps>.unaryOperationFunction(operation)
+    }
+
     override fun rightSideNumberOperationFunction(operation: String): (left: T, right: Number) -> T =
         when (operation) {
             PowerOperations.POW_OPERATION -> ::power
@@ -69,7 +72,7 @@ public object DoubleField : ExtendedField<Double>, Norm<Double, Double>, ScaleOp
 
     override fun binaryOperationFunction(operation: String): (left: Double, right: Double) -> Double =
         when (operation) {
-            PowerOperations.POW_OPERATION -> ::power
+            PowerOperations.POW_OPERATION -> { l, r -> l.kpow(r) }
             else -> super<ExtendedField>.binaryOperationFunction(operation)
         }
 
@@ -94,8 +97,13 @@ public object DoubleField : ExtendedField<Double>, Norm<Double, Double>, ScaleOp
     override inline fun acosh(arg: Double): Double = kotlin.math.acosh(arg)
     override inline fun atanh(arg: Double): Double = kotlin.math.atanh(arg)
 
-    override inline fun sqrt(arg: Double): Double = kotlin.math.sqrt(arg)
-    override inline fun power(arg: Double, pow: Number): Double = arg.kpow(pow.toDouble())
+    override fun sqrt(arg: Double): Double = kotlin.math.sqrt(arg)
+    override fun power(arg: Double, pow: Number): Double = when {
+        pow.isInteger() -> arg.kpow(pow.toInt())
+        arg < 0 -> throw IllegalArgumentException("Can't raise negative $arg to a fractional power $pow")
+        else -> arg.kpow(pow.toDouble())
+    }
+
     override inline fun exp(arg: Double): Double = kotlin.math.exp(arg)
     override inline fun ln(arg: Double): Double = kotlin.math.ln(arg)
 
@@ -122,7 +130,7 @@ public object FloatField : ExtendedField<Float>, Norm<Float, Float> {
 
     override fun binaryOperationFunction(operation: String): (left: Float, right: Float) -> Float =
         when (operation) {
-            PowerOperations.POW_OPERATION -> ::power
+            PowerOperations.POW_OPERATION -> { l, r -> l.kpow(r) }
             else -> super.binaryOperationFunction(operation)
         }
 
@@ -149,6 +157,7 @@ public object FloatField : ExtendedField<Float>, Norm<Float, Float> {
 
     override inline fun sqrt(arg: Float): Float = kotlin.math.sqrt(arg)
     override inline fun power(arg: Float, pow: Number): Float = arg.kpow(pow.toFloat())
+
     override inline fun exp(arg: Float): Float = kotlin.math.exp(arg)
     override inline fun ln(arg: Float): Float = kotlin.math.ln(arg)
 
diff --git a/kmath-core/src/jsMain/kotlin/space/kscience/kmath/operations/isInteger.kt b/kmath-core/src/jsMain/kotlin/space/kscience/kmath/operations/isInteger.kt
new file mode 100644
index 000000000..c15669145
--- /dev/null
+++ b/kmath-core/src/jsMain/kotlin/space/kscience/kmath/operations/isInteger.kt
@@ -0,0 +1,6 @@
+package space.kscience.kmath.operations
+
+/**
+ * Check if number is an integer
+ */
+public actual fun Number.isInteger(): Boolean = js("Number").isInteger(this) as Boolean
\ No newline at end of file
diff --git a/kmath-core/src/jvmMain/kotlin/space/kscience/kmath/operations/isInteger.kt b/kmath-core/src/jvmMain/kotlin/space/kscience/kmath/operations/isInteger.kt
new file mode 100644
index 000000000..746d1e530
--- /dev/null
+++ b/kmath-core/src/jvmMain/kotlin/space/kscience/kmath/operations/isInteger.kt
@@ -0,0 +1,6 @@
+package space.kscience.kmath.operations
+
+/**
+ * Check if number is an integer
+ */
+public actual fun Number.isInteger(): Boolean = (this is Int) || (this is Long) || (this is Short) || (this.toDouble() % 1 == 0.0)
\ No newline at end of file
diff --git a/kmath-core/src/nativeMain/kotlin/space/kscience/kmath/operations/isInteger.kt b/kmath-core/src/nativeMain/kotlin/space/kscience/kmath/operations/isInteger.kt
new file mode 100644
index 000000000..746d1e530
--- /dev/null
+++ b/kmath-core/src/nativeMain/kotlin/space/kscience/kmath/operations/isInteger.kt
@@ -0,0 +1,6 @@
+package space.kscience.kmath.operations
+
+/**
+ * Check if number is an integer
+ */
+public actual fun Number.isInteger(): Boolean = (this is Int) || (this is Long) || (this is Short) || (this.toDouble() % 1 == 0.0)
\ No newline at end of file
diff --git a/kmath-kotlingrad/src/test/kotlin/space/kscience/kmath/kotlingrad/AdaptingTests.kt b/kmath-kotlingrad/src/test/kotlin/space/kscience/kmath/kotlingrad/AdaptingTests.kt
index 67332a680..4047b9a67 100644
--- a/kmath-kotlingrad/src/test/kotlin/space/kscience/kmath/kotlingrad/AdaptingTests.kt
+++ b/kmath-kotlingrad/src/test/kotlin/space/kscience/kmath/kotlingrad/AdaptingTests.kt
@@ -62,6 +62,6 @@ internal class AdaptingTests {
             .parseMath()
             .compileToExpression(DoubleField)
 
-        assertEquals(actualDerivative(x to 0.1), expectedDerivative(x to 0.1))
+        assertEquals(actualDerivative(x to -0.1), expectedDerivative(x to -0.1))
     }
 }
diff --git a/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jArrayAlgebra.kt b/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jArrayAlgebra.kt
index b1cc1f834..dd27bc817 100644
--- a/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jArrayAlgebra.kt
+++ b/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jArrayAlgebra.kt
@@ -155,7 +155,7 @@ public sealed interface Nd4jArrayField<T, out F : Field<T>> : FieldOpsND<T, F>,
  * Represents intersection of [ExtendedField] and [Field] over [Nd4jArrayStructure].
  */
 public sealed interface Nd4jArrayExtendedFieldOps<T, out F : ExtendedField<T>> :
-    ExtendedFieldOps<StructureND<T>>, Nd4jArrayField<T, F> {
+    ExtendedFieldOps<StructureND<T>>, Nd4jArrayField<T, F>, PowerOperations<StructureND<T>> {
 
     override fun sin(arg: StructureND<T>): StructureND<T> = Transforms.sin(arg.ndArray).wrap()
     override fun cos(arg: StructureND<T>): StructureND<T> = Transforms.cos(arg.ndArray).wrap()
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/AnalyticTensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/AnalyticTensorAlgebra.kt
index c756584a4..743105fdf 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/AnalyticTensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/AnalyticTensorAlgebra.kt
@@ -5,8 +5,8 @@
 
 package space.kscience.kmath.tensors.api
 
-import space.kscience.kmath.misc.UnstableKMathAPI
 import space.kscience.kmath.nd.StructureND
+import space.kscience.kmath.operations.ExtendedFieldOps
 import space.kscience.kmath.operations.Field
 
 
@@ -15,7 +15,8 @@ import space.kscience.kmath.operations.Field
  *
  * @param T the type of items closed under analytic functions in the tensors.
  */
-public interface AnalyticTensorAlgebra<T, A : Field<T>> : TensorPartialDivisionAlgebra<T, A> {
+public interface AnalyticTensorAlgebra<T, A : Field<T>> :
+    TensorPartialDivisionAlgebra<T, A>, ExtendedFieldOps<StructureND<T>> {
 
     /**
      * @return the mean of all elements in the input tensor.
@@ -122,7 +123,27 @@ public interface AnalyticTensorAlgebra<T, A : Field<T>> : TensorPartialDivisionA
     //For information: https://pytorch.org/docs/stable/generated/torch.floor.html#torch.floor
     public fun StructureND<T>.floor(): Tensor<T>
 
-}
+    override fun sin(arg: StructureND<T>): StructureND<T> = arg.sin()
 
-@UnstableKMathAPI
-public fun <T, ATA : AnalyticTensorAlgebra<T, *>> ATA.exp(arg: StructureND<T>): Tensor<T> = arg.exp()
\ No newline at end of file
+    override fun cos(arg: StructureND<T>): StructureND<T> = arg.cos()
+
+    override fun asin(arg: StructureND<T>): StructureND<T> = arg.asin()
+
+    override fun acos(arg: StructureND<T>): StructureND<T> = arg.acos()
+
+    override fun atan(arg: StructureND<T>): StructureND<T> = arg.atan()
+
+    override fun exp(arg: StructureND<T>): StructureND<T> = arg.exp()
+
+    override fun ln(arg: StructureND<T>): StructureND<T> = arg.ln()
+
+    override fun sinh(arg: StructureND<T>): StructureND<T> = arg.sinh()
+
+    override fun cosh(arg: StructureND<T>): StructureND<T> = arg.cosh()
+
+    override fun asinh(arg: StructureND<T>): StructureND<T> = arg.asinh()
+
+    override fun acosh(arg: StructureND<T>): StructureND<T> = arg.acosh()
+
+    override fun atanh(arg: StructureND<T>): StructureND<T> = arg.atanh()
+}
\ No newline at end of file
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BroadcastDoubleTensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BroadcastDoubleTensorAlgebra.kt
index 7353ecab1..10c747777 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BroadcastDoubleTensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BroadcastDoubleTensorAlgebra.kt
@@ -5,6 +5,7 @@
 
 package space.kscience.kmath.tensors.core
 
+import space.kscience.kmath.misc.PerformancePitfall
 import space.kscience.kmath.misc.UnstableKMathAPI
 import space.kscience.kmath.nd.StructureND
 import space.kscience.kmath.tensors.api.Tensor
@@ -17,6 +18,8 @@ import space.kscience.kmath.tensors.core.internal.tensor
  * Basic linear algebra operations implemented with broadcasting.
  * For more information: https://pytorch.org/docs/stable/notes/broadcasting.html
  */
+
+@PerformancePitfall
 public object BroadcastDoubleTensorAlgebra : DoubleTensorAlgebra() {
 
     override fun StructureND<Double>.plus(arg: StructureND<Double>): DoubleTensor {
@@ -99,5 +102,6 @@ public object BroadcastDoubleTensorAlgebra : DoubleTensorAlgebra() {
  * Compute a value using broadcast double tensor algebra
  */
 @UnstableKMathAPI
+@PerformancePitfall
 public fun <R> DoubleTensorAlgebra.withBroadcast(block: BroadcastDoubleTensorAlgebra.() -> R): R =
     BroadcastDoubleTensorAlgebra.block()
\ No newline at end of file
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
index 5e7ae262f..bae49c037 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
@@ -3,8 +3,12 @@
  * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
  */
 
+
+@file:OptIn(PerformancePitfall::class)
+
 package space.kscience.kmath.tensors.core
 
+import space.kscience.kmath.misc.PerformancePitfall
 import space.kscience.kmath.nd.MutableStructure2D
 import space.kscience.kmath.nd.StructureND
 import space.kscience.kmath.nd.as1D
@@ -39,6 +43,7 @@ public open class DoubleTensorAlgebra :
      * @param transform the function to be applied to each element of the tensor.
      * @return the resulting tensor after applying the function.
      */
+    @PerformancePitfall
     @Suppress("OVERRIDE_BY_INLINE")
     final override inline fun StructureND<Double>.map(transform: DoubleField.(Double) -> Double): DoubleTensor {
         val tensor = this.tensor
@@ -52,6 +57,7 @@ public open class DoubleTensorAlgebra :
         )
     }
 
+    @PerformancePitfall
     @Suppress("OVERRIDE_BY_INLINE")
     final override inline fun StructureND<Double>.mapIndexed(transform: DoubleField.(index: IntArray, Double) -> Double): DoubleTensor {
         val tensor = this.tensor
@@ -65,6 +71,7 @@ public open class DoubleTensorAlgebra :
         )
     }
 
+    @PerformancePitfall
     override fun zip(
         left: StructureND<Double>,
         right: StructureND<Double>,
@@ -377,6 +384,7 @@ public open class DoubleTensorAlgebra :
     override fun Tensor<Double>.viewAs(other: StructureND<Double>): DoubleTensor =
         tensor.view(other.shape)
 
+    @PerformancePitfall
     override infix fun StructureND<Double>.dot(other: StructureND<Double>): DoubleTensor {
         if (tensor.shape.size == 1 && other.shape.size == 1) {
             return DoubleTensor(intArrayOf(1), doubleArrayOf(tensor.times(other).tensor.mutableBuffer.array().sum()))
@@ -691,14 +699,19 @@ public open class DoubleTensorAlgebra :
         return resTensor
     }
 
+    @OptIn(PerformancePitfall::class)
     override fun StructureND<Double>.exp(): DoubleTensor = tensor.map { exp(it) }
 
+    @OptIn(PerformancePitfall::class)
     override fun StructureND<Double>.ln(): DoubleTensor = tensor.map { ln(it) }
 
+    @OptIn(PerformancePitfall::class)
     override fun StructureND<Double>.sqrt(): DoubleTensor = tensor.map { sqrt(it) }
 
+    @OptIn(PerformancePitfall::class)
     override fun StructureND<Double>.cos(): DoubleTensor = tensor.map { cos(it) }
 
+    @OptIn(PerformancePitfall::class)
     override fun StructureND<Double>.acos(): DoubleTensor = tensor.map { acos(it) }
 
     override fun StructureND<Double>.cosh(): DoubleTensor = tensor.map { cosh(it) }
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/tensorAlgebraExtensions.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/tensorAlgebraExtensions.kt
index 916388ba9..1e6dfd52e 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/tensorAlgebraExtensions.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/tensorAlgebraExtensions.kt
@@ -3,8 +3,11 @@
  * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
  */
 
+@file:OptIn(PerformancePitfall::class)
+
 package space.kscience.kmath.tensors.core
 
+import space.kscience.kmath.misc.PerformancePitfall
 import space.kscience.kmath.nd.Shape
 import kotlin.jvm.JvmName
 
diff --git a/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorFieldOpsND.kt b/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorFieldOpsND.kt
index c50404c9c..e43bbbc6f 100644
--- a/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorFieldOpsND.kt
+++ b/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorFieldOpsND.kt
@@ -6,17 +6,20 @@
 package space.kscience.kmath.viktor
 
 import org.jetbrains.bio.viktor.F64Array
+import space.kscience.kmath.misc.PerformancePitfall
 import space.kscience.kmath.misc.UnstableKMathAPI
 import space.kscience.kmath.nd.*
 import space.kscience.kmath.operations.DoubleField
 import space.kscience.kmath.operations.ExtendedFieldOps
 import space.kscience.kmath.operations.NumbersAddOps
+import space.kscience.kmath.operations.PowerOperations
 
 @OptIn(UnstableKMathAPI::class)
 @Suppress("OVERRIDE_BY_INLINE", "NOTHING_TO_INLINE")
 public open class ViktorFieldOpsND :
     FieldOpsND<Double, DoubleField>,
-    ExtendedFieldOps<StructureND<Double>> {
+    ExtendedFieldOps<StructureND<Double>>,
+    PowerOperations<StructureND<Double>> {
 
     public val StructureND<Double>.f64Buffer: F64Array
         get() = when (this) {
@@ -35,6 +38,7 @@ public open class ViktorFieldOpsND :
 
     override fun StructureND<Double>.unaryMinus(): StructureND<Double> = -1 * this
 
+    @PerformancePitfall
     override fun StructureND<Double>.map(transform: DoubleField.(Double) -> Double): ViktorStructureND =
         F64Array(*shape).apply {
             DefaultStrides(shape).asSequence().forEach { index ->
@@ -42,6 +46,7 @@ public open class ViktorFieldOpsND :
             }
         }.asStructure()
 
+    @PerformancePitfall
     override fun StructureND<Double>.mapIndexed(
         transform: DoubleField.(index: IntArray, Double) -> Double,
     ): ViktorStructureND = F64Array(*shape).apply {
@@ -50,6 +55,7 @@ public open class ViktorFieldOpsND :
         }
     }.asStructure()
 
+    @PerformancePitfall
     override fun zip(
         left: StructureND<Double>,
         right: StructureND<Double>,
@@ -110,7 +116,7 @@ public open class ViktorFieldOpsND :
 public val DoubleField.viktorAlgebra: ViktorFieldOpsND get() = ViktorFieldOpsND
 
 public open class ViktorFieldND(
-    override val shape: Shape
+    override val shape: Shape,
 ) : ViktorFieldOpsND(), FieldND<Double, DoubleField>, NumbersAddOps<StructureND<Double>> {
     override val zero: ViktorStructureND by lazy { F64Array.full(init = 0.0, shape = shape).asStructure() }
     override val one: ViktorStructureND by lazy { F64Array.full(init = 1.0, shape = shape).asStructure() }

From 0e1e97a3ffc766be5cad8b13b59c1b21a77a9f6e Mon Sep 17 00:00:00 2001
From: Alexander Nozik <altavir@gmail.com>
Date: Thu, 4 Nov 2021 10:58:27 +0300
Subject: [PATCH 18/44] Multik integration finished (for now)

---
 .../kmath/operations/DoubleBufferOps.kt       |  10 +-
 .../kmath/multik/MultikDoubleAlgebra.kt       | 143 ++++--------------
 .../kmath/tensors/core/DoubleTensorAlgebra.kt |  75 ++++-----
 .../kmath/tensors/core/internal/linUtils.kt   |   2 +-
 4 files changed, 65 insertions(+), 165 deletions(-)

diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/DoubleBufferOps.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/DoubleBufferOps.kt
index 28238c466..b0cce91d3 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/DoubleBufferOps.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/DoubleBufferOps.kt
@@ -17,12 +17,15 @@ import kotlin.math.*
 /**
  * [ExtendedFieldOps] over [DoubleBuffer].
  */
-public abstract class DoubleBufferOps :
-    BufferAlgebra<Double, DoubleField>, ExtendedFieldOps<Buffer<Double>>, Norm<Buffer<Double>, Double> {
+public abstract class DoubleBufferOps : BufferAlgebra<Double, DoubleField>, ExtendedFieldOps<Buffer<Double>>,
+    Norm<Buffer<Double>, Double> {
 
     override val elementAlgebra: DoubleField get() = DoubleField
     override val bufferFactory: BufferFactory<Double> get() = ::DoubleBuffer
 
+    override fun Buffer<Double>.map(block: DoubleField.(Double) -> Double): DoubleBuffer =
+        mapInline { DoubleField.block(it) }
+
     @UnstableKMathAPI
     override fun unaryOperationFunction(operation: String): (arg: Buffer<Double>) -> Buffer<Double> =
         super<ExtendedFieldOps>.unaryOperationFunction(operation)
@@ -87,8 +90,7 @@ public abstract class DoubleBufferOps :
             val aArray = left.array
             val bArray = right.array
             DoubleBuffer(DoubleArray(left.size) { aArray[it] * bArray[it] })
-        } else
-            DoubleBuffer(DoubleArray(left.size) { left[it] * right[it] })
+        } else DoubleBuffer(DoubleArray(left.size) { left[it] * right[it] })
     }
 
     override fun divide(left: Buffer<Double>, right: Buffer<Double>): DoubleBuffer {
diff --git a/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikDoubleAlgebra.kt b/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikDoubleAlgebra.kt
index e5fef6c1e..4f18ee573 100644
--- a/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikDoubleAlgebra.kt
+++ b/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikDoubleAlgebra.kt
@@ -1,134 +1,47 @@
 package space.kscience.kmath.multik
 
-import org.jetbrains.kotlinx.multik.ndarray.data.DN
 import org.jetbrains.kotlinx.multik.ndarray.data.DataType
 import space.kscience.kmath.nd.StructureND
 import space.kscience.kmath.operations.DoubleField
-import space.kscience.kmath.tensors.api.AnalyticTensorAlgebra
-import space.kscience.kmath.tensors.api.LinearOpsTensorAlgebra
-import space.kscience.kmath.tensors.api.Tensor
+import space.kscience.kmath.operations.ExponentialOperations
+import space.kscience.kmath.operations.TrigonometricOperations
 
 public object MultikDoubleAlgebra : MultikDivisionTensorAlgebra<Double, DoubleField>(),
-    AnalyticTensorAlgebra<Double, DoubleField>, LinearOpsTensorAlgebra<Double, DoubleField> {
+    TrigonometricOperations<StructureND<Double>>, ExponentialOperations<StructureND<Double>> {
     override val elementAlgebra: DoubleField get() = DoubleField
     override val type: DataType get() = DataType.DoubleDataType
 
-    override fun StructureND<Double>.mean(): Double = multikStat.mean(asMultik().array)
+    override fun sin(arg: StructureND<Double>): MultikTensor<Double> = multikMath.mathEx.sin(arg.asMultik().array).wrap()
 
-    override fun StructureND<Double>.mean(dim: Int, keepDim: Boolean): Tensor<Double> =
-        multikStat.mean<Double,DN, DN>(asMultik().array, dim).wrap()
+    override fun cos(arg: StructureND<Double>): MultikTensor<Double> = multikMath.mathEx.cos(arg.asMultik().array).wrap()
 
-    override fun StructureND<Double>.std(): Double {
-        TODO("Not yet implemented")
+    override fun tan(arg: StructureND<Double>): MultikTensor<Double> = sin(arg) / cos(arg)
+
+    override fun asin(arg: StructureND<Double>): MultikTensor<Double>  = arg.map { asin(it) }
+
+    override fun acos(arg: StructureND<Double>): MultikTensor<Double> = arg.map { acos(it) }
+
+    override fun atan(arg: StructureND<Double>): MultikTensor<Double> = arg.map { atan(it) }
+
+    override fun exp(arg: StructureND<Double>): MultikTensor<Double> = multikMath.mathEx.exp(arg.asMultik().array).wrap()
+
+    override fun ln(arg: StructureND<Double>): MultikTensor<Double> = multikMath.mathEx.log(arg.asMultik().array).wrap()
+
+    override fun sinh(arg: StructureND<Double>): MultikTensor<Double> = (exp(arg) - exp(-arg)) / 2.0
+
+    override fun cosh(arg: StructureND<Double>): MultikTensor<Double> = (exp(arg) + exp(-arg)) / 2.0
+
+    override fun tanh(arg: StructureND<Double>): MultikTensor<Double> {
+        val expPlus = exp(arg)
+        val expMinus = exp(-arg)
+        return (expPlus - expMinus) / (expPlus + expMinus)
     }
 
-    override fun StructureND<Double>.std(dim: Int, keepDim: Boolean): Tensor<Double> {
-        TODO("Not yet implemented")
-    }
+    override fun asinh(arg: StructureND<Double>): MultikTensor<Double> = arg.map { asinh(it) }
 
-    override fun StructureND<Double>.variance(): Double {
-        TODO("Not yet implemented")
-    }
+    override fun acosh(arg: StructureND<Double>): MultikTensor<Double> = arg.map { acosh(it) }
 
-    override fun StructureND<Double>.variance(dim: Int, keepDim: Boolean): Tensor<Double> {
-        TODO("Not yet implemented")
-    }
-
-    override fun StructureND<Double>.exp(): Tensor<Double> {
-        TODO("Not yet implemented")
-    }
-
-    override fun StructureND<Double>.ln(): Tensor<Double> {
-        TODO("Not yet implemented")
-    }
-
-    override fun StructureND<Double>.sqrt(): Tensor<Double> {
-        TODO("Not yet implemented")
-    }
-
-    override fun StructureND<Double>.cos(): Tensor<Double> {
-        TODO("Not yet implemented")
-    }
-
-    override fun StructureND<Double>.acos(): Tensor<Double> {
-        TODO("Not yet implemented")
-    }
-
-    override fun StructureND<Double>.cosh(): Tensor<Double> {
-        TODO("Not yet implemented")
-    }
-
-    override fun StructureND<Double>.acosh(): Tensor<Double> {
-        TODO("Not yet implemented")
-    }
-
-    override fun StructureND<Double>.sin(): Tensor<Double> {
-        TODO("Not yet implemented")
-    }
-
-    override fun StructureND<Double>.asin(): Tensor<Double> {
-        TODO("Not yet implemented")
-    }
-
-    override fun StructureND<Double>.sinh(): Tensor<Double> {
-        TODO("Not yet implemented")
-    }
-
-    override fun StructureND<Double>.asinh(): Tensor<Double> {
-        TODO("Not yet implemented")
-    }
-
-    override fun StructureND<Double>.tan(): Tensor<Double> {
-        TODO("Not yet implemented")
-    }
-
-    override fun StructureND<Double>.atan(): Tensor<Double> {
-        TODO("Not yet implemented")
-    }
-
-    override fun StructureND<Double>.tanh(): Tensor<Double> {
-        TODO("Not yet implemented")
-    }
-
-    override fun StructureND<Double>.atanh(): Tensor<Double> {
-        TODO("Not yet implemented")
-    }
-
-    override fun StructureND<Double>.ceil(): Tensor<Double> {
-        TODO("Not yet implemented")
-    }
-
-    override fun StructureND<Double>.floor(): Tensor<Double> {
-        TODO("Not yet implemented")
-    }
-
-    override fun StructureND<Double>.det(): Tensor<Double> {
-        TODO("Not yet implemented")
-    }
-
-    override fun StructureND<Double>.inv(): Tensor<Double> {
-        TODO("Not yet implemented")
-    }
-
-    override fun StructureND<Double>.cholesky(): Tensor<Double> {
-        TODO("Not yet implemented")
-    }
-
-    override fun StructureND<Double>.qr(): Pair<Tensor<Double>, Tensor<Double>> {
-        TODO("Not yet implemented")
-    }
-
-    override fun StructureND<Double>.lu(): Triple<Tensor<Double>, Tensor<Double>, Tensor<Double>> {
-        TODO("Not yet implemented")
-    }
-
-    override fun StructureND<Double>.svd(): Triple<Tensor<Double>, Tensor<Double>, Tensor<Double>> {
-        TODO("Not yet implemented")
-    }
-
-    override fun StructureND<Double>.symEig(): Pair<Tensor<Double>, Tensor<Double>> {
-        TODO("Not yet implemented")
-    }
+    override fun atanh(arg: StructureND<Double>): MultikTensor<Double> = arg.map { atanh(it) }
 }
 
 public val Double.Companion.multikAlgebra: MultikTensorAlgebra<Double, DoubleField> get() = MultikDoubleAlgebra
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
index bae49c037..864900adb 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
@@ -75,9 +75,9 @@ public open class DoubleTensorAlgebra :
     override fun zip(
         left: StructureND<Double>,
         right: StructureND<Double>,
-        transform: DoubleField.(Double, Double) -> Double
+        transform: DoubleField.(Double, Double) -> Double,
     ): DoubleTensor {
-        require(left.shape.contentEquals(right.shape)){
+        require(left.shape.contentEquals(right.shape)) {
             "The shapes in zip are not equal: left - ${left.shape}, right - ${right.shape}"
         }
         val leftTensor = left.tensor
@@ -422,14 +422,11 @@ public open class DoubleTensorAlgebra :
 
         for ((res, ab) in resTensor.matrixSequence().zip(newThis.matrixSequence().zip(newOther.matrixSequence()))) {
             val (a, b) = ab
-            dotHelper(a.as2D(), b.as2D(), res.as2D(), l, m1, n)
+            dotTo(a.as2D(), b.as2D(), res.as2D(), l, m1, n)
         }
 
         if (penultimateDim) {
-            return resTensor.view(
-                resTensor.shape.dropLast(2).toIntArray() +
-                        intArrayOf(resTensor.shape.last())
-            )
+            return resTensor.view(resTensor.shape.dropLast(2).toIntArray() + intArrayOf(resTensor.shape.last()))
         }
         if (lastDim) {
             return resTensor.view(resTensor.shape.dropLast(1).toIntArray())
@@ -441,7 +438,7 @@ public open class DoubleTensorAlgebra :
         diagonalEntries: Tensor<Double>,
         offset: Int,
         dim1: Int,
-        dim2: Int
+        dim2: Int,
     ): DoubleTensor {
         val n = diagonalEntries.shape.size
         val d1 = minusIndexFrom(n + 1, dim1)
@@ -577,13 +574,13 @@ public open class DoubleTensorAlgebra :
      */
     public fun Tensor<Double>.rowsByIndices(indices: IntArray): DoubleTensor = stack(indices.map { this[it] })
 
-    internal inline fun StructureND<Double>.fold(foldFunction: (DoubleArray) -> Double): Double =
+    private inline fun StructureND<Double>.fold(foldFunction: (DoubleArray) -> Double): Double =
         foldFunction(tensor.copyArray())
 
-    internal inline fun <reified R: Any> StructureND<Double>.foldDim(
-        foldFunction: (DoubleArray) -> R,
+    private inline fun <reified R : Any> StructureND<Double>.foldDim(
         dim: Int,
         keepDim: Boolean,
+        foldFunction: (DoubleArray) -> R,
     ): BufferedTensor<R> {
         check(dim < dimension) { "Dimension $dim out of range $dimension" }
         val resShape = if (keepDim) {
@@ -592,7 +589,7 @@ public open class DoubleTensorAlgebra :
             shape.take(dim).toIntArray() + shape.takeLast(dimension - dim - 1).toIntArray()
         }
         val resNumElements = resShape.reduce(Int::times)
-        val init = foldFunction(DoubleArray(1){0.0})
+        val init = foldFunction(DoubleArray(1) { 0.0 })
         val resTensor = BufferedTensor(resShape,
             MutableBuffer.auto(resNumElements) { init }, 0)
         for (index in resTensor.indices) {
@@ -608,66 +605,59 @@ public open class DoubleTensorAlgebra :
     override fun StructureND<Double>.sum(): Double = tensor.fold { it.sum() }
 
     override fun StructureND<Double>.sum(dim: Int, keepDim: Boolean): DoubleTensor =
-        foldDim({ x -> x.sum() }, dim, keepDim).toDoubleTensor()
+        foldDim(dim, keepDim) { x -> x.sum() }.toDoubleTensor()
 
     override fun StructureND<Double>.min(): Double = this.fold { it.minOrNull()!! }
 
     override fun StructureND<Double>.min(dim: Int, keepDim: Boolean): DoubleTensor =
-        foldDim({ x -> x.minOrNull()!! }, dim, keepDim).toDoubleTensor()
+        foldDim(dim, keepDim) { x -> x.minOrNull()!! }.toDoubleTensor()
 
     override fun StructureND<Double>.max(): Double = this.fold { it.maxOrNull()!! }
 
     override fun StructureND<Double>.max(dim: Int, keepDim: Boolean): DoubleTensor =
-        foldDim({ x -> x.maxOrNull()!! }, dim, keepDim).toDoubleTensor()
+        foldDim(dim, keepDim) { x -> x.maxOrNull()!! }.toDoubleTensor()
 
 
     override fun StructureND<Double>.argMax(dim: Int, keepDim: Boolean): IntTensor =
-        foldDim({ x ->
+        foldDim(dim, keepDim) { x ->
             x.withIndex().maxByOrNull { it.value }?.index!!
-        }, dim, keepDim).toIntTensor()
+        }.toIntTensor()
 
 
     override fun StructureND<Double>.mean(): Double = this.fold { it.sum() / tensor.numElements }
 
-    override fun StructureND<Double>.mean(dim: Int, keepDim: Boolean): DoubleTensor =
-        foldDim(
-            { arr ->
-                check(dim < dimension) { "Dimension $dim out of range $dimension" }
-                arr.sum() / shape[dim]
-            },
-            dim,
-            keepDim
-        ).toDoubleTensor()
+    override fun StructureND<Double>.mean(dim: Int, keepDim: Boolean): DoubleTensor = foldDim(dim, keepDim) { arr ->
+        check(dim < dimension) { "Dimension $dim out of range $dimension" }
+        arr.sum() / shape[dim]
+    }.toDoubleTensor()
 
-    override fun StructureND<Double>.std(): Double = this.fold { arr ->
+    override fun StructureND<Double>.std(): Double = fold { arr ->
         val mean = arr.sum() / tensor.numElements
         sqrt(arr.sumOf { (it - mean) * (it - mean) } / (tensor.numElements - 1))
     }
 
     override fun StructureND<Double>.std(dim: Int, keepDim: Boolean): DoubleTensor = foldDim(
-        { arr ->
-            check(dim < dimension) { "Dimension $dim out of range $dimension" }
-            val mean = arr.sum() / shape[dim]
-            sqrt(arr.sumOf { (it - mean) * (it - mean) } / (shape[dim] - 1))
-        },
         dim,
         keepDim
-    ).toDoubleTensor()
+    ) { arr ->
+        check(dim < dimension) { "Dimension $dim out of range $dimension" }
+        val mean = arr.sum() / shape[dim]
+        sqrt(arr.sumOf { (it - mean) * (it - mean) } / (shape[dim] - 1))
+    }.toDoubleTensor()
 
-    override fun StructureND<Double>.variance(): Double = this.fold { arr ->
+    override fun StructureND<Double>.variance(): Double = fold { arr ->
         val mean = arr.sum() / tensor.numElements
         arr.sumOf { (it - mean) * (it - mean) } / (tensor.numElements - 1)
     }
 
     override fun StructureND<Double>.variance(dim: Int, keepDim: Boolean): DoubleTensor = foldDim(
-        { arr ->
-            check(dim < dimension) { "Dimension $dim out of range $dimension" }
-            val mean = arr.sum() / shape[dim]
-            arr.sumOf { (it - mean) * (it - mean) } / (shape[dim] - 1)
-        },
         dim,
         keepDim
-    ).toDoubleTensor()
+    ) { arr ->
+        check(dim < dimension) { "Dimension $dim out of range $dimension" }
+        val mean = arr.sum() / shape[dim]
+        arr.sumOf { (it - mean) * (it - mean) } / (shape[dim] - 1)
+    }.toDoubleTensor()
 
     private fun cov(x: DoubleTensor, y: DoubleTensor): Double {
         val n = x.shape[0]
@@ -699,19 +689,14 @@ public open class DoubleTensorAlgebra :
         return resTensor
     }
 
-    @OptIn(PerformancePitfall::class)
     override fun StructureND<Double>.exp(): DoubleTensor = tensor.map { exp(it) }
 
-    @OptIn(PerformancePitfall::class)
     override fun StructureND<Double>.ln(): DoubleTensor = tensor.map { ln(it) }
 
-    @OptIn(PerformancePitfall::class)
     override fun StructureND<Double>.sqrt(): DoubleTensor = tensor.map { sqrt(it) }
 
-    @OptIn(PerformancePitfall::class)
     override fun StructureND<Double>.cos(): DoubleTensor = tensor.map { cos(it) }
 
-    @OptIn(PerformancePitfall::class)
     override fun StructureND<Double>.acos(): DoubleTensor = tensor.map { acos(it) }
 
     override fun StructureND<Double>.cosh(): DoubleTensor = tensor.map { cosh(it) }
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/linUtils.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/linUtils.kt
index d31e02677..290809cfd 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/linUtils.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/linUtils.kt
@@ -53,7 +53,7 @@ internal val <T> BufferedTensor<T>.matrices: VirtualBuffer<BufferedTensor<T>>
 
 internal fun <T> BufferedTensor<T>.matrixSequence(): Sequence<BufferedTensor<T>> = matrices.asSequence()
 
-internal fun dotHelper(
+internal fun dotTo(
     a: MutableStructure2D<Double>,
     b: MutableStructure2D<Double>,
     res: MutableStructure2D<Double>,

From 6c2abdaab03de31084ece8b53f4e53c4c0e5c17a Mon Sep 17 00:00:00 2001
From: Alexander Nozik <altavir@gmail.com>
Date: Wed, 10 Nov 2021 20:04:29 +0300
Subject: [PATCH 19/44] First tensorflow test.

---
 kmath-tensorflow/build.gradle.kts             |   1 +
 .../tensorflow/DoubleTensorFlowAlgebra.kt     |  27 ++++-
 .../kmath/tensorflow/IntTensorFlowAlgebra.kt  |  21 ++++
 .../kmath/tensorflow/TensorFlowAlgebra.kt     | 104 ++++++++++--------
 .../kmath/tensorflow/DoubleTensorFlowOps.kt   |  19 ++++
 .../kscience/kmath/viktor/ViktorFieldOpsND.kt |   2 +
 6 files changed, 127 insertions(+), 47 deletions(-)
 create mode 100644 kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/IntTensorFlowAlgebra.kt
 create mode 100644 kmath-tensorflow/src/test/kotlin/space/kscience/kmath/tensorflow/DoubleTensorFlowOps.kt

diff --git a/kmath-tensorflow/build.gradle.kts b/kmath-tensorflow/build.gradle.kts
index fa77a272a..c8307f01f 100644
--- a/kmath-tensorflow/build.gradle.kts
+++ b/kmath-tensorflow/build.gradle.kts
@@ -7,6 +7,7 @@ description = "Google tensorflow connector"
 dependencies {
     api(project(":kmath-tensors"))
     api("org.tensorflow:tensorflow-core-api:0.3.3")
+    testImplementation("org.tensorflow:tensorflow-core-platform:0.3.3")
 }
 
 readme {
diff --git a/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/DoubleTensorFlowAlgebra.kt b/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/DoubleTensorFlowAlgebra.kt
index 44420cd76..eb8245944 100644
--- a/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/DoubleTensorFlowAlgebra.kt
+++ b/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/DoubleTensorFlowAlgebra.kt
@@ -5,6 +5,7 @@ import org.tensorflow.Output
 import org.tensorflow.ndarray.NdArray
 import org.tensorflow.op.core.Constant
 import org.tensorflow.types.TFloat64
+import space.kscience.kmath.expressions.Symbol
 import space.kscience.kmath.misc.PerformancePitfall
 import space.kscience.kmath.nd.DefaultStrides
 import space.kscience.kmath.nd.Shape
@@ -13,20 +14,22 @@ import space.kscience.kmath.operations.DoubleField
 
 public class DoubleTensorFlowOutput(
     graph: Graph,
-    output: Output<TFloat64>
+    output: Output<TFloat64>,
 ) : TensorFlowOutput<Double, TFloat64>(graph, output) {
-    override fun org.tensorflow.Tensor.actualizeTensor(): NdArray<Double> = output.asTensor()
+
+    override fun org.tensorflow.Tensor.actualizeTensor(): NdArray<Double> = this as TFloat64
+
 }
 
 public class DoubleTensorFlowAlgebra internal constructor(
-    graph: Graph
+    graph: Graph,
 ) : TensorFlowAlgebra<Double, TFloat64, DoubleField>(graph) {
 
     override val elementAlgebra: DoubleField get() = DoubleField
 
     override fun structureND(
         shape: Shape,
-        initializer: DoubleField.(IntArray) -> Double
+        initializer: DoubleField.(IntArray) -> Double,
     ): StructureND<Double> {
         val res = TFloat64.tensorOf(org.tensorflow.ndarray.Shape.of(*shape.toLongArray())) { array ->
             DefaultStrides(shape).forEach { index ->
@@ -53,4 +56,20 @@ public class DoubleTensorFlowAlgebra internal constructor(
     override fun Output<TFloat64>.wrap(): TensorFlowOutput<Double, TFloat64> = DoubleTensorFlowOutput(graph, this)
 
     override fun const(value: Double): Constant<TFloat64> = ops.constant(value)
+
+
+}
+
+public fun DoubleField.produceWithTF(
+    block: DoubleTensorFlowAlgebra.() -> StructureND<Double>,
+): StructureND<Double> = Graph().use { graph ->
+    val scope = DoubleTensorFlowAlgebra(graph)
+    scope.export(scope.block())
+}
+
+public fun DoubleField.produceMapWithTF(
+    block: DoubleTensorFlowAlgebra.() -> Map<Symbol, StructureND<Double>>,
+): Map<Symbol, StructureND<Double>> = Graph().use { graph ->
+    val scope = DoubleTensorFlowAlgebra(graph)
+    scope.block().mapValues { scope.export(it.value) }
 }
\ No newline at end of file
diff --git a/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/IntTensorFlowAlgebra.kt b/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/IntTensorFlowAlgebra.kt
new file mode 100644
index 000000000..084a445e0
--- /dev/null
+++ b/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/IntTensorFlowAlgebra.kt
@@ -0,0 +1,21 @@
+package space.kscience.kmath.tensorflow
+
+import org.tensorflow.Graph
+import org.tensorflow.Output
+import org.tensorflow.ndarray.NdArray
+import org.tensorflow.types.TInt32
+import org.tensorflow.types.TInt64
+
+public class IntTensorFlowOutput(
+    graph: Graph,
+    output: Output<TInt32>,
+) : TensorFlowOutput<Int, TInt32>(graph, output) {
+    override fun org.tensorflow.Tensor.actualizeTensor(): NdArray<Int> = this as TInt32
+}
+
+public class LongTensorFlowOutput(
+    graph: Graph,
+    output: Output<TInt64>,
+) : TensorFlowOutput<Long, TInt64>(graph, output) {
+    override fun org.tensorflow.Tensor.actualizeTensor(): NdArray<Long> = this as TInt64
+}
\ No newline at end of file
diff --git a/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/TensorFlowAlgebra.kt b/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/TensorFlowAlgebra.kt
index e73620d01..1f978c0fc 100644
--- a/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/TensorFlowAlgebra.kt
+++ b/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/TensorFlowAlgebra.kt
@@ -8,8 +8,13 @@ import org.tensorflow.Session
 import org.tensorflow.ndarray.NdArray
 import org.tensorflow.op.Ops
 import org.tensorflow.op.core.Constant
+import org.tensorflow.op.core.Max
+import org.tensorflow.op.core.Min
+import org.tensorflow.op.core.Sum
+import org.tensorflow.types.TInt32
 import org.tensorflow.types.family.TType
 import space.kscience.kmath.misc.PerformancePitfall
+import space.kscience.kmath.misc.UnstableKMathAPI
 import space.kscience.kmath.nd.Shape
 import space.kscience.kmath.nd.StructureND
 import space.kscience.kmath.operations.Ring
@@ -38,8 +43,8 @@ public value class TensorFlowArray<T>(public val tensor: NdArray<T>) : Tensor<T>
 }
 
 public abstract class TensorFlowOutput<T, TT : TType>(
-    private val graph: Graph,
-    output: Output<TT>
+    protected val graph: Graph,
+    output: Output<TT>,
 ) : TensorFlowTensor<T> {
 
     public var output: Output<TT> = output
@@ -49,9 +54,10 @@ public abstract class TensorFlowOutput<T, TT : TType>(
 
     protected abstract fun org.tensorflow.Tensor.actualizeTensor(): NdArray<T>
 
-    private val actualTensor by lazy {
-        val session = Session(graph)
-        TensorFlowArray(session.runner().fetch(output).run().first().actualizeTensor())
+    internal val actualTensor by lazy {
+        Session(graph).use { session ->
+            TensorFlowArray(session.runner().fetch(output).run().first().actualizeTensor())
+        }
     }
 
     override fun get(index: IntArray): T = actualTensor[index]
@@ -66,9 +72,9 @@ public abstract class TensorFlowOutput<T, TT : TType>(
 }
 
 
-public abstract class TensorFlowAlgebra<T, TT : TType, A: Ring<T>> internal constructor(
-    protected val graph: Graph
-) : TensorAlgebra<T,A> {
+public abstract class TensorFlowAlgebra<T, TT : TType, A : Ring<T>> internal constructor(
+    protected val graph: Graph,
+) : TensorAlgebra<T, A> {
 
     protected val ops: Ops by lazy { Ops.create(graph) }
 
@@ -83,7 +89,7 @@ public abstract class TensorFlowAlgebra<T, TT : TType, A: Ring<T>> internal cons
 
     private inline fun StructureND<T>.biOp(
         other: StructureND<T>,
-        operation: (left: Operand<TT>, right: Operand<TT>) -> Operand<TT>
+        operation: (left: Operand<TT>, right: Operand<TT>) -> Operand<TT>,
     ): TensorFlowOutput<T, TT> {
         val left = asTensorFlow().output
         val right = other.asTensorFlow().output
@@ -92,7 +98,7 @@ public abstract class TensorFlowAlgebra<T, TT : TType, A: Ring<T>> internal cons
 
     private inline fun T.biOp(
         other: StructureND<T>,
-        operation: (left: Operand<TT>, right: Operand<TT>) -> Operand<TT>
+        operation: (left: Operand<TT>, right: Operand<TT>) -> Operand<TT>,
     ): TensorFlowOutput<T, TT> {
         val left = const(this)
         val right = other.asTensorFlow().output
@@ -101,7 +107,7 @@ public abstract class TensorFlowAlgebra<T, TT : TType, A: Ring<T>> internal cons
 
     private inline fun StructureND<T>.biOp(
         value: T,
-        operation: (left: Operand<TT>, right: Operand<TT>) -> Operand<TT>
+        operation: (left: Operand<TT>, right: Operand<TT>) -> Operand<TT>,
     ): TensorFlowOutput<T, TT> {
         val left = asTensorFlow().output
         val right = const(value)
@@ -110,7 +116,7 @@ public abstract class TensorFlowAlgebra<T, TT : TType, A: Ring<T>> internal cons
 
     private inline fun Tensor<T>.inPlaceOp(
         other: StructureND<T>,
-        operation: (left: Operand<TT>, right: Operand<TT>) -> Operand<TT>
+        operation: (left: Operand<TT>, right: Operand<TT>) -> Operand<TT>,
     ): Unit {
         val origin = asTensorFlow()
         val left = origin.output
@@ -120,7 +126,7 @@ public abstract class TensorFlowAlgebra<T, TT : TType, A: Ring<T>> internal cons
 
     private inline fun Tensor<T>.inPlaceOp(
         value: T,
-        operation: (left: Operand<TT>, right: Operand<TT>) -> Operand<TT>
+        operation: (left: Operand<TT>, right: Operand<TT>) -> Operand<TT>,
     ): Unit {
         val origin = asTensorFlow()
         val left = origin.output
@@ -128,8 +134,8 @@ public abstract class TensorFlowAlgebra<T, TT : TType, A: Ring<T>> internal cons
         origin.output = operation(left, right).asOutput()
     }
 
-    private inline fun unOp(value: StructureND<T>, operation: (Operand<TT>) -> Operand<TT>): TensorFlowOutput<T, TT> =
-        operation(value.asTensorFlow().output).asOutput().wrap()
+    private inline fun StructureND<T>.unOp(operation: (Operand<TT>) -> Operand<TT>): TensorFlowOutput<T, TT> =
+        operation(asTensorFlow().output).asOutput().wrap()
 
     override fun T.plus(arg: StructureND<T>): TensorFlowOutput<T, TT> = biOp(arg, ops.math::add)
 
@@ -149,67 +155,79 @@ public abstract class TensorFlowAlgebra<T, TT : TType, A: Ring<T>> internal cons
 
     override fun Tensor<T>.minusAssign(value: T): Unit = inPlaceOp(value, ops.math::sub)
 
-    override fun Tensor<T>.minusAssign(other: StructureND<T>): Unit = inPlaceOp(other, ops.math::sub)
+    override fun Tensor<T>.minusAssign(arg: StructureND<T>): Unit = inPlaceOp(arg, ops.math::sub)
 
     override fun T.times(arg: StructureND<T>): TensorFlowOutput<T, TT> = biOp(arg, ops.math::mul)
 
     override fun StructureND<T>.times(arg: T): TensorFlowOutput<T, TT> = biOp(arg, ops.math::mul)
 
-    override fun StructureND<T>.times(other: StructureND<T>): TensorFlowOutput<T, TT> = biOp(other, ops.math::mul)
+    override fun StructureND<T>.times(arg: StructureND<T>): TensorFlowOutput<T, TT> = biOp(arg, ops.math::mul)
 
     override fun Tensor<T>.timesAssign(value: T): Unit = inPlaceOp(value, ops.math::mul)
 
     override fun Tensor<T>.timesAssign(arg: StructureND<T>): Unit = inPlaceOp(arg, ops.math::mul)
 
-    override fun StructureND<T>.unaryMinus(): TensorFlowOutput<T, TT> = unOp(this, ops.math::neg)
+    override fun StructureND<T>.unaryMinus(): TensorFlowOutput<T, TT> = unOp(ops.math::neg)
 
-    override fun StructureND<T>.get(i: Int): Tensor<T> {
+    override fun Tensor<T>.get(i: Int): Tensor<T> = unOp {
         TODO("Not yet implemented")
     }
 
-    override fun StructureND<T>.transpose(i: Int, j: Int): Tensor<T> = unOp(this) {
+    override fun Tensor<T>.transpose(i: Int, j: Int): Tensor<T> = unOp {
         ops.linalg.transpose(it, ops.constant(intArrayOf(i, j)))
     }
 
-    override fun Tensor<T>.view(shape: IntArray): Tensor<T> {
-        TODO("Not yet implemented")
+    override fun Tensor<T>.view(shape: IntArray): Tensor<T> = unOp {
+        ops.reshape(it, ops.constant(shape))
     }
 
-    override fun Tensor<T>.viewAs(other: StructureND<T>): Tensor<T> {
-        TODO("Not yet implemented")
+    override fun Tensor<T>.viewAs(other: StructureND<T>): Tensor<T> = biOp(other) { l, r ->
+        ops.reshape(l, ops.shape(r))
     }
 
     override fun StructureND<T>.dot(other: StructureND<T>): TensorFlowOutput<T, TT> = biOp(other) { l, r ->
         ops.linalg.matMul(l, r)
     }
 
-    override fun diagonalEmbedding(diagonalEntries: Tensor<T>, offset: Int, dim1: Int, dim2: Int): Tensor<T> = ops.run {
-        TODO("Not yet implemented")
+    override fun diagonalEmbedding(
+        diagonalEntries: Tensor<T>,
+        offset: Int,
+        dim1: Int,
+        dim2: Int,
+    ): TensorFlowOutput<T, TT> = diagonalEntries.unOp {
+        TODO()
     }
 
-    override fun StructureND<T>.sum(): T = TODO("Not yet implemented")
+    override fun StructureND<T>.sum(): T = unOp {
+        ops.sum(it, ops.constant(intArrayOf()))
+    }.value()
 
-    override fun StructureND<T>.sum(dim: Int, keepDim: Boolean): Tensor<T> {
-        TODO("Not yet implemented")
+    override fun StructureND<T>.sum(dim: Int, keepDim: Boolean): TensorFlowOutput<T, TT> = unOp {
+        ops.sum(it, ops.constant(dim), Sum.keepDims(keepDim))
     }
 
-    override fun StructureND<T>.min(): T {
-        TODO("Not yet implemented")
+    override fun StructureND<T>.min(): T = unOp {
+        ops.min(it, ops.constant(intArrayOf()))
+    }.value()
+
+    override fun StructureND<T>.min(dim: Int, keepDim: Boolean): Tensor<T> = unOp {
+        ops.min(it, ops.constant(dim), Min.keepDims(keepDim))
     }
 
-    override fun StructureND<T>.min(dim: Int, keepDim: Boolean): Tensor<T> {
-        TODO("Not yet implemented")
+    override fun StructureND<T>.max(): T = unOp {
+        ops.max(it, ops.constant(intArrayOf()))
+    }.value()
+
+    override fun StructureND<T>.max(dim: Int, keepDim: Boolean): Tensor<T> = unOp {
+        ops.max(it, ops.constant(dim), Max.keepDims(keepDim))
     }
 
-    override fun StructureND<T>.max(): T {
-        TODO("Not yet implemented")
-    }
+    override fun StructureND<T>.argMax(dim: Int, keepDim: Boolean): Tensor<Int> = IntTensorFlowOutput(
+        graph,
+        ops.math.argMax(asTensorFlow().output, ops.constant(dim), TInt32::class.java).output()
+    ).actualTensor
 
-    override fun StructureND<T>.max(dim: Int, keepDim: Boolean): Tensor<T> {
-        TODO("Not yet implemented")
-    }
-
-    override fun StructureND<T>.argMax(dim: Int, keepDim: Boolean): Tensor<T> {
-        TODO("Not yet implemented")
-    }
+    @OptIn(UnstableKMathAPI::class)
+    override fun export(arg: StructureND<T>): StructureND<T> =
+        if (arg is TensorFlowOutput<T, *>) arg.actualTensor else arg
 }
\ No newline at end of file
diff --git a/kmath-tensorflow/src/test/kotlin/space/kscience/kmath/tensorflow/DoubleTensorFlowOps.kt b/kmath-tensorflow/src/test/kotlin/space/kscience/kmath/tensorflow/DoubleTensorFlowOps.kt
new file mode 100644
index 000000000..b7a4b94b4
--- /dev/null
+++ b/kmath-tensorflow/src/test/kotlin/space/kscience/kmath/tensorflow/DoubleTensorFlowOps.kt
@@ -0,0 +1,19 @@
+package space.kscience.kmath.tensorflow
+
+import org.junit.jupiter.api.Test
+import space.kscience.kmath.nd.StructureND
+import space.kscience.kmath.nd.structureND
+import space.kscience.kmath.operations.DoubleField
+
+class DoubleTensorFlowOps {
+    @Test
+    fun basicOps() {
+        val res = DoubleField.produceWithTF {
+            val initial = structureND(2, 2) { 1.0 }
+
+            initial + (initial * 2.0)
+        }
+        println(StructureND.toString(res))
+    }
+
+}
\ No newline at end of file
diff --git a/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorFieldOpsND.kt b/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorFieldOpsND.kt
index e43bbbc6f..a6ab55624 100644
--- a/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorFieldOpsND.kt
+++ b/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorFieldOpsND.kt
@@ -3,6 +3,8 @@
  * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
  */
 
+@file:OptIn(PerformancePitfall::class)
+
 package space.kscience.kmath.viktor
 
 import org.jetbrains.bio.viktor.F64Array

From f231d722c6b3d7fb43c1640a16e4332c29333bf4 Mon Sep 17 00:00:00 2001
From: Iaroslav Postovalov <postovalovya@gmail.com>
Date: Mon, 15 Nov 2021 22:42:00 +0700
Subject: [PATCH 20/44] Multiple performance improvements related to ASM 1.
 Argument values are cached in locals 2. Optimized Expression.invoke function
 3. lambda=indy is used in kmath-core

---
 benchmarks/build.gradle.kts                   |  6 +-
 .../ExpressionsInterpretersBenchmark.kt       |  4 +-
 .../benchmarks/addBenchmarkProperties.kt      |  2 +-
 examples/build.gradle.kts                     |  4 +-
 .../space/kscience/kmath/ast/expressions.kt   | 12 ++--
 .../kotlin/space/kscience/kmath/asm/asm.kt    | 46 +++++++++++-----
 .../kscience/kmath/asm/internal/AsmBuilder.kt | 55 +++++++++++++------
 kmath-core/build.gradle.kts                   | 19 +++++--
 .../kscience/kmath/expressions/Expression.kt  | 27 +++++++--
 9 files changed, 127 insertions(+), 48 deletions(-)

diff --git a/benchmarks/build.gradle.kts b/benchmarks/build.gradle.kts
index cca3d312d..130cc84a3 100644
--- a/benchmarks/build.gradle.kts
+++ b/benchmarks/build.gradle.kts
@@ -72,9 +72,9 @@ benchmark {
     }
 
     fun kotlinx.benchmark.gradle.BenchmarkConfiguration.commonConfiguration() {
-        warmups = 1
+        warmups = 2
         iterations = 5
-        iterationTime = 1000
+        iterationTime = 2000
         iterationTimeUnit = "ms"
     }
 
@@ -143,7 +143,7 @@ kotlin.sourceSets.all {
 tasks.withType<org.jetbrains.kotlin.gradle.tasks.KotlinCompile> {
     kotlinOptions {
         jvmTarget = "11"
-        freeCompilerArgs = freeCompilerArgs + "-Xjvm-default=all"
+        freeCompilerArgs = freeCompilerArgs + "-Xjvm-default=all" + "-Xlambdas=indy"
     }
 }
 
diff --git a/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/ExpressionsInterpretersBenchmark.kt b/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/ExpressionsInterpretersBenchmark.kt
index 63e1511bd..b824a0d69 100644
--- a/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/ExpressionsInterpretersBenchmark.kt
+++ b/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/ExpressionsInterpretersBenchmark.kt
@@ -62,9 +62,11 @@ internal class ExpressionsInterpretersBenchmark {
     private fun invokeAndSum(expr: Expression<Double>, blackhole: Blackhole) {
         val random = Random(0)
         var sum = 0.0
+        val m = HashMap<Symbol, Double>()
 
         repeat(times) {
-            sum += expr(x to random.nextDouble())
+            m[x] = random.nextDouble()
+            sum += expr(m)
         }
 
         blackhole.consume(sum)
diff --git a/buildSrc/src/main/kotlin/space/kscience/kmath/benchmarks/addBenchmarkProperties.kt b/buildSrc/src/main/kotlin/space/kscience/kmath/benchmarks/addBenchmarkProperties.kt
index 72c9ff0ad..568bfe535 100644
--- a/buildSrc/src/main/kotlin/space/kscience/kmath/benchmarks/addBenchmarkProperties.kt
+++ b/buildSrc/src/main/kotlin/space/kscience/kmath/benchmarks/addBenchmarkProperties.kt
@@ -54,7 +54,7 @@ fun Project.addBenchmarkProperties() {
                         LocalDateTime.parse(it.name, ISO_DATE_TIME).atZone(ZoneId.systemDefault()).toInstant()
                     }
 
-                    if (resDirectory == null) {
+                    if (resDirectory == null || !(resDirectory.resolve("jvm.json")).exists()) {
                         "> **Can't find appropriate benchmark data. Try generating readme files after running benchmarks**."
                     } else {
                         val reports =
diff --git a/examples/build.gradle.kts b/examples/build.gradle.kts
index 7b1bce26a..05e562143 100644
--- a/examples/build.gradle.kts
+++ b/examples/build.gradle.kts
@@ -64,9 +64,9 @@ kotlin.sourceSets.all {
 }
 
 tasks.withType<org.jetbrains.kotlin.gradle.tasks.KotlinCompile> {
-    kotlinOptions{
+    kotlinOptions {
         jvmTarget = "11"
-        freeCompilerArgs = freeCompilerArgs + "-Xjvm-default=all" + "-Xopt-in=kotlin.RequiresOptIn"
+        freeCompilerArgs = freeCompilerArgs + "-Xjvm-default=all" + "-Xopt-in=kotlin.RequiresOptIn" + "-Xlambdas=indy"
     }
 }
 
diff --git a/examples/src/main/kotlin/space/kscience/kmath/ast/expressions.kt b/examples/src/main/kotlin/space/kscience/kmath/ast/expressions.kt
index 887d76c42..b37d120fb 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/ast/expressions.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/ast/expressions.kt
@@ -5,18 +5,22 @@
 
 package space.kscience.kmath.ast
 
+import space.kscience.kmath.asm.compileToExpression
 import space.kscience.kmath.expressions.MstField
+import space.kscience.kmath.expressions.Symbol
 import space.kscience.kmath.expressions.Symbol.Companion.x
-import space.kscience.kmath.expressions.interpret
 import space.kscience.kmath.operations.DoubleField
 import space.kscience.kmath.operations.invoke
 
 fun main() {
     val expr = MstField {
         x * 2.0 + number(2.0) / x - 16.0
-    }
+    }.compileToExpression(DoubleField)
+
+    val m = HashMap<Symbol, Double>()
 
     repeat(10000000) {
-        expr.interpret(DoubleField, x to 1.0)
+        m[x] = 1.0
+        expr(m)
     }
-}
\ No newline at end of file
+}
diff --git a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/asm.kt b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/asm.kt
index 2426d6ee4..9a7c4b023 100644
--- a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/asm.kt
+++ b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/asm.kt
@@ -26,7 +26,19 @@ import space.kscience.kmath.operations.bindSymbolOrNull
  */
 @PublishedApi
 internal fun <T : Any> MST.compileWith(type: Class<T>, algebra: Algebra<T>): Expression<T> {
-    fun AsmBuilder<T>.visit(node: MST): Unit = when (node) {
+    fun AsmBuilder<T>.variablesVisitor(node: MST): Unit = when (node) {
+        is Symbol -> prepareVariable(node.identity)
+        is Unary -> variablesVisitor(node.value)
+
+        is Binary -> {
+            variablesVisitor(node.left)
+            variablesVisitor(node.right)
+        }
+
+        else -> Unit
+    }
+
+    fun AsmBuilder<T>.expressionVisitor(node: MST): Unit = when (node) {
         is Symbol -> {
             val symbol = algebra.bindSymbolOrNull(node)
 
@@ -40,39 +52,47 @@ internal fun <T : Any> MST.compileWith(type: Class<T>, algebra: Algebra<T>): Exp
 
         is Unary -> when {
             algebra is NumericAlgebra && node.value is Numeric -> loadObjectConstant(
-                algebra.unaryOperationFunction(node.operation)(algebra.number((node.value as Numeric).value)))
+                algebra.unaryOperationFunction(node.operation)(algebra.number((node.value as Numeric).value)),
+            )
 
-            else -> buildCall(algebra.unaryOperationFunction(node.operation)) { visit(node.value) }
+            else -> buildCall(algebra.unaryOperationFunction(node.operation)) { expressionVisitor(node.value) }
         }
 
         is Binary -> when {
             algebra is NumericAlgebra && node.left is Numeric && node.right is Numeric -> loadObjectConstant(
                 algebra.binaryOperationFunction(node.operation).invoke(
                     algebra.number((node.left as Numeric).value),
-                    algebra.number((node.right as Numeric).value)
+                    algebra.number((node.right as Numeric).value),
                 )
             )
 
             algebra is NumericAlgebra && node.left is Numeric -> buildCall(
-                algebra.leftSideNumberOperationFunction(node.operation)) {
-                visit(node.left)
-                visit(node.right)
+                algebra.leftSideNumberOperationFunction(node.operation),
+            ) {
+                expressionVisitor(node.left)
+                expressionVisitor(node.right)
             }
 
             algebra is NumericAlgebra && node.right is Numeric -> buildCall(
-                algebra.rightSideNumberOperationFunction(node.operation)) {
-                visit(node.left)
-                visit(node.right)
+                algebra.rightSideNumberOperationFunction(node.operation),
+            ) {
+                expressionVisitor(node.left)
+                expressionVisitor(node.right)
             }
 
             else -> buildCall(algebra.binaryOperationFunction(node.operation)) {
-                visit(node.left)
-                visit(node.right)
+                expressionVisitor(node.left)
+                expressionVisitor(node.right)
             }
         }
     }
 
-    return AsmBuilder<T>(type, buildName(this)) { visit(this@compileWith) }.instance
+    return AsmBuilder<T>(
+        type,
+        buildName(this),
+        { variablesVisitor(this@compileWith) },
+        { expressionVisitor(this@compileWith) },
+    ).instance
 }
 
 
diff --git a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/AsmBuilder.kt b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/AsmBuilder.kt
index 418d6141b..4e29c77e0 100644
--- a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/AsmBuilder.kt
+++ b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/AsmBuilder.kt
@@ -10,8 +10,7 @@ import org.objectweb.asm.Opcodes.*
 import org.objectweb.asm.Type.*
 import org.objectweb.asm.commons.InstructionAdapter
 import space.kscience.kmath.asm.internal.AsmBuilder.ClassLoader
-import space.kscience.kmath.expressions.Expression
-import space.kscience.kmath.expressions.MST
+import space.kscience.kmath.expressions.*
 import java.lang.invoke.MethodHandles
 import java.lang.invoke.MethodType
 import java.nio.file.Paths
@@ -26,13 +25,14 @@ import kotlin.io.path.writeBytes
  *
  * @property T the type of AsmExpression to unwrap.
  * @property className the unique class name of new loaded class.
- * @property callbackAtInvokeL0 the function to apply to this object when generating invoke method, label 0.
+ * @property expressionResultCallback the function to apply to this object when generating expression value.
  * @author Iaroslav Postovalov
  */
 internal class AsmBuilder<T>(
     classOfT: Class<*>,
     private val className: String,
-    private val callbackAtInvokeL0: AsmBuilder<T>.() -> Unit,
+    private val variablesPrepareCallback: AsmBuilder<T>.() -> Unit,
+    private val expressionResultCallback: AsmBuilder<T>.() -> Unit,
 ) {
     /**
      * Internal classloader of [AsmBuilder] with alias to define class from byte array.
@@ -66,12 +66,17 @@ internal class AsmBuilder<T>(
      */
     private lateinit var invokeMethodVisitor: InstructionAdapter
 
+    /**
+     * Local variables indices are indices of symbols in this list.
+     */
+    private val argumentsLocals = mutableListOf<String>()
+
     /**
      * Subclasses, loads and instantiates [Expression] for given parameters.
      *
      * The built instance is cached.
      */
-    @Suppress("UNCHECKED_CAST")
+    @Suppress("UNCHECKED_CAST", "UNUSED_VARIABLE")
     val instance: Expression<T> by lazy {
         val hasConstants: Boolean
 
@@ -94,26 +99,28 @@ internal class AsmBuilder<T>(
             ).instructionAdapter {
                 invokeMethodVisitor = this
                 visitCode()
-                val l0 = label()
-                callbackAtInvokeL0()
+                val preparingVariables = label()
+                variablesPrepareCallback()
+                val expressionResult = label()
+                expressionResultCallback()
                 areturn(tType)
-                val l1 = label()
+                val end = label()
 
                 visitLocalVariable(
                     "this",
                     classType.descriptor,
                     null,
-                    l0,
-                    l1,
+                    preparingVariables,
+                    end,
                     0,
                 )
 
                 visitLocalVariable(
                     "arguments",
                     MAP_TYPE.descriptor,
-                    "L${MAP_TYPE.internalName}<${STRING_TYPE.descriptor}+${tType.descriptor}>;",
-                    l0,
-                    l1,
+                    "L${MAP_TYPE.internalName}<${SYMBOL_TYPE.descriptor}+${tType.descriptor}>;",
+                    preparingVariables,
+                    end,
                     1,
                 )
 
@@ -199,7 +206,7 @@ internal class AsmBuilder<T>(
         val binary = classWriter.toByteArray()
         val cls = classLoader.defineClass(className, binary)
 
-        if (System.getProperty("space.kscience.communicator.prettyapi.dump.generated.classes") == "1")
+        if (System.getProperty("space.kscience.kmath.ast.dump.generated.classes") == "1")
             Paths.get("$className.class").writeBytes(binary)
 
         val l = MethodHandles.publicLookup()
@@ -256,9 +263,11 @@ internal class AsmBuilder<T>(
     }
 
     /**
-     * Loads a variable [name] from arguments [Map] parameter of [Expression.invoke].
+     * Stores value variable [name] into a local. Should be called within [variablesPrepareCallback] before using
+     * [loadVariable].
      */
-    fun loadVariable(name: String): Unit = invokeMethodVisitor.run {
+    fun prepareVariable(name: String): Unit = invokeMethodVisitor.run {
+        if (name in argumentsLocals) return@run
         load(1, MAP_TYPE)
         aconst(name)
 
@@ -270,8 +279,22 @@ internal class AsmBuilder<T>(
         )
 
         checkcast(tType)
+        var idx = argumentsLocals.indexOf(name)
+
+        if (idx == -1) {
+            argumentsLocals += name
+            idx = argumentsLocals.lastIndex
+        }
+
+        store(2 + idx, tType)
     }
 
+    /**
+     * Loads a variable [name] from arguments [Map] parameter of [Expression.invoke]. The variable should be stored
+     * with [prepareVariable] first.
+     */
+    fun loadVariable(name: String): Unit = invokeMethodVisitor.load(2 + argumentsLocals.indexOf(name), tType)
+
     inline fun buildCall(function: Function<T>, parameters: AsmBuilder<T>.() -> Unit) {
         contract { callsInPlace(parameters, InvocationKind.EXACTLY_ONCE) }
         val `interface` = function.javaClass.interfaces.first { Function::class.java in it.interfaces }
diff --git a/kmath-core/build.gradle.kts b/kmath-core/build.gradle.kts
index e4436c1df..143e576f7 100644
--- a/kmath-core/build.gradle.kts
+++ b/kmath-core/build.gradle.kts
@@ -5,10 +5,21 @@ plugins {
 //    id("com.xcporter.metaview") version "0.0.5"
 }
 
-kotlin.sourceSets {
-    commonMain {
-        dependencies {
-            api(project(":kmath-memory"))
+kotlin {
+    jvm {
+        compilations.all {
+            kotlinOptions {
+                freeCompilerArgs =
+                    freeCompilerArgs + "-Xjvm-default=all" + "-Xopt-in=kotlin.RequiresOptIn" + "-Xlambdas=indy"
+            }
+        }
+    }
+
+    sourceSets {
+        commonMain {
+            dependencies {
+                api(project(":kmath-memory"))
+            }
         }
     }
 }
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/Expression.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/Expression.kt
index edd020c9a..bd3e6d0ba 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/Expression.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/Expression.kt
@@ -29,7 +29,7 @@ public fun interface Expression<T> {
  *
  * @return a value.
  */
-public operator fun <T> Expression<T>.invoke(): T = invoke(emptyMap())
+public operator fun <T> Expression<T>.invoke(): T = this(emptyMap())
 
 /**
  * Calls this expression from arguments.
@@ -38,7 +38,13 @@ public operator fun <T> Expression<T>.invoke(): T = invoke(emptyMap())
  * @return a value.
  */
 @JvmName("callBySymbol")
-public operator fun <T> Expression<T>.invoke(vararg pairs: Pair<Symbol, T>): T = invoke(mapOf(*pairs))
+public operator fun <T> Expression<T>.invoke(vararg pairs: Pair<Symbol, T>): T = this(
+    when (pairs.size) {
+        0 -> emptyMap()
+        1 -> mapOf(pairs[0])
+        else -> hashMapOf(*pairs)
+    }
+)
 
 /**
  * Calls this expression from arguments.
@@ -47,8 +53,21 @@ public operator fun <T> Expression<T>.invoke(vararg pairs: Pair<Symbol, T>): T =
  * @return a value.
  */
 @JvmName("callByString")
-public operator fun <T> Expression<T>.invoke(vararg pairs: Pair<String, T>): T =
-    invoke(mapOf(*pairs).mapKeys { StringSymbol(it.key) })
+public operator fun <T> Expression<T>.invoke(vararg pairs: Pair<String, T>): T = this(
+    when (pairs.size) {
+        0 -> emptyMap()
+
+        1 -> {
+            val (k, v) = pairs[0]
+            mapOf(StringSymbol(k) to v)
+        }
+
+        else -> hashMapOf(*Array<Pair<Symbol, T>>(pairs.size) {
+            val (k, v) = pairs[it]
+            StringSymbol(k) to v
+        })
+    }
+)
 
 
 /**

From 7b50400de5ad44ee123da699e7b8136130942117 Mon Sep 17 00:00:00 2001
From: Iaroslav Postovalov <postovalovya@gmail.com>
Date: Tue, 16 Nov 2021 14:03:12 +0700
Subject: [PATCH 21/44] Provide specializations of AsmBuilder for Double, Long,
 Int

---
 README.md                                     |  16 +-
 .../ExpressionsInterpretersBenchmark.kt       |  13 +-
 .../space/kscience/kmath/ast/expressions.kt   |   6 +-
 kmath-ast/README.md                           |   6 +-
 kmath-ast/build.gradle.kts                    |   4 +
 .../kmath/ast/TestCompilerOperations.kt       |  24 +
 .../kmath/wasm/internal/WasmBuilder.kt        |  36 +-
 .../kotlin/space/kscience/kmath/wasm/wasm.kt  |  18 -
 .../kotlin/space/kscience/kmath/asm/asm.kt    |  90 +++-
 .../kscience/kmath/asm/internal/AsmBuilder.kt | 356 +--------------
 .../asm/internal/ByteArrayClassLoader.kt      |   1 +
 .../kmath/asm/internal/GenericAsmBuilder.kt   | 325 ++++++++++++++
 .../kmath/asm/internal/PrimitiveAsmBuilder.kt | 411 ++++++++++++++++++
 .../kmath/asm/internal/mapIntrinsics.kt       |   1 +
 .../kotlin/space/kscience/kmath/ast/utils.kt  |  21 +-
 kmath-complex/README.md                       |   6 +-
 kmath-core/README.md                          |   6 +-
 .../kscience/kmath/expressions/Symbol.kt      |   4 +-
 kmath-ejml/README.md                          |   6 +-
 kmath-for-real/README.md                      |   6 +-
 kmath-functions/README.md                     |   6 +-
 kmath-jafama/README.md                        |   6 +-
 kmath-kotlingrad/README.md                    |   6 +-
 kmath-nd4j/README.md                          |   6 +-
 kmath-tensors/README.md                       |   6 +-
 25 files changed, 961 insertions(+), 425 deletions(-)
 create mode 100644 kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/ByteArrayClassLoader.kt
 create mode 100644 kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/GenericAsmBuilder.kt
 create mode 100644 kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/PrimitiveAsmBuilder.kt

diff --git a/README.md b/README.md
index db069d4e0..8604873ae 100644
--- a/README.md
+++ b/README.md
@@ -240,6 +240,12 @@ One can still use generic algebras though.
 > **Maturity**: DEVELOPMENT
 <hr/>
 
+* ### [kmath-multik](kmath-multik)
+> 
+>
+> **Maturity**: PROTOTYPE
+<hr/>
+
 * ### [kmath-nd4j](kmath-nd4j)
 > 
 >
@@ -252,6 +258,12 @@ One can still use generic algebras though.
 
 <hr/>
 
+* ### [kmath-optimization](kmath-optimization)
+> 
+>
+> **Maturity**: EXPERIMENTAL
+<hr/>
+
 * ### [kmath-stat](kmath-stat)
 > 
 >
@@ -319,8 +331,8 @@ repositories {
 }
 
 dependencies {
-    api("space.kscience:kmath-core:0.3.0-dev-14")
-    // api("space.kscience:kmath-core-jvm:0.3.0-dev-14") for jvm-specific version
+    api("space.kscience:kmath-core:0.3.0-dev-17")
+    // api("space.kscience:kmath-core-jvm:0.3.0-dev-17") for jvm-specific version
 }
 ```
 
diff --git a/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/ExpressionsInterpretersBenchmark.kt b/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/ExpressionsInterpretersBenchmark.kt
index b824a0d69..4c6b92248 100644
--- a/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/ExpressionsInterpretersBenchmark.kt
+++ b/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/ExpressionsInterpretersBenchmark.kt
@@ -11,6 +11,7 @@ import kotlinx.benchmark.Scope
 import kotlinx.benchmark.State
 import space.kscience.kmath.asm.compileToExpression
 import space.kscience.kmath.expressions.*
+import space.kscience.kmath.operations.Algebra
 import space.kscience.kmath.operations.DoubleField
 import space.kscience.kmath.operations.bindSymbol
 import space.kscience.kmath.operations.invoke
@@ -35,7 +36,14 @@ internal class ExpressionsInterpretersBenchmark {
      * Benchmark case for [Expression] created with [compileToExpression].
      */
     @Benchmark
-    fun asmExpression(blackhole: Blackhole) = invokeAndSum(asm, blackhole)
+    fun asmGenericExpression(blackhole: Blackhole) = invokeAndSum(asmGeneric, blackhole)
+
+
+    /**
+     * Benchmark case for [Expression] created with [compileToExpression].
+     */
+    @Benchmark
+    fun asmPrimitiveExpression(blackhole: Blackhole) = invokeAndSum(asmPrimitive, blackhole)
 
     /**
      * Benchmark case for [Expression] implemented manually with `kotlin.math` functions.
@@ -87,7 +95,8 @@ internal class ExpressionsInterpretersBenchmark {
         }
 
         private val mst = node.toExpression(DoubleField)
-        private val asm = node.compileToExpression(DoubleField)
+        private val asmPrimitive = node.compileToExpression(DoubleField)
+        private val asmGeneric = node.compileToExpression(DoubleField as Algebra<Double>)
 
         private val raw = Expression<Double> { args ->
             val x = args[x]!!
diff --git a/examples/src/main/kotlin/space/kscience/kmath/ast/expressions.kt b/examples/src/main/kotlin/space/kscience/kmath/ast/expressions.kt
index b37d120fb..3c68f9bb5 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/ast/expressions.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/ast/expressions.kt
@@ -6,15 +6,15 @@
 package space.kscience.kmath.ast
 
 import space.kscience.kmath.asm.compileToExpression
-import space.kscience.kmath.expressions.MstField
+import space.kscience.kmath.expressions.MstExtendedField
 import space.kscience.kmath.expressions.Symbol
 import space.kscience.kmath.expressions.Symbol.Companion.x
 import space.kscience.kmath.operations.DoubleField
 import space.kscience.kmath.operations.invoke
 
 fun main() {
-    val expr = MstField {
-        x * 2.0 + number(2.0) / x - 16.0
+    val expr = MstExtendedField {
+        x * 2.0 + number(2.0) / x - number(16.0) + asinh(x) / sin(x)
     }.compileToExpression(DoubleField)
 
     val m = HashMap<Symbol, Double>()
diff --git a/kmath-ast/README.md b/kmath-ast/README.md
index 686506f6f..5e3366881 100644
--- a/kmath-ast/README.md
+++ b/kmath-ast/README.md
@@ -10,7 +10,7 @@ Performance and visualization extensions to MST API.
 
 ## Artifact:
 
-The Maven coordinates of this project are `space.kscience:kmath-ast:0.3.0-dev-14`.
+The Maven coordinates of this project are `space.kscience:kmath-ast:0.3.0-dev-17`.
 
 **Gradle:**
 ```gradle
@@ -20,7 +20,7 @@ repositories {
 }
 
 dependencies {
-    implementation 'space.kscience:kmath-ast:0.3.0-dev-14'
+    implementation 'space.kscience:kmath-ast:0.3.0-dev-17'
 }
 ```
 **Gradle Kotlin DSL:**
@@ -31,7 +31,7 @@ repositories {
 }
 
 dependencies {
-    implementation("space.kscience:kmath-ast:0.3.0-dev-14")
+    implementation("space.kscience:kmath-ast:0.3.0-dev-17")
 }
 ```
 
diff --git a/kmath-ast/build.gradle.kts b/kmath-ast/build.gradle.kts
index 9de7e9980..586652349 100644
--- a/kmath-ast/build.gradle.kts
+++ b/kmath-ast/build.gradle.kts
@@ -55,6 +55,10 @@ tasks.dokkaHtml {
     dependsOn(tasks.build)
 }
 
+tasks.jvmTest {
+    jvmArgs = (jvmArgs ?: emptyList()) + listOf("-Dspace.kscience.kmath.ast.dump.generated.classes=1")
+}
+
 readme {
     maturity = ru.mipt.npm.gradle.Maturity.EXPERIMENTAL
     propertyByTemplate("artifact", rootProject.file("docs/templates/ARTIFACT-TEMPLATE.md"))
diff --git a/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestCompilerOperations.kt b/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestCompilerOperations.kt
index f5b1e2842..00344410c 100644
--- a/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestCompilerOperations.kt
+++ b/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestCompilerOperations.kt
@@ -44,6 +44,30 @@ internal class TestCompilerOperations {
         assertEquals(1.0, expr(x to 0.0))
     }
 
+    @Test
+    fun testTangent() = runCompilerTest {
+        val expr = MstExtendedField { tan(x) }.compileToExpression(DoubleField)
+        assertEquals(0.0, expr(x to 0.0))
+    }
+
+    @Test
+    fun testArcSine() = runCompilerTest {
+        val expr = MstExtendedField { asin(x) }.compileToExpression(DoubleField)
+        assertEquals(0.0, expr(x to 0.0))
+    }
+
+    @Test
+    fun testArcCosine() = runCompilerTest {
+        val expr = MstExtendedField { acos(x) }.compileToExpression(DoubleField)
+        assertEquals(0.0, expr(x to 1.0))
+    }
+
+    @Test
+    fun testAreaHyperbolicSine() = runCompilerTest {
+        val expr = MstExtendedField { asinh(x) }.compileToExpression(DoubleField)
+        assertEquals(0.0, expr(x to 0.0))
+    }
+
     @Test
     fun testSubtract() = runCompilerTest {
         val expr = MstExtendedField { x - x }.compileToExpression(DoubleField)
diff --git a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/internal/WasmBuilder.kt b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/internal/WasmBuilder.kt
index b04c4d48f..6039d5c27 100644
--- a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/internal/WasmBuilder.kt
+++ b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/internal/WasmBuilder.kt
@@ -18,12 +18,12 @@ import space.kscience.kmath.internal.webassembly.Module as WasmModule
 private val spreader = eval("(obj, args) => obj(...args)")
 
 @Suppress("UnsafeCastFromDynamic")
-internal sealed class WasmBuilder<T>(
-    val binaryenType: Type,
-    val algebra: Algebra<T>,
-    val target: MST,
-) where T : Number {
-    val keys: MutableList<Symbol> = mutableListOf()
+internal sealed class WasmBuilder<T : Number>(
+    protected val binaryenType: Type,
+    protected val algebra: Algebra<T>,
+    protected val target: MST,
+) {
+    protected val keys: MutableList<Symbol> = mutableListOf()
     lateinit var ctx: BinaryenModule
 
     open fun visitSymbolic(mst: Symbol): ExpressionRef {
@@ -41,30 +41,36 @@ internal sealed class WasmBuilder<T>(
 
     abstract fun visitNumeric(mst: Numeric): ExpressionRef
 
-    open fun visitUnary(mst: Unary): ExpressionRef =
+    protected open fun visitUnary(mst: Unary): ExpressionRef =
         error("Unary operation ${mst.operation} not defined in $this")
 
-    open fun visitBinary(mst: Binary): ExpressionRef =
+    protected open fun visitBinary(mst: Binary): ExpressionRef =
         error("Binary operation ${mst.operation} not defined in $this")
 
-    open fun createModule(): BinaryenModule = js("new \$module\$binaryen.Module()")
+    protected open fun createModule(): BinaryenModule = js("new \$module\$binaryen.Module()")
 
-    fun visit(mst: MST): ExpressionRef = when (mst) {
+    protected fun visit(mst: MST): ExpressionRef = when (mst) {
         is Symbol -> visitSymbolic(mst)
         is Numeric -> visitNumeric(mst)
 
         is Unary -> when {
             algebra is NumericAlgebra && mst.value is Numeric -> visitNumeric(
-                Numeric(algebra.unaryOperationFunction(mst.operation)(algebra.number((mst.value as Numeric).value))))
+                Numeric(algebra.unaryOperationFunction(mst.operation)(algebra.number((mst.value as Numeric).value)))
+            )
 
             else -> visitUnary(mst)
         }
 
         is Binary -> when {
-            algebra is NumericAlgebra && mst.left is Numeric && mst.right is Numeric -> visitNumeric(Numeric(
-                algebra.binaryOperationFunction(mst.operation)
-                    .invoke(algebra.number((mst.left as Numeric).value), algebra.number((mst.right as Numeric).value))
-            ))
+            algebra is NumericAlgebra && mst.left is Numeric && mst.right is Numeric -> visitNumeric(
+                Numeric(
+                    algebra.binaryOperationFunction(mst.operation)
+                        .invoke(
+                            algebra.number((mst.left as Numeric).value),
+                            algebra.number((mst.right as Numeric).value)
+                        )
+                )
+            )
 
             else -> visitBinary(mst)
         }
diff --git a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/wasm.kt b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/wasm.kt
index 5b28b8782..393a02e3d 100644
--- a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/wasm.kt
+++ b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/wasm.kt
@@ -16,24 +16,6 @@ import space.kscience.kmath.operations.IntRing
 import space.kscience.kmath.wasm.internal.DoubleWasmBuilder
 import space.kscience.kmath.wasm.internal.IntWasmBuilder
 
-/**
- * Compiles an [MST] to WASM in the context of reals.
- *
- * @author Iaroslav Postovalov
- */
-@UnstableKMathAPI
-public fun DoubleField.expression(mst: MST): Expression<Double> =
-    DoubleWasmBuilder(mst).instance
-
-/**
- * Compiles an [MST] to WASM in the context of integers.
- *
- * @author Iaroslav Postovalov
- */
-@UnstableKMathAPI
-public fun IntRing.expression(mst: MST): Expression<Int> =
-    IntWasmBuilder(mst).instance
-
 /**
  * Create a compiled expression with given [MST] and given [algebra].
  *
diff --git a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/asm.kt b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/asm.kt
index 9a7c4b023..19b400cbd 100644
--- a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/asm.kt
+++ b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/asm.kt
@@ -3,18 +3,18 @@
  * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
  */
 
+@file:Suppress("UNUSED_PARAMETER")
+
 package space.kscience.kmath.asm
 
-import space.kscience.kmath.asm.internal.AsmBuilder
-import space.kscience.kmath.asm.internal.buildName
+import space.kscience.kmath.asm.internal.*
 import space.kscience.kmath.expressions.Expression
 import space.kscience.kmath.expressions.MST
 import space.kscience.kmath.expressions.MST.*
 import space.kscience.kmath.expressions.Symbol
 import space.kscience.kmath.expressions.invoke
-import space.kscience.kmath.operations.Algebra
-import space.kscience.kmath.operations.NumericAlgebra
-import space.kscience.kmath.operations.bindSymbolOrNull
+import space.kscience.kmath.misc.UnstableKMathAPI
+import space.kscience.kmath.operations.*
 
 /**
  * Compiles given MST to an Expression using AST compiler.
@@ -26,7 +26,7 @@ import space.kscience.kmath.operations.bindSymbolOrNull
  */
 @PublishedApi
 internal fun <T : Any> MST.compileWith(type: Class<T>, algebra: Algebra<T>): Expression<T> {
-    fun AsmBuilder<T>.variablesVisitor(node: MST): Unit = when (node) {
+    fun GenericAsmBuilder<T>.variablesVisitor(node: MST): Unit = when (node) {
         is Symbol -> prepareVariable(node.identity)
         is Unary -> variablesVisitor(node.value)
 
@@ -38,7 +38,7 @@ internal fun <T : Any> MST.compileWith(type: Class<T>, algebra: Algebra<T>): Exp
         else -> Unit
     }
 
-    fun AsmBuilder<T>.expressionVisitor(node: MST): Unit = when (node) {
+    fun GenericAsmBuilder<T>.expressionVisitor(node: MST): Unit = when (node) {
         is Symbol -> {
             val symbol = algebra.bindSymbolOrNull(node)
 
@@ -87,7 +87,7 @@ internal fun <T : Any> MST.compileWith(type: Class<T>, algebra: Algebra<T>): Exp
         }
     }
 
-    return AsmBuilder<T>(
+    return GenericAsmBuilder<T>(
         type,
         buildName(this),
         { variablesVisitor(this@compileWith) },
@@ -114,3 +114,77 @@ public inline fun <reified T : Any> MST.compile(algebra: Algebra<T>, arguments:
  */
 public inline fun <reified T : Any> MST.compile(algebra: Algebra<T>, vararg arguments: Pair<Symbol, T>): T =
     compileToExpression(algebra).invoke(*arguments)
+
+
+/**
+ * Create a compiled expression with given [MST] and given [algebra].
+ *
+ * @author Iaroslav Postovalov
+ */
+public fun MST.compileToExpression(algebra: IntRing): Expression<Int> = IntAsmBuilder(this).instance
+
+/**
+ * Compile given MST to expression and evaluate it against [arguments].
+ *
+ * @author Iaroslav Postovalov
+ */
+public fun MST.compile(algebra: IntRing, arguments: Map<Symbol, Int>): Int =
+    compileToExpression(algebra).invoke(arguments)
+
+/**
+ * Compile given MST to expression and evaluate it against [arguments].
+ *
+ * @author Iaroslav Postovalov
+ */
+public fun MST.compile(algebra: IntRing, vararg arguments: Pair<Symbol, Int>): Int =
+    compileToExpression(algebra)(*arguments)
+
+
+/**
+ * Create a compiled expression with given [MST] and given [algebra].
+ *
+ * @author Iaroslav Postovalov
+ */
+public fun MST.compileToExpression(algebra: LongRing): Expression<Long> = LongAsmBuilder(this).instance
+
+
+/**
+ * Compile given MST to expression and evaluate it against [arguments].
+ *
+ * @author Iaroslav Postovalov
+ */
+public fun MST.compile(algebra: LongRing, arguments: Map<Symbol, Long>): Long =
+    compileToExpression(algebra).invoke(arguments)
+
+
+/**
+ * Compile given MST to expression and evaluate it against [arguments].
+ *
+ * @author Iaroslav Postovalov
+ */
+public fun MST.compile(algebra: LongRing, vararg arguments: Pair<Symbol, Long>): Long =
+    compileToExpression(algebra)(*arguments)
+
+
+/**
+ * Create a compiled expression with given [MST] and given [algebra].
+ *
+ * @author Iaroslav Postovalov
+ */
+public fun MST.compileToExpression(algebra: DoubleField): Expression<Double> = DoubleAsmBuilder(this).instance
+
+/**
+ * Compile given MST to expression and evaluate it against [arguments].
+ *
+ * @author Iaroslav Postovalov
+ */
+public fun MST.compile(algebra: DoubleField, arguments: Map<Symbol, Double>): Double =
+    compileToExpression(algebra).invoke(arguments)
+
+/**
+ * Compile given MST to expression and evaluate it against [arguments].
+ *
+ * @author Iaroslav Postovalov
+ */
+public fun MST.compile(algebra: DoubleField, vararg arguments: Pair<Symbol, Double>): Double =
+    compileToExpression(algebra).invoke(*arguments)
diff --git a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/AsmBuilder.kt b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/AsmBuilder.kt
index 4e29c77e0..2a7b3dea9 100644
--- a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/AsmBuilder.kt
+++ b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/AsmBuilder.kt
@@ -1,377 +1,47 @@
-/*
- * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
- */
-
 package space.kscience.kmath.asm.internal
 
-import org.objectweb.asm.*
-import org.objectweb.asm.Opcodes.*
-import org.objectweb.asm.Type.*
-import org.objectweb.asm.commons.InstructionAdapter
-import space.kscience.kmath.asm.internal.AsmBuilder.ClassLoader
-import space.kscience.kmath.expressions.*
-import java.lang.invoke.MethodHandles
-import java.lang.invoke.MethodType
-import java.nio.file.Paths
-import java.util.stream.Collectors.toMap
-import kotlin.contracts.InvocationKind
-import kotlin.contracts.contract
-import kotlin.io.path.writeBytes
+import org.objectweb.asm.Type
+import space.kscience.kmath.expressions.Expression
 
-/**
- * ASM Builder is a structure that abstracts building a class designated to unwrap [MST] to plain Java expression.
- * This class uses [ClassLoader] for loading the generated class, then it is able to instantiate the new class.
- *
- * @property T the type of AsmExpression to unwrap.
- * @property className the unique class name of new loaded class.
- * @property expressionResultCallback the function to apply to this object when generating expression value.
- * @author Iaroslav Postovalov
- */
-internal class AsmBuilder<T>(
-    classOfT: Class<*>,
-    private val className: String,
-    private val variablesPrepareCallback: AsmBuilder<T>.() -> Unit,
-    private val expressionResultCallback: AsmBuilder<T>.() -> Unit,
-) {
+internal abstract class AsmBuilder {
     /**
-     * Internal classloader of [AsmBuilder] with alias to define class from byte array.
+     * Internal classloader with alias to define class from byte array.
      */
-    private class ClassLoader(parent: java.lang.ClassLoader) : java.lang.ClassLoader(parent) {
+    class ByteArrayClassLoader(parent: ClassLoader) : ClassLoader(parent) {
         fun defineClass(name: String?, b: ByteArray): Class<*> = defineClass(name, b, 0, b.size)
     }
 
-    /**
-     * The instance of [ClassLoader] used by this builder.
-     */
-    private val classLoader: ClassLoader = ClassLoader(javaClass.classLoader)
-
-    /**
-     * ASM type for [T].
-     */
-    private val tType: Type = classOfT.asm
-
-    /**
-     * ASM type for new class.
-     */
-    private val classType: Type = getObjectType(className.replace(oldChar = '.', newChar = '/'))
-
-    /**
-     * List of constants to provide to the subclass.
-     */
-    private val constants: MutableList<Any> = mutableListOf()
-
-    /**
-     * Method visitor of `invoke` method of the subclass.
-     */
-    private lateinit var invokeMethodVisitor: InstructionAdapter
-
-    /**
-     * Local variables indices are indices of symbols in this list.
-     */
-    private val argumentsLocals = mutableListOf<String>()
-
-    /**
-     * Subclasses, loads and instantiates [Expression] for given parameters.
-     *
-     * The built instance is cached.
-     */
-    @Suppress("UNCHECKED_CAST", "UNUSED_VARIABLE")
-    val instance: Expression<T> by lazy {
-        val hasConstants: Boolean
-
-        val classWriter = ClassWriter(ClassWriter.COMPUTE_FRAMES) {
-            visit(
-                V1_8,
-                ACC_PUBLIC or ACC_FINAL or ACC_SUPER,
-                classType.internalName,
-                "${OBJECT_TYPE.descriptor}L${EXPRESSION_TYPE.internalName}<${tType.descriptor}>;",
-                OBJECT_TYPE.internalName,
-                arrayOf(EXPRESSION_TYPE.internalName),
-            )
-
-            visitMethod(
-                ACC_PUBLIC or ACC_FINAL,
-                "invoke",
-                getMethodDescriptor(tType, MAP_TYPE),
-                "(L${MAP_TYPE.internalName}<${SYMBOL_TYPE.descriptor}+${tType.descriptor}>;)${tType.descriptor}",
-                null,
-            ).instructionAdapter {
-                invokeMethodVisitor = this
-                visitCode()
-                val preparingVariables = label()
-                variablesPrepareCallback()
-                val expressionResult = label()
-                expressionResultCallback()
-                areturn(tType)
-                val end = label()
-
-                visitLocalVariable(
-                    "this",
-                    classType.descriptor,
-                    null,
-                    preparingVariables,
-                    end,
-                    0,
-                )
-
-                visitLocalVariable(
-                    "arguments",
-                    MAP_TYPE.descriptor,
-                    "L${MAP_TYPE.internalName}<${SYMBOL_TYPE.descriptor}+${tType.descriptor}>;",
-                    preparingVariables,
-                    end,
-                    1,
-                )
-
-                visitMaxs(0, 2)
-                visitEnd()
-            }
-
-            visitMethod(
-                ACC_PUBLIC or ACC_FINAL or ACC_BRIDGE or ACC_SYNTHETIC,
-                "invoke",
-                getMethodDescriptor(OBJECT_TYPE, MAP_TYPE),
-                null,
-                null,
-            ).instructionAdapter {
-                visitCode()
-                val l0 = label()
-                load(0, OBJECT_TYPE)
-                load(1, MAP_TYPE)
-                invokevirtual(classType.internalName, "invoke", getMethodDescriptor(tType, MAP_TYPE), false)
-                areturn(tType)
-                val l1 = label()
-
-                visitLocalVariable(
-                    "this",
-                    classType.descriptor,
-                    null,
-                    l0,
-                    l1,
-                    0,
-                )
-
-                visitMaxs(0, 2)
-                visitEnd()
-            }
-
-            hasConstants = constants.isNotEmpty()
-
-            if (hasConstants)
-                visitField(
-                    access = ACC_PRIVATE or ACC_FINAL,
-                    name = "constants",
-                    descriptor = OBJECT_ARRAY_TYPE.descriptor,
-                    signature = null,
-                    value = null,
-                    block = FieldVisitor::visitEnd,
-                )
-
-            visitMethod(
-                ACC_PUBLIC,
-                "<init>",
-                getMethodDescriptor(VOID_TYPE, *OBJECT_ARRAY_TYPE.wrapToArrayIf { hasConstants }),
-                null,
-                null,
-            ).instructionAdapter {
-                val l0 = label()
-                load(0, classType)
-                invokespecial(OBJECT_TYPE.internalName, "<init>", getMethodDescriptor(VOID_TYPE), false)
-                label()
-                load(0, classType)
-
-                if (hasConstants) {
-                    label()
-                    load(0, classType)
-                    load(1, OBJECT_ARRAY_TYPE)
-                    putfield(classType.internalName, "constants", OBJECT_ARRAY_TYPE.descriptor)
-                }
-
-                label()
-                visitInsn(RETURN)
-                val l4 = label()
-                visitLocalVariable("this", classType.descriptor, null, l0, l4, 0)
-
-                if (hasConstants)
-                    visitLocalVariable("constants", OBJECT_ARRAY_TYPE.descriptor, null, l0, l4, 1)
-
-                visitMaxs(0, 3)
-                visitEnd()
-            }
-
-            visitEnd()
-        }
-
-        val binary = classWriter.toByteArray()
-        val cls = classLoader.defineClass(className, binary)
-
-        if (System.getProperty("space.kscience.kmath.ast.dump.generated.classes") == "1")
-            Paths.get("$className.class").writeBytes(binary)
-
-        val l = MethodHandles.publicLookup()
-
-        (if (hasConstants)
-            l.findConstructor(cls, MethodType.methodType(Void.TYPE, Array<Any>::class.java))(constants.toTypedArray())
-        else
-            l.findConstructor(cls, MethodType.methodType(Void.TYPE))()) as Expression<T>
-    }
-
-    /**
-     * Loads [java.lang.Object] constant from constants.
-     */
-    fun loadObjectConstant(value: Any, type: Type = tType): Unit = invokeMethodVisitor.run {
-        val idx = if (value in constants) constants.indexOf(value) else constants.also { it += value }.lastIndex
-        invokeMethodVisitor.load(0, classType)
-        getfield(classType.internalName, "constants", OBJECT_ARRAY_TYPE.descriptor)
-        iconst(idx)
-        visitInsn(AALOAD)
-        if (type != OBJECT_TYPE) checkcast(type)
-    }
-
-    /**
-     * Either loads a numeric constant [value] from the class's constants field or boxes a primitive
-     * constant from the constant pool.
-     */
-    fun loadNumberConstant(value: Number) {
-        val boxed = value.javaClass.asm
-        val primitive = BOXED_TO_PRIMITIVES[boxed]
-
-        if (primitive != null) {
-            when (primitive) {
-                BYTE_TYPE -> invokeMethodVisitor.iconst(value.toInt())
-                DOUBLE_TYPE -> invokeMethodVisitor.dconst(value.toDouble())
-                FLOAT_TYPE -> invokeMethodVisitor.fconst(value.toFloat())
-                LONG_TYPE -> invokeMethodVisitor.lconst(value.toLong())
-                INT_TYPE -> invokeMethodVisitor.iconst(value.toInt())
-                SHORT_TYPE -> invokeMethodVisitor.iconst(value.toInt())
-            }
-
-            val r = PRIMITIVES_TO_BOXED.getValue(primitive)
-
-            invokeMethodVisitor.invokestatic(
-                r.internalName,
-                "valueOf",
-                getMethodDescriptor(r, primitive),
-                false,
-            )
-
-            return
-        }
-
-        loadObjectConstant(value, boxed)
-    }
-
-    /**
-     * Stores value variable [name] into a local. Should be called within [variablesPrepareCallback] before using
-     * [loadVariable].
-     */
-    fun prepareVariable(name: String): Unit = invokeMethodVisitor.run {
-        if (name in argumentsLocals) return@run
-        load(1, MAP_TYPE)
-        aconst(name)
-
-        invokestatic(
-            MAP_INTRINSICS_TYPE.internalName,
-            "getOrFail",
-            getMethodDescriptor(OBJECT_TYPE, MAP_TYPE, STRING_TYPE),
-            false,
-        )
-
-        checkcast(tType)
-        var idx = argumentsLocals.indexOf(name)
-
-        if (idx == -1) {
-            argumentsLocals += name
-            idx = argumentsLocals.lastIndex
-        }
-
-        store(2 + idx, tType)
-    }
-
-    /**
-     * Loads a variable [name] from arguments [Map] parameter of [Expression.invoke]. The variable should be stored
-     * with [prepareVariable] first.
-     */
-    fun loadVariable(name: String): Unit = invokeMethodVisitor.load(2 + argumentsLocals.indexOf(name), tType)
-
-    inline fun buildCall(function: Function<T>, parameters: AsmBuilder<T>.() -> Unit) {
-        contract { callsInPlace(parameters, InvocationKind.EXACTLY_ONCE) }
-        val `interface` = function.javaClass.interfaces.first { Function::class.java in it.interfaces }
-
-        val arity = `interface`.methods.find { it.name == "invoke" }?.parameterCount
-            ?: error("Provided function object doesn't contain invoke method")
-
-        val type = getType(`interface`)
-        loadObjectConstant(function, type)
-        parameters(this)
-
-        invokeMethodVisitor.invokeinterface(
-            type.internalName,
-            "invoke",
-            getMethodDescriptor(OBJECT_TYPE, *Array(arity) { OBJECT_TYPE }),
-        )
-
-        invokeMethodVisitor.checkcast(tType)
-    }
-
-    companion object {
-        /**
-         * Maps JVM primitive numbers boxed ASM types to their primitive ASM types.
-         */
-        private val BOXED_TO_PRIMITIVES: Map<Type, Type> by lazy {
-            hashMapOf(
-                Byte::class.java.asm to BYTE_TYPE,
-                Short::class.java.asm to SHORT_TYPE,
-                Integer::class.java.asm to INT_TYPE,
-                Long::class.java.asm to LONG_TYPE,
-                Float::class.java.asm to FLOAT_TYPE,
-                Double::class.java.asm to DOUBLE_TYPE,
-            )
-        }
-
-        /**
-         * Maps JVM primitive numbers boxed ASM types to their primitive ASM types.
-         */
-        private val PRIMITIVES_TO_BOXED: Map<Type, Type> by lazy {
-            BOXED_TO_PRIMITIVES.entries.stream().collect(
-                toMap(Map.Entry<Type, Type>::value, Map.Entry<Type, Type>::key),
-            )
-        }
+    protected val classLoader = ByteArrayClassLoader(javaClass.classLoader)
 
+    protected companion object {
         /**
          * ASM type for [Expression].
          */
-        val EXPRESSION_TYPE: Type by lazy { getObjectType("space/kscience/kmath/expressions/Expression") }
+        val EXPRESSION_TYPE: Type by lazy { Type.getObjectType("space/kscience/kmath/expressions/Expression") }
 
         /**
          * ASM type for [java.util.Map].
          */
-        val MAP_TYPE: Type by lazy { getObjectType("java/util/Map") }
+        val MAP_TYPE: Type by lazy { Type.getObjectType("java/util/Map") }
 
         /**
          * ASM type for [java.lang.Object].
          */
-        val OBJECT_TYPE: Type by lazy { getObjectType("java/lang/Object") }
-
-        /**
-         * ASM type for array of [java.lang.Object].
-         */
-        val OBJECT_ARRAY_TYPE: Type by lazy { getType("[Ljava/lang/Object;") }
+        val OBJECT_TYPE: Type by lazy { Type.getObjectType("java/lang/Object") }
 
         /**
          * ASM type for [java.lang.String].
          */
-        val STRING_TYPE: Type by lazy { getObjectType("java/lang/String") }
+        val STRING_TYPE: Type by lazy { Type.getObjectType("java/lang/String") }
 
         /**
          * ASM type for MapIntrinsics.
          */
-        val MAP_INTRINSICS_TYPE: Type by lazy { getObjectType("space/kscience/kmath/asm/internal/MapIntrinsics") }
+        val MAP_INTRINSICS_TYPE: Type by lazy { Type.getObjectType("space/kscience/kmath/asm/internal/MapIntrinsics") }
 
         /**
          * ASM Type for [space.kscience.kmath.expressions.Symbol].
          */
-        val SYMBOL_TYPE: Type by lazy { getObjectType("space/kscience/kmath/expressions/Symbol") }
+        val SYMBOL_TYPE: Type by lazy { Type.getObjectType("space/kscience/kmath/expressions/Symbol") }
     }
 }
diff --git a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/ByteArrayClassLoader.kt b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/ByteArrayClassLoader.kt
new file mode 100644
index 000000000..afff48ef6
--- /dev/null
+++ b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/ByteArrayClassLoader.kt
@@ -0,0 +1 @@
+package space.kscience.kmath.asm.internal
diff --git a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/GenericAsmBuilder.kt b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/GenericAsmBuilder.kt
new file mode 100644
index 000000000..1b45b0625
--- /dev/null
+++ b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/GenericAsmBuilder.kt
@@ -0,0 +1,325 @@
+/*
+ * Copyright 2018-2021 KMath contributors.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ */
+
+package space.kscience.kmath.asm.internal
+
+import org.objectweb.asm.*
+import org.objectweb.asm.Opcodes.*
+import org.objectweb.asm.Type.*
+import org.objectweb.asm.commons.InstructionAdapter
+import space.kscience.kmath.expressions.*
+import java.lang.invoke.MethodHandles
+import java.lang.invoke.MethodType
+import java.nio.file.Paths
+import java.util.stream.Collectors.toMap
+import kotlin.contracts.InvocationKind
+import kotlin.contracts.contract
+import kotlin.io.path.writeBytes
+
+/**
+ * ASM Builder is a structure that abstracts building a class designated to unwrap [MST] to plain Java expression.
+ * This class uses [ClassLoader] for loading the generated class, then it is able to instantiate the new class.
+ *
+ * @property T the type of AsmExpression to unwrap.
+ * @property className the unique class name of new loaded class.
+ * @property expressionResultCallback the function to apply to this object when generating expression value.
+ * @author Iaroslav Postovalov
+ */
+internal class GenericAsmBuilder<T>(
+    classOfT: Class<*>,
+    private val className: String,
+    private val variablesPrepareCallback: GenericAsmBuilder<T>.() -> Unit,
+    private val expressionResultCallback: GenericAsmBuilder<T>.() -> Unit,
+) : AsmBuilder() {
+    /**
+     * ASM type for [T].
+     */
+    private val tType: Type = classOfT.asm
+
+    /**
+     * ASM type for new class.
+     */
+    private val classType: Type = getObjectType(className.replace(oldChar = '.', newChar = '/'))
+
+    /**
+     * List of constants to provide to the subclass.
+     */
+    private val constants = mutableListOf<Any>()
+
+    /**
+     * Method visitor of `invoke` method of the subclass.
+     */
+    private lateinit var invokeMethodVisitor: InstructionAdapter
+
+    /**
+     * Local variables indices are indices of symbols in this list.
+     */
+    private val argumentsLocals = mutableListOf<String>()
+
+    /**
+     * Subclasses, loads and instantiates [Expression] for given parameters.
+     *
+     * The built instance is cached.
+     */
+    @Suppress("UNCHECKED_CAST", "UNUSED_VARIABLE")
+    val instance: Expression<T> by lazy {
+        val hasConstants: Boolean
+
+        val classWriter = ClassWriter(ClassWriter.COMPUTE_FRAMES) {
+            visit(
+                V1_8,
+                ACC_PUBLIC or ACC_FINAL or ACC_SUPER,
+                classType.internalName,
+                "${OBJECT_TYPE.descriptor}L${EXPRESSION_TYPE.internalName}<${tType.descriptor}>;",
+                OBJECT_TYPE.internalName,
+                arrayOf(EXPRESSION_TYPE.internalName),
+            )
+
+            visitMethod(
+                ACC_PUBLIC or ACC_FINAL,
+                "invoke",
+                getMethodDescriptor(tType, MAP_TYPE),
+                "(L${MAP_TYPE.internalName}<${SYMBOL_TYPE.descriptor}+${tType.descriptor}>;)${tType.descriptor}",
+                null,
+            ).instructionAdapter {
+                invokeMethodVisitor = this
+                visitCode()
+                val preparingVariables = label()
+                variablesPrepareCallback()
+                val expressionResult = label()
+                expressionResultCallback()
+                areturn(tType)
+                val end = label()
+
+                visitLocalVariable(
+                    "this",
+                    classType.descriptor,
+                    null,
+                    preparingVariables,
+                    end,
+                    0,
+                )
+
+                visitLocalVariable(
+                    "arguments",
+                    MAP_TYPE.descriptor,
+                    "L${MAP_TYPE.internalName}<${SYMBOL_TYPE.descriptor}+${tType.descriptor}>;",
+                    preparingVariables,
+                    end,
+                    1,
+                )
+
+                visitMaxs(0, 0)
+                visitEnd()
+            }
+
+            visitMethod(
+                ACC_PUBLIC or ACC_FINAL or ACC_BRIDGE or ACC_SYNTHETIC,
+                "invoke",
+                getMethodDescriptor(OBJECT_TYPE, MAP_TYPE),
+                null,
+                null,
+            ).instructionAdapter {
+                visitCode()
+                val start = label()
+                load(0, OBJECT_TYPE)
+                load(1, MAP_TYPE)
+                invokevirtual(classType.internalName, "invoke", getMethodDescriptor(tType, MAP_TYPE), false)
+                areturn(tType)
+                val end = label()
+
+                visitLocalVariable(
+                    "this",
+                    classType.descriptor,
+                    null,
+                    start,
+                    end,
+                    0,
+                )
+
+                visitMaxs(0, 0)
+                visitEnd()
+            }
+
+            hasConstants = constants.isNotEmpty()
+
+            if (hasConstants)
+                visitField(
+                    access = ACC_PRIVATE or ACC_FINAL,
+                    name = "constants",
+                    descriptor = OBJECT_ARRAY_TYPE.descriptor,
+                    signature = null,
+                    value = null,
+                    block = FieldVisitor::visitEnd,
+                )
+
+            visitMethod(
+                ACC_PUBLIC,
+                "<init>",
+                getMethodDescriptor(VOID_TYPE, *OBJECT_ARRAY_TYPE.wrapToArrayIf { hasConstants }),
+                null,
+                null,
+            ).instructionAdapter {
+                val l0 = label()
+                load(0, classType)
+                invokespecial(OBJECT_TYPE.internalName, "<init>", getMethodDescriptor(VOID_TYPE), false)
+                label()
+                load(0, classType)
+
+                if (hasConstants) {
+                    label()
+                    load(0, classType)
+                    load(1, OBJECT_ARRAY_TYPE)
+                    putfield(classType.internalName, "constants", OBJECT_ARRAY_TYPE.descriptor)
+                }
+
+                label()
+                visitInsn(RETURN)
+                val l4 = label()
+                visitLocalVariable("this", classType.descriptor, null, l0, l4, 0)
+
+                if (hasConstants)
+                    visitLocalVariable("constants", OBJECT_ARRAY_TYPE.descriptor, null, l0, l4, 1)
+
+                visitMaxs(0, 0)
+                visitEnd()
+            }
+
+            visitEnd()
+        }
+
+        val binary = classWriter.toByteArray()
+        val cls = classLoader.defineClass(className, binary)
+
+        if (System.getProperty("space.kscience.kmath.ast.dump.generated.classes") == "1")
+            Paths.get("${className.split('.').last()}.class").writeBytes(binary)
+
+        val l = MethodHandles.publicLookup()
+
+        (if (hasConstants)
+            l.findConstructor(cls, MethodType.methodType(Void.TYPE, Array<Any>::class.java))(constants.toTypedArray())
+        else
+            l.findConstructor(cls, MethodType.methodType(Void.TYPE))()) as Expression<T>
+    }
+
+    /**
+     * Loads [java.lang.Object] constant from constants.
+     */
+    fun loadObjectConstant(value: Any, type: Type = tType): Unit = invokeMethodVisitor.run {
+        val idx = if (value in constants) constants.indexOf(value) else constants.also { it += value }.lastIndex
+        invokeMethodVisitor.load(0, classType)
+        getfield(classType.internalName, "constants", OBJECT_ARRAY_TYPE.descriptor)
+        iconst(idx)
+        visitInsn(AALOAD)
+        if (type != OBJECT_TYPE) checkcast(type)
+    }
+
+    /**
+     * Either loads a numeric constant [value] from the class's constants field or boxes a primitive
+     * constant from the constant pool.
+     */
+    fun loadNumberConstant(value: Number) {
+        val boxed = value.javaClass.asm
+        val primitive = BOXED_TO_PRIMITIVES[boxed]
+
+        if (primitive != null) {
+            when (primitive) {
+                BYTE_TYPE -> invokeMethodVisitor.iconst(value.toInt())
+                DOUBLE_TYPE -> invokeMethodVisitor.dconst(value.toDouble())
+                FLOAT_TYPE -> invokeMethodVisitor.fconst(value.toFloat())
+                LONG_TYPE -> invokeMethodVisitor.lconst(value.toLong())
+                INT_TYPE -> invokeMethodVisitor.iconst(value.toInt())
+                SHORT_TYPE -> invokeMethodVisitor.iconst(value.toInt())
+            }
+
+            val r = boxed
+
+            invokeMethodVisitor.invokestatic(
+                r.internalName,
+                "valueOf",
+                getMethodDescriptor(r, primitive),
+                false,
+            )
+
+            return
+        }
+
+        loadObjectConstant(value, boxed)
+    }
+
+    /**
+     * Stores value variable [name] into a local. Should be called within [variablesPrepareCallback] before using
+     * [loadVariable].
+     */
+    fun prepareVariable(name: String): Unit = invokeMethodVisitor.run {
+        if (name in argumentsLocals) return@run
+        load(1, MAP_TYPE)
+        aconst(name)
+
+        invokestatic(
+            MAP_INTRINSICS_TYPE.internalName,
+            "getOrFail",
+            getMethodDescriptor(OBJECT_TYPE, MAP_TYPE, STRING_TYPE),
+            false,
+        )
+
+        checkcast(tType)
+        var idx = argumentsLocals.indexOf(name)
+
+        if (idx == -1) {
+            argumentsLocals += name
+            idx = argumentsLocals.lastIndex
+        }
+
+        store(2 + idx, tType)
+    }
+
+    /**
+     * Loads a variable [name] from arguments [Map] parameter of [Expression.invoke]. The variable should be stored
+     * with [prepareVariable] first.
+     */
+    fun loadVariable(name: String): Unit = invokeMethodVisitor.load(2 + argumentsLocals.indexOf(name), tType)
+
+    inline fun buildCall(function: Function<T>, parameters: GenericAsmBuilder<T>.() -> Unit) {
+        contract { callsInPlace(parameters, InvocationKind.EXACTLY_ONCE) }
+        val `interface` = function.javaClass.interfaces.first { Function::class.java in it.interfaces }
+
+        val arity = `interface`.methods.find { it.name == "invoke" }?.parameterCount
+            ?: error("Provided function object doesn't contain invoke method")
+
+        val type = getType(`interface`)
+        loadObjectConstant(function, type)
+        parameters(this)
+
+        invokeMethodVisitor.invokeinterface(
+            type.internalName,
+            "invoke",
+            getMethodDescriptor(OBJECT_TYPE, *Array(arity) { OBJECT_TYPE }),
+        )
+
+        invokeMethodVisitor.checkcast(tType)
+    }
+
+    private companion object {
+        /**
+         * Maps JVM primitive numbers boxed ASM types to their primitive ASM types.
+         */
+        private val BOXED_TO_PRIMITIVES: Map<Type, Type> by lazy {
+            hashMapOf(
+                Byte::class.java.asm to BYTE_TYPE,
+                Short::class.java.asm to SHORT_TYPE,
+                Integer::class.java.asm to INT_TYPE,
+                Long::class.java.asm to LONG_TYPE,
+                Float::class.java.asm to FLOAT_TYPE,
+                Double::class.java.asm to DOUBLE_TYPE,
+            )
+        }
+
+        /**
+         * ASM type for array of [java.lang.Object].
+         */
+        val OBJECT_ARRAY_TYPE: Type by lazy { getType("[Ljava/lang/Object;") }
+    }
+}
diff --git a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/PrimitiveAsmBuilder.kt b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/PrimitiveAsmBuilder.kt
new file mode 100644
index 000000000..2819368ed
--- /dev/null
+++ b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/PrimitiveAsmBuilder.kt
@@ -0,0 +1,411 @@
+package space.kscience.kmath.asm.internal
+
+import org.objectweb.asm.ClassWriter
+import org.objectweb.asm.Opcodes
+import org.objectweb.asm.Type
+import org.objectweb.asm.Type.*
+import org.objectweb.asm.commons.InstructionAdapter
+import space.kscience.kmath.expressions.Expression
+import space.kscience.kmath.expressions.MST
+import space.kscience.kmath.expressions.Symbol
+import space.kscience.kmath.expressions.invoke
+import space.kscience.kmath.operations.*
+import java.lang.invoke.MethodHandles
+import java.lang.invoke.MethodType
+import java.nio.file.Paths
+import kotlin.io.path.writeBytes
+
+internal sealed class PrimitiveAsmBuilder<T : Number>(
+    protected val algebra: Algebra<T>,
+    classOfT: Class<*>,
+    protected val classOfTPrimitive: Class<*>,
+    protected val target: MST,
+) : AsmBuilder() {
+    private val className: String = buildName(target)
+
+    /**
+     * ASM type for [T].
+     */
+    private val tType: Type = classOfT.asm
+
+    /**
+     * ASM type for [T].
+     */
+    protected val tTypePrimitive: Type = classOfTPrimitive.asm
+
+    /**
+     * ASM type for new class.
+     */
+    private val classType: Type = getObjectType(className.replace(oldChar = '.', newChar = '/'))
+
+    /**
+     * Method visitor of `invoke` method of the subclass.
+     */
+    protected lateinit var invokeMethodVisitor: InstructionAdapter
+
+    /**
+     * Local variables indices are indices of symbols in this list.
+     */
+    private val argumentsLocals = mutableListOf<String>()
+
+    /**
+     * Subclasses, loads and instantiates [Expression] for given parameters.
+     *
+     * The built instance is cached.
+     */
+    @Suppress("UNCHECKED_CAST", "UNUSED_VARIABLE")
+    val instance: Expression<T> by lazy {
+        val classWriter = ClassWriter(ClassWriter.COMPUTE_FRAMES) {
+            visit(
+                Opcodes.V1_8,
+                Opcodes.ACC_PUBLIC or Opcodes.ACC_FINAL or Opcodes.ACC_SUPER,
+                classType.internalName,
+                "${OBJECT_TYPE.descriptor}L${EXPRESSION_TYPE.internalName}<${tType.descriptor}>;",
+                OBJECT_TYPE.internalName,
+                arrayOf(EXPRESSION_TYPE.internalName),
+            )
+
+            visitMethod(
+                Opcodes.ACC_PUBLIC or Opcodes.ACC_FINAL,
+                "invoke",
+                getMethodDescriptor(tType, MAP_TYPE),
+                "(L${MAP_TYPE.internalName}<${SYMBOL_TYPE.descriptor}+${tType.descriptor}>;)${tType.descriptor}",
+                null,
+            ).instructionAdapter {
+                invokeMethodVisitor = this
+                visitCode()
+                val preparingVariables = label()
+                visitVariables(target)
+                val expressionResult = label()
+                visitExpression(target)
+                box()
+                areturn(tType)
+                val end = label()
+
+                visitLocalVariable(
+                    "this",
+                    classType.descriptor,
+                    null,
+                    preparingVariables,
+                    end,
+                    0,
+                )
+
+                visitLocalVariable(
+                    "arguments",
+                    MAP_TYPE.descriptor,
+                    "L${MAP_TYPE.internalName}<${SYMBOL_TYPE.descriptor}+${tType.descriptor}>;",
+                    preparingVariables,
+                    end,
+                    1,
+                )
+
+                visitMaxs(0, 0)
+                visitEnd()
+            }
+
+            visitMethod(
+                Opcodes.ACC_PUBLIC or Opcodes.ACC_FINAL or Opcodes.ACC_BRIDGE or Opcodes.ACC_SYNTHETIC,
+                "invoke",
+                getMethodDescriptor(OBJECT_TYPE, MAP_TYPE),
+                null,
+                null,
+            ).instructionAdapter {
+                visitCode()
+                val start = label()
+                load(0, OBJECT_TYPE)
+                load(1, MAP_TYPE)
+                invokevirtual(classType.internalName, "invoke", getMethodDescriptor(tType, MAP_TYPE), false)
+                areturn(tType)
+                val end = label()
+
+                visitLocalVariable(
+                    "this",
+                    classType.descriptor,
+                    null,
+                    start,
+                    end,
+                    0,
+                )
+
+                visitMaxs(0, 0)
+                visitEnd()
+            }
+
+            visitMethod(
+                Opcodes.ACC_PUBLIC,
+                "<init>",
+                getMethodDescriptor(VOID_TYPE),
+                null,
+                null,
+            ).instructionAdapter {
+                val start = label()
+                load(0, classType)
+                invokespecial(OBJECT_TYPE.internalName, "<init>", getMethodDescriptor(VOID_TYPE), false)
+                label()
+                load(0, classType)
+                label()
+                visitInsn(Opcodes.RETURN)
+                val end = label()
+                visitLocalVariable("this", classType.descriptor, null, start, end, 0)
+                visitMaxs(0, 0)
+                visitEnd()
+            }
+
+            visitEnd()
+        }
+
+        val binary = classWriter.toByteArray()
+        val cls = classLoader.defineClass(className, binary)
+
+        if (System.getProperty("space.kscience.kmath.ast.dump.generated.classes") == "1")
+            Paths.get("${className.split('.').last()}.class").writeBytes(binary)
+
+        MethodHandles.publicLookup().findConstructor(cls, MethodType.methodType(Void.TYPE))() as Expression<T>
+    }
+
+    /**
+     * Either loads a numeric constant [value] from the class's constants field or boxes a primitive
+     * constant from the constant pool.
+     */
+    fun loadNumberConstant(value: Number) {
+        when (tTypePrimitive) {
+            BYTE_TYPE -> invokeMethodVisitor.iconst(value.toInt())
+            DOUBLE_TYPE -> invokeMethodVisitor.dconst(value.toDouble())
+            FLOAT_TYPE -> invokeMethodVisitor.fconst(value.toFloat())
+            LONG_TYPE -> invokeMethodVisitor.lconst(value.toLong())
+            INT_TYPE -> invokeMethodVisitor.iconst(value.toInt())
+            SHORT_TYPE -> invokeMethodVisitor.iconst(value.toInt())
+        }
+    }
+
+    /**
+     * Stores value variable [name] into a local. Should be called within [variablesPrepareCallback] before using
+     * [loadVariable].
+     */
+    fun prepareVariable(name: String): Unit = invokeMethodVisitor.run {
+        if (name in argumentsLocals) return@run
+        load(1, MAP_TYPE)
+        aconst(name)
+
+        invokestatic(
+            MAP_INTRINSICS_TYPE.internalName,
+            "getOrFail",
+            getMethodDescriptor(OBJECT_TYPE, MAP_TYPE, STRING_TYPE),
+            false,
+        )
+
+        checkcast(tType)
+        var idx = argumentsLocals.indexOf(name)
+
+        if (idx == -1) {
+            argumentsLocals += name
+            idx = argumentsLocals.lastIndex
+        }
+
+        unbox()
+        store(2 + idx, tTypePrimitive)
+    }
+
+    /**
+     * Loads a variable [name] from arguments [Map] parameter of [Expression.invoke]. The variable should be stored
+     * with [prepareVariable] first.
+     */
+    fun loadVariable(name: String): Unit = invokeMethodVisitor.load(2 + argumentsLocals.indexOf(name), tTypePrimitive)
+
+    private fun unbox() = invokeMethodVisitor.run {
+        invokevirtual(
+            NUMBER_TYPE.internalName,
+            "${classOfTPrimitive.simpleName}Value",
+            getMethodDescriptor(tTypePrimitive),
+            false
+        )
+    }
+
+    private fun box() = invokeMethodVisitor.run {
+        invokestatic(tType.internalName, "valueOf", getMethodDescriptor(tType, tTypePrimitive), false)
+    }
+
+    protected fun visitVariables(node: MST): Unit = when (node) {
+        is Symbol -> prepareVariable(node.identity)
+        is MST.Unary -> visitVariables(node.value)
+
+        is MST.Binary -> {
+            visitVariables(node.left)
+            visitVariables(node.right)
+        }
+
+        else -> Unit
+    }
+
+    protected fun visitExpression(mst: MST): Unit = when (mst) {
+        is Symbol -> loadVariable(mst.identity)
+        is MST.Numeric -> loadNumberConstant(mst.value)
+
+        is MST.Unary -> when {
+            algebra is NumericAlgebra && mst.value is MST.Numeric -> {
+                loadNumberConstant(
+                    MST.Numeric(
+                        algebra.unaryOperationFunction(mst.operation)(algebra.number((mst.value as MST.Numeric).value)),
+                    ).value,
+                )
+            }
+
+            else -> visitUnary(mst)
+        }
+
+        is MST.Binary -> when {
+            algebra is NumericAlgebra && mst.left is MST.Numeric && mst.right is MST.Numeric -> {
+                loadNumberConstant(
+                    MST.Numeric(
+                        algebra.binaryOperationFunction(mst.operation)(
+                            algebra.number((mst.left as MST.Numeric).value),
+                            algebra.number((mst.right as MST.Numeric).value),
+                        ),
+                    ).value,
+                )
+            }
+
+            else -> visitBinary(mst)
+        }
+    }
+
+    protected open fun visitUnary(mst: MST.Unary) {
+        visitExpression(mst.value)
+    }
+
+    protected open fun visitBinary(mst: MST.Binary) {
+        visitExpression(mst.left)
+        visitExpression(mst.right)
+    }
+
+    protected companion object {
+        /**
+         * ASM type for [java.lang.Number].
+         */
+        val NUMBER_TYPE: Type by lazy { getObjectType("java/lang/Number") }
+    }
+}
+
+internal class DoubleAsmBuilder(target: MST) :
+    PrimitiveAsmBuilder<Double>(DoubleField, java.lang.Double::class.java, java.lang.Double.TYPE, target) {
+
+    private fun buildUnaryJavaMathCall(name: String) {
+        invokeMethodVisitor.invokestatic(
+            MATH_TYPE.internalName,
+            name,
+            getMethodDescriptor(tTypePrimitive, tTypePrimitive),
+            false,
+        )
+    }
+
+    private fun buildBinaryJavaMathCall(name: String) {
+        invokeMethodVisitor.invokestatic(
+            MATH_TYPE.internalName,
+            name,
+            getMethodDescriptor(tTypePrimitive, tTypePrimitive, tTypePrimitive),
+            false,
+        )
+    }
+
+    private fun buildUnaryKotlinMathCall(name: String) {
+        invokeMethodVisitor.invokestatic(
+            MATH_KT_TYPE.internalName,
+            name,
+            getMethodDescriptor(tTypePrimitive, tTypePrimitive),
+            false,
+        )
+    }
+
+    override fun visitUnary(mst: MST.Unary) {
+        super.visitUnary(mst)
+
+        when (mst.operation) {
+            GroupOps.MINUS_OPERATION -> invokeMethodVisitor.visitInsn(Opcodes.DNEG)
+            GroupOps.PLUS_OPERATION -> Unit
+            PowerOperations.SQRT_OPERATION -> buildUnaryJavaMathCall("sqrt")
+            TrigonometricOperations.SIN_OPERATION -> buildUnaryJavaMathCall("sin")
+            TrigonometricOperations.COS_OPERATION -> buildUnaryJavaMathCall("cos")
+            TrigonometricOperations.TAN_OPERATION -> buildUnaryJavaMathCall("tan")
+            TrigonometricOperations.ASIN_OPERATION -> buildUnaryJavaMathCall("asin")
+            TrigonometricOperations.ACOS_OPERATION -> buildUnaryJavaMathCall("acos")
+            TrigonometricOperations.ATAN_OPERATION -> buildUnaryJavaMathCall("atan")
+            ExponentialOperations.SINH_OPERATION -> buildUnaryJavaMathCall("sqrt")
+            ExponentialOperations.COSH_OPERATION -> buildUnaryJavaMathCall("cosh")
+            ExponentialOperations.TANH_OPERATION -> buildUnaryJavaMathCall("tanh")
+            ExponentialOperations.ASINH_OPERATION -> buildUnaryKotlinMathCall("asinh")
+            ExponentialOperations.ACOSH_OPERATION -> buildUnaryKotlinMathCall("acosh")
+            ExponentialOperations.ATANH_OPERATION -> buildUnaryKotlinMathCall("atanh")
+            ExponentialOperations.EXP_OPERATION -> buildUnaryJavaMathCall("exp")
+            ExponentialOperations.LN_OPERATION -> buildUnaryJavaMathCall("log")
+            else -> super.visitUnary(mst)
+        }
+    }
+
+    override fun visitBinary(mst: MST.Binary) {
+        super.visitBinary(mst)
+
+        when (mst.operation) {
+            GroupOps.PLUS_OPERATION -> invokeMethodVisitor.visitInsn(Opcodes.DADD)
+            GroupOps.MINUS_OPERATION -> invokeMethodVisitor.visitInsn(Opcodes.DSUB)
+            RingOps.TIMES_OPERATION -> invokeMethodVisitor.visitInsn(Opcodes.DMUL)
+            FieldOps.DIV_OPERATION -> invokeMethodVisitor.visitInsn(Opcodes.DDIV)
+            PowerOperations.POW_OPERATION -> buildBinaryJavaMathCall("pow")
+            else -> super.visitBinary(mst)
+        }
+    }
+
+    companion object {
+        val MATH_TYPE: Type by lazy { getObjectType("java/lang/Math") }
+        val MATH_KT_TYPE: Type by lazy { getObjectType("kotlin/math/MathKt") }
+    }
+}
+
+internal class IntAsmBuilder(target: MST) :
+    PrimitiveAsmBuilder<Int>(IntRing, Integer::class.java, Integer.TYPE, target) {
+    override fun visitUnary(mst: MST.Unary) {
+        super.visitUnary(mst)
+
+        when (mst.operation) {
+            GroupOps.MINUS_OPERATION -> invokeMethodVisitor.visitInsn(Opcodes.INEG)
+            GroupOps.PLUS_OPERATION -> Unit
+            else -> super.visitUnary(mst)
+        }
+    }
+
+    override fun visitBinary(mst: MST.Binary) {
+        super.visitBinary(mst)
+
+        when (mst.operation) {
+            GroupOps.PLUS_OPERATION -> invokeMethodVisitor.visitInsn(Opcodes.IADD)
+            GroupOps.MINUS_OPERATION -> invokeMethodVisitor.visitInsn(Opcodes.ISUB)
+            RingOps.TIMES_OPERATION -> invokeMethodVisitor.visitInsn(Opcodes.IMUL)
+            else -> super.visitBinary(mst)
+        }
+    }
+}
+
+internal class LongAsmBuilder(target: MST) :
+    PrimitiveAsmBuilder<Long>(LongRing, java.lang.Long::class.java, java.lang.Long.TYPE, target) {
+    override fun visitUnary(mst: MST.Unary) {
+        super.visitUnary(mst)
+
+        when (mst.operation) {
+            GroupOps.MINUS_OPERATION -> invokeMethodVisitor.visitInsn(Opcodes.LNEG)
+            GroupOps.PLUS_OPERATION -> Unit
+            else -> super.visitUnary(mst)
+        }
+    }
+
+    override fun visitBinary(mst: MST.Binary) {
+        super.visitBinary(mst)
+
+        when (mst.operation) {
+            GroupOps.PLUS_OPERATION -> invokeMethodVisitor.visitInsn(Opcodes.LADD)
+            GroupOps.MINUS_OPERATION -> invokeMethodVisitor.visitInsn(Opcodes.LSUB)
+            RingOps.TIMES_OPERATION -> invokeMethodVisitor.visitInsn(Opcodes.LMUL)
+            else -> super.visitBinary(mst)
+        }
+    }
+}
+
diff --git a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/mapIntrinsics.kt b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/mapIntrinsics.kt
index 40d9d8fe6..b8a2a9669 100644
--- a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/mapIntrinsics.kt
+++ b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/mapIntrinsics.kt
@@ -14,4 +14,5 @@ import space.kscience.kmath.expressions.Symbol
  *
  * @author Iaroslav Postovalov
  */
+@Suppress("unused")
 internal fun <V> Map<Symbol, V>.getOrFail(key: String): V = getValue(Symbol(key))
diff --git a/kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/ast/utils.kt b/kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/ast/utils.kt
index a0bdd68a0..1ea4cd0be 100644
--- a/kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/ast/utils.kt
+++ b/kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/ast/utils.kt
@@ -8,6 +8,7 @@ package space.kscience.kmath.ast
 import space.kscience.kmath.expressions.Expression
 import space.kscience.kmath.expressions.MST
 import space.kscience.kmath.expressions.Symbol
+import space.kscience.kmath.operations.Algebra
 import space.kscience.kmath.operations.DoubleField
 import space.kscience.kmath.operations.IntRing
 import kotlin.contracts.InvocationKind
@@ -15,7 +16,21 @@ import kotlin.contracts.contract
 import space.kscience.kmath.asm.compile as asmCompile
 import space.kscience.kmath.asm.compileToExpression as asmCompileToExpression
 
-private object AsmCompilerTestContext : CompilerTestContext {
+private object GenericAsmCompilerTestContext : CompilerTestContext {
+    override fun MST.compileToExpression(algebra: IntRing): Expression<Int> =
+        asmCompileToExpression(algebra as Algebra<Int>)
+
+    override fun MST.compile(algebra: IntRing, arguments: Map<Symbol, Int>): Int =
+        asmCompile(algebra as Algebra<Int>, arguments)
+
+    override fun MST.compileToExpression(algebra: DoubleField): Expression<Double> =
+        asmCompileToExpression(algebra as Algebra<Double>)
+
+    override fun MST.compile(algebra: DoubleField, arguments: Map<Symbol, Double>): Double =
+        asmCompile(algebra as Algebra<Double>, arguments)
+}
+
+private object PrimitiveAsmCompilerTestContext : CompilerTestContext {
     override fun MST.compileToExpression(algebra: IntRing): Expression<Int> = asmCompileToExpression(algebra)
     override fun MST.compile(algebra: IntRing, arguments: Map<Symbol, Int>): Int = asmCompile(algebra, arguments)
     override fun MST.compileToExpression(algebra: DoubleField): Expression<Double> = asmCompileToExpression(algebra)
@@ -24,7 +39,9 @@ private object AsmCompilerTestContext : CompilerTestContext {
         asmCompile(algebra, arguments)
 }
 
+
 internal actual inline fun runCompilerTest(action: CompilerTestContext.() -> Unit) {
     contract { callsInPlace(action, InvocationKind.EXACTLY_ONCE) }
-    action(AsmCompilerTestContext)
+    action(GenericAsmCompilerTestContext)
+    action(PrimitiveAsmCompilerTestContext)
 }
diff --git a/kmath-complex/README.md b/kmath-complex/README.md
index 110529b72..92f2435ba 100644
--- a/kmath-complex/README.md
+++ b/kmath-complex/README.md
@@ -8,7 +8,7 @@ Complex and hypercomplex number systems in KMath.
 
 ## Artifact:
 
-The Maven coordinates of this project are `space.kscience:kmath-complex:0.3.0-dev-14`.
+The Maven coordinates of this project are `space.kscience:kmath-complex:0.3.0-dev-17`.
 
 **Gradle:**
 ```gradle
@@ -18,7 +18,7 @@ repositories {
 }
 
 dependencies {
-    implementation 'space.kscience:kmath-complex:0.3.0-dev-14'
+    implementation 'space.kscience:kmath-complex:0.3.0-dev-17'
 }
 ```
 **Gradle Kotlin DSL:**
@@ -29,6 +29,6 @@ repositories {
 }
 
 dependencies {
-    implementation("space.kscience:kmath-complex:0.3.0-dev-14")
+    implementation("space.kscience:kmath-complex:0.3.0-dev-17")
 }
 ```
diff --git a/kmath-core/README.md b/kmath-core/README.md
index 4ea493f44..e765ad50c 100644
--- a/kmath-core/README.md
+++ b/kmath-core/README.md
@@ -15,7 +15,7 @@ performance calculations to code generation.
 
 ## Artifact:
 
-The Maven coordinates of this project are `space.kscience:kmath-core:0.3.0-dev-14`.
+The Maven coordinates of this project are `space.kscience:kmath-core:0.3.0-dev-17`.
 
 **Gradle:**
 ```gradle
@@ -25,7 +25,7 @@ repositories {
 }
 
 dependencies {
-    implementation 'space.kscience:kmath-core:0.3.0-dev-14'
+    implementation 'space.kscience:kmath-core:0.3.0-dev-17'
 }
 ```
 **Gradle Kotlin DSL:**
@@ -36,6 +36,6 @@ repositories {
 }
 
 dependencies {
-    implementation("space.kscience:kmath-core:0.3.0-dev-14")
+    implementation("space.kscience:kmath-core:0.3.0-dev-17")
 }
 ```
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/Symbol.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/Symbol.kt
index cd49e4519..fcfd57e82 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/Symbol.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/Symbol.kt
@@ -9,8 +9,8 @@ import kotlin.jvm.JvmInline
 import kotlin.properties.ReadOnlyProperty
 
 /**
- * A marker interface for a symbol. A symbol must have an identity.
- * Ic
+ * A marker interface for a symbol. A symbol must have an identity with equality relation based on it.
+ * Other properties are to store additional, transient data only.
  */
 public interface Symbol : MST {
     /**
diff --git a/kmath-ejml/README.md b/kmath-ejml/README.md
index f88f53000..fcd092bf1 100644
--- a/kmath-ejml/README.md
+++ b/kmath-ejml/README.md
@@ -9,7 +9,7 @@ EJML based linear algebra implementation.
 
 ## Artifact:
 
-The Maven coordinates of this project are `space.kscience:kmath-ejml:0.3.0-dev-14`.
+The Maven coordinates of this project are `space.kscience:kmath-ejml:0.3.0-dev-17`.
 
 **Gradle:**
 ```gradle
@@ -19,7 +19,7 @@ repositories {
 }
 
 dependencies {
-    implementation 'space.kscience:kmath-ejml:0.3.0-dev-14'
+    implementation 'space.kscience:kmath-ejml:0.3.0-dev-17'
 }
 ```
 **Gradle Kotlin DSL:**
@@ -30,6 +30,6 @@ repositories {
 }
 
 dependencies {
-    implementation("space.kscience:kmath-ejml:0.3.0-dev-14")
+    implementation("space.kscience:kmath-ejml:0.3.0-dev-17")
 }
 ```
diff --git a/kmath-for-real/README.md b/kmath-for-real/README.md
index d449b4540..938327612 100644
--- a/kmath-for-real/README.md
+++ b/kmath-for-real/README.md
@@ -9,7 +9,7 @@ Specialization of KMath APIs for Double numbers.
 
 ## Artifact:
 
-The Maven coordinates of this project are `space.kscience:kmath-for-real:0.3.0-dev-14`.
+The Maven coordinates of this project are `space.kscience:kmath-for-real:0.3.0-dev-17`.
 
 **Gradle:**
 ```gradle
@@ -19,7 +19,7 @@ repositories {
 }
 
 dependencies {
-    implementation 'space.kscience:kmath-for-real:0.3.0-dev-14'
+    implementation 'space.kscience:kmath-for-real:0.3.0-dev-17'
 }
 ```
 **Gradle Kotlin DSL:**
@@ -30,6 +30,6 @@ repositories {
 }
 
 dependencies {
-    implementation("space.kscience:kmath-for-real:0.3.0-dev-14")
+    implementation("space.kscience:kmath-for-real:0.3.0-dev-17")
 }
 ```
diff --git a/kmath-functions/README.md b/kmath-functions/README.md
index d0beae2c8..3d4beee47 100644
--- a/kmath-functions/README.md
+++ b/kmath-functions/README.md
@@ -11,7 +11,7 @@ Functions and interpolations.
 
 ## Artifact:
 
-The Maven coordinates of this project are `space.kscience:kmath-functions:0.3.0-dev-14`.
+The Maven coordinates of this project are `space.kscience:kmath-functions:0.3.0-dev-17`.
 
 **Gradle:**
 ```gradle
@@ -21,7 +21,7 @@ repositories {
 }
 
 dependencies {
-    implementation 'space.kscience:kmath-functions:0.3.0-dev-14'
+    implementation 'space.kscience:kmath-functions:0.3.0-dev-17'
 }
 ```
 **Gradle Kotlin DSL:**
@@ -32,6 +32,6 @@ repositories {
 }
 
 dependencies {
-    implementation("space.kscience:kmath-functions:0.3.0-dev-14")
+    implementation("space.kscience:kmath-functions:0.3.0-dev-17")
 }
 ```
diff --git a/kmath-jafama/README.md b/kmath-jafama/README.md
index 3c5d4e19d..760244751 100644
--- a/kmath-jafama/README.md
+++ b/kmath-jafama/README.md
@@ -7,7 +7,7 @@ Integration with [Jafama](https://github.com/jeffhain/jafama).
 
 ## Artifact:
 
-The Maven coordinates of this project are `space.kscience:kmath-jafama:0.3.0-dev-14`.
+The Maven coordinates of this project are `space.kscience:kmath-jafama:0.3.0-dev-17`.
 
 **Gradle:**
 ```gradle
@@ -17,7 +17,7 @@ repositories {
 }
 
 dependencies {
-    implementation 'space.kscience:kmath-jafama:0.3.0-dev-14'
+    implementation 'space.kscience:kmath-jafama:0.3.0-dev-17'
 }
 ```
 **Gradle Kotlin DSL:**
@@ -28,7 +28,7 @@ repositories {
 }
 
 dependencies {
-    implementation("space.kscience:kmath-jafama:0.3.0-dev-14")
+    implementation("space.kscience:kmath-jafama:0.3.0-dev-17")
 }
 ```
 
diff --git a/kmath-kotlingrad/README.md b/kmath-kotlingrad/README.md
index aeb44ea13..588ccb9b4 100644
--- a/kmath-kotlingrad/README.md
+++ b/kmath-kotlingrad/README.md
@@ -8,7 +8,7 @@
 
 ## Artifact:
 
-The Maven coordinates of this project are `space.kscience:kmath-kotlingrad:0.3.0-dev-14`.
+The Maven coordinates of this project are `space.kscience:kmath-kotlingrad:0.3.0-dev-17`.
 
 **Gradle:**
 ```gradle
@@ -18,7 +18,7 @@ repositories {
 }
 
 dependencies {
-    implementation 'space.kscience:kmath-kotlingrad:0.3.0-dev-14'
+    implementation 'space.kscience:kmath-kotlingrad:0.3.0-dev-17'
 }
 ```
 **Gradle Kotlin DSL:**
@@ -29,6 +29,6 @@ repositories {
 }
 
 dependencies {
-    implementation("space.kscience:kmath-kotlingrad:0.3.0-dev-14")
+    implementation("space.kscience:kmath-kotlingrad:0.3.0-dev-17")
 }
 ```
diff --git a/kmath-nd4j/README.md b/kmath-nd4j/README.md
index 5cbb31d5a..7ca9cd4fd 100644
--- a/kmath-nd4j/README.md
+++ b/kmath-nd4j/README.md
@@ -9,7 +9,7 @@ ND4J based implementations of KMath abstractions.
 
 ## Artifact:
 
-The Maven coordinates of this project are `space.kscience:kmath-nd4j:0.3.0-dev-14`.
+The Maven coordinates of this project are `space.kscience:kmath-nd4j:0.3.0-dev-17`.
 
 **Gradle:**
 ```gradle
@@ -19,7 +19,7 @@ repositories {
 }
 
 dependencies {
-    implementation 'space.kscience:kmath-nd4j:0.3.0-dev-14'
+    implementation 'space.kscience:kmath-nd4j:0.3.0-dev-17'
 }
 ```
 **Gradle Kotlin DSL:**
@@ -30,7 +30,7 @@ repositories {
 }
 
 dependencies {
-    implementation("space.kscience:kmath-nd4j:0.3.0-dev-14")
+    implementation("space.kscience:kmath-nd4j:0.3.0-dev-17")
 }
 ```
 
diff --git a/kmath-tensors/README.md b/kmath-tensors/README.md
index b19a55381..42ce91336 100644
--- a/kmath-tensors/README.md
+++ b/kmath-tensors/README.md
@@ -9,7 +9,7 @@ Common linear algebra operations on tensors.
 
 ## Artifact:
 
-The Maven coordinates of this project are `space.kscience:kmath-tensors:0.3.0-dev-14`.
+The Maven coordinates of this project are `space.kscience:kmath-tensors:0.3.0-dev-17`.
 
 **Gradle:**
 ```gradle
@@ -19,7 +19,7 @@ repositories {
 }
 
 dependencies {
-    implementation 'space.kscience:kmath-tensors:0.3.0-dev-14'
+    implementation 'space.kscience:kmath-tensors:0.3.0-dev-17'
 }
 ```
 **Gradle Kotlin DSL:**
@@ -30,6 +30,6 @@ repositories {
 }
 
 dependencies {
-    implementation("space.kscience:kmath-tensors:0.3.0-dev-14")
+    implementation("space.kscience:kmath-tensors:0.3.0-dev-17")
 }
 ```

From 70ac232c15d37d049c4413f552e67057dc0e1d54 Mon Sep 17 00:00:00 2001
From: Iaroslav Postovalov <postovalovya@gmail.com>
Date: Tue, 16 Nov 2021 14:27:20 +0700
Subject: [PATCH 22/44] Relax type requirements in algebraExtensions.kt from
 Ring to Group

---
 .../kmath/operations/algebraExtensions.kt     | 30 +++++++++----------
 1 file changed, 15 insertions(+), 15 deletions(-)

diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/algebraExtensions.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/algebraExtensions.kt
index 493d90d2f..1ed0414de 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/algebraExtensions.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/algebraExtensions.kt
@@ -6,55 +6,55 @@
 package space.kscience.kmath.operations
 
 /**
- * Returns the sum of all elements in the iterable in this [Ring].
+ * Returns the sum of all elements in the iterable in this [Group].
  *
  * @receiver the algebra that provides addition.
  * @param data the iterable to sum up.
  * @return the sum.
  */
-public fun <T> Ring<T>.sum(data: Iterable<T>): T = data.fold(zero) { left, right ->
+public fun <T> Group<T>.sum(data: Iterable<T>): T = data.fold(zero) { left, right ->
     add(left, right)
 }
 
 //TODO replace by sumOf with multi-receivers
 
 /**
- * Returns the sum of all elements in the sequence in this [Ring].
+ * Returns the sum of all elements in the sequence in this [Group].
  *
  * @receiver the algebra that provides addition.
  * @param data the sequence to sum up.
  * @return the sum.
  */
-public fun <T> Ring<T>.sum(data: Sequence<T>): T = data.fold(zero) { left, right ->
+public fun <T> Group<T>.sum(data: Sequence<T>): T = data.fold(zero) { left, right ->
     add(left, right)
 }
 
 /**
- * Returns an average value of elements in the iterable in this [Ring].
+ * Returns an average value of elements in the iterable in this [Group].
  *
  * @receiver the algebra that provides addition and division.
  * @param data the iterable to find average.
  * @return the average value.
  * @author Iaroslav Postovalov
  */
-public fun <T, S> S.average(data: Iterable<T>): T where S : Ring<T>, S : ScaleOperations<T> =
+public fun <T, S> S.average(data: Iterable<T>): T where S : Group<T>, S : ScaleOperations<T> =
     sum(data) / data.count()
 
 /**
- * Returns an average value of elements in the sequence in this [Ring].
+ * Returns an average value of elements in the sequence in this [Group].
  *
  * @receiver the algebra that provides addition and division.
  * @param data the sequence to find average.
  * @return the average value.
  * @author Iaroslav Postovalov
  */
-public fun <T, S> S.average(data: Sequence<T>): T where S : Ring<T>, S : ScaleOperations<T> =
+public fun <T, S> S.average(data: Sequence<T>): T where S : Group<T>, S : ScaleOperations<T> =
     sum(data) / data.count()
 
 /**
  * Absolute of the comparable [value]
  */
-public fun <T : Comparable<T>> Ring<T>.abs(value: T): T = if (value > zero) value else -value
+public fun <T : Comparable<T>> Group<T>.abs(value: T): T = if (value > zero) value else -value
 
 /**
  * Returns the sum of all elements in the iterable in provided space.
@@ -63,7 +63,7 @@ public fun <T : Comparable<T>> Ring<T>.abs(value: T): T = if (value > zero) valu
  * @param group the algebra that provides addition.
  * @return the sum.
  */
-public fun <T> Iterable<T>.sumWith(group: Ring<T>): T = group.sum(this)
+public fun <T> Iterable<T>.sumWith(group: Group<T>): T = group.sum(this)
 
 /**
  * Returns the sum of all elements in the sequence in provided space.
@@ -72,27 +72,27 @@ public fun <T> Iterable<T>.sumWith(group: Ring<T>): T = group.sum(this)
  * @param group the algebra that provides addition.
  * @return the sum.
  */
-public fun <T> Sequence<T>.sumWith(group: Ring<T>): T = group.sum(this)
+public fun <T> Sequence<T>.sumWith(group: Group<T>): T = group.sum(this)
 
 /**
- * Returns an average value of elements in the iterable in this [Ring].
+ * Returns an average value of elements in the iterable in this [Group].
  *
  * @receiver the iterable to find average.
  * @param space the algebra that provides addition and division.
  * @return the average value.
  * @author Iaroslav Postovalov
  */
-public fun <T, S> Iterable<T>.averageWith(space: S): T where S : Ring<T>, S : ScaleOperations<T> =
+public fun <T, S> Iterable<T>.averageWith(space: S): T where S : Group<T>, S : ScaleOperations<T> =
     space.average(this)
 
 /**
- * Returns an average value of elements in the sequence in this [Ring].
+ * Returns an average value of elements in the sequence in this [Group].
  *
  * @receiver the sequence to find average.
  * @param space the algebra that provides addition and division.
  * @return the average value.
  * @author Iaroslav Postovalov
  */
-public fun <T, S> Sequence<T>.averageWith(space: S): T where S : Ring<T>, S : ScaleOperations<T> =
+public fun <T, S> Sequence<T>.averageWith(space: S): T where S : Group<T>, S : ScaleOperations<T> =
     space.average(this)
 

From 7ceb0b69b8a4b95f3510b5281f1618b62524f1dd Mon Sep 17 00:00:00 2001
From: Iaroslav Postovalov <postovalovya@gmail.com>
Date: Tue, 16 Nov 2021 18:04:44 +0700
Subject: [PATCH 23/44] Revert license removal and update copyright

---
 .gitignore                                    |   5 +-
 .idea/copyright/kmath.xml                     |   6 +
 .idea/copyright/profiles_settings.xml         |  21 +
 .idea/scopes/Apply_copyright.xml              |   3 +
 .../kmath/benchmarks/ArrayBenchmark.kt        |   2 +-
 .../kmath/benchmarks/BigIntBenchmark.kt       |   2 +-
 .../kmath/benchmarks/BufferBenchmark.kt       |   2 +-
 .../kscience/kmath/benchmarks/DotBenchmark.kt |   2 +-
 .../ExpressionsInterpretersBenchmark.kt       |   2 +-
 .../kmath/benchmarks/JafamaBenchmark.kt       |   2 +-
 .../benchmarks/MatrixInverseBenchmark.kt      |   2 +-
 .../kmath/benchmarks/NDFieldBenchmark.kt      |   2 +-
 .../kmath/benchmarks/ViktorBenchmark.kt       |   2 +-
 .../kmath/benchmarks/ViktorLogBenchmark.kt    |   2 +-
 .../kscience/kmath/benchmarks/JmhReport.kt    |   2 +-
 .../benchmarks/addBenchmarkProperties.kt      |   2 +-
 .../kmath/ejml/codegen/ejmlCodegen.kt         |   2 +-
 docs/images/KM.svg                            |   2 +-
 docs/images/KM_mono.svg                       |   2 +-
 docs/images/KMath.svg                         |   2 +-
 docs/images/KMath_mono.svg                    |   2 +-
 .../space/kscience/kmath/ast/astRendering.kt  |   2 +-
 .../space/kscience/kmath/ast/expressions.kt   |   2 +-
 .../kscience/kmath/ast/kotlingradSupport.kt   |   2 +-
 .../space/kscience/kmath/ast/symjaSupport.kt  |   2 +-
 .../space/kscience/kmath/fit/chiSquared.kt    |   2 +-
 .../kscience/kmath/functions/integrate.kt     |   2 +-
 .../kscience/kmath/functions/interpolate.kt   |   2 +-
 .../kmath/functions/interpolateSquare.kt      |   2 +-
 .../kmath/functions/matrixIntegration.kt      |   2 +-
 .../space/kscience/kmath/jafama/JafamaDemo.kt |   2 +-
 .../kscience/kmath/linear/dotPerformance.kt   |   2 +-
 .../space/kscience/kmath/linear/gradient.kt   |   2 +-
 .../kscience/kmath/operations/BigIntDemo.kt   |   2 +-
 .../kscience/kmath/operations/complexDemo.kt  |   2 +-
 .../kmath/operations/mixedNDOperations.kt     |   5 +
 .../kmath/stat/DistributionBenchmark.kt       |   2 +-
 .../kscience/kmath/stat/DistributionDemo.kt   |   2 +-
 .../kscience/kmath/structures/ComplexND.kt    |   2 +-
 .../kscience/kmath/structures/NDField.kt      |   2 +-
 .../kmath/structures/StreamDoubleFieldND.kt   |   2 +-
 .../structures/StructureReadBenchmark.kt      |   2 +-
 .../structures/StructureWriteBenchmark.kt     |   2 +-
 .../kmath/structures/typeSafeDimensions.kt    |   2 +-
 .../kscience/kmath/tensors/OLSWithSVD.kt      |   2 +-
 .../space/kscience/kmath/tensors/PCA.kt       |   2 +-
 .../kmath/tensors/dataSetNormalization.kt     |   2 +-
 .../tensors/linearSystemSolvingWithLUP.kt     |   2 +-
 .../space/kscience/kmath/tensors/multik.kt    |   2 +-
 .../kscience/kmath/tensors/neuralNetwork.kt   |   2 +-
 gradlew                                       | 269 ++++++-----
 .../kotlin/space/kscience/kmath/ast/parser.kt |   2 +-
 .../ast/rendering/LatexSyntaxRenderer.kt      |   2 +-
 .../ast/rendering/MathMLSyntaxRenderer.kt     |   2 +-
 .../kmath/ast/rendering/MathRenderer.kt       |   2 +-
 .../kmath/ast/rendering/MathSyntax.kt         |   2 +-
 .../kmath/ast/rendering/SyntaxRenderer.kt     |   2 +-
 .../kscience/kmath/ast/rendering/features.kt  |   2 +-
 .../ast/rendering/multiplatformToString.kt    |   2 +-
 .../kscience/kmath/ast/rendering/phases.kt    |   2 +-
 .../TestCompilerConsistencyWithInterpreter.kt |   2 +-
 .../kmath/ast/TestCompilerOperations.kt       |   2 +-
 .../kmath/ast/TestCompilerVariables.kt        |   2 +-
 .../space/kscience/kmath/ast/TestParser.kt    |   2 +-
 .../kmath/ast/TestParserPrecedence.kt         |   2 +-
 .../kmath/ast/rendering/TestFeatures.kt       |   2 +-
 .../kscience/kmath/ast/rendering/TestLatex.kt |   2 +-
 .../kmath/ast/rendering/TestMathML.kt         |   2 +-
 .../kmath/ast/rendering/TestStages.kt         |   2 +-
 .../kscience/kmath/ast/rendering/TestUtils.kt |   2 +-
 .../kotlin/space/kscience/kmath/ast/utils.kt  |   2 +-
 .../ast/rendering/multiplatformToString.kt    |   2 +-
 .../space/kscience/kmath/estree/estree.kt     |   2 +-
 .../kmath/estree/internal/ESTreeBuilder.kt    |   2 +-
 .../internal/astring/astring.typealises.kt    |   2 +-
 .../kmath/internal/astring/astring.kt         |   2 +-
 .../internal/astring/astring.typealises.kt    |   2 +-
 .../kscience/kmath/internal/base64/base64.kt  |   2 +-
 .../kmath/internal/binaryen/index.binaryen.kt |   2 +-
 .../binaryen/index.binaryen.typealiases.kt    |   2 +-
 .../kmath/internal/emitter/emitter.kt         |   2 +-
 .../internal/estree/estree.extensions.kt      |   2 +-
 .../kscience/kmath/internal/estree/estree.kt  |   2 +-
 .../kscience/kmath/internal/stream/stream.kt  |   2 +-
 .../internal/tsstdlib/lib.es2015.iterable.kt  |   2 +-
 .../kmath/internal/tsstdlib/lib.es5.kt        |   2 +-
 .../lib.dom.WebAssembly.module_dukat.kt       |   2 +-
 .../nonDeclarations.WebAssembly.kt            |   2 +-
 .../kmath/wasm/internal/WasmBuilder.kt        |   2 +-
 .../wasm/internal/f64StandardFunctions.kt     |   2 +-
 .../kotlin/space/kscience/kmath/wasm/wasm.kt  |   2 +-
 .../kscience/kmath/ast/TestExecutionTime.kt   |   2 +-
 .../kotlin/space/kscience/kmath/ast/utils.kt  |   2 +-
 .../kscience/kmath/wasm/TestWasmSpecific.kt   |   2 +-
 .../kotlin/space/kscience/kmath/asm/asm.kt    |   2 +-
 .../kscience/kmath/asm/internal/AsmBuilder.kt |   5 +
 .../asm/internal/ByteArrayClassLoader.kt      |   5 +
 .../kmath/asm/internal/GenericAsmBuilder.kt   |   2 +-
 .../kmath/asm/internal/PrimitiveAsmBuilder.kt |   5 +
 .../kmath/asm/internal/codegenUtils.kt        |   2 +-
 .../kmath/asm/internal/mapIntrinsics.kt       |   2 +-
 .../ast/rendering/multiplatformToString.kt    |   2 +-
 .../kotlin/space/kscience/kmath/ast/utils.kt  |   2 +-
 .../DerivativeStructureExpression.kt          |   2 +-
 .../integration/CMGaussRuleIntegrator.kt      |   2 +-
 .../kmath/commons/integration/CMIntegrator.kt |   2 +-
 .../kscience/kmath/commons/linear/CMMatrix.kt |   2 +-
 .../kscience/kmath/commons/linear/CMSolver.kt |   2 +-
 .../random/CMRandomGeneratorWrapper.kt        |   2 +-
 .../commons/transform/Transformations.kt      |   2 +-
 .../DerivativeStructureExpressionTest.kt      |   2 +-
 .../commons/integration/IntegrationTest.kt    |   2 +-
 .../commons/optimization/OptimizeTest.kt      |   2 +-
 .../space/kscience/kmath/complex/Complex.kt   |   2 +-
 .../kscience/kmath/complex/ComplexFieldND.kt  |   2 +-
 .../kscience/kmath/complex/Quaternion.kt      |   2 +-
 .../kmath/complex/ComplexBufferSpecTest.kt    |   2 +-
 .../kmath/complex/ComplexFieldTest.kt         |   2 +-
 .../kscience/kmath/complex/ComplexTest.kt     |   2 +-
 .../complex/ExpressionFieldForComplexTest.kt  |   2 +-
 .../kmath/complex/QuaternionFieldTest.kt      |   2 +-
 .../space/kscience/kmath/data/ColumnarData.kt |   2 +-
 .../kscience/kmath/data/XYColumnarData.kt     |   2 +-
 .../kscience/kmath/data/XYZColumnarData.kt    |   2 +-
 .../space/kscience/kmath/domains/Domain.kt    |   2 +-
 .../kscience/kmath/domains/DoubleDomain.kt    |   2 +-
 .../kmath/domains/HyperSquareDomain.kt        |   2 +-
 .../kmath/domains/UnconstrainedDomain.kt      |   2 +-
 .../kmath/domains/UnivariateDomain.kt         |   2 +-
 .../expressions/DifferentiableExpression.kt   |   2 +-
 .../kscience/kmath/expressions/Expression.kt  |   2 +-
 .../FunctionalExpressionAlgebra.kt            |   2 +-
 .../space/kscience/kmath/expressions/MST.kt   |   2 +-
 .../kscience/kmath/expressions/MstAlgebra.kt  |   2 +-
 .../kmath/expressions/SimpleAutoDiff.kt       |   2 +-
 .../kscience/kmath/expressions/Symbol.kt      |   2 +-
 .../kmath/expressions/SymbolIndexer.kt        |   2 +-
 .../kmath/linear/BufferedLinearSpace.kt       |   2 +-
 .../kmath/linear/DoubleLinearSpace.kt         |   2 +-
 .../kscience/kmath/linear/LinearSolver.kt     |   2 +-
 .../kscience/kmath/linear/LinearSpace.kt      |   2 +-
 .../kscience/kmath/linear/LupDecomposition.kt |   2 +-
 .../kscience/kmath/linear/MatrixBuilder.kt    |   2 +-
 .../kscience/kmath/linear/MatrixFeatures.kt   |   2 +-
 .../kscience/kmath/linear/MatrixWrapper.kt    |   2 +-
 .../kscience/kmath/linear/VirtualMatrix.kt    |   2 +-
 .../space/kscience/kmath/misc/annotations.kt  |   2 +-
 .../space/kscience/kmath/misc/cumulative.kt   |   2 +-
 .../space/kscience/kmath/misc/numbers.kt      |   2 +-
 .../space/kscience/kmath/nd/AlgebraND.kt      |   2 +-
 .../kscience/kmath/nd/BufferAlgebraND.kt      |   2 +-
 .../space/kscience/kmath/nd/BufferND.kt       |   2 +-
 .../space/kscience/kmath/nd/DoubleFieldND.kt  |   2 +-
 .../space/kscience/kmath/nd/ShapeIndexer.kt   |   2 +-
 .../space/kscience/kmath/nd/ShortRingND.kt    |   2 +-
 .../space/kscience/kmath/nd/Structure1D.kt    |   2 +-
 .../space/kscience/kmath/nd/Structure2D.kt    |   2 +-
 .../space/kscience/kmath/nd/StructureND.kt    |   2 +-
 .../kscience/kmath/nd/algebraNDExtentions.kt  |   2 +-
 .../kscience/kmath/operations/Algebra.kt      |   2 +-
 .../space/kscience/kmath/operations/BigInt.kt |   2 +-
 .../kmath/operations/DoubleBufferField.kt     |   2 +-
 .../kmath/operations/DoubleBufferOps.kt       |   2 +-
 .../kscience/kmath/operations/LogicAlgebra.kt |   2 +-
 .../kmath/operations/NumericAlgebra.kt        |   2 +-
 .../kmath/operations/OptionalOperations.kt    |   2 +-
 .../kmath/operations/algebraExtensions.kt     |   2 +-
 .../kmath/operations/bufferOperation.kt       |   2 +-
 .../kscience/kmath/operations/numbers.kt      |   2 +-
 .../kscience/kmath/structures/ArrayBuffer.kt  |   2 +-
 .../space/kscience/kmath/structures/Buffer.kt |   2 +-
 .../kmath/structures/BufferAccessor2D.kt      |   2 +-
 .../kscience/kmath/structures/DoubleBuffer.kt |   2 +-
 .../kmath/structures/FlaggedBuffer.kt         |   2 +-
 .../kscience/kmath/structures/FloatBuffer.kt  |   2 +-
 .../kscience/kmath/structures/IntBuffer.kt    |   2 +-
 .../kscience/kmath/structures/ListBuffer.kt   |   2 +-
 .../kscience/kmath/structures/LongBuffer.kt   |   2 +-
 .../kscience/kmath/structures/MemoryBuffer.kt |   2 +-
 .../kmath/structures/MutableBuffer.kt         |   2 +-
 .../kscience/kmath/structures/ShortBuffer.kt  |   2 +-
 .../kmath/expressions/ExpressionFieldTest.kt  |   2 +-
 .../kmath/expressions/InterpretTest.kt        |   2 +-
 .../kmath/expressions/SimpleAutoDiffTest.kt   |   2 +-
 .../kmath/linear/DoubleLUSolverTest.kt        |   2 +-
 .../space/kscience/kmath/linear/MatrixTest.kt |   2 +-
 .../kscience/kmath/misc/CumulativeKtTest.kt   |   2 +-
 .../kmath/operations/BigIntAlgebraTest.kt     |   2 +-
 .../kmath/operations/BigIntConstructorTest.kt |   2 +-
 .../kmath/operations/BigIntConversionsTest.kt |   2 +-
 .../kmath/operations/BigIntOperationsTest.kt  |   2 +-
 .../kmath/operations/DoubleFieldTest.kt       |   2 +-
 .../kscience/kmath/structures/NDFieldTest.kt  |   2 +-
 .../kmath/structures/NumberNDFieldTest.kt     |   2 +-
 .../kmath/testutils/AlgebraicVerifier.kt      |   2 +-
 .../kscience/kmath/testutils/FieldVerifier.kt |   2 +-
 .../kscience/kmath/testutils/RingVerifier.kt  |   2 +-
 .../kscience/kmath/testutils/SpaceVerifier.kt |   2 +-
 .../space/kscience/kmath/misc/numbers.kt      |   2 +-
 .../kscience/kmath/operations/isInteger.kt    |   5 +
 .../space/kscience/kmath/misc/numbersJVM.kt   |   2 +-
 .../kscience/kmath/operations/BigNumbers.kt   |   2 +-
 .../kscience/kmath/operations/isInteger.kt    |   5 +
 .../space/kscience/kmath/misc/numbers.kt      |   2 +-
 .../kscience/kmath/operations/isInteger.kt    |   5 +
 .../kscience/kmath/chains/BlockingChain.kt    |   2 +-
 .../kmath/chains/BlockingDoubleChain.kt       |   2 +-
 .../kscience/kmath/chains/BlockingIntChain.kt |   2 +-
 .../space/kscience/kmath/chains/Chain.kt      |   2 +-
 .../space/kscience/kmath/chains/flowExtra.kt  |   2 +-
 .../kmath/coroutines/coroutinesExtra.kt       |   2 +-
 .../kscience/kmath/streaming/BufferFlow.kt    |   2 +-
 .../kscience/kmath/streaming/RingBuffer.kt    |   2 +-
 .../space/kscience/kmath/chains/ChainExt.kt   |   2 +-
 .../kmath/structures/LazyStructureND.kt       |   2 +-
 .../kmath/streaming/BufferFlowTest.kt         |   2 +-
 .../kmath/streaming/RingBufferTest.kt         |   2 +-
 .../kscience/kmath/dimensions/Dimension.kt    |   2 +-
 .../kscience/kmath/dimensions/Wrappers.kt     |   2 +-
 .../kscience/dimensions/DMatrixContextTest.kt |   2 +-
 .../kscience/kmath/dimensions/Dimension.kt    |   2 +-
 .../kscience/kmath/dimensions/Dimension.kt    |   2 +-
 .../kscience/kmath/dimensions/Dimension.kt    |   2 +-
 .../kscience/kmath/ejml/EjmlLinearSpace.kt    |   2 +-
 .../space/kscience/kmath/ejml/EjmlMatrix.kt   |   2 +-
 .../space/kscience/kmath/ejml/EjmlVector.kt   |   2 +-
 .../kscience/kmath/ejml/EjmlMatrixTest.kt     |   2 +-
 .../kscience/kmath/ejml/EjmlVectorTest.kt     |   2 +-
 .../space/kscience/kmath/real/RealMatrix.kt   |   2 +-
 .../space/kscience/kmath/real/RealVector.kt   |   2 +-
 .../kotlin/space/kscience/kmath/real/dot.kt   |   2 +-
 .../kotlin/space/kscience/kmath/real/grids.kt |   2 +-
 .../space/kscience/kmath/real/realND.kt       |   2 +-
 .../kscience/kmath/real/DoubleMatrixTest.kt   |   2 +-
 .../kscience/kmath/real/DoubleVectorTest.kt   |   2 +-
 .../space/kscience/kmath/real/GridTest.kt     |   2 +-
 .../kscience/kmath/functions/Piecewise.kt     |   2 +-
 .../kscience/kmath/functions/Polynomial.kt    |   2 +-
 .../kscience/kmath/functions/functionTypes.kt |   2 +-
 .../kmath/integration/GaussIntegrator.kt      |   2 +-
 .../integration/GaussIntegratorRuleFactory.kt |   2 +-
 .../kscience/kmath/integration/Integrand.kt   |   2 +-
 .../kscience/kmath/integration/Integrator.kt  |   2 +-
 .../integration/MultivariateIntegrand.kt      |   2 +-
 .../kmath/integration/SimpsonIntegrator.kt    |   2 +-
 .../kmath/integration/SplineIntegrator.kt     |   2 +-
 .../kmath/integration/UnivariateIntegrand.kt  |   2 +-
 .../kmath/interpolation/Interpolator.kt       |   2 +-
 .../kmath/interpolation/LinearInterpolator.kt |   2 +-
 .../kmath/interpolation/SplineInterpolator.kt |   2 +-
 .../kmath/functions/PolynomialTest.kt         |   2 +-
 .../kmath/integration/GaussIntegralTest.kt    |   2 +-
 .../kmath/integration/SimpsonIntegralTest.kt  |   2 +-
 .../kmath/integration/SplineIntegralTest.kt   |   2 +-
 .../interpolation/LinearInterpolatorTest.kt   |   2 +-
 .../interpolation/SplineInterpolatorTest.kt   |   2 +-
 .../kmath/geometry/Euclidean2DSpace.kt        |   2 +-
 .../kmath/geometry/Euclidean3DSpace.kt        |   2 +-
 .../kscience/kmath/geometry/GeometrySpace.kt  |   2 +-
 .../space/kscience/kmath/geometry/Line.kt     |   2 +-
 .../kscience/kmath/geometry/Projections.kt    |   5 +
 .../kscience/kmath/geometry/ReferenceFrame.kt |   2 +-
 .../kmath/geometry/Euclidean2DSpaceTest.kt    |   5 +
 .../kmath/geometry/Euclidean3DSpaceTest.kt    |   5 +
 .../kmath/geometry/ProjectionAlongTest.kt     |   5 +
 .../kmath/geometry/ProjectionOntoLineTest.kt  |   5 +
 .../kscience/kmath/geometry/Vector2DTest.kt   |   5 +
 .../kscience/kmath/geometry/Vector3DTest.kt   |   5 +
 .../kscience/kmath/geometry/testUtils.kt      |   5 +
 .../space/kscience/kmath/histogram/Counter.kt |   2 +-
 .../kmath/histogram/DoubleHistogramSpace.kt   |   2 +-
 .../kscience/kmath/histogram/Histogram.kt     |   2 +-
 .../kmath/histogram/IndexedHistogramSpace.kt  |   2 +-
 .../histogram/MultivariateHistogramTest.kt    |   2 +-
 .../kmath/histogram/TreeHistogramSpace.kt     |   2 +-
 .../kmath/histogram/UnivariateHistogram.kt    |   2 +-
 .../kmath/histogram/TreeHistogramTest.kt      |   2 +-
 .../kscience/kmath/jafama/KMathJafama.kt      |   2 +-
 .../kscience/kmath/jupyter/KMathJupyter.kt    |   2 +-
 .../kscience/kmath/kotlingrad/KMathNumber.kt  |   2 +-
 .../kmath/kotlingrad/KotlingradExpression.kt  |   2 +-
 .../kmath/kotlingrad/scalarsAdapters.kt       |   2 +-
 .../kmath/kotlingrad/AdaptingTests.kt         |   2 +-
 .../space/kscience/kmath/memory/Memory.kt     |   2 +-
 .../space/kscience/kmath/memory/MemorySpec.kt |   2 +-
 .../kscience/kmath/memory/DataViewMemory.kt   |   2 +-
 .../kscience/kmath/memory/ByteBufferMemory.kt |   2 +-
 .../kscience/kmath/memory/NativeMemory.kt     |   2 +-
 .../kmath/multik/MultikDoubleAlgebra.kt       |   5 +
 .../kmath/multik/MultikTensorAlgebra.kt       |   2 +-
 .../kscience/kmath/multik/MultikNDTest.kt     |   5 +
 .../kscience/kmath/nd4j/Nd4jArrayAlgebra.kt   |   2 +-
 .../kscience/kmath/nd4j/Nd4jArrayIterator.kt  |   2 +-
 .../kscience/kmath/nd4j/Nd4jArrayStructure.kt |   2 +-
 .../kscience/kmath/nd4j/Nd4jTensorAlgebra.kt  |   2 +-
 .../space/kscience/kmath/nd4j/arrays.kt       |   2 +-
 .../kmath/nd4j/Nd4jArrayAlgebraTest.kt        |   2 +-
 .../kmath/nd4j/Nd4jArrayStructureTest.kt      |   2 +-
 .../kmath/distributions/Distribution.kt       |   2 +-
 .../distributions/FactorizedDistribution.kt   |   2 +-
 .../kmath/distributions/NormalDistribution.kt |   2 +-
 .../kscience/kmath/internal/InternalErf.kt    |   2 +-
 .../kscience/kmath/internal/InternalGamma.kt  |   2 +-
 .../kscience/kmath/internal/InternalUtils.kt  |   2 +-
 .../AhrensDieterExponentialSampler.kt         |   2 +-
 .../AhrensDieterMarsagliaTsangGammaSampler.kt |   2 +-
 .../samplers/AliasMethodDiscreteSampler.kt    |   2 +-
 .../kmath/samplers/BoxMullerSampler.kt        |   2 +-
 .../kmath/samplers/GaussianSampler.kt         |   2 +-
 .../samplers/KempSmallMeanPoissonSampler.kt   |   2 +-
 .../MarsagliaNormalizedGaussianSampler.kt     |   2 +-
 .../samplers/NormalizedGaussianSampler.kt     |   2 +-
 .../kscience/kmath/samplers/PoissonSampler.kt |   2 +-
 .../ZigguratNormalizedGaussianSampler.kt      |   2 +-
 .../space/kscience/kmath/stat/MCScope.kt      |   2 +-
 .../kotlin/space/kscience/kmath/stat/Mean.kt  |   2 +-
 .../space/kscience/kmath/stat/Median.kt       |   2 +-
 .../space/kscience/kmath/stat/RandomChain.kt  |   2 +-
 .../kscience/kmath/stat/RandomGenerator.kt    |   2 +-
 .../space/kscience/kmath/stat/Sampler.kt      |   2 +-
 .../kscience/kmath/stat/SamplerAlgebra.kt     |   2 +-
 .../space/kscience/kmath/stat/Statistic.kt    |   2 +-
 .../kmath/stat/UniformDistribution.kt         |   2 +-
 .../kmath/stat/RandomSourceGenerator.kt       |   2 +-
 .../kmath/stat/CommonsDistributionsTest.kt    |   2 +-
 .../space/kscience/kmath/stat/MCScopeTest.kt  |   2 +-
 .../space/kscience/kmath/stat/SamplerTest.kt  |   2 +-
 .../kscience/kmath/stat/StatisticTest.kt      |   2 +-
 .../kscience/kmath/symja/SymjaExpression.kt   |   2 +-
 .../space/kscience/kmath/symja/adapters.kt    |   2 +-
 .../tensors/api/AnalyticTensorAlgebra.kt      |   2 +-
 .../tensors/api/LinearOpsTensorAlgebra.kt     |   2 +-
 .../kscience/kmath/tensors/api/Tensor.kt      |   2 +-
 .../kmath/tensors/api/TensorAlgebra.kt        |   2 +-
 .../api/TensorPartialDivisionAlgebra.kt       |   2 +-
 .../core/BroadcastDoubleTensorAlgebra.kt      |   2 +-
 .../kmath/tensors/core/BufferedTensor.kt      |   2 +-
 .../kmath/tensors/core/DoubleTensor.kt        |   2 +-
 .../kmath/tensors/core/DoubleTensorAlgebra.kt |   2 +-
 .../kscience/kmath/tensors/core/IntTensor.kt  |   2 +-
 .../tensors/core/internal/broadcastUtils.kt   |   2 +-
 .../kmath/tensors/core/internal/checks.kt     |   2 +-
 .../kmath/tensors/core/internal/linUtils.kt   |   2 +-
 .../tensors/core/internal/tensorCastsUtils.kt |   2 +-
 .../kmath/tensors/core/internal/utils.kt      |   2 +-
 .../tensors/core/tensorAlgebraExtensions.kt   |   2 +-
 .../kmath/tensors/core/tensorCasts.kt         |   2 +-
 .../kmath/tensors/core/TestBroadcasting.kt    |   2 +-
 .../core/TestDoubleAnalyticTensorAlgebra.kt   |   2 +-
 .../core/TestDoubleLinearOpsAlgebra.kt        |   2 +-
 .../kmath/tensors/core/TestDoubleTensor.kt    |   2 +-
 .../tensors/core/TestDoubleTensorAlgebra.kt   |   2 +-
 .../kscience/kmath/viktor/ViktorBuffer.kt     |   2 +-
 .../kscience/kmath/viktor/ViktorFieldOpsND.kt |   2 +-
 .../kmath/viktor/ViktorStructureND.kt         |   2 +-
 license/COPYRIGHT.txt                         |  15 +
 license/COPYRIGHT_HEADER.txt                  |   4 +
 license/LICENSE.txt                           | 202 ++++++++
 license/README.md                             |  53 ++
 license/third_party/cm_license.txt            | 457 ++++++++++++++++++
 license/third_party/crng_license.txt          | 275 +++++++++++
 license/third_party/numky_license.txt         | 201 ++++++++
 362 files changed, 1817 insertions(+), 445 deletions(-)
 create mode 100644 .idea/copyright/kmath.xml
 create mode 100644 .idea/copyright/profiles_settings.xml
 create mode 100644 .idea/scopes/Apply_copyright.xml
 create mode 100644 license/COPYRIGHT.txt
 create mode 100644 license/COPYRIGHT_HEADER.txt
 create mode 100644 license/LICENSE.txt
 create mode 100644 license/README.md
 create mode 100644 license/third_party/cm_license.txt
 create mode 100644 license/third_party/crng_license.txt
 create mode 100644 license/third_party/numky_license.txt

diff --git a/.gitignore b/.gitignore
index d6c4af4e3..79f3238e1 100644
--- a/.gitignore
+++ b/.gitignore
@@ -4,8 +4,6 @@ out/
 
 .idea/
 
-!.idea/copyright/
-!.idea/scopes/
 
 .vscode/
 
@@ -18,3 +16,6 @@ out/
 # Generated by javac -h and runtime
 *.class
 *.log
+
+!/.idea/copyright/
+!/.idea/scopes/
diff --git a/.idea/copyright/kmath.xml b/.idea/copyright/kmath.xml
new file mode 100644
index 000000000..17e44e4d0
--- /dev/null
+++ b/.idea/copyright/kmath.xml
@@ -0,0 +1,6 @@
+<component name="CopyrightManager">
+    <copyright>
+        <option name="notice" value="Copyright 2018-2021 KMath contributors.&#10;Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file." />
+        <option name="myName" value="kmath" />
+    </copyright>
+</component>
diff --git a/.idea/copyright/profiles_settings.xml b/.idea/copyright/profiles_settings.xml
new file mode 100644
index 000000000..b538bdf41
--- /dev/null
+++ b/.idea/copyright/profiles_settings.xml
@@ -0,0 +1,21 @@
+<component name="CopyrightManager">
+  <settings default="kmath">
+    <module2copyright>
+      <element module="Apply copyright" copyright="kmath" />
+    </module2copyright>
+    <LanguageOptions name="Groovy">
+      <option name="fileTypeOverride" value="1" />
+    </LanguageOptions>
+    <LanguageOptions name="HTML">
+      <option name="fileTypeOverride" value="1" />
+      <option name="prefixLines" value="false" />
+    </LanguageOptions>
+    <LanguageOptions name="Properties">
+      <option name="fileTypeOverride" value="1" />
+    </LanguageOptions>
+    <LanguageOptions name="XML">
+      <option name="fileTypeOverride" value="1" />
+      <option name="prefixLines" value="false" />
+    </LanguageOptions>
+  </settings>
+</component>
\ No newline at end of file
diff --git a/.idea/scopes/Apply_copyright.xml b/.idea/scopes/Apply_copyright.xml
new file mode 100644
index 000000000..a2575f774
--- /dev/null
+++ b/.idea/scopes/Apply_copyright.xml
@@ -0,0 +1,3 @@
+<component name="DependencyValidationManager">
+    <scope name="Apply copyright" pattern="!file[*]:*//testData//*&amp;&amp;!file[*]:testData//*&amp;&amp;!file[*]:*.gradle.kts&amp;&amp;!file[*]:*.gradle&amp;&amp;!file[group:kotlin-ultimate]:*/&amp;&amp;!file[kotlin.libraries]:stdlib/api//*" />
+</component>
\ No newline at end of file
diff --git a/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/ArrayBenchmark.kt b/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/ArrayBenchmark.kt
index 17983e88c..ff933997f 100644
--- a/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/ArrayBenchmark.kt
+++ b/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/ArrayBenchmark.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.benchmarks
diff --git a/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/BigIntBenchmark.kt b/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/BigIntBenchmark.kt
index f2b2d4d7a..188a48ca7 100644
--- a/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/BigIntBenchmark.kt
+++ b/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/BigIntBenchmark.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.benchmarks
diff --git a/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/BufferBenchmark.kt b/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/BufferBenchmark.kt
index 5cf194b67..39819d407 100644
--- a/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/BufferBenchmark.kt
+++ b/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/BufferBenchmark.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.benchmarks
diff --git a/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/DotBenchmark.kt b/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/DotBenchmark.kt
index 9203c269e..63165baaa 100644
--- a/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/DotBenchmark.kt
+++ b/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/DotBenchmark.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.benchmarks
diff --git a/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/ExpressionsInterpretersBenchmark.kt b/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/ExpressionsInterpretersBenchmark.kt
index 4c6b92248..f3a52ab5f 100644
--- a/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/ExpressionsInterpretersBenchmark.kt
+++ b/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/ExpressionsInterpretersBenchmark.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.benchmarks
diff --git a/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/JafamaBenchmark.kt b/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/JafamaBenchmark.kt
index 9c6551302..5d4eee7c0 100644
--- a/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/JafamaBenchmark.kt
+++ b/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/JafamaBenchmark.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.benchmarks
diff --git a/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/MatrixInverseBenchmark.kt b/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/MatrixInverseBenchmark.kt
index 5d331af9a..4ff687aac 100644
--- a/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/MatrixInverseBenchmark.kt
+++ b/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/MatrixInverseBenchmark.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.benchmarks
diff --git a/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/NDFieldBenchmark.kt b/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/NDFieldBenchmark.kt
index b5af5aa19..e3b3dde05 100644
--- a/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/NDFieldBenchmark.kt
+++ b/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/NDFieldBenchmark.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.benchmarks
diff --git a/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/ViktorBenchmark.kt b/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/ViktorBenchmark.kt
index 6b4d5759b..de301678c 100644
--- a/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/ViktorBenchmark.kt
+++ b/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/ViktorBenchmark.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.benchmarks
diff --git a/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/ViktorLogBenchmark.kt b/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/ViktorLogBenchmark.kt
index a9d1e68fc..dfdd89d74 100644
--- a/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/ViktorLogBenchmark.kt
+++ b/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/ViktorLogBenchmark.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.benchmarks
diff --git a/buildSrc/src/main/kotlin/space/kscience/kmath/benchmarks/JmhReport.kt b/buildSrc/src/main/kotlin/space/kscience/kmath/benchmarks/JmhReport.kt
index 6859de845..eaa0f59d8 100644
--- a/buildSrc/src/main/kotlin/space/kscience/kmath/benchmarks/JmhReport.kt
+++ b/buildSrc/src/main/kotlin/space/kscience/kmath/benchmarks/JmhReport.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.benchmarks
diff --git a/buildSrc/src/main/kotlin/space/kscience/kmath/benchmarks/addBenchmarkProperties.kt b/buildSrc/src/main/kotlin/space/kscience/kmath/benchmarks/addBenchmarkProperties.kt
index 568bfe535..ca1c330a1 100644
--- a/buildSrc/src/main/kotlin/space/kscience/kmath/benchmarks/addBenchmarkProperties.kt
+++ b/buildSrc/src/main/kotlin/space/kscience/kmath/benchmarks/addBenchmarkProperties.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.benchmarks
diff --git a/buildSrc/src/main/kotlin/space/kscience/kmath/ejml/codegen/ejmlCodegen.kt b/buildSrc/src/main/kotlin/space/kscience/kmath/ejml/codegen/ejmlCodegen.kt
index cfebf61e7..7f8cb35b3 100644
--- a/buildSrc/src/main/kotlin/space/kscience/kmath/ejml/codegen/ejmlCodegen.kt
+++ b/buildSrc/src/main/kotlin/space/kscience/kmath/ejml/codegen/ejmlCodegen.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 @file:Suppress("KDocUnresolvedReference")
diff --git a/docs/images/KM.svg b/docs/images/KM.svg
index f5ec452c7..6f80e4d08 100644
--- a/docs/images/KM.svg
+++ b/docs/images/KM.svg
@@ -1,7 +1,7 @@
 <?xml version="1.0" encoding="UTF-8" standalone="no"?>
 <!--
   - Copyright 2018-2021 KMath contributors.
-  - Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+  - Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
   -->
 
 <svg
diff --git a/docs/images/KM_mono.svg b/docs/images/KM_mono.svg
index e583324d7..8f8e470b2 100644
--- a/docs/images/KM_mono.svg
+++ b/docs/images/KM_mono.svg
@@ -1,7 +1,7 @@
 <?xml version="1.0" encoding="UTF-8" standalone="no"?>
 <!--
   - Copyright 2018-2021 KMath contributors.
-  - Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+  - Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
   -->
 
 <svg
diff --git a/docs/images/KMath.svg b/docs/images/KMath.svg
index e99464a17..f751d8eb9 100644
--- a/docs/images/KMath.svg
+++ b/docs/images/KMath.svg
@@ -1,7 +1,7 @@
 <?xml version="1.0" encoding="UTF-8" standalone="no"?>
 <!--
   - Copyright 2018-2021 KMath contributors.
-  - Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+  - Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
   -->
 
 <svg
diff --git a/docs/images/KMath_mono.svg b/docs/images/KMath_mono.svg
index 3ef61bbf1..8ca6c5e84 100644
--- a/docs/images/KMath_mono.svg
+++ b/docs/images/KMath_mono.svg
@@ -1,7 +1,7 @@
 <?xml version="1.0" encoding="UTF-8" standalone="no"?>
 <!--
   - Copyright 2018-2021 KMath contributors.
-  - Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+  - Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
   -->
 
 <svg
diff --git a/examples/src/main/kotlin/space/kscience/kmath/ast/astRendering.kt b/examples/src/main/kotlin/space/kscience/kmath/ast/astRendering.kt
index 0c16d82d1..c4f263f97 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/ast/astRendering.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/ast/astRendering.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.ast
diff --git a/examples/src/main/kotlin/space/kscience/kmath/ast/expressions.kt b/examples/src/main/kotlin/space/kscience/kmath/ast/expressions.kt
index 3c68f9bb5..ffafdc99d 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/ast/expressions.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/ast/expressions.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.ast
diff --git a/examples/src/main/kotlin/space/kscience/kmath/ast/kotlingradSupport.kt b/examples/src/main/kotlin/space/kscience/kmath/ast/kotlingradSupport.kt
index 4e3528b3e..dec3bfb81 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/ast/kotlingradSupport.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/ast/kotlingradSupport.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.ast
diff --git a/examples/src/main/kotlin/space/kscience/kmath/ast/symjaSupport.kt b/examples/src/main/kotlin/space/kscience/kmath/ast/symjaSupport.kt
index 209523c89..7e09faeff 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/ast/symjaSupport.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/ast/symjaSupport.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.ast
diff --git a/examples/src/main/kotlin/space/kscience/kmath/fit/chiSquared.kt b/examples/src/main/kotlin/space/kscience/kmath/fit/chiSquared.kt
index dbe0b8454..63e57bd8c 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/fit/chiSquared.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/fit/chiSquared.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.fit
diff --git a/examples/src/main/kotlin/space/kscience/kmath/functions/integrate.kt b/examples/src/main/kotlin/space/kscience/kmath/functions/integrate.kt
index c77d1d70c..f60b1ab45 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/functions/integrate.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/functions/integrate.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.functions
diff --git a/examples/src/main/kotlin/space/kscience/kmath/functions/interpolate.kt b/examples/src/main/kotlin/space/kscience/kmath/functions/interpolate.kt
index a98467ced..8dbc7b7a4 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/functions/interpolate.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/functions/interpolate.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.functions
diff --git a/examples/src/main/kotlin/space/kscience/kmath/functions/interpolateSquare.kt b/examples/src/main/kotlin/space/kscience/kmath/functions/interpolateSquare.kt
index 3f958b3b0..091242829 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/functions/interpolateSquare.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/functions/interpolateSquare.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.functions
diff --git a/examples/src/main/kotlin/space/kscience/kmath/functions/matrixIntegration.kt b/examples/src/main/kotlin/space/kscience/kmath/functions/matrixIntegration.kt
index 4b6ac475c..4f99aeb47 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/functions/matrixIntegration.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/functions/matrixIntegration.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.functions
diff --git a/examples/src/main/kotlin/space/kscience/kmath/jafama/JafamaDemo.kt b/examples/src/main/kotlin/space/kscience/kmath/jafama/JafamaDemo.kt
index 10ed30728..9c3d0fdbe 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/jafama/JafamaDemo.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/jafama/JafamaDemo.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.jafama
diff --git a/examples/src/main/kotlin/space/kscience/kmath/linear/dotPerformance.kt b/examples/src/main/kotlin/space/kscience/kmath/linear/dotPerformance.kt
index 6e8767a5b..a2d7d7c27 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/linear/dotPerformance.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/linear/dotPerformance.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.linear
diff --git a/examples/src/main/kotlin/space/kscience/kmath/linear/gradient.kt b/examples/src/main/kotlin/space/kscience/kmath/linear/gradient.kt
index afc42ea26..a01ea7fe2 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/linear/gradient.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/linear/gradient.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.linear
diff --git a/examples/src/main/kotlin/space/kscience/kmath/operations/BigIntDemo.kt b/examples/src/main/kotlin/space/kscience/kmath/operations/BigIntDemo.kt
index 2039953b5..51f439612 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/operations/BigIntDemo.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/operations/BigIntDemo.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.operations
diff --git a/examples/src/main/kotlin/space/kscience/kmath/operations/complexDemo.kt b/examples/src/main/kotlin/space/kscience/kmath/operations/complexDemo.kt
index 3b9c32f4b..2e1801cc2 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/operations/complexDemo.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/operations/complexDemo.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.operations
diff --git a/examples/src/main/kotlin/space/kscience/kmath/operations/mixedNDOperations.kt b/examples/src/main/kotlin/space/kscience/kmath/operations/mixedNDOperations.kt
index f517046ee..62c9c8076 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/operations/mixedNDOperations.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/operations/mixedNDOperations.kt
@@ -1,3 +1,8 @@
+/*
+ * Copyright 2018-2021 KMath contributors.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
+ */
+
 package space.kscience.kmath.operations
 
 import space.kscience.kmath.commons.linear.CMLinearSpace
diff --git a/examples/src/main/kotlin/space/kscience/kmath/stat/DistributionBenchmark.kt b/examples/src/main/kotlin/space/kscience/kmath/stat/DistributionBenchmark.kt
index 732c9a8e3..8e3cdf86f 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/stat/DistributionBenchmark.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/stat/DistributionBenchmark.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.stat
diff --git a/examples/src/main/kotlin/space/kscience/kmath/stat/DistributionDemo.kt b/examples/src/main/kotlin/space/kscience/kmath/stat/DistributionDemo.kt
index 685214c39..bde83cea9 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/stat/DistributionDemo.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/stat/DistributionDemo.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.stat
diff --git a/examples/src/main/kotlin/space/kscience/kmath/structures/ComplexND.kt b/examples/src/main/kotlin/space/kscience/kmath/structures/ComplexND.kt
index 61df3d065..d55f3df09 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/structures/ComplexND.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/structures/ComplexND.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 @file:Suppress("unused")
diff --git a/examples/src/main/kotlin/space/kscience/kmath/structures/NDField.kt b/examples/src/main/kotlin/space/kscience/kmath/structures/NDField.kt
index cf0721ce7..b680e267d 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/structures/NDField.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/structures/NDField.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.structures
diff --git a/examples/src/main/kotlin/space/kscience/kmath/structures/StreamDoubleFieldND.kt b/examples/src/main/kotlin/space/kscience/kmath/structures/StreamDoubleFieldND.kt
index 05a13f5d2..548fb16c1 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/structures/StreamDoubleFieldND.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/structures/StreamDoubleFieldND.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.structures
diff --git a/examples/src/main/kotlin/space/kscience/kmath/structures/StructureReadBenchmark.kt b/examples/src/main/kotlin/space/kscience/kmath/structures/StructureReadBenchmark.kt
index db77129a2..de36c664d 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/structures/StructureReadBenchmark.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/structures/StructureReadBenchmark.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.structures
diff --git a/examples/src/main/kotlin/space/kscience/kmath/structures/StructureWriteBenchmark.kt b/examples/src/main/kotlin/space/kscience/kmath/structures/StructureWriteBenchmark.kt
index 84644ddd9..dea7095a8 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/structures/StructureWriteBenchmark.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/structures/StructureWriteBenchmark.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.structures
diff --git a/examples/src/main/kotlin/space/kscience/kmath/structures/typeSafeDimensions.kt b/examples/src/main/kotlin/space/kscience/kmath/structures/typeSafeDimensions.kt
index 853ebad32..c28b566b9 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/structures/typeSafeDimensions.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/structures/typeSafeDimensions.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.structures
diff --git a/examples/src/main/kotlin/space/kscience/kmath/tensors/OLSWithSVD.kt b/examples/src/main/kotlin/space/kscience/kmath/tensors/OLSWithSVD.kt
index a266d4849..b42602988 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/tensors/OLSWithSVD.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/tensors/OLSWithSVD.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.tensors
diff --git a/examples/src/main/kotlin/space/kscience/kmath/tensors/PCA.kt b/examples/src/main/kotlin/space/kscience/kmath/tensors/PCA.kt
index d83d47805..aced0cf7d 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/tensors/PCA.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/tensors/PCA.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.tensors
diff --git a/examples/src/main/kotlin/space/kscience/kmath/tensors/dataSetNormalization.kt b/examples/src/main/kotlin/space/kscience/kmath/tensors/dataSetNormalization.kt
index 9d5b8c2a5..a436ae1c3 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/tensors/dataSetNormalization.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/tensors/dataSetNormalization.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.tensors
diff --git a/examples/src/main/kotlin/space/kscience/kmath/tensors/linearSystemSolvingWithLUP.kt b/examples/src/main/kotlin/space/kscience/kmath/tensors/linearSystemSolvingWithLUP.kt
index 846e338da..f465fc424 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/tensors/linearSystemSolvingWithLUP.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/tensors/linearSystemSolvingWithLUP.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.tensors
diff --git a/examples/src/main/kotlin/space/kscience/kmath/tensors/multik.kt b/examples/src/main/kotlin/space/kscience/kmath/tensors/multik.kt
index fad68fa96..f2d1f0b41 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/tensors/multik.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/tensors/multik.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.tensors
diff --git a/examples/src/main/kotlin/space/kscience/kmath/tensors/neuralNetwork.kt b/examples/src/main/kotlin/space/kscience/kmath/tensors/neuralNetwork.kt
index 1a2a94534..5c41ab0f1 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/tensors/neuralNetwork.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/tensors/neuralNetwork.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.tensors
diff --git a/gradlew b/gradlew
index 744e882ed..1b6c78733 100755
--- a/gradlew
+++ b/gradlew
@@ -1,7 +1,7 @@
-#!/usr/bin/env sh
+#!/bin/sh
 
 #
-# Copyright 2015 the original author or authors.
+# Copyright © 2015-2021 the original authors.
 #
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
@@ -17,67 +17,101 @@
 #
 
 ##############################################################################
-##
-##  Gradle start up script for UN*X
-##
+#
+#   Gradle start up script for POSIX generated by Gradle.
+#
+#   Important for running:
+#
+#   (1) You need a POSIX-compliant shell to run this script. If your /bin/sh is
+#       noncompliant, but you have some other compliant shell such as ksh or
+#       bash, then to run this script, type that shell name before the whole
+#       command line, like:
+#
+#           ksh Gradle
+#
+#       Busybox and similar reduced shells will NOT work, because this script
+#       requires all of these POSIX shell features:
+#         * functions;
+#         * expansions «$var», «${var}», «${var:-default}», «${var+SET}»,
+#           «${var#prefix}», «${var%suffix}», and «$( cmd )»;
+#         * compound commands having a testable exit status, especially «case»;
+#         * various built-in commands including «command», «set», and «ulimit».
+#
+#   Important for patching:
+#
+#   (2) This script targets any POSIX shell, so it avoids extensions provided
+#       by Bash, Ksh, etc; in particular arrays are avoided.
+#
+#       The "traditional" practice of packing multiple parameters into a
+#       space-separated string is a well documented source of bugs and security
+#       problems, so this is (mostly) avoided, by progressively accumulating
+#       options in "$@", and eventually passing that to Java.
+#
+#       Where the inherited environment variables (DEFAULT_JVM_OPTS, JAVA_OPTS,
+#       and GRADLE_OPTS) rely on word-splitting, this is performed explicitly;
+#       see the in-line comments for details.
+#
+#       There are tweaks for specific operating systems such as AIX, CygWin,
+#       Darwin, MinGW, and NonStop.
+#
+#   (3) This script is generated from the Groovy template
+#       https://github.com/gradle/gradle/blob/master/subprojects/plugins/src/main/resources/org/gradle/api/internal/plugins/unixStartScript.txt
+#       within the Gradle project.
+#
+#       You can find Gradle at https://github.com/gradle/gradle/.
+#
 ##############################################################################
 
 # Attempt to set APP_HOME
+
 # Resolve links: $0 may be a link
-PRG="$0"
-# Need this for relative symlinks.
-while [ -h "$PRG" ] ; do
-    ls=`ls -ld "$PRG"`
-    link=`expr "$ls" : '.*-> \(.*\)$'`
-    if expr "$link" : '/.*' > /dev/null; then
-        PRG="$link"
-    else
-        PRG=`dirname "$PRG"`"/$link"
-    fi
+app_path=$0
+
+# Need this for daisy-chained symlinks.
+while
+    APP_HOME=${app_path%"${app_path##*/}"}  # leaves a trailing /; empty if no leading path
+    [ -h "$app_path" ]
+do
+    ls=$( ls -ld "$app_path" )
+    link=${ls#*' -> '}
+    case $link in             #(
+      /*)   app_path=$link ;; #(
+      *)    app_path=$APP_HOME$link ;;
+    esac
 done
-SAVED="`pwd`"
-cd "`dirname \"$PRG\"`/" >/dev/null
-APP_HOME="`pwd -P`"
-cd "$SAVED" >/dev/null
+
+APP_HOME=$( cd "${APP_HOME:-./}" && pwd -P ) || exit
 
 APP_NAME="Gradle"
-APP_BASE_NAME=`basename "$0"`
+APP_BASE_NAME=${0##*/}
 
 # Add default JVM options here. You can also use JAVA_OPTS and GRADLE_OPTS to pass JVM options to this script.
 DEFAULT_JVM_OPTS='"-Xmx64m" "-Xms64m"'
 
 # Use the maximum available, or set MAX_FD != -1 to use that value.
-MAX_FD="maximum"
+MAX_FD=maximum
 
 warn () {
     echo "$*"
-}
+} >&2
 
 die () {
     echo
     echo "$*"
     echo
     exit 1
-}
+} >&2
 
 # OS specific support (must be 'true' or 'false').
 cygwin=false
 msys=false
 darwin=false
 nonstop=false
-case "`uname`" in
-  CYGWIN* )
-    cygwin=true
-    ;;
-  Darwin* )
-    darwin=true
-    ;;
-  MSYS* | MINGW* )
-    msys=true
-    ;;
-  NONSTOP* )
-    nonstop=true
-    ;;
+case "$( uname )" in                #(
+  CYGWIN* )         cygwin=true  ;; #(
+  Darwin* )         darwin=true  ;; #(
+  MSYS* | MINGW* )  msys=true    ;; #(
+  NONSTOP* )        nonstop=true ;;
 esac
 
 CLASSPATH=$APP_HOME/gradle/wrapper/gradle-wrapper.jar
@@ -87,9 +121,9 @@ CLASSPATH=$APP_HOME/gradle/wrapper/gradle-wrapper.jar
 if [ -n "$JAVA_HOME" ] ; then
     if [ -x "$JAVA_HOME/jre/sh/java" ] ; then
         # IBM's JDK on AIX uses strange locations for the executables
-        JAVACMD="$JAVA_HOME/jre/sh/java"
+        JAVACMD=$JAVA_HOME/jre/sh/java
     else
-        JAVACMD="$JAVA_HOME/bin/java"
+        JAVACMD=$JAVA_HOME/bin/java
     fi
     if [ ! -x "$JAVACMD" ] ; then
         die "ERROR: JAVA_HOME is set to an invalid directory: $JAVA_HOME
@@ -98,7 +132,7 @@ Please set the JAVA_HOME variable in your environment to match the
 location of your Java installation."
     fi
 else
-    JAVACMD="java"
+    JAVACMD=java
     which java >/dev/null 2>&1 || die "ERROR: JAVA_HOME is not set and no 'java' command could be found in your PATH.
 
 Please set the JAVA_HOME variable in your environment to match the
@@ -106,80 +140,95 @@ location of your Java installation."
 fi
 
 # Increase the maximum file descriptors if we can.
-if [ "$cygwin" = "false" -a "$darwin" = "false" -a "$nonstop" = "false" ] ; then
-    MAX_FD_LIMIT=`ulimit -H -n`
-    if [ $? -eq 0 ] ; then
-        if [ "$MAX_FD" = "maximum" -o "$MAX_FD" = "max" ] ; then
-            MAX_FD="$MAX_FD_LIMIT"
-        fi
-        ulimit -n $MAX_FD
-        if [ $? -ne 0 ] ; then
-            warn "Could not set maximum file descriptor limit: $MAX_FD"
-        fi
-    else
-        warn "Could not query maximum file descriptor limit: $MAX_FD_LIMIT"
-    fi
-fi
-
-# For Darwin, add options to specify how the application appears in the dock
-if $darwin; then
-    GRADLE_OPTS="$GRADLE_OPTS \"-Xdock:name=$APP_NAME\" \"-Xdock:icon=$APP_HOME/media/gradle.icns\""
-fi
-
-# For Cygwin or MSYS, switch paths to Windows format before running java
-if [ "$cygwin" = "true" -o "$msys" = "true" ] ; then
-    APP_HOME=`cygpath --path --mixed "$APP_HOME"`
-    CLASSPATH=`cygpath --path --mixed "$CLASSPATH"`
-
-    JAVACMD=`cygpath --unix "$JAVACMD"`
-
-    # We build the pattern for arguments to be converted via cygpath
-    ROOTDIRSRAW=`find -L / -maxdepth 1 -mindepth 1 -type d 2>/dev/null`
-    SEP=""
-    for dir in $ROOTDIRSRAW ; do
-        ROOTDIRS="$ROOTDIRS$SEP$dir"
-        SEP="|"
-    done
-    OURCYGPATTERN="(^($ROOTDIRS))"
-    # Add a user-defined pattern to the cygpath arguments
-    if [ "$GRADLE_CYGPATTERN" != "" ] ; then
-        OURCYGPATTERN="$OURCYGPATTERN|($GRADLE_CYGPATTERN)"
-    fi
-    # Now convert the arguments - kludge to limit ourselves to /bin/sh
-    i=0
-    for arg in "$@" ; do
-        CHECK=`echo "$arg"|egrep -c "$OURCYGPATTERN" -`
-        CHECK2=`echo "$arg"|egrep -c "^-"`                                 ### Determine if an option
-
-        if [ $CHECK -ne 0 ] && [ $CHECK2 -eq 0 ] ; then                    ### Added a condition
-            eval `echo args$i`=`cygpath --path --ignore --mixed "$arg"`
-        else
-            eval `echo args$i`="\"$arg\""
-        fi
-        i=`expr $i + 1`
-    done
-    case $i in
-        0) set -- ;;
-        1) set -- "$args0" ;;
-        2) set -- "$args0" "$args1" ;;
-        3) set -- "$args0" "$args1" "$args2" ;;
-        4) set -- "$args0" "$args1" "$args2" "$args3" ;;
-        5) set -- "$args0" "$args1" "$args2" "$args3" "$args4" ;;
-        6) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" ;;
-        7) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" ;;
-        8) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" "$args7" ;;
-        9) set -- "$args0" "$args1" "$args2" "$args3" "$args4" "$args5" "$args6" "$args7" "$args8" ;;
+if ! "$cygwin" && ! "$darwin" && ! "$nonstop" ; then
+    case $MAX_FD in #(
+      max*)
+        MAX_FD=$( ulimit -H -n ) ||
+            warn "Could not query maximum file descriptor limit"
+    esac
+    case $MAX_FD in  #(
+      '' | soft) :;; #(
+      *)
+        ulimit -n "$MAX_FD" ||
+            warn "Could not set maximum file descriptor limit to $MAX_FD"
     esac
 fi
 
-# Escape application args
-save () {
-    for i do printf %s\\n "$i" | sed "s/'/'\\\\''/g;1s/^/'/;\$s/\$/' \\\\/" ; done
-    echo " "
-}
-APP_ARGS=`save "$@"`
+# Collect all arguments for the java command, stacking in reverse order:
+#   * args from the command line
+#   * the main class name
+#   * -classpath
+#   * -D...appname settings
+#   * --module-path (only if needed)
+#   * DEFAULT_JVM_OPTS, JAVA_OPTS, and GRADLE_OPTS environment variables.
 
-# Collect all arguments for the java command, following the shell quoting and substitution rules
-eval set -- $DEFAULT_JVM_OPTS $JAVA_OPTS $GRADLE_OPTS "\"-Dorg.gradle.appname=$APP_BASE_NAME\"" -classpath "\"$CLASSPATH\"" org.gradle.wrapper.GradleWrapperMain "$APP_ARGS"
+# For Cygwin or MSYS, switch paths to Windows format before running java
+if "$cygwin" || "$msys" ; then
+    APP_HOME=$( cygpath --path --mixed "$APP_HOME" )
+    CLASSPATH=$( cygpath --path --mixed "$CLASSPATH" )
+
+    JAVACMD=$( cygpath --unix "$JAVACMD" )
+
+    # Now convert the arguments - kludge to limit ourselves to /bin/sh
+    for arg do
+        if
+            case $arg in                                #(
+              -*)   false ;;                            # don't mess with options #(
+              /?*)  t=${arg#/} t=/${t%%/*}              # looks like a POSIX filepath
+                    [ -e "$t" ] ;;                      #(
+              *)    false ;;
+            esac
+        then
+            arg=$( cygpath --path --ignore --mixed "$arg" )
+        fi
+        # Roll the args list around exactly as many times as the number of
+        # args, so each arg winds up back in the position where it started, but
+        # possibly modified.
+        #
+        # NB: a `for` loop captures its iteration list before it begins, so
+        # changing the positional parameters here affects neither the number of
+        # iterations, nor the values presented in `arg`.
+        shift                   # remove old arg
+        set -- "$@" "$arg"      # push replacement arg
+    done
+fi
+
+# Collect all arguments for the java command;
+#   * $DEFAULT_JVM_OPTS, $JAVA_OPTS, and $GRADLE_OPTS can contain fragments of
+#     shell script including quotes and variable substitutions, so put them in
+#     double quotes to make sure that they get re-expanded; and
+#   * put everything else in single quotes, so that it's not re-expanded.
+
+set -- \
+        "-Dorg.gradle.appname=$APP_BASE_NAME" \
+        -classpath "$CLASSPATH" \
+        org.gradle.wrapper.GradleWrapperMain \
+        "$@"
+
+# Use "xargs" to parse quoted args.
+#
+# With -n1 it outputs one arg per line, with the quotes and backslashes removed.
+#
+# In Bash we could simply go:
+#
+#   readarray ARGS < <( xargs -n1 <<<"$var" ) &&
+#   set -- "${ARGS[@]}" "$@"
+#
+# but POSIX shell has neither arrays nor command substitution, so instead we
+# post-process each arg (as a line of input to sed) to backslash-escape any
+# character that might be a shell metacharacter, then use eval to reverse
+# that process (while maintaining the separation between arguments), and wrap
+# the whole thing up as a single "set" statement.
+#
+# This will of course break if any of these variables contains a newline or
+# an unmatched quote.
+#
+
+eval "set -- $(
+        printf '%s\n' "$DEFAULT_JVM_OPTS $JAVA_OPTS $GRADLE_OPTS" |
+        xargs -n1 |
+        sed ' s~[^-[:alnum:]+,./:=@_]~\\&~g; ' |
+        tr '\n' ' '
+    )" '"$@"'
 
 exec "$JAVACMD" "$@"
diff --git a/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/parser.kt b/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/parser.kt
index 7f2780548..6ebd0eff6 100644
--- a/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/parser.kt
+++ b/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/parser.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.ast
diff --git a/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/LatexSyntaxRenderer.kt b/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/LatexSyntaxRenderer.kt
index bf5916fa5..2df3d3cc7 100644
--- a/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/LatexSyntaxRenderer.kt
+++ b/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/LatexSyntaxRenderer.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.ast.rendering
diff --git a/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/MathMLSyntaxRenderer.kt b/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/MathMLSyntaxRenderer.kt
index 5439c42fa..8b5819b84 100644
--- a/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/MathMLSyntaxRenderer.kt
+++ b/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/MathMLSyntaxRenderer.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.ast.rendering
diff --git a/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/MathRenderer.kt b/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/MathRenderer.kt
index 24bac425a..fdef35ebd 100644
--- a/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/MathRenderer.kt
+++ b/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/MathRenderer.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.ast.rendering
diff --git a/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/MathSyntax.kt b/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/MathSyntax.kt
index 81b7d2afb..ee23ab408 100644
--- a/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/MathSyntax.kt
+++ b/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/MathSyntax.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.ast.rendering
diff --git a/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/SyntaxRenderer.kt b/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/SyntaxRenderer.kt
index 2f285c600..362c07d72 100644
--- a/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/SyntaxRenderer.kt
+++ b/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/SyntaxRenderer.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.ast.rendering
diff --git a/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/features.kt b/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/features.kt
index 8b76b6f19..90f78a152 100644
--- a/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/features.kt
+++ b/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/features.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.ast.rendering
diff --git a/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/multiplatformToString.kt b/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/multiplatformToString.kt
index 3e33d6415..291399cee 100644
--- a/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/multiplatformToString.kt
+++ b/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/multiplatformToString.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.ast.rendering
diff --git a/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/phases.kt b/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/phases.kt
index ecea2d104..c0271fbb5 100644
--- a/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/phases.kt
+++ b/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/rendering/phases.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.ast.rendering
diff --git a/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestCompilerConsistencyWithInterpreter.kt b/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestCompilerConsistencyWithInterpreter.kt
index 802d4c10e..1edb5923e 100644
--- a/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestCompilerConsistencyWithInterpreter.kt
+++ b/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestCompilerConsistencyWithInterpreter.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.ast
diff --git a/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestCompilerOperations.kt b/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestCompilerOperations.kt
index 00344410c..be8a92f3e 100644
--- a/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestCompilerOperations.kt
+++ b/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestCompilerOperations.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.ast
diff --git a/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestCompilerVariables.kt b/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestCompilerVariables.kt
index 8d9a2301f..af1a2e338 100644
--- a/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestCompilerVariables.kt
+++ b/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestCompilerVariables.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.ast
diff --git a/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestParser.kt b/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestParser.kt
index 4c834a9ca..b838245e1 100644
--- a/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestParser.kt
+++ b/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestParser.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.ast
diff --git a/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestParserPrecedence.kt b/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestParserPrecedence.kt
index 9776da45c..bb6bb3ce1 100644
--- a/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestParserPrecedence.kt
+++ b/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestParserPrecedence.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.ast
diff --git a/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/rendering/TestFeatures.kt b/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/rendering/TestFeatures.kt
index ae429d97e..a40c785b9 100644
--- a/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/rendering/TestFeatures.kt
+++ b/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/rendering/TestFeatures.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.ast.rendering
diff --git a/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/rendering/TestLatex.kt b/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/rendering/TestLatex.kt
index aba713c43..43f31baba 100644
--- a/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/rendering/TestLatex.kt
+++ b/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/rendering/TestLatex.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.ast.rendering
diff --git a/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/rendering/TestMathML.kt b/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/rendering/TestMathML.kt
index 658ecd47a..145055494 100644
--- a/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/rendering/TestMathML.kt
+++ b/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/rendering/TestMathML.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.ast.rendering
diff --git a/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/rendering/TestStages.kt b/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/rendering/TestStages.kt
index 4485605a6..09ec127c7 100644
--- a/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/rendering/TestStages.kt
+++ b/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/rendering/TestStages.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.ast.rendering
diff --git a/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/rendering/TestUtils.kt b/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/rendering/TestUtils.kt
index 6b418821b..bf87b6fd0 100644
--- a/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/rendering/TestUtils.kt
+++ b/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/rendering/TestUtils.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.ast.rendering
diff --git a/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/utils.kt b/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/utils.kt
index ef9f3145a..ec7436188 100644
--- a/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/utils.kt
+++ b/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/utils.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.ast
diff --git a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/ast/rendering/multiplatformToString.kt b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/ast/rendering/multiplatformToString.kt
index 2e69a536f..521907d2c 100644
--- a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/ast/rendering/multiplatformToString.kt
+++ b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/ast/rendering/multiplatformToString.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.ast.rendering
diff --git a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/estree/estree.kt b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/estree/estree.kt
index 316fdeeff..0c15e994c 100644
--- a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/estree/estree.kt
+++ b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/estree/estree.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.estree
diff --git a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/estree/internal/ESTreeBuilder.kt b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/estree/internal/ESTreeBuilder.kt
index 850f20be7..4907d8225 100644
--- a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/estree/internal/ESTreeBuilder.kt
+++ b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/estree/internal/ESTreeBuilder.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.estree.internal
diff --git a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/estree/internal/astring/astring.typealises.kt b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/estree/internal/astring/astring.typealises.kt
index c7faf73e0..eb5c1e3dd 100644
--- a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/estree/internal/astring/astring.typealises.kt
+++ b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/estree/internal/astring/astring.typealises.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.estree.internal.astring
diff --git a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/astring/astring.kt b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/astring/astring.kt
index c36860654..cca2d83af 100644
--- a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/astring/astring.kt
+++ b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/astring/astring.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 @file:JsModule("astring")
diff --git a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/astring/astring.typealises.kt b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/astring/astring.typealises.kt
index 0a5b059ba..93b4f6ce6 100644
--- a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/astring/astring.typealises.kt
+++ b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/astring/astring.typealises.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.internal.astring
diff --git a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/base64/base64.kt b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/base64/base64.kt
index 26186c453..86e0cede7 100644
--- a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/base64/base64.kt
+++ b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/base64/base64.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 @file:Suppress(
diff --git a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/binaryen/index.binaryen.kt b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/binaryen/index.binaryen.kt
index 13e3a49e2..42b6ac7d8 100644
--- a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/binaryen/index.binaryen.kt
+++ b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/binaryen/index.binaryen.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 @file:Suppress(
diff --git a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/binaryen/index.binaryen.typealiases.kt b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/binaryen/index.binaryen.typealiases.kt
index 8e449627c..523b13b40 100644
--- a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/binaryen/index.binaryen.typealiases.kt
+++ b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/binaryen/index.binaryen.typealiases.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 @file:Suppress("PackageDirectoryMismatch", "NO_EXPLICIT_VISIBILITY_IN_API_MODE_WARNING", "KDocMissingDocumentation")
diff --git a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/emitter/emitter.kt b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/emitter/emitter.kt
index d85857de8..1f7b09af8 100644
--- a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/emitter/emitter.kt
+++ b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/emitter/emitter.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.internal.emitter
diff --git a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/estree/estree.extensions.kt b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/estree/estree.extensions.kt
index 122a3a397..3aa31f921 100644
--- a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/estree/estree.extensions.kt
+++ b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/estree/estree.extensions.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.internal.estree
diff --git a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/estree/estree.kt b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/estree/estree.kt
index ad079dbd0..b62b8c06c 100644
--- a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/estree/estree.kt
+++ b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/estree/estree.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 @file:Suppress("ClassName")
diff --git a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/stream/stream.kt b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/stream/stream.kt
index caab91731..52be5530f 100644
--- a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/stream/stream.kt
+++ b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/stream/stream.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.internal.stream
diff --git a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/tsstdlib/lib.es2015.iterable.kt b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/tsstdlib/lib.es2015.iterable.kt
index 5c091e3a1..9c012e3a3 100644
--- a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/tsstdlib/lib.es2015.iterable.kt
+++ b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/tsstdlib/lib.es2015.iterable.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.internal.tsstdlib
diff --git a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/tsstdlib/lib.es5.kt b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/tsstdlib/lib.es5.kt
index bb7fd44ca..0cd395f2c 100644
--- a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/tsstdlib/lib.es5.kt
+++ b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/tsstdlib/lib.es5.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 @file:Suppress("UNUSED_TYPEALIAS_PARAMETER", "DEPRECATION")
diff --git a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/webassembly/lib.dom.WebAssembly.module_dukat.kt b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/webassembly/lib.dom.WebAssembly.module_dukat.kt
index 52dd64a5e..3754c3eff 100644
--- a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/webassembly/lib.dom.WebAssembly.module_dukat.kt
+++ b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/webassembly/lib.dom.WebAssembly.module_dukat.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 @file:JsQualifier("WebAssembly")
diff --git a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/webassembly/nonDeclarations.WebAssembly.kt b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/webassembly/nonDeclarations.WebAssembly.kt
index d59a52701..c5023c384 100644
--- a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/webassembly/nonDeclarations.WebAssembly.kt
+++ b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/webassembly/nonDeclarations.WebAssembly.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 @file:Suppress(
diff --git a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/internal/WasmBuilder.kt b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/internal/WasmBuilder.kt
index 6039d5c27..622e6e6ec 100644
--- a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/internal/WasmBuilder.kt
+++ b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/internal/WasmBuilder.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.wasm.internal
diff --git a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/internal/f64StandardFunctions.kt b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/internal/f64StandardFunctions.kt
index fe9c22c18..21a88b5d0 100644
--- a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/internal/f64StandardFunctions.kt
+++ b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/internal/f64StandardFunctions.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.wasm.internal
diff --git a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/wasm.kt b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/wasm.kt
index 393a02e3d..806091715 100644
--- a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/wasm.kt
+++ b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/wasm.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.wasm
diff --git a/kmath-ast/src/jsTest/kotlin/space/kscience/kmath/ast/TestExecutionTime.kt b/kmath-ast/src/jsTest/kotlin/space/kscience/kmath/ast/TestExecutionTime.kt
index f8c429d5a..8cfa3a87e 100644
--- a/kmath-ast/src/jsTest/kotlin/space/kscience/kmath/ast/TestExecutionTime.kt
+++ b/kmath-ast/src/jsTest/kotlin/space/kscience/kmath/ast/TestExecutionTime.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.ast
diff --git a/kmath-ast/src/jsTest/kotlin/space/kscience/kmath/ast/utils.kt b/kmath-ast/src/jsTest/kotlin/space/kscience/kmath/ast/utils.kt
index 3c2a9bd13..0d896c6f6 100644
--- a/kmath-ast/src/jsTest/kotlin/space/kscience/kmath/ast/utils.kt
+++ b/kmath-ast/src/jsTest/kotlin/space/kscience/kmath/ast/utils.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.ast
diff --git a/kmath-ast/src/jsTest/kotlin/space/kscience/kmath/wasm/TestWasmSpecific.kt b/kmath-ast/src/jsTest/kotlin/space/kscience/kmath/wasm/TestWasmSpecific.kt
index 6c91df866..8ae5fcb36 100644
--- a/kmath-ast/src/jsTest/kotlin/space/kscience/kmath/wasm/TestWasmSpecific.kt
+++ b/kmath-ast/src/jsTest/kotlin/space/kscience/kmath/wasm/TestWasmSpecific.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.wasm
diff --git a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/asm.kt b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/asm.kt
index 19b400cbd..c39345f3a 100644
--- a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/asm.kt
+++ b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/asm.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 @file:Suppress("UNUSED_PARAMETER")
diff --git a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/AsmBuilder.kt b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/AsmBuilder.kt
index 2a7b3dea9..7d3d513de 100644
--- a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/AsmBuilder.kt
+++ b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/AsmBuilder.kt
@@ -1,3 +1,8 @@
+/*
+ * Copyright 2018-2021 KMath contributors.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
+ */
+
 package space.kscience.kmath.asm.internal
 
 import org.objectweb.asm.Type
diff --git a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/ByteArrayClassLoader.kt b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/ByteArrayClassLoader.kt
index afff48ef6..10eee7c6b 100644
--- a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/ByteArrayClassLoader.kt
+++ b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/ByteArrayClassLoader.kt
@@ -1 +1,6 @@
+/*
+ * Copyright 2018-2021 KMath contributors.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
+ */
+
 package space.kscience.kmath.asm.internal
diff --git a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/GenericAsmBuilder.kt b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/GenericAsmBuilder.kt
index 1b45b0625..28f4a226f 100644
--- a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/GenericAsmBuilder.kt
+++ b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/GenericAsmBuilder.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.asm.internal
diff --git a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/PrimitiveAsmBuilder.kt b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/PrimitiveAsmBuilder.kt
index 2819368ed..3e019589a 100644
--- a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/PrimitiveAsmBuilder.kt
+++ b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/PrimitiveAsmBuilder.kt
@@ -1,3 +1,8 @@
+/*
+ * Copyright 2018-2021 KMath contributors.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
+ */
+
 package space.kscience.kmath.asm.internal
 
 import org.objectweb.asm.ClassWriter
diff --git a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/codegenUtils.kt b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/codegenUtils.kt
index 5e2e7d8c6..06e040e93 100644
--- a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/codegenUtils.kt
+++ b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/codegenUtils.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.asm.internal
diff --git a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/mapIntrinsics.kt b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/mapIntrinsics.kt
index b8a2a9669..3a5ef74f7 100644
--- a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/mapIntrinsics.kt
+++ b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/mapIntrinsics.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 @file:JvmName("MapIntrinsics")
diff --git a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/ast/rendering/multiplatformToString.kt b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/ast/rendering/multiplatformToString.kt
index 3e5253084..556adbe7d 100644
--- a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/ast/rendering/multiplatformToString.kt
+++ b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/ast/rendering/multiplatformToString.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.ast.rendering
diff --git a/kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/ast/utils.kt b/kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/ast/utils.kt
index 1ea4cd0be..47f1cc476 100644
--- a/kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/ast/utils.kt
+++ b/kmath-ast/src/jvmTest/kotlin/space/kscience/kmath/ast/utils.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.ast
diff --git a/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/expressions/DerivativeStructureExpression.kt b/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/expressions/DerivativeStructureExpression.kt
index 4d2bd6237..82694d95a 100644
--- a/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/expressions/DerivativeStructureExpression.kt
+++ b/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/expressions/DerivativeStructureExpression.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.commons.expressions
diff --git a/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/integration/CMGaussRuleIntegrator.kt b/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/integration/CMGaussRuleIntegrator.kt
index 5152b04f9..e0a2f4931 100644
--- a/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/integration/CMGaussRuleIntegrator.kt
+++ b/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/integration/CMGaussRuleIntegrator.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 package space.kscience.kmath.commons.integration
 
diff --git a/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/integration/CMIntegrator.kt b/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/integration/CMIntegrator.kt
index 76a2f297c..257429fa7 100644
--- a/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/integration/CMIntegrator.kt
+++ b/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/integration/CMIntegrator.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.commons.integration
diff --git a/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/linear/CMMatrix.kt b/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/linear/CMMatrix.kt
index 14e7fc365..aa7e0a638 100644
--- a/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/linear/CMMatrix.kt
+++ b/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/linear/CMMatrix.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.commons.linear
diff --git a/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/linear/CMSolver.kt b/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/linear/CMSolver.kt
index d1fb441b0..9bb5deffd 100644
--- a/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/linear/CMSolver.kt
+++ b/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/linear/CMSolver.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.commons.linear
diff --git a/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/random/CMRandomGeneratorWrapper.kt b/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/random/CMRandomGeneratorWrapper.kt
index 28294cf14..6aeebb68c 100644
--- a/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/random/CMRandomGeneratorWrapper.kt
+++ b/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/random/CMRandomGeneratorWrapper.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.commons.random
diff --git a/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/transform/Transformations.kt b/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/transform/Transformations.kt
index 73ab91542..40168971e 100644
--- a/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/transform/Transformations.kt
+++ b/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/transform/Transformations.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.commons.transform
diff --git a/kmath-commons/src/test/kotlin/space/kscience/kmath/commons/expressions/DerivativeStructureExpressionTest.kt b/kmath-commons/src/test/kotlin/space/kscience/kmath/commons/expressions/DerivativeStructureExpressionTest.kt
index eaebc84dc..56252ab34 100644
--- a/kmath-commons/src/test/kotlin/space/kscience/kmath/commons/expressions/DerivativeStructureExpressionTest.kt
+++ b/kmath-commons/src/test/kotlin/space/kscience/kmath/commons/expressions/DerivativeStructureExpressionTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.commons.expressions
diff --git a/kmath-commons/src/test/kotlin/space/kscience/kmath/commons/integration/IntegrationTest.kt b/kmath-commons/src/test/kotlin/space/kscience/kmath/commons/integration/IntegrationTest.kt
index bab3aecb6..c5573fef1 100644
--- a/kmath-commons/src/test/kotlin/space/kscience/kmath/commons/integration/IntegrationTest.kt
+++ b/kmath-commons/src/test/kotlin/space/kscience/kmath/commons/integration/IntegrationTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.commons.integration
diff --git a/kmath-commons/src/test/kotlin/space/kscience/kmath/commons/optimization/OptimizeTest.kt b/kmath-commons/src/test/kotlin/space/kscience/kmath/commons/optimization/OptimizeTest.kt
index c670ceead..0977dc247 100644
--- a/kmath-commons/src/test/kotlin/space/kscience/kmath/commons/optimization/OptimizeTest.kt
+++ b/kmath-commons/src/test/kotlin/space/kscience/kmath/commons/optimization/OptimizeTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.commons.optimization
diff --git a/kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/Complex.kt b/kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/Complex.kt
index 879cfe94e..d3c414838 100644
--- a/kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/Complex.kt
+++ b/kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/Complex.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.complex
diff --git a/kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/ComplexFieldND.kt b/kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/ComplexFieldND.kt
index 2eaa17ded..46d4b7c5c 100644
--- a/kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/ComplexFieldND.kt
+++ b/kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/ComplexFieldND.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.complex
diff --git a/kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/Quaternion.kt b/kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/Quaternion.kt
index ff9a8302a..3ef3428c6 100644
--- a/kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/Quaternion.kt
+++ b/kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/Quaternion.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.complex
diff --git a/kmath-complex/src/commonTest/kotlin/space/kscience/kmath/complex/ComplexBufferSpecTest.kt b/kmath-complex/src/commonTest/kotlin/space/kscience/kmath/complex/ComplexBufferSpecTest.kt
index 87239654d..17a077ea7 100644
--- a/kmath-complex/src/commonTest/kotlin/space/kscience/kmath/complex/ComplexBufferSpecTest.kt
+++ b/kmath-complex/src/commonTest/kotlin/space/kscience/kmath/complex/ComplexBufferSpecTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.complex
diff --git a/kmath-complex/src/commonTest/kotlin/space/kscience/kmath/complex/ComplexFieldTest.kt b/kmath-complex/src/commonTest/kotlin/space/kscience/kmath/complex/ComplexFieldTest.kt
index 90e624343..cbaaa815b 100644
--- a/kmath-complex/src/commonTest/kotlin/space/kscience/kmath/complex/ComplexFieldTest.kt
+++ b/kmath-complex/src/commonTest/kotlin/space/kscience/kmath/complex/ComplexFieldTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.complex
diff --git a/kmath-complex/src/commonTest/kotlin/space/kscience/kmath/complex/ComplexTest.kt b/kmath-complex/src/commonTest/kotlin/space/kscience/kmath/complex/ComplexTest.kt
index a37006f75..7ad7f883d 100644
--- a/kmath-complex/src/commonTest/kotlin/space/kscience/kmath/complex/ComplexTest.kt
+++ b/kmath-complex/src/commonTest/kotlin/space/kscience/kmath/complex/ComplexTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.complex
diff --git a/kmath-complex/src/commonTest/kotlin/space/kscience/kmath/complex/ExpressionFieldForComplexTest.kt b/kmath-complex/src/commonTest/kotlin/space/kscience/kmath/complex/ExpressionFieldForComplexTest.kt
index 00ae5ede1..4279471d4 100644
--- a/kmath-complex/src/commonTest/kotlin/space/kscience/kmath/complex/ExpressionFieldForComplexTest.kt
+++ b/kmath-complex/src/commonTest/kotlin/space/kscience/kmath/complex/ExpressionFieldForComplexTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.complex
diff --git a/kmath-complex/src/commonTest/kotlin/space/kscience/kmath/complex/QuaternionFieldTest.kt b/kmath-complex/src/commonTest/kotlin/space/kscience/kmath/complex/QuaternionFieldTest.kt
index 319460c74..6784f3516 100644
--- a/kmath-complex/src/commonTest/kotlin/space/kscience/kmath/complex/QuaternionFieldTest.kt
+++ b/kmath-complex/src/commonTest/kotlin/space/kscience/kmath/complex/QuaternionFieldTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.complex
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/data/ColumnarData.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/data/ColumnarData.kt
index 53c4b4d1e..e06b774fd 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/data/ColumnarData.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/data/ColumnarData.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.data
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/data/XYColumnarData.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/data/XYColumnarData.kt
index ffec339bf..2fce772cc 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/data/XYColumnarData.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/data/XYColumnarData.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.data
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/data/XYZColumnarData.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/data/XYZColumnarData.kt
index a4a08f626..e99ae0698 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/data/XYZColumnarData.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/data/XYZColumnarData.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.data
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/Domain.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/Domain.kt
index 0c4d2307b..b5a84cf6c 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/Domain.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/Domain.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.domains
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/DoubleDomain.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/DoubleDomain.kt
index aee1d52c5..ee1bebde0 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/DoubleDomain.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/DoubleDomain.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 package space.kscience.kmath.domains
 
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/HyperSquareDomain.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/HyperSquareDomain.kt
index 7ea3e22c4..bd5514623 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/HyperSquareDomain.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/HyperSquareDomain.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 package space.kscience.kmath.domains
 
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/UnconstrainedDomain.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/UnconstrainedDomain.kt
index 040bb80b0..32a5fc56c 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/UnconstrainedDomain.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/UnconstrainedDomain.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 package space.kscience.kmath.domains
 
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/UnivariateDomain.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/UnivariateDomain.kt
index a5add6a0b..9020ef8cb 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/UnivariateDomain.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/domains/UnivariateDomain.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.domains
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/DifferentiableExpression.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/DifferentiableExpression.kt
index 758b992a9..12b7df0ea 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/DifferentiableExpression.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/DifferentiableExpression.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.expressions
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/Expression.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/Expression.kt
index bd3e6d0ba..33f53202c 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/Expression.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/Expression.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.expressions
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/FunctionalExpressionAlgebra.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/FunctionalExpressionAlgebra.kt
index 661680565..5f194f2ea 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/FunctionalExpressionAlgebra.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/FunctionalExpressionAlgebra.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.expressions
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/MST.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/MST.kt
index fe50902b1..7533024a1 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/MST.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/MST.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.expressions
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/MstAlgebra.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/MstAlgebra.kt
index ca0671ccb..4bd2a6c53 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/MstAlgebra.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/MstAlgebra.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.expressions
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/SimpleAutoDiff.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/SimpleAutoDiff.kt
index aa9dd01ce..96fc73249 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/SimpleAutoDiff.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/SimpleAutoDiff.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.expressions
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/Symbol.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/Symbol.kt
index fcfd57e82..8ab2bec31 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/Symbol.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/Symbol.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.expressions
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/SymbolIndexer.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/SymbolIndexer.kt
index e8005096c..bf37e9615 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/SymbolIndexer.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/SymbolIndexer.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.expressions
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/BufferedLinearSpace.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/BufferedLinearSpace.kt
index 410fb8505..36cbd9064 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/BufferedLinearSpace.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/BufferedLinearSpace.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.linear
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/DoubleLinearSpace.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/DoubleLinearSpace.kt
index 91db33bce..4e6debc60 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/DoubleLinearSpace.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/DoubleLinearSpace.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.linear
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/LinearSolver.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/LinearSolver.kt
index 54d90baa8..fae9e7c91 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/LinearSolver.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/LinearSolver.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.linear
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/LinearSpace.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/LinearSpace.kt
index 5349ad864..715fad07b 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/LinearSpace.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/LinearSpace.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.linear
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/LupDecomposition.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/LupDecomposition.kt
index 95dd6d45c..fb57f2343 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/LupDecomposition.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/LupDecomposition.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.linear
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/MatrixBuilder.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/MatrixBuilder.kt
index 727b644c3..029612bc5 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/MatrixBuilder.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/MatrixBuilder.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.linear
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/MatrixFeatures.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/MatrixFeatures.kt
index 4c2b5c73c..b70e9d8a9 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/MatrixFeatures.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/MatrixFeatures.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.linear
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/MatrixWrapper.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/MatrixWrapper.kt
index a40c0384c..b1812f49d 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/MatrixWrapper.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/MatrixWrapper.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.linear
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/VirtualMatrix.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/VirtualMatrix.kt
index be1677ecd..fb2b1e547 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/VirtualMatrix.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/linear/VirtualMatrix.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.linear
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/misc/annotations.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/misc/annotations.kt
index 2b3a4ab03..73ecd6492 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/misc/annotations.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/misc/annotations.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.misc
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/misc/cumulative.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/misc/cumulative.kt
index 413f44960..ee7f1d8be 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/misc/cumulative.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/misc/cumulative.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.misc
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/misc/numbers.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/misc/numbers.kt
index e048eb746..f879a06d5 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/misc/numbers.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/misc/numbers.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.misc
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/AlgebraND.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/AlgebraND.kt
index 113bd4c52..a071c1eb3 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/AlgebraND.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/AlgebraND.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.nd
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferAlgebraND.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferAlgebraND.kt
index d25b455f4..b09344d12 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferAlgebraND.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferAlgebraND.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 @file:OptIn(UnstableKMathAPI::class)
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferND.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferND.kt
index 515988159..539499794 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferND.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/BufferND.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.nd
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/DoubleFieldND.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/DoubleFieldND.kt
index 8baeac21f..d01a8ee95 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/DoubleFieldND.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/DoubleFieldND.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.nd
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/ShapeIndexer.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/ShapeIndexer.kt
index 20e180dd1..c6ff79587 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/ShapeIndexer.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/ShapeIndexer.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.nd
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/ShortRingND.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/ShortRingND.kt
index 827f0e21e..8152adaa5 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/ShortRingND.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/ShortRingND.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.nd
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/Structure1D.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/Structure1D.kt
index 3dcc77334..4ccb15eef 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/Structure1D.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/Structure1D.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.nd
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/Structure2D.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/Structure2D.kt
index e3552c02e..cf8559869 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/Structure2D.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/Structure2D.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.nd
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/StructureND.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/StructureND.kt
index 614d97950..d948cf36f 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/StructureND.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/StructureND.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.nd
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/algebraNDExtentions.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/algebraNDExtentions.kt
index 0e694bcb3..53f946fbd 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/algebraNDExtentions.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/algebraNDExtentions.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.nd
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/Algebra.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/Algebra.kt
index 244b9fea7..45ba32c13 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/Algebra.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/Algebra.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.operations
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/BigInt.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/BigInt.kt
index 5a713049e..99268348b 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/BigInt.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/BigInt.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.operations
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/DoubleBufferField.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/DoubleBufferField.kt
index 0deb647a3..8ec3c3aea 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/DoubleBufferField.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/DoubleBufferField.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.operations
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/DoubleBufferOps.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/DoubleBufferOps.kt
index b0cce91d3..a5e1c42e2 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/DoubleBufferOps.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/DoubleBufferOps.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.operations
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/LogicAlgebra.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/LogicAlgebra.kt
index d50f1e79e..9037525e1 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/LogicAlgebra.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/LogicAlgebra.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.operations
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/NumericAlgebra.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/NumericAlgebra.kt
index 9d9fc0885..d0405c705 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/NumericAlgebra.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/NumericAlgebra.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.operations
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/OptionalOperations.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/OptionalOperations.kt
index 332617158..709506fc4 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/OptionalOperations.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/OptionalOperations.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.operations
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/algebraExtensions.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/algebraExtensions.kt
index 1ed0414de..539440de9 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/algebraExtensions.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/algebraExtensions.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.operations
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/bufferOperation.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/bufferOperation.kt
index 6bf3266e3..31b0c2841 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/bufferOperation.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/bufferOperation.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.operations
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/numbers.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/numbers.kt
index 7c8030168..07a137415 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/numbers.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/numbers.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.operations
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/ArrayBuffer.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/ArrayBuffer.kt
index 393ee99d6..3528b0460 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/ArrayBuffer.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/ArrayBuffer.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.structures
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/Buffer.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/Buffer.kt
index c68bca2d9..58c6d5ded 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/Buffer.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/Buffer.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.structures
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/BufferAccessor2D.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/BufferAccessor2D.kt
index d6a48f42d..4d04a5235 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/BufferAccessor2D.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/BufferAccessor2D.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.structures
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/DoubleBuffer.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/DoubleBuffer.kt
index 3b554ab07..f4388a477 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/DoubleBuffer.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/DoubleBuffer.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.structures
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/FlaggedBuffer.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/FlaggedBuffer.kt
index 700a4f17f..b3c537280 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/FlaggedBuffer.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/FlaggedBuffer.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.structures
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/FloatBuffer.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/FloatBuffer.kt
index dc7903cbf..e7e98fc71 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/FloatBuffer.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/FloatBuffer.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.structures
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/IntBuffer.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/IntBuffer.kt
index ca078746c..35b722e2b 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/IntBuffer.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/IntBuffer.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.structures
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/ListBuffer.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/ListBuffer.kt
index 666722177..65d9dc77d 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/ListBuffer.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/ListBuffer.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.structures
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/LongBuffer.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/LongBuffer.kt
index a0b5c78fa..c69f4646d 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/LongBuffer.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/LongBuffer.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.structures
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/MemoryBuffer.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/MemoryBuffer.kt
index 3e08dbbb1..1dadaf7d4 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/MemoryBuffer.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/MemoryBuffer.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.structures
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/MutableBuffer.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/MutableBuffer.kt
index 97185b918..429c1a64b 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/MutableBuffer.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/MutableBuffer.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.structures
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/ShortBuffer.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/ShortBuffer.kt
index 1d2b0188a..20691511b 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/ShortBuffer.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/ShortBuffer.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.structures
diff --git a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/expressions/ExpressionFieldTest.kt b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/expressions/ExpressionFieldTest.kt
index d0b3c7751..80c5943cf 100644
--- a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/expressions/ExpressionFieldTest.kt
+++ b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/expressions/ExpressionFieldTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.expressions
diff --git a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/expressions/InterpretTest.kt b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/expressions/InterpretTest.kt
index 8bf852653..156334b2e 100644
--- a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/expressions/InterpretTest.kt
+++ b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/expressions/InterpretTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.expressions
diff --git a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/expressions/SimpleAutoDiffTest.kt b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/expressions/SimpleAutoDiffTest.kt
index 7d8ff6202..201890933 100644
--- a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/expressions/SimpleAutoDiffTest.kt
+++ b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/expressions/SimpleAutoDiffTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.expressions
diff --git a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/linear/DoubleLUSolverTest.kt b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/linear/DoubleLUSolverTest.kt
index 79153d95d..70e010f2e 100644
--- a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/linear/DoubleLUSolverTest.kt
+++ b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/linear/DoubleLUSolverTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.linear
diff --git a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/linear/MatrixTest.kt b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/linear/MatrixTest.kt
index 0e2369e35..25d187bf0 100644
--- a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/linear/MatrixTest.kt
+++ b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/linear/MatrixTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.linear
diff --git a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/misc/CumulativeKtTest.kt b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/misc/CumulativeKtTest.kt
index aa7abd8ff..e5f3f337f 100644
--- a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/misc/CumulativeKtTest.kt
+++ b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/misc/CumulativeKtTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.misc
diff --git a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/operations/BigIntAlgebraTest.kt b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/operations/BigIntAlgebraTest.kt
index 75100b116..0527f5252 100644
--- a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/operations/BigIntAlgebraTest.kt
+++ b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/operations/BigIntAlgebraTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.operations
diff --git a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/operations/BigIntConstructorTest.kt b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/operations/BigIntConstructorTest.kt
index c121c86ae..eec3dc3bf 100644
--- a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/operations/BigIntConstructorTest.kt
+++ b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/operations/BigIntConstructorTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.operations
diff --git a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/operations/BigIntConversionsTest.kt b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/operations/BigIntConversionsTest.kt
index 78dcdfe19..85f368f3e 100644
--- a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/operations/BigIntConversionsTest.kt
+++ b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/operations/BigIntConversionsTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.operations
diff --git a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/operations/BigIntOperationsTest.kt b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/operations/BigIntOperationsTest.kt
index 11b8b161c..26d6af224 100644
--- a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/operations/BigIntOperationsTest.kt
+++ b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/operations/BigIntOperationsTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.operations
diff --git a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/operations/DoubleFieldTest.kt b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/operations/DoubleFieldTest.kt
index 9be75d68e..76171fedd 100644
--- a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/operations/DoubleFieldTest.kt
+++ b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/operations/DoubleFieldTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.operations
diff --git a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/structures/NDFieldTest.kt b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/structures/NDFieldTest.kt
index 82172af62..b7b89d107 100644
--- a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/structures/NDFieldTest.kt
+++ b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/structures/NDFieldTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.structures
diff --git a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/structures/NumberNDFieldTest.kt b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/structures/NumberNDFieldTest.kt
index 61eb6acc8..d33eb5112 100644
--- a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/structures/NumberNDFieldTest.kt
+++ b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/structures/NumberNDFieldTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.structures
diff --git a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/testutils/AlgebraicVerifier.kt b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/testutils/AlgebraicVerifier.kt
index 544e05707..ddd8fc3ea 100644
--- a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/testutils/AlgebraicVerifier.kt
+++ b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/testutils/AlgebraicVerifier.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.testutils
diff --git a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/testutils/FieldVerifier.kt b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/testutils/FieldVerifier.kt
index d0a312bb2..20a7b6a72 100644
--- a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/testutils/FieldVerifier.kt
+++ b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/testutils/FieldVerifier.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.testutils
diff --git a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/testutils/RingVerifier.kt b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/testutils/RingVerifier.kt
index 3b0b49f31..daf18834a 100644
--- a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/testutils/RingVerifier.kt
+++ b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/testutils/RingVerifier.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.testutils
diff --git a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/testutils/SpaceVerifier.kt b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/testutils/SpaceVerifier.kt
index 4afa97ce5..951197fc6 100644
--- a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/testutils/SpaceVerifier.kt
+++ b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/testutils/SpaceVerifier.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.testutils
diff --git a/kmath-core/src/jsMain/kotlin/space/kscience/kmath/misc/numbers.kt b/kmath-core/src/jsMain/kotlin/space/kscience/kmath/misc/numbers.kt
index a24243cb4..68a3c995b 100644
--- a/kmath-core/src/jsMain/kotlin/space/kscience/kmath/misc/numbers.kt
+++ b/kmath-core/src/jsMain/kotlin/space/kscience/kmath/misc/numbers.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.misc
diff --git a/kmath-core/src/jsMain/kotlin/space/kscience/kmath/operations/isInteger.kt b/kmath-core/src/jsMain/kotlin/space/kscience/kmath/operations/isInteger.kt
index c15669145..24b81322e 100644
--- a/kmath-core/src/jsMain/kotlin/space/kscience/kmath/operations/isInteger.kt
+++ b/kmath-core/src/jsMain/kotlin/space/kscience/kmath/operations/isInteger.kt
@@ -1,3 +1,8 @@
+/*
+ * Copyright 2018-2021 KMath contributors.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
+ */
+
 package space.kscience.kmath.operations
 
 /**
diff --git a/kmath-core/src/jvmMain/kotlin/space/kscience/kmath/misc/numbersJVM.kt b/kmath-core/src/jvmMain/kotlin/space/kscience/kmath/misc/numbersJVM.kt
index c50919e88..5ba0dbc9b 100644
--- a/kmath-core/src/jvmMain/kotlin/space/kscience/kmath/misc/numbersJVM.kt
+++ b/kmath-core/src/jvmMain/kotlin/space/kscience/kmath/misc/numbersJVM.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.misc
diff --git a/kmath-core/src/jvmMain/kotlin/space/kscience/kmath/operations/BigNumbers.kt b/kmath-core/src/jvmMain/kotlin/space/kscience/kmath/operations/BigNumbers.kt
index f63efbef2..6e22c2381 100644
--- a/kmath-core/src/jvmMain/kotlin/space/kscience/kmath/operations/BigNumbers.kt
+++ b/kmath-core/src/jvmMain/kotlin/space/kscience/kmath/operations/BigNumbers.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.operations
diff --git a/kmath-core/src/jvmMain/kotlin/space/kscience/kmath/operations/isInteger.kt b/kmath-core/src/jvmMain/kotlin/space/kscience/kmath/operations/isInteger.kt
index 746d1e530..b2f9b957b 100644
--- a/kmath-core/src/jvmMain/kotlin/space/kscience/kmath/operations/isInteger.kt
+++ b/kmath-core/src/jvmMain/kotlin/space/kscience/kmath/operations/isInteger.kt
@@ -1,3 +1,8 @@
+/*
+ * Copyright 2018-2021 KMath contributors.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
+ */
+
 package space.kscience.kmath.operations
 
 /**
diff --git a/kmath-core/src/nativeMain/kotlin/space/kscience/kmath/misc/numbers.kt b/kmath-core/src/nativeMain/kotlin/space/kscience/kmath/misc/numbers.kt
index a24243cb4..68a3c995b 100644
--- a/kmath-core/src/nativeMain/kotlin/space/kscience/kmath/misc/numbers.kt
+++ b/kmath-core/src/nativeMain/kotlin/space/kscience/kmath/misc/numbers.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.misc
diff --git a/kmath-core/src/nativeMain/kotlin/space/kscience/kmath/operations/isInteger.kt b/kmath-core/src/nativeMain/kotlin/space/kscience/kmath/operations/isInteger.kt
index 746d1e530..b2f9b957b 100644
--- a/kmath-core/src/nativeMain/kotlin/space/kscience/kmath/operations/isInteger.kt
+++ b/kmath-core/src/nativeMain/kotlin/space/kscience/kmath/operations/isInteger.kt
@@ -1,3 +1,8 @@
+/*
+ * Copyright 2018-2021 KMath contributors.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
+ */
+
 package space.kscience.kmath.operations
 
 /**
diff --git a/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/chains/BlockingChain.kt b/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/chains/BlockingChain.kt
index a41a30f55..87aebff61 100644
--- a/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/chains/BlockingChain.kt
+++ b/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/chains/BlockingChain.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.chains
diff --git a/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/chains/BlockingDoubleChain.kt b/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/chains/BlockingDoubleChain.kt
index 7b4d1f2af..25e20291e 100644
--- a/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/chains/BlockingDoubleChain.kt
+++ b/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/chains/BlockingDoubleChain.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.chains
diff --git a/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/chains/BlockingIntChain.kt b/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/chains/BlockingIntChain.kt
index f13d9907c..ac0327d0b 100644
--- a/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/chains/BlockingIntChain.kt
+++ b/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/chains/BlockingIntChain.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.chains
diff --git a/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/chains/Chain.kt b/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/chains/Chain.kt
index 403472f28..f8d2549e5 100644
--- a/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/chains/Chain.kt
+++ b/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/chains/Chain.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.chains
diff --git a/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/chains/flowExtra.kt b/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/chains/flowExtra.kt
index 1620f029c..7bf54d50f 100644
--- a/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/chains/flowExtra.kt
+++ b/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/chains/flowExtra.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.chains
diff --git a/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/coroutines/coroutinesExtra.kt b/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/coroutines/coroutinesExtra.kt
index 3b90222dd..1f17efe49 100644
--- a/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/coroutines/coroutinesExtra.kt
+++ b/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/coroutines/coroutinesExtra.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.coroutines
diff --git a/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/streaming/BufferFlow.kt b/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/streaming/BufferFlow.kt
index 914139a3e..4d4493aa4 100644
--- a/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/streaming/BufferFlow.kt
+++ b/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/streaming/BufferFlow.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.streaming
diff --git a/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/streaming/RingBuffer.kt b/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/streaming/RingBuffer.kt
index 573b406e2..abe1c9df9 100644
--- a/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/streaming/RingBuffer.kt
+++ b/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/streaming/RingBuffer.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.streaming
diff --git a/kmath-coroutines/src/jvmMain/kotlin/space/kscience/kmath/chains/ChainExt.kt b/kmath-coroutines/src/jvmMain/kotlin/space/kscience/kmath/chains/ChainExt.kt
index 0e36706cf..dd6e39071 100644
--- a/kmath-coroutines/src/jvmMain/kotlin/space/kscience/kmath/chains/ChainExt.kt
+++ b/kmath-coroutines/src/jvmMain/kotlin/space/kscience/kmath/chains/ChainExt.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.chains
diff --git a/kmath-coroutines/src/jvmMain/kotlin/space/kscience/kmath/structures/LazyStructureND.kt b/kmath-coroutines/src/jvmMain/kotlin/space/kscience/kmath/structures/LazyStructureND.kt
index 1feb43f33..ac9eb773a 100644
--- a/kmath-coroutines/src/jvmMain/kotlin/space/kscience/kmath/structures/LazyStructureND.kt
+++ b/kmath-coroutines/src/jvmMain/kotlin/space/kscience/kmath/structures/LazyStructureND.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.structures
diff --git a/kmath-coroutines/src/jvmTest/kotlin/space/kscience/kmath/streaming/BufferFlowTest.kt b/kmath-coroutines/src/jvmTest/kotlin/space/kscience/kmath/streaming/BufferFlowTest.kt
index 057ac5feb..9b67f7253 100644
--- a/kmath-coroutines/src/jvmTest/kotlin/space/kscience/kmath/streaming/BufferFlowTest.kt
+++ b/kmath-coroutines/src/jvmTest/kotlin/space/kscience/kmath/streaming/BufferFlowTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.streaming
diff --git a/kmath-coroutines/src/jvmTest/kotlin/space/kscience/kmath/streaming/RingBufferTest.kt b/kmath-coroutines/src/jvmTest/kotlin/space/kscience/kmath/streaming/RingBufferTest.kt
index a3143a1ac..305b97e5d 100644
--- a/kmath-coroutines/src/jvmTest/kotlin/space/kscience/kmath/streaming/RingBufferTest.kt
+++ b/kmath-coroutines/src/jvmTest/kotlin/space/kscience/kmath/streaming/RingBufferTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.streaming
diff --git a/kmath-dimensions/src/commonMain/kotlin/space/kscience/kmath/dimensions/Dimension.kt b/kmath-dimensions/src/commonMain/kotlin/space/kscience/kmath/dimensions/Dimension.kt
index 53482f020..e57c22834 100644
--- a/kmath-dimensions/src/commonMain/kotlin/space/kscience/kmath/dimensions/Dimension.kt
+++ b/kmath-dimensions/src/commonMain/kotlin/space/kscience/kmath/dimensions/Dimension.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.dimensions
diff --git a/kmath-dimensions/src/commonMain/kotlin/space/kscience/kmath/dimensions/Wrappers.kt b/kmath-dimensions/src/commonMain/kotlin/space/kscience/kmath/dimensions/Wrappers.kt
index c47f43723..f04536f04 100644
--- a/kmath-dimensions/src/commonMain/kotlin/space/kscience/kmath/dimensions/Wrappers.kt
+++ b/kmath-dimensions/src/commonMain/kotlin/space/kscience/kmath/dimensions/Wrappers.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.dimensions
diff --git a/kmath-dimensions/src/commonTest/kotlin/space/kscience/dimensions/DMatrixContextTest.kt b/kmath-dimensions/src/commonTest/kotlin/space/kscience/dimensions/DMatrixContextTest.kt
index efa3170a3..59260fe73 100644
--- a/kmath-dimensions/src/commonTest/kotlin/space/kscience/dimensions/DMatrixContextTest.kt
+++ b/kmath-dimensions/src/commonTest/kotlin/space/kscience/dimensions/DMatrixContextTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.dimensions
diff --git a/kmath-dimensions/src/jsMain/kotlin/space/kscience/kmath/dimensions/Dimension.kt b/kmath-dimensions/src/jsMain/kotlin/space/kscience/kmath/dimensions/Dimension.kt
index 324c78108..610e8b4c0 100644
--- a/kmath-dimensions/src/jsMain/kotlin/space/kscience/kmath/dimensions/Dimension.kt
+++ b/kmath-dimensions/src/jsMain/kotlin/space/kscience/kmath/dimensions/Dimension.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.dimensions
diff --git a/kmath-dimensions/src/jvmMain/kotlin/space/kscience/kmath/dimensions/Dimension.kt b/kmath-dimensions/src/jvmMain/kotlin/space/kscience/kmath/dimensions/Dimension.kt
index 8fc683ed6..e6d8b3b35 100644
--- a/kmath-dimensions/src/jvmMain/kotlin/space/kscience/kmath/dimensions/Dimension.kt
+++ b/kmath-dimensions/src/jvmMain/kotlin/space/kscience/kmath/dimensions/Dimension.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 @file:JvmName("DimensionJVM")
diff --git a/kmath-dimensions/src/nativeMain/kotlin/space/kscience/kmath/dimensions/Dimension.kt b/kmath-dimensions/src/nativeMain/kotlin/space/kscience/kmath/dimensions/Dimension.kt
index 001d68935..64edbe935 100644
--- a/kmath-dimensions/src/nativeMain/kotlin/space/kscience/kmath/dimensions/Dimension.kt
+++ b/kmath-dimensions/src/nativeMain/kotlin/space/kscience/kmath/dimensions/Dimension.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.dimensions
diff --git a/kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlLinearSpace.kt b/kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlLinearSpace.kt
index 25333157a..32030dfe3 100644
--- a/kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlLinearSpace.kt
+++ b/kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlLinearSpace.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.ejml
diff --git a/kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlMatrix.kt b/kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlMatrix.kt
index 9ad0f9c77..27fd3fc53 100644
--- a/kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlMatrix.kt
+++ b/kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlMatrix.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.ejml
diff --git a/kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlVector.kt b/kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlVector.kt
index a6de1b657..37995c27e 100644
--- a/kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlVector.kt
+++ b/kmath-ejml/src/main/kotlin/space/kscience/kmath/ejml/EjmlVector.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.ejml
diff --git a/kmath-ejml/src/test/kotlin/space/kscience/kmath/ejml/EjmlMatrixTest.kt b/kmath-ejml/src/test/kotlin/space/kscience/kmath/ejml/EjmlMatrixTest.kt
index 5b8b2af98..209bb5b27 100644
--- a/kmath-ejml/src/test/kotlin/space/kscience/kmath/ejml/EjmlMatrixTest.kt
+++ b/kmath-ejml/src/test/kotlin/space/kscience/kmath/ejml/EjmlMatrixTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.ejml
diff --git a/kmath-ejml/src/test/kotlin/space/kscience/kmath/ejml/EjmlVectorTest.kt b/kmath-ejml/src/test/kotlin/space/kscience/kmath/ejml/EjmlVectorTest.kt
index c87a01436..9592bfa6c 100644
--- a/kmath-ejml/src/test/kotlin/space/kscience/kmath/ejml/EjmlVectorTest.kt
+++ b/kmath-ejml/src/test/kotlin/space/kscience/kmath/ejml/EjmlVectorTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.ejml
diff --git a/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/RealMatrix.kt b/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/RealMatrix.kt
index c1ee8b48f..671e272ab 100644
--- a/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/RealMatrix.kt
+++ b/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/RealMatrix.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 @file:OptIn(PerformancePitfall::class)
diff --git a/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/RealVector.kt b/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/RealVector.kt
index cca1c3551..7b9740c35 100644
--- a/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/RealVector.kt
+++ b/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/RealVector.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.real
diff --git a/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/dot.kt b/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/dot.kt
index 883a63f46..dc5c58be0 100644
--- a/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/dot.kt
+++ b/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/dot.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.real
diff --git a/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/grids.kt b/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/grids.kt
index fba999e6c..1926ef02c 100644
--- a/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/grids.kt
+++ b/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/grids.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.real
diff --git a/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/realND.kt b/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/realND.kt
index 56f50acbc..52362f4b4 100644
--- a/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/realND.kt
+++ b/kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/realND.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.real
diff --git a/kmath-for-real/src/commonTest/kotlin/space/kscience/kmath/real/DoubleMatrixTest.kt b/kmath-for-real/src/commonTest/kotlin/space/kscience/kmath/real/DoubleMatrixTest.kt
index 3277410c0..4a0e8de1d 100644
--- a/kmath-for-real/src/commonTest/kotlin/space/kscience/kmath/real/DoubleMatrixTest.kt
+++ b/kmath-for-real/src/commonTest/kotlin/space/kscience/kmath/real/DoubleMatrixTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.real
diff --git a/kmath-for-real/src/commonTest/kotlin/space/kscience/kmath/real/DoubleVectorTest.kt b/kmath-for-real/src/commonTest/kotlin/space/kscience/kmath/real/DoubleVectorTest.kt
index 771981772..e77b96c12 100644
--- a/kmath-for-real/src/commonTest/kotlin/space/kscience/kmath/real/DoubleVectorTest.kt
+++ b/kmath-for-real/src/commonTest/kotlin/space/kscience/kmath/real/DoubleVectorTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.real
diff --git a/kmath-for-real/src/commonTest/kotlin/space/kscience/kmath/real/GridTest.kt b/kmath-for-real/src/commonTest/kotlin/space/kscience/kmath/real/GridTest.kt
index ec1ed8f50..8fed8d10e 100644
--- a/kmath-for-real/src/commonTest/kotlin/space/kscience/kmath/real/GridTest.kt
+++ b/kmath-for-real/src/commonTest/kotlin/space/kscience/kmath/real/GridTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.real
diff --git a/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/functions/Piecewise.kt b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/functions/Piecewise.kt
index 4225a7572..16af7f555 100644
--- a/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/functions/Piecewise.kt
+++ b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/functions/Piecewise.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.functions
diff --git a/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/functions/Polynomial.kt b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/functions/Polynomial.kt
index e862c0b9d..a36d36f52 100644
--- a/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/functions/Polynomial.kt
+++ b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/functions/Polynomial.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.functions
diff --git a/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/functions/functionTypes.kt b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/functions/functionTypes.kt
index 52b7e50db..88b24c756 100644
--- a/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/functions/functionTypes.kt
+++ b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/functions/functionTypes.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.functions
diff --git a/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/GaussIntegrator.kt b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/GaussIntegrator.kt
index 2b426d204..9785d7744 100644
--- a/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/GaussIntegrator.kt
+++ b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/GaussIntegrator.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 package space.kscience.kmath.integration
 
diff --git a/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/GaussIntegratorRuleFactory.kt b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/GaussIntegratorRuleFactory.kt
index 94c73832b..778d85e66 100644
--- a/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/GaussIntegratorRuleFactory.kt
+++ b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/GaussIntegratorRuleFactory.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.integration
diff --git a/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/Integrand.kt b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/Integrand.kt
index ca96e80fe..05e2e5c55 100644
--- a/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/Integrand.kt
+++ b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/Integrand.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.integration
diff --git a/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/Integrator.kt b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/Integrator.kt
index 868ecd0fd..1cf15b42f 100644
--- a/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/Integrator.kt
+++ b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/Integrator.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.integration
diff --git a/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/MultivariateIntegrand.kt b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/MultivariateIntegrand.kt
index 1546894f5..96b81aaa6 100644
--- a/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/MultivariateIntegrand.kt
+++ b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/MultivariateIntegrand.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.integration
diff --git a/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/SimpsonIntegrator.kt b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/SimpsonIntegrator.kt
index f65cc8423..7815757aa 100644
--- a/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/SimpsonIntegrator.kt
+++ b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/SimpsonIntegrator.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.integration
diff --git a/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/SplineIntegrator.kt b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/SplineIntegrator.kt
index 6abe89aad..15d548641 100644
--- a/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/SplineIntegrator.kt
+++ b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/SplineIntegrator.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.integration
diff --git a/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/UnivariateIntegrand.kt b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/UnivariateIntegrand.kt
index bd2a20594..6fd75e6e6 100644
--- a/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/UnivariateIntegrand.kt
+++ b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/UnivariateIntegrand.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.integration
diff --git a/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/interpolation/Interpolator.kt b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/interpolation/Interpolator.kt
index 5f89a9619..b13adefa5 100644
--- a/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/interpolation/Interpolator.kt
+++ b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/interpolation/Interpolator.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 @file:OptIn(UnstableKMathAPI::class)
diff --git a/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/interpolation/LinearInterpolator.kt b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/interpolation/LinearInterpolator.kt
index eff9cd97d..edd0e6b0a 100644
--- a/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/interpolation/LinearInterpolator.kt
+++ b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/interpolation/LinearInterpolator.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.interpolation
diff --git a/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/interpolation/SplineInterpolator.kt b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/interpolation/SplineInterpolator.kt
index ac9708d01..39c33ee69 100644
--- a/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/interpolation/SplineInterpolator.kt
+++ b/kmath-functions/src/commonMain/kotlin/space/kscience/kmath/interpolation/SplineInterpolator.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.interpolation
diff --git a/kmath-functions/src/commonTest/kotlin/space/kscience/kmath/functions/PolynomialTest.kt b/kmath-functions/src/commonTest/kotlin/space/kscience/kmath/functions/PolynomialTest.kt
index 21e5473a0..05c16d17e 100644
--- a/kmath-functions/src/commonTest/kotlin/space/kscience/kmath/functions/PolynomialTest.kt
+++ b/kmath-functions/src/commonTest/kotlin/space/kscience/kmath/functions/PolynomialTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.functions
diff --git a/kmath-functions/src/commonTest/kotlin/space/kscience/kmath/integration/GaussIntegralTest.kt b/kmath-functions/src/commonTest/kotlin/space/kscience/kmath/integration/GaussIntegralTest.kt
index 533389a6e..9f48a15ea 100644
--- a/kmath-functions/src/commonTest/kotlin/space/kscience/kmath/integration/GaussIntegralTest.kt
+++ b/kmath-functions/src/commonTest/kotlin/space/kscience/kmath/integration/GaussIntegralTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.integration
diff --git a/kmath-functions/src/commonTest/kotlin/space/kscience/kmath/integration/SimpsonIntegralTest.kt b/kmath-functions/src/commonTest/kotlin/space/kscience/kmath/integration/SimpsonIntegralTest.kt
index eaf7abbfd..9f2d71554 100644
--- a/kmath-functions/src/commonTest/kotlin/space/kscience/kmath/integration/SimpsonIntegralTest.kt
+++ b/kmath-functions/src/commonTest/kotlin/space/kscience/kmath/integration/SimpsonIntegralTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.integration
diff --git a/kmath-functions/src/commonTest/kotlin/space/kscience/kmath/integration/SplineIntegralTest.kt b/kmath-functions/src/commonTest/kotlin/space/kscience/kmath/integration/SplineIntegralTest.kt
index 4dffb276f..afeba0be4 100644
--- a/kmath-functions/src/commonTest/kotlin/space/kscience/kmath/integration/SplineIntegralTest.kt
+++ b/kmath-functions/src/commonTest/kotlin/space/kscience/kmath/integration/SplineIntegralTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.integration
diff --git a/kmath-functions/src/commonTest/kotlin/space/kscience/kmath/interpolation/LinearInterpolatorTest.kt b/kmath-functions/src/commonTest/kotlin/space/kscience/kmath/interpolation/LinearInterpolatorTest.kt
index c3388c265..bec678bae 100644
--- a/kmath-functions/src/commonTest/kotlin/space/kscience/kmath/interpolation/LinearInterpolatorTest.kt
+++ b/kmath-functions/src/commonTest/kotlin/space/kscience/kmath/interpolation/LinearInterpolatorTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.interpolation
diff --git a/kmath-functions/src/commonTest/kotlin/space/kscience/kmath/interpolation/SplineInterpolatorTest.kt b/kmath-functions/src/commonTest/kotlin/space/kscience/kmath/interpolation/SplineInterpolatorTest.kt
index 42f41ab80..3adaab2d1 100644
--- a/kmath-functions/src/commonTest/kotlin/space/kscience/kmath/interpolation/SplineInterpolatorTest.kt
+++ b/kmath-functions/src/commonTest/kotlin/space/kscience/kmath/interpolation/SplineInterpolatorTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.interpolation
diff --git a/kmath-geometry/src/commonMain/kotlin/space/kscience/kmath/geometry/Euclidean2DSpace.kt b/kmath-geometry/src/commonMain/kotlin/space/kscience/kmath/geometry/Euclidean2DSpace.kt
index 5e3cbff83..d00575bcc 100644
--- a/kmath-geometry/src/commonMain/kotlin/space/kscience/kmath/geometry/Euclidean2DSpace.kt
+++ b/kmath-geometry/src/commonMain/kotlin/space/kscience/kmath/geometry/Euclidean2DSpace.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.geometry
diff --git a/kmath-geometry/src/commonMain/kotlin/space/kscience/kmath/geometry/Euclidean3DSpace.kt b/kmath-geometry/src/commonMain/kotlin/space/kscience/kmath/geometry/Euclidean3DSpace.kt
index 96f307ed6..e12563b46 100644
--- a/kmath-geometry/src/commonMain/kotlin/space/kscience/kmath/geometry/Euclidean3DSpace.kt
+++ b/kmath-geometry/src/commonMain/kotlin/space/kscience/kmath/geometry/Euclidean3DSpace.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.geometry
diff --git a/kmath-geometry/src/commonMain/kotlin/space/kscience/kmath/geometry/GeometrySpace.kt b/kmath-geometry/src/commonMain/kotlin/space/kscience/kmath/geometry/GeometrySpace.kt
index 3d3f8b653..d4245c744 100644
--- a/kmath-geometry/src/commonMain/kotlin/space/kscience/kmath/geometry/GeometrySpace.kt
+++ b/kmath-geometry/src/commonMain/kotlin/space/kscience/kmath/geometry/GeometrySpace.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.geometry
diff --git a/kmath-geometry/src/commonMain/kotlin/space/kscience/kmath/geometry/Line.kt b/kmath-geometry/src/commonMain/kotlin/space/kscience/kmath/geometry/Line.kt
index d9dc57ec2..8c6ccb55e 100644
--- a/kmath-geometry/src/commonMain/kotlin/space/kscience/kmath/geometry/Line.kt
+++ b/kmath-geometry/src/commonMain/kotlin/space/kscience/kmath/geometry/Line.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.geometry
diff --git a/kmath-geometry/src/commonMain/kotlin/space/kscience/kmath/geometry/Projections.kt b/kmath-geometry/src/commonMain/kotlin/space/kscience/kmath/geometry/Projections.kt
index 205bc17e7..5e299f450 100644
--- a/kmath-geometry/src/commonMain/kotlin/space/kscience/kmath/geometry/Projections.kt
+++ b/kmath-geometry/src/commonMain/kotlin/space/kscience/kmath/geometry/Projections.kt
@@ -1,3 +1,8 @@
+/*
+ * Copyright 2018-2021 KMath contributors.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
+ */
+
 package space.kscience.kmath.geometry
 
 /**
diff --git a/kmath-geometry/src/commonMain/kotlin/space/kscience/kmath/geometry/ReferenceFrame.kt b/kmath-geometry/src/commonMain/kotlin/space/kscience/kmath/geometry/ReferenceFrame.kt
index 7bb95c009..a7a28b596 100644
--- a/kmath-geometry/src/commonMain/kotlin/space/kscience/kmath/geometry/ReferenceFrame.kt
+++ b/kmath-geometry/src/commonMain/kotlin/space/kscience/kmath/geometry/ReferenceFrame.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.geometry
diff --git a/kmath-geometry/src/commonTest/kotlin/space/kscience/kmath/geometry/Euclidean2DSpaceTest.kt b/kmath-geometry/src/commonTest/kotlin/space/kscience/kmath/geometry/Euclidean2DSpaceTest.kt
index 5913b2fa9..6b5f474bc 100644
--- a/kmath-geometry/src/commonTest/kotlin/space/kscience/kmath/geometry/Euclidean2DSpaceTest.kt
+++ b/kmath-geometry/src/commonTest/kotlin/space/kscience/kmath/geometry/Euclidean2DSpaceTest.kt
@@ -1,3 +1,8 @@
+/*
+ * Copyright 2018-2021 KMath contributors.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
+ */
+
 package space.kscience.kmath.geometry
 
 import kotlin.math.sqrt
diff --git a/kmath-geometry/src/commonTest/kotlin/space/kscience/kmath/geometry/Euclidean3DSpaceTest.kt b/kmath-geometry/src/commonTest/kotlin/space/kscience/kmath/geometry/Euclidean3DSpaceTest.kt
index 2c74cbd27..0bc91e77e 100644
--- a/kmath-geometry/src/commonTest/kotlin/space/kscience/kmath/geometry/Euclidean3DSpaceTest.kt
+++ b/kmath-geometry/src/commonTest/kotlin/space/kscience/kmath/geometry/Euclidean3DSpaceTest.kt
@@ -1,3 +1,8 @@
+/*
+ * Copyright 2018-2021 KMath contributors.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
+ */
+
 package space.kscience.kmath.geometry
 
 import kotlin.test.Test
diff --git a/kmath-geometry/src/commonTest/kotlin/space/kscience/kmath/geometry/ProjectionAlongTest.kt b/kmath-geometry/src/commonTest/kotlin/space/kscience/kmath/geometry/ProjectionAlongTest.kt
index 55fc39aad..dfb65a57c 100644
--- a/kmath-geometry/src/commonTest/kotlin/space/kscience/kmath/geometry/ProjectionAlongTest.kt
+++ b/kmath-geometry/src/commonTest/kotlin/space/kscience/kmath/geometry/ProjectionAlongTest.kt
@@ -1,3 +1,8 @@
+/*
+ * Copyright 2018-2021 KMath contributors.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
+ */
+
 package space.kscience.kmath.geometry
 
 import kotlin.test.Test
diff --git a/kmath-geometry/src/commonTest/kotlin/space/kscience/kmath/geometry/ProjectionOntoLineTest.kt b/kmath-geometry/src/commonTest/kotlin/space/kscience/kmath/geometry/ProjectionOntoLineTest.kt
index ab6ef3628..076025110 100644
--- a/kmath-geometry/src/commonTest/kotlin/space/kscience/kmath/geometry/ProjectionOntoLineTest.kt
+++ b/kmath-geometry/src/commonTest/kotlin/space/kscience/kmath/geometry/ProjectionOntoLineTest.kt
@@ -1,3 +1,8 @@
+/*
+ * Copyright 2018-2021 KMath contributors.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
+ */
+
 package space.kscience.kmath.geometry
 
 import kotlin.test.Test
diff --git a/kmath-geometry/src/commonTest/kotlin/space/kscience/kmath/geometry/Vector2DTest.kt b/kmath-geometry/src/commonTest/kotlin/space/kscience/kmath/geometry/Vector2DTest.kt
index 89ee23354..5e45b4870 100644
--- a/kmath-geometry/src/commonTest/kotlin/space/kscience/kmath/geometry/Vector2DTest.kt
+++ b/kmath-geometry/src/commonTest/kotlin/space/kscience/kmath/geometry/Vector2DTest.kt
@@ -1,3 +1,8 @@
+/*
+ * Copyright 2018-2021 KMath contributors.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
+ */
+
 package space.kscience.kmath.geometry
 
 import space.kscience.kmath.operations.toList
diff --git a/kmath-geometry/src/commonTest/kotlin/space/kscience/kmath/geometry/Vector3DTest.kt b/kmath-geometry/src/commonTest/kotlin/space/kscience/kmath/geometry/Vector3DTest.kt
index 70f8f4ebd..55bab4775 100644
--- a/kmath-geometry/src/commonTest/kotlin/space/kscience/kmath/geometry/Vector3DTest.kt
+++ b/kmath-geometry/src/commonTest/kotlin/space/kscience/kmath/geometry/Vector3DTest.kt
@@ -1,3 +1,8 @@
+/*
+ * Copyright 2018-2021 KMath contributors.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
+ */
+
 package space.kscience.kmath.geometry
 
 import space.kscience.kmath.operations.toList
diff --git a/kmath-geometry/src/commonTest/kotlin/space/kscience/kmath/geometry/testUtils.kt b/kmath-geometry/src/commonTest/kotlin/space/kscience/kmath/geometry/testUtils.kt
index 1277c0130..0f957529d 100644
--- a/kmath-geometry/src/commonTest/kotlin/space/kscience/kmath/geometry/testUtils.kt
+++ b/kmath-geometry/src/commonTest/kotlin/space/kscience/kmath/geometry/testUtils.kt
@@ -1,3 +1,8 @@
+/*
+ * Copyright 2018-2021 KMath contributors.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
+ */
+
 package space.kscience.kmath.geometry
 
 import kotlin.math.abs
diff --git a/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/Counter.kt b/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/Counter.kt
index 4f5a1ceba..3e5d93768 100644
--- a/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/Counter.kt
+++ b/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/Counter.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.histogram
diff --git a/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/DoubleHistogramSpace.kt b/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/DoubleHistogramSpace.kt
index c452edc9c..28eade060 100644
--- a/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/DoubleHistogramSpace.kt
+++ b/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/DoubleHistogramSpace.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.histogram
diff --git a/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/Histogram.kt b/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/Histogram.kt
index 946aa814b..4e803fc63 100644
--- a/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/Histogram.kt
+++ b/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/Histogram.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.histogram
diff --git a/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/IndexedHistogramSpace.kt b/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/IndexedHistogramSpace.kt
index f36f45389..0c7dd81e1 100644
--- a/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/IndexedHistogramSpace.kt
+++ b/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/IndexedHistogramSpace.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.histogram
diff --git a/kmath-histograms/src/commonTest/kotlin/space/kscience/kmath/histogram/MultivariateHistogramTest.kt b/kmath-histograms/src/commonTest/kotlin/space/kscience/kmath/histogram/MultivariateHistogramTest.kt
index e07488741..923cc98de 100644
--- a/kmath-histograms/src/commonTest/kotlin/space/kscience/kmath/histogram/MultivariateHistogramTest.kt
+++ b/kmath-histograms/src/commonTest/kotlin/space/kscience/kmath/histogram/MultivariateHistogramTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.histogram
diff --git a/kmath-histograms/src/jvmMain/kotlin/space/kscience/kmath/histogram/TreeHistogramSpace.kt b/kmath-histograms/src/jvmMain/kotlin/space/kscience/kmath/histogram/TreeHistogramSpace.kt
index cc54d7e1a..f8a3a6a8b 100644
--- a/kmath-histograms/src/jvmMain/kotlin/space/kscience/kmath/histogram/TreeHistogramSpace.kt
+++ b/kmath-histograms/src/jvmMain/kotlin/space/kscience/kmath/histogram/TreeHistogramSpace.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.histogram
diff --git a/kmath-histograms/src/jvmMain/kotlin/space/kscience/kmath/histogram/UnivariateHistogram.kt b/kmath-histograms/src/jvmMain/kotlin/space/kscience/kmath/histogram/UnivariateHistogram.kt
index d5b74fb9b..723577cd9 100644
--- a/kmath-histograms/src/jvmMain/kotlin/space/kscience/kmath/histogram/UnivariateHistogram.kt
+++ b/kmath-histograms/src/jvmMain/kotlin/space/kscience/kmath/histogram/UnivariateHistogram.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.histogram
diff --git a/kmath-histograms/src/jvmTest/kotlin/space/kscience/kmath/histogram/TreeHistogramTest.kt b/kmath-histograms/src/jvmTest/kotlin/space/kscience/kmath/histogram/TreeHistogramTest.kt
index e71602c7b..28a1b03cb 100644
--- a/kmath-histograms/src/jvmTest/kotlin/space/kscience/kmath/histogram/TreeHistogramTest.kt
+++ b/kmath-histograms/src/jvmTest/kotlin/space/kscience/kmath/histogram/TreeHistogramTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.histogram
diff --git a/kmath-jafama/src/main/kotlin/space/kscience/kmath/jafama/KMathJafama.kt b/kmath-jafama/src/main/kotlin/space/kscience/kmath/jafama/KMathJafama.kt
index 64a935705..91d952a76 100644
--- a/kmath-jafama/src/main/kotlin/space/kscience/kmath/jafama/KMathJafama.kt
+++ b/kmath-jafama/src/main/kotlin/space/kscience/kmath/jafama/KMathJafama.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.jafama
diff --git a/kmath-jupyter/src/main/kotlin/space/kscience/kmath/jupyter/KMathJupyter.kt b/kmath-jupyter/src/main/kotlin/space/kscience/kmath/jupyter/KMathJupyter.kt
index 9731908b3..504ad693e 100644
--- a/kmath-jupyter/src/main/kotlin/space/kscience/kmath/jupyter/KMathJupyter.kt
+++ b/kmath-jupyter/src/main/kotlin/space/kscience/kmath/jupyter/KMathJupyter.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.jupyter
diff --git a/kmath-kotlingrad/src/main/kotlin/space/kscience/kmath/kotlingrad/KMathNumber.kt b/kmath-kotlingrad/src/main/kotlin/space/kscience/kmath/kotlingrad/KMathNumber.kt
index 0f10c6cdd..f4386f434 100644
--- a/kmath-kotlingrad/src/main/kotlin/space/kscience/kmath/kotlingrad/KMathNumber.kt
+++ b/kmath-kotlingrad/src/main/kotlin/space/kscience/kmath/kotlingrad/KMathNumber.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.kotlingrad
diff --git a/kmath-kotlingrad/src/main/kotlin/space/kscience/kmath/kotlingrad/KotlingradExpression.kt b/kmath-kotlingrad/src/main/kotlin/space/kscience/kmath/kotlingrad/KotlingradExpression.kt
index 84171101f..0d4e457af 100644
--- a/kmath-kotlingrad/src/main/kotlin/space/kscience/kmath/kotlingrad/KotlingradExpression.kt
+++ b/kmath-kotlingrad/src/main/kotlin/space/kscience/kmath/kotlingrad/KotlingradExpression.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.kotlingrad
diff --git a/kmath-kotlingrad/src/main/kotlin/space/kscience/kmath/kotlingrad/scalarsAdapters.kt b/kmath-kotlingrad/src/main/kotlin/space/kscience/kmath/kotlingrad/scalarsAdapters.kt
index 11e5853a8..4d01677af 100644
--- a/kmath-kotlingrad/src/main/kotlin/space/kscience/kmath/kotlingrad/scalarsAdapters.kt
+++ b/kmath-kotlingrad/src/main/kotlin/space/kscience/kmath/kotlingrad/scalarsAdapters.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.kotlingrad
diff --git a/kmath-kotlingrad/src/test/kotlin/space/kscience/kmath/kotlingrad/AdaptingTests.kt b/kmath-kotlingrad/src/test/kotlin/space/kscience/kmath/kotlingrad/AdaptingTests.kt
index 4047b9a67..7f065490c 100644
--- a/kmath-kotlingrad/src/test/kotlin/space/kscience/kmath/kotlingrad/AdaptingTests.kt
+++ b/kmath-kotlingrad/src/test/kotlin/space/kscience/kmath/kotlingrad/AdaptingTests.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.kotlingrad
diff --git a/kmath-memory/src/commonMain/kotlin/space/kscience/kmath/memory/Memory.kt b/kmath-memory/src/commonMain/kotlin/space/kscience/kmath/memory/Memory.kt
index 9f73ae2f3..e8e51e9e2 100644
--- a/kmath-memory/src/commonMain/kotlin/space/kscience/kmath/memory/Memory.kt
+++ b/kmath-memory/src/commonMain/kotlin/space/kscience/kmath/memory/Memory.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.memory
diff --git a/kmath-memory/src/commonMain/kotlin/space/kscience/kmath/memory/MemorySpec.kt b/kmath-memory/src/commonMain/kotlin/space/kscience/kmath/memory/MemorySpec.kt
index 2f2af4d9c..1ee1cf4e2 100644
--- a/kmath-memory/src/commonMain/kotlin/space/kscience/kmath/memory/MemorySpec.kt
+++ b/kmath-memory/src/commonMain/kotlin/space/kscience/kmath/memory/MemorySpec.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.memory
diff --git a/kmath-memory/src/jsMain/kotlin/space/kscience/kmath/memory/DataViewMemory.kt b/kmath-memory/src/jsMain/kotlin/space/kscience/kmath/memory/DataViewMemory.kt
index db5eb556e..6153743fc 100644
--- a/kmath-memory/src/jsMain/kotlin/space/kscience/kmath/memory/DataViewMemory.kt
+++ b/kmath-memory/src/jsMain/kotlin/space/kscience/kmath/memory/DataViewMemory.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.memory
diff --git a/kmath-memory/src/jvmMain/kotlin/space/kscience/kmath/memory/ByteBufferMemory.kt b/kmath-memory/src/jvmMain/kotlin/space/kscience/kmath/memory/ByteBufferMemory.kt
index 6e60514f8..aef68fd80 100644
--- a/kmath-memory/src/jvmMain/kotlin/space/kscience/kmath/memory/ByteBufferMemory.kt
+++ b/kmath-memory/src/jvmMain/kotlin/space/kscience/kmath/memory/ByteBufferMemory.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.memory
diff --git a/kmath-memory/src/nativeMain/kotlin/space/kscience/kmath/memory/NativeMemory.kt b/kmath-memory/src/nativeMain/kotlin/space/kscience/kmath/memory/NativeMemory.kt
index d13da1191..5146d9689 100644
--- a/kmath-memory/src/nativeMain/kotlin/space/kscience/kmath/memory/NativeMemory.kt
+++ b/kmath-memory/src/nativeMain/kotlin/space/kscience/kmath/memory/NativeMemory.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.memory
diff --git a/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikDoubleAlgebra.kt b/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikDoubleAlgebra.kt
index 4f18ee573..1dc318517 100644
--- a/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikDoubleAlgebra.kt
+++ b/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikDoubleAlgebra.kt
@@ -1,3 +1,8 @@
+/*
+ * Copyright 2018-2021 KMath contributors.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
+ */
+
 package space.kscience.kmath.multik
 
 import org.jetbrains.kotlinx.multik.ndarray.data.DataType
diff --git a/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt b/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
index 0c3cf6b14..250ef7e7f 100644
--- a/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
+++ b/kmath-multik/src/main/kotlin/space/kscience/kmath/multik/MultikTensorAlgebra.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 @file:Suppress("unused")
diff --git a/kmath-multik/src/test/kotlin/space/kscience/kmath/multik/MultikNDTest.kt b/kmath-multik/src/test/kotlin/space/kscience/kmath/multik/MultikNDTest.kt
index 66ba7db2d..404541776 100644
--- a/kmath-multik/src/test/kotlin/space/kscience/kmath/multik/MultikNDTest.kt
+++ b/kmath-multik/src/test/kotlin/space/kscience/kmath/multik/MultikNDTest.kt
@@ -1,3 +1,8 @@
+/*
+ * Copyright 2018-2021 KMath contributors.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
+ */
+
 package space.kscience.kmath.multik
 
 import org.junit.jupiter.api.Test
diff --git a/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jArrayAlgebra.kt b/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jArrayAlgebra.kt
index dd27bc817..e29a3f467 100644
--- a/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jArrayAlgebra.kt
+++ b/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jArrayAlgebra.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.nd4j
diff --git a/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jArrayIterator.kt b/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jArrayIterator.kt
index 5ae6f6b01..d4cad8996 100644
--- a/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jArrayIterator.kt
+++ b/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jArrayIterator.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.nd4j
diff --git a/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jArrayStructure.kt b/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jArrayStructure.kt
index 82f560fdb..2a0fdc86c 100644
--- a/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jArrayStructure.kt
+++ b/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jArrayStructure.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.nd4j
diff --git a/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jTensorAlgebra.kt b/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jTensorAlgebra.kt
index d7dd6e71b..ceb384f0d 100644
--- a/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jTensorAlgebra.kt
+++ b/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/Nd4jTensorAlgebra.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.nd4j
diff --git a/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/arrays.kt b/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/arrays.kt
index cc9211b20..3ca756600 100644
--- a/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/arrays.kt
+++ b/kmath-nd4j/src/main/kotlin/space/kscience/kmath/nd4j/arrays.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.nd4j
diff --git a/kmath-nd4j/src/test/kotlin/space/kscience/kmath/nd4j/Nd4jArrayAlgebraTest.kt b/kmath-nd4j/src/test/kotlin/space/kscience/kmath/nd4j/Nd4jArrayAlgebraTest.kt
index 103416120..9d30c2027 100644
--- a/kmath-nd4j/src/test/kotlin/space/kscience/kmath/nd4j/Nd4jArrayAlgebraTest.kt
+++ b/kmath-nd4j/src/test/kotlin/space/kscience/kmath/nd4j/Nd4jArrayAlgebraTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.nd4j
diff --git a/kmath-nd4j/src/test/kotlin/space/kscience/kmath/nd4j/Nd4jArrayStructureTest.kt b/kmath-nd4j/src/test/kotlin/space/kscience/kmath/nd4j/Nd4jArrayStructureTest.kt
index ff55ad521..30d01338f 100644
--- a/kmath-nd4j/src/test/kotlin/space/kscience/kmath/nd4j/Nd4jArrayStructureTest.kt
+++ b/kmath-nd4j/src/test/kotlin/space/kscience/kmath/nd4j/Nd4jArrayStructureTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.nd4j
diff --git a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/distributions/Distribution.kt b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/distributions/Distribution.kt
index 298bbc858..3d3f95f8f 100644
--- a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/distributions/Distribution.kt
+++ b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/distributions/Distribution.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.distributions
diff --git a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/distributions/FactorizedDistribution.kt b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/distributions/FactorizedDistribution.kt
index 067b47796..1218f13c5 100644
--- a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/distributions/FactorizedDistribution.kt
+++ b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/distributions/FactorizedDistribution.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.distributions
diff --git a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/distributions/NormalDistribution.kt b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/distributions/NormalDistribution.kt
index 24429cf32..66e041f05 100644
--- a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/distributions/NormalDistribution.kt
+++ b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/distributions/NormalDistribution.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.distributions
diff --git a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/internal/InternalErf.kt b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/internal/InternalErf.kt
index 5b3cb1859..25668446c 100644
--- a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/internal/InternalErf.kt
+++ b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/internal/InternalErf.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.internal
diff --git a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/internal/InternalGamma.kt b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/internal/InternalGamma.kt
index 18abd669f..6e7eb039d 100644
--- a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/internal/InternalGamma.kt
+++ b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/internal/InternalGamma.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.internal
diff --git a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/internal/InternalUtils.kt b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/internal/InternalUtils.kt
index 77ba02a25..3997a77b3 100644
--- a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/internal/InternalUtils.kt
+++ b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/internal/InternalUtils.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.internal
diff --git a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/AhrensDieterExponentialSampler.kt b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/AhrensDieterExponentialSampler.kt
index 5f923fe5f..77d29981f 100644
--- a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/AhrensDieterExponentialSampler.kt
+++ b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/AhrensDieterExponentialSampler.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.samplers
diff --git a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/AhrensDieterMarsagliaTsangGammaSampler.kt b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/AhrensDieterMarsagliaTsangGammaSampler.kt
index 063e055ce..993215d41 100644
--- a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/AhrensDieterMarsagliaTsangGammaSampler.kt
+++ b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/AhrensDieterMarsagliaTsangGammaSampler.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.samplers
diff --git a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/AliasMethodDiscreteSampler.kt b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/AliasMethodDiscreteSampler.kt
index b00db5b30..5390a2e09 100644
--- a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/AliasMethodDiscreteSampler.kt
+++ b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/AliasMethodDiscreteSampler.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.samplers
diff --git a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/BoxMullerSampler.kt b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/BoxMullerSampler.kt
index 14aa26275..b3c014553 100644
--- a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/BoxMullerSampler.kt
+++ b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/BoxMullerSampler.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.samplers
diff --git a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/GaussianSampler.kt b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/GaussianSampler.kt
index e5d1ecb49..9219df43e 100644
--- a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/GaussianSampler.kt
+++ b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/GaussianSampler.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.samplers
diff --git a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/KempSmallMeanPoissonSampler.kt b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/KempSmallMeanPoissonSampler.kt
index 16f91570f..0105731c4 100644
--- a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/KempSmallMeanPoissonSampler.kt
+++ b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/KempSmallMeanPoissonSampler.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.samplers
diff --git a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/MarsagliaNormalizedGaussianSampler.kt b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/MarsagliaNormalizedGaussianSampler.kt
index 5e636f246..0a68e5c88 100644
--- a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/MarsagliaNormalizedGaussianSampler.kt
+++ b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/MarsagliaNormalizedGaussianSampler.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.samplers
diff --git a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/NormalizedGaussianSampler.kt b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/NormalizedGaussianSampler.kt
index ceb324e8d..83f87e832 100644
--- a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/NormalizedGaussianSampler.kt
+++ b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/NormalizedGaussianSampler.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.samplers
diff --git a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/PoissonSampler.kt b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/PoissonSampler.kt
index d3ff05b06..f0f94900e 100644
--- a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/PoissonSampler.kt
+++ b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/PoissonSampler.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.samplers
diff --git a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/ZigguratNormalizedGaussianSampler.kt b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/ZigguratNormalizedGaussianSampler.kt
index bda6f9819..b534fdc14 100644
--- a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/ZigguratNormalizedGaussianSampler.kt
+++ b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/ZigguratNormalizedGaussianSampler.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.samplers
diff --git a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/MCScope.kt b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/MCScope.kt
index 5e1e577ba..0e06fa162 100644
--- a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/MCScope.kt
+++ b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/MCScope.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.stat
diff --git a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/Mean.kt b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/Mean.kt
index 2a9bd3cd4..aff7d03d9 100644
--- a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/Mean.kt
+++ b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/Mean.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.stat
diff --git a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/Median.kt b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/Median.kt
index 664e4e8e7..c587277f9 100644
--- a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/Median.kt
+++ b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/Median.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.stat
diff --git a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/RandomChain.kt b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/RandomChain.kt
index 61e472334..d4bc36b5b 100644
--- a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/RandomChain.kt
+++ b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/RandomChain.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.stat
diff --git a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/RandomGenerator.kt b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/RandomGenerator.kt
index 98ee6402a..f280a78aa 100644
--- a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/RandomGenerator.kt
+++ b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/RandomGenerator.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.stat
diff --git a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/Sampler.kt b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/Sampler.kt
index 0b3b52cab..4c11fdd65 100644
--- a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/Sampler.kt
+++ b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/Sampler.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.stat
diff --git a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/SamplerAlgebra.kt b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/SamplerAlgebra.kt
index e0be72d4b..1f442c09b 100644
--- a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/SamplerAlgebra.kt
+++ b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/SamplerAlgebra.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.stat
diff --git a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/Statistic.kt b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/Statistic.kt
index 107161514..43cd5b402 100644
--- a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/Statistic.kt
+++ b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/Statistic.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.stat
diff --git a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/UniformDistribution.kt b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/UniformDistribution.kt
index 4c0d08720..970a3aab5 100644
--- a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/UniformDistribution.kt
+++ b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/UniformDistribution.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.stat
diff --git a/kmath-stat/src/jvmMain/kotlin/space/kscience/kmath/stat/RandomSourceGenerator.kt b/kmath-stat/src/jvmMain/kotlin/space/kscience/kmath/stat/RandomSourceGenerator.kt
index a8e6a3362..202a1c8dd 100644
--- a/kmath-stat/src/jvmMain/kotlin/space/kscience/kmath/stat/RandomSourceGenerator.kt
+++ b/kmath-stat/src/jvmMain/kotlin/space/kscience/kmath/stat/RandomSourceGenerator.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.stat
diff --git a/kmath-stat/src/jvmTest/kotlin/space/kscience/kmath/stat/CommonsDistributionsTest.kt b/kmath-stat/src/jvmTest/kotlin/space/kscience/kmath/stat/CommonsDistributionsTest.kt
index 2b6b1ca60..19c01e099 100644
--- a/kmath-stat/src/jvmTest/kotlin/space/kscience/kmath/stat/CommonsDistributionsTest.kt
+++ b/kmath-stat/src/jvmTest/kotlin/space/kscience/kmath/stat/CommonsDistributionsTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.stat
diff --git a/kmath-stat/src/jvmTest/kotlin/space/kscience/kmath/stat/MCScopeTest.kt b/kmath-stat/src/jvmTest/kotlin/space/kscience/kmath/stat/MCScopeTest.kt
index 0c3d9cb0d..075d7f3e5 100644
--- a/kmath-stat/src/jvmTest/kotlin/space/kscience/kmath/stat/MCScopeTest.kt
+++ b/kmath-stat/src/jvmTest/kotlin/space/kscience/kmath/stat/MCScopeTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.stat
diff --git a/kmath-stat/src/jvmTest/kotlin/space/kscience/kmath/stat/SamplerTest.kt b/kmath-stat/src/jvmTest/kotlin/space/kscience/kmath/stat/SamplerTest.kt
index 4060c0505..1dbbf591b 100644
--- a/kmath-stat/src/jvmTest/kotlin/space/kscience/kmath/stat/SamplerTest.kt
+++ b/kmath-stat/src/jvmTest/kotlin/space/kscience/kmath/stat/SamplerTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.stat
diff --git a/kmath-stat/src/jvmTest/kotlin/space/kscience/kmath/stat/StatisticTest.kt b/kmath-stat/src/jvmTest/kotlin/space/kscience/kmath/stat/StatisticTest.kt
index 777b93c29..9eb84899c 100644
--- a/kmath-stat/src/jvmTest/kotlin/space/kscience/kmath/stat/StatisticTest.kt
+++ b/kmath-stat/src/jvmTest/kotlin/space/kscience/kmath/stat/StatisticTest.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.stat
diff --git a/kmath-symja/src/main/kotlin/space/kscience/kmath/symja/SymjaExpression.kt b/kmath-symja/src/main/kotlin/space/kscience/kmath/symja/SymjaExpression.kt
index a343256fa..3067b5efb 100644
--- a/kmath-symja/src/main/kotlin/space/kscience/kmath/symja/SymjaExpression.kt
+++ b/kmath-symja/src/main/kotlin/space/kscience/kmath/symja/SymjaExpression.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.symja
diff --git a/kmath-symja/src/main/kotlin/space/kscience/kmath/symja/adapters.kt b/kmath-symja/src/main/kotlin/space/kscience/kmath/symja/adapters.kt
index a7ca298a9..30c37c799 100644
--- a/kmath-symja/src/main/kotlin/space/kscience/kmath/symja/adapters.kt
+++ b/kmath-symja/src/main/kotlin/space/kscience/kmath/symja/adapters.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.symja
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/AnalyticTensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/AnalyticTensorAlgebra.kt
index 743105fdf..3ed34ae5e 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/AnalyticTensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/AnalyticTensorAlgebra.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.tensors.api
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/LinearOpsTensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/LinearOpsTensorAlgebra.kt
index e8fa7dacd..0bddc3f9c 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/LinearOpsTensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/LinearOpsTensorAlgebra.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.tensors.api
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/Tensor.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/Tensor.kt
index e0f296057..482bb5244 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/Tensor.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/Tensor.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.tensors.api
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt
index 60fc470fb..33889c2f8 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorAlgebra.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.tensors.api
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorPartialDivisionAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorPartialDivisionAlgebra.kt
index 0a1e09081..9c492cda1 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorPartialDivisionAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/api/TensorPartialDivisionAlgebra.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.tensors.api
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BroadcastDoubleTensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BroadcastDoubleTensorAlgebra.kt
index 10c747777..e412ab5bb 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BroadcastDoubleTensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BroadcastDoubleTensorAlgebra.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.tensors.core
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BufferedTensor.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BufferedTensor.kt
index 54d8f54dc..73a89502c 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BufferedTensor.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/BufferedTensor.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.tensors.core
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensor.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensor.kt
index ad7831fb9..8e5116336 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensor.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensor.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.tensors.core
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
index 864900adb..ae1a053af 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/IntTensor.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/IntTensor.kt
index 715d9035f..e3d7c3d35 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/IntTensor.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/IntTensor.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.tensors.core
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/broadcastUtils.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/broadcastUtils.kt
index 3787c0972..9d37423e5 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/broadcastUtils.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/broadcastUtils.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.tensors.core.internal
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/checks.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/checks.kt
index 3a3b30485..a2d445b45 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/checks.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/checks.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.tensors.core.internal
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/linUtils.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/linUtils.kt
index 290809cfd..2fb5b949f 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/linUtils.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/linUtils.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.tensors.core.internal
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/tensorCastsUtils.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/tensorCastsUtils.kt
index 602430b03..a5cdb2f47 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/tensorCastsUtils.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/tensorCastsUtils.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.tensors.core.internal
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/utils.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/utils.kt
index 553ed6add..85cc91b1d 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/utils.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/internal/utils.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.tensors.core.internal
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/tensorAlgebraExtensions.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/tensorAlgebraExtensions.kt
index 1e6dfd52e..d8e8df31e 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/tensorAlgebraExtensions.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/tensorAlgebraExtensions.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 @file:OptIn(PerformancePitfall::class)
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/tensorCasts.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/tensorCasts.kt
index feade56de..5dc8114dd 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/tensorCasts.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/tensorCasts.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.tensors.core
diff --git a/kmath-tensors/src/commonTest/kotlin/space/kscience/kmath/tensors/core/TestBroadcasting.kt b/kmath-tensors/src/commonTest/kotlin/space/kscience/kmath/tensors/core/TestBroadcasting.kt
index 1171b5217..6788ae792 100644
--- a/kmath-tensors/src/commonTest/kotlin/space/kscience/kmath/tensors/core/TestBroadcasting.kt
+++ b/kmath-tensors/src/commonTest/kotlin/space/kscience/kmath/tensors/core/TestBroadcasting.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.tensors.core
diff --git a/kmath-tensors/src/commonTest/kotlin/space/kscience/kmath/tensors/core/TestDoubleAnalyticTensorAlgebra.kt b/kmath-tensors/src/commonTest/kotlin/space/kscience/kmath/tensors/core/TestDoubleAnalyticTensorAlgebra.kt
index ba8182da2..1e21379b4 100644
--- a/kmath-tensors/src/commonTest/kotlin/space/kscience/kmath/tensors/core/TestDoubleAnalyticTensorAlgebra.kt
+++ b/kmath-tensors/src/commonTest/kotlin/space/kscience/kmath/tensors/core/TestDoubleAnalyticTensorAlgebra.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.tensors.core
diff --git a/kmath-tensors/src/commonTest/kotlin/space/kscience/kmath/tensors/core/TestDoubleLinearOpsAlgebra.kt b/kmath-tensors/src/commonTest/kotlin/space/kscience/kmath/tensors/core/TestDoubleLinearOpsAlgebra.kt
index c50c99b54..e025d4b71 100644
--- a/kmath-tensors/src/commonTest/kotlin/space/kscience/kmath/tensors/core/TestDoubleLinearOpsAlgebra.kt
+++ b/kmath-tensors/src/commonTest/kotlin/space/kscience/kmath/tensors/core/TestDoubleLinearOpsAlgebra.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.tensors.core
diff --git a/kmath-tensors/src/commonTest/kotlin/space/kscience/kmath/tensors/core/TestDoubleTensor.kt b/kmath-tensors/src/commonTest/kotlin/space/kscience/kmath/tensors/core/TestDoubleTensor.kt
index 2686df19e..d808637c7 100644
--- a/kmath-tensors/src/commonTest/kotlin/space/kscience/kmath/tensors/core/TestDoubleTensor.kt
+++ b/kmath-tensors/src/commonTest/kotlin/space/kscience/kmath/tensors/core/TestDoubleTensor.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.tensors.core
diff --git a/kmath-tensors/src/commonTest/kotlin/space/kscience/kmath/tensors/core/TestDoubleTensorAlgebra.kt b/kmath-tensors/src/commonTest/kotlin/space/kscience/kmath/tensors/core/TestDoubleTensorAlgebra.kt
index 2aee03b82..03357f1e1 100644
--- a/kmath-tensors/src/commonTest/kotlin/space/kscience/kmath/tensors/core/TestDoubleTensorAlgebra.kt
+++ b/kmath-tensors/src/commonTest/kotlin/space/kscience/kmath/tensors/core/TestDoubleTensorAlgebra.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.tensors.core
diff --git a/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorBuffer.kt b/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorBuffer.kt
index 32fb65b8a..4eedcb5ee 100644
--- a/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorBuffer.kt
+++ b/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorBuffer.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.viktor
diff --git a/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorFieldOpsND.kt b/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorFieldOpsND.kt
index e43bbbc6f..ef7702014 100644
--- a/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorFieldOpsND.kt
+++ b/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorFieldOpsND.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.viktor
diff --git a/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorStructureND.kt b/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorStructureND.kt
index 4926652ed..25ca3a10e 100644
--- a/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorStructureND.kt
+++ b/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorStructureND.kt
@@ -1,6 +1,6 @@
 /*
  * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
 package space.kscience.kmath.viktor
diff --git a/license/COPYRIGHT.txt b/license/COPYRIGHT.txt
new file mode 100644
index 000000000..7bf2faffd
--- /dev/null
+++ b/license/COPYRIGHT.txt
@@ -0,0 +1,15 @@
+/*
+ * Copyright 2018-2021 KMath contributors.
+ *
+ * Licensed under the Apache License, Version 2.0 (the "License");
+ * you may not use this file except in compliance with the License.
+ * You may obtain a copy of the License at
+ *
+ * http://www.apache.org/licenses/LICENSE-2.0
+ *
+ * Unless required by applicable law or agreed to in writing, software
+ * distributed under the License is distributed on an "AS IS" BASIS,
+ * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ * See the License for the specific language governing permissions and
+ * limitations under the License.
+ */
\ No newline at end of file
diff --git a/license/COPYRIGHT_HEADER.txt b/license/COPYRIGHT_HEADER.txt
new file mode 100644
index 000000000..3e7d28489
--- /dev/null
+++ b/license/COPYRIGHT_HEADER.txt
@@ -0,0 +1,4 @@
+/*
+ * Copyright 2018-2021 KMath contributors.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
+ */
\ No newline at end of file
diff --git a/license/LICENSE.txt b/license/LICENSE.txt
new file mode 100644
index 000000000..d64569567
--- /dev/null
+++ b/license/LICENSE.txt
@@ -0,0 +1,202 @@
+
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
+      "Licensor" shall mean the copyright owner or entity authorized by
+      the copyright owner that is granting the License.
+
+      "Legal Entity" shall mean the union of the acting entity and all
+      other entities that control, are controlled by, or are under common
+      control with that entity. For the purposes of this definition,
+      "control" means (i) the power, direct or indirect, to cause the
+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.
+
+      "You" (or "Your") shall mean an individual or Legal Entity
+      exercising permissions granted by this License.
+
+      "Source" form shall mean the preferred form for making modifications,
+      including but not limited to software source code, documentation
+      source, and configuration files.
+
+      "Object" form shall mean any form resulting from mechanical
+      transformation or translation of a Source form, including but
+      not limited to compiled object code, generated documentation,
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+
+      "Work" shall mean the work of authorship, whether in Source or
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+      (an example is provided in the Appendix below).
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+      "Derivative Works" shall mean any work, whether in Source or Object
+      form, that is based on (or derived from) the Work and for which the
+      editorial revisions, annotations, elaborations, or other modifications
+      represent, as a whole, an original work of authorship. For the purposes
+      of this License, Derivative Works shall not include works that remain
+      separable from, or merely link (or bind by name) to the interfaces of,
+      the Work and Derivative Works thereof.
+
+      "Contribution" shall mean any work of authorship, including
+      the original version of the Work and any modifications or additions
+      to that Work or Derivative Works thereof, that is intentionally
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+      communication on electronic mailing lists, source code control systems,
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+
+      "Contributor" shall mean Licensor and any individual or Legal Entity
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+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
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+   6. Trademarks. This License does not grant permission to use the trade
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+   Copyright [yyyy] [name of copyright owner]
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+
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diff --git a/license/README.md b/license/README.md
new file mode 100644
index 000000000..376321684
--- /dev/null
+++ b/license/README.md
@@ -0,0 +1,53 @@
+The Apache 2 license (given in full in LICENSE.txt) applies to all code in this repository, which is copyright by the
+contributors of KMath. The following sections of the repository contain third-party code, to which different licenses
+may apply:
+
+## KMath Libraries
+
+The following modules contain third-party code and are incorporated into the KMath Libraries:
+
+- Path: kmath-functions/src/commonMain/kotlin/space/kscience/kmath/interpolation/SplineInterpolator.kt
+    - License: Apache 2 ([cm](third_party/cm_license.txt))
+    - Origin: Derived from Apache Commons Math, (c) 2001-2020 The Apache Software Foundation
+- Path: kmath-functions/src/commonMain/kotlin/space/kscience/kmath/interpolation/LinearInterpolator.kt
+    - License: Apache 2 ([cm](third_party/cm_license.txt))
+    - Origin: Derived from Apache Commons Math, (c) 2001-2020 The Apache Software Foundation
+- Path: kmath-functions/src/commonMain/kotlin/space/kscience/kmath/interpolation/LoessInterpolator.kt
+    - License: Apache 2 ([cm](third_party/cm_license.txt))
+    - Origin: Derived from Apache Commons Math, (c) 2001-2020 The Apache Software Foundation
+- Path: kmath-functions/src/commonMain/kotlin/space/kscience/kmath/integration/GaussIntegratorRuleFactory.kt
+    - License: Apache 2 ([cm](third_party/cm_license.txt))
+    - Origin: Derived from Apache Commons Math, (c) 2001-2020 The Apache Software Foundation
+- Path: kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/RealMatrix.kt
+    - License: Apache 2 ([numky](third_party/numky_license.txt))
+    - Origin: Initial implementation was taken from Numky
+- Path: kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/AhrensDieterExponentialSampler.kt
+    - License: Apache 2 ([cm](third_party/crng_license.txt))
+    - Origin: Derived from Apache Commons RNG, (c) 2001-2020 The Apache Software Foundation
+- Path: kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/AhrensDieterMarsagliaTsangGammaSampler.kt
+    - License: Apache 2 ([cm](third_party/crng_license.txt))
+    - Origin: Derived from Apache Commons RNG, (c) 2001-2020 The Apache Software Foundation
+- Path: kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/AliasMethodDiscreteSampler.kt
+    - License: Apache 2 ([cm](third_party/crng_license.txt))
+    - Origin: Derived from Apache Commons RNG, (c) 2001-2020 The Apache Software Foundation
+- Path: kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/BoxMullerSampler.kt
+    - License: Apache 2 ([cm](third_party/crng_license.txt))
+    - Origin: Derived from Apache Commons RNG, (c) 2001-2020 The Apache Software Foundation
+- Path: kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/GaussianSampler.kt
+    - License: Apache 2 ([cm](third_party/crng_license.txt))
+    - Origin: Derived from Apache Commons RNG, (c) 2001-2020 The Apache Software Foundation
+- Path: kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/KempSmallMeanPoissonSampler.kt
+    - License: Apache 2 ([cm](third_party/crng_license.txt))
+    - Origin: Derived from Apache Commons RNG, (c) 2001-2020 The Apache Software Foundation
+- Path: kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/MarsagliaNormalizedGaussianSampler.kt
+    - License: Apache 2 ([cm](third_party/crng_license.txt))
+    - Origin: Derived from Apache Commons RNG, (c) 2001-2020 The Apache Software Foundation
+- Path: kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/NormalizedGaussianSampler.kt
+    - License: Apache 2 ([cm](third_party/crng_license.txt))
+    - Origin: Derived from Apache Commons RNG, (c) 2001-2020 The Apache Software Foundation
+- Path: kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/PoissonSampler.kt
+    - License: Apache 2 ([cm](third_party/crng_license.txt))
+    - Origin: Derived from Apache Commons RNG, (c) 2001-2020 The Apache Software Foundation
+- Path: kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/ZigguratNormalizedGaussianSampler.kt
+    - License: Apache 2 ([cm](third_party/crng_license.txt))
+    - Origin: Derived from Apache Commons RNG, (c) 2001-2020 The Apache Software Foundation
diff --git a/license/third_party/cm_license.txt b/license/third_party/cm_license.txt
new file mode 100644
index 000000000..6172c3fb2
--- /dev/null
+++ b/license/third_party/cm_license.txt
@@ -0,0 +1,457 @@
+
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
+      "Licensor" shall mean the copyright owner or entity authorized by
+      the copyright owner that is granting the License.
+
+      "Legal Entity" shall mean the union of the acting entity and all
+      other entities that control, are controlled by, or are under common
+      control with that entity. For the purposes of this definition,
+      "control" means (i) the power, direct or indirect, to cause the
+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.
+
+      "You" (or "Your") shall mean an individual or Legal Entity
+      exercising permissions granted by this License.
+
+      "Source" form shall mean the preferred form for making modifications,
+      including but not limited to software source code, documentation
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+   has been imported from the Orekit space flight dynamics library.
+
+===============================================================================
+
+
+
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+
+Copyright (c) 2004, Ernst Hairer
+
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+- Redistributions in binary form must reproduce the above copyright
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+SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+===============================================================================
+
+Copyright and license statement for the original Mersenne twister C
+routines translated in MersenneTwister class in package
+org.apache.commons.math3.random:
+
+   Copyright (C) 1997 - 2002, Makoto Matsumoto and Takuji Nishimura,
+   All rights reserved.
+
+   Redistribution and use in source and binary forms, with or without
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+   are met:
+
+     1. Redistributions of source code must retain the above copyright
+        notice, this list of conditions and the following disclaimer.
+
+     2. Redistributions in binary form must reproduce the above copyright
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+   SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+===============================================================================
+
+The initial code for shuffling an array (originally in class
+"org.apache.commons.math3.random.RandomDataGenerator", now replaced by
+a method in class "org.apache.commons.math3.util.MathArrays") was
+inspired from the algorithm description provided in
+"Algorithms", by Ian Craw and John Pulham (University of Aberdeen 1999).
+The textbook (containing a proof that the shuffle is uniformly random) is
+available here:
+  http://citeseerx.ist.psu.edu/viewdoc/download;?doi=10.1.1.173.1898&rep=rep1&type=pdf
+
+===============================================================================
+License statement for the direction numbers in the resource files for Sobol sequences.
+
+-----------------------------------------------------------------------------
+Licence pertaining to sobol.cc and the accompanying sets of direction numbers
+
+-----------------------------------------------------------------------------
+Copyright (c) 2008, Frances Y. Kuo and Stephen Joe
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
+
+    * Redistributions of source code must retain the above copyright
+      notice, this list of conditions and the following disclaimer.
+
+    * Redistributions in binary form must reproduce the above copyright
+      notice, this list of conditions and the following disclaimer in the
+      documentation and/or other materials provided with the distribution.
+
+    * Neither the names of the copyright holders nor the names of the
+      University of New South Wales and the University of Waikato
+      and its contributors may be used to endorse or promote products derived
+      from this software without specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS ``AS IS'' AND ANY
+EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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+ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+===============================================================================
+
+The initial commit of package "org.apache.commons.math3.ml.neuralnet" is
+an adapted version of code developed in the context of the Data Processing
+and Analysis Consortium (DPAC) of the "Gaia" project of the European Space
+Agency (ESA).
+===============================================================================
+
+The initial commit of the class "org.apache.commons.math3.special.BesselJ" is
+an adapted version of code translated from the netlib Fortran program, rjbesl
+http://www.netlib.org/specfun/rjbesl by R.J. Cody at Argonne National
+Laboratory (USA).  There is no license or copyright statement included with the
+original Fortran sources.
+===============================================================================
+
+
+The BracketFinder (package org.apache.commons.math3.optimization.univariate)
+and PowellOptimizer (package org.apache.commons.math3.optimization.general)
+classes are based on the Python code in module "optimize.py" (version 0.5)
+developed by Travis E. Oliphant for the SciPy library (http://www.scipy.org/)
+Copyright © 2003-2009 SciPy Developers.
+
+SciPy license
+Copyright © 2001, 2002 Enthought, Inc.
+All rights reserved.
+
+Copyright © 2003-2013 SciPy Developers.
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without
+modification, are permitted provided that the following conditions are met:
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+    * Redistributions of source code must retain the above copyright
+      notice, this list of conditions and the following disclaimer.
+
+    * Redistributions in binary form must reproduce the above copyright
+      notice, this list of conditions and the following disclaimer in the
+      documentation and/or other materials provided with the distribution.
+
+    * Neither the name of Enthought nor the names of the SciPy Developers may
+      be used to endorse or promote products derived from this software without
+      specific prior written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS “AS IS” AND ANY
+EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
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+(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
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+SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+===============================================================================
diff --git a/license/third_party/crng_license.txt b/license/third_party/crng_license.txt
new file mode 100644
index 000000000..dec0e2a5c
--- /dev/null
+++ b/license/third_party/crng_license.txt
@@ -0,0 +1,275 @@
+                                 Apache License
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+
+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
+      incidental, or consequential damages of any character arising as a
+      result of this License or out of the use or inability to use the
+      Work (including but not limited to damages for loss of goodwill,
+      work stoppage, computer failure or malfunction, or any and all
+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
+      and charge a fee for, acceptance of support, warranty, indemnity,
+      or other liability obligations and/or rights consistent with this
+      License. However, in accepting such obligations, You may act only
+      on Your own behalf and on Your sole responsibility, not on behalf
+      of any other Contributor, and only if You agree to indemnify,
+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
+      replaced with your own identifying information. (Don't include
+      the brackets!)  The text should be enclosed in the appropriate
+      comment syntax for the file format. We also recommend that a
+      file or class name and description of purpose be included on the
+      same "printed page" as the copyright notice for easier
+      identification within third-party archives.
+
+   Copyright [yyyy] [name of copyright owner]
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.
+
+================================================================================
+
+Class "org.apache.commons.rng.core.source64.MersenneTwister64" contains
+Java code partly ported from the reference implementation in C.
+That source file contained the following notice:
+
+   Copyright (C) 2004, Makoto Matsumoto and Takuji Nishimura,
+   All rights reserved.
+
+   Redistribution and use in source and binary forms, with or without
+   modification, are permitted provided that the following conditions
+   are met:
+
+     1. Redistributions of source code must retain the above copyright
+        notice, this list of conditions and the following disclaimer.
+
+     2. Redistributions in binary form must reproduce the above copyright
+        notice, this list of conditions and the following disclaimer in the
+        documentation and/or other materials provided with the distribution.
+
+     3. The names of its contributors may not be used to endorse or promote
+        products derived from this software without specific prior written
+        permission.
+
+   THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+   "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+   LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+   A PARTICULAR PURPOSE ARE DISCLAIMED.  IN NO EVENT SHALL THE COPYRIGHT OWNER OR
+   CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+   EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+   PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+   PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+   LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+   NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+   SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+================================================================================
+
+Class "org.apache.commons.rng.core.source32.MersenneTwister" contains
+Java code partly ported from the reference implementation in C.
+That source file contained the following notice:
+
+   Copyright (C) 1997 - 2002, Makoto Matsumoto and Takuji Nishimura,
+   All rights reserved.
+
+   Redistribution and use in source and binary forms, with or without
+   modification, are permitted provided that the following conditions
+   are met:
+
+     1. Redistributions of source code must retain the above copyright
+        notice, this list of conditions and the following disclaimer.
+
+     2. Redistributions in binary form must reproduce the above copyright
+        notice, this list of conditions and the following disclaimer in the
+        documentation and/or other materials provided with the distribution.
+
+     3. The names of its contributors may not be used to endorse or promote
+        products derived from this software without specific prior written
+        permission.
+
+   THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
+   "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
+   LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR
+   A PARTICULAR PURPOSE ARE DISCLAIMED.  IN NO EVENT SHALL THE COPYRIGHT OWNER OR
+   CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL,
+   EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO,
+   PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR
+   PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF
+   LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING
+   NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+   SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
+
+================================================================================
\ No newline at end of file
diff --git a/license/third_party/numky_license.txt b/license/third_party/numky_license.txt
new file mode 100644
index 000000000..f49a4e16e
--- /dev/null
+++ b/license/third_party/numky_license.txt
@@ -0,0 +1,201 @@
+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
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+
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+      direction or management of such entity, whether by contract or
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+      outstanding shares, or (iii) beneficial ownership of such entity.
+
+      "You" (or "Your") shall mean an individual or Legal Entity
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+
+      "Object" form shall mean any form resulting from mechanical
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+      not limited to compiled object code, generated documentation,
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+
+      "Work" shall mean the work of authorship, whether in Source or
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+   2. Grant of Copyright License. Subject to the terms and conditions of
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+          Derivative Works a copy of this License; and
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+      the conditions stated in this License.
+
+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
+      with Licensor regarding such Contributions.
+
+   6. Trademarks. This License does not grant permission to use the trade
+      names, trademarks, service marks, or product names of the Licensor,
+      except as required for reasonable and customary use in describing the
+      origin of the Work and reproducing the content of the NOTICE file.
+
+   7. Disclaimer of Warranty. Unless required by applicable law or
+      agreed to in writing, Licensor provides the Work (and each
+      Contributor provides its Contributions) on an "AS IS" BASIS,
+      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+      implied, including, without limitation, any warranties or conditions
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+      PARTICULAR PURPOSE. You are solely responsible for determining the
+      appropriateness of using or redistributing the Work and assume any
+      risks associated with Your exercise of permissions under this License.
+
+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
+      incidental, or consequential damages of any character arising as a
+      result of this License or out of the use or inability to use the
+      Work (including but not limited to damages for loss of goodwill,
+      work stoppage, computer failure or malfunction, or any and all
+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
+      and charge a fee for, acceptance of support, warranty, indemnity,
+      or other liability obligations and/or rights consistent with this
+      License. However, in accepting such obligations, You may act only
+      on Your own behalf and on Your sole responsibility, not on behalf
+      of any other Contributor, and only if You agree to indemnify,
+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
+      replaced with your own identifying information. (Don't include
+      the brackets!)  The text should be enclosed in the appropriate
+      comment syntax for the file format. We also recommend that a
+      file or class name and description of purpose be included on the
+      same "printed page" as the copyright notice for easier
+      identification within third-party archives.
+
+   Copyright [yyyy] [name of copyright owner]
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.
\ No newline at end of file

From e38b2e1c536b2d1f19cb6ae803b257d01368c196 Mon Sep 17 00:00:00 2001
From: Iaroslav Postovalov <postovalovya@gmail.com>
Date: Wed, 17 Nov 2021 19:03:20 +0700
Subject: [PATCH 24/44] Only dump ASM classes during tests if according
 property is passed to Gradle

---
 kmath-ast/build.gradle.kts | 7 ++++---
 1 file changed, 4 insertions(+), 3 deletions(-)

diff --git a/kmath-ast/build.gradle.kts b/kmath-ast/build.gradle.kts
index 586652349..331d8c614 100644
--- a/kmath-ast/build.gradle.kts
+++ b/kmath-ast/build.gradle.kts
@@ -55,9 +55,10 @@ tasks.dokkaHtml {
     dependsOn(tasks.build)
 }
 
-tasks.jvmTest {
-    jvmArgs = (jvmArgs ?: emptyList()) + listOf("-Dspace.kscience.kmath.ast.dump.generated.classes=1")
-}
+if (System.getProperty("space.kscience.kmath.ast.dump.generated.classes") == "1")
+    tasks.jvmTest {
+        jvmArgs = (jvmArgs ?: emptyList()) + listOf("-Dspace.kscience.kmath.ast.dump.generated.classes=1")
+    }
 
 readme {
     maturity = ru.mipt.npm.gradle.Maturity.EXPERIMENTAL

From 0f7a25762e98b48f7b7331c1714342cffc32b798 Mon Sep 17 00:00:00 2001
From: Alexis Manin <alexis.manin@gmail.com>
Date: Sat, 13 Nov 2021 09:03:05 +0100
Subject: [PATCH 25/44] feat(Core): add a permutation sorting prototype for
 buffers

This is a Buffer extension function to create a list of permuted indices that represent the sequence of naturally sorted buffer elements
---
 .../space/kscience/kmath/misc/sorting.kt      | 40 +++++++++++
 .../space/kscience/kmath/misc/PermSortTest.kt | 72 +++++++++++++++++++
 2 files changed, 112 insertions(+)
 create mode 100644 kmath-core/src/commonMain/kotlin/space/kscience/kmath/misc/sorting.kt
 create mode 100644 kmath-core/src/commonTest/kotlin/space/kscience/kmath/misc/PermSortTest.kt

diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/misc/sorting.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/misc/sorting.kt
new file mode 100644
index 000000000..a72ef19cc
--- /dev/null
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/misc/sorting.kt
@@ -0,0 +1,40 @@
+/*
+ * Copyright 2018-2021 KMath contributors.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ */
+
+package space.kscience.kmath.misc
+
+import kotlin.comparisons.*
+import space.kscience.kmath.misc.UnstableKMathAPI
+import space.kscience.kmath.structures.Buffer
+import space.kscience.kmath.structures.indices
+
+/**
+ * Return a new list filled with buffer indices. Indice order is defined by sorting associated buffer value.
+ * This feature allows to sort buffer values without reordering its content.
+ * 
+ * @param descending True to revert sort order from highest to lowest values. Default to ascending order.
+ * @return List of buffer indices, sorted by associated value.
+ */
+@PerformancePitfall
+@UnstableKMathAPI
+public fun <V: Comparable<V>> Buffer<V>.permSort(descending : Boolean = false) : IntArray {
+    if (size < 2) return IntArray(size)
+
+    val comparator = if (descending) compareByDescending<Int> { get(it) } else compareBy<Int> { get(it) }
+
+    /* TODO: optimisation : keep a constant big array of indices (Ex: from 0 to 4096), then create indice
+     * arrays more efficiently by copying subpart of cached one. For bigger needs, we could copy entire
+     * cached array, then fill remaining indices manually. Not done for now, because:
+     *  1. doing it right would require some statistics about common used buffer sizes.
+     *  2. Some benchmark would be needed to ensure it would really provide better performance
+     */
+    val packedIndices = IntArray(size) { idx -> idx }
+    
+    /* TODO: find an efficient way to sort in-place instead, and return directly the IntArray. 
+     * Not done for now, because no standard utility is provided yet. An open issue exists for this.
+     * See: https://youtrack.jetbrains.com/issue/KT-37860 
+     */
+    return packedIndices.sortedWith(comparator).toIntArray()
+}
diff --git a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/misc/PermSortTest.kt b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/misc/PermSortTest.kt
new file mode 100644
index 000000000..cb47f2d4b
--- /dev/null
+++ b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/misc/PermSortTest.kt
@@ -0,0 +1,72 @@
+/*
+ * Copyright 2018-2021 KMath contributors.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the LICENSE file.
+ */
+
+package space.kscience.kmath.misc
+
+import kotlin.collections.mutableListOf
+import kotlin.random.Random
+import kotlin.test.Test
+import kotlin.test.assertEquals
+import kotlin.test.assertTrue
+import kotlin.test.fail
+
+import space.kscience.kmath.structures.IntBuffer
+
+class PermSortTest {
+
+    /**
+     * Permutation on empty buffer should immediately return an empty array.
+     */
+    @Test
+    fun testOnEmptyBuffer() {
+        val emptyBuffer = IntBuffer(0) {it}
+        var permutations = emptyBuffer.permSort()
+        assertTrue(permutations.isEmpty(), "permutation on an empty buffer should return an empty result")
+        permutations = emptyBuffer.permSort(true)
+        assertTrue(permutations.isEmpty(), "permutation on an empty buffer should return an empty result")
+    }
+
+    @Test
+    fun testOnSingleValueBuffer() {
+        testPermutation(1)
+    }
+
+    @Test
+    public fun testOnSomeValues() {
+        testPermutation(10)
+    }
+
+    private fun testPermutation(bufferSize: Int) {   
+
+        val seed = Random.nextLong()
+        println("Test randomization seed: $seed")
+
+        val buffer = Random(seed).buffer(bufferSize)
+        val indices = buffer.permSort()
+
+        assertEquals(bufferSize, indices.size)
+        // Ensure no doublon is present in indices
+        assertEquals(indices.toSet().size, indices.size)
+
+        for (i in 0 until (bufferSize-1)) {
+            val current = buffer[indices[i]]
+            val next = buffer[indices[i+1]]
+            assertTrue(current <= next, "Permutation indices not properly sorted")
+        }
+
+        val descIndices = buffer.permSort(true)
+        assertEquals(bufferSize, descIndices.size) 
+        // Ensure no doublon is present in indices
+        assertEquals(descIndices.toSet().size, descIndices.size)
+
+        for (i in 0 until (bufferSize-1)) {
+            val current = buffer[descIndices[i]]
+            val next = buffer[descIndices[i+1]]
+            assertTrue(current >= next, "Permutation indices not properly sorted in descending order")
+        }
+    }
+
+    private fun Random.buffer(size : Int) = IntBuffer(size) { nextInt() }
+}

From 06a6a99ef0577ab13400de290f5fbfa9978f2717 Mon Sep 17 00:00:00 2001
From: Alexis Manin <alexis.manin@geomatys.com>
Date: Thu, 18 Nov 2021 17:44:53 +0100
Subject: [PATCH 26/44] feat(Core): add new flavors of permSort: allow user to
 specify a comparator (sort with) or a custom field to use in buffer values
 (sort by).

---
 .../space/kscience/kmath/misc/sorting.kt      | 35 +++++++++++-----
 .../space/kscience/kmath/misc/PermSortTest.kt | 41 ++++++++++++++++---
 2 files changed, 61 insertions(+), 15 deletions(-)

diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/misc/sorting.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/misc/sorting.kt
index a72ef19cc..a144e49b4 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/misc/sorting.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/misc/sorting.kt
@@ -6,23 +6,38 @@
 package space.kscience.kmath.misc
 
 import kotlin.comparisons.*
-import space.kscience.kmath.misc.UnstableKMathAPI
 import space.kscience.kmath.structures.Buffer
-import space.kscience.kmath.structures.indices
 
 /**
  * Return a new list filled with buffer indices. Indice order is defined by sorting associated buffer value.
  * This feature allows to sort buffer values without reordering its content.
- * 
- * @param descending True to revert sort order from highest to lowest values. Default to ascending order.
+ *
  * @return List of buffer indices, sorted by associated value.
  */
 @PerformancePitfall
 @UnstableKMathAPI
-public fun <V: Comparable<V>> Buffer<V>.permSort(descending : Boolean = false) : IntArray {
-    if (size < 2) return IntArray(size)
+public fun <V: Comparable<V>> Buffer<V>.permSort() : IntArray = _permSortWith(compareBy<Int> { get(it) })
 
-    val comparator = if (descending) compareByDescending<Int> { get(it) } else compareBy<Int> { get(it) }
+@PerformancePitfall
+@UnstableKMathAPI
+public fun <V: Comparable<V>> Buffer<V>.permSortDescending() : IntArray = _permSortWith(compareByDescending<Int> { get(it) })
+
+@PerformancePitfall
+@UnstableKMathAPI
+public fun <V, C: Comparable<C>> Buffer<V>.permSortBy(selector: (V) -> C) : IntArray = _permSortWith(compareBy<Int> { selector(get(it)) })
+
+@PerformancePitfall
+@UnstableKMathAPI
+public fun <V, C: Comparable<C>> Buffer<V>.permSortByDescending(selector: (V) -> C) : IntArray = _permSortWith(compareByDescending<Int> { selector(get(it)) })
+
+@PerformancePitfall
+@UnstableKMathAPI
+public fun <V> Buffer<V>.permSortWith(comparator : Comparator<V>) : IntArray = _permSortWith { i1, i2 -> comparator.compare(get(i1), get(i2)) }
+
+@PerformancePitfall
+@UnstableKMathAPI
+private fun <V> Buffer<V>._permSortWith(comparator : Comparator<Int>) : IntArray {
+    if (size < 2) return IntArray(size)
 
     /* TODO: optimisation : keep a constant big array of indices (Ex: from 0 to 4096), then create indice
      * arrays more efficiently by copying subpart of cached one. For bigger needs, we could copy entire
@@ -31,10 +46,10 @@ public fun <V: Comparable<V>> Buffer<V>.permSort(descending : Boolean = false) :
      *  2. Some benchmark would be needed to ensure it would really provide better performance
      */
     val packedIndices = IntArray(size) { idx -> idx }
-    
-    /* TODO: find an efficient way to sort in-place instead, and return directly the IntArray. 
+
+    /* TODO: find an efficient way to sort in-place instead, and return directly the IntArray.
      * Not done for now, because no standard utility is provided yet. An open issue exists for this.
-     * See: https://youtrack.jetbrains.com/issue/KT-37860 
+     * See: https://youtrack.jetbrains.com/issue/KT-37860
      */
     return packedIndices.sortedWith(comparator).toIntArray()
 }
diff --git a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/misc/PermSortTest.kt b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/misc/PermSortTest.kt
index cb47f2d4b..0a2bb9138 100644
--- a/kmath-core/src/commonTest/kotlin/space/kscience/kmath/misc/PermSortTest.kt
+++ b/kmath-core/src/commonTest/kotlin/space/kscience/kmath/misc/PermSortTest.kt
@@ -5,17 +5,24 @@
 
 package space.kscience.kmath.misc
 
-import kotlin.collections.mutableListOf
+import space.kscience.kmath.misc.PermSortTest.Platform.*
 import kotlin.random.Random
 import kotlin.test.Test
 import kotlin.test.assertEquals
 import kotlin.test.assertTrue
-import kotlin.test.fail
 
 import space.kscience.kmath.structures.IntBuffer
+import space.kscience.kmath.structures.asBuffer
+import kotlin.test.assertContentEquals
 
 class PermSortTest {
 
+    private enum class Platform {
+        ANDROID, JVM, JS, NATIVE, WASM
+    }
+
+    private val platforms = Platform.values().asBuffer()
+
     /**
      * Permutation on empty buffer should immediately return an empty array.
      */
@@ -24,7 +31,7 @@ class PermSortTest {
         val emptyBuffer = IntBuffer(0) {it}
         var permutations = emptyBuffer.permSort()
         assertTrue(permutations.isEmpty(), "permutation on an empty buffer should return an empty result")
-        permutations = emptyBuffer.permSort(true)
+        permutations = emptyBuffer.permSortDescending()
         assertTrue(permutations.isEmpty(), "permutation on an empty buffer should return an empty result")
     }
 
@@ -34,10 +41,34 @@ class PermSortTest {
     }
 
     @Test
-    public fun testOnSomeValues() {
+    fun testOnSomeValues() {
         testPermutation(10)
     }
 
+    @Test
+    fun testPermSortBy() {
+        val permutations = platforms.permSortBy { it.name }
+        val expected = listOf(ANDROID, JS, JVM, NATIVE, WASM)
+        assertContentEquals(expected, permutations.map { platforms[it] }, "Ascending PermSort by name")
+    }
+
+    @Test
+    fun testPermSortByDescending() {
+        val permutations = platforms.permSortByDescending { it.name }
+        val expected = listOf(WASM, NATIVE, JVM, JS, ANDROID)
+        assertContentEquals(expected, permutations.map { platforms[it] }, "Descending PermSort by name")
+    }
+
+    @Test
+    fun testPermSortWith() {
+        var permutations = platforms.permSortWith { p1, p2 -> p1.name.length.compareTo(p2.name.length) }
+        val expected = listOf(JS, JVM, WASM, NATIVE, ANDROID)
+        assertContentEquals(expected, permutations.map { platforms[it] }, "PermSort using custom ascending comparator")
+
+        permutations = platforms.permSortWith(compareByDescending { it.name.length })
+        assertContentEquals(expected.reversed(), permutations.map { platforms[it] }, "PermSort using custom descending comparator")
+    }
+
     private fun testPermutation(bufferSize: Int) {   
 
         val seed = Random.nextLong()
@@ -56,7 +87,7 @@ class PermSortTest {
             assertTrue(current <= next, "Permutation indices not properly sorted")
         }
 
-        val descIndices = buffer.permSort(true)
+        val descIndices = buffer.permSortDescending()
         assertEquals(bufferSize, descIndices.size) 
         // Ensure no doublon is present in indices
         assertEquals(descIndices.toSet().size, descIndices.size)

From 24799a691f23805fba77342d31b9ced16617fc84 Mon Sep 17 00:00:00 2001
From: Alexander Nozik <altavir@gmail.com>
Date: Tue, 23 Nov 2021 10:32:51 +0300
Subject: [PATCH 27/44] Add inc/dec to counters

---
 .../space/kscience/kmath/histogram/Counter.kt | 26 ++++++++++++++++---
 .../kmath/histogram/DoubleHistogramSpace.kt   |  2 +-
 .../kmath/histogram/IndexedHistogramSpace.kt  |  1 -
 .../kmath/histogram/TreeHistogramSpace.kt     |  2 +-
 .../kmath/tensorflow/TensorFlowAlgebra.kt     |  4 ++-
 5 files changed, 28 insertions(+), 7 deletions(-)

diff --git a/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/Counter.kt b/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/Counter.kt
index 4f5a1ceba..5755e05f7 100644
--- a/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/Counter.kt
+++ b/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/Counter.kt
@@ -8,7 +8,7 @@ package space.kscience.kmath.histogram
 import kotlinx.atomicfu.atomic
 import kotlinx.atomicfu.getAndUpdate
 import space.kscience.kmath.operations.DoubleField
-import space.kscience.kmath.operations.Ring
+import space.kscience.kmath.operations.Group
 
 /**
  * Common representation for atomic counters
@@ -18,7 +18,7 @@ public interface Counter<T : Any> {
     public val value: T
 
     public companion object {
-        public fun real(): ObjectCounter<Double> = ObjectCounter(DoubleField)
+        public fun double(): ObjectCounter<Double> = ObjectCounter(DoubleField)
     }
 }
 
@@ -32,6 +32,16 @@ public class IntCounter : Counter<Int> {
     override val value: Int get() = innerValue.value
 }
 
+public operator fun IntCounter.inc(): IntCounter {
+    add(1)
+    return this
+}
+
+public operator fun IntCounter.dec(): IntCounter {
+    add(-1)
+    return this
+}
+
 public class LongCounter : Counter<Long> {
     private val innerValue = atomic(0L)
 
@@ -42,7 +52,17 @@ public class LongCounter : Counter<Long> {
     override val value: Long get() = innerValue.value
 }
 
-public class ObjectCounter<T : Any>(public val group: Ring<T>) : Counter<T> {
+public operator fun LongCounter.inc(): LongCounter {
+    add(1L)
+    return this
+}
+
+public operator fun LongCounter.dec(): LongCounter {
+    add(-1L)
+    return this
+}
+
+public class ObjectCounter<T : Any>(private val group: Group<T>) : Counter<T> {
     private val innerValue = atomic(group.zero)
 
     override fun add(delta: T) {
diff --git a/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/DoubleHistogramSpace.kt b/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/DoubleHistogramSpace.kt
index c452edc9c..39121f301 100644
--- a/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/DoubleHistogramSpace.kt
+++ b/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/DoubleHistogramSpace.kt
@@ -74,7 +74,7 @@ public class DoubleHistogramSpace(
     }
 
     override fun produce(builder: HistogramBuilder<Double>.() -> Unit): IndexedHistogram<Double, Double> {
-        val ndCounter = StructureND.auto(shape) { Counter.real() }
+        val ndCounter = StructureND.auto(shape) { Counter.double() }
         val hBuilder = HistogramBuilder<Double> { point, value ->
             val index = getIndex(point)
             ndCounter[index].add(value.toDouble())
diff --git a/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/IndexedHistogramSpace.kt b/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/IndexedHistogramSpace.kt
index f36f45389..cbf0bea1a 100644
--- a/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/IndexedHistogramSpace.kt
+++ b/kmath-histograms/src/commonMain/kotlin/space/kscience/kmath/histogram/IndexedHistogramSpace.kt
@@ -41,7 +41,6 @@ public class IndexedHistogram<T : Comparable<T>, V : Any>(
         get() = DefaultStrides(context.shape).asSequence().map {
             context.produceBin(it, values[it])
         }.asIterable()
-
 }
 
 /**
diff --git a/kmath-histograms/src/jvmMain/kotlin/space/kscience/kmath/histogram/TreeHistogramSpace.kt b/kmath-histograms/src/jvmMain/kotlin/space/kscience/kmath/histogram/TreeHistogramSpace.kt
index cc54d7e1a..4103fa653 100644
--- a/kmath-histograms/src/jvmMain/kotlin/space/kscience/kmath/histogram/TreeHistogramSpace.kt
+++ b/kmath-histograms/src/jvmMain/kotlin/space/kscience/kmath/histogram/TreeHistogramSpace.kt
@@ -39,7 +39,7 @@ public class TreeHistogram(
 @PublishedApi
 internal class TreeHistogramBuilder(val binFactory: (Double) -> UnivariateDomain) : UnivariateHistogramBuilder {
 
-    internal class BinCounter(val domain: UnivariateDomain, val counter: Counter<Double> = Counter.real()) :
+    internal class BinCounter(val domain: UnivariateDomain, val counter: Counter<Double> = Counter.double()) :
         ClosedFloatingPointRange<Double> by domain.range
 
     private val bins: TreeMap<Double, BinCounter> = TreeMap()
diff --git a/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/TensorFlowAlgebra.kt b/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/TensorFlowAlgebra.kt
index 1f545d121..7ad91c267 100644
--- a/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/TensorFlowAlgebra.kt
+++ b/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/TensorFlowAlgebra.kt
@@ -232,4 +232,6 @@ public abstract class TensorFlowAlgebra<T, TT : TType, A : Ring<T>> internal con
     @OptIn(UnstableKMathAPI::class)
     override fun export(arg: StructureND<T>): StructureND<T> =
         if (arg is TensorFlowOutput<T, *>) arg.actualTensor else arg
-}
\ No newline at end of file
+}
+
+//TODO add TensorFlow expressions
\ No newline at end of file

From d2e311048078c7d2f6279277f2c9f2a31c7bb0a7 Mon Sep 17 00:00:00 2001
From: Iaroslav Postovalov <postovalovya@gmail.com>
Date: Wed, 24 Nov 2021 03:48:43 +0700
Subject: [PATCH 28/44] Update gradle-tools, do Kotlin 1.6.0 migrations

---
 benchmarks/build.gradle.kts                   |  8 +++----
 build.gradle.kts                              |  8 +++----
 buildSrc/build.gradle.kts                     |  6 +++---
 examples/build.gradle.kts                     |  8 +++----
 kmath-ast/build.gradle.kts                    |  2 +-
 .../random/CMRandomGeneratorWrapper.kt        |  3 ---
 kmath-core/build.gradle.kts                   | 21 +++++++------------
 .../space/kscience/kmath/misc/annotations.kt  |  6 +++---
 .../kmath/operations/BufferAlgebra.kt         |  5 -----
 .../kmath/operations/DoubleBufferField.kt     |  1 -
 .../kmath/operations/DoubleBufferOps.kt       |  2 --
 kmath-coroutines/build.gradle.kts             |  6 +++---
 kmath-jafama/build.gradle.kts                 |  2 +-
 kmath-jupyter/build.gradle.kts                |  4 ++--
 kmath-optimization/build.gradle.kts           |  4 ++++
 kmath-tensors/build.gradle.kts                |  6 +++++-
 .../kmath/tensors/core/DoubleTensorAlgebra.kt |  1 -
 settings.gradle.kts                           |  9 +-------
 18 files changed, 42 insertions(+), 60 deletions(-)

diff --git a/benchmarks/build.gradle.kts b/benchmarks/build.gradle.kts
index 130cc84a3..ea9934a52 100644
--- a/benchmarks/build.gradle.kts
+++ b/benchmarks/build.gradle.kts
@@ -48,7 +48,7 @@ kotlin {
                 implementation(project(":kmath-nd4j"))
                 implementation(project(":kmath-kotlingrad"))
                 implementation(project(":kmath-viktor"))
-                implementation(projects.kmathMultik)
+                implementation(project(":kmath-multik"))
                 implementation("org.nd4j:nd4j-native:1.0.0-M1")
                 //    uncomment if your system supports AVX2
                 //    val os = System.getProperty("os.name")
@@ -134,9 +134,9 @@ afterEvaluate {
 
 kotlin.sourceSets.all {
     with(languageSettings) {
-        useExperimentalAnnotation("kotlin.contracts.ExperimentalContracts")
-        useExperimentalAnnotation("kotlin.ExperimentalUnsignedTypes")
-        useExperimentalAnnotation("space.kscience.kmath.misc.UnstableKMathAPI")
+        optIn("kotlin.contracts.ExperimentalContracts")
+        optIn("kotlin.ExperimentalUnsignedTypes")
+        optIn("space.kscience.kmath.misc.UnstableKMathAPI")
     }
 }
 
diff --git a/build.gradle.kts b/build.gradle.kts
index c2347f7be..919356c0f 100644
--- a/build.gradle.kts
+++ b/build.gradle.kts
@@ -39,7 +39,7 @@ subprojects {
                     localDirectory.set(kotlinDir)
 
                     remoteUrl.set(
-                        URL("https://github.com/mipt-npm/${rootProject.name}/tree/master/${this@subprojects.name}/$kotlinDirPath")
+                        URL("https://github.com/mipt-npm/kmath/tree/master/${this@subprojects.name}/$kotlinDirPath")
                     )
                 }
 
@@ -64,9 +64,9 @@ subprojects {
 readme.readmeTemplate = file("docs/templates/README-TEMPLATE.md")
 
 ksciencePublish {
-    vcs("https://github.com/mipt-npm/kmath")
-    space(publish = true)
-    sonatype(publish = true)
+    github("kmath", publish = false)
+    space()
+    sonatype()
 }
 
 apiValidation.nonPublicMarkers.add("space.kscience.kmath.misc.UnstableKMathAPI")
diff --git a/buildSrc/build.gradle.kts b/buildSrc/build.gradle.kts
index 36a1ffd9e..072309332 100644
--- a/buildSrc/build.gradle.kts
+++ b/buildSrc/build.gradle.kts
@@ -1,6 +1,6 @@
 plugins {
     `kotlin-dsl`
-    kotlin("plugin.serialization") version "1.4.31"
+    kotlin("plugin.serialization") version "1.5.21"
 }
 
 repositories {
@@ -10,8 +10,8 @@ repositories {
 }
 
 dependencies {
-    api("org.jetbrains.kotlinx:kotlinx-serialization-json:1.1.0")
-    api("ru.mipt.npm:gradle-tools:0.10.2")
+    api("org.jetbrains.kotlinx:kotlinx-serialization-json:1.2.2")
+    api("ru.mipt.npm:gradle-tools:0.10.7")
     api("org.jetbrains.kotlinx:kotlinx-benchmark-plugin:0.3.1")
 }
 
diff --git a/examples/build.gradle.kts b/examples/build.gradle.kts
index 05e562143..990b564e1 100644
--- a/examples/build.gradle.kts
+++ b/examples/build.gradle.kts
@@ -32,7 +32,7 @@ dependencies {
     //jafama
     implementation(project(":kmath-jafama"))
     //multik
-    implementation(projects.kmathMultik)
+    implementation(project(":kmath-multik"))
 
 
     implementation("org.nd4j:nd4j-native:1.0.0-beta7")
@@ -57,9 +57,9 @@ dependencies {
 
 kotlin.sourceSets.all {
     with(languageSettings) {
-        useExperimentalAnnotation("kotlin.contracts.ExperimentalContracts")
-        useExperimentalAnnotation("kotlin.ExperimentalUnsignedTypes")
-        useExperimentalAnnotation("space.kscience.kmath.misc.UnstableKMathAPI")
+        optIn("kotlin.contracts.ExperimentalContracts")
+        optIn("kotlin.ExperimentalUnsignedTypes")
+        optIn("space.kscience.kmath.misc.UnstableKMathAPI")
     }
 }
 
diff --git a/kmath-ast/build.gradle.kts b/kmath-ast/build.gradle.kts
index 331d8c614..15b1d0900 100644
--- a/kmath-ast/build.gradle.kts
+++ b/kmath-ast/build.gradle.kts
@@ -20,7 +20,7 @@ kotlin.js {
 kotlin.sourceSets {
     filter { it.name.contains("test", true) }
         .map(org.jetbrains.kotlin.gradle.plugin.KotlinSourceSet::languageSettings)
-        .forEach { it.useExperimentalAnnotation("space.kscience.kmath.misc.UnstableKMathAPI") }
+        .forEach { it.optIn("space.kscience.kmath.misc.UnstableKMathAPI") }
 
     commonMain {
         dependencies {
diff --git a/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/random/CMRandomGeneratorWrapper.kt b/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/random/CMRandomGeneratorWrapper.kt
index 6aeebb68c..194be6002 100644
--- a/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/random/CMRandomGeneratorWrapper.kt
+++ b/kmath-commons/src/main/kotlin/space/kscience/kmath/commons/random/CMRandomGeneratorWrapper.kt
@@ -38,10 +38,7 @@ public class CMRandomGeneratorWrapper(
 
     override fun nextInt(): Int = generator.nextInt()
     override fun nextInt(n: Int): Int = generator.nextInt(n)
-
-    @PerformancePitfall
     override fun nextGaussian(): Double = runBlocking { GaussianSampler(0.0, 1.0).next(generator) }
-
     override fun nextDouble(): Double = generator.nextDouble()
     override fun nextLong(): Long = generator.nextLong()
 }
diff --git a/kmath-core/build.gradle.kts b/kmath-core/build.gradle.kts
index 143e576f7..490868a0b 100644
--- a/kmath-core/build.gradle.kts
+++ b/kmath-core/build.gradle.kts
@@ -5,21 +5,14 @@ plugins {
 //    id("com.xcporter.metaview") version "0.0.5"
 }
 
-kotlin {
-    jvm {
-        compilations.all {
-            kotlinOptions {
-                freeCompilerArgs =
-                    freeCompilerArgs + "-Xjvm-default=all" + "-Xopt-in=kotlin.RequiresOptIn" + "-Xlambdas=indy"
-            }
-        }
-    }
+kotlin.sourceSets {
+    filter { it.name.contains("test", true) }
+        .map(org.jetbrains.kotlin.gradle.plugin.KotlinSourceSet::languageSettings)
+        .forEach { it.optIn("space.kscience.kmath.misc.PerformancePitfall") }
 
-    sourceSets {
-        commonMain {
-            dependencies {
-                api(project(":kmath-memory"))
-            }
+    commonMain {
+        dependencies {
+            api(project(":kmath-memory"))
         }
     }
 }
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/misc/annotations.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/misc/annotations.kt
index 73ecd6492..7c612b6a9 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/misc/annotations.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/misc/annotations.kt
@@ -12,7 +12,7 @@ package space.kscience.kmath.misc
  * in some way that may break some code.
  */
 @MustBeDocumented
-@Retention(value = AnnotationRetention.SOURCE)
+@Retention(value = AnnotationRetention.BINARY)
 @RequiresOptIn("This API is unstable and could change in future", RequiresOptIn.Level.WARNING)
 public annotation class UnstableKMathAPI
 
@@ -21,10 +21,10 @@ public annotation class UnstableKMathAPI
  * slow-down in some cases. Refer to the documentation and benchmark it to be sure.
  */
 @MustBeDocumented
-@Retention(value = AnnotationRetention.SOURCE)
+@Retention(value = AnnotationRetention.BINARY)
 @RequiresOptIn(
     "Refer to the documentation to use this API in performance-critical code",
-    RequiresOptIn.Level.WARNING
+    RequiresOptIn.Level.WARNING,
 )
 public annotation class PerformancePitfall(
     val message: String = "Potential performance problem"
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/BufferAlgebra.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/BufferAlgebra.kt
index 634a115c7..653552044 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/BufferAlgebra.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/BufferAlgebra.kt
@@ -35,13 +35,11 @@ public interface BufferAlgebra<T, out A : Algebra<T>> : Algebra<Buffer<T>> {
     public fun Buffer<T>.zip(other: Buffer<T>, block: A.(left: T, right: T) -> T): Buffer<T> =
         zipInline(this, other, block)
 
-    @UnstableKMathAPI
     override fun unaryOperationFunction(operation: String): (arg: Buffer<T>) -> Buffer<T> {
         val operationFunction = elementAlgebra.unaryOperationFunction(operation)
         return { arg -> bufferFactory(arg.size) { operationFunction(arg[it]) } }
     }
 
-    @UnstableKMathAPI
     override fun binaryOperationFunction(operation: String): (left: Buffer<T>, right: Buffer<T>) -> Buffer<T> {
         val operationFunction = elementAlgebra.binaryOperationFunction(operation)
         return { left, right ->
@@ -141,11 +139,9 @@ public open class BufferRingOps<T, A: Ring<T>>(
     override fun multiply(left: Buffer<T>, right: Buffer<T>): Buffer<T> = zipInline(left, right) { l, r -> l * r }
     override fun Buffer<T>.unaryMinus(): Buffer<T> = map { -it }
 
-    @UnstableKMathAPI
     override fun unaryOperationFunction(operation: String): (arg: Buffer<T>) -> Buffer<T> =
         super<BufferAlgebra>.unaryOperationFunction(operation)
 
-    @UnstableKMathAPI
     override fun binaryOperationFunction(operation: String): (left: Buffer<T>, right: Buffer<T>) -> Buffer<T> =
         super<BufferAlgebra>.binaryOperationFunction(operation)
 }
@@ -165,7 +161,6 @@ public open class BufferFieldOps<T, A : Field<T>>(
     override fun scale(a: Buffer<T>, value: Double): Buffer<T> = a.map { scale(it, value) }
     override fun Buffer<T>.unaryMinus(): Buffer<T> = map { -it }
 
-    @UnstableKMathAPI
     override fun binaryOperationFunction(operation: String): (left: Buffer<T>, right: Buffer<T>) -> Buffer<T> =
         super<BufferRingOps>.binaryOperationFunction(operation)
 }
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/DoubleBufferField.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/DoubleBufferField.kt
index 8ec3c3aea..f2f7326aa 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/DoubleBufferField.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/DoubleBufferField.kt
@@ -40,7 +40,6 @@ public class DoubleBufferField(public val size: Int) : ExtendedField<Buffer<Doub
         }
     }
 
-    @UnstableKMathAPI
     override fun unaryOperationFunction(operation: String): (arg: Buffer<Double>) -> Buffer<Double> =
         super<ExtendedField>.unaryOperationFunction(operation)
 
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/DoubleBufferOps.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/DoubleBufferOps.kt
index a5e1c42e2..0ee591acc 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/DoubleBufferOps.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/operations/DoubleBufferOps.kt
@@ -26,11 +26,9 @@ public abstract class DoubleBufferOps : BufferAlgebra<Double, DoubleField>, Exte
     override fun Buffer<Double>.map(block: DoubleField.(Double) -> Double): DoubleBuffer =
         mapInline { DoubleField.block(it) }
 
-    @UnstableKMathAPI
     override fun unaryOperationFunction(operation: String): (arg: Buffer<Double>) -> Buffer<Double> =
         super<ExtendedFieldOps>.unaryOperationFunction(operation)
 
-    @UnstableKMathAPI
     override fun binaryOperationFunction(operation: String): (left: Buffer<Double>, right: Buffer<Double>) -> Buffer<Double> =
         super<ExtendedFieldOps>.binaryOperationFunction(operation)
 
diff --git a/kmath-coroutines/build.gradle.kts b/kmath-coroutines/build.gradle.kts
index 317691ae5..aa30c412b 100644
--- a/kmath-coroutines/build.gradle.kts
+++ b/kmath-coroutines/build.gradle.kts
@@ -7,9 +7,9 @@ plugins {
 kotlin.sourceSets {
     all {
         with(languageSettings) {
-            useExperimentalAnnotation("kotlinx.coroutines.InternalCoroutinesApi")
-            useExperimentalAnnotation("kotlinx.coroutines.ExperimentalCoroutinesApi")
-            useExperimentalAnnotation("kotlinx.coroutines.FlowPreview")
+            optIn("kotlinx.coroutines.InternalCoroutinesApi")
+            optIn("kotlinx.coroutines.ExperimentalCoroutinesApi")
+            optIn("kotlinx.coroutines.FlowPreview")
         }
     }
 
diff --git a/kmath-jafama/build.gradle.kts b/kmath-jafama/build.gradle.kts
index 9cf328d0b..925a2bc60 100644
--- a/kmath-jafama/build.gradle.kts
+++ b/kmath-jafama/build.gradle.kts
@@ -23,5 +23,5 @@ readme {
 }
 
 kotlin.sourceSets.all {
-    languageSettings.useExperimentalAnnotation("space.kscience.kmath.misc.UnstableKMathAPI")
+    languageSettings.optIn("space.kscience.kmath.misc.UnstableKMathAPI")
 }
diff --git a/kmath-jupyter/build.gradle.kts b/kmath-jupyter/build.gradle.kts
index 5bd08c485..ca1a5485f 100644
--- a/kmath-jupyter/build.gradle.kts
+++ b/kmath-jupyter/build.gradle.kts
@@ -9,7 +9,7 @@ dependencies {
     api(project(":kmath-for-real"))
 }
 
-kscience{
+kscience {
     useHtml()
 }
 
@@ -18,7 +18,7 @@ readme {
 }
 
 kotlin.sourceSets.all {
-    languageSettings.useExperimentalAnnotation("space.kscience.kmath.misc.UnstableKMathAPI")
+    languageSettings.optIn("space.kscience.kmath.misc.UnstableKMathAPI")
 }
 
 tasks.processJupyterApiResources {
diff --git a/kmath-optimization/build.gradle.kts b/kmath-optimization/build.gradle.kts
index 68b82ad65..b920b9267 100644
--- a/kmath-optimization/build.gradle.kts
+++ b/kmath-optimization/build.gradle.kts
@@ -8,6 +8,10 @@ kscience {
 }
 
 kotlin.sourceSets {
+    all {
+        languageSettings.optIn("space.kscience.kmath.misc.UnstableKMathAPI")
+    }
+
     commonMain {
         dependencies {
             api(project(":kmath-coroutines"))
diff --git a/kmath-tensors/build.gradle.kts b/kmath-tensors/build.gradle.kts
index d084878ea..66316d21d 100644
--- a/kmath-tensors/build.gradle.kts
+++ b/kmath-tensors/build.gradle.kts
@@ -6,9 +6,13 @@ plugins {
 
 kotlin.sourceSets {
     all {
-        languageSettings.useExperimentalAnnotation("space.kscience.kmath.misc.UnstableKMathAPI")
+        languageSettings.optIn("space.kscience.kmath.misc.UnstableKMathAPI")
     }
 
+    filter { it.name.contains("test", true) }
+        .map(org.jetbrains.kotlin.gradle.plugin.KotlinSourceSet::languageSettings)
+        .forEach { it.optIn("space.kscience.kmath.misc.PerformancePitfall") }
+
     commonMain {
         dependencies {
             api(project(":kmath-core"))
diff --git a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
index ae1a053af..dc3ec43e9 100644
--- a/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
+++ b/kmath-tensors/src/commonMain/kotlin/space/kscience/kmath/tensors/core/DoubleTensorAlgebra.kt
@@ -384,7 +384,6 @@ public open class DoubleTensorAlgebra :
     override fun Tensor<Double>.viewAs(other: StructureND<Double>): DoubleTensor =
         tensor.view(other.shape)
 
-    @PerformancePitfall
     override infix fun StructureND<Double>.dot(other: StructureND<Double>): DoubleTensor {
         if (tensor.shape.size == 1 && other.shape.size == 1) {
             return DoubleTensor(intArrayOf(1), doubleArrayOf(tensor.times(other).tensor.mutableBuffer.array().sum()))
diff --git a/settings.gradle.kts b/settings.gradle.kts
index e73381bf2..343e937e1 100644
--- a/settings.gradle.kts
+++ b/settings.gradle.kts
@@ -5,14 +5,10 @@ pluginManagement {
         gradlePluginPortal()
     }
 
-    val kotlinVersion = "1.6.0-RC"
-    val toolsVersion = "0.10.5"
+    val kotlinVersion = "1.6.0"
 
     plugins {
         id("org.jetbrains.kotlinx.benchmark") version "0.3.1"
-        id("ru.mipt.npm.gradle.project") version toolsVersion
-        id("ru.mipt.npm.gradle.jvm") version toolsVersion
-        id("ru.mipt.npm.gradle.mpp") version toolsVersion
         kotlin("multiplatform") version kotlinVersion
         kotlin("plugin.allopen") version kotlinVersion
     }
@@ -20,9 +16,6 @@ pluginManagement {
 
 rootProject.name = "kmath"
 
-enableFeaturePreview("TYPESAFE_PROJECT_ACCESSORS")
-enableFeaturePreview("VERSION_CATALOGS")
-
 include(
     ":kmath-memory",
     ":kmath-complex",

From 5ba7d74bd249a02e742ad2e0bbcde83bf4bc0858 Mon Sep 17 00:00:00 2001
From: Iaroslav Postovalov <postovalovya@gmail.com>
Date: Thu, 25 Nov 2021 23:26:08 +0700
Subject: [PATCH 29/44] Completely specialized expression types for Int, Long,
 Double and compilation of MST to it

---
 .../ExpressionsInterpretersBenchmark.kt       |  20 +-
 .../space/kscience/kmath/ast/expressions.kt   |   6 +-
 .../kmath/ast/TestCompilerVariables.kt        |  16 +-
 .../lib.dom.WebAssembly.module_dukat.kt       |   4 +-
 .../kmath/wasm/internal/WasmBuilder.kt        | 190 +++----
 .../kotlin/space/kscience/kmath/wasm/wasm.kt  |  11 +-
 .../kotlin/space/kscience/kmath/asm/asm.kt    |  28 +-
 .../kscience/kmath/asm/internal/AsmBuilder.kt |  13 +-
 .../asm/internal/ByteArrayClassLoader.kt      |   6 -
 .../kmath/asm/internal/GenericAsmBuilder.kt   |  14 +-
 .../kmath/asm/internal/PrimitiveAsmBuilder.kt | 464 +++++++++++-------
 kmath-core/build.gradle.kts                   |   5 +-
 .../kscience/kmath/expressions/Expression.kt  | 132 +++++
 kmath-kotlingrad/build.gradle.kts             |   5 +
 .../kscience/kmath/internal/InternalGamma.kt  |   2 +-
 15 files changed, 615 insertions(+), 301 deletions(-)
 delete mode 100644 kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/ByteArrayClassLoader.kt

diff --git a/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/ExpressionsInterpretersBenchmark.kt b/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/ExpressionsInterpretersBenchmark.kt
index f3a52ab5f..db3524e67 100644
--- a/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/ExpressionsInterpretersBenchmark.kt
+++ b/benchmarks/src/jvmMain/kotlin/space/kscience/kmath/benchmarks/ExpressionsInterpretersBenchmark.kt
@@ -38,6 +38,22 @@ internal class ExpressionsInterpretersBenchmark {
     @Benchmark
     fun asmGenericExpression(blackhole: Blackhole) = invokeAndSum(asmGeneric, blackhole)
 
+    /**
+     * Benchmark case for [Expression] created with [compileToExpression].
+     */
+    @Benchmark
+    fun asmPrimitiveExpressionArray(blackhole: Blackhole) {
+        val random = Random(0)
+        var sum = 0.0
+        val m = DoubleArray(1)
+
+        repeat(times) {
+            m[xIdx] = random.nextDouble()
+            sum += asmPrimitive(m)
+        }
+
+        blackhole.consume(sum)
+    }
 
     /**
      * Benchmark case for [Expression] created with [compileToExpression].
@@ -82,7 +98,6 @@ internal class ExpressionsInterpretersBenchmark {
 
     private companion object {
         private val x by symbol
-        private val algebra = DoubleField
         private const val times = 1_000_000
 
         private val functional = DoubleField.expression {
@@ -95,7 +110,10 @@ internal class ExpressionsInterpretersBenchmark {
         }
 
         private val mst = node.toExpression(DoubleField)
+
         private val asmPrimitive = node.compileToExpression(DoubleField)
+        private val xIdx = asmPrimitive.indexer.indexOf(x)
+
         private val asmGeneric = node.compileToExpression(DoubleField as Algebra<Double>)
 
         private val raw = Expression<Double> { args ->
diff --git a/examples/src/main/kotlin/space/kscience/kmath/ast/expressions.kt b/examples/src/main/kotlin/space/kscience/kmath/ast/expressions.kt
index ffafdc99d..907f1bbe4 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/ast/expressions.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/ast/expressions.kt
@@ -7,7 +7,6 @@ package space.kscience.kmath.ast
 
 import space.kscience.kmath.asm.compileToExpression
 import space.kscience.kmath.expressions.MstExtendedField
-import space.kscience.kmath.expressions.Symbol
 import space.kscience.kmath.expressions.Symbol.Companion.x
 import space.kscience.kmath.operations.DoubleField
 import space.kscience.kmath.operations.invoke
@@ -17,10 +16,11 @@ fun main() {
         x * 2.0 + number(2.0) / x - number(16.0) + asinh(x) / sin(x)
     }.compileToExpression(DoubleField)
 
-    val m = HashMap<Symbol, Double>()
+    val m = DoubleArray(expr.indexer.symbols.size)
+    val xIdx = expr.indexer.indexOf(x)
 
     repeat(10000000) {
-        m[x] = 1.0
+        m[xIdx] = 1.0
         expr(m)
     }
 }
diff --git a/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestCompilerVariables.kt b/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestCompilerVariables.kt
index af1a2e338..859e56032 100644
--- a/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestCompilerVariables.kt
+++ b/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestCompilerVariables.kt
@@ -7,7 +7,9 @@ package space.kscience.kmath.ast
 
 import space.kscience.kmath.expressions.MstRing
 import space.kscience.kmath.expressions.Symbol.Companion.x
+import space.kscience.kmath.expressions.Symbol.Companion.y
 import space.kscience.kmath.expressions.invoke
+import space.kscience.kmath.operations.DoubleField
 import space.kscience.kmath.operations.IntRing
 import space.kscience.kmath.operations.invoke
 import kotlin.test.Test
@@ -16,11 +18,23 @@ import kotlin.test.assertFailsWith
 
 internal class TestCompilerVariables {
     @Test
-    fun testVariable() = runCompilerTest {
+    fun testNoVariables() = runCompilerTest {
+        val expr = "0".parseMath().compileToExpression(IntRing)
+        assertEquals(0, expr())
+    }
+
+    @Test
+    fun testOneVariable() = runCompilerTest {
         val expr = MstRing { x }.compileToExpression(IntRing)
         assertEquals(1, expr(x to 1))
     }
 
+    @Test
+    fun testTwoVariables() = runCompilerTest {
+        val expr = "y+x/y+x".parseMath().compileToExpression(DoubleField)
+        assertEquals(8.0, expr(x to 4.0, y to 2.0))
+    }
+
     @Test
     fun testUndefinedVariableFails() = runCompilerTest {
         val expr = MstRing { x }.compileToExpression(IntRing)
diff --git a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/webassembly/lib.dom.WebAssembly.module_dukat.kt b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/webassembly/lib.dom.WebAssembly.module_dukat.kt
index 3754c3eff..90690abed 100644
--- a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/webassembly/lib.dom.WebAssembly.module_dukat.kt
+++ b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/internal/webassembly/lib.dom.WebAssembly.module_dukat.kt
@@ -201,8 +201,8 @@ internal open external class Module {
 }
 
 @JsName("Instance")
-internal open external class Instance(module: Module, importObject: Any = definedExternally) {
-    open var exports: Any
+internal open external class Instance(module: Module, importObject: dynamic = definedExternally) {
+    open var exports: dynamic
 }
 
 @JsName("Memory")
diff --git a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/internal/WasmBuilder.kt b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/internal/WasmBuilder.kt
index 622e6e6ec..2d6619bba 100644
--- a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/internal/WasmBuilder.kt
+++ b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/internal/WasmBuilder.kt
@@ -5,12 +5,11 @@
 
 package space.kscience.kmath.wasm.internal
 
-import space.kscience.kmath.expressions.Expression
-import space.kscience.kmath.expressions.MST
+import space.kscience.kmath.expressions.*
 import space.kscience.kmath.expressions.MST.*
-import space.kscience.kmath.expressions.Symbol
 import space.kscience.kmath.internal.binaryen.*
 import space.kscience.kmath.internal.webassembly.Instance
+import space.kscience.kmath.misc.UnstableKMathAPI
 import space.kscience.kmath.operations.*
 import space.kscience.kmath.internal.binaryen.Module as BinaryenModule
 import space.kscience.kmath.internal.webassembly.Module as WasmModule
@@ -18,65 +17,17 @@ import space.kscience.kmath.internal.webassembly.Module as WasmModule
 private val spreader = eval("(obj, args) => obj(...args)")
 
 @Suppress("UnsafeCastFromDynamic")
-internal sealed class WasmBuilder<T : Number>(
+internal sealed class WasmBuilder<T : Number, out E : Expression<T>>(
     protected val binaryenType: Type,
     protected val algebra: Algebra<T>,
     protected val target: MST,
 ) {
     protected val keys: MutableList<Symbol> = mutableListOf()
-    lateinit var ctx: BinaryenModule
+    protected lateinit var ctx: BinaryenModule
 
-    open fun visitSymbolic(mst: Symbol): ExpressionRef {
-        algebra.bindSymbolOrNull(mst)?.let { return visitNumeric(Numeric(it)) }
+    abstract val instance: E
 
-        var idx = keys.indexOf(mst)
-
-        if (idx == -1) {
-            keys += mst
-            idx = keys.lastIndex
-        }
-
-        return ctx.local.get(idx, binaryenType)
-    }
-
-    abstract fun visitNumeric(mst: Numeric): ExpressionRef
-
-    protected open fun visitUnary(mst: Unary): ExpressionRef =
-        error("Unary operation ${mst.operation} not defined in $this")
-
-    protected open fun visitBinary(mst: Binary): ExpressionRef =
-        error("Binary operation ${mst.operation} not defined in $this")
-
-    protected open fun createModule(): BinaryenModule = js("new \$module\$binaryen.Module()")
-
-    protected fun visit(mst: MST): ExpressionRef = when (mst) {
-        is Symbol -> visitSymbolic(mst)
-        is Numeric -> visitNumeric(mst)
-
-        is Unary -> when {
-            algebra is NumericAlgebra && mst.value is Numeric -> visitNumeric(
-                Numeric(algebra.unaryOperationFunction(mst.operation)(algebra.number((mst.value as Numeric).value)))
-            )
-
-            else -> visitUnary(mst)
-        }
-
-        is Binary -> when {
-            algebra is NumericAlgebra && mst.left is Numeric && mst.right is Numeric -> visitNumeric(
-                Numeric(
-                    algebra.binaryOperationFunction(mst.operation)
-                        .invoke(
-                            algebra.number((mst.left as Numeric).value),
-                            algebra.number((mst.right as Numeric).value)
-                        )
-                )
-            )
-
-            else -> visitBinary(mst)
-        }
-    }
-
-    val instance by lazy {
+    protected val executable = run {
         val c = WasmModule(with(createModule()) {
             ctx = this
             val expr = visit(target)
@@ -97,41 +48,93 @@ internal sealed class WasmBuilder<T : Number>(
             res
         })
 
-        val i = Instance(c, js("{}") as Any)
-        val symbols = keys
-        keys.clear()
+        Instance(c, js("{}")).exports.executable
+    }
 
-        Expression<T> { args ->
-            val params = symbols.map(args::getValue).toTypedArray()
-            spreader(i.exports.asDynamic().executable, params) as T
+    protected open fun visitSymbol(node: Symbol): ExpressionRef {
+        algebra.bindSymbolOrNull(node)?.let { return visitNumeric(Numeric(it)) }
+
+        var idx = keys.indexOf(node)
+
+        if (idx == -1) {
+            keys += node
+            idx = keys.lastIndex
+        }
+
+        return ctx.local.get(idx, binaryenType)
+    }
+
+    protected abstract fun visitNumeric(node: Numeric): ExpressionRef
+
+    protected open fun visitUnary(node: Unary): ExpressionRef =
+        error("Unary operation ${node.operation} not defined in $this")
+
+    protected open fun visitBinary(mst: Binary): ExpressionRef =
+        error("Binary operation ${mst.operation} not defined in $this")
+
+    protected open fun createModule(): BinaryenModule = js("new \$module\$binaryen.Module()")
+
+    protected fun visit(node: MST): ExpressionRef = when (node) {
+        is Symbol -> visitSymbol(node)
+        is Numeric -> visitNumeric(node)
+
+        is Unary -> when {
+            algebra is NumericAlgebra && node.value is Numeric -> visitNumeric(
+                Numeric(algebra.unaryOperationFunction(node.operation)(algebra.number((node.value as Numeric).value)))
+            )
+
+            else -> visitUnary(node)
+        }
+
+        is Binary -> when {
+            algebra is NumericAlgebra && node.left is Numeric && node.right is Numeric -> visitNumeric(
+                Numeric(
+                    algebra.binaryOperationFunction(node.operation)
+                        .invoke(
+                            algebra.number((node.left as Numeric).value),
+                            algebra.number((node.right as Numeric).value)
+                        )
+                )
+            )
+
+            else -> visitBinary(node)
         }
     }
 }
 
-internal class DoubleWasmBuilder(target: MST) : WasmBuilder<Double>(f64, DoubleField, target) {
-    override fun createModule(): BinaryenModule = readBinary(f64StandardFunctions)
+@UnstableKMathAPI
+internal class DoubleWasmBuilder(target: MST) : WasmBuilder<Double, DoubleExpression>(f64, DoubleField, target) {
+    override val instance by lazy {
+        object : DoubleExpression {
+            override val indexer = SimpleSymbolIndexer(keys)
 
-    override fun visitNumeric(mst: Numeric): ExpressionRef = ctx.f64.const(mst.value)
+            override fun invoke(arguments: DoubleArray) = spreader(executable, arguments).unsafeCast<Double>()
+        }
+    }
 
-    override fun visitUnary(mst: Unary): ExpressionRef = when (mst.operation) {
-        GroupOps.MINUS_OPERATION -> ctx.f64.neg(visit(mst.value))
-        GroupOps.PLUS_OPERATION -> visit(mst.value)
-        PowerOperations.SQRT_OPERATION -> ctx.f64.sqrt(visit(mst.value))
-        TrigonometricOperations.SIN_OPERATION -> ctx.call("sin", arrayOf(visit(mst.value)), f64)
-        TrigonometricOperations.COS_OPERATION -> ctx.call("cos", arrayOf(visit(mst.value)), f64)
-        TrigonometricOperations.TAN_OPERATION -> ctx.call("tan", arrayOf(visit(mst.value)), f64)
-        TrigonometricOperations.ASIN_OPERATION -> ctx.call("asin", arrayOf(visit(mst.value)), f64)
-        TrigonometricOperations.ACOS_OPERATION -> ctx.call("acos", arrayOf(visit(mst.value)), f64)
-        TrigonometricOperations.ATAN_OPERATION -> ctx.call("atan", arrayOf(visit(mst.value)), f64)
-        ExponentialOperations.SINH_OPERATION -> ctx.call("sinh", arrayOf(visit(mst.value)), f64)
-        ExponentialOperations.COSH_OPERATION -> ctx.call("cosh", arrayOf(visit(mst.value)), f64)
-        ExponentialOperations.TANH_OPERATION -> ctx.call("tanh", arrayOf(visit(mst.value)), f64)
-        ExponentialOperations.ASINH_OPERATION -> ctx.call("asinh", arrayOf(visit(mst.value)), f64)
-        ExponentialOperations.ACOSH_OPERATION -> ctx.call("acosh", arrayOf(visit(mst.value)), f64)
-        ExponentialOperations.ATANH_OPERATION -> ctx.call("atanh", arrayOf(visit(mst.value)), f64)
-        ExponentialOperations.EXP_OPERATION -> ctx.call("exp", arrayOf(visit(mst.value)), f64)
-        ExponentialOperations.LN_OPERATION -> ctx.call("log", arrayOf(visit(mst.value)), f64)
-        else -> super.visitUnary(mst)
+    override fun createModule() = readBinary(f64StandardFunctions)
+
+    override fun visitNumeric(node: Numeric) = ctx.f64.const(node.value)
+
+    override fun visitUnary(node: Unary): ExpressionRef = when (node.operation) {
+        GroupOps.MINUS_OPERATION -> ctx.f64.neg(visit(node.value))
+        GroupOps.PLUS_OPERATION -> visit(node.value)
+        PowerOperations.SQRT_OPERATION -> ctx.f64.sqrt(visit(node.value))
+        TrigonometricOperations.SIN_OPERATION -> ctx.call("sin", arrayOf(visit(node.value)), f64)
+        TrigonometricOperations.COS_OPERATION -> ctx.call("cos", arrayOf(visit(node.value)), f64)
+        TrigonometricOperations.TAN_OPERATION -> ctx.call("tan", arrayOf(visit(node.value)), f64)
+        TrigonometricOperations.ASIN_OPERATION -> ctx.call("asin", arrayOf(visit(node.value)), f64)
+        TrigonometricOperations.ACOS_OPERATION -> ctx.call("acos", arrayOf(visit(node.value)), f64)
+        TrigonometricOperations.ATAN_OPERATION -> ctx.call("atan", arrayOf(visit(node.value)), f64)
+        ExponentialOperations.SINH_OPERATION -> ctx.call("sinh", arrayOf(visit(node.value)), f64)
+        ExponentialOperations.COSH_OPERATION -> ctx.call("cosh", arrayOf(visit(node.value)), f64)
+        ExponentialOperations.TANH_OPERATION -> ctx.call("tanh", arrayOf(visit(node.value)), f64)
+        ExponentialOperations.ASINH_OPERATION -> ctx.call("asinh", arrayOf(visit(node.value)), f64)
+        ExponentialOperations.ACOSH_OPERATION -> ctx.call("acosh", arrayOf(visit(node.value)), f64)
+        ExponentialOperations.ATANH_OPERATION -> ctx.call("atanh", arrayOf(visit(node.value)), f64)
+        ExponentialOperations.EXP_OPERATION -> ctx.call("exp", arrayOf(visit(node.value)), f64)
+        ExponentialOperations.LN_OPERATION -> ctx.call("log", arrayOf(visit(node.value)), f64)
+        else -> super.visitUnary(node)
     }
 
     override fun visitBinary(mst: Binary): ExpressionRef = when (mst.operation) {
@@ -144,13 +147,22 @@ internal class DoubleWasmBuilder(target: MST) : WasmBuilder<Double>(f64, DoubleF
     }
 }
 
-internal class IntWasmBuilder(target: MST) : WasmBuilder<Int>(i32, IntRing, target) {
-    override fun visitNumeric(mst: Numeric): ExpressionRef = ctx.i32.const(mst.value)
+@UnstableKMathAPI
+internal class IntWasmBuilder(target: MST) : WasmBuilder<Int, IntExpression>(i32, IntRing, target) {
+    override val instance by lazy {
+        object : IntExpression {
+            override val indexer = SimpleSymbolIndexer(keys)
 
-    override fun visitUnary(mst: Unary): ExpressionRef = when (mst.operation) {
-        GroupOps.MINUS_OPERATION -> ctx.i32.sub(ctx.i32.const(0), visit(mst.value))
-        GroupOps.PLUS_OPERATION -> visit(mst.value)
-        else -> super.visitUnary(mst)
+            override fun invoke(arguments: IntArray) = spreader(executable, arguments).unsafeCast<Int>()
+        }
+    }
+
+    override fun visitNumeric(node: Numeric) = ctx.i32.const(node.value)
+
+    override fun visitUnary(node: Unary): ExpressionRef = when (node.operation) {
+        GroupOps.MINUS_OPERATION -> ctx.i32.sub(ctx.i32.const(0), visit(node.value))
+        GroupOps.PLUS_OPERATION -> visit(node.value)
+        else -> super.visitUnary(node)
     }
 
     override fun visitBinary(mst: Binary): ExpressionRef = when (mst.operation) {
diff --git a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/wasm.kt b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/wasm.kt
index 806091715..12e6b41af 100644
--- a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/wasm.kt
+++ b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/wasm.kt
@@ -3,13 +3,12 @@
  * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
  */
 
+@file:Suppress("UNUSED_PARAMETER")
+
 package space.kscience.kmath.wasm
 
 import space.kscience.kmath.estree.compileWith
-import space.kscience.kmath.expressions.Expression
-import space.kscience.kmath.expressions.MST
-import space.kscience.kmath.expressions.Symbol
-import space.kscience.kmath.expressions.invoke
+import space.kscience.kmath.expressions.*
 import space.kscience.kmath.misc.UnstableKMathAPI
 import space.kscience.kmath.operations.DoubleField
 import space.kscience.kmath.operations.IntRing
@@ -22,7 +21,7 @@ import space.kscience.kmath.wasm.internal.IntWasmBuilder
  * @author Iaroslav Postovalov
  */
 @UnstableKMathAPI
-public fun MST.compileToExpression(algebra: IntRing): Expression<Int> = compileWith(algebra)
+public fun MST.compileToExpression(algebra: IntRing): IntExpression = IntWasmBuilder(this).instance
 
 
 /**
@@ -50,7 +49,7 @@ public fun MST.compile(algebra: IntRing, vararg arguments: Pair<Symbol, Int>): I
  * @author Iaroslav Postovalov
  */
 @UnstableKMathAPI
-public fun MST.compileToExpression(algebra: DoubleField): Expression<Double> = compileWith(algebra)
+public fun MST.compileToExpression(algebra: DoubleField): Expression<Double> = DoubleWasmBuilder(this).instance
 
 
 /**
diff --git a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/asm.kt b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/asm.kt
index c39345f3a..8e426622d 100644
--- a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/asm.kt
+++ b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/asm.kt
@@ -8,11 +8,8 @@
 package space.kscience.kmath.asm
 
 import space.kscience.kmath.asm.internal.*
-import space.kscience.kmath.expressions.Expression
-import space.kscience.kmath.expressions.MST
+import space.kscience.kmath.expressions.*
 import space.kscience.kmath.expressions.MST.*
-import space.kscience.kmath.expressions.Symbol
-import space.kscience.kmath.expressions.invoke
 import space.kscience.kmath.misc.UnstableKMathAPI
 import space.kscience.kmath.operations.*
 
@@ -48,7 +45,13 @@ internal fun <T : Any> MST.compileWith(type: Class<T>, algebra: Algebra<T>): Exp
                 loadVariable(node.identity)
         }
 
-        is Numeric -> loadNumberConstant(node.value)
+        is Numeric -> if (algebra is NumericAlgebra) {
+            if (Number::class.java.isAssignableFrom(type))
+                loadNumberConstant(algebra.number(node.value) as Number)
+            else
+                loadObjectConstant(algebra.number(node.value))
+        } else
+            error("Numeric nodes are not supported by $this")
 
         is Unary -> when {
             algebra is NumericAlgebra && node.value is Numeric -> loadObjectConstant(
@@ -121,13 +124,15 @@ public inline fun <reified T : Any> MST.compile(algebra: Algebra<T>, vararg argu
  *
  * @author Iaroslav Postovalov
  */
-public fun MST.compileToExpression(algebra: IntRing): Expression<Int> = IntAsmBuilder(this).instance
+@UnstableKMathAPI
+public fun MST.compileToExpression(algebra: IntRing): IntExpression = IntAsmBuilder(this).instance
 
 /**
  * Compile given MST to expression and evaluate it against [arguments].
  *
  * @author Iaroslav Postovalov
  */
+@UnstableKMathAPI
 public fun MST.compile(algebra: IntRing, arguments: Map<Symbol, Int>): Int =
     compileToExpression(algebra).invoke(arguments)
 
@@ -136,6 +141,7 @@ public fun MST.compile(algebra: IntRing, arguments: Map<Symbol, Int>): Int =
  *
  * @author Iaroslav Postovalov
  */
+@UnstableKMathAPI
 public fun MST.compile(algebra: IntRing, vararg arguments: Pair<Symbol, Int>): Int =
     compileToExpression(algebra)(*arguments)
 
@@ -145,7 +151,8 @@ public fun MST.compile(algebra: IntRing, vararg arguments: Pair<Symbol, Int>): I
  *
  * @author Iaroslav Postovalov
  */
-public fun MST.compileToExpression(algebra: LongRing): Expression<Long> = LongAsmBuilder(this).instance
+@UnstableKMathAPI
+public fun MST.compileToExpression(algebra: LongRing): LongExpression = LongAsmBuilder(this).instance
 
 
 /**
@@ -153,6 +160,7 @@ public fun MST.compileToExpression(algebra: LongRing): Expression<Long> = LongAs
  *
  * @author Iaroslav Postovalov
  */
+@UnstableKMathAPI
 public fun MST.compile(algebra: LongRing, arguments: Map<Symbol, Long>): Long =
     compileToExpression(algebra).invoke(arguments)
 
@@ -162,6 +170,7 @@ public fun MST.compile(algebra: LongRing, arguments: Map<Symbol, Long>): Long =
  *
  * @author Iaroslav Postovalov
  */
+@UnstableKMathAPI
 public fun MST.compile(algebra: LongRing, vararg arguments: Pair<Symbol, Long>): Long =
     compileToExpression(algebra)(*arguments)
 
@@ -171,13 +180,15 @@ public fun MST.compile(algebra: LongRing, vararg arguments: Pair<Symbol, Long>):
  *
  * @author Iaroslav Postovalov
  */
-public fun MST.compileToExpression(algebra: DoubleField): Expression<Double> = DoubleAsmBuilder(this).instance
+@UnstableKMathAPI
+public fun MST.compileToExpression(algebra: DoubleField): DoubleExpression = DoubleAsmBuilder(this).instance
 
 /**
  * Compile given MST to expression and evaluate it against [arguments].
  *
  * @author Iaroslav Postovalov
  */
+@UnstableKMathAPI
 public fun MST.compile(algebra: DoubleField, arguments: Map<Symbol, Double>): Double =
     compileToExpression(algebra).invoke(arguments)
 
@@ -186,5 +197,6 @@ public fun MST.compile(algebra: DoubleField, arguments: Map<Symbol, Double>): Do
  *
  * @author Iaroslav Postovalov
  */
+@UnstableKMathAPI
 public fun MST.compile(algebra: DoubleField, vararg arguments: Pair<Symbol, Double>): Double =
     compileToExpression(algebra).invoke(*arguments)
diff --git a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/AsmBuilder.kt b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/AsmBuilder.kt
index 7d3d513de..a85079fc8 100644
--- a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/AsmBuilder.kt
+++ b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/AsmBuilder.kt
@@ -6,6 +6,7 @@
 package space.kscience.kmath.asm.internal
 
 import org.objectweb.asm.Type
+import org.objectweb.asm.Type.getObjectType
 import space.kscience.kmath.expressions.Expression
 
 internal abstract class AsmBuilder {
@@ -22,31 +23,31 @@ internal abstract class AsmBuilder {
         /**
          * ASM type for [Expression].
          */
-        val EXPRESSION_TYPE: Type by lazy { Type.getObjectType("space/kscience/kmath/expressions/Expression") }
+        val EXPRESSION_TYPE: Type = getObjectType("space/kscience/kmath/expressions/Expression")
 
         /**
          * ASM type for [java.util.Map].
          */
-        val MAP_TYPE: Type by lazy { Type.getObjectType("java/util/Map") }
+        val MAP_TYPE: Type = getObjectType("java/util/Map")
 
         /**
          * ASM type for [java.lang.Object].
          */
-        val OBJECT_TYPE: Type by lazy { Type.getObjectType("java/lang/Object") }
+        val OBJECT_TYPE: Type = getObjectType("java/lang/Object")
 
         /**
          * ASM type for [java.lang.String].
          */
-        val STRING_TYPE: Type by lazy { Type.getObjectType("java/lang/String") }
+        val STRING_TYPE: Type = getObjectType("java/lang/String")
 
         /**
          * ASM type for MapIntrinsics.
          */
-        val MAP_INTRINSICS_TYPE: Type by lazy { Type.getObjectType("space/kscience/kmath/asm/internal/MapIntrinsics") }
+        val MAP_INTRINSICS_TYPE: Type = getObjectType("space/kscience/kmath/asm/internal/MapIntrinsics")
 
         /**
          * ASM Type for [space.kscience.kmath.expressions.Symbol].
          */
-        val SYMBOL_TYPE: Type by lazy { Type.getObjectType("space/kscience/kmath/expressions/Symbol") }
+        val SYMBOL_TYPE: Type = getObjectType("space/kscience/kmath/expressions/Symbol")
     }
 }
diff --git a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/ByteArrayClassLoader.kt b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/ByteArrayClassLoader.kt
deleted file mode 100644
index 10eee7c6b..000000000
--- a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/ByteArrayClassLoader.kt
+++ /dev/null
@@ -1,6 +0,0 @@
-/*
- * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
- */
-
-package space.kscience.kmath.asm.internal
diff --git a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/GenericAsmBuilder.kt b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/GenericAsmBuilder.kt
index 28f4a226f..5eb739956 100644
--- a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/GenericAsmBuilder.kt
+++ b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/GenericAsmBuilder.kt
@@ -78,7 +78,7 @@ internal class GenericAsmBuilder<T>(
             )
 
             visitMethod(
-                ACC_PUBLIC or ACC_FINAL,
+                ACC_PUBLIC,
                 "invoke",
                 getMethodDescriptor(tType, MAP_TYPE),
                 "(L${MAP_TYPE.internalName}<${SYMBOL_TYPE.descriptor}+${tType.descriptor}>;)${tType.descriptor}",
@@ -116,7 +116,7 @@ internal class GenericAsmBuilder<T>(
             }
 
             visitMethod(
-                ACC_PUBLIC or ACC_FINAL or ACC_BRIDGE or ACC_SYNTHETIC,
+                ACC_PUBLIC or ACC_BRIDGE or ACC_SYNTHETIC,
                 "invoke",
                 getMethodDescriptor(OBJECT_TYPE, MAP_TYPE),
                 null,
@@ -156,7 +156,7 @@ internal class GenericAsmBuilder<T>(
                 )
 
             visitMethod(
-                ACC_PUBLIC,
+                ACC_PUBLIC or ACC_SYNTHETIC,
                 "<init>",
                 getMethodDescriptor(VOID_TYPE, *OBJECT_ARRAY_TYPE.wrapToArrayIf { hasConstants }),
                 null,
@@ -176,7 +176,7 @@ internal class GenericAsmBuilder<T>(
                 }
 
                 label()
-                visitInsn(RETURN)
+                areturn(VOID_TYPE)
                 val l4 = label()
                 visitLocalVariable("this", classType.descriptor, null, l0, l4, 0)
 
@@ -209,10 +209,10 @@ internal class GenericAsmBuilder<T>(
      */
     fun loadObjectConstant(value: Any, type: Type = tType): Unit = invokeMethodVisitor.run {
         val idx = if (value in constants) constants.indexOf(value) else constants.also { it += value }.lastIndex
-        invokeMethodVisitor.load(0, classType)
+        load(0, classType)
         getfield(classType.internalName, "constants", OBJECT_ARRAY_TYPE.descriptor)
         iconst(idx)
-        visitInsn(AALOAD)
+        aload(OBJECT_TYPE)
         if (type != OBJECT_TYPE) checkcast(type)
     }
 
@@ -320,6 +320,6 @@ internal class GenericAsmBuilder<T>(
         /**
          * ASM type for array of [java.lang.Object].
          */
-        val OBJECT_ARRAY_TYPE: Type by lazy { getType("[Ljava/lang/Object;") }
+        val OBJECT_ARRAY_TYPE: Type = getType("[Ljava/lang/Object;")
     }
 }
diff --git a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/PrimitiveAsmBuilder.kt b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/PrimitiveAsmBuilder.kt
index 3e019589a..bf1f42395 100644
--- a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/PrimitiveAsmBuilder.kt
+++ b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/PrimitiveAsmBuilder.kt
@@ -6,38 +6,49 @@
 package space.kscience.kmath.asm.internal
 
 import org.objectweb.asm.ClassWriter
-import org.objectweb.asm.Opcodes
+import org.objectweb.asm.FieldVisitor
+import org.objectweb.asm.Opcodes.*
 import org.objectweb.asm.Type
 import org.objectweb.asm.Type.*
 import org.objectweb.asm.commons.InstructionAdapter
-import space.kscience.kmath.expressions.Expression
-import space.kscience.kmath.expressions.MST
-import space.kscience.kmath.expressions.Symbol
-import space.kscience.kmath.expressions.invoke
+import space.kscience.kmath.expressions.*
+import space.kscience.kmath.misc.UnstableKMathAPI
 import space.kscience.kmath.operations.*
 import java.lang.invoke.MethodHandles
 import java.lang.invoke.MethodType
 import java.nio.file.Paths
 import kotlin.io.path.writeBytes
 
-internal sealed class PrimitiveAsmBuilder<T : Number>(
-    protected val algebra: Algebra<T>,
+@UnstableKMathAPI
+internal sealed class PrimitiveAsmBuilder<T : Number, out E : Expression<T>>(
+    protected val algebra: NumericAlgebra<T>,
     classOfT: Class<*>,
     protected val classOfTPrimitive: Class<*>,
+    expressionParent: Class<E>,
     protected val target: MST,
 ) : AsmBuilder() {
     private val className: String = buildName(target)
 
     /**
-     * ASM type for [T].
+     * ASM type for [tType].
      */
     private val tType: Type = classOfT.asm
 
     /**
-     * ASM type for [T].
+     * ASM type for [classOfTPrimitive].
      */
     protected val tTypePrimitive: Type = classOfTPrimitive.asm
 
+    /**
+     * ASM type for array of [classOfTPrimitive].
+     */
+    protected val tTypePrimitiveArray: Type = getType("[" + classOfTPrimitive.asm.descriptor)
+
+    /**
+     * ASM type for expression parent.
+     */
+    private val expressionParentType = expressionParent.asm
+
     /**
      * ASM type for new class.
      */
@@ -49,58 +60,91 @@ internal sealed class PrimitiveAsmBuilder<T : Number>(
     protected lateinit var invokeMethodVisitor: InstructionAdapter
 
     /**
-     * Local variables indices are indices of symbols in this list.
+     * Indexer for arguments in [target].
      */
-    private val argumentsLocals = mutableListOf<String>()
+    private val argumentsIndexer = mutableListOf<Symbol>()
 
     /**
      * Subclasses, loads and instantiates [Expression] for given parameters.
      *
      * The built instance is cached.
      */
-    @Suppress("UNCHECKED_CAST", "UNUSED_VARIABLE")
-    val instance: Expression<T> by lazy {
+    @Suppress("UNCHECKED_CAST")
+    val instance: E by lazy {
         val classWriter = ClassWriter(ClassWriter.COMPUTE_FRAMES) {
             visit(
-                Opcodes.V1_8,
-                Opcodes.ACC_PUBLIC or Opcodes.ACC_FINAL or Opcodes.ACC_SUPER,
+                V1_8,
+                ACC_PUBLIC or ACC_FINAL or ACC_SUPER,
                 classType.internalName,
-                "${OBJECT_TYPE.descriptor}L${EXPRESSION_TYPE.internalName}<${tType.descriptor}>;",
+                "${OBJECT_TYPE.descriptor}${expressionParentType.descriptor}",
                 OBJECT_TYPE.internalName,
-                arrayOf(EXPRESSION_TYPE.internalName),
+                arrayOf(expressionParentType.internalName),
             )
 
+            visitField(
+                access = ACC_PRIVATE or ACC_FINAL,
+                name = "indexer",
+                descriptor = SYMBOL_INDEXER_TYPE.descriptor,
+                signature = null,
+                value = null,
+                block = FieldVisitor::visitEnd,
+            )
             visitMethod(
-                Opcodes.ACC_PUBLIC or Opcodes.ACC_FINAL,
-                "invoke",
-                getMethodDescriptor(tType, MAP_TYPE),
-                "(L${MAP_TYPE.internalName}<${SYMBOL_TYPE.descriptor}+${tType.descriptor}>;)${tType.descriptor}",
+                ACC_PUBLIC,
+                "getIndexer",
+                getMethodDescriptor(SYMBOL_INDEXER_TYPE),
+                null,
                 null,
             ).instructionAdapter {
-                invokeMethodVisitor = this
                 visitCode()
-                val preparingVariables = label()
-                visitVariables(target)
-                val expressionResult = label()
-                visitExpression(target)
-                box()
-                areturn(tType)
+                val start = label()
+                load(0, classType)
+                getfield(classType.internalName, "indexer", SYMBOL_INDEXER_TYPE.descriptor)
+                areturn(SYMBOL_INDEXER_TYPE)
                 val end = label()
 
                 visitLocalVariable(
                     "this",
                     classType.descriptor,
                     null,
-                    preparingVariables,
+                    start,
+                    end,
+                    0,
+                )
+
+                visitMaxs(0, 0)
+                visitEnd()
+            }
+
+            visitMethod(
+                ACC_PUBLIC,
+                "invoke",
+                getMethodDescriptor(tTypePrimitive, tTypePrimitiveArray),
+                null,
+                null,
+            ).instructionAdapter {
+                invokeMethodVisitor = this
+                visitCode()
+                val start = label()
+                visitVariables(target, arrayMode = true)
+                visitExpression(target)
+                areturn(tTypePrimitive)
+                val end = label()
+
+                visitLocalVariable(
+                    "this",
+                    classType.descriptor,
+                    null,
+                    start,
                     end,
                     0,
                 )
 
                 visitLocalVariable(
                     "arguments",
-                    MAP_TYPE.descriptor,
-                    "L${MAP_TYPE.internalName}<${SYMBOL_TYPE.descriptor}+${tType.descriptor}>;",
-                    preparingVariables,
+                    tTypePrimitiveArray.descriptor,
+                    null,
+                    start,
                     end,
                     1,
                 )
@@ -110,7 +154,45 @@ internal sealed class PrimitiveAsmBuilder<T : Number>(
             }
 
             visitMethod(
-                Opcodes.ACC_PUBLIC or Opcodes.ACC_FINAL or Opcodes.ACC_BRIDGE or Opcodes.ACC_SYNTHETIC,
+                ACC_PUBLIC or ACC_FINAL,
+                "invoke",
+                getMethodDescriptor(tType, MAP_TYPE),
+                "(L${MAP_TYPE.internalName}<${SYMBOL_TYPE.descriptor}+${tType.descriptor}>;)${tType.descriptor}",
+                null,
+            ).instructionAdapter {
+                invokeMethodVisitor = this
+                visitCode()
+                val start = label()
+                visitVariables(target, arrayMode = false)
+                visitExpression(target)
+                box()
+                areturn(tType)
+                val end = label()
+
+                visitLocalVariable(
+                    "this",
+                    classType.descriptor,
+                    null,
+                    start,
+                    end,
+                    0,
+                )
+
+                visitLocalVariable(
+                    "arguments",
+                    MAP_TYPE.descriptor,
+                    "L${MAP_TYPE.internalName}<${SYMBOL_TYPE.descriptor}+${tType.descriptor}>;",
+                    start,
+                    end,
+                    1,
+                )
+
+                visitMaxs(0, 0)
+                visitEnd()
+            }
+
+            visitMethod(
+                ACC_PUBLIC or ACC_FINAL or ACC_BRIDGE or ACC_SYNTHETIC,
                 "invoke",
                 getMethodDescriptor(OBJECT_TYPE, MAP_TYPE),
                 null,
@@ -138,21 +220,22 @@ internal sealed class PrimitiveAsmBuilder<T : Number>(
             }
 
             visitMethod(
-                Opcodes.ACC_PUBLIC,
+                ACC_PUBLIC or ACC_SYNTHETIC,
                 "<init>",
-                getMethodDescriptor(VOID_TYPE),
+                getMethodDescriptor(VOID_TYPE, SYMBOL_INDEXER_TYPE),
                 null,
                 null,
             ).instructionAdapter {
                 val start = label()
                 load(0, classType)
                 invokespecial(OBJECT_TYPE.internalName, "<init>", getMethodDescriptor(VOID_TYPE), false)
-                label()
                 load(0, classType)
-                label()
-                visitInsn(Opcodes.RETURN)
+                load(1, SYMBOL_INDEXER_TYPE)
+                putfield(classType.internalName, "indexer", SYMBOL_INDEXER_TYPE.descriptor)
+                areturn(VOID_TYPE)
                 val end = label()
                 visitLocalVariable("this", classType.descriptor, null, start, end, 0)
+                visitLocalVariable("indexer", SYMBOL_INDEXER_TYPE.descriptor, null, start, end, 1)
                 visitMaxs(0, 0)
                 visitEnd()
             }
@@ -166,14 +249,16 @@ internal sealed class PrimitiveAsmBuilder<T : Number>(
         if (System.getProperty("space.kscience.kmath.ast.dump.generated.classes") == "1")
             Paths.get("${className.split('.').last()}.class").writeBytes(binary)
 
-        MethodHandles.publicLookup().findConstructor(cls, MethodType.methodType(Void.TYPE))() as Expression<T>
+        MethodHandles
+            .publicLookup()
+            .findConstructor(cls, MethodType.methodType(Void.TYPE, SymbolIndexer::class.java))
+            .invoke(SimpleSymbolIndexer(argumentsIndexer)) as E
     }
 
     /**
-     * Either loads a numeric constant [value] from the class's constants field or boxes a primitive
-     * constant from the constant pool.
+     * Loads a numeric constant [value] from the class's constants.
      */
-    fun loadNumberConstant(value: Number) {
+    protected fun loadNumberConstant(value: Number) {
         when (tTypePrimitive) {
             BYTE_TYPE -> invokeMethodVisitor.iconst(value.toInt())
             DOUBLE_TYPE -> invokeMethodVisitor.dconst(value.toDouble())
@@ -185,38 +270,50 @@ internal sealed class PrimitiveAsmBuilder<T : Number>(
     }
 
     /**
-     * Stores value variable [name] into a local. Should be called within [variablesPrepareCallback] before using
-     * [loadVariable].
+     * Stores value variable [name] into a local. Should be called before using [loadVariable]. Should be called only
+     * once for a variable.
      */
-    fun prepareVariable(name: String): Unit = invokeMethodVisitor.run {
-        if (name in argumentsLocals) return@run
-        load(1, MAP_TYPE)
-        aconst(name)
+    protected fun prepareVariable(name: Symbol, arrayMode: Boolean): Unit = invokeMethodVisitor.run {
+        var argumentIndex = argumentsIndexer.indexOf(name)
 
-        invokestatic(
-            MAP_INTRINSICS_TYPE.internalName,
-            "getOrFail",
-            getMethodDescriptor(OBJECT_TYPE, MAP_TYPE, STRING_TYPE),
-            false,
-        )
-
-        checkcast(tType)
-        var idx = argumentsLocals.indexOf(name)
-
-        if (idx == -1) {
-            argumentsLocals += name
-            idx = argumentsLocals.lastIndex
+        if (argumentIndex == -1) {
+            argumentsIndexer += name
+            argumentIndex = argumentsIndexer.lastIndex
         }
 
-        unbox()
-        store(2 + idx, tTypePrimitive)
+        val localIndex = 2 + argumentIndex * tTypePrimitive.size
+
+        if (arrayMode) {
+            load(1, tTypePrimitiveArray)
+            iconst(argumentIndex)
+            aload(tTypePrimitive)
+            store(localIndex, tTypePrimitive)
+        } else {
+            load(1, MAP_TYPE)
+            aconst(name.identity)
+
+            invokestatic(
+                MAP_INTRINSICS_TYPE.internalName,
+                "getOrFail",
+                getMethodDescriptor(OBJECT_TYPE, MAP_TYPE, STRING_TYPE),
+                false,
+            )
+
+            checkcast(tType)
+            unbox()
+            store(localIndex, tTypePrimitive)
+        }
     }
 
     /**
      * Loads a variable [name] from arguments [Map] parameter of [Expression.invoke]. The variable should be stored
      * with [prepareVariable] first.
      */
-    fun loadVariable(name: String): Unit = invokeMethodVisitor.load(2 + argumentsLocals.indexOf(name), tTypePrimitive)
+    protected fun loadVariable(name: Symbol) {
+        val argumentIndex = argumentsIndexer.indexOf(name)
+        val localIndex = 2 + argumentIndex * tTypePrimitive.size
+        invokeMethodVisitor.load(localIndex, tTypePrimitive)
+    }
 
     private fun unbox() = invokeMethodVisitor.run {
         invokevirtual(
@@ -231,102 +328,117 @@ internal sealed class PrimitiveAsmBuilder<T : Number>(
         invokestatic(tType.internalName, "valueOf", getMethodDescriptor(tType, tTypePrimitive), false)
     }
 
-    protected fun visitVariables(node: MST): Unit = when (node) {
-        is Symbol -> prepareVariable(node.identity)
-        is MST.Unary -> visitVariables(node.value)
+    private fun visitVariables(
+        node: MST,
+        arrayMode: Boolean,
+        alreadyLoaded: MutableList<Symbol> = mutableListOf()
+    ): Unit = when (node) {
+        is Symbol -> when (node) {
+            !in alreadyLoaded -> {
+                alreadyLoaded += node
+                prepareVariable(node, arrayMode)
+            }
+            else -> {
+            }
+        }
+
+        is MST.Unary -> visitVariables(node.value, arrayMode, alreadyLoaded)
 
         is MST.Binary -> {
-            visitVariables(node.left)
-            visitVariables(node.right)
+            visitVariables(node.left, arrayMode, alreadyLoaded)
+            visitVariables(node.right, arrayMode, alreadyLoaded)
         }
 
         else -> Unit
     }
 
-    protected fun visitExpression(mst: MST): Unit = when (mst) {
-        is Symbol -> loadVariable(mst.identity)
-        is MST.Numeric -> loadNumberConstant(mst.value)
+    private fun visitExpression(node: MST): Unit = when (node) {
+        is Symbol -> {
+            val symbol = algebra.bindSymbolOrNull(node)
 
-        is MST.Unary -> when {
-            algebra is NumericAlgebra && mst.value is MST.Numeric -> {
-                loadNumberConstant(
-                    MST.Numeric(
-                        algebra.unaryOperationFunction(mst.operation)(algebra.number((mst.value as MST.Numeric).value)),
-                    ).value,
-                )
-            }
-
-            else -> visitUnary(mst)
+            if (symbol != null)
+                loadNumberConstant(symbol)
+            else
+                loadVariable(node)
         }
 
+        is MST.Numeric -> loadNumberConstant(algebra.number(node.value))
+
+        is MST.Unary -> if (node.value is MST.Numeric)
+            loadNumberConstant(
+                algebra.unaryOperationFunction(node.operation)(algebra.number((node.value as MST.Numeric).value)),
+            )
+        else
+            visitUnary(node)
+
         is MST.Binary -> when {
-            algebra is NumericAlgebra && mst.left is MST.Numeric && mst.right is MST.Numeric -> {
-                loadNumberConstant(
-                    MST.Numeric(
-                        algebra.binaryOperationFunction(mst.operation)(
-                            algebra.number((mst.left as MST.Numeric).value),
-                            algebra.number((mst.right as MST.Numeric).value),
-                        ),
-                    ).value,
-                )
-            }
+            node.left is MST.Numeric && node.right is MST.Numeric -> loadNumberConstant(
+                algebra.binaryOperationFunction(node.operation)(
+                    algebra.number((node.left as MST.Numeric).value),
+                    algebra.number((node.right as MST.Numeric).value),
+                ),
+            )
 
-            else -> visitBinary(mst)
+            else -> visitBinary(node)
         }
     }
 
-    protected open fun visitUnary(mst: MST.Unary) {
-        visitExpression(mst.value)
-    }
+    protected open fun visitUnary(node: MST.Unary) = visitExpression(node.value)
 
-    protected open fun visitBinary(mst: MST.Binary) {
-        visitExpression(mst.left)
-        visitExpression(mst.right)
+    protected open fun visitBinary(node: MST.Binary) {
+        visitExpression(node.left)
+        visitExpression(node.right)
     }
 
     protected companion object {
         /**
          * ASM type for [java.lang.Number].
          */
-        val NUMBER_TYPE: Type by lazy { getObjectType("java/lang/Number") }
+        val NUMBER_TYPE: Type = getObjectType("java/lang/Number")
+
+        /**
+         * ASM type for [SymbolIndexer].
+         */
+        val SYMBOL_INDEXER_TYPE: Type = getObjectType("space/kscience/kmath/expressions/SymbolIndexer")
     }
 }
 
-internal class DoubleAsmBuilder(target: MST) :
-    PrimitiveAsmBuilder<Double>(DoubleField, java.lang.Double::class.java, java.lang.Double.TYPE, target) {
+@UnstableKMathAPI
+internal class DoubleAsmBuilder(target: MST) : PrimitiveAsmBuilder<Double, DoubleExpression>(
+    DoubleField,
+    java.lang.Double::class.java,
+    java.lang.Double.TYPE,
+    DoubleExpression::class.java,
+    target,
+) {
 
-    private fun buildUnaryJavaMathCall(name: String) {
-        invokeMethodVisitor.invokestatic(
-            MATH_TYPE.internalName,
-            name,
-            getMethodDescriptor(tTypePrimitive, tTypePrimitive),
-            false,
-        )
-    }
+    private fun buildUnaryJavaMathCall(name: String) = invokeMethodVisitor.invokestatic(
+        MATH_TYPE.internalName,
+        name,
+        getMethodDescriptor(tTypePrimitive, tTypePrimitive),
+        false,
+    )
 
-    private fun buildBinaryJavaMathCall(name: String) {
-        invokeMethodVisitor.invokestatic(
-            MATH_TYPE.internalName,
-            name,
-            getMethodDescriptor(tTypePrimitive, tTypePrimitive, tTypePrimitive),
-            false,
-        )
-    }
+    @Suppress("SameParameterValue")
+    private fun buildBinaryJavaMathCall(name: String) = invokeMethodVisitor.invokestatic(
+        MATH_TYPE.internalName,
+        name,
+        getMethodDescriptor(tTypePrimitive, tTypePrimitive, tTypePrimitive),
+        false,
+    )
 
-    private fun buildUnaryKotlinMathCall(name: String) {
-        invokeMethodVisitor.invokestatic(
-            MATH_KT_TYPE.internalName,
-            name,
-            getMethodDescriptor(tTypePrimitive, tTypePrimitive),
-            false,
-        )
-    }
+    private fun buildUnaryKotlinMathCall(name: String) = invokeMethodVisitor.invokestatic(
+        MATH_KT_TYPE.internalName,
+        name,
+        getMethodDescriptor(tTypePrimitive, tTypePrimitive),
+        false,
+    )
 
-    override fun visitUnary(mst: MST.Unary) {
-        super.visitUnary(mst)
+    override fun visitUnary(node: MST.Unary) {
+        super.visitUnary(node)
 
-        when (mst.operation) {
-            GroupOps.MINUS_OPERATION -> invokeMethodVisitor.visitInsn(Opcodes.DNEG)
+        when (node.operation) {
+            GroupOps.MINUS_OPERATION -> invokeMethodVisitor.visitInsn(DNEG)
             GroupOps.PLUS_OPERATION -> Unit
             PowerOperations.SQRT_OPERATION -> buildUnaryJavaMathCall("sqrt")
             TrigonometricOperations.SIN_OPERATION -> buildUnaryJavaMathCall("sin")
@@ -343,74 +455,86 @@ internal class DoubleAsmBuilder(target: MST) :
             ExponentialOperations.ATANH_OPERATION -> buildUnaryKotlinMathCall("atanh")
             ExponentialOperations.EXP_OPERATION -> buildUnaryJavaMathCall("exp")
             ExponentialOperations.LN_OPERATION -> buildUnaryJavaMathCall("log")
-            else -> super.visitUnary(mst)
+            else -> super.visitUnary(node)
         }
     }
 
-    override fun visitBinary(mst: MST.Binary) {
-        super.visitBinary(mst)
+    override fun visitBinary(node: MST.Binary) {
+        super.visitBinary(node)
 
-        when (mst.operation) {
-            GroupOps.PLUS_OPERATION -> invokeMethodVisitor.visitInsn(Opcodes.DADD)
-            GroupOps.MINUS_OPERATION -> invokeMethodVisitor.visitInsn(Opcodes.DSUB)
-            RingOps.TIMES_OPERATION -> invokeMethodVisitor.visitInsn(Opcodes.DMUL)
-            FieldOps.DIV_OPERATION -> invokeMethodVisitor.visitInsn(Opcodes.DDIV)
+        when (node.operation) {
+            GroupOps.PLUS_OPERATION -> invokeMethodVisitor.visitInsn(DADD)
+            GroupOps.MINUS_OPERATION -> invokeMethodVisitor.visitInsn(DSUB)
+            RingOps.TIMES_OPERATION -> invokeMethodVisitor.visitInsn(DMUL)
+            FieldOps.DIV_OPERATION -> invokeMethodVisitor.visitInsn(DDIV)
             PowerOperations.POW_OPERATION -> buildBinaryJavaMathCall("pow")
-            else -> super.visitBinary(mst)
+            else -> super.visitBinary(node)
         }
     }
 
-    companion object {
-        val MATH_TYPE: Type by lazy { getObjectType("java/lang/Math") }
-        val MATH_KT_TYPE: Type by lazy { getObjectType("kotlin/math/MathKt") }
+    private companion object {
+        val MATH_TYPE: Type = getObjectType("java/lang/Math")
+        val MATH_KT_TYPE: Type = getObjectType("kotlin/math/MathKt")
     }
 }
 
+@UnstableKMathAPI
 internal class IntAsmBuilder(target: MST) :
-    PrimitiveAsmBuilder<Int>(IntRing, Integer::class.java, Integer.TYPE, target) {
-    override fun visitUnary(mst: MST.Unary) {
-        super.visitUnary(mst)
+    PrimitiveAsmBuilder<Int, IntExpression>(
+        IntRing,
+        Integer::class.java,
+        Integer.TYPE,
+        IntExpression::class.java,
+        target
+    ) {
+    override fun visitUnary(node: MST.Unary) {
+        super.visitUnary(node)
 
-        when (mst.operation) {
-            GroupOps.MINUS_OPERATION -> invokeMethodVisitor.visitInsn(Opcodes.INEG)
+        when (node.operation) {
+            GroupOps.MINUS_OPERATION -> invokeMethodVisitor.visitInsn(INEG)
             GroupOps.PLUS_OPERATION -> Unit
-            else -> super.visitUnary(mst)
+            else -> super.visitUnary(node)
         }
     }
 
-    override fun visitBinary(mst: MST.Binary) {
-        super.visitBinary(mst)
+    override fun visitBinary(node: MST.Binary) {
+        super.visitBinary(node)
 
-        when (mst.operation) {
-            GroupOps.PLUS_OPERATION -> invokeMethodVisitor.visitInsn(Opcodes.IADD)
-            GroupOps.MINUS_OPERATION -> invokeMethodVisitor.visitInsn(Opcodes.ISUB)
-            RingOps.TIMES_OPERATION -> invokeMethodVisitor.visitInsn(Opcodes.IMUL)
-            else -> super.visitBinary(mst)
+        when (node.operation) {
+            GroupOps.PLUS_OPERATION -> invokeMethodVisitor.visitInsn(IADD)
+            GroupOps.MINUS_OPERATION -> invokeMethodVisitor.visitInsn(ISUB)
+            RingOps.TIMES_OPERATION -> invokeMethodVisitor.visitInsn(IMUL)
+            else -> super.visitBinary(node)
         }
     }
 }
 
-internal class LongAsmBuilder(target: MST) :
-    PrimitiveAsmBuilder<Long>(LongRing, java.lang.Long::class.java, java.lang.Long.TYPE, target) {
-    override fun visitUnary(mst: MST.Unary) {
-        super.visitUnary(mst)
+@UnstableKMathAPI
+internal class LongAsmBuilder(target: MST) : PrimitiveAsmBuilder<Long, LongExpression>(
+    LongRing,
+    java.lang.Long::class.java,
+    java.lang.Long.TYPE,
+    LongExpression::class.java,
+    target,
+) {
+    override fun visitUnary(node: MST.Unary) {
+        super.visitUnary(node)
 
-        when (mst.operation) {
-            GroupOps.MINUS_OPERATION -> invokeMethodVisitor.visitInsn(Opcodes.LNEG)
+        when (node.operation) {
+            GroupOps.MINUS_OPERATION -> invokeMethodVisitor.visitInsn(LNEG)
             GroupOps.PLUS_OPERATION -> Unit
-            else -> super.visitUnary(mst)
+            else -> super.visitUnary(node)
         }
     }
 
-    override fun visitBinary(mst: MST.Binary) {
-        super.visitBinary(mst)
+    override fun visitBinary(node: MST.Binary) {
+        super.visitBinary(node)
 
-        when (mst.operation) {
-            GroupOps.PLUS_OPERATION -> invokeMethodVisitor.visitInsn(Opcodes.LADD)
-            GroupOps.MINUS_OPERATION -> invokeMethodVisitor.visitInsn(Opcodes.LSUB)
-            RingOps.TIMES_OPERATION -> invokeMethodVisitor.visitInsn(Opcodes.LMUL)
-            else -> super.visitBinary(mst)
+        when (node.operation) {
+            GroupOps.PLUS_OPERATION -> invokeMethodVisitor.visitInsn(LADD)
+            GroupOps.MINUS_OPERATION -> invokeMethodVisitor.visitInsn(LSUB)
+            RingOps.TIMES_OPERATION -> invokeMethodVisitor.visitInsn(LMUL)
+            else -> super.visitBinary(node)
         }
     }
 }
-
diff --git a/kmath-core/build.gradle.kts b/kmath-core/build.gradle.kts
index 490868a0b..4a35a54fb 100644
--- a/kmath-core/build.gradle.kts
+++ b/kmath-core/build.gradle.kts
@@ -8,7 +8,10 @@ plugins {
 kotlin.sourceSets {
     filter { it.name.contains("test", true) }
         .map(org.jetbrains.kotlin.gradle.plugin.KotlinSourceSet::languageSettings)
-        .forEach { it.optIn("space.kscience.kmath.misc.PerformancePitfall") }
+        .forEach {
+            it.optIn("space.kscience.kmath.misc.PerformancePitfall")
+            it.optIn("space.kscience.kmath.misc.UnstableKMathAPI")
+        }
 
     commonMain {
         dependencies {
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/Expression.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/Expression.kt
index 33f53202c..5ba32f190 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/Expression.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/Expression.kt
@@ -5,6 +5,7 @@
 
 package space.kscience.kmath.expressions
 
+import space.kscience.kmath.misc.UnstableKMathAPI
 import space.kscience.kmath.operations.Algebra
 import kotlin.jvm.JvmName
 import kotlin.properties.ReadOnlyProperty
@@ -24,6 +25,81 @@ public fun interface Expression<T> {
     public operator fun invoke(arguments: Map<Symbol, T>): T
 }
 
+/**
+ * Specialization of [Expression] for [Double] allowing better performance because of using array.
+ */
+@UnstableKMathAPI
+public interface DoubleExpression : Expression<Double> {
+    /**
+     * The indexer of this expression's arguments that should be used to build array for [invoke].
+     *
+     * Implementations must fulfil the following requirement: for any argument symbol `x` and its value `y`,
+     * `indexer.indexOf(x) == arguments.indexOf(y)` if `arguments` is the array passed to [invoke].
+     */
+    public val indexer: SymbolIndexer
+
+    public override operator fun invoke(arguments: Map<Symbol, Double>): Double =
+        this(DoubleArray(indexer.symbols.size) { arguments.getValue(indexer.symbols[it]) })
+
+    /**
+     * Calls this expression from arguments.
+     *
+     * @param arguments the array of arguments.
+     * @return the value.
+     */
+    public operator fun invoke(arguments: DoubleArray): Double
+}
+
+/**
+ * Specialization of [Expression] for [Int] allowing better performance because of using array.
+ */
+@UnstableKMathAPI
+public interface IntExpression : Expression<Int> {
+    /**
+     * The indexer of this expression's arguments that should be used to build array for [invoke].
+     *
+     * Implementations must fulfil the following requirement: for any argument symbol `x` and its value `y`,
+     * `indexer.indexOf(x) == arguments.indexOf(y)` if `arguments` is the array passed to [invoke].
+     */
+    public val indexer: SymbolIndexer
+
+    public override operator fun invoke(arguments: Map<Symbol, Int>): Int =
+        this(IntArray(indexer.symbols.size) { arguments.getValue(indexer.symbols[it]) })
+
+    /**
+     * Calls this expression from arguments.
+     *
+     * @param arguments the array of arguments.
+     * @return the value.
+     */
+    public operator fun invoke(arguments: IntArray): Int
+}
+
+/**
+ * Specialization of [Expression] for [Long] allowing better performance because of using array.
+ */
+@UnstableKMathAPI
+public interface LongExpression : Expression<Long> {
+    /**
+     * The indexer of this expression's arguments that should be used to build array for [invoke].
+     *
+     * Implementations must fulfil the following requirement: for any argument symbol `x` and its value `y`,
+     * `indexer.indexOf(x) == arguments.indexOf(y)` if `arguments` is the array passed to [invoke].
+     */
+    public val indexer: SymbolIndexer
+
+    public override operator fun invoke(arguments: Map<Symbol, Long>): Long =
+        this(LongArray(indexer.symbols.size) { arguments.getValue(indexer.symbols[it]) })
+
+    /**
+     * Calls this expression from arguments.
+     *
+     * @param arguments the array of arguments.
+     * @return the value.
+     */
+    public operator fun invoke(arguments: LongArray): Long
+}
+
 /**
  * Calls this expression without providing any arguments.
  *
@@ -69,6 +145,62 @@ public operator fun <T> Expression<T>.invoke(vararg pairs: Pair<String, T>): T =
     }
 )
 
+private val EMPTY_DOUBLE_ARRAY = DoubleArray(0)
+
+/**
+ * Calls this expression without providing any arguments.
+ *
+ * @return a value.
+ */
+@UnstableKMathAPI
+public operator fun DoubleExpression.invoke(): Double = this(EMPTY_DOUBLE_ARRAY)
+
+/**
+ * Calls this expression from arguments.
+ *
+ * @param pairs the pairs of arguments to values.
+ * @return a value.
+ */
+@UnstableKMathAPI
+public operator fun DoubleExpression.invoke(vararg arguments: Double): Double = this(arguments)
+
+private val EMPTY_INT_ARRAY = IntArray(0)
+
+/**
+ * Calls this expression without providing any arguments.
+ *
+ * @return a value.
+ */
+@UnstableKMathAPI
+public operator fun IntExpression.invoke(): Int = this(EMPTY_INT_ARRAY)
+
+/**
+ * Calls this expression from arguments.
+ *
+ * @param pairs the pairs of arguments to values.
+ * @return a value.
+ */
+@UnstableKMathAPI
+public operator fun IntExpression.invoke(vararg arguments: Int): Int = this(arguments)
+
+private val EMPTY_LONG_ARRAY = LongArray(0)
+
+/**
+ * Calls this expression without providing any arguments.
+ *
+ * @return a value.
+ */
+@UnstableKMathAPI
+public operator fun LongExpression.invoke(): Long = this(EMPTY_LONG_ARRAY)
+
+/**
+ * Calls this expression from arguments.
+ *
+ * @param pairs the pairs of arguments to values.
+ * @return a value.
+ */
+@UnstableKMathAPI
+public operator fun LongExpression.invoke(vararg arguments: Long): Long = this(arguments)
 
 /**
  * A context for expression construction
diff --git a/kmath-kotlingrad/build.gradle.kts b/kmath-kotlingrad/build.gradle.kts
index d222ed7d6..da7380e41 100644
--- a/kmath-kotlingrad/build.gradle.kts
+++ b/kmath-kotlingrad/build.gradle.kts
@@ -3,6 +3,11 @@ plugins {
     id("ru.mipt.npm.gradle.common")
 }
 
+kotlin.sourceSets
+    .filter { it.name.contains("test", true) }
+    .map(org.jetbrains.kotlin.gradle.plugin.KotlinSourceSet::languageSettings)
+    .forEach { it.optIn("space.kscience.kmath.misc.UnstableKMathAPI") }
+
 description = "Kotlin∇ integration module"
 
 dependencies {
diff --git a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/internal/InternalGamma.kt b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/internal/InternalGamma.kt
index 6e7eb039d..63db1c56f 100644
--- a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/internal/InternalGamma.kt
+++ b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/internal/InternalGamma.kt
@@ -145,7 +145,7 @@ internal object InternalGamma {
             }
 
             when {
-                n >= maxIterations -> throw error("Maximal iterations is exceeded $maxIterations")
+                n >= maxIterations -> error("Maximal iterations is exceeded $maxIterations")
                 sum.isInfinite() -> 1.0
                 else -> exp(-x + a * ln(x) - logGamma(a)) * sum
             }

From cf5f886226a334897cd2ea04baee0861e4f08eca Mon Sep 17 00:00:00 2001
From: Iaroslav Postovalov <postovalovya@gmail.com>
Date: Mon, 29 Nov 2021 13:24:44 +0700
Subject: [PATCH 30/44] Rewrite the ArithmeticsEvaluator.number rule to handle
 well both floating-point numbers and integers

---
 .../kotlin/space/kscience/kmath/ast/parser.kt | 19 +++++++++++++++++--
 1 file changed, 17 insertions(+), 2 deletions(-)

diff --git a/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/parser.kt b/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/parser.kt
index 6ebd0eff6..012a6e65f 100644
--- a/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/parser.kt
+++ b/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/parser.kt
@@ -22,6 +22,7 @@ import space.kscience.kmath.operations.FieldOps
 import space.kscience.kmath.operations.GroupOps
 import space.kscience.kmath.operations.PowerOperations
 import space.kscience.kmath.operations.RingOps
+import kotlin.math.floor
 
 /**
  * better-parse implementation of grammar defined in the ArithmeticsEvaluator.g4.
@@ -40,9 +41,22 @@ public object ArithmeticsEvaluator : Grammar<MST>() {
     private val div: Token by literalToken("/")
     private val minus: Token by literalToken("-")
     private val plus: Token by literalToken("+")
+
+    @Suppress("unused")
     private val ws: Token by regexToken("\\s+".toRegex(), ignore = true)
 
-    private val number: Parser<MST> by num use { MST.Numeric(text.toDouble()) }
+    // TODO Rewrite as custom parser to handle numbers with better precision. Currently, numbers like 1e10 are handled while they could be stored as longs without precision loss.
+    private val number: Parser<MST> by num use {
+        val d = text.toDoubleOrNull()
+
+        MST.Numeric(
+            if (d == null || d == floor(d) && !d.isInfinite()) {
+                text.toLongOrNull() ?: text.toDouble()
+            } else
+                d
+        )
+    }
+
     private val singular: Parser<MST> by id use { Symbol(text) }
 
     private val unaryFunction: Parser<MST> by (id and -lpar and parser(ArithmeticsEvaluator::subSumChain) and -rpar)
@@ -91,7 +105,8 @@ public object ArithmeticsEvaluator : Grammar<MST>() {
 }
 
 /**
- * Tries to parse the string into [MST] using [ArithmeticsEvaluator]. Returns [ParseResult] representing expression or error.
+ * Tries to parse the string into [MST] using [ArithmeticsEvaluator]. Returns [ParseResult] representing expression or
+ * error.
  *
  * @receiver the string to parse.
  * @return the [MST] node.

From a9779fe38bfbda750384fb9cea456864d8468ccc Mon Sep 17 00:00:00 2001
From: Iaroslav Postovalov <postovalovya@gmail.com>
Date: Tue, 7 Dec 2021 12:00:31 +0700
Subject: [PATCH 31/44] Do numeric type conversion in JS MST compilers

---
 .../jsMain/kotlin/space/kscience/kmath/estree/estree.kt    | 7 +++++--
 .../space/kscience/kmath/wasm/internal/WasmBuilder.kt      | 4 ++--
 2 files changed, 7 insertions(+), 4 deletions(-)

diff --git a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/estree/estree.kt b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/estree/estree.kt
index 0c15e994c..a6b6e022b 100644
--- a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/estree/estree.kt
+++ b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/estree/estree.kt
@@ -28,11 +28,14 @@ internal fun <T> MST.compileWith(algebra: Algebra<T>): Expression<T> {
                 variable(node.identity)
         }
 
-        is Numeric -> constant(node.value)
+        is Numeric -> constant(
+            (algebra as? NumericAlgebra<T>)?.number(node.value) ?: error("Numeric nodes are not supported by $this")
+        )
 
         is Unary -> when {
             algebra is NumericAlgebra && node.value is Numeric -> constant(
-                algebra.unaryOperationFunction(node.operation)(algebra.number((node.value as Numeric).value)))
+                algebra.unaryOperationFunction(node.operation)(algebra.number((node.value as Numeric).value))
+            )
 
             else -> call(algebra.unaryOperationFunction(node.operation), visit(node.value))
         }
diff --git a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/internal/WasmBuilder.kt b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/internal/WasmBuilder.kt
index 2d6619bba..96090a633 100644
--- a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/internal/WasmBuilder.kt
+++ b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/internal/WasmBuilder.kt
@@ -114,7 +114,7 @@ internal class DoubleWasmBuilder(target: MST) : WasmBuilder<Double, DoubleExpres
 
     override fun createModule() = readBinary(f64StandardFunctions)
 
-    override fun visitNumeric(node: Numeric) = ctx.f64.const(node.value)
+    override fun visitNumeric(node: Numeric) = ctx.f64.const(node.value.toDouble())
 
     override fun visitUnary(node: Unary): ExpressionRef = when (node.operation) {
         GroupOps.MINUS_OPERATION -> ctx.f64.neg(visit(node.value))
@@ -157,7 +157,7 @@ internal class IntWasmBuilder(target: MST) : WasmBuilder<Int, IntExpression>(i32
         }
     }
 
-    override fun visitNumeric(node: Numeric) = ctx.i32.const(node.value)
+    override fun visitNumeric(node: Numeric) = ctx.i32.const(node.value.toInt())
 
     override fun visitUnary(node: Unary): ExpressionRef = when (node.operation) {
         GroupOps.MINUS_OPERATION -> ctx.i32.sub(ctx.i32.const(0), visit(node.value))

From e11df4fdd5597e352eb558ea1aaa5071461e931a Mon Sep 17 00:00:00 2001
From: Alexander Nozik <altavir@gmail.com>
Date: Sat, 18 Dec 2021 21:57:06 +0300
Subject: [PATCH 32/44] Add inline to histogram builders

---
 .../space/kscience/kmath/histogram/UnivariateHistogram.kt     | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/kmath-histograms/src/jvmMain/kotlin/space/kscience/kmath/histogram/UnivariateHistogram.kt b/kmath-histograms/src/jvmMain/kotlin/space/kscience/kmath/histogram/UnivariateHistogram.kt
index d5b74fb9b..91d0516c2 100644
--- a/kmath-histograms/src/jvmMain/kotlin/space/kscience/kmath/histogram/UnivariateHistogram.kt
+++ b/kmath-histograms/src/jvmMain/kotlin/space/kscience/kmath/histogram/UnivariateHistogram.kt
@@ -42,7 +42,7 @@ public interface UnivariateHistogram : Histogram<Double, UnivariateBin> {
         /**
          * Build and fill a [UnivariateHistogram]. Returns a read-only histogram.
          */
-        public fun uniform(
+        public inline fun uniform(
             binSize: Double,
             start: Double = 0.0,
             builder: UnivariateHistogramBuilder.() -> Unit,
@@ -51,7 +51,7 @@ public interface UnivariateHistogram : Histogram<Double, UnivariateBin> {
         /**
          * Build and fill a histogram with custom borders. Returns a read-only histogram.
          */
-        public fun custom(
+        public inline fun custom(
             borders: DoubleArray,
             builder: UnivariateHistogramBuilder.() -> Unit,
         ): UnivariateHistogram = TreeHistogramSpace.custom(borders).fill(builder)

From 6255a46004bc628598fc7c1fd2043d6ebc0a1129 Mon Sep 17 00:00:00 2001
From: breandan <bre@ndan.co>
Date: Sat, 25 Dec 2021 12:05:42 -0500
Subject: [PATCH 33/44] =?UTF-8?q?update=20Kotlin=E2=88=87=20and=20remove?=
 =?UTF-8?q?=20old=20maven=20repositories?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 benchmarks/build.gradle.kts                        |  6 ------
 build.gradle.kts                                   |  7 -------
 examples/build.gradle.kts                          |  5 -----
 kmath-kotlingrad/build.gradle.kts                  |  4 ++--
 .../space/kscience/kmath/kotlingrad/KMathNumber.kt |  2 +-
 .../kmath/kotlingrad/KotlingradExpression.kt       |  4 ++--
 .../kscience/kmath/kotlingrad/scalarsAdapters.kt   |  2 +-
 .../kscience/kmath/kotlingrad/AdaptingTests.kt     | 14 +++++++-------
 8 files changed, 13 insertions(+), 31 deletions(-)

diff --git a/benchmarks/build.gradle.kts b/benchmarks/build.gradle.kts
index cca3d312d..a6355e425 100644
--- a/benchmarks/build.gradle.kts
+++ b/benchmarks/build.gradle.kts
@@ -14,12 +14,6 @@ sourceSets.register("benchmarks")
 repositories {
     mavenCentral()
     maven("https://repo.kotlin.link")
-    maven("https://clojars.org/repo")
-    maven("https://jitpack.io")
-
-    maven("http://logicrunch.research.it.uu.se/maven") {
-        isAllowInsecureProtocol = true
-    }
 }
 
 kotlin {
diff --git a/build.gradle.kts b/build.gradle.kts
index c2347f7be..cc5a5f5c1 100644
--- a/build.gradle.kts
+++ b/build.gradle.kts
@@ -7,13 +7,6 @@ plugins {
 
 allprojects {
     repositories {
-        maven("https://clojars.org/repo")
-        maven("https://jitpack.io")
-
-        maven("http://logicrunch.research.it.uu.se/maven") {
-            isAllowInsecureProtocol = true
-        }
-
         maven("https://oss.sonatype.org/content/repositories/snapshots")
         mavenCentral()
     }
diff --git a/examples/build.gradle.kts b/examples/build.gradle.kts
index 7b1bce26a..e0e38bad0 100644
--- a/examples/build.gradle.kts
+++ b/examples/build.gradle.kts
@@ -5,12 +5,7 @@ plugins {
 repositories {
     mavenCentral()
     maven("https://repo.kotlin.link")
-    maven("https://clojars.org/repo")
-    maven("https://jitpack.io")
     maven("https://maven.pkg.jetbrains.space/kotlin/p/kotlin/kotlin-js-wrappers")
-    maven("http://logicrunch.research.it.uu.se/maven") {
-        isAllowInsecureProtocol = true
-    }
 }
 
 dependencies {
diff --git a/kmath-kotlingrad/build.gradle.kts b/kmath-kotlingrad/build.gradle.kts
index d222ed7d6..c10a6af54 100644
--- a/kmath-kotlingrad/build.gradle.kts
+++ b/kmath-kotlingrad/build.gradle.kts
@@ -6,8 +6,8 @@ plugins {
 description = "Kotlin∇ integration module"
 
 dependencies {
-    api("com.github.breandan:kaliningraph:0.1.6")
-    api("com.github.breandan:kotlingrad:0.4.5")
+    api("ai.hypergraph:kaliningraph:0.1.9")
+    api("ai.hypergraph:kotlingrad:0.4.7")
     api(project(":kmath-core"))
     testImplementation(project(":kmath-ast"))
 }
diff --git a/kmath-kotlingrad/src/main/kotlin/space/kscience/kmath/kotlingrad/KMathNumber.kt b/kmath-kotlingrad/src/main/kotlin/space/kscience/kmath/kotlingrad/KMathNumber.kt
index 0f10c6cdd..a61743a1b 100644
--- a/kmath-kotlingrad/src/main/kotlin/space/kscience/kmath/kotlingrad/KMathNumber.kt
+++ b/kmath-kotlingrad/src/main/kotlin/space/kscience/kmath/kotlingrad/KMathNumber.kt
@@ -5,7 +5,7 @@
 
 package space.kscience.kmath.kotlingrad
 
-import edu.umontreal.kotlingrad.api.SConst
+import ai.hypergraph.kotlingrad.api.SConst
 import space.kscience.kmath.operations.NumericAlgebra
 
 /**
diff --git a/kmath-kotlingrad/src/main/kotlin/space/kscience/kmath/kotlingrad/KotlingradExpression.kt b/kmath-kotlingrad/src/main/kotlin/space/kscience/kmath/kotlingrad/KotlingradExpression.kt
index 84171101f..9187f35ae 100644
--- a/kmath-kotlingrad/src/main/kotlin/space/kscience/kmath/kotlingrad/KotlingradExpression.kt
+++ b/kmath-kotlingrad/src/main/kotlin/space/kscience/kmath/kotlingrad/KotlingradExpression.kt
@@ -5,8 +5,8 @@
 
 package space.kscience.kmath.kotlingrad
 
-import edu.umontreal.kotlingrad.api.SFun
-import edu.umontreal.kotlingrad.api.SVar
+import ai.hypergraph.kotlingrad.api.SFun
+import ai.hypergraph.kotlingrad.api.SVar
 import space.kscience.kmath.expressions.*
 import space.kscience.kmath.operations.NumericAlgebra
 
diff --git a/kmath-kotlingrad/src/main/kotlin/space/kscience/kmath/kotlingrad/scalarsAdapters.kt b/kmath-kotlingrad/src/main/kotlin/space/kscience/kmath/kotlingrad/scalarsAdapters.kt
index 11e5853a8..a0622b6ff 100644
--- a/kmath-kotlingrad/src/main/kotlin/space/kscience/kmath/kotlingrad/scalarsAdapters.kt
+++ b/kmath-kotlingrad/src/main/kotlin/space/kscience/kmath/kotlingrad/scalarsAdapters.kt
@@ -5,7 +5,7 @@
 
 package space.kscience.kmath.kotlingrad
 
-import edu.umontreal.kotlingrad.api.*
+import ai.hypergraph.kotlingrad.api.*
 import space.kscience.kmath.expressions.MST
 import space.kscience.kmath.expressions.MstExtendedField
 import space.kscience.kmath.expressions.MstExtendedField.unaryMinus
diff --git a/kmath-kotlingrad/src/test/kotlin/space/kscience/kmath/kotlingrad/AdaptingTests.kt b/kmath-kotlingrad/src/test/kotlin/space/kscience/kmath/kotlingrad/AdaptingTests.kt
index 67332a680..2937b5e9c 100644
--- a/kmath-kotlingrad/src/test/kotlin/space/kscience/kmath/kotlingrad/AdaptingTests.kt
+++ b/kmath-kotlingrad/src/test/kotlin/space/kscience/kmath/kotlingrad/AdaptingTests.kt
@@ -5,7 +5,7 @@
 
 package space.kscience.kmath.kotlingrad
 
-import edu.umontreal.kotlingrad.api.*
+import ai.hypergraph.kotlingrad.api.*
 import space.kscience.kmath.asm.compileToExpression
 import space.kscience.kmath.ast.parseMath
 import space.kscience.kmath.expressions.MstNumericAlgebra
@@ -22,7 +22,7 @@ internal class AdaptingTests {
     fun symbol() {
         assertEquals(x.identity, x.toSVar<KMathNumber<Double, DoubleField>>().name)
         val c2 = "kitten".parseMath().toSFun<KMathNumber<Double, DoubleField>>()
-        if (c2 is SVar) assertTrue(c2.name == "kitten") else fail()
+        if (c2 is SVar<*>) assertTrue(c2.name == "kitten") else fail()
     }
 
     @Test
@@ -30,17 +30,17 @@ internal class AdaptingTests {
         val c1 = MstNumericAlgebra.number(12354324)
         assertTrue(c1.toSConst<DReal>().doubleValue == 12354324.0)
         val c2 = "0.234".parseMath().toSFun<KMathNumber<Double, DoubleField>>()
-        if (c2 is SConst) assertTrue(c2.doubleValue == 0.234) else fail()
+        if (c2 is SConst<*>) assertTrue(c2.doubleValue == 0.234) else fail()
         val c3 = "1e-3".parseMath().toSFun<KMathNumber<Double, DoubleField>>()
-        if (c3 is SConst) assertEquals(0.001, c3.value) else fail()
+        if (c3 is SConst<*>) assertEquals(0.001, c3.value) else fail()
     }
 
     @Test
     fun simpleFunctionShape() {
         val linear = "2*x+16".parseMath().toSFun<KMathNumber<Double, DoubleField>>()
-        if (linear !is Sum) fail()
-        if (linear.left !is Prod) fail()
-        if (linear.right !is SConst) fail()
+        if (linear !is Sum<*>) fail()
+        if (linear.left !is Prod<*>) fail()
+        if (linear.right !is SConst<*>) fail()
     }
 
     @Test

From 2f96d619fc0a19e222a21b8ef742a6b4e14c4176 Mon Sep 17 00:00:00 2001
From: Alexander Nozik <altavir@gmail.com>
Date: Wed, 29 Dec 2021 20:08:26 +0300
Subject: [PATCH 34/44] Fix AST JS test

---
 .../kotlin/space/kscience/kmath/ast/TestCompilerVariables.kt  | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestCompilerVariables.kt b/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestCompilerVariables.kt
index 859e56032..93ef97b0f 100644
--- a/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestCompilerVariables.kt
+++ b/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestCompilerVariables.kt
@@ -19,8 +19,8 @@ import kotlin.test.assertFailsWith
 internal class TestCompilerVariables {
     @Test
     fun testNoVariables() = runCompilerTest {
-        val expr = "0".parseMath().compileToExpression(IntRing)
-        assertEquals(0, expr())
+        val expr = "0".parseMath().compileToExpression(DoubleField)
+        assertEquals(0.0, expr(), 0.0001)
     }
 
     @Test

From 479d10616523af705219c899071810af4f921571 Mon Sep 17 00:00:00 2001
From: Alexander Nozik <altavir@gmail.com>
Date: Thu, 30 Dec 2021 18:50:47 +0300
Subject: [PATCH 35/44] install Kover plugin

---
 build.gradle.kts | 6 ++----
 1 file changed, 2 insertions(+), 4 deletions(-)

diff --git a/build.gradle.kts b/build.gradle.kts
index 36bc3a73f..1da8f5d64 100644
--- a/build.gradle.kts
+++ b/build.gradle.kts
@@ -1,8 +1,6 @@
-import java.net.URL
-
 plugins {
     id("ru.mipt.npm.gradle.project")
-    kotlin("jupyter.api") apply false
+    id("org.jetbrains.kotlinx.kover") version "0.5.0-RC"
 }
 
 allprojects {
@@ -32,7 +30,7 @@ subprojects {
                     localDirectory.set(kotlinDir)
 
                     remoteUrl.set(
-                        URL("https://github.com/mipt-npm/kmath/tree/master/${this@subprojects.name}/$kotlinDirPath")
+                        java.net.URL("https://github.com/mipt-npm/kmath/tree/master/${this@subprojects.name}/$kotlinDirPath")
                     )
                 }
 

From dd8a4796f6494dbe99ec180b722610dd7f309e2a Mon Sep 17 00:00:00 2001
From: Alexander Nozik <altavir@gmail.com>
Date: Tue, 4 Jan 2022 13:15:50 +0300
Subject: [PATCH 36/44] Update gradle plugin and build consistency

---
 build.gradle.kts                              |  2 +-
 buildSrc/build.gradle.kts                     | 20 ++++++++++++----
 buildSrc/gradle.properties                    | 14 +++++++++++
 buildSrc/settings.gradle.kts                  | 24 +++++++++++++++++++
 .../benchmarks/addBenchmarkProperties.kt      | 13 ++++++----
 .../kscience/kmath/stat/DistributionDemo.kt   |  6 ++---
 gradle.properties                             |  6 ++---
 gradle/wrapper/gradle-wrapper.properties      |  2 +-
 .../space/kscience/kmath/chains/Chain.kt      | 15 +++++++-----
 .../space/kscience/kmath/stat/Sampler.kt      |  9 ++++---
 .../kscience/kmath/viktor/ViktorFieldOpsND.kt |  2 +-
 settings.gradle.kts                           | 23 ++++++++++--------
 12 files changed, 97 insertions(+), 39 deletions(-)
 create mode 100644 buildSrc/gradle.properties
 create mode 100644 buildSrc/settings.gradle.kts

diff --git a/build.gradle.kts b/build.gradle.kts
index 1da8f5d64..b0797d397 100644
--- a/build.gradle.kts
+++ b/build.gradle.kts
@@ -55,7 +55,7 @@ subprojects {
 readme.readmeTemplate = file("docs/templates/README-TEMPLATE.md")
 
 ksciencePublish {
-    github("kmath", publish = false)
+    github("kmath")
     space()
     sonatype()
 }
diff --git a/buildSrc/build.gradle.kts b/buildSrc/build.gradle.kts
index 072309332..a7bf5c326 100644
--- a/buildSrc/build.gradle.kts
+++ b/buildSrc/build.gradle.kts
@@ -1,20 +1,30 @@
 plugins {
     `kotlin-dsl`
-    kotlin("plugin.serialization") version "1.5.21"
+    `version-catalog`
+    alias(npmlibs.plugins.kotlin.plugin.serialization)
 }
 
+java.targetCompatibility = JavaVersion.VERSION_11
+
 repositories {
     maven("https://repo.kotlin.link")
     mavenCentral()
     gradlePluginPortal()
 }
 
+val toolsVersion: String by extra
+val kotlinVersion = npmlibs.versions.kotlin.asProvider().get()
+val benchmarksVersion = npmlibs.versions.kotlinx.benchmark.get()
+
 dependencies {
-    api("org.jetbrains.kotlinx:kotlinx-serialization-json:1.2.2")
-    api("ru.mipt.npm:gradle-tools:0.10.7")
-    api("org.jetbrains.kotlinx:kotlinx-benchmark-plugin:0.3.1")
+    api("ru.mipt.npm:gradle-tools:$toolsVersion")
+    //plugins form benchmarks
+    api("org.jetbrains.kotlinx:kotlinx-benchmark-plugin:$benchmarksVersion")
+    api("org.jetbrains.kotlin:kotlin-allopen:$kotlinVersion")
+    //to be used inside build-script only
+    implementation(npmlibs.kotlinx.serialization.json)
 }
 
 kotlin.sourceSets.all {
-    languageSettings.useExperimentalAnnotation("kotlin.ExperimentalStdlibApi")
+    languageSettings.optIn("kotlin.OptIn")
 }
diff --git a/buildSrc/gradle.properties b/buildSrc/gradle.properties
new file mode 100644
index 000000000..6678f24a8
--- /dev/null
+++ b/buildSrc/gradle.properties
@@ -0,0 +1,14 @@
+#
+# Copyright 2018-2021 KMath contributors.
+# Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
+#
+
+kotlin.code.style=official
+kotlin.mpp.stability.nowarn=true
+
+kotlin.jupyter.add.scanner=false
+
+org.gradle.configureondemand=true
+org.gradle.parallel=true
+
+toolsVersion=0.10.9-kotlin-1.6.10
diff --git a/buildSrc/settings.gradle.kts b/buildSrc/settings.gradle.kts
new file mode 100644
index 000000000..87ff205f6
--- /dev/null
+++ b/buildSrc/settings.gradle.kts
@@ -0,0 +1,24 @@
+/*
+ * Copyright 2018-2021 KMath contributors.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
+ */
+
+
+enableFeaturePreview("TYPESAFE_PROJECT_ACCESSORS")
+enableFeaturePreview("VERSION_CATALOGS")
+
+dependencyResolutionManagement {
+
+    val toolsVersion: String by extra
+
+    repositories {
+        maven("https://repo.kotlin.link")
+        mavenCentral()
+    }
+
+    versionCatalogs {
+        create("npmlibs") {
+            from("ru.mipt.npm:version-catalog:$toolsVersion")
+        }
+    }
+}
diff --git a/buildSrc/src/main/kotlin/space/kscience/kmath/benchmarks/addBenchmarkProperties.kt b/buildSrc/src/main/kotlin/space/kscience/kmath/benchmarks/addBenchmarkProperties.kt
index ca1c330a1..dc9327348 100644
--- a/buildSrc/src/main/kotlin/space/kscience/kmath/benchmarks/addBenchmarkProperties.kt
+++ b/buildSrc/src/main/kotlin/space/kscience/kmath/benchmarks/addBenchmarkProperties.kt
@@ -6,12 +6,15 @@
 package space.kscience.kmath.benchmarks
 
 import kotlinx.benchmark.gradle.BenchmarksExtension
-import kotlinx.serialization.*
-import kotlinx.serialization.json.*
+import kotlinx.serialization.decodeFromString
+import kotlinx.serialization.json.Json
 import org.gradle.api.Project
 import ru.mipt.npm.gradle.KScienceReadmeExtension
-import java.time.*
-import java.time.format.*
+import java.time.LocalDateTime
+import java.time.ZoneId
+import java.time.format.DateTimeFormatter
+import java.time.format.DateTimeFormatterBuilder
+import java.time.format.SignStyle
 import java.time.temporal.ChronoField.*
 
 private val ISO_DATE_TIME: DateTimeFormatter = DateTimeFormatterBuilder().run {
@@ -47,7 +50,7 @@ fun Project.addBenchmarkProperties() {
     rootProject.subprojects.forEach { p ->
         p.extensions.findByType(KScienceReadmeExtension::class.java)?.run {
             benchmarksProject.extensions.findByType(BenchmarksExtension::class.java)?.configurations?.forEach { cfg ->
-                property("benchmark${cfg.name.replaceFirstChar(Char::uppercase)}") {
+                property("benchmark${cfg.name.capitalize()}") {
                     val launches = benchmarksProject.buildDir.resolve("reports/benchmarks/${cfg.name}")
 
                     val resDirectory = launches.listFiles()?.maxByOrNull {
diff --git a/examples/src/main/kotlin/space/kscience/kmath/stat/DistributionDemo.kt b/examples/src/main/kotlin/space/kscience/kmath/stat/DistributionDemo.kt
index bde83cea9..15654971f 100644
--- a/examples/src/main/kotlin/space/kscience/kmath/stat/DistributionDemo.kt
+++ b/examples/src/main/kotlin/space/kscience/kmath/stat/DistributionDemo.kt
@@ -7,7 +7,7 @@ package space.kscience.kmath.stat
 
 import kotlinx.coroutines.runBlocking
 import space.kscience.kmath.chains.Chain
-import space.kscience.kmath.chains.collectWithState
+import space.kscience.kmath.chains.combineWithState
 import space.kscience.kmath.distributions.NormalDistribution
 
 private data class AveragingChainState(var num: Int = 0, var value: Double = 0.0)
@@ -15,11 +15,11 @@ private data class AveragingChainState(var num: Int = 0, var value: Double = 0.0
 /**
  * Averaging.
  */
-private fun Chain<Double>.mean(): Chain<Double> = collectWithState(AveragingChainState(), { it.copy() }) { chain ->
+private fun Chain<Double>.mean(): Chain<Double> = combineWithState(AveragingChainState(), { it.copy() }) { chain ->
     val next = chain.next()
     num++
     value += next
-    return@collectWithState value / num
+    return@combineWithState value / num
 }
 
 
diff --git a/gradle.properties b/gradle.properties
index 959511c68..6678f24a8 100644
--- a/gradle.properties
+++ b/gradle.properties
@@ -6,11 +6,9 @@
 kotlin.code.style=official
 kotlin.mpp.stability.nowarn=true
 
-#kotlin.mpp.enableGranularSourceSetsMetadata=true
-#kotlin.native.enableDependencyPropagation=false
-
 kotlin.jupyter.add.scanner=false
 
 org.gradle.configureondemand=true
-org.gradle.jvmargs=-XX:MaxMetaspaceSize=2G
 org.gradle.parallel=true
+
+toolsVersion=0.10.9-kotlin-1.6.10
diff --git a/gradle/wrapper/gradle-wrapper.properties b/gradle/wrapper/gradle-wrapper.properties
index ffed3a254..2e6e5897b 100644
--- a/gradle/wrapper/gradle-wrapper.properties
+++ b/gradle/wrapper/gradle-wrapper.properties
@@ -1,5 +1,5 @@
 distributionBase=GRADLE_USER_HOME
 distributionPath=wrapper/dists
-distributionUrl=https\://services.gradle.org/distributions/gradle-7.2-bin.zip
+distributionUrl=https\://services.gradle.org/distributions/gradle-7.3.3-bin.zip
 zipStoreBase=GRADLE_USER_HOME
 zipStorePath=wrapper/dists
diff --git a/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/chains/Chain.kt b/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/chains/Chain.kt
index f8d2549e5..994255e38 100644
--- a/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/chains/Chain.kt
+++ b/kmath-coroutines/src/commonMain/kotlin/space/kscience/kmath/chains/Chain.kt
@@ -10,6 +10,7 @@ import kotlinx.coroutines.flow.FlowCollector
 import kotlinx.coroutines.flow.flow
 import kotlinx.coroutines.sync.Mutex
 import kotlinx.coroutines.sync.withLock
+import space.kscience.kmath.misc.UnstableKMathAPI
 
 /**
  * A not-necessary-Markov chain of some type
@@ -124,20 +125,22 @@ public fun <T> Chain<T>.filter(block: (T) -> Boolean): Chain<T> = object : Chain
 /**
  * Map the whole chain
  */
-public fun <T, R> Chain<T>.collect(mapper: suspend (Chain<T>) -> R): Chain<R> = object : Chain<R> {
-    override suspend fun next(): R = mapper(this@collect)
-    override suspend fun fork(): Chain<R> = this@collect.fork().collect(mapper)
+@UnstableKMathAPI
+public fun <T, R> Chain<T>.combine(mapper: suspend (Chain<T>) -> R): Chain<R> = object : Chain<R> {
+    override suspend fun next(): R = mapper(this@combine)
+    override suspend fun fork(): Chain<R> = this@combine.fork().combine(mapper)
 }
 
-public fun <T, S, R> Chain<T>.collectWithState(
+@UnstableKMathAPI
+public fun <T, S, R> Chain<T>.combineWithState(
     state: S,
     stateFork: (S) -> S,
     mapper: suspend S.(Chain<T>) -> R,
 ): Chain<R> = object : Chain<R> {
-    override suspend fun next(): R = state.mapper(this@collectWithState)
+    override suspend fun next(): R = state.mapper(this@combineWithState)
 
     override suspend fun fork(): Chain<R> =
-        this@collectWithState.fork().collectWithState(stateFork(state), stateFork, mapper)
+        this@combineWithState.fork().combineWithState(stateFork(state), stateFork, mapper)
 }
 
 /**
diff --git a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/Sampler.kt b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/Sampler.kt
index 4c11fdd65..0dd121f3b 100644
--- a/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/Sampler.kt
+++ b/kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/Sampler.kt
@@ -7,8 +7,11 @@ package space.kscience.kmath.stat
 
 import kotlinx.coroutines.flow.first
 import space.kscience.kmath.chains.Chain
-import space.kscience.kmath.chains.collect
-import space.kscience.kmath.structures.*
+import space.kscience.kmath.chains.combine
+import space.kscience.kmath.structures.Buffer
+import space.kscience.kmath.structures.BufferFactory
+import space.kscience.kmath.structures.DoubleBuffer
+import space.kscience.kmath.structures.IntBuffer
 import kotlin.jvm.JvmName
 
 /**
@@ -36,7 +39,7 @@ public fun <T : Any> Sampler<T>.sampleBuffer(
     //creating temporary storage once
     val tmp = ArrayList<T>(size)
 
-    return sample(generator).collect { chain ->
+    return sample(generator).combine { chain ->
         //clear list from previous run
         tmp.clear()
         //Fill list
diff --git a/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorFieldOpsND.kt b/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorFieldOpsND.kt
index ef7702014..dc0f1f97c 100644
--- a/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorFieldOpsND.kt
+++ b/kmath-viktor/src/main/kotlin/space/kscience/kmath/viktor/ViktorFieldOpsND.kt
@@ -14,7 +14,7 @@ import space.kscience.kmath.operations.ExtendedFieldOps
 import space.kscience.kmath.operations.NumbersAddOps
 import space.kscience.kmath.operations.PowerOperations
 
-@OptIn(UnstableKMathAPI::class)
+@OptIn(UnstableKMathAPI::class, PerformancePitfall::class)
 @Suppress("OVERRIDE_BY_INLINE", "NOTHING_TO_INLINE")
 public open class ViktorFieldOpsND :
     FieldOpsND<Double, DoubleField>,
diff --git a/settings.gradle.kts b/settings.gradle.kts
index 343e937e1..7108b0cb4 100644
--- a/settings.gradle.kts
+++ b/settings.gradle.kts
@@ -1,21 +1,24 @@
-pluginManagement {
+rootProject.name = "kmath"
+
+enableFeaturePreview("TYPESAFE_PROJECT_ACCESSORS")
+enableFeaturePreview("VERSION_CATALOGS")
+
+dependencyResolutionManagement {
+
+    val toolsVersion: String by extra
+
     repositories {
         maven("https://repo.kotlin.link")
         mavenCentral()
-        gradlePluginPortal()
     }
 
-    val kotlinVersion = "1.6.0"
-
-    plugins {
-        id("org.jetbrains.kotlinx.benchmark") version "0.3.1"
-        kotlin("multiplatform") version kotlinVersion
-        kotlin("plugin.allopen") version kotlinVersion
+    versionCatalogs {
+        create("npmlibs") {
+            from("ru.mipt.npm:version-catalog:$toolsVersion")
+        }
     }
 }
 
-rootProject.name = "kmath"
-
 include(
     ":kmath-memory",
     ":kmath-complex",

From 91d93b3bb2e319b66f1011ded39ad089bedf4fe5 Mon Sep 17 00:00:00 2001
From: Alexander Nozik <altavir@gmail.com>
Date: Tue, 4 Jan 2022 19:45:24 +0300
Subject: [PATCH 37/44] restore metaspace

---
 build.gradle.kts  | 2 +-
 gradle.properties | 1 +
 2 files changed, 2 insertions(+), 1 deletion(-)

diff --git a/build.gradle.kts b/build.gradle.kts
index b0797d397..1b2d9d7c0 100644
--- a/build.gradle.kts
+++ b/build.gradle.kts
@@ -16,7 +16,7 @@ allprojects {
 subprojects {
     if (name.startsWith("kmath")) apply<MavenPublishPlugin>()
 
-    afterEvaluate {
+    plugins.withId("org.jetbrains.dokka"){
         tasks.withType<org.jetbrains.dokka.gradle.DokkaTaskPartial> {
             dependsOn(tasks["assemble"])
 
diff --git a/gradle.properties b/gradle.properties
index 6678f24a8..130d294a2 100644
--- a/gradle.properties
+++ b/gradle.properties
@@ -10,5 +10,6 @@ kotlin.jupyter.add.scanner=false
 
 org.gradle.configureondemand=true
 org.gradle.parallel=true
+org.gradle.jvmargs=-XX:MaxMetaspaceSize=1G
 
 toolsVersion=0.10.9-kotlin-1.6.10

From d10815020da286b3400c8e9d19846e900423a759 Mon Sep 17 00:00:00 2001
From: Iaroslav Postovalov <postovalovya@gmail.com>
Date: Tue, 25 Jan 2022 23:02:35 +0700
Subject: [PATCH 38/44] JS benchmarking

---
 benchmarks/build.gradle.kts                   |   24 +-
 .../ExpressionsInterpretersBenchmark.kt       |  105 +
 buildSrc/build.gradle.kts                     |    2 +-
 .../kscience/kmath/ast/TestExecutionTime.kt   |  114 -
 kotlin-js-store/yarn.lock                     | 2059 +++++++++++++++++
 5 files changed, 2183 insertions(+), 121 deletions(-)
 create mode 100644 benchmarks/src/jsMain/kotlin/space/kscience/kmath/benchmarks/ExpressionsInterpretersBenchmark.kt
 delete mode 100644 kmath-ast/src/jsTest/kotlin/space/kscience/kmath/ast/TestExecutionTime.kt
 create mode 100644 kotlin-js-store/yarn.lock

diff --git a/benchmarks/build.gradle.kts b/benchmarks/build.gradle.kts
index aa3d31247..3dc221bae 100644
--- a/benchmarks/build.gradle.kts
+++ b/benchmarks/build.gradle.kts
@@ -13,13 +13,22 @@ sourceSets.register("benchmarks")
 
 repositories {
     mavenCentral()
-    maven("https://repo.kotlin.link")
 }
 
 kotlin {
     jvm()
 
+    js(IR) {
+        nodejs()
+    }
+
     sourceSets {
+        all {
+            languageSettings {
+                progressiveMode = true
+            }
+        }
+
         val commonMain by getting {
             dependencies {
                 implementation(project(":kmath-ast"))
@@ -29,9 +38,8 @@ kotlin {
                 implementation(project(":kmath-stat"))
                 implementation(project(":kmath-dimensions"))
                 implementation(project(":kmath-for-real"))
-                implementation(project(":kmath-jafama"))
                 implementation(project(":kmath-tensors"))
-                implementation("org.jetbrains.kotlinx:kotlinx-benchmark-runtime:0.3.1")
+                implementation("org.jetbrains.kotlinx:kotlinx-benchmark-runtime:0.4.2")
             }
         }
 
@@ -42,6 +50,7 @@ kotlin {
                 implementation(project(":kmath-nd4j"))
                 implementation(project(":kmath-kotlingrad"))
                 implementation(project(":kmath-viktor"))
+                implementation(project(":kmath-jafama"))
                 implementation(project(":kmath-multik"))
                 implementation("org.nd4j:nd4j-native:1.0.0-M1")
                 //    uncomment if your system supports AVX2
@@ -63,6 +72,7 @@ benchmark {
     // Setup configurations
     targets {
         register("jvm")
+        register("js")
     }
 
     fun kotlinx.benchmark.gradle.BenchmarkConfiguration.commonConfiguration() {
@@ -88,7 +98,11 @@ benchmark {
     }
 
     configurations.register("expressions") {
-        commonConfiguration()
+        // Some extra precision
+        warmups = 2
+        iterations = 10
+        iterationTime = 2000
+        iterationTimeUnit = "ms"
         include("ExpressionsInterpretersBenchmark")
     }
 
@@ -125,7 +139,6 @@ afterEvaluate {
     }
 }
 
-
 kotlin.sourceSets.all {
     with(languageSettings) {
         optIn("kotlin.contracts.ExperimentalContracts")
@@ -141,7 +154,6 @@ tasks.withType<org.jetbrains.kotlin.gradle.tasks.KotlinCompile> {
     }
 }
 
-
 readme {
     maturity = ru.mipt.npm.gradle.Maturity.EXPERIMENTAL
 }
diff --git a/benchmarks/src/jsMain/kotlin/space/kscience/kmath/benchmarks/ExpressionsInterpretersBenchmark.kt b/benchmarks/src/jsMain/kotlin/space/kscience/kmath/benchmarks/ExpressionsInterpretersBenchmark.kt
new file mode 100644
index 000000000..126a2e648
--- /dev/null
+++ b/benchmarks/src/jsMain/kotlin/space/kscience/kmath/benchmarks/ExpressionsInterpretersBenchmark.kt
@@ -0,0 +1,105 @@
+/*
+ * Copyright 2018-2021 KMath contributors.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
+ */
+
+package space.kscience.kmath.benchmarks
+
+import kotlinx.benchmark.Benchmark
+import kotlinx.benchmark.Blackhole
+import kotlinx.benchmark.Scope
+import kotlinx.benchmark.State
+import space.kscience.kmath.expressions.*
+import space.kscience.kmath.operations.Algebra
+import space.kscience.kmath.operations.DoubleField
+import space.kscience.kmath.operations.bindSymbol
+import space.kscience.kmath.operations.invoke
+import kotlin.math.sin
+import kotlin.random.Random
+import space.kscience.kmath.estree.compileToExpression as estreeCompileToExpression
+import space.kscience.kmath.wasm.compileToExpression as wasmCompileToExpression
+
+@State(Scope.Benchmark)
+class ExpressionsInterpretersBenchmark {
+    /**
+     * Benchmark case for [Expression] created with [expressionInExtendedField].
+     */
+    @Benchmark
+    fun functionalExpression(blackhole: Blackhole) = invokeAndSum(functional, blackhole)
+
+    /**
+     * Benchmark case for [Expression] created with [toExpression].
+     */
+    @Benchmark
+    fun mstExpression(blackhole: Blackhole) = invokeAndSum(mst, blackhole)
+
+    /**
+     * Benchmark case for [Expression] created with [compileToExpression].
+     */
+    @Benchmark
+    fun wasmExpression(blackhole: Blackhole) = invokeAndSum(wasm, blackhole)
+
+    /**
+     * Benchmark case for [Expression] created with [compileToExpression].
+     */
+    @Benchmark
+    fun estreeExpression(blackhole: Blackhole) = invokeAndSum(estree, blackhole)
+
+    /**
+     * Benchmark case for [Expression] implemented manually with `kotlin.math` functions.
+     */
+    @Benchmark
+    fun rawExpression(blackhole: Blackhole) = invokeAndSum(raw, blackhole)
+
+    /**
+     * Benchmark case for direct computation w/o [Expression].
+     */
+    @Benchmark
+    fun justCalculate(blackhole: Blackhole) {
+        val random = Random(0)
+        var sum = 0.0
+
+        repeat(times) {
+            val x = random.nextDouble()
+            sum += x * 2.0 + 2.0 / x - 16.0 / sin(x)
+        }
+
+        blackhole.consume(sum)
+    }
+
+    private fun invokeAndSum(expr: Expression<Double>, blackhole: Blackhole) {
+        val random = Random(0)
+        var sum = 0.0
+        val m = HashMap<Symbol, Double>()
+
+        repeat(times) {
+            m[x] = random.nextDouble()
+            sum += expr(m)
+        }
+
+        blackhole.consume(sum)
+    }
+
+    private companion object {
+        private val x by symbol
+        private const val times = 1_000_000
+
+        private val functional = DoubleField.expression {
+            val x = bindSymbol(Symbol.x)
+            x * number(2.0) + 2.0 / x - 16.0 / sin(x)
+        }
+
+        private val node = MstExtendedField {
+            x * 2.0 + number(2.0) / x - number(16.0) / sin(x)
+        }
+
+        private val mst = node.toExpression(DoubleField)
+        private val wasm = node.wasmCompileToExpression(DoubleField)
+        private val estree = node.estreeCompileToExpression(DoubleField)
+
+        private val raw = Expression<Double> { args ->
+            val x = args[x]!!
+            x * 2.0 + 2.0 / x - 16.0 / sin(x)
+        }
+    }
+}
diff --git a/buildSrc/build.gradle.kts b/buildSrc/build.gradle.kts
index a7bf5c326..ceb220bd5 100644
--- a/buildSrc/build.gradle.kts
+++ b/buildSrc/build.gradle.kts
@@ -14,7 +14,7 @@ repositories {
 
 val toolsVersion: String by extra
 val kotlinVersion = npmlibs.versions.kotlin.asProvider().get()
-val benchmarksVersion = npmlibs.versions.kotlinx.benchmark.get()
+val benchmarksVersion = "0.4.2"
 
 dependencies {
     api("ru.mipt.npm:gradle-tools:$toolsVersion")
diff --git a/kmath-ast/src/jsTest/kotlin/space/kscience/kmath/ast/TestExecutionTime.kt b/kmath-ast/src/jsTest/kotlin/space/kscience/kmath/ast/TestExecutionTime.kt
deleted file mode 100644
index 8cfa3a87e..000000000
--- a/kmath-ast/src/jsTest/kotlin/space/kscience/kmath/ast/TestExecutionTime.kt
+++ /dev/null
@@ -1,114 +0,0 @@
-/*
- * Copyright 2018-2021 KMath contributors.
- * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
- */
-
-package space.kscience.kmath.ast
-
-import space.kscience.kmath.expressions.*
-import space.kscience.kmath.operations.DoubleField
-import space.kscience.kmath.operations.bindSymbol
-import space.kscience.kmath.operations.invoke
-import kotlin.math.sin
-import kotlin.random.Random
-import kotlin.test.Ignore
-import kotlin.test.Test
-import kotlin.time.measureTime
-import space.kscience.kmath.estree.compileToExpression as estreeCompileToExpression
-import space.kscience.kmath.wasm.compileToExpression as wasmCompileToExpression
-
-// TODO move to benchmarks when https://github.com/Kotlin/kotlinx-benchmark/pull/38 or similar feature is merged
-@Ignore
-internal class TestExecutionTime {
-    private companion object {
-        private const val times = 1_000_000
-        private val x by symbol
-        private val algebra = DoubleField
-
-        private val functional = algebra.expressionInExtendedField {
-            bindSymbol(x) * const(2.0) + const(2.0) / bindSymbol(x) - const(16.0) / sin(bindSymbol(x))
-        }
-
-        private val node = MstExtendedField {
-            x * number(2.0) + number(2.0) / x - number(16.0) / sin(x)
-        }
-
-        private val mst = node.toExpression(algebra)
-        private val wasm = node.wasmCompileToExpression(algebra)
-        private val estree = node.estreeCompileToExpression(algebra)
-
-        // In JavaScript, the expression below is implemented like
-        //   _no_name_provided__125.prototype.invoke_178 = function (args) {
-        //    var tmp = getValue(args, raw$_get_x__3(this._$x$delegate_2)) * 2.0 + 2.0 / getValue(args, raw$_get_x__3(this._$x$delegate_2));
-        //    var tmp0_sin_0_5 = getValue(args, raw$_get_x__3(this._$x$delegate_2));
-        //    return tmp - 16.0 / Math.sin(tmp0_sin_0_5);
-        //  };
-
-        private val raw = Expression<Double> { args ->
-            val x = args[x]!!
-            algebra { x * 2.0 + 2.0 / x - 16.0 / sin(x) }
-        }
-
-        private val justCalculate = { args: dynamic ->
-            val x = args[x].unsafeCast<Double>()
-            x * 2.0 + 2.0 / x - 16.0 / sin(x)
-        }
-    }
-
-    private fun invokeAndSum(name: String, expr: Expression<Double>) {
-        println(name)
-        val rng = Random(0)
-        var sum = 0.0
-        measureTime {
-            repeat(times) { sum += expr(x to rng.nextDouble()) }
-        }.also(::println)
-    }
-
-    /**
-     * [Expression] created with [expressionInExtendedField].
-     */
-    @Test
-    fun functionalExpression() = invokeAndSum("functional", functional)
-
-    /**
-     * [Expression] created with [mstExpression].
-     */
-    @Test
-    fun mstExpression() = invokeAndSum("mst", mst)
-
-    /**
-     * [Expression] created with [wasmCompileToExpression].
-     */
-    @Test
-    fun wasmExpression() = invokeAndSum("wasm", wasm)
-
-    /**
-     * [Expression] created with [estreeCompileToExpression].
-     */
-    @Test
-    fun estreeExpression() = invokeAndSum("estree", wasm)
-
-    /**
-     * [Expression] implemented manually with `kotlin.math`.
-     */
-    @Test
-    fun rawExpression() = invokeAndSum("raw", raw)
-
-    /**
-     * Direct computation w/o [Expression].
-     */
-    @Test
-    fun justCalculateExpression() {
-        println("justCalculate")
-        val rng = Random(0)
-        var sum = 0.0
-        measureTime {
-            repeat(times) {
-                val arg = rng.nextDouble()
-                val o = js("{}")
-                o["x"] = arg
-                sum += justCalculate(o)
-            }
-        }.also(::println)
-    }
-}
diff --git a/kotlin-js-store/yarn.lock b/kotlin-js-store/yarn.lock
new file mode 100644
index 000000000..e21abe604
--- /dev/null
+++ b/kotlin-js-store/yarn.lock
@@ -0,0 +1,2059 @@
+# THIS IS AN AUTOGENERATED FILE. DO NOT EDIT THIS FILE DIRECTLY.
+# yarn lockfile v1
+
+
+"@discoveryjs/json-ext@^0.5.0":
+  version "0.5.6"
+  resolved "https://registry.yarnpkg.com/@discoveryjs/json-ext/-/json-ext-0.5.6.tgz#d5e0706cf8c6acd8c6032f8d54070af261bbbb2f"
+  integrity sha512-ws57AidsDvREKrZKYffXddNkyaF14iHNHm8VQnZH6t99E8gczjNN0GpvcGny0imC80yQ0tHz1xVUKk/KFQSUyA==
+
+"@types/component-emitter@^1.2.10":
+  version "1.2.11"
+  resolved "https://registry.yarnpkg.com/@types/component-emitter/-/component-emitter-1.2.11.tgz#50d47d42b347253817a39709fef03ce66a108506"
+  integrity sha512-SRXjM+tfsSlA9VuG8hGO2nft2p8zjXCK1VcC6N4NXbBbYbSia9kzCChYQajIjzIqOOOuh5Ock6MmV2oux4jDZQ==
+
+"@types/cookie@^0.4.0":
+  version "0.4.1"
+  resolved "https://registry.yarnpkg.com/@types/cookie/-/cookie-0.4.1.tgz#bfd02c1f2224567676c1545199f87c3a861d878d"
+  integrity sha512-XW/Aa8APYr6jSVVA1y/DEIZX0/GMKLEVekNG727R8cs56ahETkRAy/3DR7+fJyh7oUgGwNQaRfXCun0+KbWY7Q==
+
+"@types/cors@^2.8.8":
+  version "2.8.12"
+  resolved "https://registry.yarnpkg.com/@types/cors/-/cors-2.8.12.tgz#6b2c510a7ad7039e98e7b8d3d6598f4359e5c080"
+  integrity sha512-vt+kDhq/M2ayberEtJcIN/hxXy1Pk+59g2FV/ZQceeaTyCtCucjL2Q7FXlFjtWn4n15KCr1NE2lNNFhp0lEThw==
+
+"@types/eslint-scope@^3.7.0":
+  version "3.7.3"
+  resolved "https://registry.yarnpkg.com/@types/eslint-scope/-/eslint-scope-3.7.3.tgz#125b88504b61e3c8bc6f870882003253005c3224"
+  integrity sha512-PB3ldyrcnAicT35TWPs5IcwKD8S333HMaa2VVv4+wdvebJkjWuW/xESoB8IwRcog8HYVYamb1g/R31Qv5Bx03g==
+  dependencies:
+    "@types/eslint" "*"
+    "@types/estree" "*"
+
+"@types/eslint@*":
+  version "8.4.1"
+  resolved "https://registry.yarnpkg.com/@types/eslint/-/eslint-8.4.1.tgz#c48251553e8759db9e656de3efc846954ac32304"
+  integrity sha512-GE44+DNEyxxh2Kc6ro/VkIj+9ma0pO0bwv9+uHSyBrikYOHr8zYcdPvnBOp1aw8s+CjRvuSx7CyWqRrNFQ59mA==
+  dependencies:
+    "@types/estree" "*"
+    "@types/json-schema" "*"
+
+"@types/estree@*", "@types/estree@^0.0.50":
+  version "0.0.50"
+  resolved "https://registry.yarnpkg.com/@types/estree/-/estree-0.0.50.tgz#1e0caa9364d3fccd2931c3ed96fdbeaa5d4cca83"
+  integrity sha512-C6N5s2ZFtuZRj54k2/zyRhNDjJwwcViAM3Nbm8zjBpbqAdZ00mr0CFxvSKeO8Y/e03WVFLpQMdHYVfUd6SB+Hw==
+
+"@types/json-schema@*", "@types/json-schema@^7.0.8":
+  version "7.0.9"
+  resolved "https://registry.yarnpkg.com/@types/json-schema/-/json-schema-7.0.9.tgz#97edc9037ea0c38585320b28964dde3b39e4660d"
+  integrity sha512-qcUXuemtEu+E5wZSJHNxUXeCZhAfXKQ41D+duX+VYPde7xyEVZci+/oXKJL13tnRs9lR2pr4fod59GT6/X1/yQ==
+
+"@types/node@*", "@types/node@>=10.0.0":
+  version "17.0.12"
+  resolved "https://registry.yarnpkg.com/@types/node/-/node-17.0.12.tgz#f7aa331b27f08244888c47b7df126184bc2339c5"
+  integrity sha512-4YpbAsnJXWYK/fpTVFlMIcUIho2AYCi4wg5aNPrG1ng7fn/1/RZfCIpRCiBX+12RVa34RluilnvCqD+g3KiSiA==
+
+"@ungap/promise-all-settled@1.1.2":
+  version "1.1.2"
+  resolved "https://registry.yarnpkg.com/@ungap/promise-all-settled/-/promise-all-settled-1.1.2.tgz#aa58042711d6e3275dd37dc597e5d31e8c290a44"
+  integrity sha512-sL/cEvJWAnClXw0wHk85/2L0G6Sj8UB0Ctc1TEMbKSsmpRosqhwj9gWgFRZSrBr2f9tiXISwNhCPmlfqUqyb9Q==
+
+"@webassemblyjs/ast@1.11.1":
+  version "1.11.1"
+  resolved "https://registry.yarnpkg.com/@webassemblyjs/ast/-/ast-1.11.1.tgz#2bfd767eae1a6996f432ff7e8d7fc75679c0b6a7"
+  integrity sha512-ukBh14qFLjxTQNTXocdyksN5QdM28S1CxHt2rdskFyL+xFV7VremuBLVbmCePj+URalXBENx/9Lm7lnhihtCSw==
+  dependencies:
+    "@webassemblyjs/helper-numbers" "1.11.1"
+    "@webassemblyjs/helper-wasm-bytecode" "1.11.1"
+
+"@webassemblyjs/floating-point-hex-parser@1.11.1":
+  version "1.11.1"
+  resolved "https://registry.yarnpkg.com/@webassemblyjs/floating-point-hex-parser/-/floating-point-hex-parser-1.11.1.tgz#f6c61a705f0fd7a6aecaa4e8198f23d9dc179e4f"
+  integrity sha512-iGRfyc5Bq+NnNuX8b5hwBrRjzf0ocrJPI6GWFodBFzmFnyvrQ83SHKhmilCU/8Jv67i4GJZBMhEzltxzcNagtQ==
+
+"@webassemblyjs/helper-api-error@1.11.1":
+  version "1.11.1"
+  resolved "https://registry.yarnpkg.com/@webassemblyjs/helper-api-error/-/helper-api-error-1.11.1.tgz#1a63192d8788e5c012800ba6a7a46c705288fd16"
+  integrity sha512-RlhS8CBCXfRUR/cwo2ho9bkheSXG0+NwooXcc3PAILALf2QLdFyj7KGsKRbVc95hZnhnERon4kW/D3SZpp6Tcg==
+
+"@webassemblyjs/helper-buffer@1.11.1":
+  version "1.11.1"
+  resolved "https://registry.yarnpkg.com/@webassemblyjs/helper-buffer/-/helper-buffer-1.11.1.tgz#832a900eb444884cde9a7cad467f81500f5e5ab5"
+  integrity sha512-gwikF65aDNeeXa8JxXa2BAk+REjSyhrNC9ZwdT0f8jc4dQQeDQ7G4m0f2QCLPJiMTTO6wfDmRmj/pW0PsUvIcA==
+
+"@webassemblyjs/helper-numbers@1.11.1":
+  version "1.11.1"
+  resolved "https://registry.yarnpkg.com/@webassemblyjs/helper-numbers/-/helper-numbers-1.11.1.tgz#64d81da219fbbba1e3bd1bfc74f6e8c4e10a62ae"
+  integrity sha512-vDkbxiB8zfnPdNK9Rajcey5C0w+QJugEglN0of+kmO8l7lDb77AnlKYQF7aarZuCrv+l0UvqL+68gSDr3k9LPQ==
+  dependencies:
+    "@webassemblyjs/floating-point-hex-parser" "1.11.1"
+    "@webassemblyjs/helper-api-error" "1.11.1"
+    "@xtuc/long" "4.2.2"
+
+"@webassemblyjs/helper-wasm-bytecode@1.11.1":
+  version "1.11.1"
+  resolved "https://registry.yarnpkg.com/@webassemblyjs/helper-wasm-bytecode/-/helper-wasm-bytecode-1.11.1.tgz#f328241e41e7b199d0b20c18e88429c4433295e1"
+  integrity sha512-PvpoOGiJwXeTrSf/qfudJhwlvDQxFgelbMqtq52WWiXC6Xgg1IREdngmPN3bs4RoO83PnL/nFrxucXj1+BX62Q==
+
+"@webassemblyjs/helper-wasm-section@1.11.1":
+  version "1.11.1"
+  resolved "https://registry.yarnpkg.com/@webassemblyjs/helper-wasm-section/-/helper-wasm-section-1.11.1.tgz#21ee065a7b635f319e738f0dd73bfbda281c097a"
+  integrity sha512-10P9No29rYX1j7F3EVPX3JvGPQPae+AomuSTPiF9eBQeChHI6iqjMIwR9JmOJXwpnn/oVGDk7I5IlskuMwU/pg==
+  dependencies:
+    "@webassemblyjs/ast" "1.11.1"
+    "@webassemblyjs/helper-buffer" "1.11.1"
+    "@webassemblyjs/helper-wasm-bytecode" "1.11.1"
+    "@webassemblyjs/wasm-gen" "1.11.1"
+
+"@webassemblyjs/ieee754@1.11.1":
+  version "1.11.1"
+  resolved "https://registry.yarnpkg.com/@webassemblyjs/ieee754/-/ieee754-1.11.1.tgz#963929e9bbd05709e7e12243a099180812992614"
+  integrity sha512-hJ87QIPtAMKbFq6CGTkZYJivEwZDbQUgYd3qKSadTNOhVY7p+gfP6Sr0lLRVTaG1JjFj+r3YchoqRYxNH3M0GQ==
+  dependencies:
+    "@xtuc/ieee754" "^1.2.0"
+
+"@webassemblyjs/leb128@1.11.1":
+  version "1.11.1"
+  resolved "https://registry.yarnpkg.com/@webassemblyjs/leb128/-/leb128-1.11.1.tgz#ce814b45574e93d76bae1fb2644ab9cdd9527aa5"
+  integrity sha512-BJ2P0hNZ0u+Th1YZXJpzW6miwqQUGcIHT1G/sf72gLVD9DZ5AdYTqPNbHZh6K1M5VmKvFXwGSWZADz+qBWxeRw==
+  dependencies:
+    "@xtuc/long" "4.2.2"
+
+"@webassemblyjs/utf8@1.11.1":
+  version "1.11.1"
+  resolved "https://registry.yarnpkg.com/@webassemblyjs/utf8/-/utf8-1.11.1.tgz#d1f8b764369e7c6e6bae350e854dec9a59f0a3ff"
+  integrity sha512-9kqcxAEdMhiwQkHpkNiorZzqpGrodQQ2IGrHHxCy+Ozng0ofyMA0lTqiLkVs1uzTRejX+/O0EOT7KxqVPuXosQ==
+
+"@webassemblyjs/wasm-edit@1.11.1":
+  version "1.11.1"
+  resolved "https://registry.yarnpkg.com/@webassemblyjs/wasm-edit/-/wasm-edit-1.11.1.tgz#ad206ebf4bf95a058ce9880a8c092c5dec8193d6"
+  integrity sha512-g+RsupUC1aTHfR8CDgnsVRVZFJqdkFHpsHMfJuWQzWU3tvnLC07UqHICfP+4XyL2tnr1amvl1Sdp06TnYCmVkA==
+  dependencies:
+    "@webassemblyjs/ast" "1.11.1"
+    "@webassemblyjs/helper-buffer" "1.11.1"
+    "@webassemblyjs/helper-wasm-bytecode" "1.11.1"
+    "@webassemblyjs/helper-wasm-section" "1.11.1"
+    "@webassemblyjs/wasm-gen" "1.11.1"
+    "@webassemblyjs/wasm-opt" "1.11.1"
+    "@webassemblyjs/wasm-parser" "1.11.1"
+    "@webassemblyjs/wast-printer" "1.11.1"
+
+"@webassemblyjs/wasm-gen@1.11.1":
+  version "1.11.1"
+  resolved "https://registry.yarnpkg.com/@webassemblyjs/wasm-gen/-/wasm-gen-1.11.1.tgz#86c5ea304849759b7d88c47a32f4f039ae3c8f76"
+  integrity sha512-F7QqKXwwNlMmsulj6+O7r4mmtAlCWfO/0HdgOxSklZfQcDu0TpLiD1mRt/zF25Bk59FIjEuGAIyn5ei4yMfLhA==
+  dependencies:
+    "@webassemblyjs/ast" "1.11.1"
+    "@webassemblyjs/helper-wasm-bytecode" "1.11.1"
+    "@webassemblyjs/ieee754" "1.11.1"
+    "@webassemblyjs/leb128" "1.11.1"
+    "@webassemblyjs/utf8" "1.11.1"
+
+"@webassemblyjs/wasm-opt@1.11.1":
+  version "1.11.1"
+  resolved "https://registry.yarnpkg.com/@webassemblyjs/wasm-opt/-/wasm-opt-1.11.1.tgz#657b4c2202f4cf3b345f8a4c6461c8c2418985f2"
+  integrity sha512-VqnkNqnZlU5EB64pp1l7hdm3hmQw7Vgqa0KF/KCNO9sIpI6Fk6brDEiX+iCOYrvMuBWDws0NkTOxYEb85XQHHw==
+  dependencies:
+    "@webassemblyjs/ast" "1.11.1"
+    "@webassemblyjs/helper-buffer" "1.11.1"
+    "@webassemblyjs/wasm-gen" "1.11.1"
+    "@webassemblyjs/wasm-parser" "1.11.1"
+
+"@webassemblyjs/wasm-parser@1.11.1":
+  version "1.11.1"
+  resolved "https://registry.yarnpkg.com/@webassemblyjs/wasm-parser/-/wasm-parser-1.11.1.tgz#86ca734534f417e9bd3c67c7a1c75d8be41fb199"
+  integrity sha512-rrBujw+dJu32gYB7/Lup6UhdkPx9S9SnobZzRVL7VcBH9Bt9bCBLEuX/YXOOtBsOZ4NQrRykKhffRWHvigQvOA==
+  dependencies:
+    "@webassemblyjs/ast" "1.11.1"
+    "@webassemblyjs/helper-api-error" "1.11.1"
+    "@webassemblyjs/helper-wasm-bytecode" "1.11.1"
+    "@webassemblyjs/ieee754" "1.11.1"
+    "@webassemblyjs/leb128" "1.11.1"
+    "@webassemblyjs/utf8" "1.11.1"
+
+"@webassemblyjs/wast-printer@1.11.1":
+  version "1.11.1"
+  resolved "https://registry.yarnpkg.com/@webassemblyjs/wast-printer/-/wast-printer-1.11.1.tgz#d0c73beda8eec5426f10ae8ef55cee5e7084c2f0"
+  integrity sha512-IQboUWM4eKzWW+N/jij2sRatKMh99QEelo3Eb2q0qXkvPRISAj8Qxtmw5itwqK+TTkBuUIE45AxYPToqPtL5gg==
+  dependencies:
+    "@webassemblyjs/ast" "1.11.1"
+    "@xtuc/long" "4.2.2"
+
+"@webpack-cli/configtest@^1.1.0":
+  version "1.1.1"
+  resolved "https://registry.yarnpkg.com/@webpack-cli/configtest/-/configtest-1.1.1.tgz#9f53b1b7946a6efc2a749095a4f450e2932e8356"
+  integrity sha512-1FBc1f9G4P/AxMqIgfZgeOTuRnwZMten8E7zap5zgpPInnCrP8D4Q81+4CWIch8i/Nf7nXjP0v6CjjbHOrXhKg==
+
+"@webpack-cli/info@^1.4.0":
+  version "1.4.1"
+  resolved "https://registry.yarnpkg.com/@webpack-cli/info/-/info-1.4.1.tgz#2360ea1710cbbb97ff156a3f0f24556e0fc1ebea"
+  integrity sha512-PKVGmazEq3oAo46Q63tpMr4HipI3OPfP7LiNOEJg963RMgT0rqheag28NCML0o3GIzA3DmxP1ZIAv9oTX1CUIA==
+  dependencies:
+    envinfo "^7.7.3"
+
+"@webpack-cli/serve@^1.6.0":
+  version "1.6.1"
+  resolved "https://registry.yarnpkg.com/@webpack-cli/serve/-/serve-1.6.1.tgz#0de2875ac31b46b6c5bb1ae0a7d7f0ba5678dffe"
+  integrity sha512-gNGTiTrjEVQ0OcVnzsRSqTxaBSr+dmTfm+qJsCDluky8uhdLWep7Gcr62QsAKHTMxjCS/8nEITsmFAhfIx+QSw==
+
+"@xtuc/ieee754@^1.2.0":
+  version "1.2.0"
+  resolved "https://registry.yarnpkg.com/@xtuc/ieee754/-/ieee754-1.2.0.tgz#eef014a3145ae477a1cbc00cd1e552336dceb790"
+  integrity sha512-DX8nKgqcGwsc0eJSqYt5lwP4DH5FlHnmuWWBRy7X0NcaGR0ZtuyeESgMwTYVEtxmsNGY+qit4QYT/MIYTOTPeA==
+
+"@xtuc/long@4.2.2":
+  version "4.2.2"
+  resolved "https://registry.yarnpkg.com/@xtuc/long/-/long-4.2.2.tgz#d291c6a4e97989b5c61d9acf396ae4fe133a718d"
+  integrity sha512-NuHqBY1PB/D8xU6s/thBgOAiAP7HOYDQ32+BFZILJ8ivkUkAHQnWfn6WhL79Owj1qmUnoN/YPhktdIoucipkAQ==
+
+abab@^2.0.5:
+  version "2.0.5"
+  resolved "https://registry.yarnpkg.com/abab/-/abab-2.0.5.tgz#c0b678fb32d60fc1219c784d6a826fe385aeb79a"
+  integrity sha512-9IK9EadsbHo6jLWIpxpR6pL0sazTXV6+SQv25ZB+F7Bj9mJNaOc4nCRabwd5M/JwmUa8idz6Eci6eKfJryPs6Q==
+
+accepts@~1.3.4:
+  version "1.3.7"
+  resolved "https://registry.yarnpkg.com/accepts/-/accepts-1.3.7.tgz#531bc726517a3b2b41f850021c6cc15eaab507cd"
+  integrity sha512-Il80Qs2WjYlJIBNzNkK6KYqlVMTbZLXgHx2oT0pU/fjRHyEp+PEfEPY0R3WCwAGVOtauxh1hOxNgIf5bv7dQpA==
+  dependencies:
+    mime-types "~2.1.24"
+    negotiator "0.6.2"
+
+acorn-import-assertions@^1.7.6:
+  version "1.8.0"
+  resolved "https://registry.yarnpkg.com/acorn-import-assertions/-/acorn-import-assertions-1.8.0.tgz#ba2b5939ce62c238db6d93d81c9b111b29b855e9"
+  integrity sha512-m7VZ3jwz4eK6A4Vtt8Ew1/mNbP24u0FhdyfA7fSvnJR6LMdfOYnmuIrrJAgrYfYJ10F/otaHTtrtrtmHdMNzEw==
+
+acorn@^8.4.1:
+  version "8.7.0"
+  resolved "https://registry.yarnpkg.com/acorn/-/acorn-8.7.0.tgz#90951fde0f8f09df93549481e5fc141445b791cf"
+  integrity sha512-V/LGr1APy+PXIwKebEWrkZPwoeoF+w1jiOBUmuxuiUIaOHtob8Qc9BTrYo7VuI5fR8tqsy+buA2WFooR5olqvQ==
+
+ajv-keywords@^3.5.2:
+  version "3.5.2"
+  resolved "https://registry.yarnpkg.com/ajv-keywords/-/ajv-keywords-3.5.2.tgz#31f29da5ab6e00d1c2d329acf7b5929614d5014d"
+  integrity sha512-5p6WTN0DdTGVQk6VjcEju19IgaHudalcfabD7yhDGeA6bcQnmL+CpveLJq/3hvfwd1aof6L386Ougkx6RfyMIQ==
+
+ajv@^6.12.5:
+  version "6.12.6"
+  resolved "https://registry.yarnpkg.com/ajv/-/ajv-6.12.6.tgz#baf5a62e802b07d977034586f8c3baf5adf26df4"
+  integrity sha512-j3fVLgvTo527anyYyJOGTYJbG+vnnQYvE0m5mmkc1TK+nxAppkCLMIL0aZ4dblVCNoGShhm+kzE4ZUykBoMg4g==
+  dependencies:
+    fast-deep-equal "^3.1.1"
+    fast-json-stable-stringify "^2.0.0"
+    json-schema-traverse "^0.4.1"
+    uri-js "^4.2.2"
+
+ansi-colors@4.1.1:
+  version "4.1.1"
+  resolved "https://registry.yarnpkg.com/ansi-colors/-/ansi-colors-4.1.1.tgz#cbb9ae256bf750af1eab344f229aa27fe94ba348"
+  integrity sha512-JoX0apGbHaUJBNl6yF+p6JAFYZ666/hhCGKN5t9QFjbJQKUU/g8MNbFDbvfrgKXvI1QpZplPOnwIo99lX/AAmA==
+
+ansi-regex@^5.0.1:
+  version "5.0.1"
+  resolved "https://registry.yarnpkg.com/ansi-regex/-/ansi-regex-5.0.1.tgz#082cb2c89c9fe8659a311a53bd6a4dc5301db304"
+  integrity sha512-quJQXlTSUGL2LH9SUXo8VwsY4soanhgo6LNSm84E1LBcE8s3O0wpdiRzyR9z/ZZJMlMWv37qOOb9pdJlMUEKFQ==
+
+ansi-styles@^4.0.0, ansi-styles@^4.1.0:
+  version "4.3.0"
+  resolved "https://registry.yarnpkg.com/ansi-styles/-/ansi-styles-4.3.0.tgz#edd803628ae71c04c85ae7a0906edad34b648937"
+  integrity sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg==
+  dependencies:
+    color-convert "^2.0.1"
+
+anymatch@~3.1.2:
+  version "3.1.2"
+  resolved "https://registry.yarnpkg.com/anymatch/-/anymatch-3.1.2.tgz#c0557c096af32f106198f4f4e2a383537e378716"
+  integrity sha512-P43ePfOAIupkguHUycrc4qJ9kz8ZiuOUijaETwX7THt0Y/GNK7v0aa8rY816xWjZ7rJdA5XdMcpVFTKMq+RvWg==
+  dependencies:
+    normalize-path "^3.0.0"
+    picomatch "^2.0.4"
+
+argparse@^2.0.1:
+  version "2.0.1"
+  resolved "https://registry.yarnpkg.com/argparse/-/argparse-2.0.1.tgz#246f50f3ca78a3240f6c997e8a9bd1eac49e4b38"
+  integrity sha512-8+9WqebbFzpX9OR+Wa6O29asIogeRMzcGtAINdpMHHyAg10f05aSFVBbcEqGf/PXw1EjAZ+q2/bEBg3DvurK3Q==
+
+astring@1.7.5:
+  version "1.7.5"
+  resolved "https://registry.yarnpkg.com/astring/-/astring-1.7.5.tgz#a7d47fceaf32b052d33a3d07c511efeec67447ca"
+  integrity sha512-lobf6RWXb8c4uZ7Mdq0U12efYmpD1UFnyOWVJPTa3ukqZrMopav+2hdNu0hgBF0JIBFK9QgrBDfwYvh3DFJDAA==
+
+balanced-match@^1.0.0:
+  version "1.0.2"
+  resolved "https://registry.yarnpkg.com/balanced-match/-/balanced-match-1.0.2.tgz#e83e3a7e3f300b34cb9d87f615fa0cbf357690ee"
+  integrity sha512-3oSeUO0TMV67hN1AmbXsK4yaqU7tjiHlbxRDZOpH0KW9+CeX4bRAaX0Anxt0tx2MrpRpWwQaPwIlISEJhYU5Pw==
+
+base64-arraybuffer@0.1.4:
+  version "0.1.4"
+  resolved "https://registry.yarnpkg.com/base64-arraybuffer/-/base64-arraybuffer-0.1.4.tgz#9818c79e059b1355f97e0428a017c838e90ba812"
+  integrity sha1-mBjHngWbE1X5fgQooBfIOOkLqBI=
+
+base64id@2.0.0, base64id@~2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/base64id/-/base64id-2.0.0.tgz#2770ac6bc47d312af97a8bf9a634342e0cd25cb6"
+  integrity sha512-lGe34o6EHj9y3Kts9R4ZYs/Gr+6N7MCaMlIFA3F1R2O5/m7K06AxfSeO5530PEERE6/WyEg3lsuyw4GHlPZHog==
+
+benchmark@*:
+  version "2.1.4"
+  resolved "https://registry.yarnpkg.com/benchmark/-/benchmark-2.1.4.tgz#09f3de31c916425d498cc2ee565a0ebf3c2a5629"
+  integrity sha1-CfPeMckWQl1JjMLuVloOvzwqVik=
+  dependencies:
+    lodash "^4.17.4"
+    platform "^1.3.3"
+
+binary-extensions@^2.0.0:
+  version "2.2.0"
+  resolved "https://registry.yarnpkg.com/binary-extensions/-/binary-extensions-2.2.0.tgz#75f502eeaf9ffde42fc98829645be4ea76bd9e2d"
+  integrity sha512-jDctJ/IVQbZoJykoeHbhXpOlNBqGNcwXJKJog42E5HDPUwQTSdjCHdihjj0DlnheQ7blbT6dHOafNAiS8ooQKA==
+
+binaryen@101.0.0:
+  version "101.0.0"
+  resolved "https://registry.yarnpkg.com/binaryen/-/binaryen-101.0.0.tgz#42a9e4cc7a22e2c1d75a31d28005a9b518b2c555"
+  integrity sha512-FRmVxvrR8jtcf0qcukNAPZDM3dZ2sc9GmA/hKxBI7k3fFzREKh1cAs+ruQi+ITTKz7u/AuFMuVnbJwTh0ef/HQ==
+
+body-parser@^1.19.0:
+  version "1.19.1"
+  resolved "https://registry.yarnpkg.com/body-parser/-/body-parser-1.19.1.tgz#1499abbaa9274af3ecc9f6f10396c995943e31d4"
+  integrity sha512-8ljfQi5eBk8EJfECMrgqNGWPEY5jWP+1IzkzkGdFFEwFQZZyaZ21UqdaHktgiMlH0xLHqIFtE/u2OYE5dOtViA==
+  dependencies:
+    bytes "3.1.1"
+    content-type "~1.0.4"
+    debug "2.6.9"
+    depd "~1.1.2"
+    http-errors "1.8.1"
+    iconv-lite "0.4.24"
+    on-finished "~2.3.0"
+    qs "6.9.6"
+    raw-body "2.4.2"
+    type-is "~1.6.18"
+
+brace-expansion@^1.1.7:
+  version "1.1.11"
+  resolved "https://registry.yarnpkg.com/brace-expansion/-/brace-expansion-1.1.11.tgz#3c7fcbf529d87226f3d2f52b966ff5271eb441dd"
+  integrity sha512-iCuPHDFgrHX7H2vEI/5xpz07zSHB00TpugqhmYtVmMO6518mCuRMoOYFldEBl0g187ufozdaHgWKcYFb61qGiA==
+  dependencies:
+    balanced-match "^1.0.0"
+    concat-map "0.0.1"
+
+braces@^3.0.2, braces@~3.0.2:
+  version "3.0.2"
+  resolved "https://registry.yarnpkg.com/braces/-/braces-3.0.2.tgz#3454e1a462ee8d599e236df336cd9ea4f8afe107"
+  integrity sha512-b8um+L1RzM3WDSzvhm6gIz1yfTbBt6YTlcEKAvsmqCZZFw46z626lVj9j1yEPW33H5H+lBQpZMP1k8l+78Ha0A==
+  dependencies:
+    fill-range "^7.0.1"
+
+browser-stdout@1.3.1:
+  version "1.3.1"
+  resolved "https://registry.yarnpkg.com/browser-stdout/-/browser-stdout-1.3.1.tgz#baa559ee14ced73452229bad7326467c61fabd60"
+  integrity sha512-qhAVI1+Av2X7qelOfAIYwXONood6XlZE/fXaBSmW/T5SzLAmCgzi+eiWE7fUvbHaeNBQH13UftjpXxsfLkMpgw==
+
+browserslist@^4.14.5:
+  version "4.19.1"
+  resolved "https://registry.yarnpkg.com/browserslist/-/browserslist-4.19.1.tgz#4ac0435b35ab655896c31d53018b6dd5e9e4c9a3"
+  integrity sha512-u2tbbG5PdKRTUoctO3NBD8FQ5HdPh1ZXPHzp1rwaa5jTc+RV9/+RlWiAIKmjRPQF+xbGM9Kklj5bZQFa2s/38A==
+  dependencies:
+    caniuse-lite "^1.0.30001286"
+    electron-to-chromium "^1.4.17"
+    escalade "^3.1.1"
+    node-releases "^2.0.1"
+    picocolors "^1.0.0"
+
+buffer-from@^1.0.0:
+  version "1.1.2"
+  resolved "https://registry.yarnpkg.com/buffer-from/-/buffer-from-1.1.2.tgz#2b146a6fd72e80b4f55d255f35ed59a3a9a41bd5"
+  integrity sha512-E+XQCRwSbaaiChtv6k6Dwgc+bx+Bs6vuKJHHl5kox/BaKbhiXzqQOwK4cO22yElGp2OCmjwVhT3HmxgyPGnJfQ==
+
+bytes@3.1.1:
+  version "3.1.1"
+  resolved "https://registry.yarnpkg.com/bytes/-/bytes-3.1.1.tgz#3f018291cb4cbad9accb6e6970bca9c8889e879a"
+  integrity sha512-dWe4nWO/ruEOY7HkUJ5gFt1DCFV9zPRoJr8pV0/ASQermOZjtq8jMjOprC0Kd10GLN+l7xaUPvxzJFWtxGu8Fg==
+
+camelcase@^6.0.0:
+  version "6.3.0"
+  resolved "https://registry.yarnpkg.com/camelcase/-/camelcase-6.3.0.tgz#5685b95eb209ac9c0c177467778c9c84df58ba9a"
+  integrity sha512-Gmy6FhYlCY7uOElZUSbxo2UCDH8owEk996gkbrpsgGtrJLM3J7jGxl9Ic7Qwwj4ivOE5AWZWRMecDdF7hqGjFA==
+
+caniuse-lite@^1.0.30001286:
+  version "1.0.30001301"
+  resolved "https://registry.yarnpkg.com/caniuse-lite/-/caniuse-lite-1.0.30001301.tgz#ebc9086026534cab0dab99425d9c3b4425e5f450"
+  integrity sha512-csfD/GpHMqgEL3V3uIgosvh+SVIQvCh43SNu9HRbP1lnxkKm1kjDG4f32PP571JplkLjfS+mg2p1gxR7MYrrIA==
+
+chalk@^4.1.0:
+  version "4.1.2"
+  resolved "https://registry.yarnpkg.com/chalk/-/chalk-4.1.2.tgz#aac4e2b7734a740867aeb16bf02aad556a1e7a01"
+  integrity sha512-oKnbhFyRIXpUuez8iBMmyEa4nbj4IOQyuhc/wy9kY7/WVPcwIO9VA668Pu8RkO7+0G76SLROeyw9CpQ061i4mA==
+  dependencies:
+    ansi-styles "^4.1.0"
+    supports-color "^7.1.0"
+
+chokidar@3.5.2:
+  version "3.5.2"
+  resolved "https://registry.yarnpkg.com/chokidar/-/chokidar-3.5.2.tgz#dba3976fcadb016f66fd365021d91600d01c1e75"
+  integrity sha512-ekGhOnNVPgT77r4K/U3GDhu+FQ2S8TnK/s2KbIGXi0SZWuwkZ2QNyfWdZW+TVfn84DpEP7rLeCt2UI6bJ8GwbQ==
+  dependencies:
+    anymatch "~3.1.2"
+    braces "~3.0.2"
+    glob-parent "~5.1.2"
+    is-binary-path "~2.1.0"
+    is-glob "~4.0.1"
+    normalize-path "~3.0.0"
+    readdirp "~3.6.0"
+  optionalDependencies:
+    fsevents "~2.3.2"
+
+chokidar@^3.5.1:
+  version "3.5.3"
+  resolved "https://registry.yarnpkg.com/chokidar/-/chokidar-3.5.3.tgz#1cf37c8707b932bd1af1ae22c0432e2acd1903bd"
+  integrity sha512-Dr3sfKRP6oTcjf2JmUmFJfeVMvXBdegxB0iVQ5eb2V10uFJUCAS8OByZdVAyVb8xXNz3GjjTgj9kLWsZTqE6kw==
+  dependencies:
+    anymatch "~3.1.2"
+    braces "~3.0.2"
+    glob-parent "~5.1.2"
+    is-binary-path "~2.1.0"
+    is-glob "~4.0.1"
+    normalize-path "~3.0.0"
+    readdirp "~3.6.0"
+  optionalDependencies:
+    fsevents "~2.3.2"
+
+chrome-trace-event@^1.0.2:
+  version "1.0.3"
+  resolved "https://registry.yarnpkg.com/chrome-trace-event/-/chrome-trace-event-1.0.3.tgz#1015eced4741e15d06664a957dbbf50d041e26ac"
+  integrity sha512-p3KULyQg4S7NIHixdwbGX+nFHkoBiA4YQmyWtjb8XngSKV124nJmRysgAeujbUVb15vh+RvFUfCPqU7rXk+hZg==
+
+cliui@^7.0.2:
+  version "7.0.4"
+  resolved "https://registry.yarnpkg.com/cliui/-/cliui-7.0.4.tgz#a0265ee655476fc807aea9df3df8df7783808b4f"
+  integrity sha512-OcRE68cOsVMXp1Yvonl/fzkQOyjLSu/8bhPDfQt0e0/Eb283TKP20Fs2MqoPsr9SwA595rRCA+QMzYc9nBP+JQ==
+  dependencies:
+    string-width "^4.2.0"
+    strip-ansi "^6.0.0"
+    wrap-ansi "^7.0.0"
+
+clone-deep@^4.0.1:
+  version "4.0.1"
+  resolved "https://registry.yarnpkg.com/clone-deep/-/clone-deep-4.0.1.tgz#c19fd9bdbbf85942b4fd979c84dcf7d5f07c2387"
+  integrity sha512-neHB9xuzh/wk0dIHweyAXv2aPGZIVk3pLMe+/RNzINf17fe0OG96QroktYAUm7SM1PBnzTabaLboqqxDyMU+SQ==
+  dependencies:
+    is-plain-object "^2.0.4"
+    kind-of "^6.0.2"
+    shallow-clone "^3.0.0"
+
+color-convert@^2.0.1:
+  version "2.0.1"
+  resolved "https://registry.yarnpkg.com/color-convert/-/color-convert-2.0.1.tgz#72d3a68d598c9bdb3af2ad1e84f21d896abd4de3"
+  integrity sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==
+  dependencies:
+    color-name "~1.1.4"
+
+color-name@~1.1.4:
+  version "1.1.4"
+  resolved "https://registry.yarnpkg.com/color-name/-/color-name-1.1.4.tgz#c2a09a87acbde69543de6f63fa3995c826c536a2"
+  integrity sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==
+
+colorette@^2.0.14:
+  version "2.0.16"
+  resolved "https://registry.yarnpkg.com/colorette/-/colorette-2.0.16.tgz#713b9af84fdb000139f04546bd4a93f62a5085da"
+  integrity sha512-hUewv7oMjCp+wkBv5Rm0v87eJhq4woh5rSR+42YSQJKecCqgIqNkZ6lAlQms/BwHPJA5NKMRlpxPRv0n8HQW6g==
+
+colors@^1.4.0:
+  version "1.4.0"
+  resolved "https://registry.yarnpkg.com/colors/-/colors-1.4.0.tgz#c50491479d4c1bdaed2c9ced32cf7c7dc2360f78"
+  integrity sha512-a+UqTh4kgZg/SlGvfbzDHpgRu7AAQOmmqRHJnxhRZICKFUT91brVhNNt58CMWU9PsBbv3PDCZUHbVxuDiH2mtA==
+
+commander@^2.20.0:
+  version "2.20.3"
+  resolved "https://registry.yarnpkg.com/commander/-/commander-2.20.3.tgz#fd485e84c03eb4881c20722ba48035e8531aeb33"
+  integrity sha512-GpVkmM8vF2vQUkj2LvZmD35JxeJOLCwJ9cUkugyk2nuhbv3+mJvpLYYt+0+USMxE+oj+ey/lJEnhZw75x/OMcQ==
+
+commander@^7.0.0:
+  version "7.2.0"
+  resolved "https://registry.yarnpkg.com/commander/-/commander-7.2.0.tgz#a36cb57d0b501ce108e4d20559a150a391d97ab7"
+  integrity sha512-QrWXB+ZQSVPmIWIhtEO9H+gwHaMGYiF5ChvoJ+K9ZGHG/sVsa6yiesAD1GC/x46sET00Xlwo1u49RVVVzvcSkw==
+
+component-emitter@~1.3.0:
+  version "1.3.0"
+  resolved "https://registry.yarnpkg.com/component-emitter/-/component-emitter-1.3.0.tgz#16e4070fba8ae29b679f2215853ee181ab2eabc0"
+  integrity sha512-Rd3se6QB+sO1TwqZjscQrurpEPIfO0/yYnSin6Q/rD3mOutHvUrCAhJub3r90uNb+SESBuE0QYoB90YdfatsRg==
+
+concat-map@0.0.1:
+  version "0.0.1"
+  resolved "https://registry.yarnpkg.com/concat-map/-/concat-map-0.0.1.tgz#d8a96bd77fd68df7793a73036a3ba0d5405d477b"
+  integrity sha1-2Klr13/Wjfd5OnMDajug1UBdR3s=
+
+connect@^3.7.0:
+  version "3.7.0"
+  resolved "https://registry.yarnpkg.com/connect/-/connect-3.7.0.tgz#5d49348910caa5e07a01800b030d0c35f20484f8"
+  integrity sha512-ZqRXc+tZukToSNmh5C2iWMSoV3X1YUcPbqEM4DkEG5tNQXrQUZCNVGGv3IuicnkMtPfGf3Xtp8WCXs295iQ1pQ==
+  dependencies:
+    debug "2.6.9"
+    finalhandler "1.1.2"
+    parseurl "~1.3.3"
+    utils-merge "1.0.1"
+
+content-type@~1.0.4:
+  version "1.0.4"
+  resolved "https://registry.yarnpkg.com/content-type/-/content-type-1.0.4.tgz#e138cc75e040c727b1966fe5e5f8c9aee256fe3b"
+  integrity sha512-hIP3EEPs8tB9AT1L+NUqtwOAps4mk2Zob89MWXMHjHWg9milF/j4osnnQLXBCBFBk/tvIG/tUc9mOUJiPBhPXA==
+
+cookie@~0.4.1:
+  version "0.4.1"
+  resolved "https://registry.yarnpkg.com/cookie/-/cookie-0.4.1.tgz#afd713fe26ebd21ba95ceb61f9a8116e50a537d1"
+  integrity sha512-ZwrFkGJxUR3EIoXtO+yVE69Eb7KlixbaeAWfBQB9vVsNn/o+Yw69gBWSSDK825hQNdN+wF8zELf3dFNl/kxkUA==
+
+cors@~2.8.5:
+  version "2.8.5"
+  resolved "https://registry.yarnpkg.com/cors/-/cors-2.8.5.tgz#eac11da51592dd86b9f06f6e7ac293b3df875d29"
+  integrity sha512-KIHbLJqu73RGr/hnbrO9uBeixNGuvSQjul/jdFvS/KFSIH1hWVd1ng7zOHx+YrEfInLG7q4n6GHQ9cDtxv/P6g==
+  dependencies:
+    object-assign "^4"
+    vary "^1"
+
+cross-spawn@^7.0.3:
+  version "7.0.3"
+  resolved "https://registry.yarnpkg.com/cross-spawn/-/cross-spawn-7.0.3.tgz#f73a85b9d5d41d045551c177e2882d4ac85728a6"
+  integrity sha512-iRDPJKUPVEND7dHPO8rkbOnPpyDygcDFtWjpeWNCgy8WP2rXcxXL8TskReQl6OrB2G7+UJrags1q15Fudc7G6w==
+  dependencies:
+    path-key "^3.1.0"
+    shebang-command "^2.0.0"
+    which "^2.0.1"
+
+css-loader@6.3.0:
+  version "6.3.0"
+  resolved "https://registry.yarnpkg.com/css-loader/-/css-loader-6.3.0.tgz#334d3500ff0a0c14cfbd4b0670088dbb5b5c1530"
+  integrity sha512-9NGvHOR+L6ps13Ilw/b216++Q8q+5RpJcVufCdW9S/9iCzs4KBDNa8qnA/n3FK/sSfWmH35PAIK/cfPi7LOSUg==
+  dependencies:
+    icss-utils "^5.1.0"
+    postcss "^8.2.15"
+    postcss-modules-extract-imports "^3.0.0"
+    postcss-modules-local-by-default "^4.0.0"
+    postcss-modules-scope "^3.0.0"
+    postcss-modules-values "^4.0.0"
+    postcss-value-parser "^4.1.0"
+    semver "^7.3.5"
+
+cssesc@^3.0.0:
+  version "3.0.0"
+  resolved "https://registry.yarnpkg.com/cssesc/-/cssesc-3.0.0.tgz#37741919903b868565e1c09ea747445cd18983ee"
+  integrity sha512-/Tb/JcjK111nNScGob5MNtsntNM1aCNUDipB/TkwZFhyDrrE47SOx/18wF2bbjgc3ZzCSKW1T5nt5EbFoAz/Vg==
+
+custom-event@~1.0.0:
+  version "1.0.1"
+  resolved "https://registry.yarnpkg.com/custom-event/-/custom-event-1.0.1.tgz#5d02a46850adf1b4a317946a3928fccb5bfd0425"
+  integrity sha1-XQKkaFCt8bSjF5RqOSj8y1v9BCU=
+
+date-format@^4.0.3:
+  version "4.0.3"
+  resolved "https://registry.yarnpkg.com/date-format/-/date-format-4.0.3.tgz#f63de5dc08dc02efd8ef32bf2a6918e486f35873"
+  integrity sha512-7P3FyqDcfeznLZp2b+OMitV9Sz2lUnsT87WaTat9nVwqsBkTzPG3lPLNwW3en6F4pHUiWzr6vb8CLhjdK9bcxQ==
+
+debug@2.6.9:
+  version "2.6.9"
+  resolved "https://registry.yarnpkg.com/debug/-/debug-2.6.9.tgz#5d128515df134ff327e90a4c93f4e077a536341f"
+  integrity sha512-bC7ElrdJaJnPbAP+1EotYvqZsb3ecl5wi6Bfi6BJTUcNowp6cvspg0jXznRTKDjm/E7AdgFBVeAPVMNcKGsHMA==
+  dependencies:
+    ms "2.0.0"
+
+debug@4.3.2:
+  version "4.3.2"
+  resolved "https://registry.yarnpkg.com/debug/-/debug-4.3.2.tgz#f0a49c18ac8779e31d4a0c6029dfb76873c7428b"
+  integrity sha512-mOp8wKcvj7XxC78zLgw/ZA+6TSgkoE2C/ienthhRD298T7UNwAg9diBpLRxC0mOezLl4B0xV7M0cCO6P/O0Xhw==
+  dependencies:
+    ms "2.1.2"
+
+debug@^4.1.1, debug@^4.3.3, debug@~4.3.1:
+  version "4.3.3"
+  resolved "https://registry.yarnpkg.com/debug/-/debug-4.3.3.tgz#04266e0b70a98d4462e6e288e38259213332b664"
+  integrity sha512-/zxw5+vh1Tfv+4Qn7a5nsbcJKPaSvCDhojn6FEl9vupwK2VCSDtEiEtqr8DFtzYFOdz63LBkxec7DYuc2jon6Q==
+  dependencies:
+    ms "2.1.2"
+
+decamelize@^4.0.0:
+  version "4.0.0"
+  resolved "https://registry.yarnpkg.com/decamelize/-/decamelize-4.0.0.tgz#aa472d7bf660eb15f3494efd531cab7f2a709837"
+  integrity sha512-9iE1PgSik9HeIIw2JO94IidnE3eBoQrFJ3w7sFuzSX4DpmZ3v5sZpUiV5Swcf6mQEF+Y0ru8Neo+p+nyh2J+hQ==
+
+depd@~1.1.2:
+  version "1.1.2"
+  resolved "https://registry.yarnpkg.com/depd/-/depd-1.1.2.tgz#9bcd52e14c097763e749b274c4346ed2e560b5a9"
+  integrity sha1-m81S4UwJd2PnSbJ0xDRu0uVgtak=
+
+di@^0.0.1:
+  version "0.0.1"
+  resolved "https://registry.yarnpkg.com/di/-/di-0.0.1.tgz#806649326ceaa7caa3306d75d985ea2748ba913c"
+  integrity sha1-gGZJMmzqp8qjMG112YXqJ0i6kTw=
+
+diff@5.0.0:
+  version "5.0.0"
+  resolved "https://registry.yarnpkg.com/diff/-/diff-5.0.0.tgz#7ed6ad76d859d030787ec35855f5b1daf31d852b"
+  integrity sha512-/VTCrvm5Z0JGty/BWHljh+BAiw3IK+2j87NGMu8Nwc/f48WoDAC395uomO9ZD117ZOBaHmkX1oyLvkVM/aIT3w==
+
+dom-serialize@^2.2.1:
+  version "2.2.1"
+  resolved "https://registry.yarnpkg.com/dom-serialize/-/dom-serialize-2.2.1.tgz#562ae8999f44be5ea3076f5419dcd59eb43ac95b"
+  integrity sha1-ViromZ9Evl6jB29UGdzVnrQ6yVs=
+  dependencies:
+    custom-event "~1.0.0"
+    ent "~2.2.0"
+    extend "^3.0.0"
+    void-elements "^2.0.0"
+
+dukat@0.5.8-rc.4:
+  version "0.5.8-rc.4"
+  resolved "https://registry.yarnpkg.com/dukat/-/dukat-0.5.8-rc.4.tgz#90384dcb50b14c26f0e99dae92b2dea44f5fce21"
+  integrity sha512-ZnMt6DGBjlVgK2uQamXfd7uP/AxH7RqI0BL9GLrrJb2gKdDxvJChWy+M9AQEaL+7/6TmxzJxFOsRiInY9oGWTA==
+  dependencies:
+    google-protobuf "3.12.2"
+    typescript "3.9.5"
+
+ee-first@1.1.1:
+  version "1.1.1"
+  resolved "https://registry.yarnpkg.com/ee-first/-/ee-first-1.1.1.tgz#590c61156b0ae2f4f0255732a158b266bc56b21d"
+  integrity sha1-WQxhFWsK4vTwJVcyoViyZrxWsh0=
+
+electron-to-chromium@^1.4.17:
+  version "1.4.52"
+  resolved "https://registry.yarnpkg.com/electron-to-chromium/-/electron-to-chromium-1.4.52.tgz#ce44c6d6cc449e7688a4356b8c261cfeafa26833"
+  integrity sha512-JGkh8HEh5PnVrhU4HbpyyO0O791dVY6k7AdqfDeqbcRMeoGxtNHWT77deR2nhvbLe4dKpxjlDEvdEwrvRLGu2Q==
+
+emoji-regex@^8.0.0:
+  version "8.0.0"
+  resolved "https://registry.yarnpkg.com/emoji-regex/-/emoji-regex-8.0.0.tgz#e818fd69ce5ccfcb404594f842963bf53164cc37"
+  integrity sha512-MSjYzcWNOA0ewAHpz0MxpYFvwg6yjy1NG3xteoqz644VCo/RPgnr1/GGt+ic3iJTzQ8Eu3TdM14SawnVUmGE6A==
+
+encodeurl@~1.0.2:
+  version "1.0.2"
+  resolved "https://registry.yarnpkg.com/encodeurl/-/encodeurl-1.0.2.tgz#ad3ff4c86ec2d029322f5a02c3a9a606c95b3f59"
+  integrity sha1-rT/0yG7C0CkyL1oCw6mmBslbP1k=
+
+engine.io-parser@~4.0.0:
+  version "4.0.3"
+  resolved "https://registry.yarnpkg.com/engine.io-parser/-/engine.io-parser-4.0.3.tgz#83d3a17acfd4226f19e721bb22a1ee8f7662d2f6"
+  integrity sha512-xEAAY0msNnESNPc00e19y5heTPX4y/TJ36gr8t1voOaNmTojP9b3oK3BbJLFufW2XFPQaaijpFewm2g2Um3uqA==
+  dependencies:
+    base64-arraybuffer "0.1.4"
+
+engine.io@~4.1.0:
+  version "4.1.2"
+  resolved "https://registry.yarnpkg.com/engine.io/-/engine.io-4.1.2.tgz#f96ceb56d4b39cc7ca5bd29a20e9c99c1ad1a765"
+  integrity sha512-t5z6zjXuVLhXDMiFJPYsPOWEER8B0tIsD3ETgw19S1yg9zryvUfY3Vhtk3Gf4sihw/bQGIqQ//gjvVlu+Ca0bQ==
+  dependencies:
+    accepts "~1.3.4"
+    base64id "2.0.0"
+    cookie "~0.4.1"
+    cors "~2.8.5"
+    debug "~4.3.1"
+    engine.io-parser "~4.0.0"
+    ws "~7.4.2"
+
+enhanced-resolve@^5.8.3:
+  version "5.8.3"
+  resolved "https://registry.yarnpkg.com/enhanced-resolve/-/enhanced-resolve-5.8.3.tgz#6d552d465cce0423f5b3d718511ea53826a7b2f0"
+  integrity sha512-EGAbGvH7j7Xt2nc0E7D99La1OiEs8LnyimkRgwExpUMScN6O+3x9tIWs7PLQZVNx4YD+00skHXPXi1yQHpAmZA==
+  dependencies:
+    graceful-fs "^4.2.4"
+    tapable "^2.2.0"
+
+ent@~2.2.0:
+  version "2.2.0"
+  resolved "https://registry.yarnpkg.com/ent/-/ent-2.2.0.tgz#e964219325a21d05f44466a2f686ed6ce5f5dd1d"
+  integrity sha1-6WQhkyWiHQX0RGai9obtbOX13R0=
+
+envinfo@^7.7.3:
+  version "7.8.1"
+  resolved "https://registry.yarnpkg.com/envinfo/-/envinfo-7.8.1.tgz#06377e3e5f4d379fea7ac592d5ad8927e0c4d475"
+  integrity sha512-/o+BXHmB7ocbHEAs6F2EnG0ogybVVUdkRunTT2glZU9XAaGmhqskrvKwqXuDfNjEO0LZKWdejEEpnq8aM0tOaw==
+
+es-module-lexer@^0.9.0:
+  version "0.9.3"
+  resolved "https://registry.yarnpkg.com/es-module-lexer/-/es-module-lexer-0.9.3.tgz#6f13db00cc38417137daf74366f535c8eb438f19"
+  integrity sha512-1HQ2M2sPtxwnvOvT1ZClHyQDiggdNjURWpY2we6aMKCQiUVxTmVs2UYPLIrD84sS+kMdUwfBSylbJPwNnBrnHQ==
+
+escalade@^3.1.1:
+  version "3.1.1"
+  resolved "https://registry.yarnpkg.com/escalade/-/escalade-3.1.1.tgz#d8cfdc7000965c5a0174b4a82eaa5c0552742e40"
+  integrity sha512-k0er2gUkLf8O0zKJiAhmkTnJlTvINGv7ygDNPbeIsX/TJjGJZHuh9B2UxbsaEkmlEo9MfhrSzmhIlhRlI2GXnw==
+
+escape-html@~1.0.3:
+  version "1.0.3"
+  resolved "https://registry.yarnpkg.com/escape-html/-/escape-html-1.0.3.tgz#0258eae4d3d0c0974de1c169188ef0051d1d1988"
+  integrity sha1-Aljq5NPQwJdN4cFpGI7wBR0dGYg=
+
+escape-string-regexp@4.0.0:
+  version "4.0.0"
+  resolved "https://registry.yarnpkg.com/escape-string-regexp/-/escape-string-regexp-4.0.0.tgz#14ba83a5d373e3d311e5afca29cf5bfad965bf34"
+  integrity sha512-TtpcNJ3XAzx3Gq8sWRzJaVajRs0uVxA2YAkdb1jm2YkPz4G6egUFAyA3n5vtEIZefPk5Wa4UXbKuS5fKkJWdgA==
+
+eslint-scope@5.1.1:
+  version "5.1.1"
+  resolved "https://registry.yarnpkg.com/eslint-scope/-/eslint-scope-5.1.1.tgz#e786e59a66cb92b3f6c1fb0d508aab174848f48c"
+  integrity sha512-2NxwbF/hZ0KpepYN0cNbo+FN6XoK7GaHlQhgx/hIZl6Va0bF45RQOOwhLIy8lQDbuCiadSLCBnH2CFYquit5bw==
+  dependencies:
+    esrecurse "^4.3.0"
+    estraverse "^4.1.1"
+
+esrecurse@^4.3.0:
+  version "4.3.0"
+  resolved "https://registry.yarnpkg.com/esrecurse/-/esrecurse-4.3.0.tgz#7ad7964d679abb28bee72cec63758b1c5d2c9921"
+  integrity sha512-KmfKL3b6G+RXvP8N1vr3Tq1kL/oCFgn2NYXEtqP8/L3pKapUA4G8cFVaoF3SU323CD4XypR/ffioHmkti6/Tag==
+  dependencies:
+    estraverse "^5.2.0"
+
+estraverse@^4.1.1:
+  version "4.3.0"
+  resolved "https://registry.yarnpkg.com/estraverse/-/estraverse-4.3.0.tgz#398ad3f3c5a24948be7725e83d11a7de28cdbd1d"
+  integrity sha512-39nnKffWz8xN1BU/2c79n9nB9HDzo0niYUqx6xyqUnyoAnQyyWpOTdZEeiCch8BBu515t4wp9ZmgVfVhn9EBpw==
+
+estraverse@^5.2.0:
+  version "5.3.0"
+  resolved "https://registry.yarnpkg.com/estraverse/-/estraverse-5.3.0.tgz#2eea5290702f26ab8fe5370370ff86c965d21123"
+  integrity sha512-MMdARuVEQziNTeJD8DgMqmhwR11BRQ/cBP+pLtYdSTnf3MIO8fFeiINEbX36ZdNlfU/7A9f3gUw49B3oQsvwBA==
+
+eventemitter3@^4.0.0:
+  version "4.0.7"
+  resolved "https://registry.yarnpkg.com/eventemitter3/-/eventemitter3-4.0.7.tgz#2de9b68f6528d5644ef5c59526a1b4a07306169f"
+  integrity sha512-8guHBZCwKnFhYdHr2ysuRWErTwhoN2X8XELRlrRwpmfeY2jjuUN4taQMsULKUVo1K4DvZl+0pgfyoysHxvmvEw==
+
+events@^3.2.0:
+  version "3.3.0"
+  resolved "https://registry.yarnpkg.com/events/-/events-3.3.0.tgz#31a95ad0a924e2d2c419a813aeb2c4e878ea7400"
+  integrity sha512-mQw+2fkQbALzQ7V0MY0IqdnXNOeTtP4r0lN9z7AAawCXgqea7bDii20AYrIBrFd/Hx0M2Ocz6S111CaFkUcb0Q==
+
+execa@^5.0.0:
+  version "5.1.1"
+  resolved "https://registry.yarnpkg.com/execa/-/execa-5.1.1.tgz#f80ad9cbf4298f7bd1d4c9555c21e93741c411dd"
+  integrity sha512-8uSpZZocAZRBAPIEINJj3Lo9HyGitllczc27Eh5YYojjMFMn8yHMDMaUHE2Jqfq05D/wucwI4JGURyXt1vchyg==
+  dependencies:
+    cross-spawn "^7.0.3"
+    get-stream "^6.0.0"
+    human-signals "^2.1.0"
+    is-stream "^2.0.0"
+    merge-stream "^2.0.0"
+    npm-run-path "^4.0.1"
+    onetime "^5.1.2"
+    signal-exit "^3.0.3"
+    strip-final-newline "^2.0.0"
+
+extend@^3.0.0:
+  version "3.0.2"
+  resolved "https://registry.yarnpkg.com/extend/-/extend-3.0.2.tgz#f8b1136b4071fbd8eb140aff858b1019ec2915fa"
+  integrity sha512-fjquC59cD7CyW6urNXK0FBufkZcoiGG80wTuPujX590cB5Ttln20E2UB4S/WARVqhXffZl2LNgS+gQdPIIim/g==
+
+fast-deep-equal@^3.1.1:
+  version "3.1.3"
+  resolved "https://registry.yarnpkg.com/fast-deep-equal/-/fast-deep-equal-3.1.3.tgz#3a7d56b559d6cbc3eb512325244e619a65c6c525"
+  integrity sha512-f3qQ9oQy9j2AhBe/H9VC91wLmKBCCU/gDOnKNAYG5hswO7BLKj09Hc5HYNz9cGI++xlpDCIgDaitVs03ATR84Q==
+
+fast-json-stable-stringify@^2.0.0:
+  version "2.1.0"
+  resolved "https://registry.yarnpkg.com/fast-json-stable-stringify/-/fast-json-stable-stringify-2.1.0.tgz#874bf69c6f404c2b5d99c481341399fd55892633"
+  integrity sha512-lhd/wF+Lk98HZoTCtlVraHtfh5XYijIjalXck7saUtuanSDyLMxnHhSXEDJqHxD7msR8D0uCmqlkwjCV8xvwHw==
+
+fastest-levenshtein@^1.0.12:
+  version "1.0.12"
+  resolved "https://registry.yarnpkg.com/fastest-levenshtein/-/fastest-levenshtein-1.0.12.tgz#9990f7d3a88cc5a9ffd1f1745745251700d497e2"
+  integrity sha512-On2N+BpYJ15xIC974QNVuYGMOlEVt4s0EOI3wwMqOmK1fdDY+FN/zltPV8vosq4ad4c/gJ1KHScUn/6AWIgiow==
+
+fill-range@^7.0.1:
+  version "7.0.1"
+  resolved "https://registry.yarnpkg.com/fill-range/-/fill-range-7.0.1.tgz#1919a6a7c75fe38b2c7c77e5198535da9acdda40"
+  integrity sha512-qOo9F+dMUmC2Lcb4BbVvnKJxTPjCm+RRpe4gDuGrzkL7mEVl/djYSu2OdQ2Pa302N4oqkSg9ir6jaLWJ2USVpQ==
+  dependencies:
+    to-regex-range "^5.0.1"
+
+finalhandler@1.1.2:
+  version "1.1.2"
+  resolved "https://registry.yarnpkg.com/finalhandler/-/finalhandler-1.1.2.tgz#b7e7d000ffd11938d0fdb053506f6ebabe9f587d"
+  integrity sha512-aAWcW57uxVNrQZqFXjITpW3sIUQmHGG3qSb9mUah9MgMC4NeWhNOlNjXEYq3HjRAvL6arUviZGGJsBg6z0zsWA==
+  dependencies:
+    debug "2.6.9"
+    encodeurl "~1.0.2"
+    escape-html "~1.0.3"
+    on-finished "~2.3.0"
+    parseurl "~1.3.3"
+    statuses "~1.5.0"
+    unpipe "~1.0.0"
+
+find-up@5.0.0:
+  version "5.0.0"
+  resolved "https://registry.yarnpkg.com/find-up/-/find-up-5.0.0.tgz#4c92819ecb7083561e4f4a240a86be5198f536fc"
+  integrity sha512-78/PXT1wlLLDgTzDs7sjq9hzz0vXD+zn+7wypEe4fXQxCmdmqfGsEPQxmiCSQI3ajFV91bVSsvNtrJRiW6nGng==
+  dependencies:
+    locate-path "^6.0.0"
+    path-exists "^4.0.0"
+
+find-up@^4.0.0:
+  version "4.1.0"
+  resolved "https://registry.yarnpkg.com/find-up/-/find-up-4.1.0.tgz#97afe7d6cdc0bc5928584b7c8d7b16e8a9aa5d19"
+  integrity sha512-PpOwAdQ/YlXQ2vj8a3h8IipDuYRi3wceVQQGYWxNINccq40Anw7BlsEXCMbt1Zt+OLA6Fq9suIpIWD0OsnISlw==
+  dependencies:
+    locate-path "^5.0.0"
+    path-exists "^4.0.0"
+
+flat@^5.0.2:
+  version "5.0.2"
+  resolved "https://registry.yarnpkg.com/flat/-/flat-5.0.2.tgz#8ca6fe332069ffa9d324c327198c598259ceb241"
+  integrity sha512-b6suED+5/3rTpUBdG1gupIl8MPFCAMA0QXwmljLhvCUKcUvdE4gWky9zpuGCcXHOsz4J9wPGNWq6OKpmIzz3hQ==
+
+flatted@^3.2.4:
+  version "3.2.4"
+  resolved "https://registry.yarnpkg.com/flatted/-/flatted-3.2.4.tgz#28d9969ea90661b5134259f312ab6aa7929ac5e2"
+  integrity sha512-8/sOawo8tJ4QOBX8YlQBMxL8+RLZfxMQOif9o0KUKTNTjMYElWPE0r/m5VNFxTRd0NSw8qSy8dajrwX4RYI1Hw==
+
+follow-redirects@^1.0.0:
+  version "1.14.7"
+  resolved "https://registry.yarnpkg.com/follow-redirects/-/follow-redirects-1.14.7.tgz#2004c02eb9436eee9a21446a6477debf17e81685"
+  integrity sha512-+hbxoLbFMbRKDwohX8GkTataGqO6Jb7jGwpAlwgy2bIz25XtRm7KEzJM76R1WiNT5SwZkX4Y75SwBolkpmE7iQ==
+
+format-util@1.0.5:
+  version "1.0.5"
+  resolved "https://registry.yarnpkg.com/format-util/-/format-util-1.0.5.tgz#1ffb450c8a03e7bccffe40643180918cc297d271"
+  integrity sha512-varLbTj0e0yVyRpqQhuWV+8hlePAgaoFRhNFj50BNjEIrw1/DphHSObtqwskVCPWNgzwPoQrZAbfa/SBiicNeg==
+
+fs-extra@^10.0.0:
+  version "10.0.0"
+  resolved "https://registry.yarnpkg.com/fs-extra/-/fs-extra-10.0.0.tgz#9ff61b655dde53fb34a82df84bb214ce802e17c1"
+  integrity sha512-C5owb14u9eJwizKGdchcDUQeFtlSHHthBk8pbX9Vc1PFZrLombudjDnNns88aYslCyF6IY5SUw3Roz6xShcEIQ==
+  dependencies:
+    graceful-fs "^4.2.0"
+    jsonfile "^6.0.1"
+    universalify "^2.0.0"
+
+fs.realpath@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/fs.realpath/-/fs.realpath-1.0.0.tgz#1504ad2523158caa40db4a2787cb01411994ea4f"
+  integrity sha1-FQStJSMVjKpA20onh8sBQRmU6k8=
+
+fsevents@~2.3.2:
+  version "2.3.2"
+  resolved "https://registry.yarnpkg.com/fsevents/-/fsevents-2.3.2.tgz#8a526f78b8fdf4623b709e0b975c52c24c02fd1a"
+  integrity sha512-xiqMQR4xAeHTuB9uWm+fFRcIOgKBMiOBP+eXiyT7jsgVCq1bkVygt00oASowB7EdtpOHaaPgKt812P9ab+DDKA==
+
+function-bind@^1.1.1:
+  version "1.1.1"
+  resolved "https://registry.yarnpkg.com/function-bind/-/function-bind-1.1.1.tgz#a56899d3ea3c9bab874bb9773b7c5ede92f4895d"
+  integrity sha512-yIovAzMX49sF8Yl58fSCWJ5svSLuaibPxXQJFLmBObTuCr0Mf1KiPopGM9NiFjiYBCbfaa2Fh6breQ6ANVTI0A==
+
+get-caller-file@^2.0.5:
+  version "2.0.5"
+  resolved "https://registry.yarnpkg.com/get-caller-file/-/get-caller-file-2.0.5.tgz#4f94412a82db32f36e3b0b9741f8a97feb031f7e"
+  integrity sha512-DyFP3BM/3YHTQOCUL/w0OZHR0lpKeGrxotcHWcqNEdnltqFwXVfhEBQ94eIo34AfQpo0rGki4cyIiftY06h2Fg==
+
+get-stream@^6.0.0:
+  version "6.0.1"
+  resolved "https://registry.yarnpkg.com/get-stream/-/get-stream-6.0.1.tgz#a262d8eef67aced57c2852ad6167526a43cbf7b7"
+  integrity sha512-ts6Wi+2j3jQjqi70w5AlN8DFnkSwC+MqmxEzdEALB2qXZYV3X/b1CTfgPLGJNMeAWxdPfU8FO1ms3NUfaHCPYg==
+
+glob-parent@~5.1.2:
+  version "5.1.2"
+  resolved "https://registry.yarnpkg.com/glob-parent/-/glob-parent-5.1.2.tgz#869832c58034fe68a4093c17dc15e8340d8401c4"
+  integrity sha512-AOIgSQCepiJYwP3ARnGx+5VnTu2HBYdzbGP45eLw1vr3zB3vZLeyed1sC9hnbcOc9/SrMyM5RPQrkGz4aS9Zow==
+  dependencies:
+    is-glob "^4.0.1"
+
+glob-to-regexp@^0.4.1:
+  version "0.4.1"
+  resolved "https://registry.yarnpkg.com/glob-to-regexp/-/glob-to-regexp-0.4.1.tgz#c75297087c851b9a578bd217dd59a92f59fe546e"
+  integrity sha512-lkX1HJXwyMcprw/5YUZc2s7DrpAiHB21/V+E1rHUrVNokkvB6bqMzT0VfV6/86ZNabt1k14YOIaT7nDvOX3Iiw==
+
+glob@7.1.7:
+  version "7.1.7"
+  resolved "https://registry.yarnpkg.com/glob/-/glob-7.1.7.tgz#3b193e9233f01d42d0b3f78294bbeeb418f94a90"
+  integrity sha512-OvD9ENzPLbegENnYP5UUfJIirTg4+XwMWGaQfQTY0JenxNvvIKP3U3/tAQSPIu/lHxXYSZmpXlUHeqAIdKzBLQ==
+  dependencies:
+    fs.realpath "^1.0.0"
+    inflight "^1.0.4"
+    inherits "2"
+    minimatch "^3.0.4"
+    once "^1.3.0"
+    path-is-absolute "^1.0.0"
+
+glob@^7.1.3, glob@^7.1.7:
+  version "7.2.0"
+  resolved "https://registry.yarnpkg.com/glob/-/glob-7.2.0.tgz#d15535af7732e02e948f4c41628bd910293f6023"
+  integrity sha512-lmLf6gtyrPq8tTjSmrO94wBeQbFR3HbLHbuyD69wuyQkImp2hWqMGB47OX65FBkPffO641IP9jWa1z4ivqG26Q==
+  dependencies:
+    fs.realpath "^1.0.0"
+    inflight "^1.0.4"
+    inherits "2"
+    minimatch "^3.0.4"
+    once "^1.3.0"
+    path-is-absolute "^1.0.0"
+
+google-protobuf@3.12.2:
+  version "3.12.2"
+  resolved "https://registry.yarnpkg.com/google-protobuf/-/google-protobuf-3.12.2.tgz#50ce9f9b6281235724eb243d6a83e969a2176e53"
+  integrity sha512-4CZhpuRr1d6HjlyrxoXoocoGFnRYgKULgMtikMddA9ztRyYR59Aondv2FioyxWVamRo0rF2XpYawkTCBEQOSkA==
+
+graceful-fs@^4.1.2, graceful-fs@^4.1.6, graceful-fs@^4.2.0, graceful-fs@^4.2.4, graceful-fs@^4.2.6:
+  version "4.2.9"
+  resolved "https://registry.yarnpkg.com/graceful-fs/-/graceful-fs-4.2.9.tgz#041b05df45755e587a24942279b9d113146e1c96"
+  integrity sha512-NtNxqUcXgpW2iMrfqSfR73Glt39K+BLwWsPs94yR63v45T0Wbej7eRmL5cWfwEgqXnmjQp3zaJTshdRW/qC2ZQ==
+
+growl@1.10.5:
+  version "1.10.5"
+  resolved "https://registry.yarnpkg.com/growl/-/growl-1.10.5.tgz#f2735dc2283674fa67478b10181059355c369e5e"
+  integrity sha512-qBr4OuELkhPenW6goKVXiv47US3clb3/IbuWF9KNKEijAy9oeHxU9IgzjvJhHkUzhaj7rOUD7+YGWqUjLp5oSA==
+
+has-flag@^4.0.0:
+  version "4.0.0"
+  resolved "https://registry.yarnpkg.com/has-flag/-/has-flag-4.0.0.tgz#944771fd9c81c81265c4d6941860da06bb59479b"
+  integrity sha512-EykJT/Q1KjTWctppgIAgfSO0tKVuZUjhgMr17kqTumMl6Afv3EISleU7qZUzoXDFTAHTDC4NOoG/ZxU3EvlMPQ==
+
+has@^1.0.3:
+  version "1.0.3"
+  resolved "https://registry.yarnpkg.com/has/-/has-1.0.3.tgz#722d7cbfc1f6aa8241f16dd814e011e1f41e8796"
+  integrity sha512-f2dvO0VU6Oej7RkWJGrehjbzMAjFp5/VKPp5tTpWIV4JHHZK1/BxbFRtf/siA2SWTe09caDmVtYYzWEIbBS4zw==
+  dependencies:
+    function-bind "^1.1.1"
+
+he@1.2.0:
+  version "1.2.0"
+  resolved "https://registry.yarnpkg.com/he/-/he-1.2.0.tgz#84ae65fa7eafb165fddb61566ae14baf05664f0f"
+  integrity sha512-F/1DnUGPopORZi0ni+CvrCgHQ5FyEAHRLSApuYWMmrbSwoN2Mn/7k+Gl38gJnR7yyDZk6WLXwiGod1JOWNDKGw==
+
+http-errors@1.8.1:
+  version "1.8.1"
+  resolved "https://registry.yarnpkg.com/http-errors/-/http-errors-1.8.1.tgz#7c3f28577cbc8a207388455dbd62295ed07bd68c"
+  integrity sha512-Kpk9Sm7NmI+RHhnj6OIWDI1d6fIoFAtFt9RLaTMRlg/8w49juAStsrBgp0Dp4OdxdVbRIeKhtCUvoi/RuAhO4g==
+  dependencies:
+    depd "~1.1.2"
+    inherits "2.0.4"
+    setprototypeof "1.2.0"
+    statuses ">= 1.5.0 < 2"
+    toidentifier "1.0.1"
+
+http-proxy@^1.18.1:
+  version "1.18.1"
+  resolved "https://registry.yarnpkg.com/http-proxy/-/http-proxy-1.18.1.tgz#401541f0534884bbf95260334e72f88ee3976549"
+  integrity sha512-7mz/721AbnJwIVbnaSv1Cz3Am0ZLT/UBwkC92VlxhXv/k/BBQfM2fXElQNC27BVGr0uwUpplYPQM9LnaBMR5NQ==
+  dependencies:
+    eventemitter3 "^4.0.0"
+    follow-redirects "^1.0.0"
+    requires-port "^1.0.0"
+
+human-signals@^2.1.0:
+  version "2.1.0"
+  resolved "https://registry.yarnpkg.com/human-signals/-/human-signals-2.1.0.tgz#dc91fcba42e4d06e4abaed33b3e7a3c02f514ea0"
+  integrity sha512-B4FFZ6q/T2jhhksgkbEW3HBvWIfDW85snkQgawt07S7J5QXTk6BkNV+0yAeZrM5QpMAdYlocGoljn0sJ/WQkFw==
+
+iconv-lite@0.4.24:
+  version "0.4.24"
+  resolved "https://registry.yarnpkg.com/iconv-lite/-/iconv-lite-0.4.24.tgz#2022b4b25fbddc21d2f524974a474aafe733908b"
+  integrity sha512-v3MXnZAcvnywkTUEZomIActle7RXXeedOR31wwl7VlyoXO4Qi9arvSenNQWne1TcRwhCL1HwLI21bEqdpj8/rA==
+  dependencies:
+    safer-buffer ">= 2.1.2 < 3"
+
+iconv-lite@^0.6.2:
+  version "0.6.3"
+  resolved "https://registry.yarnpkg.com/iconv-lite/-/iconv-lite-0.6.3.tgz#a52f80bf38da1952eb5c681790719871a1a72501"
+  integrity sha512-4fCk79wshMdzMp2rH06qWrJE4iolqLhCUH+OiuIgU++RB0+94NlDL81atO7GX55uUKueo0txHNtvEyI6D7WdMw==
+  dependencies:
+    safer-buffer ">= 2.1.2 < 3.0.0"
+
+icss-utils@^5.0.0, icss-utils@^5.1.0:
+  version "5.1.0"
+  resolved "https://registry.yarnpkg.com/icss-utils/-/icss-utils-5.1.0.tgz#c6be6858abd013d768e98366ae47e25d5887b1ae"
+  integrity sha512-soFhflCVWLfRNOPU3iv5Z9VUdT44xFRbzjLsEzSr5AQmgqPMTHdU3PMT1Cf1ssx8fLNJDA1juftYl+PUcv3MqA==
+
+import-local@^3.0.2:
+  version "3.1.0"
+  resolved "https://registry.yarnpkg.com/import-local/-/import-local-3.1.0.tgz#b4479df8a5fd44f6cdce24070675676063c95cb4"
+  integrity sha512-ASB07uLtnDs1o6EHjKpX34BKYDSqnFerfTOJL2HvMqF70LnxpjkzDB8J44oT9pu4AMPkQwf8jl6szgvNd2tRIg==
+  dependencies:
+    pkg-dir "^4.2.0"
+    resolve-cwd "^3.0.0"
+
+inflight@^1.0.4:
+  version "1.0.6"
+  resolved "https://registry.yarnpkg.com/inflight/-/inflight-1.0.6.tgz#49bd6331d7d02d0c09bc910a1075ba8165b56df9"
+  integrity sha1-Sb1jMdfQLQwJvJEKEHW6gWW1bfk=
+  dependencies:
+    once "^1.3.0"
+    wrappy "1"
+
+inherits@2, inherits@2.0.4:
+  version "2.0.4"
+  resolved "https://registry.yarnpkg.com/inherits/-/inherits-2.0.4.tgz#0fa2c64f932917c3433a0ded55363aae37416b7c"
+  integrity sha512-k/vGaX4/Yla3WzyMCvTQOXYeIHvqOKtnqBduzTHpzpQZzAskKMhZ2K+EnBiSM9zGSoIFeMpXKxa4dYeZIQqewQ==
+
+interpret@^2.2.0:
+  version "2.2.0"
+  resolved "https://registry.yarnpkg.com/interpret/-/interpret-2.2.0.tgz#1a78a0b5965c40a5416d007ad6f50ad27c417df9"
+  integrity sha512-Ju0Bz/cEia55xDwUWEa8+olFpCiQoypjnQySseKtmjNrnps3P+xfpUmGr90T7yjlVJmOtybRvPXhKMbHr+fWnw==
+
+is-binary-path@~2.1.0:
+  version "2.1.0"
+  resolved "https://registry.yarnpkg.com/is-binary-path/-/is-binary-path-2.1.0.tgz#ea1f7f3b80f064236e83470f86c09c254fb45b09"
+  integrity sha512-ZMERYes6pDydyuGidse7OsHxtbI7WVeUEozgR/g7rd0xUimYNlvZRE/K2MgZTjWy725IfelLeVcEM97mmtRGXw==
+  dependencies:
+    binary-extensions "^2.0.0"
+
+is-core-module@^2.8.1:
+  version "2.8.1"
+  resolved "https://registry.yarnpkg.com/is-core-module/-/is-core-module-2.8.1.tgz#f59fdfca701d5879d0a6b100a40aa1560ce27211"
+  integrity sha512-SdNCUs284hr40hFTFP6l0IfZ/RSrMXF3qgoRHd3/79unUTvrFO/JoXwkGm+5J/Oe3E/b5GsnG330uUNgRpu1PA==
+  dependencies:
+    has "^1.0.3"
+
+is-extglob@^2.1.1:
+  version "2.1.1"
+  resolved "https://registry.yarnpkg.com/is-extglob/-/is-extglob-2.1.1.tgz#a88c02535791f02ed37c76a1b9ea9773c833f8c2"
+  integrity sha1-qIwCU1eR8C7TfHahueqXc8gz+MI=
+
+is-fullwidth-code-point@^3.0.0:
+  version "3.0.0"
+  resolved "https://registry.yarnpkg.com/is-fullwidth-code-point/-/is-fullwidth-code-point-3.0.0.tgz#f116f8064fe90b3f7844a38997c0b75051269f1d"
+  integrity sha512-zymm5+u+sCsSWyD9qNaejV3DFvhCKclKdizYaJUuHA83RLjb7nSuGnddCHGv0hk+KY7BMAlsWeK4Ueg6EV6XQg==
+
+is-glob@^4.0.1, is-glob@~4.0.1:
+  version "4.0.3"
+  resolved "https://registry.yarnpkg.com/is-glob/-/is-glob-4.0.3.tgz#64f61e42cbbb2eec2071a9dac0b28ba1e65d5084"
+  integrity sha512-xelSayHH36ZgE7ZWhli7pW34hNbNl8Ojv5KVmkJD4hBdD3th8Tfk9vYasLM+mXWOZhFkgZfxhLSnrwRr4elSSg==
+  dependencies:
+    is-extglob "^2.1.1"
+
+is-number@^7.0.0:
+  version "7.0.0"
+  resolved "https://registry.yarnpkg.com/is-number/-/is-number-7.0.0.tgz#7535345b896734d5f80c4d06c50955527a14f12b"
+  integrity sha512-41Cifkg6e8TylSpdtTpeLVMqvSBEVzTttHvERD741+pnZ8ANv0004MRL43QKPDlK9cGvNp6NZWZUBlbGXYxxng==
+
+is-plain-obj@^2.1.0:
+  version "2.1.0"
+  resolved "https://registry.yarnpkg.com/is-plain-obj/-/is-plain-obj-2.1.0.tgz#45e42e37fccf1f40da8e5f76ee21515840c09287"
+  integrity sha512-YWnfyRwxL/+SsrWYfOpUtz5b3YD+nyfkHvjbcanzk8zgyO4ASD67uVMRt8k5bM4lLMDnXfriRhOpemw+NfT1eA==
+
+is-plain-object@^2.0.4:
+  version "2.0.4"
+  resolved "https://registry.yarnpkg.com/is-plain-object/-/is-plain-object-2.0.4.tgz#2c163b3fafb1b606d9d17928f05c2a1c38e07677"
+  integrity sha512-h5PpgXkWitc38BBMYawTYMWJHFZJVnBquFE57xFpjB8pJFiF6gZ+bU+WyI/yqXiFR5mdLsgYNaPe8uao6Uv9Og==
+  dependencies:
+    isobject "^3.0.1"
+
+is-stream@^2.0.0:
+  version "2.0.1"
+  resolved "https://registry.yarnpkg.com/is-stream/-/is-stream-2.0.1.tgz#fac1e3d53b97ad5a9d0ae9cef2389f5810a5c077"
+  integrity sha512-hFoiJiTl63nn+kstHGBtewWSKnQLpyb155KHheA1l39uvtO9nWIop1p3udqPcUd/xbF1VLMO4n7OI6p7RbngDg==
+
+is-unicode-supported@^0.1.0:
+  version "0.1.0"
+  resolved "https://registry.yarnpkg.com/is-unicode-supported/-/is-unicode-supported-0.1.0.tgz#3f26c76a809593b52bfa2ecb5710ed2779b522a7"
+  integrity sha512-knxG2q4UC3u8stRGyAVJCOdxFmv5DZiRcdlIaAQXAbSfJya+OhopNotLQrstBhququ4ZpuKbDc/8S6mgXgPFPw==
+
+isbinaryfile@^4.0.8:
+  version "4.0.8"
+  resolved "https://registry.yarnpkg.com/isbinaryfile/-/isbinaryfile-4.0.8.tgz#5d34b94865bd4946633ecc78a026fc76c5b11fcf"
+  integrity sha512-53h6XFniq77YdW+spoRrebh0mnmTxRPTlcuIArO57lmMdq4uBKFKaeTjnb92oYWrSn/LVL+LT+Hap2tFQj8V+w==
+
+isexe@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/isexe/-/isexe-2.0.0.tgz#e8fbf374dc556ff8947a10dcb0572d633f2cfa10"
+  integrity sha1-6PvzdNxVb/iUehDcsFctYz8s+hA=
+
+isobject@^3.0.1:
+  version "3.0.1"
+  resolved "https://registry.yarnpkg.com/isobject/-/isobject-3.0.1.tgz#4e431e92b11a9731636aa1f9c8d1ccbcfdab78df"
+  integrity sha1-TkMekrEalzFjaqH5yNHMvP2reN8=
+
+jest-worker@^27.4.1:
+  version "27.4.6"
+  resolved "https://registry.yarnpkg.com/jest-worker/-/jest-worker-27.4.6.tgz#5d2d93db419566cb680752ca0792780e71b3273e"
+  integrity sha512-gHWJF/6Xi5CTG5QCvROr6GcmpIqNYpDJyc8A1h/DyXqH1tD6SnRCM0d3U5msV31D2LB/U+E0M+W4oyvKV44oNw==
+  dependencies:
+    "@types/node" "*"
+    merge-stream "^2.0.0"
+    supports-color "^8.0.0"
+
+js-base64@3.6.1:
+  version "3.6.1"
+  resolved "https://registry.yarnpkg.com/js-base64/-/js-base64-3.6.1.tgz#555aae398b74694b4037af1f8a5a6209d170efbe"
+  integrity sha512-Frdq2+tRRGLQUIQOgsIGSCd1VePCS2fsddTG5dTCqR0JHgltXWfsxnY0gIXPoMeRmdom6Oyq+UMOFg5suduOjQ==
+
+js-yaml@4.1.0:
+  version "4.1.0"
+  resolved "https://registry.yarnpkg.com/js-yaml/-/js-yaml-4.1.0.tgz#c1fb65f8f5017901cdd2c951864ba18458a10602"
+  integrity sha512-wpxZs9NoxZaJESJGIZTyDEaYpl0FKSA+FB9aJiyemKhMwkxQg63h4T1KJgUGHpTqPDNRcmmYLugrRjJlBtWvRA==
+  dependencies:
+    argparse "^2.0.1"
+
+json-parse-better-errors@^1.0.2:
+  version "1.0.2"
+  resolved "https://registry.yarnpkg.com/json-parse-better-errors/-/json-parse-better-errors-1.0.2.tgz#bb867cfb3450e69107c131d1c514bab3dc8bcaa9"
+  integrity sha512-mrqyZKfX5EhL7hvqcV6WG1yYjnjeuYDzDhhcAAUrq8Po85NBQBJP+ZDUT75qZQ98IkUoBqdkExkukOU7Ts2wrw==
+
+json-schema-traverse@^0.4.1:
+  version "0.4.1"
+  resolved "https://registry.yarnpkg.com/json-schema-traverse/-/json-schema-traverse-0.4.1.tgz#69f6a87d9513ab8bb8fe63bdb0979c448e684660"
+  integrity sha512-xbbCH5dCYU5T8LcEhhuh7HJ88HXuW3qsI3Y0zOZFKfZEHcpWiHU/Jxzk629Brsab/mMiHQti9wMP+845RPe3Vg==
+
+jsonfile@^6.0.1:
+  version "6.1.0"
+  resolved "https://registry.yarnpkg.com/jsonfile/-/jsonfile-6.1.0.tgz#bc55b2634793c679ec6403094eb13698a6ec0aae"
+  integrity sha512-5dgndWOriYSm5cnYaJNhalLNDKOqFwyDB/rr1E9ZsGciGvKPs8R2xYGCacuf3z6K1YKDz182fd+fY3cn3pMqXQ==
+  dependencies:
+    universalify "^2.0.0"
+  optionalDependencies:
+    graceful-fs "^4.1.6"
+
+karma-chrome-launcher@3.1.0:
+  version "3.1.0"
+  resolved "https://registry.yarnpkg.com/karma-chrome-launcher/-/karma-chrome-launcher-3.1.0.tgz#805a586799a4d05f4e54f72a204979f3f3066738"
+  integrity sha512-3dPs/n7vgz1rxxtynpzZTvb9y/GIaW8xjAwcIGttLbycqoFtI7yo1NGnQi6oFTherRE+GIhCAHZC4vEqWGhNvg==
+  dependencies:
+    which "^1.2.1"
+
+karma-mocha@2.0.1:
+  version "2.0.1"
+  resolved "https://registry.yarnpkg.com/karma-mocha/-/karma-mocha-2.0.1.tgz#4b0254a18dfee71bdbe6188d9a6861bf86b0cd7d"
+  integrity sha512-Tzd5HBjm8his2OA4bouAsATYEpZrp9vC7z5E5j4C5Of5Rrs1jY67RAwXNcVmd/Bnk1wgvQRou0zGVLey44G4tQ==
+  dependencies:
+    minimist "^1.2.3"
+
+karma-sourcemap-loader@0.3.8:
+  version "0.3.8"
+  resolved "https://registry.yarnpkg.com/karma-sourcemap-loader/-/karma-sourcemap-loader-0.3.8.tgz#d4bae72fb7a8397328a62b75013d2df937bdcf9c"
+  integrity sha512-zorxyAakYZuBcHRJE+vbrK2o2JXLFWK8VVjiT/6P+ltLBUGUvqTEkUiQ119MGdOrK7mrmxXHZF1/pfT6GgIZ6g==
+  dependencies:
+    graceful-fs "^4.1.2"
+
+karma-webpack@5.0.0:
+  version "5.0.0"
+  resolved "https://registry.yarnpkg.com/karma-webpack/-/karma-webpack-5.0.0.tgz#2a2c7b80163fe7ffd1010f83f5507f95ef39f840"
+  integrity sha512-+54i/cd3/piZuP3dr54+NcFeKOPnys5QeM1IY+0SPASwrtHsliXUiCL50iW+K9WWA7RvamC4macvvQ86l3KtaA==
+  dependencies:
+    glob "^7.1.3"
+    minimatch "^3.0.4"
+    webpack-merge "^4.1.5"
+
+karma@6.3.4:
+  version "6.3.4"
+  resolved "https://registry.yarnpkg.com/karma/-/karma-6.3.4.tgz#359899d3aab3d6b918ea0f57046fd2a6b68565e6"
+  integrity sha512-hbhRogUYIulfkBTZT7xoPrCYhRBnBoqbbL4fszWD0ReFGUxU+LYBr3dwKdAluaDQ/ynT9/7C+Lf7pPNW4gSx4Q==
+  dependencies:
+    body-parser "^1.19.0"
+    braces "^3.0.2"
+    chokidar "^3.5.1"
+    colors "^1.4.0"
+    connect "^3.7.0"
+    di "^0.0.1"
+    dom-serialize "^2.2.1"
+    glob "^7.1.7"
+    graceful-fs "^4.2.6"
+    http-proxy "^1.18.1"
+    isbinaryfile "^4.0.8"
+    lodash "^4.17.21"
+    log4js "^6.3.0"
+    mime "^2.5.2"
+    minimatch "^3.0.4"
+    qjobs "^1.2.0"
+    range-parser "^1.2.1"
+    rimraf "^3.0.2"
+    socket.io "^3.1.0"
+    source-map "^0.6.1"
+    tmp "^0.2.1"
+    ua-parser-js "^0.7.28"
+    yargs "^16.1.1"
+
+kind-of@^6.0.2:
+  version "6.0.3"
+  resolved "https://registry.yarnpkg.com/kind-of/-/kind-of-6.0.3.tgz#07c05034a6c349fa06e24fa35aa76db4580ce4dd"
+  integrity sha512-dcS1ul+9tmeD95T+x28/ehLgd9mENa3LsvDTtzm3vyBEO7RPptvAD+t44WVXaUjTBRcrpFeFlC8WCruUR456hw==
+
+loader-runner@^4.2.0:
+  version "4.2.0"
+  resolved "https://registry.yarnpkg.com/loader-runner/-/loader-runner-4.2.0.tgz#d7022380d66d14c5fb1d496b89864ebcfd478384"
+  integrity sha512-92+huvxMvYlMzMt0iIOukcwYBFpkYJdpl2xsZ7LrlayO7E8SOv+JJUEK17B/dJIHAOLMfh2dZZ/Y18WgmGtYNw==
+
+locate-path@^5.0.0:
+  version "5.0.0"
+  resolved "https://registry.yarnpkg.com/locate-path/-/locate-path-5.0.0.tgz#1afba396afd676a6d42504d0a67a3a7eb9f62aa0"
+  integrity sha512-t7hw9pI+WvuwNJXwk5zVHpyhIqzg2qTlklJOf0mVxGSbe3Fp2VieZcduNYjaLDoy6p9uGpQEGWG87WpMKlNq8g==
+  dependencies:
+    p-locate "^4.1.0"
+
+locate-path@^6.0.0:
+  version "6.0.0"
+  resolved "https://registry.yarnpkg.com/locate-path/-/locate-path-6.0.0.tgz#55321eb309febbc59c4801d931a72452a681d286"
+  integrity sha512-iPZK6eYjbxRu3uB4/WZ3EsEIMJFMqAoopl3R+zuq0UjcAm/MO6KCweDgPfP3elTztoKP3KtnVHxTn2NHBSDVUw==
+  dependencies:
+    p-locate "^5.0.0"
+
+lodash@^4.17.15, lodash@^4.17.21, lodash@^4.17.4:
+  version "4.17.21"
+  resolved "https://registry.yarnpkg.com/lodash/-/lodash-4.17.21.tgz#679591c564c3bffaae8454cf0b3df370c3d6911c"
+  integrity sha512-v2kDEe57lecTulaDIuNTPy3Ry4gLGJ6Z1O3vE1krgXZNrsQ+LFTGHVxVjcXPs17LhbZVGedAJv8XZ1tvj5FvSg==
+
+log-symbols@4.1.0:
+  version "4.1.0"
+  resolved "https://registry.yarnpkg.com/log-symbols/-/log-symbols-4.1.0.tgz#3fbdbb95b4683ac9fc785111e792e558d4abd503"
+  integrity sha512-8XPvpAA8uyhfteu8pIvQxpJZ7SYYdpUivZpGy6sFsBuKRY/7rQGavedeB8aK+Zkyq6upMFVL/9AW6vOYzfRyLg==
+  dependencies:
+    chalk "^4.1.0"
+    is-unicode-supported "^0.1.0"
+
+log4js@^6.3.0:
+  version "6.4.1"
+  resolved "https://registry.yarnpkg.com/log4js/-/log4js-6.4.1.tgz#9d3a8bf2c31c1e213fe3fc398a6053f7a2bc53e8"
+  integrity sha512-iUiYnXqAmNKiIZ1XSAitQ4TmNs8CdZYTAWINARF3LjnsLN8tY5m0vRwd6uuWj/yNY0YHxeZodnbmxKFUOM2rMg==
+  dependencies:
+    date-format "^4.0.3"
+    debug "^4.3.3"
+    flatted "^3.2.4"
+    rfdc "^1.3.0"
+    streamroller "^3.0.2"
+
+lru-cache@^6.0.0:
+  version "6.0.0"
+  resolved "https://registry.yarnpkg.com/lru-cache/-/lru-cache-6.0.0.tgz#6d6fe6570ebd96aaf90fcad1dafa3b2566db3a94"
+  integrity sha512-Jo6dJ04CmSjuznwJSS3pUeWmd/H0ffTlkXXgwZi+eq1UCmqQwCh+eLsYOYCwY991i2Fah4h1BEMCx4qThGbsiA==
+  dependencies:
+    yallist "^4.0.0"
+
+media-typer@0.3.0:
+  version "0.3.0"
+  resolved "https://registry.yarnpkg.com/media-typer/-/media-typer-0.3.0.tgz#8710d7af0aa626f8fffa1ce00168545263255748"
+  integrity sha1-hxDXrwqmJvj/+hzgAWhUUmMlV0g=
+
+merge-stream@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/merge-stream/-/merge-stream-2.0.0.tgz#52823629a14dd00c9770fb6ad47dc6310f2c1f60"
+  integrity sha512-abv/qOcuPfk3URPfDzmZU1LKmuw8kT+0nIHvKrKgFrwifol/doWcdA4ZqsWQ8ENrFKkd67Mfpo/LovbIUsbt3w==
+
+mime-db@1.51.0:
+  version "1.51.0"
+  resolved "https://registry.yarnpkg.com/mime-db/-/mime-db-1.51.0.tgz#d9ff62451859b18342d960850dc3cfb77e63fb0c"
+  integrity sha512-5y8A56jg7XVQx2mbv1lu49NR4dokRnhZYTtL+KGfaa27uq4pSTXkwQkFJl4pkRMyNFz/EtYDSkiiEHx3F7UN6g==
+
+mime-types@^2.1.27, mime-types@~2.1.24:
+  version "2.1.34"
+  resolved "https://registry.yarnpkg.com/mime-types/-/mime-types-2.1.34.tgz#5a712f9ec1503511a945803640fafe09d3793c24"
+  integrity sha512-6cP692WwGIs9XXdOO4++N+7qjqv0rqxxVvJ3VHPh/Sc9mVZcQP+ZGhkKiTvWMQRr2tbHkJP/Yn7Y0npb3ZBs4A==
+  dependencies:
+    mime-db "1.51.0"
+
+mime@^2.5.2:
+  version "2.6.0"
+  resolved "https://registry.yarnpkg.com/mime/-/mime-2.6.0.tgz#a2a682a95cd4d0cb1d6257e28f83da7e35800367"
+  integrity sha512-USPkMeET31rOMiarsBNIHZKLGgvKc/LrjofAnBlOttf5ajRvqiRA8QsenbcooctK6d6Ts6aqZXBA+XbkKthiQg==
+
+mimic-fn@^2.1.0:
+  version "2.1.0"
+  resolved "https://registry.yarnpkg.com/mimic-fn/-/mimic-fn-2.1.0.tgz#7ed2c2ccccaf84d3ffcb7a69b57711fc2083401b"
+  integrity sha512-OqbOk5oEQeAZ8WXWydlu9HJjz9WVdEIvamMCcXmuqUYjTknH/sqsWvhQ3vgwKFRR1HpjvNBKQ37nbJgYzGqGcg==
+
+minimatch@3.0.4, minimatch@^3.0.4:
+  version "3.0.4"
+  resolved "https://registry.yarnpkg.com/minimatch/-/minimatch-3.0.4.tgz#5166e286457f03306064be5497e8dbb0c3d32083"
+  integrity sha512-yJHVQEhyqPLUTgt9B83PXu6W3rx4MvvHvSUvToogpwoGDOUQ+yDrR0HRot+yOCdCO7u4hX3pWft6kWBBcqh0UA==
+  dependencies:
+    brace-expansion "^1.1.7"
+
+minimist@^1.2.3:
+  version "1.2.5"
+  resolved "https://registry.yarnpkg.com/minimist/-/minimist-1.2.5.tgz#67d66014b66a6a8aaa0c083c5fd58df4e4e97602"
+  integrity sha512-FM9nNUYrRBAELZQT3xeZQ7fmMOBg6nWNmJKTcgsJeaLstP/UODVpGsr5OhXhhXg6f+qtJ8uiZ+PUxkDWcgIXLw==
+
+mocha@9.1.2:
+  version "9.1.2"
+  resolved "https://registry.yarnpkg.com/mocha/-/mocha-9.1.2.tgz#93f53175b0f0dc4014bd2d612218fccfcf3534d3"
+  integrity sha512-ta3LtJ+63RIBP03VBjMGtSqbe6cWXRejF9SyM9Zyli1CKZJZ+vfCTj3oW24V7wAphMJdpOFLoMI3hjJ1LWbs0w==
+  dependencies:
+    "@ungap/promise-all-settled" "1.1.2"
+    ansi-colors "4.1.1"
+    browser-stdout "1.3.1"
+    chokidar "3.5.2"
+    debug "4.3.2"
+    diff "5.0.0"
+    escape-string-regexp "4.0.0"
+    find-up "5.0.0"
+    glob "7.1.7"
+    growl "1.10.5"
+    he "1.2.0"
+    js-yaml "4.1.0"
+    log-symbols "4.1.0"
+    minimatch "3.0.4"
+    ms "2.1.3"
+    nanoid "3.1.25"
+    serialize-javascript "6.0.0"
+    strip-json-comments "3.1.1"
+    supports-color "8.1.1"
+    which "2.0.2"
+    workerpool "6.1.5"
+    yargs "16.2.0"
+    yargs-parser "20.2.4"
+    yargs-unparser "2.0.0"
+
+ms@2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/ms/-/ms-2.0.0.tgz#5608aeadfc00be6c2901df5f9861788de0d597c8"
+  integrity sha1-VgiurfwAvmwpAd9fmGF4jeDVl8g=
+
+ms@2.1.2:
+  version "2.1.2"
+  resolved "https://registry.yarnpkg.com/ms/-/ms-2.1.2.tgz#d09d1f357b443f493382a8eb3ccd183872ae6009"
+  integrity sha512-sGkPx+VjMtmA6MX27oA4FBFELFCZZ4S4XqeGOXCv68tT+jb3vk/RyaKWP0PTKyWtmLSM0b+adUTEvbs1PEaH2w==
+
+ms@2.1.3:
+  version "2.1.3"
+  resolved "https://registry.yarnpkg.com/ms/-/ms-2.1.3.tgz#574c8138ce1d2b5861f0b44579dbadd60c6615b2"
+  integrity sha512-6FlzubTLZG3J2a/NVCAleEhjzq5oxgHyaCU9yYXvcLsvoVaHJq/s5xXI6/XXP6tz7R9xAOtHnSO/tXtF3WRTlA==
+
+nanoid@3.1.25:
+  version "3.1.25"
+  resolved "https://registry.yarnpkg.com/nanoid/-/nanoid-3.1.25.tgz#09ca32747c0e543f0e1814b7d3793477f9c8e152"
+  integrity sha512-rdwtIXaXCLFAQbnfqDRnI6jaRHp9fTcYBjtFKE8eezcZ7LuLjhUaQGNeMXf1HmRoCH32CLz6XwX0TtxEOS/A3Q==
+
+nanoid@^3.1.30:
+  version "3.2.0"
+  resolved "https://registry.yarnpkg.com/nanoid/-/nanoid-3.2.0.tgz#62667522da6673971cca916a6d3eff3f415ff80c"
+  integrity sha512-fmsZYa9lpn69Ad5eDn7FMcnnSR+8R34W9qJEijxYhTbfOWzr22n1QxCMzXLK+ODyW2973V3Fux959iQoUxzUIA==
+
+negotiator@0.6.2:
+  version "0.6.2"
+  resolved "https://registry.yarnpkg.com/negotiator/-/negotiator-0.6.2.tgz#feacf7ccf525a77ae9634436a64883ffeca346fb"
+  integrity sha512-hZXc7K2e+PgeI1eDBe/10Ard4ekbfrrqG8Ep+8Jmf4JID2bNg7NvCPOZN+kfF574pFQI7mum2AUqDidoKqcTOw==
+
+neo-async@^2.6.2:
+  version "2.6.2"
+  resolved "https://registry.yarnpkg.com/neo-async/-/neo-async-2.6.2.tgz#b4aafb93e3aeb2d8174ca53cf163ab7d7308305f"
+  integrity sha512-Yd3UES5mWCSqR+qNT93S3UoYUkqAZ9lLg8a7g9rimsWmYGK8cVToA4/sF3RrshdyV3sAGMXVUmpMYOw+dLpOuw==
+
+node-releases@^2.0.1:
+  version "2.0.1"
+  resolved "https://registry.yarnpkg.com/node-releases/-/node-releases-2.0.1.tgz#3d1d395f204f1f2f29a54358b9fb678765ad2fc5"
+  integrity sha512-CqyzN6z7Q6aMeF/ktcMVTzhAHCEpf8SOarwpzpf8pNBY2k5/oM34UHldUwp8VKI7uxct2HxSRdJjBaZeESzcxA==
+
+normalize-path@^3.0.0, normalize-path@~3.0.0:
+  version "3.0.0"
+  resolved "https://registry.yarnpkg.com/normalize-path/-/normalize-path-3.0.0.tgz#0dcd69ff23a1c9b11fd0978316644a0388216a65"
+  integrity sha512-6eZs5Ls3WtCisHWp9S2GUy8dqkpGi4BVSz3GaqiE6ezub0512ESztXUwUB6C6IKbQkY2Pnb/mD4WYojCRwcwLA==
+
+npm-run-path@^4.0.1:
+  version "4.0.1"
+  resolved "https://registry.yarnpkg.com/npm-run-path/-/npm-run-path-4.0.1.tgz#b7ecd1e5ed53da8e37a55e1c2269e0b97ed748ea"
+  integrity sha512-S48WzZW777zhNIrn7gxOlISNAqi9ZC/uQFnRdbeIHhZhCA6UqpkOT8T1G7BvfdgP4Er8gF4sUbaS0i7QvIfCWw==
+  dependencies:
+    path-key "^3.0.0"
+
+object-assign@^4:
+  version "4.1.1"
+  resolved "https://registry.yarnpkg.com/object-assign/-/object-assign-4.1.1.tgz#2109adc7965887cfc05cbbd442cac8bfbb360863"
+  integrity sha1-IQmtx5ZYh8/AXLvUQsrIv7s2CGM=
+
+on-finished@~2.3.0:
+  version "2.3.0"
+  resolved "https://registry.yarnpkg.com/on-finished/-/on-finished-2.3.0.tgz#20f1336481b083cd75337992a16971aa2d906947"
+  integrity sha1-IPEzZIGwg811M3mSoWlxqi2QaUc=
+  dependencies:
+    ee-first "1.1.1"
+
+once@^1.3.0:
+  version "1.4.0"
+  resolved "https://registry.yarnpkg.com/once/-/once-1.4.0.tgz#583b1aa775961d4b113ac17d9c50baef9dd76bd1"
+  integrity sha1-WDsap3WWHUsROsF9nFC6753Xa9E=
+  dependencies:
+    wrappy "1"
+
+onetime@^5.1.2:
+  version "5.1.2"
+  resolved "https://registry.yarnpkg.com/onetime/-/onetime-5.1.2.tgz#d0e96ebb56b07476df1dd9c4806e5237985ca45e"
+  integrity sha512-kbpaSSGJTWdAY5KPVeMOKXSrPtr8C8C7wodJbcsd51jRnmD+GZu8Y0VoU6Dm5Z4vWr0Ig/1NKuWRKf7j5aaYSg==
+  dependencies:
+    mimic-fn "^2.1.0"
+
+p-limit@^2.2.0:
+  version "2.3.0"
+  resolved "https://registry.yarnpkg.com/p-limit/-/p-limit-2.3.0.tgz#3dd33c647a214fdfffd835933eb086da0dc21db1"
+  integrity sha512-//88mFWSJx8lxCzwdAABTJL2MyWB12+eIY7MDL2SqLmAkeKU9qxRvWuSyTjm3FUmpBEMuFfckAIqEaVGUDxb6w==
+  dependencies:
+    p-try "^2.0.0"
+
+p-limit@^3.0.2:
+  version "3.1.0"
+  resolved "https://registry.yarnpkg.com/p-limit/-/p-limit-3.1.0.tgz#e1daccbe78d0d1388ca18c64fea38e3e57e3706b"
+  integrity sha512-TYOanM3wGwNGsZN2cVTYPArw454xnXj5qmWF1bEoAc4+cU/ol7GVh7odevjp1FNHduHc3KZMcFduxU5Xc6uJRQ==
+  dependencies:
+    yocto-queue "^0.1.0"
+
+p-locate@^4.1.0:
+  version "4.1.0"
+  resolved "https://registry.yarnpkg.com/p-locate/-/p-locate-4.1.0.tgz#a3428bb7088b3a60292f66919278b7c297ad4f07"
+  integrity sha512-R79ZZ/0wAxKGu3oYMlz8jy/kbhsNrS7SKZ7PxEHBgJ5+F2mtFW2fK2cOtBh1cHYkQsbzFV7I+EoRKe6Yt0oK7A==
+  dependencies:
+    p-limit "^2.2.0"
+
+p-locate@^5.0.0:
+  version "5.0.0"
+  resolved "https://registry.yarnpkg.com/p-locate/-/p-locate-5.0.0.tgz#83c8315c6785005e3bd021839411c9e110e6d834"
+  integrity sha512-LaNjtRWUBY++zB5nE/NwcaoMylSPk+S+ZHNB1TzdbMJMny6dynpAGt7X/tl/QYq3TIeE6nxHppbo2LGymrG5Pw==
+  dependencies:
+    p-limit "^3.0.2"
+
+p-try@^2.0.0:
+  version "2.2.0"
+  resolved "https://registry.yarnpkg.com/p-try/-/p-try-2.2.0.tgz#cb2868540e313d61de58fafbe35ce9004d5540e6"
+  integrity sha512-R4nPAVTAU0B9D35/Gk3uJf/7XYbQcyohSKdvAxIRSNghFl4e71hVoGnBNQz9cWaXxO2I10KTC+3jMdvvoKw6dQ==
+
+parseurl@~1.3.3:
+  version "1.3.3"
+  resolved "https://registry.yarnpkg.com/parseurl/-/parseurl-1.3.3.tgz#9da19e7bee8d12dff0513ed5b76957793bc2e8d4"
+  integrity sha512-CiyeOxFT/JZyN5m0z9PfXw4SCBJ6Sygz1Dpl0wqjlhDEGGBP1GnsUVEL0p63hoG1fcj3fHynXi9NYO4nWOL+qQ==
+
+path-exists@^4.0.0:
+  version "4.0.0"
+  resolved "https://registry.yarnpkg.com/path-exists/-/path-exists-4.0.0.tgz#513bdbe2d3b95d7762e8c1137efa195c6c61b5b3"
+  integrity sha512-ak9Qy5Q7jYb2Wwcey5Fpvg2KoAc/ZIhLSLOSBmRmygPsGwkVVt0fZa0qrtMz+m6tJTAHfZQ8FnmB4MG4LWy7/w==
+
+path-is-absolute@^1.0.0:
+  version "1.0.1"
+  resolved "https://registry.yarnpkg.com/path-is-absolute/-/path-is-absolute-1.0.1.tgz#174b9268735534ffbc7ace6bf53a5a9e1b5c5f5f"
+  integrity sha1-F0uSaHNVNP+8es5r9TpanhtcX18=
+
+path-key@^3.0.0, path-key@^3.1.0:
+  version "3.1.1"
+  resolved "https://registry.yarnpkg.com/path-key/-/path-key-3.1.1.tgz#581f6ade658cbba65a0d3380de7753295054f375"
+  integrity sha512-ojmeN0qd+y0jszEtoY48r0Peq5dwMEkIlCOu6Q5f41lfkswXuKtYrhgoTpLnyIcHm24Uhqx+5Tqm2InSwLhE6Q==
+
+path-parse@^1.0.7:
+  version "1.0.7"
+  resolved "https://registry.yarnpkg.com/path-parse/-/path-parse-1.0.7.tgz#fbc114b60ca42b30d9daf5858e4bd68bbedb6735"
+  integrity sha512-LDJzPVEEEPR+y48z93A0Ed0yXb8pAByGWo/k5YYdYgpY2/2EsOsksJrq7lOHxryrVOn1ejG6oAp8ahvOIQD8sw==
+
+picocolors@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/picocolors/-/picocolors-1.0.0.tgz#cb5bdc74ff3f51892236eaf79d68bc44564ab81c"
+  integrity sha512-1fygroTLlHu66zi26VoTDv8yRgm0Fccecssto+MhsZ0D/DGW2sm8E8AjW7NU5VVTRt5GxbeZ5qBuJr+HyLYkjQ==
+
+picomatch@^2.0.4, picomatch@^2.2.1:
+  version "2.3.1"
+  resolved "https://registry.yarnpkg.com/picomatch/-/picomatch-2.3.1.tgz#3ba3833733646d9d3e4995946c1365a67fb07a42"
+  integrity sha512-JU3teHTNjmE2VCGFzuY8EXzCDVwEqB2a8fsIvwaStHhAWJEeVd1o1QD80CU6+ZdEXXSLbSsuLwJjkCBWqRQUVA==
+
+pkg-dir@^4.2.0:
+  version "4.2.0"
+  resolved "https://registry.yarnpkg.com/pkg-dir/-/pkg-dir-4.2.0.tgz#f099133df7ede422e81d1d8448270eeb3e4261f3"
+  integrity sha512-HRDzbaKjC+AOWVXxAU/x54COGeIv9eb+6CkDSQoNTt4XyWoIJvuPsXizxu/Fr23EiekbtZwmh1IcIG/l/a10GQ==
+  dependencies:
+    find-up "^4.0.0"
+
+platform@^1.3.3:
+  version "1.3.6"
+  resolved "https://registry.yarnpkg.com/platform/-/platform-1.3.6.tgz#48b4ce983164b209c2d45a107adb31f473a6e7a7"
+  integrity sha512-fnWVljUchTro6RiCFvCXBbNhJc2NijN7oIQxbwsyL0buWJPG85v81ehlHI9fXrJsMNgTofEoWIQeClKpgxFLrg==
+
+postcss-modules-extract-imports@^3.0.0:
+  version "3.0.0"
+  resolved "https://registry.yarnpkg.com/postcss-modules-extract-imports/-/postcss-modules-extract-imports-3.0.0.tgz#cda1f047c0ae80c97dbe28c3e76a43b88025741d"
+  integrity sha512-bdHleFnP3kZ4NYDhuGlVK+CMrQ/pqUm8bx/oGL93K6gVwiclvX5x0n76fYMKuIGKzlABOy13zsvqjb0f92TEXw==
+
+postcss-modules-local-by-default@^4.0.0:
+  version "4.0.0"
+  resolved "https://registry.yarnpkg.com/postcss-modules-local-by-default/-/postcss-modules-local-by-default-4.0.0.tgz#ebbb54fae1598eecfdf691a02b3ff3b390a5a51c"
+  integrity sha512-sT7ihtmGSF9yhm6ggikHdV0hlziDTX7oFoXtuVWeDd3hHObNkcHRo9V3yg7vCAY7cONyxJC/XXCmmiHHcvX7bQ==
+  dependencies:
+    icss-utils "^5.0.0"
+    postcss-selector-parser "^6.0.2"
+    postcss-value-parser "^4.1.0"
+
+postcss-modules-scope@^3.0.0:
+  version "3.0.0"
+  resolved "https://registry.yarnpkg.com/postcss-modules-scope/-/postcss-modules-scope-3.0.0.tgz#9ef3151456d3bbfa120ca44898dfca6f2fa01f06"
+  integrity sha512-hncihwFA2yPath8oZ15PZqvWGkWf+XUfQgUGamS4LqoP1anQLOsOJw0vr7J7IwLpoY9fatA2qiGUGmuZL0Iqlg==
+  dependencies:
+    postcss-selector-parser "^6.0.4"
+
+postcss-modules-values@^4.0.0:
+  version "4.0.0"
+  resolved "https://registry.yarnpkg.com/postcss-modules-values/-/postcss-modules-values-4.0.0.tgz#d7c5e7e68c3bb3c9b27cbf48ca0bb3ffb4602c9c"
+  integrity sha512-RDxHkAiEGI78gS2ofyvCsu7iycRv7oqw5xMWn9iMoR0N/7mf9D50ecQqUo5BZ9Zh2vH4bCUR/ktCqbB9m8vJjQ==
+  dependencies:
+    icss-utils "^5.0.0"
+
+postcss-selector-parser@^6.0.2, postcss-selector-parser@^6.0.4:
+  version "6.0.9"
+  resolved "https://registry.yarnpkg.com/postcss-selector-parser/-/postcss-selector-parser-6.0.9.tgz#ee71c3b9ff63d9cd130838876c13a2ec1a992b2f"
+  integrity sha512-UO3SgnZOVTwu4kyLR22UQ1xZh086RyNZppb7lLAKBFK8a32ttG5i87Y/P3+2bRSjZNyJ1B7hfFNo273tKe9YxQ==
+  dependencies:
+    cssesc "^3.0.0"
+    util-deprecate "^1.0.2"
+
+postcss-value-parser@^4.1.0:
+  version "4.2.0"
+  resolved "https://registry.yarnpkg.com/postcss-value-parser/-/postcss-value-parser-4.2.0.tgz#723c09920836ba6d3e5af019f92bc0971c02e514"
+  integrity sha512-1NNCs6uurfkVbeXG4S8JFT9t19m45ICnif8zWLd5oPSZ50QnwMfK+H3jv408d4jw/7Bttv5axS5IiHoLaVNHeQ==
+
+postcss@^8.2.15:
+  version "8.4.5"
+  resolved "https://registry.yarnpkg.com/postcss/-/postcss-8.4.5.tgz#bae665764dfd4c6fcc24dc0fdf7e7aa00cc77f95"
+  integrity sha512-jBDboWM8qpaqwkMwItqTQTiFikhs/67OYVvblFFTM7MrZjt6yMKd6r2kgXizEbTTljacm4NldIlZnhbjr84QYg==
+  dependencies:
+    nanoid "^3.1.30"
+    picocolors "^1.0.0"
+    source-map-js "^1.0.1"
+
+punycode@^2.1.0:
+  version "2.1.1"
+  resolved "https://registry.yarnpkg.com/punycode/-/punycode-2.1.1.tgz#b58b010ac40c22c5657616c8d2c2c02c7bf479ec"
+  integrity sha512-XRsRjdf+j5ml+y/6GKHPZbrF/8p2Yga0JPtdqTIY2Xe5ohJPD9saDJJLPvp9+NSBprVvevdXZybnj2cv8OEd0A==
+
+qjobs@^1.2.0:
+  version "1.2.0"
+  resolved "https://registry.yarnpkg.com/qjobs/-/qjobs-1.2.0.tgz#c45e9c61800bd087ef88d7e256423bdd49e5d071"
+  integrity sha512-8YOJEHtxpySA3fFDyCRxA+UUV+fA+rTWnuWvylOK/NCjhY+b4ocCtmu8TtsWb+mYeU+GCHf/S66KZF/AsteKHg==
+
+qs@6.9.6:
+  version "6.9.6"
+  resolved "https://registry.yarnpkg.com/qs/-/qs-6.9.6.tgz#26ed3c8243a431b2924aca84cc90471f35d5a0ee"
+  integrity sha512-TIRk4aqYLNoJUbd+g2lEdz5kLWIuTMRagAXxl78Q0RiVjAOugHmeKNGdd3cwo/ktpf9aL9epCfFqWDEKysUlLQ==
+
+randombytes@^2.1.0:
+  version "2.1.0"
+  resolved "https://registry.yarnpkg.com/randombytes/-/randombytes-2.1.0.tgz#df6f84372f0270dc65cdf6291349ab7a473d4f2a"
+  integrity sha512-vYl3iOX+4CKUWuxGi9Ukhie6fsqXqS9FE2Zaic4tNFD2N2QQaXOMFbuKK4QmDHC0JO6B1Zp41J0LpT0oR68amQ==
+  dependencies:
+    safe-buffer "^5.1.0"
+
+range-parser@^1.2.1:
+  version "1.2.1"
+  resolved "https://registry.yarnpkg.com/range-parser/-/range-parser-1.2.1.tgz#3cf37023d199e1c24d1a55b84800c2f3e6468031"
+  integrity sha512-Hrgsx+orqoygnmhFbKaHE6c296J+HTAQXoxEF6gNupROmmGJRoyzfG3ccAveqCBrwr/2yxQ5BVd/GTl5agOwSg==
+
+raw-body@2.4.2:
+  version "2.4.2"
+  resolved "https://registry.yarnpkg.com/raw-body/-/raw-body-2.4.2.tgz#baf3e9c21eebced59dd6533ac872b71f7b61cb32"
+  integrity sha512-RPMAFUJP19WIet/99ngh6Iv8fzAbqum4Li7AD6DtGaW2RpMB/11xDoalPiJMTbu6I3hkbMVkATvZrqb9EEqeeQ==
+  dependencies:
+    bytes "3.1.1"
+    http-errors "1.8.1"
+    iconv-lite "0.4.24"
+    unpipe "1.0.0"
+
+readdirp@~3.6.0:
+  version "3.6.0"
+  resolved "https://registry.yarnpkg.com/readdirp/-/readdirp-3.6.0.tgz#74a370bd857116e245b29cc97340cd431a02a6c7"
+  integrity sha512-hOS089on8RduqdbhvQ5Z37A0ESjsqz6qnRcffsMU3495FuTdqSm+7bhJ29JvIOsBDEEnan5DPu9t3To9VRlMzA==
+  dependencies:
+    picomatch "^2.2.1"
+
+rechoir@^0.7.0:
+  version "0.7.1"
+  resolved "https://registry.yarnpkg.com/rechoir/-/rechoir-0.7.1.tgz#9478a96a1ca135b5e88fc027f03ee92d6c645686"
+  integrity sha512-/njmZ8s1wVeR6pjTZ+0nCnv8SpZNRMT2D1RLOJQESlYFDBvwpTA4KWJpZ+sBJ4+vhjILRcK7JIFdGCdxEAAitg==
+  dependencies:
+    resolve "^1.9.0"
+
+require-directory@^2.1.1:
+  version "2.1.1"
+  resolved "https://registry.yarnpkg.com/require-directory/-/require-directory-2.1.1.tgz#8c64ad5fd30dab1c976e2344ffe7f792a6a6df42"
+  integrity sha1-jGStX9MNqxyXbiNE/+f3kqam30I=
+
+requires-port@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/requires-port/-/requires-port-1.0.0.tgz#925d2601d39ac485e091cf0da5c6e694dc3dcaff"
+  integrity sha1-kl0mAdOaxIXgkc8NpcbmlNw9yv8=
+
+resolve-cwd@^3.0.0:
+  version "3.0.0"
+  resolved "https://registry.yarnpkg.com/resolve-cwd/-/resolve-cwd-3.0.0.tgz#0f0075f1bb2544766cf73ba6a6e2adfebcb13f2d"
+  integrity sha512-OrZaX2Mb+rJCpH/6CpSqt9xFVpN++x01XnN2ie9g6P5/3xelLAkXWVADpdz1IHD/KFfEXyE6V0U01OQ3UO2rEg==
+  dependencies:
+    resolve-from "^5.0.0"
+
+resolve-from@^5.0.0:
+  version "5.0.0"
+  resolved "https://registry.yarnpkg.com/resolve-from/-/resolve-from-5.0.0.tgz#c35225843df8f776df21c57557bc087e9dfdfc69"
+  integrity sha512-qYg9KP24dD5qka9J47d0aVky0N+b4fTU89LN9iDnjB5waksiC49rvMB0PrUJQGoTmH50XPiqOvAjDfaijGxYZw==
+
+resolve@^1.9.0:
+  version "1.22.0"
+  resolved "https://registry.yarnpkg.com/resolve/-/resolve-1.22.0.tgz#5e0b8c67c15df57a89bdbabe603a002f21731198"
+  integrity sha512-Hhtrw0nLeSrFQ7phPp4OOcVjLPIeMnRlr5mcnVuMe7M/7eBn98A3hmFRLoFo3DLZkivSYwhRUJTyPyWAk56WLw==
+  dependencies:
+    is-core-module "^2.8.1"
+    path-parse "^1.0.7"
+    supports-preserve-symlinks-flag "^1.0.0"
+
+rfdc@^1.3.0:
+  version "1.3.0"
+  resolved "https://registry.yarnpkg.com/rfdc/-/rfdc-1.3.0.tgz#d0b7c441ab2720d05dc4cf26e01c89631d9da08b"
+  integrity sha512-V2hovdzFbOi77/WajaSMXk2OLm+xNIeQdMMuB7icj7bk6zi2F8GGAxigcnDFpJHbNyNcgyJDiP+8nOrY5cZGrA==
+
+rimraf@^3.0.0, rimraf@^3.0.2:
+  version "3.0.2"
+  resolved "https://registry.yarnpkg.com/rimraf/-/rimraf-3.0.2.tgz#f1a5402ba6220ad52cc1282bac1ae3aa49fd061a"
+  integrity sha512-JZkJMZkAGFFPP2YqXZXPbMlMBgsxzE8ILs4lMIX/2o0L9UBw9O/Y3o6wFw/i9YLapcUJWwqbi3kdxIPdC62TIA==
+  dependencies:
+    glob "^7.1.3"
+
+safe-buffer@^5.1.0:
+  version "5.2.1"
+  resolved "https://registry.yarnpkg.com/safe-buffer/-/safe-buffer-5.2.1.tgz#1eaf9fa9bdb1fdd4ec75f58f9cdb4e6b7827eec6"
+  integrity sha512-rp3So07KcdmmKbGvgaNxQSJr7bGVSVk5S9Eq1F+ppbRo70+YeaDxkw5Dd8NPN+GD6bjnYm2VuPuCXmpuYvmCXQ==
+
+"safer-buffer@>= 2.1.2 < 3", "safer-buffer@>= 2.1.2 < 3.0.0":
+  version "2.1.2"
+  resolved "https://registry.yarnpkg.com/safer-buffer/-/safer-buffer-2.1.2.tgz#44fa161b0187b9549dd84bb91802f9bd8385cd6a"
+  integrity sha512-YZo3K82SD7Riyi0E1EQPojLz7kpepnSQI9IyPbHHg1XXXevb5dJI7tpyN2ADxGcQbHG7vcyRHk0cbwqcQriUtg==
+
+schema-utils@^3.1.0, schema-utils@^3.1.1:
+  version "3.1.1"
+  resolved "https://registry.yarnpkg.com/schema-utils/-/schema-utils-3.1.1.tgz#bc74c4b6b6995c1d88f76a8b77bea7219e0c8281"
+  integrity sha512-Y5PQxS4ITlC+EahLuXaY86TXfR7Dc5lw294alXOq86JAHCihAIZfqv8nNCWvaEJvaC51uN9hbLGeV0cFBdH+Fw==
+  dependencies:
+    "@types/json-schema" "^7.0.8"
+    ajv "^6.12.5"
+    ajv-keywords "^3.5.2"
+
+semver@^7.3.5:
+  version "7.3.5"
+  resolved "https://registry.yarnpkg.com/semver/-/semver-7.3.5.tgz#0b621c879348d8998e4b0e4be94b3f12e6018ef7"
+  integrity sha512-PoeGJYh8HK4BTO/a9Tf6ZG3veo/A7ZVsYrSA6J8ny9nb3B1VrpkuN+z9OE5wfE5p6H4LchYZsegiQgbJD94ZFQ==
+  dependencies:
+    lru-cache "^6.0.0"
+
+serialize-javascript@6.0.0, serialize-javascript@^6.0.0:
+  version "6.0.0"
+  resolved "https://registry.yarnpkg.com/serialize-javascript/-/serialize-javascript-6.0.0.tgz#efae5d88f45d7924141da8b5c3a7a7e663fefeb8"
+  integrity sha512-Qr3TosvguFt8ePWqsvRfrKyQXIiW+nGbYpy8XK24NQHE83caxWt+mIymTT19DGFbNWNLfEwsrkSmN64lVWB9ag==
+  dependencies:
+    randombytes "^2.1.0"
+
+setprototypeof@1.2.0:
+  version "1.2.0"
+  resolved "https://registry.yarnpkg.com/setprototypeof/-/setprototypeof-1.2.0.tgz#66c9a24a73f9fc28cbe66b09fed3d33dcaf1b424"
+  integrity sha512-E5LDX7Wrp85Kil5bhZv46j8jOeboKq5JMmYM3gVGdGH8xFpPWXUMsNrlODCrkoxMEeNi/XZIwuRvY4XNwYMJpw==
+
+shallow-clone@^3.0.0:
+  version "3.0.1"
+  resolved "https://registry.yarnpkg.com/shallow-clone/-/shallow-clone-3.0.1.tgz#8f2981ad92531f55035b01fb230769a40e02efa3"
+  integrity sha512-/6KqX+GVUdqPuPPd2LxDDxzX6CAbjJehAAOKlNpqqUpAqPM6HeL8f+o3a+JsyGjn2lv0WY8UsTgUJjU9Ok55NA==
+  dependencies:
+    kind-of "^6.0.2"
+
+shebang-command@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/shebang-command/-/shebang-command-2.0.0.tgz#ccd0af4f8835fbdc265b82461aaf0c36663f34ea"
+  integrity sha512-kHxr2zZpYtdmrN1qDjrrX/Z1rR1kG8Dx+gkpK1G4eXmvXswmcE1hTWBWYUzlraYw1/yZp6YuDY77YtvbN0dmDA==
+  dependencies:
+    shebang-regex "^3.0.0"
+
+shebang-regex@^3.0.0:
+  version "3.0.0"
+  resolved "https://registry.yarnpkg.com/shebang-regex/-/shebang-regex-3.0.0.tgz#ae16f1644d873ecad843b0307b143362d4c42172"
+  integrity sha512-7++dFhtcx3353uBaq8DDR4NuxBetBzC7ZQOhmTQInHEd6bSrXdiEyzCvG07Z44UYdLShWUyXt5M/yhz8ekcb1A==
+
+signal-exit@^3.0.3:
+  version "3.0.6"
+  resolved "https://registry.yarnpkg.com/signal-exit/-/signal-exit-3.0.6.tgz#24e630c4b0f03fea446a2bd299e62b4a6ca8d0af"
+  integrity sha512-sDl4qMFpijcGw22U5w63KmD3cZJfBuFlVNbVMKje2keoKML7X2UzWbc4XrmEbDwg0NXJc3yv4/ox7b+JWb57kQ==
+
+socket.io-adapter@~2.1.0:
+  version "2.1.0"
+  resolved "https://registry.yarnpkg.com/socket.io-adapter/-/socket.io-adapter-2.1.0.tgz#edc5dc36602f2985918d631c1399215e97a1b527"
+  integrity sha512-+vDov/aTsLjViYTwS9fPy5pEtTkrbEKsw2M+oVSoFGw6OD1IpvlV1VPhUzNbofCQ8oyMbdYJqDtGdmHQK6TdPg==
+
+socket.io-parser@~4.0.3:
+  version "4.0.4"
+  resolved "https://registry.yarnpkg.com/socket.io-parser/-/socket.io-parser-4.0.4.tgz#9ea21b0d61508d18196ef04a2c6b9ab630f4c2b0"
+  integrity sha512-t+b0SS+IxG7Rxzda2EVvyBZbvFPBCjJoyHuE0P//7OAsN23GItzDRdWa6ALxZI/8R5ygK7jAR6t028/z+7295g==
+  dependencies:
+    "@types/component-emitter" "^1.2.10"
+    component-emitter "~1.3.0"
+    debug "~4.3.1"
+
+socket.io@^3.1.0:
+  version "3.1.2"
+  resolved "https://registry.yarnpkg.com/socket.io/-/socket.io-3.1.2.tgz#06e27caa1c4fc9617547acfbb5da9bc1747da39a"
+  integrity sha512-JubKZnTQ4Z8G4IZWtaAZSiRP3I/inpy8c/Bsx2jrwGrTbKeVU5xd6qkKMHpChYeM3dWZSO0QACiGK+obhBNwYw==
+  dependencies:
+    "@types/cookie" "^0.4.0"
+    "@types/cors" "^2.8.8"
+    "@types/node" ">=10.0.0"
+    accepts "~1.3.4"
+    base64id "~2.0.0"
+    debug "~4.3.1"
+    engine.io "~4.1.0"
+    socket.io-adapter "~2.1.0"
+    socket.io-parser "~4.0.3"
+
+source-map-js@^0.6.2:
+  version "0.6.2"
+  resolved "https://registry.yarnpkg.com/source-map-js/-/source-map-js-0.6.2.tgz#0bb5de631b41cfbda6cfba8bd05a80efdfd2385e"
+  integrity sha512-/3GptzWzu0+0MBQFrDKzw/DvvMTUORvgY6k6jd/VS6iCR4RDTKWH6v6WPwQoUO8667uQEf9Oe38DxAYWY5F/Ug==
+
+source-map-js@^1.0.1:
+  version "1.0.2"
+  resolved "https://registry.yarnpkg.com/source-map-js/-/source-map-js-1.0.2.tgz#adbc361d9c62df380125e7f161f71c826f1e490c"
+  integrity sha512-R0XvVJ9WusLiqTCEiGCmICCMplcCkIwwR11mOSD9CR5u+IXYdiseeEuXCVAjS54zqwkLcPNnmU4OeJ6tUrWhDw==
+
+source-map-loader@3.0.0:
+  version "3.0.0"
+  resolved "https://registry.yarnpkg.com/source-map-loader/-/source-map-loader-3.0.0.tgz#f2a04ee2808ad01c774dea6b7d2639839f3b3049"
+  integrity sha512-GKGWqWvYr04M7tn8dryIWvb0s8YM41z82iQv01yBtIylgxax0CwvSy6gc2Y02iuXwEfGWRlMicH0nvms9UZphw==
+  dependencies:
+    abab "^2.0.5"
+    iconv-lite "^0.6.2"
+    source-map-js "^0.6.2"
+
+source-map-support@0.5.20:
+  version "0.5.20"
+  resolved "https://registry.yarnpkg.com/source-map-support/-/source-map-support-0.5.20.tgz#12166089f8f5e5e8c56926b377633392dd2cb6c9"
+  integrity sha512-n1lZZ8Ve4ksRqizaBQgxXDgKwttHDhyfQjA6YZZn8+AroHbsIz+JjwxQDxbp+7y5OYCI8t1Yk7etjD9CRd2hIw==
+  dependencies:
+    buffer-from "^1.0.0"
+    source-map "^0.6.0"
+
+source-map-support@~0.5.20:
+  version "0.5.21"
+  resolved "https://registry.yarnpkg.com/source-map-support/-/source-map-support-0.5.21.tgz#04fe7c7f9e1ed2d662233c28cb2b35b9f63f6e4f"
+  integrity sha512-uBHU3L3czsIyYXKX88fdrGovxdSCoTGDRZ6SYXtSRxLZUzHg5P/66Ht6uoUlHu9EZod+inXhKo3qQgwXUT/y1w==
+  dependencies:
+    buffer-from "^1.0.0"
+    source-map "^0.6.0"
+
+source-map@^0.6.0, source-map@^0.6.1:
+  version "0.6.1"
+  resolved "https://registry.yarnpkg.com/source-map/-/source-map-0.6.1.tgz#74722af32e9614e9c287a8d0bbde48b5e2f1a263"
+  integrity sha512-UjgapumWlbMhkBgzT7Ykc5YXUT46F0iKu8SGXq0bcwP5dz/h0Plj6enJqjz1Zbq2l5WaqYnrVbwWOWMyF3F47g==
+
+source-map@~0.7.2:
+  version "0.7.3"
+  resolved "https://registry.yarnpkg.com/source-map/-/source-map-0.7.3.tgz#5302f8169031735226544092e64981f751750383"
+  integrity sha512-CkCj6giN3S+n9qrYiBTX5gystlENnRW5jZeNLHpe6aue+SrHcG5VYwujhW9s4dY31mEGsxBDrHR6oI69fTXsaQ==
+
+"statuses@>= 1.5.0 < 2", statuses@~1.5.0:
+  version "1.5.0"
+  resolved "https://registry.yarnpkg.com/statuses/-/statuses-1.5.0.tgz#161c7dac177659fd9811f43771fa99381478628c"
+  integrity sha1-Fhx9rBd2Wf2YEfQ3cfqZOBR4Yow=
+
+streamroller@^3.0.2:
+  version "3.0.2"
+  resolved "https://registry.yarnpkg.com/streamroller/-/streamroller-3.0.2.tgz#30418d0eee3d6c93ec897f892ed098e3a81e68b7"
+  integrity sha512-ur6y5S5dopOaRXBuRIZ1u6GC5bcEXHRZKgfBjfCglMhmIf+roVCECjvkEYzNQOXIN2/JPnkMPW/8B3CZoKaEPA==
+  dependencies:
+    date-format "^4.0.3"
+    debug "^4.1.1"
+    fs-extra "^10.0.0"
+
+string-width@^4.1.0, string-width@^4.2.0:
+  version "4.2.3"
+  resolved "https://registry.yarnpkg.com/string-width/-/string-width-4.2.3.tgz#269c7117d27b05ad2e536830a8ec895ef9c6d010"
+  integrity sha512-wKyQRQpjJ0sIp62ErSZdGsjMJWsap5oRNihHhu6G7JVO/9jIB6UyevL+tXuOqrng8j/cxKTWyWUwvSTriiZz/g==
+  dependencies:
+    emoji-regex "^8.0.0"
+    is-fullwidth-code-point "^3.0.0"
+    strip-ansi "^6.0.1"
+
+strip-ansi@^6.0.0, strip-ansi@^6.0.1:
+  version "6.0.1"
+  resolved "https://registry.yarnpkg.com/strip-ansi/-/strip-ansi-6.0.1.tgz#9e26c63d30f53443e9489495b2105d37b67a85d9"
+  integrity sha512-Y38VPSHcqkFrCpFnQ9vuSXmquuv5oXOKpGeT6aGrr3o3Gc9AlVa6JBfUSOCnbxGGZF+/0ooI7KrPuUSztUdU5A==
+  dependencies:
+    ansi-regex "^5.0.1"
+
+strip-final-newline@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/strip-final-newline/-/strip-final-newline-2.0.0.tgz#89b852fb2fcbe936f6f4b3187afb0a12c1ab58ad"
+  integrity sha512-BrpvfNAE3dcvq7ll3xVumzjKjZQ5tI1sEUIKr3Uoks0XUl45St3FlatVqef9prk4jRDzhW6WZg+3bk93y6pLjA==
+
+strip-json-comments@3.1.1:
+  version "3.1.1"
+  resolved "https://registry.yarnpkg.com/strip-json-comments/-/strip-json-comments-3.1.1.tgz#31f1281b3832630434831c310c01cccda8cbe006"
+  integrity sha512-6fPc+R4ihwqP6N/aIv2f1gMH8lOVtWQHoqC4yK6oSDVVocumAsfCqjkXnqiYMhmMwS/mEHLp7Vehlt3ql6lEig==
+
+style-loader@3.3.0:
+  version "3.3.0"
+  resolved "https://registry.yarnpkg.com/style-loader/-/style-loader-3.3.0.tgz#d66ea95fc50b22f8b79b69a9e414760fcf58d8d8"
+  integrity sha512-szANub7ksJtQioJYtpbWwh1hUl99uK15n5HDlikeCRil/zYMZgSxucHddyF/4A3qJMUiAjPhFowrrQuNMA7jwQ==
+
+supports-color@8.1.1, supports-color@^8.0.0:
+  version "8.1.1"
+  resolved "https://registry.yarnpkg.com/supports-color/-/supports-color-8.1.1.tgz#cd6fc17e28500cff56c1b86c0a7fd4a54a73005c"
+  integrity sha512-MpUEN2OodtUzxvKQl72cUF7RQ5EiHsGvSsVG0ia9c5RbWGL2CI4C7EpPS8UTBIplnlzZiNuV56w+FuNxy3ty2Q==
+  dependencies:
+    has-flag "^4.0.0"
+
+supports-color@^7.1.0:
+  version "7.2.0"
+  resolved "https://registry.yarnpkg.com/supports-color/-/supports-color-7.2.0.tgz#1b7dcdcb32b8138801b3e478ba6a51caa89648da"
+  integrity sha512-qpCAvRl9stuOHveKsn7HncJRvv501qIacKzQlO/+Lwxc9+0q2wLyv4Dfvt80/DPn2pqOBsJdDiogXGR9+OvwRw==
+  dependencies:
+    has-flag "^4.0.0"
+
+supports-preserve-symlinks-flag@^1.0.0:
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/supports-preserve-symlinks-flag/-/supports-preserve-symlinks-flag-1.0.0.tgz#6eda4bd344a3c94aea376d4cc31bc77311039e09"
+  integrity sha512-ot0WnXS9fgdkgIcePe6RHNk1WA8+muPa6cSjeR3V8K27q9BB1rTE3R1p7Hv0z1ZyAc8s6Vvv8DIyWf681MAt0w==
+
+tapable@^2.1.1, tapable@^2.2.0:
+  version "2.2.1"
+  resolved "https://registry.yarnpkg.com/tapable/-/tapable-2.2.1.tgz#1967a73ef4060a82f12ab96af86d52fdb76eeca0"
+  integrity sha512-GNzQvQTOIP6RyTfE2Qxb8ZVlNmw0n88vp1szwWRimP02mnTsx3Wtn5qRdqY9w2XduFNUgvOwhNnQsjwCp+kqaQ==
+
+terser-webpack-plugin@^5.1.3:
+  version "5.3.0"
+  resolved "https://registry.yarnpkg.com/terser-webpack-plugin/-/terser-webpack-plugin-5.3.0.tgz#21641326486ecf91d8054161c816e464435bae9f"
+  integrity sha512-LPIisi3Ol4chwAaPP8toUJ3L4qCM1G0wao7L3qNv57Drezxj6+VEyySpPw4B1HSO2Eg/hDY/MNF5XihCAoqnsQ==
+  dependencies:
+    jest-worker "^27.4.1"
+    schema-utils "^3.1.1"
+    serialize-javascript "^6.0.0"
+    source-map "^0.6.1"
+    terser "^5.7.2"
+
+terser@^5.7.2:
+  version "5.10.0"
+  resolved "https://registry.yarnpkg.com/terser/-/terser-5.10.0.tgz#b86390809c0389105eb0a0b62397563096ddafcc"
+  integrity sha512-AMmF99DMfEDiRJfxfY5jj5wNH/bYO09cniSqhfoyxc8sFoYIgkJy86G04UoZU5VjlpnplVu0K6Tx6E9b5+DlHA==
+  dependencies:
+    commander "^2.20.0"
+    source-map "~0.7.2"
+    source-map-support "~0.5.20"
+
+tmp@^0.2.1:
+  version "0.2.1"
+  resolved "https://registry.yarnpkg.com/tmp/-/tmp-0.2.1.tgz#8457fc3037dcf4719c251367a1af6500ee1ccf14"
+  integrity sha512-76SUhtfqR2Ijn+xllcI5P1oyannHNHByD80W1q447gU3mp9G9PSpGdWmjUOHRDPiHYacIk66W7ubDTuPF3BEtQ==
+  dependencies:
+    rimraf "^3.0.0"
+
+to-regex-range@^5.0.1:
+  version "5.0.1"
+  resolved "https://registry.yarnpkg.com/to-regex-range/-/to-regex-range-5.0.1.tgz#1648c44aae7c8d988a326018ed72f5b4dd0392e4"
+  integrity sha512-65P7iz6X5yEr1cwcgvQxbbIw7Uk3gOy5dIdtZ4rDveLqhrdJP+Li/Hx6tyK0NEb+2GCyneCMJiGqrADCSNk8sQ==
+  dependencies:
+    is-number "^7.0.0"
+
+toidentifier@1.0.1:
+  version "1.0.1"
+  resolved "https://registry.yarnpkg.com/toidentifier/-/toidentifier-1.0.1.tgz#3be34321a88a820ed1bd80dfaa33e479fbb8dd35"
+  integrity sha512-o5sSPKEkg/DIQNmH43V0/uerLrpzVedkUh8tGNvaeXpfpuwjKenlSox/2O/BTlZUtEe+JG7s5YhEz608PlAHRA==
+
+type-is@~1.6.18:
+  version "1.6.18"
+  resolved "https://registry.yarnpkg.com/type-is/-/type-is-1.6.18.tgz#4e552cd05df09467dcbc4ef739de89f2cf37c131"
+  integrity sha512-TkRKr9sUTxEH8MdfuCSP7VizJyzRNMjj2J2do2Jr3Kym598JVdEksuzPQCnlFPW4ky9Q+iA+ma9BGm06XQBy8g==
+  dependencies:
+    media-typer "0.3.0"
+    mime-types "~2.1.24"
+
+typescript@3.9.5:
+  version "3.9.5"
+  resolved "https://registry.yarnpkg.com/typescript/-/typescript-3.9.5.tgz#586f0dba300cde8be52dd1ac4f7e1009c1b13f36"
+  integrity sha512-hSAifV3k+i6lEoCJ2k6R2Z/rp/H3+8sdmcn5NrS3/3kE7+RyZXm9aqvxWqjEXHAd8b0pShatpcdMTvEdvAJltQ==
+
+ua-parser-js@^0.7.28:
+  version "0.7.31"
+  resolved "https://registry.yarnpkg.com/ua-parser-js/-/ua-parser-js-0.7.31.tgz#649a656b191dffab4f21d5e053e27ca17cbff5c6"
+  integrity sha512-qLK/Xe9E2uzmYI3qLeOmI0tEOt+TBBQyUIAh4aAgU05FVYzeZrKUdkAZfBNVGRaHVgV0TDkdEngJSw/SyQchkQ==
+
+universalify@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/universalify/-/universalify-2.0.0.tgz#75a4984efedc4b08975c5aeb73f530d02df25717"
+  integrity sha512-hAZsKq7Yy11Zu1DE0OzWjw7nnLZmJZYTDZZyEFHZdUhV8FkH5MCfoU1XMaxXovpyW5nq5scPqq0ZDP9Zyl04oQ==
+
+unpipe@1.0.0, unpipe@~1.0.0:
+  version "1.0.0"
+  resolved "https://registry.yarnpkg.com/unpipe/-/unpipe-1.0.0.tgz#b2bf4ee8514aae6165b4817829d21b2ef49904ec"
+  integrity sha1-sr9O6FFKrmFltIF4KdIbLvSZBOw=
+
+uri-js@^4.2.2:
+  version "4.4.1"
+  resolved "https://registry.yarnpkg.com/uri-js/-/uri-js-4.4.1.tgz#9b1a52595225859e55f669d928f88c6c57f2a77e"
+  integrity sha512-7rKUyy33Q1yc98pQ1DAmLtwX109F7TIfWlW1Ydo8Wl1ii1SeHieeh0HHfPeL2fMXK6z0s8ecKs9frCuLJvndBg==
+  dependencies:
+    punycode "^2.1.0"
+
+util-deprecate@^1.0.2:
+  version "1.0.2"
+  resolved "https://registry.yarnpkg.com/util-deprecate/-/util-deprecate-1.0.2.tgz#450d4dc9fa70de732762fbd2d4a28981419a0ccf"
+  integrity sha1-RQ1Nyfpw3nMnYvvS1KKJgUGaDM8=
+
+utils-merge@1.0.1:
+  version "1.0.1"
+  resolved "https://registry.yarnpkg.com/utils-merge/-/utils-merge-1.0.1.tgz#9f95710f50a267947b2ccc124741c1028427e713"
+  integrity sha1-n5VxD1CiZ5R7LMwSR0HBAoQn5xM=
+
+v8-compile-cache@^2.2.0:
+  version "2.3.0"
+  resolved "https://registry.yarnpkg.com/v8-compile-cache/-/v8-compile-cache-2.3.0.tgz#2de19618c66dc247dcfb6f99338035d8245a2cee"
+  integrity sha512-l8lCEmLcLYZh4nbunNZvQCJc5pv7+RCwa8q/LdUx8u7lsWvPDKmpodJAJNwkAhJC//dFY48KuIEmjtd4RViDrA==
+
+vary@^1:
+  version "1.1.2"
+  resolved "https://registry.yarnpkg.com/vary/-/vary-1.1.2.tgz#2299f02c6ded30d4a5961b0b9f74524a18f634fc"
+  integrity sha1-IpnwLG3tMNSllhsLn3RSShj2NPw=
+
+void-elements@^2.0.0:
+  version "2.0.1"
+  resolved "https://registry.yarnpkg.com/void-elements/-/void-elements-2.0.1.tgz#c066afb582bb1cb4128d60ea92392e94d5e9dbec"
+  integrity sha1-wGavtYK7HLQSjWDqkjkulNXp2+w=
+
+watchpack@^2.2.0:
+  version "2.3.1"
+  resolved "https://registry.yarnpkg.com/watchpack/-/watchpack-2.3.1.tgz#4200d9447b401156eeca7767ee610f8809bc9d25"
+  integrity sha512-x0t0JuydIo8qCNctdDrn1OzH/qDzk2+rdCOC3YzumZ42fiMqmQ7T3xQurykYMhYfHaPHTp4ZxAx2NfUo1K6QaA==
+  dependencies:
+    glob-to-regexp "^0.4.1"
+    graceful-fs "^4.1.2"
+
+webpack-cli@4.9.0:
+  version "4.9.0"
+  resolved "https://registry.yarnpkg.com/webpack-cli/-/webpack-cli-4.9.0.tgz#dc43e6e0f80dd52e89cbf73d5294bcd7ad6eb343"
+  integrity sha512-n/jZZBMzVEl4PYIBs+auy2WI0WTQ74EnJDiyD98O2JZY6IVIHJNitkYp/uTXOviIOMfgzrNvC9foKv/8o8KSZw==
+  dependencies:
+    "@discoveryjs/json-ext" "^0.5.0"
+    "@webpack-cli/configtest" "^1.1.0"
+    "@webpack-cli/info" "^1.4.0"
+    "@webpack-cli/serve" "^1.6.0"
+    colorette "^2.0.14"
+    commander "^7.0.0"
+    execa "^5.0.0"
+    fastest-levenshtein "^1.0.12"
+    import-local "^3.0.2"
+    interpret "^2.2.0"
+    rechoir "^0.7.0"
+    v8-compile-cache "^2.2.0"
+    webpack-merge "^5.7.3"
+
+webpack-merge@^4.1.5:
+  version "4.2.2"
+  resolved "https://registry.yarnpkg.com/webpack-merge/-/webpack-merge-4.2.2.tgz#a27c52ea783d1398afd2087f547d7b9d2f43634d"
+  integrity sha512-TUE1UGoTX2Cd42j3krGYqObZbOD+xF7u28WB7tfUordytSjbWTIjK/8V0amkBfTYN4/pB/GIDlJZZ657BGG19g==
+  dependencies:
+    lodash "^4.17.15"
+
+webpack-merge@^5.7.3:
+  version "5.8.0"
+  resolved "https://registry.yarnpkg.com/webpack-merge/-/webpack-merge-5.8.0.tgz#2b39dbf22af87776ad744c390223731d30a68f61"
+  integrity sha512-/SaI7xY0831XwP6kzuwhKWVKDP9t1QY1h65lAFLbZqMPIuYcD9QAW4u9STIbU9kaJbPBB/geU/gLr1wDjOhQ+Q==
+  dependencies:
+    clone-deep "^4.0.1"
+    wildcard "^2.0.0"
+
+webpack-sources@^3.2.0:
+  version "3.2.3"
+  resolved "https://registry.yarnpkg.com/webpack-sources/-/webpack-sources-3.2.3.tgz#2d4daab8451fd4b240cc27055ff6a0c2ccea0cde"
+  integrity sha512-/DyMEOrDgLKKIG0fmvtz+4dUX/3Ghozwgm6iPp8KRhvn+eQf9+Q7GWxVNMk3+uCPWfdXYC4ExGBckIXdFEfH1w==
+
+webpack@5.57.1:
+  version "5.57.1"
+  resolved "https://registry.yarnpkg.com/webpack/-/webpack-5.57.1.tgz#ead5ace2c17ecef2ae8126f143bfeaa7f55eab44"
+  integrity sha512-kHszukYjTPVfCOEyrUthA3jqJwduY/P3eO8I0gMNOZGIQWKAwZftxmp5hq6paophvwo9NoUrcZOecs9ulOyyTg==
+  dependencies:
+    "@types/eslint-scope" "^3.7.0"
+    "@types/estree" "^0.0.50"
+    "@webassemblyjs/ast" "1.11.1"
+    "@webassemblyjs/wasm-edit" "1.11.1"
+    "@webassemblyjs/wasm-parser" "1.11.1"
+    acorn "^8.4.1"
+    acorn-import-assertions "^1.7.6"
+    browserslist "^4.14.5"
+    chrome-trace-event "^1.0.2"
+    enhanced-resolve "^5.8.3"
+    es-module-lexer "^0.9.0"
+    eslint-scope "5.1.1"
+    events "^3.2.0"
+    glob-to-regexp "^0.4.1"
+    graceful-fs "^4.2.4"
+    json-parse-better-errors "^1.0.2"
+    loader-runner "^4.2.0"
+    mime-types "^2.1.27"
+    neo-async "^2.6.2"
+    schema-utils "^3.1.0"
+    tapable "^2.1.1"
+    terser-webpack-plugin "^5.1.3"
+    watchpack "^2.2.0"
+    webpack-sources "^3.2.0"
+
+which@2.0.2, which@^2.0.1:
+  version "2.0.2"
+  resolved "https://registry.yarnpkg.com/which/-/which-2.0.2.tgz#7c6a8dd0a636a0327e10b59c9286eee93f3f51b1"
+  integrity sha512-BLI3Tl1TW3Pvl70l3yq3Y64i+awpwXqsGBYWkkqMtnbXgrMD+yj7rhW0kuEDxzJaYXGjEW5ogapKNMEKNMjibA==
+  dependencies:
+    isexe "^2.0.0"
+
+which@^1.2.1:
+  version "1.3.1"
+  resolved "https://registry.yarnpkg.com/which/-/which-1.3.1.tgz#a45043d54f5805316da8d62f9f50918d3da70b0a"
+  integrity sha512-HxJdYWq1MTIQbJ3nw0cqssHoTNU267KlrDuGZ1WYlxDStUtKUhOaJmh112/TZmHxxUfuJqPXSOm7tDyas0OSIQ==
+  dependencies:
+    isexe "^2.0.0"
+
+wildcard@^2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/wildcard/-/wildcard-2.0.0.tgz#a77d20e5200c6faaac979e4b3aadc7b3dd7f8fec"
+  integrity sha512-JcKqAHLPxcdb9KM49dufGXn2x3ssnfjbcaQdLlfZsL9rH9wgDQjUtDxbo8NE0F6SFvydeu1VhZe7hZuHsB2/pw==
+
+workerpool@6.1.5:
+  version "6.1.5"
+  resolved "https://registry.yarnpkg.com/workerpool/-/workerpool-6.1.5.tgz#0f7cf076b6215fd7e1da903ff6f22ddd1886b581"
+  integrity sha512-XdKkCK0Zqc6w3iTxLckiuJ81tiD/o5rBE/m+nXpRCB+/Sq4DqkfXZ/x0jW02DG1tGsfUGXbTJyZDP+eu67haSw==
+
+wrap-ansi@^7.0.0:
+  version "7.0.0"
+  resolved "https://registry.yarnpkg.com/wrap-ansi/-/wrap-ansi-7.0.0.tgz#67e145cff510a6a6984bdf1152911d69d2eb9e43"
+  integrity sha512-YVGIj2kamLSTxw6NsZjoBxfSwsn0ycdesmc4p+Q21c5zPuZ1pl+NfxVdxPtdHvmNVOQ6XSYG4AUtyt/Fi7D16Q==
+  dependencies:
+    ansi-styles "^4.0.0"
+    string-width "^4.1.0"
+    strip-ansi "^6.0.0"
+
+wrappy@1:
+  version "1.0.2"
+  resolved "https://registry.yarnpkg.com/wrappy/-/wrappy-1.0.2.tgz#b5243d8f3ec1aa35f1364605bc0d1036e30ab69f"
+  integrity sha1-tSQ9jz7BqjXxNkYFvA0QNuMKtp8=
+
+ws@~7.4.2:
+  version "7.4.6"
+  resolved "https://registry.yarnpkg.com/ws/-/ws-7.4.6.tgz#5654ca8ecdeee47c33a9a4bf6d28e2be2980377c"
+  integrity sha512-YmhHDO4MzaDLB+M9ym/mDA5z0naX8j7SIlT8f8z+I0VtzsRbekxEutHSme7NPS2qE8StCYQNUnfWdXta/Yu85A==
+
+y18n@^5.0.5:
+  version "5.0.8"
+  resolved "https://registry.yarnpkg.com/y18n/-/y18n-5.0.8.tgz#7f4934d0f7ca8c56f95314939ddcd2dd91ce1d55"
+  integrity sha512-0pfFzegeDWJHJIAmTLRP2DwHjdF5s7jo9tuztdQxAhINCdvS+3nGINqPd00AphqJR/0LhANUS6/+7SCb98YOfA==
+
+yallist@^4.0.0:
+  version "4.0.0"
+  resolved "https://registry.yarnpkg.com/yallist/-/yallist-4.0.0.tgz#9bb92790d9c0effec63be73519e11a35019a3a72"
+  integrity sha512-3wdGidZyq5PB084XLES5TpOSRA3wjXAlIWMhum2kRcv/41Sn2emQ0dycQW4uZXLejwKvg6EsvbdlVL+FYEct7A==
+
+yargs-parser@20.2.4:
+  version "20.2.4"
+  resolved "https://registry.yarnpkg.com/yargs-parser/-/yargs-parser-20.2.4.tgz#b42890f14566796f85ae8e3a25290d205f154a54"
+  integrity sha512-WOkpgNhPTlE73h4VFAFsOnomJVaovO8VqLDzy5saChRBFQFBoMYirowyW+Q9HB4HFF4Z7VZTiG3iSzJJA29yRA==
+
+yargs-parser@^20.2.2:
+  version "20.2.9"
+  resolved "https://registry.yarnpkg.com/yargs-parser/-/yargs-parser-20.2.9.tgz#2eb7dc3b0289718fc295f362753845c41a0c94ee"
+  integrity sha512-y11nGElTIV+CT3Zv9t7VKl+Q3hTQoT9a1Qzezhhl6Rp21gJ/IVTW7Z3y9EWXhuUBC2Shnf+DX0antecpAwSP8w==
+
+yargs-unparser@2.0.0:
+  version "2.0.0"
+  resolved "https://registry.yarnpkg.com/yargs-unparser/-/yargs-unparser-2.0.0.tgz#f131f9226911ae5d9ad38c432fe809366c2325eb"
+  integrity sha512-7pRTIA9Qc1caZ0bZ6RYRGbHJthJWuakf+WmHK0rVeLkNrrGhfoabBNdue6kdINI6r4if7ocq9aD/n7xwKOdzOA==
+  dependencies:
+    camelcase "^6.0.0"
+    decamelize "^4.0.0"
+    flat "^5.0.2"
+    is-plain-obj "^2.1.0"
+
+yargs@16.2.0, yargs@^16.1.1:
+  version "16.2.0"
+  resolved "https://registry.yarnpkg.com/yargs/-/yargs-16.2.0.tgz#1c82bf0f6b6a66eafce7ef30e376f49a12477f66"
+  integrity sha512-D1mvvtDG0L5ft/jGWkLpG1+m0eQxOfaBvTNELraWj22wSVUMWxZUvYgJYcKh6jGGIkJFhH4IZPQhR4TKpc8mBw==
+  dependencies:
+    cliui "^7.0.2"
+    escalade "^3.1.1"
+    get-caller-file "^2.0.5"
+    require-directory "^2.1.1"
+    string-width "^4.2.0"
+    y18n "^5.0.5"
+    yargs-parser "^20.2.2"
+
+yocto-queue@^0.1.0:
+  version "0.1.0"
+  resolved "https://registry.yarnpkg.com/yocto-queue/-/yocto-queue-0.1.0.tgz#0294eb3dee05028d31ee1a5fa2c556a6aaf10a1b"
+  integrity sha512-rVksvsnNCdJ/ohGc6xgPwyN8eheCxsiLM8mxuE/t/mOVqJewPuO1miLpTHQiRgTKCLexL4MeAFVagts7HmNZ2Q==

From 860763987666280bd5978c1f33ff27f3397a2652 Mon Sep 17 00:00:00 2001
From: Iaroslav Postovalov <postovalovya@gmail.com>
Date: Wed, 26 Jan 2022 20:33:44 +0700
Subject: [PATCH 39/44] Change units

---
 benchmarks/build.gradle.kts | 5 +++--
 1 file changed, 3 insertions(+), 2 deletions(-)

diff --git a/benchmarks/build.gradle.kts b/benchmarks/build.gradle.kts
index 3dc221bae..90ec5dfbe 100644
--- a/benchmarks/build.gradle.kts
+++ b/benchmarks/build.gradle.kts
@@ -101,8 +101,9 @@ benchmark {
         // Some extra precision
         warmups = 2
         iterations = 10
-        iterationTime = 2000
-        iterationTimeUnit = "ms"
+        iterationTime = 10
+        iterationTimeUnit = "s"
+        outputTimeUnit = "s"
         include("ExpressionsInterpretersBenchmark")
     }
 

From 7bb66f6a00c8fa045e60a333bc5aae3d9cf5dfbd Mon Sep 17 00:00:00 2001
From: Alexander Nozik <altavir@gmail.com>
Date: Sat, 29 Jan 2022 15:02:46 +0300
Subject: [PATCH 40/44] Add TensorFlow prototype

---
 CHANGELOG.md                                  |  1 +
 README.md                                     | 29 ------
 docs/templates/README-TEMPLATE.md             | 29 ------
 gradle.properties                             |  2 +-
 kmath-tensorflow/build.gradle.kts             |  4 +-
 .../tensorflow/DoubleTensorFlowAlgebra.kt     | 21 ++++-
 .../kmath/tensorflow/TensorFlowAlgebra.kt     | 90 +++++++++++--------
 .../kscience/kmath/tensorflow/tfOperations.kt | 23 +++++
 .../kmath/tensorflow/DoubleTensorFlowOps.kt   | 18 +++-
 9 files changed, 114 insertions(+), 103 deletions(-)
 create mode 100644 kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/tfOperations.kt

diff --git a/CHANGELOG.md b/CHANGELOG.md
index 857ed060b..a19b1f467 100644
--- a/CHANGELOG.md
+++ b/CHANGELOG.md
@@ -18,6 +18,7 @@
 - Integration between `MST` and Symja `IExpr`
 - Complex power
 - Separate methods for UInt, Int and Number powers. NaN safety.
+- Tensorflow prototype
 
 ### Changed
 - Exponential operations merged with hyperbolic functions
diff --git a/README.md b/README.md
index 8604873ae..92260716e 100644
--- a/README.md
+++ b/README.md
@@ -50,35 +50,6 @@ module definitions below. The module stability could have the following levels:
   with [binary-compatibility-validator](https://github.com/Kotlin/binary-compatibility-validator) tool.
 * **STABLE**. The API stabilized. Breaking changes are allowed only in major releases.
 
-<!--Current feature list is [here](/docs/features.md)-->
-
-
-<!--* **Array-like structures** Full support of many-dimensional array-like structures -->
-<!--including mixed arithmetic operations and function operations over arrays and numbers (with the added benefit of static type checking).-->
-
-<!--* **Histograms** Fast multi-dimensional histograms.-->
-
-<!--* **Streaming** Streaming operations on mathematical objects and objects buffers.-->
-
-<!--* **Type-safe dimensions** Type-safe dimensions for matrix operations.-->
-
-<!--* **Commons-math wrapper** It is planned to gradually wrap most parts of -->
-<!--[Apache commons-math](http://commons.apache.org/proper/commons-math/) library in Kotlin code and maybe rewrite some -->
-<!--parts to better suit the Kotlin programming paradigm, however there is no established roadmap for that. Feel free to -->
-<!--submit a feature request if you want something to be implemented first.-->
-<!--                           -->
-<!--## Planned features-->
-
-<!--* **Messaging** A mathematical notation to support multi-language and multi-node communication for mathematical tasks.-->
-
-<!--* **Array statistics** -->
-
-<!--* **Integration** Univariate and multivariate integration framework.-->
-
-<!--* **Probability and distributions**-->
-
-<!--* **Fitting** Non-linear curve fitting facilities-->
-
 ## Modules
 
 <hr/>
diff --git a/docs/templates/README-TEMPLATE.md b/docs/templates/README-TEMPLATE.md
index e75d4c5ed..b0c418697 100644
--- a/docs/templates/README-TEMPLATE.md
+++ b/docs/templates/README-TEMPLATE.md
@@ -50,35 +50,6 @@ module definitions below. The module stability could have the following levels:
   with [binary-compatibility-validator](https://github.com/Kotlin/binary-compatibility-validator) tool.
 * **STABLE**. The API stabilized. Breaking changes are allowed only in major releases.
 
-<!--Current feature list is [here](/docs/features.md)-->
-
-
-<!--* **Array-like structures** Full support of many-dimensional array-like structures -->
-<!--including mixed arithmetic operations and function operations over arrays and numbers (with the added benefit of static type checking).-->
-
-<!--* **Histograms** Fast multi-dimensional histograms.-->
-
-<!--* **Streaming** Streaming operations on mathematical objects and objects buffers.-->
-
-<!--* **Type-safe dimensions** Type-safe dimensions for matrix operations.-->
-
-<!--* **Commons-math wrapper** It is planned to gradually wrap most parts of -->
-<!--[Apache commons-math](http://commons.apache.org/proper/commons-math/) library in Kotlin code and maybe rewrite some -->
-<!--parts to better suit the Kotlin programming paradigm, however there is no established roadmap for that. Feel free to -->
-<!--submit a feature request if you want something to be implemented first.-->
-<!--                           -->
-<!--## Planned features-->
-
-<!--* **Messaging** A mathematical notation to support multi-language and multi-node communication for mathematical tasks.-->
-
-<!--* **Array statistics** -->
-
-<!--* **Integration** Univariate and multivariate integration framework.-->
-
-<!--* **Probability and distributions**-->
-
-<!--* **Fitting** Non-linear curve fitting facilities-->
-
 ## Modules
 
 $modules
diff --git a/gradle.properties b/gradle.properties
index 130d294a2..7dd9e6d61 100644
--- a/gradle.properties
+++ b/gradle.properties
@@ -12,4 +12,4 @@ org.gradle.configureondemand=true
 org.gradle.parallel=true
 org.gradle.jvmargs=-XX:MaxMetaspaceSize=1G
 
-toolsVersion=0.10.9-kotlin-1.6.10
+toolsVersion=0.11.1-kotlin-1.6.10
diff --git a/kmath-tensorflow/build.gradle.kts b/kmath-tensorflow/build.gradle.kts
index c8307f01f..9380a7308 100644
--- a/kmath-tensorflow/build.gradle.kts
+++ b/kmath-tensorflow/build.gradle.kts
@@ -6,8 +6,8 @@ description = "Google tensorflow connector"
 
 dependencies {
     api(project(":kmath-tensors"))
-    api("org.tensorflow:tensorflow-core-api:0.3.3")
-    testImplementation("org.tensorflow:tensorflow-core-platform:0.3.3")
+    api("org.tensorflow:tensorflow-core-api:0.4.0")
+    testImplementation("org.tensorflow:tensorflow-core-platform:0.4.0")
 }
 
 readme {
diff --git a/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/DoubleTensorFlowAlgebra.kt b/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/DoubleTensorFlowAlgebra.kt
index eb8245944..ecfd8d098 100644
--- a/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/DoubleTensorFlowAlgebra.kt
+++ b/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/DoubleTensorFlowAlgebra.kt
@@ -11,6 +11,7 @@ import space.kscience.kmath.nd.DefaultStrides
 import space.kscience.kmath.nd.Shape
 import space.kscience.kmath.nd.StructureND
 import space.kscience.kmath.operations.DoubleField
+import space.kscience.kmath.operations.PowerOperations
 
 public class DoubleTensorFlowOutput(
     graph: Graph,
@@ -23,7 +24,7 @@ public class DoubleTensorFlowOutput(
 
 public class DoubleTensorFlowAlgebra internal constructor(
     graph: Graph,
-) : TensorFlowAlgebra<Double, TFloat64, DoubleField>(graph) {
+) : TensorFlowAlgebra<Double, TFloat64, DoubleField>(graph), PowerOperations<StructureND<Double>> {
 
     override val elementAlgebra: DoubleField get() = DoubleField
 
@@ -57,9 +58,22 @@ public class DoubleTensorFlowAlgebra internal constructor(
 
     override fun const(value: Double): Constant<TFloat64> = ops.constant(value)
 
+    override fun divide(
+        left: StructureND<Double>,
+        right: StructureND<Double>,
+    ): TensorFlowOutput<Double, TFloat64> = left.operate(right) { l, r ->
+        ops.math.div(l, r)
+    }
 
+    override fun power(arg: StructureND<Double>, pow: Number): TensorFlowOutput<Double, TFloat64> =
+        arg.operate { ops.math.pow(it, const(pow.toDouble())) }
 }
 
+/**
+ * Compute a tensor with TensorFlow in a single run.
+ *
+ * The resulting tensor is available outside of scope
+ */
 public fun DoubleField.produceWithTF(
     block: DoubleTensorFlowAlgebra.() -> StructureND<Double>,
 ): StructureND<Double> = Graph().use { graph ->
@@ -67,6 +81,11 @@ public fun DoubleField.produceWithTF(
     scope.export(scope.block())
 }
 
+/**
+ * Compute several outputs with TensorFlow in a single run.
+ *
+ * The resulting tensors are available outside of scope
+ */
 public fun DoubleField.produceMapWithTF(
     block: DoubleTensorFlowAlgebra.() -> Map<Symbol, StructureND<Double>>,
 ): Map<Symbol, StructureND<Double>> = Graph().use { graph ->
diff --git a/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/TensorFlowAlgebra.kt b/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/TensorFlowAlgebra.kt
index 7ad91c267..e2541a73e 100644
--- a/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/TensorFlowAlgebra.kt
+++ b/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/TensorFlowAlgebra.kt
@@ -12,6 +12,7 @@ import org.tensorflow.op.core.Max
 import org.tensorflow.op.core.Min
 import org.tensorflow.op.core.Sum
 import org.tensorflow.types.TInt32
+import org.tensorflow.types.family.TNumber
 import org.tensorflow.types.family.TType
 import space.kscience.kmath.misc.PerformancePitfall
 import space.kscience.kmath.misc.UnstableKMathAPI
@@ -29,6 +30,9 @@ internal val <T> NdArray<T>.scalar: T get() = getObject()
 
 public sealed interface TensorFlowTensor<T> : Tensor<T>
 
+/**
+ * Static (eager) in-memory TensorFlow tensor
+ */
 @JvmInline
 public value class TensorFlowArray<T>(public val tensor: NdArray<T>) : Tensor<T> {
     override val shape: Shape get() = tensor.shape().asArray().toIntArray()
@@ -42,6 +46,11 @@ public value class TensorFlowArray<T>(public val tensor: NdArray<T>) : Tensor<T>
     }
 }
 
+/**
+ * Lazy graph-based TensorFlow tensor. The tensor is actualized on call.
+ *
+ * If the tensor is used for intermediate operations, actualizing it could impact performance.
+ */
 public abstract class TensorFlowOutput<T, TT : TType>(
     protected val graph: Graph,
     output: Output<TT>,
@@ -72,11 +81,11 @@ public abstract class TensorFlowOutput<T, TT : TType>(
 }
 
 
-public abstract class TensorFlowAlgebra<T, TT : TType, A : Ring<T>> internal constructor(
+public abstract class TensorFlowAlgebra<T, TT : TNumber, A : Ring<T>> internal constructor(
     protected val graph: Graph,
 ) : TensorAlgebra<T, A> {
 
-    protected val ops: Ops by lazy { Ops.create(graph) }
+    public val ops: Ops by lazy { Ops.create(graph) }
 
     protected abstract fun StructureND<T>.asTensorFlow(): TensorFlowOutput<T, TT>
 
@@ -87,7 +96,10 @@ public abstract class TensorFlowAlgebra<T, TT : TType, A : Ring<T>> internal con
     override fun StructureND<T>.valueOrNull(): T? = if (shape contentEquals intArrayOf(1))
         get(Shape(0)) else null
 
-    private inline fun StructureND<T>.biOp(
+    /**
+     * Perform binary lazy operation on tensor. Both arguments are implicitly converted
+     */
+    public fun StructureND<T>.operate(
         other: StructureND<T>,
         operation: (left: Operand<TT>, right: Operand<TT>) -> Operand<TT>,
     ): TensorFlowOutput<T, TT> {
@@ -96,7 +108,7 @@ public abstract class TensorFlowAlgebra<T, TT : TType, A : Ring<T>> internal con
         return operation(left, right).asOutput().wrap()
     }
 
-    private inline fun T.biOp(
+    public fun T.operate(
         other: StructureND<T>,
         operation: (left: Operand<TT>, right: Operand<TT>) -> Operand<TT>,
     ): TensorFlowOutput<T, TT> {
@@ -105,7 +117,7 @@ public abstract class TensorFlowAlgebra<T, TT : TType, A : Ring<T>> internal con
         return operation(left, right).asOutput().wrap()
     }
 
-    private inline fun StructureND<T>.biOp(
+    public fun StructureND<T>.operate(
         value: T,
         operation: (left: Operand<TT>, right: Operand<TT>) -> Operand<TT>,
     ): TensorFlowOutput<T, TT> {
@@ -114,7 +126,7 @@ public abstract class TensorFlowAlgebra<T, TT : TType, A : Ring<T>> internal con
         return operation(left, right).asOutput().wrap()
     }
 
-    private inline fun Tensor<T>.inPlaceOp(
+    public fun Tensor<T>.operateInPlace(
         other: StructureND<T>,
         operation: (left: Operand<TT>, right: Operand<TT>) -> Operand<TT>,
     ): Unit {
@@ -124,7 +136,7 @@ public abstract class TensorFlowAlgebra<T, TT : TType, A : Ring<T>> internal con
         origin.output = operation(left, right).asOutput()
     }
 
-    private inline fun Tensor<T>.inPlaceOp(
+    public fun Tensor<T>.operateInPlace(
         value: T,
         operation: (left: Operand<TT>, right: Operand<TT>) -> Operand<TT>,
     ): Unit {
@@ -134,61 +146,61 @@ public abstract class TensorFlowAlgebra<T, TT : TType, A : Ring<T>> internal con
         origin.output = operation(left, right).asOutput()
     }
 
-    private inline fun StructureND<T>.unOp(operation: (Operand<TT>) -> Operand<TT>): TensorFlowOutput<T, TT> =
+    public fun StructureND<T>.operate(operation: (Operand<TT>) -> Operand<TT>): TensorFlowOutput<T, TT> =
         operation(asTensorFlow().output).asOutput().wrap()
 
-    override fun T.plus(arg: StructureND<T>): TensorFlowOutput<T, TT> = biOp(arg, ops.math::add)
+    override fun T.plus(arg: StructureND<T>): TensorFlowOutput<T, TT> = operate(arg, ops.math::add)
 
-    override fun StructureND<T>.plus(arg: T): TensorFlowOutput<T, TT> = biOp(arg, ops.math::add)
+    override fun StructureND<T>.plus(arg: T): TensorFlowOutput<T, TT> = operate(arg, ops.math::add)
 
-    override fun StructureND<T>.plus(arg: StructureND<T>): TensorFlowOutput<T, TT> = biOp(arg, ops.math::add)
+    override fun StructureND<T>.plus(arg: StructureND<T>): TensorFlowOutput<T, TT> = operate(arg, ops.math::add)
 
-    override fun Tensor<T>.plusAssign(value: T): Unit = inPlaceOp(value, ops.math::add)
+    override fun Tensor<T>.plusAssign(value: T): Unit = operateInPlace(value, ops.math::add)
 
-    override fun Tensor<T>.plusAssign(arg: StructureND<T>): Unit = inPlaceOp(arg, ops.math::add)
+    override fun Tensor<T>.plusAssign(arg: StructureND<T>): Unit = operateInPlace(arg, ops.math::add)
 
-    override fun StructureND<T>.minus(arg: T): TensorFlowOutput<T, TT> = biOp(arg, ops.math::sub)
+    override fun StructureND<T>.minus(arg: T): TensorFlowOutput<T, TT> = operate(arg, ops.math::sub)
 
-    override fun StructureND<T>.minus(arg: StructureND<T>): TensorFlowOutput<T, TT> = biOp(arg, ops.math::sub)
+    override fun StructureND<T>.minus(arg: StructureND<T>): TensorFlowOutput<T, TT> = operate(arg, ops.math::sub)
 
-    override fun T.minus(arg: StructureND<T>): Tensor<T> = biOp(arg, ops.math::sub)
+    override fun T.minus(arg: StructureND<T>): Tensor<T> = operate(arg, ops.math::sub)
 
-    override fun Tensor<T>.minusAssign(value: T): Unit = inPlaceOp(value, ops.math::sub)
+    override fun Tensor<T>.minusAssign(value: T): Unit = operateInPlace(value, ops.math::sub)
 
-    override fun Tensor<T>.minusAssign(arg: StructureND<T>): Unit = inPlaceOp(arg, ops.math::sub)
+    override fun Tensor<T>.minusAssign(arg: StructureND<T>): Unit = operateInPlace(arg, ops.math::sub)
 
-    override fun T.times(arg: StructureND<T>): TensorFlowOutput<T, TT> = biOp(arg, ops.math::mul)
+    override fun T.times(arg: StructureND<T>): TensorFlowOutput<T, TT> = operate(arg, ops.math::mul)
 
-    override fun StructureND<T>.times(arg: T): TensorFlowOutput<T, TT> = biOp(arg, ops.math::mul)
+    override fun StructureND<T>.times(arg: T): TensorFlowOutput<T, TT> = operate(arg, ops.math::mul)
 
-    override fun StructureND<T>.times(arg: StructureND<T>): TensorFlowOutput<T, TT> = biOp(arg, ops.math::mul)
+    override fun StructureND<T>.times(arg: StructureND<T>): TensorFlowOutput<T, TT> = operate(arg, ops.math::mul)
 
-    override fun Tensor<T>.timesAssign(value: T): Unit = inPlaceOp(value, ops.math::mul)
+    override fun Tensor<T>.timesAssign(value: T): Unit = operateInPlace(value, ops.math::mul)
 
-    override fun Tensor<T>.timesAssign(arg: StructureND<T>): Unit = inPlaceOp(arg, ops.math::mul)
+    override fun Tensor<T>.timesAssign(arg: StructureND<T>): Unit = operateInPlace(arg, ops.math::mul)
 
-    override fun StructureND<T>.unaryMinus(): TensorFlowOutput<T, TT> = unOp(ops.math::neg)
+    override fun StructureND<T>.unaryMinus(): TensorFlowOutput<T, TT> = operate(ops.math::neg)
 
-    override fun Tensor<T>.get(i: Int): Tensor<T> = unOp {
+    override fun Tensor<T>.get(i: Int): Tensor<T> = operate {
         TODO("Not yet implemented")
     }
 
-    override fun Tensor<T>.transpose(i: Int, j: Int): Tensor<T> = unOp {
+    override fun Tensor<T>.transpose(i: Int, j: Int): Tensor<T> = operate {
         ops.linalg.transpose(it, ops.constant(intArrayOf(i, j)))
     }
 
-    override fun Tensor<T>.view(shape: IntArray): Tensor<T> = unOp {
+    override fun Tensor<T>.view(shape: IntArray): Tensor<T> = operate {
         ops.reshape(it, ops.constant(shape))
     }
 
-    override fun Tensor<T>.viewAs(other: StructureND<T>): Tensor<T> = biOp(other) { l, r ->
+    override fun Tensor<T>.viewAs(other: StructureND<T>): Tensor<T> = operate(other) { l, r ->
         ops.reshape(l, ops.shape(r))
     }
 
-    override fun StructureND<T>.dot(other: StructureND<T>): TensorFlowOutput<T, TT> = biOp(other) { l, r ->
+    override fun StructureND<T>.dot(other: StructureND<T>): TensorFlowOutput<T, TT> = operate(other) { l, r ->
         ops.linalg.matMul(
-            if (l.asTensor().shape().numDimensions() == 1) ops.expandDims(l,ops.constant(0)) else l,
-            if (r.asTensor().shape().numDimensions() == 1) ops.expandDims(r,ops.constant(-1)) else r)
+            if (l.asTensor().shape().numDimensions() == 1) ops.expandDims(l, ops.constant(0)) else l,
+            if (r.asTensor().shape().numDimensions() == 1) ops.expandDims(r, ops.constant(-1)) else r)
     }
 
     override fun diagonalEmbedding(
@@ -196,31 +208,31 @@ public abstract class TensorFlowAlgebra<T, TT : TType, A : Ring<T>> internal con
         offset: Int,
         dim1: Int,
         dim2: Int,
-    ): TensorFlowOutput<T, TT> = diagonalEntries.unOp {
-        TODO()
+    ): TensorFlowOutput<T, TT> = diagonalEntries.operate {
+        TODO("Not yet implemented")
     }
 
-    override fun StructureND<T>.sum(): T = unOp {
+    override fun StructureND<T>.sum(): T = operate {
         ops.sum(it, ops.constant(intArrayOf()))
     }.value()
 
-    override fun StructureND<T>.sum(dim: Int, keepDim: Boolean): TensorFlowOutput<T, TT> = unOp {
+    override fun StructureND<T>.sum(dim: Int, keepDim: Boolean): TensorFlowOutput<T, TT> = operate {
         ops.sum(it, ops.constant(dim), Sum.keepDims(keepDim))
     }
 
-    override fun StructureND<T>.min(): T = unOp {
+    override fun StructureND<T>.min(): T = operate {
         ops.min(it, ops.constant(intArrayOf()))
     }.value()
 
-    override fun StructureND<T>.min(dim: Int, keepDim: Boolean): Tensor<T> = unOp {
+    override fun StructureND<T>.min(dim: Int, keepDim: Boolean): Tensor<T> = operate {
         ops.min(it, ops.constant(dim), Min.keepDims(keepDim))
     }
 
-    override fun StructureND<T>.max(): T = unOp {
+    override fun StructureND<T>.max(): T = operate {
         ops.max(it, ops.constant(intArrayOf()))
     }.value()
 
-    override fun StructureND<T>.max(dim: Int, keepDim: Boolean): Tensor<T> = unOp {
+    override fun StructureND<T>.max(dim: Int, keepDim: Boolean): Tensor<T> = operate {
         ops.max(it, ops.constant(dim), Max.keepDims(keepDim))
     }
 
diff --git a/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/tfOperations.kt b/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/tfOperations.kt
new file mode 100644
index 000000000..257d4d6ea
--- /dev/null
+++ b/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/tfOperations.kt
@@ -0,0 +1,23 @@
+/*
+ * Copyright 2018-2021 KMath contributors.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
+ */
+
+package space.kscience.kmath.tensorflow
+
+import org.tensorflow.types.family.TNumber
+import space.kscience.kmath.nd.StructureND
+import space.kscience.kmath.operations.Ring
+import space.kscience.kmath.operations.TrigonometricOperations
+
+//
+
+// TODO add other operations
+
+public fun <T, TT : TNumber, A> TensorFlowAlgebra<T, TT, A>.sin(
+    arg: StructureND<T>,
+): TensorFlowOutput<T, TT> where A : TrigonometricOperations<T>, A : Ring<T> = arg.operate { ops.math.sin(it) }
+
+public fun <T, TT : TNumber, A> TensorFlowAlgebra<T, TT, A>.cos(
+    arg: StructureND<T>,
+): TensorFlowOutput<T, TT> where A : TrigonometricOperations<T>, A : Ring<T> = arg.operate { ops.math.cos(it) }
diff --git a/kmath-tensorflow/src/test/kotlin/space/kscience/kmath/tensorflow/DoubleTensorFlowOps.kt b/kmath-tensorflow/src/test/kotlin/space/kscience/kmath/tensorflow/DoubleTensorFlowOps.kt
index b7a4b94b4..805ad7c66 100644
--- a/kmath-tensorflow/src/test/kotlin/space/kscience/kmath/tensorflow/DoubleTensorFlowOps.kt
+++ b/kmath-tensorflow/src/test/kotlin/space/kscience/kmath/tensorflow/DoubleTensorFlowOps.kt
@@ -1,9 +1,10 @@
 package space.kscience.kmath.tensorflow
 
 import org.junit.jupiter.api.Test
-import space.kscience.kmath.nd.StructureND
+import space.kscience.kmath.nd.get
 import space.kscience.kmath.nd.structureND
 import space.kscience.kmath.operations.DoubleField
+import kotlin.test.assertEquals
 
 class DoubleTensorFlowOps {
     @Test
@@ -13,7 +14,20 @@ class DoubleTensorFlowOps {
 
             initial + (initial * 2.0)
         }
-        println(StructureND.toString(res))
+        //println(StructureND.toString(res))
+        assertEquals(3.0, res[0, 0])
     }
 
+    @Test
+    fun extensionOps(){
+        val res = DoubleField.produceWithTF {
+            val i = structureND(2, 2) { 0.5 }
+
+            sin(i).pow(2) + cos(i).pow(2)
+        }
+
+        assertEquals(1.0, res[0,0],0.01)
+    }
+
+
 }
\ No newline at end of file

From d35516b9afc4bf7d213100b016920b8c92867083 Mon Sep 17 00:00:00 2001
From: Iaroslav Postovalov <postovalovya@gmail.com>
Date: Wed, 2 Feb 2022 10:00:45 +0700
Subject: [PATCH 41/44] Fix theta

---
 .../commonMain/kotlin/space/kscience/kmath/complex/Complex.kt   | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/Complex.kt b/kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/Complex.kt
index d3c414838..77fe782a9 100644
--- a/kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/Complex.kt
+++ b/kmath-complex/src/commonMain/kotlin/space/kscience/kmath/complex/Complex.kt
@@ -41,7 +41,7 @@ public val Complex.r: Double
  * An angle between vector represented by complex number and X axis.
  */
 public val Complex.theta: Double
-    get() = atan(im / re)
+    get() = atan2(im, re)
 
 private val PI_DIV_2 = Complex(PI / 2, 0)
 

From e094f6e8ee9da6931eae1617d2276ce2329549b4 Mon Sep 17 00:00:00 2001
From: Iaroslav Postovalov <postovalovya@gmail.com>
Date: Tue, 8 Feb 2022 11:43:50 +0700
Subject: [PATCH 42/44] Remove Algebra.evaluate(MST) by inlining in into
 interpret

---
 .../space/kscience/kmath/ast/TestParser.kt    |  10 +-
 .../kmath/ast/TestParserPrecedence.kt         |  18 +--
 .../space/kscience/kmath/expressions/MST.kt   | 113 ++++++++----------
 3 files changed, 65 insertions(+), 76 deletions(-)

diff --git a/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestParser.kt b/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestParser.kt
index b838245e1..d0c3a789e 100644
--- a/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestParser.kt
+++ b/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestParser.kt
@@ -7,7 +7,7 @@ package space.kscience.kmath.ast
 
 import space.kscience.kmath.complex.Complex
 import space.kscience.kmath.complex.ComplexField
-import space.kscience.kmath.expressions.evaluate
+import space.kscience.kmath.expressions.interpret
 import space.kscience.kmath.operations.Algebra
 import space.kscience.kmath.operations.DoubleField
 import kotlin.test.Test
@@ -17,14 +17,14 @@ internal class TestParser {
     @Test
     fun evaluateParsedMst() {
         val mst = "2+2*(2+2)".parseMath()
-        val res = ComplexField.evaluate(mst)
+        val res = mst.interpret(ComplexField)
         assertEquals(Complex(10.0, 0.0), res)
     }
 
     @Test
     fun evaluateMstSymbol() {
         val mst = "i".parseMath()
-        val res = ComplexField.evaluate(mst)
+        val res = mst.interpret(ComplexField)
         assertEquals(ComplexField.i, res)
     }
 
@@ -32,7 +32,7 @@ internal class TestParser {
     @Test
     fun evaluateMstUnary() {
         val mst = "sin(0)".parseMath()
-        val res = DoubleField.evaluate(mst)
+        val res = mst.interpret(DoubleField)
         assertEquals(0.0, res)
     }
 
@@ -53,7 +53,7 @@ internal class TestParser {
         }
 
         val mst = "magic(a, b)".parseMath()
-        val res = magicalAlgebra.evaluate(mst)
+        val res = mst.interpret(magicalAlgebra)
         assertEquals("a ★ b", res)
     }
 }
diff --git a/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestParserPrecedence.kt b/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestParserPrecedence.kt
index bb6bb3ce1..42cf5ce58 100644
--- a/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestParserPrecedence.kt
+++ b/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestParserPrecedence.kt
@@ -5,35 +5,35 @@
 
 package space.kscience.kmath.ast
 
-import space.kscience.kmath.expressions.evaluate
+import space.kscience.kmath.expressions.interpret
 import space.kscience.kmath.operations.DoubleField
 import kotlin.test.Test
 import kotlin.test.assertEquals
 
 internal class TestParserPrecedence {
     @Test
-    fun test1(): Unit = assertEquals(6.0, f.evaluate("2*2+2".parseMath()))
+    fun test1(): Unit = assertEquals(6.0, "2*2+2".parseMath().interpret(f))
 
     @Test
-    fun test2(): Unit = assertEquals(6.0, f.evaluate("2+2*2".parseMath()))
+    fun test2(): Unit = assertEquals(6.0, "2+2*2".parseMath().interpret(f))
 
     @Test
-    fun test3(): Unit = assertEquals(10.0, f.evaluate("2^3+2".parseMath()))
+    fun test3(): Unit = assertEquals(10.0, "2^3+2".parseMath().interpret(f))
 
     @Test
-    fun test4(): Unit = assertEquals(10.0, f.evaluate("2+2^3".parseMath()))
+    fun test4(): Unit = assertEquals(10.0, "2+2^3".parseMath().interpret(f))
 
     @Test
-    fun test5(): Unit = assertEquals(16.0, f.evaluate("2^3*2".parseMath()))
+    fun test5(): Unit = assertEquals(16.0, "2^3*2".parseMath().interpret(f))
 
     @Test
-    fun test6(): Unit = assertEquals(16.0, f.evaluate("2*2^3".parseMath()))
+    fun test6(): Unit = assertEquals(16.0, "2*2^3".parseMath().interpret(f))
 
     @Test
-    fun test7(): Unit = assertEquals(18.0, f.evaluate("2+2^3*2".parseMath()))
+    fun test7(): Unit = assertEquals(18.0, "2+2^3*2".parseMath().interpret(f))
 
     @Test
-    fun test8(): Unit = assertEquals(18.0, f.evaluate("2*2^3+2".parseMath()))
+    fun test8(): Unit = assertEquals(18.0, "2*2^3+2".parseMath().interpret(f))
 
     private companion object {
         private val f = DoubleField
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/MST.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/MST.kt
index 7533024a1..24e96e845 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/MST.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/MST.kt
@@ -7,7 +7,7 @@ package space.kscience.kmath.expressions
 
 import space.kscience.kmath.operations.Algebra
 import space.kscience.kmath.operations.NumericAlgebra
-import space.kscience.kmath.operations.bindSymbol
+import space.kscience.kmath.operations.bindSymbolOrNull
 
 /**
  * A Mathematical Syntax Tree (MST) node for mathematical expressions.
@@ -43,66 +43,50 @@ public sealed interface MST {
 
 // TODO add a function with named arguments
 
-/**
- * Interprets the [MST] node with this [Algebra].
- *
- * @receiver the algebra that provides operations.
- * @param node the node to evaluate.
- * @return the value of expression.
- * @author Alexander Nozik
- */
-public fun <T> Algebra<T>.evaluate(node: MST): T = when (node) {
-    is MST.Numeric -> (this as? NumericAlgebra<T>)?.number(node.value)
-        ?: error("Numeric nodes are not supported by $this")
-
-    is Symbol -> bindSymbol(node)
-
-    is MST.Unary -> when {
-        this is NumericAlgebra && node.value is MST.Numeric -> unaryOperationFunction(node.operation)(number(node.value.value))
-        else -> unaryOperationFunction(node.operation)(evaluate(node.value))
-    }
-
-    is MST.Binary -> when {
-        this is NumericAlgebra && node.left is MST.Numeric && node.right is MST.Numeric ->
-            binaryOperationFunction(node.operation)(number(node.left.value), number(node.right.value))
-
-        this is NumericAlgebra && node.left is MST.Numeric ->
-            leftSideNumberOperationFunction(node.operation)(node.left.value, evaluate(node.right))
-
-        this is NumericAlgebra && node.right is MST.Numeric ->
-            rightSideNumberOperationFunction(node.operation)(evaluate(node.left), node.right.value)
-
-        else -> binaryOperationFunction(node.operation)(evaluate(node.left), evaluate(node.right))
-    }
-}
-
-internal class InnerAlgebra<T>(val algebra: Algebra<T>, val arguments: Map<Symbol, T>) : NumericAlgebra<T> {
-    override fun bindSymbolOrNull(value: String): T? = algebra.bindSymbolOrNull(value) ?: arguments[StringSymbol(value)]
-
-    override fun unaryOperation(operation: String, arg: T): T =
-        algebra.unaryOperation(operation, arg)
-
-    override fun binaryOperation(operation: String, left: T, right: T): T =
-        algebra.binaryOperation(operation, left, right)
-
-    override fun unaryOperationFunction(operation: String): (arg: T) -> T =
-        algebra.unaryOperationFunction(operation)
-
-    override fun binaryOperationFunction(operation: String): (left: T, right: T) -> T =
-        algebra.binaryOperationFunction(operation)
-
-    @Suppress("UNCHECKED_CAST")
-    override fun number(value: Number): T = if (algebra is NumericAlgebra<*>)
-        (algebra as NumericAlgebra<T>).number(value)
-    else
-        error("Numeric nodes are not supported by $this")
-}
 
 /**
  * Interprets the [MST] node with this [Algebra] and optional [arguments]
  */
-public fun <T> MST.interpret(algebra: Algebra<T>, arguments: Map<Symbol, T>): T =
-    InnerAlgebra(algebra, arguments).evaluate(this)
+public fun <T> MST.interpret(algebra: Algebra<T>, arguments: Map<Symbol, T>): T = when (this) {
+    is MST.Numeric -> (algebra as NumericAlgebra<T>?)?.number(value)
+        ?: error("Numeric nodes are not supported by $algebra")
+
+    is Symbol -> algebra.bindSymbolOrNull(this) ?: arguments.getValue(this)
+
+    is MST.Unary -> when {
+        algebra is NumericAlgebra && this.value is MST.Numeric -> algebra.unaryOperation(
+            this.operation,
+            algebra.number(this.value.value),
+        )
+        else -> algebra.unaryOperationFunction(this.operation)(this.value.interpret(algebra, arguments))
+    }
+
+    is MST.Binary -> when {
+        algebra is NumericAlgebra && this.left is MST.Numeric && this.right is MST.Numeric -> algebra.binaryOperation(
+            this.operation,
+            algebra.number(this.left.value),
+            algebra.number(this.right.value),
+        )
+
+        algebra is NumericAlgebra && this.left is MST.Numeric -> algebra.leftSideNumberOperation(
+            this.operation,
+            this.left.value,
+            this.right.interpret(algebra, arguments),
+        )
+
+        algebra is NumericAlgebra && this.right is MST.Numeric -> algebra.rightSideNumberOperation(
+            this.operation,
+            left.interpret(algebra, arguments),
+            right.value,
+        )
+
+        else -> algebra.binaryOperation(
+            this.operation,
+            this.left.interpret(algebra, arguments),
+            this.right.interpret(algebra, arguments),
+        )
+    }
+}
 
 /**
  * Interprets the [MST] node with this [Algebra] and optional [arguments]
@@ -111,12 +95,17 @@ public fun <T> MST.interpret(algebra: Algebra<T>, arguments: Map<Symbol, T>): T
  * @param algebra the algebra that provides operations.
  * @return the value of expression.
  */
-public fun <T> MST.interpret(algebra: Algebra<T>, vararg arguments: Pair<Symbol, T>): T =
-    interpret(algebra, mapOf(*arguments))
+public fun <T> MST.interpret(algebra: Algebra<T>, vararg arguments: Pair<Symbol, T>): T = interpret(
+    algebra,
+    when (arguments.size) {
+        0 -> emptyMap()
+        1 -> mapOf(arguments[0])
+        else -> hashMapOf(*arguments)
+    },
+)
 
 /**
  * Interpret this [MST] as expression.
  */
-public fun <T : Any> MST.toExpression(algebra: Algebra<T>): Expression<T> = Expression { arguments ->
-    interpret(algebra, arguments)
-}
+public fun <T : Any> MST.toExpression(algebra: Algebra<T>): Expression<T> =
+    Expression { arguments -> interpret(algebra, arguments) }

From 745a7ad66ef125d3f0b00de455109f8e62f2fa58 Mon Sep 17 00:00:00 2001
From: Iaroslav Postovalov <postovalovya@gmail.com>
Date: Sat, 5 Feb 2022 04:27:10 +0700
Subject: [PATCH 43/44] Add complete constant folding in kmath-ast by
 introducing TypedMst, some minor changes

---
 README.md                                     |   6 +
 kmath-ast/README.md                           |  63 ++++---
 kmath-ast/docs/README-TEMPLATE.md             | 114 +++++++----
 .../space/kscience/kmath/ast/TypedMst.kt      | 177 ++++++++++++++++++
 .../kscience/kmath/ast/evaluateConstants.kt   |  93 +++++++++
 .../space/kscience/kmath/ast/TestFolding.kt   |  52 +++++
 .../space/kscience/kmath/estree/estree.kt     |  89 +++------
 .../kmath/estree/internal/ESTreeBuilder.kt    |   2 +-
 .../kmath/wasm/internal/WasmBuilder.kt        |  67 +++----
 .../kotlin/space/kscience/kmath/wasm/wasm.kt  |  30 ++-
 .../kotlin/space/kscience/kmath/asm/asm.kt    | 135 +++++++------
 .../kmath/asm/internal/GenericAsmBuilder.kt   |   8 +-
 .../kmath/asm/internal/PrimitiveAsmBuilder.kt |  82 +++-----
 .../kmath/asm/internal/codegenUtils.kt        |   8 +-
 .../FunctionalExpressionAlgebra.kt            |   4 +-
 .../space/kscience/kmath/expressions/MST.kt   |   4 +-
 16 files changed, 622 insertions(+), 312 deletions(-)
 create mode 100644 kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/TypedMst.kt
 create mode 100644 kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/evaluateConstants.kt
 create mode 100644 kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestFolding.kt

diff --git a/README.md b/README.md
index 92260716e..99dd6d00f 100644
--- a/README.md
+++ b/README.md
@@ -247,6 +247,12 @@ One can still use generic algebras though.
 > **Maturity**: PROTOTYPE
 <hr/>
 
+* ### [kmath-tensorflow](kmath-tensorflow)
+> 
+>
+> **Maturity**: PROTOTYPE
+<hr/>
+
 * ### [kmath-tensors](kmath-tensors)
 > 
 >
diff --git a/kmath-ast/README.md b/kmath-ast/README.md
index 5e3366881..bedf17486 100644
--- a/kmath-ast/README.md
+++ b/kmath-ast/README.md
@@ -1,6 +1,6 @@
 # Module kmath-ast
 
-Performance and visualization extensions to MST API.
+Extensions to MST API: transformations, dynamic compilation and visualization.
 
  - [expression-language](src/commonMain/kotlin/space/kscience/kmath/ast/parser.kt) : Expression language and its parser
  - [mst-jvm-codegen](src/jvmMain/kotlin/space/kscience/kmath/asm/asm.kt) : Dynamic MST to JVM bytecode compiler
@@ -35,6 +35,26 @@ dependencies {
 }
 ```
 
+## Parsing expressions
+
+In this module there is a parser from human-readable strings like `"x^3-x+3"` (in the more specific [grammar](reference/ArithmeticsEvaluator.g4)) to MST instances.
+
+Supported literals:
+1. Constants and variables (consist of latin letters, digits and underscores, can't start with digit): `x`, `_Abc2`.
+2. Numbers: `123`, `1.02`, `1e10`, `1e-10`, `1.0e+3`&mdash;all parsed either as `kotlin.Long` or `kotlin.Double`.
+
+Supported binary operators (from the highest precedence to the lowest one):
+1. `^`
+2. `*`, `/`
+3. `+`, `-`
+
+Supported unary operator:
+1. `-`, e.&nbsp;g. `-x`
+
+Arbitrary unary and binary functions are also supported: names consist of latin letters, digits and underscores, can't start with digit. Examples:
+1. `sin(x)`
+2. `add(x, y)`
+
 ## Dynamic expression code generation
 
 ### On JVM
@@ -42,48 +62,41 @@ dependencies {
 `kmath-ast` JVM module supports runtime code generation to eliminate overhead of tree traversal. Code generator builds a
 special implementation of `Expression<T>` with implemented `invoke` function.
 
-For example, the following builder:
+For example, the following code:
 
 ```kotlin
-import space.kscience.kmath.expressions.Symbol.Companion.x
-import space.kscience.kmath.expressions.*
-import space.kscience.kmath.operations.*
-import space.kscience.kmath.asm.*
+import space.kscience.kmath.asm.compileToExpression
+import space.kscience.kmath.complex.ComplexField
 
-MstField { x + 2 }.compileToExpression(DoubleField)
-``` 
+"x+2".parseMath().compileToExpression(ComplexField)
+```
 
-... leads to generation of bytecode, which can be decompiled to the following Java class:
+&mldr; leads to generation of bytecode, which can be decompiled to the following Java class:
 
 ```java
-package space.kscience.kmath.asm.generated;
-
 import java.util.Map;
-
 import kotlin.jvm.functions.Function2;
 import space.kscience.kmath.asm.internal.MapIntrinsics;
+import space.kscience.kmath.complex.Complex;
 import space.kscience.kmath.expressions.Expression;
 import space.kscience.kmath.expressions.Symbol;
 
-public final class AsmCompiledExpression_45045_0 implements Expression<Double> {
+public final class CompiledExpression_45045_0 implements Expression<Complex> {
     private final Object[] constants;
 
-    public final Double invoke(Map<Symbol, ? extends Double> arguments) {
-        return (Double) ((Function2) this.constants[0]).invoke((Double) MapIntrinsics.getOrFail(arguments, "x"), 2);
-    }
-
-    public AsmCompiledExpression_45045_0(Object[] constants) {
-        this.constants = constants;
+    public Complex invoke(Map<Symbol, ? extends Complex> arguments) {
+        Complex var2 = (Complex)MapIntrinsics.getOrFail(arguments, "x");
+        return (Complex)((Function2)this.constants[0]).invoke(var2, (Complex)this.constants[1]);
     }
 }
-
 ```
 
-#### Known issues
+Setting JVM system property `space.kscience.kmath.ast.dump.generated.classes` to `1` makes the translator dump class files to program's working directory, so they can be reviewed manually.
 
-- The same classes may be generated and loaded twice, so it is recommended to cache compiled expressions to avoid class
-  loading overhead.
-- This API is not supported by non-dynamic JVM implementations (like TeaVM and GraalVM) because of using class loaders.
+#### Limitations
+
+- The same classes may be generated and loaded twice, so it is recommended to cache compiled expressions to avoid class loading overhead.
+- This API is not supported by non-dynamic JVM implementations like TeaVM or GraalVM Native Image because they may not support class loaders.
 
 ### On JS
 
@@ -129,7 +142,7 @@ An example of emitted Wasm IR in the form of WAT:
 )
 ```
 
-#### Known issues
+#### Limitations
 
 - ESTree expression compilation uses `eval` which can be unavailable in several environments.
 - WebAssembly isn't supported by old versions of browsers (see https://webassembly.org/roadmap/).
diff --git a/kmath-ast/docs/README-TEMPLATE.md b/kmath-ast/docs/README-TEMPLATE.md
index 9494af63a..e9e22f4d4 100644
--- a/kmath-ast/docs/README-TEMPLATE.md
+++ b/kmath-ast/docs/README-TEMPLATE.md
@@ -1,11 +1,31 @@
 # Module kmath-ast
 
-Performance and visualization extensions to MST API.
+Extensions to MST API: transformations, dynamic compilation and visualization.
 
 ${features}
 
 ${artifact}
 
+## Parsing expressions
+
+In this module there is a parser from human-readable strings like `"x^3-x+3"` (in the more specific [grammar](reference/ArithmeticsEvaluator.g4)) to MST instances.
+
+Supported literals:
+1. Constants and variables (consist of latin letters, digits and underscores, can't start with digit): `x`, `_Abc2`.
+2. Numbers: `123`, `1.02`, `1e10`, `1e-10`, `1.0e+3`&mdash;all parsed either as `kotlin.Long` or `kotlin.Double`.
+
+Supported binary operators (from the highest precedence to the lowest one):
+1. `^`
+2. `*`, `/`
+3. `+`, `-`
+
+Supported unary operator:
+1. `-`, e.&nbsp;g. `-x`
+
+Arbitrary unary and binary functions are also supported: names consist of latin letters, digits and underscores, can't start with digit. Examples:
+1. `sin(x)`
+2. `add(x, y)`
+
 ## Dynamic expression code generation
 
 ### On JVM
@@ -13,48 +33,66 @@ ${artifact}
 `kmath-ast` JVM module supports runtime code generation to eliminate overhead of tree traversal. Code generator builds a
 special implementation of `Expression<T>` with implemented `invoke` function.
 
-For example, the following builder:
+For example, the following code:
 
 ```kotlin
-import space.kscience.kmath.expressions.Symbol.Companion.x
-import space.kscience.kmath.expressions.*
-import space.kscience.kmath.operations.*
-import space.kscience.kmath.asm.*
-
-MstField { x + 2 }.compileToExpression(DoubleField)
-``` 
-
-... leads to generation of bytecode, which can be decompiled to the following Java class:
-
-```java
-package space.kscience.kmath.asm.generated;
-
-import java.util.Map;
-
-import kotlin.jvm.functions.Function2;
-import space.kscience.kmath.asm.internal.MapIntrinsics;
-import space.kscience.kmath.expressions.Expression;
-import space.kscience.kmath.expressions.Symbol;
-
-public final class AsmCompiledExpression_45045_0 implements Expression<Double> {
-    private final Object[] constants;
-
-    public final Double invoke(Map<Symbol, ? extends Double> arguments) {
-        return (Double) ((Function2) this.constants[0]).invoke((Double) MapIntrinsics.getOrFail(arguments, "x"), 2);
-    }
-
-    public AsmCompiledExpression_45045_0(Object[] constants) {
-        this.constants = constants;
-    }
-}
+import space.kscience.kmath.asm.compileToExpression
+import space.kscience.kmath.operations.DoubleField
 
+"x^3-x+3".parseMath().compileToExpression(DoubleField)
 ```
 
-#### Known issues
+&mldr; leads to generation of bytecode, which can be decompiled to the following Java class:
 
-- The same classes may be generated and loaded twice, so it is recommended to cache compiled expressions to avoid class
-  loading overhead.
-- This API is not supported by non-dynamic JVM implementations (like TeaVM and GraalVM) because of using class loaders.
+```java
+import java.util.*;
+import kotlin.jvm.functions.*;
+import space.kscience.kmath.asm.internal.*;
+import space.kscience.kmath.complex.*;
+import space.kscience.kmath.expressions.*;
+
+public final class CompiledExpression_45045_0 implements Expression<Complex> {
+    private final Object[] constants;
+
+    public Complex invoke(Map<Symbol, ? extends Complex> arguments) {
+        Complex var2 = (Complex)MapIntrinsics.getOrFail(arguments, "x");
+        return (Complex)((Function2)this.constants[0]).invoke(var2, (Complex)this.constants[1]);
+    }
+}
+```
+
+For `LongRing`, `IntRing`, and `DoubleField` specialization is supported for better performance:
+
+```java
+import java.util.*;
+import space.kscience.kmath.asm.internal.*;
+import space.kscience.kmath.expressions.*;
+
+public final class CompiledExpression_-386104628_0 implements DoubleExpression {
+    private final SymbolIndexer indexer;
+
+    public SymbolIndexer getIndexer() {
+        return this.indexer;
+    }
+
+    public double invoke(double[] arguments) {
+        double var2 = arguments[0];
+        return Math.pow(var2, 3.0D) - var2 + 3.0D;
+    }
+
+    public final Double invoke(Map<Symbol, ? extends Double> arguments) {
+        double var2 = ((Double)MapIntrinsics.getOrFail(arguments, "x")).doubleValue();
+        return Math.pow(var2, 3.0D) - var2 + 3.0D;
+    }
+}
+```
+
+Setting JVM system property `space.kscience.kmath.ast.dump.generated.classes` to `1` makes the translator dump class files to program's working directory, so they can be reviewed manually.
+
+#### Limitations
+
+- The same classes may be generated and loaded twice, so it is recommended to cache compiled expressions to avoid class loading overhead.
+- This API is not supported by non-dynamic JVM implementations like TeaVM or GraalVM Native Image because they may not support class loaders.
 
 ### On JS
 
@@ -100,7 +138,7 @@ An example of emitted Wasm IR in the form of WAT:
 )
 ```
 
-#### Known issues
+#### Limitations
 
 - ESTree expression compilation uses `eval` which can be unavailable in several environments.
 - WebAssembly isn't supported by old versions of browsers (see https://webassembly.org/roadmap/).
diff --git a/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/TypedMst.kt b/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/TypedMst.kt
new file mode 100644
index 000000000..8a8b8797d
--- /dev/null
+++ b/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/TypedMst.kt
@@ -0,0 +1,177 @@
+/*
+ * Copyright 2018-2021 KMath contributors.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
+ */
+
+package space.kscience.kmath.ast
+
+import space.kscience.kmath.expressions.Expression
+import space.kscience.kmath.expressions.Symbol
+import space.kscience.kmath.misc.UnstableKMathAPI
+import space.kscience.kmath.operations.Algebra
+import space.kscience.kmath.operations.NumericAlgebra
+
+/**
+ * MST form where all values belong to the type [T]. It is optimal for constant folding, dynamic compilation, etc.
+ *
+ * @param T the type.
+ */
+@UnstableKMathAPI
+public sealed interface TypedMst<T> {
+    /**
+     * A node containing a unary operation.
+     *
+     * @param T the type.
+     * @property operation The identifier of operation.
+     * @property function The function implementing this operation.
+     * @property value The argument of this operation.
+     */
+    public class Unary<T>(public val operation: String, public val function: (T) -> T, public val value: TypedMst<T>) :
+        TypedMst<T> {
+        override fun equals(other: Any?): Boolean {
+            if (this === other) return true
+            if (other == null || this::class != other::class) return false
+            other as Unary<*>
+            if (operation != other.operation) return false
+            if (value != other.value) return false
+            return true
+        }
+
+        override fun hashCode(): Int {
+            var result = operation.hashCode()
+            result = 31 * result + value.hashCode()
+            return result
+        }
+
+        override fun toString(): String = "Unary(operation=$operation, value=$value)"
+    }
+
+    /**
+     * A node containing binary operation.
+     *
+     * @param T the type.
+     * @property operation The identifier of operation.
+     * @property function The binary function implementing this operation.
+     * @property left The left operand.
+     * @property right The right operand.
+     */
+    public class Binary<T>(
+        public val operation: String,
+        public val function: Function<T>,
+        public val left: TypedMst<T>,
+        public val right: TypedMst<T>,
+    ) : TypedMst<T> {
+        override fun equals(other: Any?): Boolean {
+            if (this === other) return true
+            if (other == null || this::class != other::class) return false
+
+            other as Binary<*>
+
+            if (operation != other.operation) return false
+            if (left != other.left) return false
+            if (right != other.right) return false
+
+            return true
+        }
+
+        override fun hashCode(): Int {
+            var result = operation.hashCode()
+            result = 31 * result + left.hashCode()
+            result = 31 * result + right.hashCode()
+            return result
+        }
+
+        override fun toString(): String = "Binary(operation=$operation, left=$left, right=$right)"
+    }
+
+    /**
+     * The non-numeric constant value.
+     *
+     * @param T the type.
+     * @property value The held value.
+     * @property number The number this value corresponds.
+     */
+    public class Constant<T>(public val value: T, public val number: Number?) : TypedMst<T> {
+        override fun equals(other: Any?): Boolean {
+            if (this === other) return true
+            if (other == null || this::class != other::class) return false
+            other as Constant<*>
+            if (value != other.value) return false
+            if (number != other.number) return false
+            return true
+        }
+
+        override fun hashCode(): Int {
+            var result = value?.hashCode() ?: 0
+            result = 31 * result + (number?.hashCode() ?: 0)
+            return result
+        }
+
+        override fun toString(): String = "Constant(value=$value, number=$number)"
+    }
+
+    /**
+     * The node containing a variable
+     *
+     * @param T the type.
+     * @property symbol The symbol of the variable.
+     */
+    public class Variable<T>(public val symbol: Symbol) : TypedMst<T> {
+        override fun equals(other: Any?): Boolean {
+            if (this === other) return true
+            if (other == null || this::class != other::class) return false
+            other as Variable<*>
+            if (symbol != other.symbol) return false
+            return true
+        }
+
+        override fun hashCode(): Int = symbol.hashCode()
+        override fun toString(): String = "Variable(symbol=$symbol)"
+    }
+}
+
+/**
+ * Interprets the [TypedMst] node with this [Algebra] and [arguments].
+ */
+@UnstableKMathAPI
+public fun <T> TypedMst<T>.interpret(algebra: Algebra<T>, arguments: Map<Symbol, T>): T = when (this) {
+    is TypedMst.Unary -> algebra.unaryOperation(operation, interpret(algebra, arguments))
+
+    is TypedMst.Binary -> when {
+        algebra is NumericAlgebra && left is TypedMst.Constant && left.number != null ->
+            algebra.leftSideNumberOperation(operation, left.number, right.interpret(algebra, arguments))
+
+        algebra is NumericAlgebra && right is TypedMst.Constant && right.number != null ->
+            algebra.rightSideNumberOperation(operation, left.interpret(algebra, arguments), right.number)
+
+        else -> algebra.binaryOperation(
+            operation,
+            left.interpret(algebra, arguments),
+            right.interpret(algebra, arguments),
+        )
+    }
+
+    is TypedMst.Constant -> value
+    is TypedMst.Variable -> arguments.getValue(symbol)
+}
+
+/**
+ * Interprets the [TypedMst] node with this [Algebra] and optional [arguments].
+ */
+@UnstableKMathAPI
+public fun <T> TypedMst<T>.interpret(algebra: Algebra<T>, vararg arguments: Pair<Symbol, T>): T = interpret(
+    algebra,
+    when (arguments.size) {
+        0 -> emptyMap()
+        1 -> mapOf(arguments[0])
+        else -> hashMapOf(*arguments)
+    },
+)
+
+/**
+ * Interpret this [TypedMst] node as expression.
+ */
+@UnstableKMathAPI
+public fun <T : Any> TypedMst<T>.toExpression(algebra: Algebra<T>): Expression<T> = Expression { arguments ->
+    interpret(algebra, arguments)
+}
diff --git a/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/evaluateConstants.kt b/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/evaluateConstants.kt
new file mode 100644
index 000000000..71fb154c9
--- /dev/null
+++ b/kmath-ast/src/commonMain/kotlin/space/kscience/kmath/ast/evaluateConstants.kt
@@ -0,0 +1,93 @@
+/*
+ * Copyright 2018-2021 KMath contributors.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
+ */
+
+package space.kscience.kmath.ast
+
+import space.kscience.kmath.expressions.MST
+import space.kscience.kmath.expressions.Symbol
+import space.kscience.kmath.misc.UnstableKMathAPI
+import space.kscience.kmath.operations.Algebra
+import space.kscience.kmath.operations.NumericAlgebra
+import space.kscience.kmath.operations.bindSymbolOrNull
+
+/**
+ * Evaluates constants in given [MST] for given [algebra] at the same time with converting to [TypedMst].
+ */
+@UnstableKMathAPI
+public fun <T> MST.evaluateConstants(algebra: Algebra<T>): TypedMst<T> = when (this) {
+    is MST.Numeric -> TypedMst.Constant(
+        (algebra as? NumericAlgebra<T>)?.number(value) ?: error("Numeric nodes are not supported by $algebra"),
+        value,
+    )
+
+    is MST.Unary -> when (val arg = value.evaluateConstants(algebra)) {
+        is TypedMst.Constant<T> -> {
+            val value = algebra.unaryOperation(
+                operation,
+                arg.value,
+            )
+
+            TypedMst.Constant(value, if (value is Number) value else null)
+        }
+
+        else -> TypedMst.Unary(operation, algebra.unaryOperationFunction(operation), arg)
+    }
+
+    is MST.Binary -> {
+        val left = left.evaluateConstants(algebra)
+        val right = right.evaluateConstants(algebra)
+
+        when {
+            left is TypedMst.Constant<T> && right is TypedMst.Constant<T> -> {
+                val value = when {
+                    algebra is NumericAlgebra && left.number != null -> algebra.leftSideNumberOperation(
+                        operation,
+                        left.number,
+                        right.value,
+                    )
+
+                    algebra is NumericAlgebra && right.number != null -> algebra.rightSideNumberOperation(
+                        operation,
+                        left.value,
+                        right.number,
+                    )
+
+                    else -> algebra.binaryOperation(
+                        operation,
+                        left.value,
+                        right.value,
+                    )
+                }
+
+                TypedMst.Constant(value, if (value is Number) value else null)
+            }
+
+            algebra is NumericAlgebra && left is TypedMst.Constant && left.number != null -> TypedMst.Binary(
+                operation,
+                algebra.leftSideNumberOperationFunction(operation),
+                left,
+                right,
+            )
+
+            algebra is NumericAlgebra && right is TypedMst.Constant && right.number != null -> TypedMst.Binary(
+                operation,
+                algebra.rightSideNumberOperationFunction(operation),
+                left,
+                right,
+            )
+
+            else -> TypedMst.Binary(operation, algebra.binaryOperationFunction(operation), left, right)
+        }
+    }
+
+    is Symbol -> {
+        val boundSymbol = algebra.bindSymbolOrNull(this)
+
+        if (boundSymbol != null)
+            TypedMst.Constant(boundSymbol, if (boundSymbol is Number) boundSymbol else null)
+        else
+            TypedMst.Variable(this)
+    }
+}
diff --git a/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestFolding.kt b/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestFolding.kt
new file mode 100644
index 000000000..954a0f330
--- /dev/null
+++ b/kmath-ast/src/commonTest/kotlin/space/kscience/kmath/ast/TestFolding.kt
@@ -0,0 +1,52 @@
+/*
+ * Copyright 2018-2021 KMath contributors.
+ * Use of this source code is governed by the Apache 2.0 license that can be found in the license/LICENSE.txt file.
+ */
+
+package space.kscience.kmath.ast
+
+import space.kscience.kmath.operations.ByteRing
+import space.kscience.kmath.operations.DoubleField
+import space.kscience.kmath.operations.IntRing
+import space.kscience.kmath.operations.pi
+import kotlin.test.Test
+import kotlin.test.assertEquals
+import kotlin.test.fail
+
+internal class TestFolding {
+    @Test
+    fun foldUnary() = assertEquals(
+        -1,
+        ("-(1)".parseMath().evaluateConstants(IntRing) as? TypedMst.Constant<Int> ?: fail()).value,
+    )
+
+    @Test
+    fun foldDeepUnary() = assertEquals(
+        1,
+        ("-(-(1))".parseMath().evaluateConstants(IntRing) as? TypedMst.Constant<Int> ?: fail()).value,
+    )
+
+    @Test
+    fun foldBinary() = assertEquals(
+        2,
+        ("1*2".parseMath().evaluateConstants(IntRing) as? TypedMst.Constant<Int> ?: fail()).value,
+    )
+
+    @Test
+    fun foldDeepBinary() = assertEquals(
+        10,
+        ("1*2*5".parseMath().evaluateConstants(IntRing) as? TypedMst.Constant<Int> ?: fail()).value,
+    )
+
+    @Test
+    fun foldSymbol() = assertEquals(
+        DoubleField.pi,
+        ("pi".parseMath().evaluateConstants(DoubleField) as? TypedMst.Constant<Double> ?: fail()).value,
+    )
+
+    @Test
+    fun foldNumeric() = assertEquals(
+        42.toByte(),
+        ("42".parseMath().evaluateConstants(ByteRing) as? TypedMst.Constant<Byte> ?: fail()).value,
+    )
+}
diff --git a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/estree/estree.kt b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/estree/estree.kt
index a6b6e022b..a8b1aa2e1 100644
--- a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/estree/estree.kt
+++ b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/estree/estree.kt
@@ -5,87 +5,48 @@
 
 package space.kscience.kmath.estree
 
+import space.kscience.kmath.ast.TypedMst
+import space.kscience.kmath.ast.evaluateConstants
 import space.kscience.kmath.estree.internal.ESTreeBuilder
 import space.kscience.kmath.expressions.Expression
 import space.kscience.kmath.expressions.MST
-import space.kscience.kmath.expressions.MST.*
 import space.kscience.kmath.expressions.Symbol
 import space.kscience.kmath.expressions.invoke
 import space.kscience.kmath.internal.estree.BaseExpression
+import space.kscience.kmath.misc.UnstableKMathAPI
 import space.kscience.kmath.operations.Algebra
-import space.kscience.kmath.operations.NumericAlgebra
-import space.kscience.kmath.operations.bindSymbolOrNull
-
-@PublishedApi
-internal fun <T> MST.compileWith(algebra: Algebra<T>): Expression<T> {
-    fun ESTreeBuilder<T>.visit(node: MST): BaseExpression = when (node) {
-        is Symbol -> {
-            val symbol = algebra.bindSymbolOrNull(node)
-
-            if (symbol != null)
-                constant(symbol)
-            else
-                variable(node.identity)
-        }
-
-        is Numeric -> constant(
-            (algebra as? NumericAlgebra<T>)?.number(node.value) ?: error("Numeric nodes are not supported by $this")
-        )
-
-        is Unary -> when {
-            algebra is NumericAlgebra && node.value is Numeric -> constant(
-                algebra.unaryOperationFunction(node.operation)(algebra.number((node.value as Numeric).value))
-            )
-
-            else -> call(algebra.unaryOperationFunction(node.operation), visit(node.value))
-        }
-
-        is Binary -> when {
-            algebra is NumericAlgebra && node.left is Numeric && node.right is Numeric -> constant(
-                algebra.binaryOperationFunction(node.operation).invoke(
-                    algebra.number((node.left as Numeric).value),
-                    algebra.number((node.right as Numeric).value)
-                )
-            )
-
-            algebra is NumericAlgebra && node.left is Numeric -> call(
-                algebra.leftSideNumberOperationFunction(node.operation),
-                visit(node.left),
-                visit(node.right),
-            )
-
-            algebra is NumericAlgebra && node.right is Numeric -> call(
-                algebra.rightSideNumberOperationFunction(node.operation),
-                visit(node.left),
-                visit(node.right),
-            )
-
-            else -> call(
-                algebra.binaryOperationFunction(node.operation),
-                visit(node.left),
-                visit(node.right),
-            )
-        }
-    }
-
-    return ESTreeBuilder<T> { visit(this@compileWith) }.instance
-}
 
 /**
  * Create a compiled expression with given [MST] and given [algebra].
  */
-public fun <T : Any> MST.compileToExpression(algebra: Algebra<T>): Expression<T> = compileWith(algebra)
+@OptIn(UnstableKMathAPI::class)
+public fun <T : Any> MST.compileToExpression(algebra: Algebra<T>): Expression<T> {
+    val typed = evaluateConstants(algebra)
+    if (typed is TypedMst.Constant<T>) return Expression { typed.value }
 
+    fun ESTreeBuilder<T>.visit(node: TypedMst<T>): BaseExpression = when (node) {
+        is TypedMst.Constant -> constant(node.value)
+        is TypedMst.Variable -> variable(node.symbol)
+        is TypedMst.Unary -> call(node.function, visit(node.value))
+
+        is TypedMst.Binary -> call(
+            node.function,
+            visit(node.left),
+            visit(node.right),
+        )
+    }
+
+    return ESTreeBuilder<T> { visit(typed) }.instance
+}
 
 /**
  * Compile given MST to expression and evaluate it against [arguments]
  */
-public inline fun <reified T : Any> MST.compile(algebra: Algebra<T>, arguments: Map<Symbol, T>): T =
-    compileToExpression(algebra).invoke(arguments)
-
+public fun <T : Any> MST.compile(algebra: Algebra<T>, arguments: Map<Symbol, T>): T =
+    compileToExpression(algebra)(arguments)
 
 /**
  * Compile given MST to expression and evaluate it against [arguments]
  */
-public inline fun <reified T : Any> MST.compile(algebra: Algebra<T>, vararg arguments: Pair<Symbol, T>): T =
-    compileToExpression(algebra).invoke(*arguments)
+public fun <T : Any> MST.compile(algebra: Algebra<T>, vararg arguments: Pair<Symbol, T>): T =
+    compileToExpression(algebra)(*arguments)
diff --git a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/estree/internal/ESTreeBuilder.kt b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/estree/internal/ESTreeBuilder.kt
index 4907d8225..10a6c4a16 100644
--- a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/estree/internal/ESTreeBuilder.kt
+++ b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/estree/internal/ESTreeBuilder.kt
@@ -61,7 +61,7 @@ internal class ESTreeBuilder<T>(val bodyCallback: ESTreeBuilder<T>.() -> BaseExp
         }
     }
 
-    fun variable(name: String): BaseExpression = call(getOrFail, Identifier("arguments"), SimpleLiteral(name))
+    fun variable(name: Symbol): BaseExpression = call(getOrFail, Identifier("arguments"), SimpleLiteral(name.identity))
 
     fun call(function: Function<T>, vararg args: BaseExpression): BaseExpression = SimpleCallExpression(
         optional = false,
diff --git a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/internal/WasmBuilder.kt b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/internal/WasmBuilder.kt
index 96090a633..aacb62f36 100644
--- a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/internal/WasmBuilder.kt
+++ b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/internal/WasmBuilder.kt
@@ -5,8 +5,8 @@
 
 package space.kscience.kmath.wasm.internal
 
+import space.kscience.kmath.ast.TypedMst
 import space.kscience.kmath.expressions.*
-import space.kscience.kmath.expressions.MST.*
 import space.kscience.kmath.internal.binaryen.*
 import space.kscience.kmath.internal.webassembly.Instance
 import space.kscience.kmath.misc.UnstableKMathAPI
@@ -16,11 +16,12 @@ import space.kscience.kmath.internal.webassembly.Module as WasmModule
 
 private val spreader = eval("(obj, args) => obj(...args)")
 
+@OptIn(UnstableKMathAPI::class)
 @Suppress("UnsafeCastFromDynamic")
 internal sealed class WasmBuilder<T : Number, out E : Expression<T>>(
     protected val binaryenType: Type,
     protected val algebra: Algebra<T>,
-    protected val target: MST,
+    protected val target: TypedMst<T>,
 ) {
     protected val keys: MutableList<Symbol> = mutableListOf()
     protected lateinit var ctx: BinaryenModule
@@ -51,59 +52,41 @@ internal sealed class WasmBuilder<T : Number, out E : Expression<T>>(
         Instance(c, js("{}")).exports.executable
     }
 
-    protected open fun visitSymbol(node: Symbol): ExpressionRef {
-        algebra.bindSymbolOrNull(node)?.let { return visitNumeric(Numeric(it)) }
+    protected abstract fun visitNumber(number: Number): ExpressionRef
 
-        var idx = keys.indexOf(node)
+    protected open fun visitVariable(node: TypedMst.Variable<T>): ExpressionRef {
+        var idx = keys.indexOf(node.symbol)
 
         if (idx == -1) {
-            keys += node
+            keys += node.symbol
             idx = keys.lastIndex
         }
 
         return ctx.local.get(idx, binaryenType)
     }
 
-    protected abstract fun visitNumeric(node: Numeric): ExpressionRef
-
-    protected open fun visitUnary(node: Unary): ExpressionRef =
+    protected open fun visitUnary(node: TypedMst.Unary<T>): ExpressionRef =
         error("Unary operation ${node.operation} not defined in $this")
 
-    protected open fun visitBinary(mst: Binary): ExpressionRef =
+    protected open fun visitBinary(mst: TypedMst.Binary<T>): ExpressionRef =
         error("Binary operation ${mst.operation} not defined in $this")
 
     protected open fun createModule(): BinaryenModule = js("new \$module\$binaryen.Module()")
 
-    protected fun visit(node: MST): ExpressionRef = when (node) {
-        is Symbol -> visitSymbol(node)
-        is Numeric -> visitNumeric(node)
+    protected fun visit(node: TypedMst<T>): ExpressionRef = when (node) {
+        is TypedMst.Constant -> visitNumber(
+            node.number ?: error("Object constants are not supported by pritimive ASM builder"),
+        )
 
-        is Unary -> when {
-            algebra is NumericAlgebra && node.value is Numeric -> visitNumeric(
-                Numeric(algebra.unaryOperationFunction(node.operation)(algebra.number((node.value as Numeric).value)))
-            )
-
-            else -> visitUnary(node)
-        }
-
-        is Binary -> when {
-            algebra is NumericAlgebra && node.left is Numeric && node.right is Numeric -> visitNumeric(
-                Numeric(
-                    algebra.binaryOperationFunction(node.operation)
-                        .invoke(
-                            algebra.number((node.left as Numeric).value),
-                            algebra.number((node.right as Numeric).value)
-                        )
-                )
-            )
-
-            else -> visitBinary(node)
-        }
+        is TypedMst.Variable -> visitVariable(node)
+        is TypedMst.Unary -> visitUnary(node)
+        is TypedMst.Binary -> visitBinary(node)
     }
 }
 
 @UnstableKMathAPI
-internal class DoubleWasmBuilder(target: MST) : WasmBuilder<Double, DoubleExpression>(f64, DoubleField, target) {
+internal class DoubleWasmBuilder(target: TypedMst<Double>) :
+    WasmBuilder<Double, DoubleExpression>(f64, DoubleField, target) {
     override val instance by lazy {
         object : DoubleExpression {
             override val indexer = SimpleSymbolIndexer(keys)
@@ -114,9 +97,9 @@ internal class DoubleWasmBuilder(target: MST) : WasmBuilder<Double, DoubleExpres
 
     override fun createModule() = readBinary(f64StandardFunctions)
 
-    override fun visitNumeric(node: Numeric) = ctx.f64.const(node.value.toDouble())
+    override fun visitNumber(number: Number) = ctx.f64.const(number.toDouble())
 
-    override fun visitUnary(node: Unary): ExpressionRef = when (node.operation) {
+    override fun visitUnary(node: TypedMst.Unary<Double>): ExpressionRef = when (node.operation) {
         GroupOps.MINUS_OPERATION -> ctx.f64.neg(visit(node.value))
         GroupOps.PLUS_OPERATION -> visit(node.value)
         PowerOperations.SQRT_OPERATION -> ctx.f64.sqrt(visit(node.value))
@@ -137,7 +120,7 @@ internal class DoubleWasmBuilder(target: MST) : WasmBuilder<Double, DoubleExpres
         else -> super.visitUnary(node)
     }
 
-    override fun visitBinary(mst: Binary): ExpressionRef = when (mst.operation) {
+    override fun visitBinary(mst: TypedMst.Binary<Double>): ExpressionRef = when (mst.operation) {
         GroupOps.PLUS_OPERATION -> ctx.f64.add(visit(mst.left), visit(mst.right))
         GroupOps.MINUS_OPERATION -> ctx.f64.sub(visit(mst.left), visit(mst.right))
         RingOps.TIMES_OPERATION -> ctx.f64.mul(visit(mst.left), visit(mst.right))
@@ -148,7 +131,7 @@ internal class DoubleWasmBuilder(target: MST) : WasmBuilder<Double, DoubleExpres
 }
 
 @UnstableKMathAPI
-internal class IntWasmBuilder(target: MST) : WasmBuilder<Int, IntExpression>(i32, IntRing, target) {
+internal class IntWasmBuilder(target: TypedMst<Int>) : WasmBuilder<Int, IntExpression>(i32, IntRing, target) {
     override val instance by lazy {
         object : IntExpression {
             override val indexer = SimpleSymbolIndexer(keys)
@@ -157,15 +140,15 @@ internal class IntWasmBuilder(target: MST) : WasmBuilder<Int, IntExpression>(i32
         }
     }
 
-    override fun visitNumeric(node: Numeric) = ctx.i32.const(node.value.toInt())
+    override fun visitNumber(number: Number) = ctx.i32.const(number.toInt())
 
-    override fun visitUnary(node: Unary): ExpressionRef = when (node.operation) {
+    override fun visitUnary(node: TypedMst.Unary<Int>): ExpressionRef = when (node.operation) {
         GroupOps.MINUS_OPERATION -> ctx.i32.sub(ctx.i32.const(0), visit(node.value))
         GroupOps.PLUS_OPERATION -> visit(node.value)
         else -> super.visitUnary(node)
     }
 
-    override fun visitBinary(mst: Binary): ExpressionRef = when (mst.operation) {
+    override fun visitBinary(mst: TypedMst.Binary<Int>): ExpressionRef = when (mst.operation) {
         GroupOps.PLUS_OPERATION -> ctx.i32.add(visit(mst.left), visit(mst.right))
         GroupOps.MINUS_OPERATION -> ctx.i32.sub(visit(mst.left), visit(mst.right))
         RingOps.TIMES_OPERATION -> ctx.i32.mul(visit(mst.left), visit(mst.right))
diff --git a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/wasm.kt b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/wasm.kt
index 12e6b41af..f9540f9db 100644
--- a/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/wasm.kt
+++ b/kmath-ast/src/jsMain/kotlin/space/kscience/kmath/wasm/wasm.kt
@@ -7,7 +7,8 @@
 
 package space.kscience.kmath.wasm
 
-import space.kscience.kmath.estree.compileWith
+import space.kscience.kmath.ast.TypedMst
+import space.kscience.kmath.ast.evaluateConstants
 import space.kscience.kmath.expressions.*
 import space.kscience.kmath.misc.UnstableKMathAPI
 import space.kscience.kmath.operations.DoubleField
@@ -21,8 +22,16 @@ import space.kscience.kmath.wasm.internal.IntWasmBuilder
  * @author Iaroslav Postovalov
  */
 @UnstableKMathAPI
-public fun MST.compileToExpression(algebra: IntRing): IntExpression = IntWasmBuilder(this).instance
+public fun MST.compileToExpression(algebra: IntRing): IntExpression {
+    val typed = evaluateConstants(algebra)
 
+    return if (typed is TypedMst.Constant) object : IntExpression {
+        override val indexer = SimpleSymbolIndexer(emptyList())
+
+        override fun invoke(arguments: IntArray): Int = typed.value
+    } else
+        IntWasmBuilder(typed).instance
+}
 
 /**
  * Compile given MST to expression and evaluate it against [arguments].
@@ -31,7 +40,7 @@ public fun MST.compileToExpression(algebra: IntRing): IntExpression = IntWasmBui
  */
 @UnstableKMathAPI
 public fun MST.compile(algebra: IntRing, arguments: Map<Symbol, Int>): Int =
-    compileToExpression(algebra).invoke(arguments)
+    compileToExpression(algebra)(arguments)
 
 
 /**
@@ -49,7 +58,16 @@ public fun MST.compile(algebra: IntRing, vararg arguments: Pair<Symbol, Int>): I
  * @author Iaroslav Postovalov
  */
 @UnstableKMathAPI
-public fun MST.compileToExpression(algebra: DoubleField): Expression<Double> = DoubleWasmBuilder(this).instance
+public fun MST.compileToExpression(algebra: DoubleField): Expression<Double> {
+    val typed = evaluateConstants(algebra)
+
+    return if (typed is TypedMst.Constant) object : DoubleExpression {
+        override val indexer = SimpleSymbolIndexer(emptyList())
+
+        override fun invoke(arguments: DoubleArray): Double = typed.value
+    } else
+        DoubleWasmBuilder(typed).instance
+}
 
 
 /**
@@ -59,7 +77,7 @@ public fun MST.compileToExpression(algebra: DoubleField): Expression<Double> = D
  */
 @UnstableKMathAPI
 public fun MST.compile(algebra: DoubleField, arguments: Map<Symbol, Double>): Double =
-    compileToExpression(algebra).invoke(arguments)
+    compileToExpression(algebra)(arguments)
 
 
 /**
@@ -69,4 +87,4 @@ public fun MST.compile(algebra: DoubleField, arguments: Map<Symbol, Double>): Do
  */
 @UnstableKMathAPI
 public fun MST.compile(algebra: DoubleField, vararg arguments: Pair<Symbol, Double>): Double =
-    compileToExpression(algebra).invoke(*arguments)
+    compileToExpression(algebra)(*arguments)
diff --git a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/asm.kt b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/asm.kt
index 8e426622d..73b9c97a7 100644
--- a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/asm.kt
+++ b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/asm.kt
@@ -8,10 +8,14 @@
 package space.kscience.kmath.asm
 
 import space.kscience.kmath.asm.internal.*
+import space.kscience.kmath.ast.TypedMst
+import space.kscience.kmath.ast.evaluateConstants
 import space.kscience.kmath.expressions.*
-import space.kscience.kmath.expressions.MST.*
 import space.kscience.kmath.misc.UnstableKMathAPI
-import space.kscience.kmath.operations.*
+import space.kscience.kmath.operations.Algebra
+import space.kscience.kmath.operations.DoubleField
+import space.kscience.kmath.operations.IntRing
+import space.kscience.kmath.operations.LongRing
 
 /**
  * Compiles given MST to an Expression using AST compiler.
@@ -21,102 +25,64 @@ import space.kscience.kmath.operations.*
  * @return the compiled expression.
  * @author Alexander Nozik
  */
+@OptIn(UnstableKMathAPI::class)
 @PublishedApi
 internal fun <T : Any> MST.compileWith(type: Class<T>, algebra: Algebra<T>): Expression<T> {
-    fun GenericAsmBuilder<T>.variablesVisitor(node: MST): Unit = when (node) {
-        is Symbol -> prepareVariable(node.identity)
-        is Unary -> variablesVisitor(node.value)
+    val typed = evaluateConstants(algebra)
+    if (typed is TypedMst.Constant<T>) return Expression { typed.value }
 
-        is Binary -> {
+    fun GenericAsmBuilder<T>.variablesVisitor(node: TypedMst<T>): Unit = when (node) {
+        is TypedMst.Unary -> variablesVisitor(node.value)
+
+        is TypedMst.Binary -> {
             variablesVisitor(node.left)
             variablesVisitor(node.right)
         }
 
-        else -> Unit
+        is TypedMst.Variable -> prepareVariable(node.symbol)
+        is TypedMst.Constant -> Unit
     }
 
-    fun GenericAsmBuilder<T>.expressionVisitor(node: MST): Unit = when (node) {
-        is Symbol -> {
-            val symbol = algebra.bindSymbolOrNull(node)
+    fun GenericAsmBuilder<T>.expressionVisitor(node: TypedMst<T>): Unit = when (node) {
+        is TypedMst.Constant -> if (node.number != null)
+            loadNumberConstant(node.number)
+        else
+            loadObjectConstant(node.value)
 
-            if (symbol != null)
-                loadObjectConstant(symbol as Any)
-            else
-                loadVariable(node.identity)
-        }
+        is TypedMst.Variable -> loadVariable(node.symbol)
+        is TypedMst.Unary -> buildCall(node.function) { expressionVisitor(node.value) }
 
-        is Numeric -> if (algebra is NumericAlgebra) {
-            if (Number::class.java.isAssignableFrom(type))
-                loadNumberConstant(algebra.number(node.value) as Number)
-            else
-                loadObjectConstant(algebra.number(node.value))
-        } else
-            error("Numeric nodes are not supported by $this")
-
-        is Unary -> when {
-            algebra is NumericAlgebra && node.value is Numeric -> loadObjectConstant(
-                algebra.unaryOperationFunction(node.operation)(algebra.number((node.value as Numeric).value)),
-            )
-
-            else -> buildCall(algebra.unaryOperationFunction(node.operation)) { expressionVisitor(node.value) }
-        }
-
-        is Binary -> when {
-            algebra is NumericAlgebra && node.left is Numeric && node.right is Numeric -> loadObjectConstant(
-                algebra.binaryOperationFunction(node.operation).invoke(
-                    algebra.number((node.left as Numeric).value),
-                    algebra.number((node.right as Numeric).value),
-                )
-            )
-
-            algebra is NumericAlgebra && node.left is Numeric -> buildCall(
-                algebra.leftSideNumberOperationFunction(node.operation),
-            ) {
-                expressionVisitor(node.left)
-                expressionVisitor(node.right)
-            }
-
-            algebra is NumericAlgebra && node.right is Numeric -> buildCall(
-                algebra.rightSideNumberOperationFunction(node.operation),
-            ) {
-                expressionVisitor(node.left)
-                expressionVisitor(node.right)
-            }
-
-            else -> buildCall(algebra.binaryOperationFunction(node.operation)) {
-                expressionVisitor(node.left)
-                expressionVisitor(node.right)
-            }
+        is TypedMst.Binary -> buildCall(node.function) {
+            expressionVisitor(node.left)
+            expressionVisitor(node.right)
         }
     }
 
     return GenericAsmBuilder<T>(
         type,
-        buildName(this),
-        { variablesVisitor(this@compileWith) },
-        { expressionVisitor(this@compileWith) },
+        buildName("${typed.hashCode()}_${type.simpleName}"),
+        { variablesVisitor(typed) },
+        { expressionVisitor(typed) },
     ).instance
 }
 
-
 /**
  * Create a compiled expression with given [MST] and given [algebra].
  */
 public inline fun <reified T : Any> MST.compileToExpression(algebra: Algebra<T>): Expression<T> =
     compileWith(T::class.java, algebra)
 
-
 /**
  * Compile given MST to expression and evaluate it against [arguments]
  */
 public inline fun <reified T : Any> MST.compile(algebra: Algebra<T>, arguments: Map<Symbol, T>): T =
-    compileToExpression(algebra).invoke(arguments)
+    compileToExpression(algebra)(arguments)
 
 /**
  * Compile given MST to expression and evaluate it against [arguments]
  */
 public inline fun <reified T : Any> MST.compile(algebra: Algebra<T>, vararg arguments: Pair<Symbol, T>): T =
-    compileToExpression(algebra).invoke(*arguments)
+    compileToExpression(algebra)(*arguments)
 
 
 /**
@@ -125,7 +91,16 @@ public inline fun <reified T : Any> MST.compile(algebra: Algebra<T>, vararg argu
  * @author Iaroslav Postovalov
  */
 @UnstableKMathAPI
-public fun MST.compileToExpression(algebra: IntRing): IntExpression = IntAsmBuilder(this).instance
+public fun MST.compileToExpression(algebra: IntRing): IntExpression  {
+    val typed = evaluateConstants(algebra)
+
+    return if (typed is TypedMst.Constant) object : IntExpression {
+        override val indexer = SimpleSymbolIndexer(emptyList())
+
+        override fun invoke(arguments: IntArray): Int = typed.value
+    } else
+        IntAsmBuilder(typed).instance
+}
 
 /**
  * Compile given MST to expression and evaluate it against [arguments].
@@ -134,7 +109,7 @@ public fun MST.compileToExpression(algebra: IntRing): IntExpression = IntAsmBuil
  */
 @UnstableKMathAPI
 public fun MST.compile(algebra: IntRing, arguments: Map<Symbol, Int>): Int =
-    compileToExpression(algebra).invoke(arguments)
+    compileToExpression(algebra)(arguments)
 
 /**
  * Compile given MST to expression and evaluate it against [arguments].
@@ -152,8 +127,16 @@ public fun MST.compile(algebra: IntRing, vararg arguments: Pair<Symbol, Int>): I
  * @author Iaroslav Postovalov
  */
 @UnstableKMathAPI
-public fun MST.compileToExpression(algebra: LongRing): LongExpression = LongAsmBuilder(this).instance
+public fun MST.compileToExpression(algebra: LongRing): LongExpression {
+    val typed = evaluateConstants(algebra)
 
+    return if (typed is TypedMst.Constant<Long>) object : LongExpression {
+        override val indexer = SimpleSymbolIndexer(emptyList())
+
+        override fun invoke(arguments: LongArray): Long = typed.value
+    } else
+        LongAsmBuilder(typed).instance
+}
 
 /**
  * Compile given MST to expression and evaluate it against [arguments].
@@ -162,7 +145,7 @@ public fun MST.compileToExpression(algebra: LongRing): LongExpression = LongAsmB
  */
 @UnstableKMathAPI
 public fun MST.compile(algebra: LongRing, arguments: Map<Symbol, Long>): Long =
-    compileToExpression(algebra).invoke(arguments)
+    compileToExpression(algebra)(arguments)
 
 
 /**
@@ -181,7 +164,17 @@ public fun MST.compile(algebra: LongRing, vararg arguments: Pair<Symbol, Long>):
  * @author Iaroslav Postovalov
  */
 @UnstableKMathAPI
-public fun MST.compileToExpression(algebra: DoubleField): DoubleExpression = DoubleAsmBuilder(this).instance
+public fun MST.compileToExpression(algebra: DoubleField): DoubleExpression {
+    val typed = evaluateConstants(algebra)
+
+    return if (typed is TypedMst.Constant) object : DoubleExpression {
+        override val indexer = SimpleSymbolIndexer(emptyList())
+
+        override fun invoke(arguments: DoubleArray): Double = typed.value
+    } else
+        DoubleAsmBuilder(typed).instance
+}
+
 
 /**
  * Compile given MST to expression and evaluate it against [arguments].
@@ -190,7 +183,7 @@ public fun MST.compileToExpression(algebra: DoubleField): DoubleExpression = Dou
  */
 @UnstableKMathAPI
 public fun MST.compile(algebra: DoubleField, arguments: Map<Symbol, Double>): Double =
-    compileToExpression(algebra).invoke(arguments)
+    compileToExpression(algebra)(arguments)
 
 /**
  * Compile given MST to expression and evaluate it against [arguments].
@@ -199,4 +192,4 @@ public fun MST.compile(algebra: DoubleField, arguments: Map<Symbol, Double>): Do
  */
 @UnstableKMathAPI
 public fun MST.compile(algebra: DoubleField, vararg arguments: Pair<Symbol, Double>): Double =
-    compileToExpression(algebra).invoke(*arguments)
+    compileToExpression(algebra)(*arguments)
diff --git a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/GenericAsmBuilder.kt b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/GenericAsmBuilder.kt
index 5eb739956..6cf3d8721 100644
--- a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/GenericAsmBuilder.kt
+++ b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/GenericAsmBuilder.kt
@@ -56,7 +56,7 @@ internal class GenericAsmBuilder<T>(
     /**
      * Local variables indices are indices of symbols in this list.
      */
-    private val argumentsLocals = mutableListOf<String>()
+    private val argumentsLocals = mutableListOf<Symbol>()
 
     /**
      * Subclasses, loads and instantiates [Expression] for given parameters.
@@ -253,10 +253,10 @@ internal class GenericAsmBuilder<T>(
      * Stores value variable [name] into a local. Should be called within [variablesPrepareCallback] before using
      * [loadVariable].
      */
-    fun prepareVariable(name: String): Unit = invokeMethodVisitor.run {
+    fun prepareVariable(name: Symbol): Unit = invokeMethodVisitor.run {
         if (name in argumentsLocals) return@run
         load(1, MAP_TYPE)
-        aconst(name)
+        aconst(name.identity)
 
         invokestatic(
             MAP_INTRINSICS_TYPE.internalName,
@@ -280,7 +280,7 @@ internal class GenericAsmBuilder<T>(
      * Loads a variable [name] from arguments [Map] parameter of [Expression.invoke]. The variable should be stored
      * with [prepareVariable] first.
      */
-    fun loadVariable(name: String): Unit = invokeMethodVisitor.load(2 + argumentsLocals.indexOf(name), tType)
+    fun loadVariable(name: Symbol): Unit = invokeMethodVisitor.load(2 + argumentsLocals.indexOf(name), tType)
 
     inline fun buildCall(function: Function<T>, parameters: GenericAsmBuilder<T>.() -> Unit) {
         contract { callsInPlace(parameters, InvocationKind.EXACTLY_ONCE) }
diff --git a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/PrimitiveAsmBuilder.kt b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/PrimitiveAsmBuilder.kt
index bf1f42395..01bad83e5 100644
--- a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/PrimitiveAsmBuilder.kt
+++ b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/PrimitiveAsmBuilder.kt
@@ -11,6 +11,7 @@ import org.objectweb.asm.Opcodes.*
 import org.objectweb.asm.Type
 import org.objectweb.asm.Type.*
 import org.objectweb.asm.commons.InstructionAdapter
+import space.kscience.kmath.ast.TypedMst
 import space.kscience.kmath.expressions.*
 import space.kscience.kmath.misc.UnstableKMathAPI
 import space.kscience.kmath.operations.*
@@ -25,9 +26,9 @@ internal sealed class PrimitiveAsmBuilder<T : Number, out E : Expression<T>>(
     classOfT: Class<*>,
     protected val classOfTPrimitive: Class<*>,
     expressionParent: Class<E>,
-    protected val target: MST,
+    protected val target: TypedMst<T>,
 ) : AsmBuilder() {
-    private val className: String = buildName(target)
+    private val className: String = buildName("${target.hashCode()}_${classOfT.simpleName}")
 
     /**
      * ASM type for [tType].
@@ -329,63 +330,39 @@ internal sealed class PrimitiveAsmBuilder<T : Number, out E : Expression<T>>(
     }
 
     private fun visitVariables(
-        node: MST,
+        node: TypedMst<T>,
         arrayMode: Boolean,
         alreadyLoaded: MutableList<Symbol> = mutableListOf()
     ): Unit = when (node) {
-        is Symbol -> when (node) {
-            !in alreadyLoaded -> {
-                alreadyLoaded += node
-                prepareVariable(node, arrayMode)
-            }
-            else -> {
-            }
-        }
+        is TypedMst.Variable -> if (node.symbol !in alreadyLoaded) {
+            alreadyLoaded += node.symbol
+            prepareVariable(node.symbol, arrayMode)
+        } else Unit
 
-        is MST.Unary -> visitVariables(node.value, arrayMode, alreadyLoaded)
+        is TypedMst.Unary -> visitVariables(node.value, arrayMode, alreadyLoaded)
 
-        is MST.Binary -> {
+        is TypedMst.Binary -> {
             visitVariables(node.left, arrayMode, alreadyLoaded)
             visitVariables(node.right, arrayMode, alreadyLoaded)
         }
 
-        else -> Unit
+        is TypedMst.Constant -> Unit
     }
 
-    private fun visitExpression(node: MST): Unit = when (node) {
-        is Symbol -> {
-            val symbol = algebra.bindSymbolOrNull(node)
+    private fun visitExpression(node: TypedMst<T>): Unit = when (node) {
+        is TypedMst.Variable -> loadVariable(node.symbol)
 
-            if (symbol != null)
-                loadNumberConstant(symbol)
-            else
-                loadVariable(node)
-        }
+        is TypedMst.Constant -> loadNumberConstant(
+            node.number ?: error("Object constants are not supported by pritimive ASM builder"),
+        )
 
-        is MST.Numeric -> loadNumberConstant(algebra.number(node.value))
-
-        is MST.Unary -> if (node.value is MST.Numeric)
-            loadNumberConstant(
-                algebra.unaryOperationFunction(node.operation)(algebra.number((node.value as MST.Numeric).value)),
-            )
-        else
-            visitUnary(node)
-
-        is MST.Binary -> when {
-            node.left is MST.Numeric && node.right is MST.Numeric -> loadNumberConstant(
-                algebra.binaryOperationFunction(node.operation)(
-                    algebra.number((node.left as MST.Numeric).value),
-                    algebra.number((node.right as MST.Numeric).value),
-                ),
-            )
-
-            else -> visitBinary(node)
-        }
+        is TypedMst.Unary -> visitUnary(node)
+        is TypedMst.Binary -> visitBinary(node)
     }
 
-    protected open fun visitUnary(node: MST.Unary) = visitExpression(node.value)
+    protected open fun visitUnary(node: TypedMst.Unary<T>) = visitExpression(node.value)
 
-    protected open fun visitBinary(node: MST.Binary) {
+    protected open fun visitBinary(node: TypedMst.Binary<T>) {
         visitExpression(node.left)
         visitExpression(node.right)
     }
@@ -404,14 +381,13 @@ internal sealed class PrimitiveAsmBuilder<T : Number, out E : Expression<T>>(
 }
 
 @UnstableKMathAPI
-internal class DoubleAsmBuilder(target: MST) : PrimitiveAsmBuilder<Double, DoubleExpression>(
+internal class DoubleAsmBuilder(target: TypedMst<Double>) : PrimitiveAsmBuilder<Double, DoubleExpression>(
     DoubleField,
     java.lang.Double::class.java,
     java.lang.Double.TYPE,
     DoubleExpression::class.java,
     target,
 ) {
-
     private fun buildUnaryJavaMathCall(name: String) = invokeMethodVisitor.invokestatic(
         MATH_TYPE.internalName,
         name,
@@ -434,7 +410,7 @@ internal class DoubleAsmBuilder(target: MST) : PrimitiveAsmBuilder<Double, Doubl
         false,
     )
 
-    override fun visitUnary(node: MST.Unary) {
+    override fun visitUnary(node: TypedMst.Unary<Double>) {
         super.visitUnary(node)
 
         when (node.operation) {
@@ -459,7 +435,7 @@ internal class DoubleAsmBuilder(target: MST) : PrimitiveAsmBuilder<Double, Doubl
         }
     }
 
-    override fun visitBinary(node: MST.Binary) {
+    override fun visitBinary(node: TypedMst.Binary<Double>) {
         super.visitBinary(node)
 
         when (node.operation) {
@@ -479,7 +455,7 @@ internal class DoubleAsmBuilder(target: MST) : PrimitiveAsmBuilder<Double, Doubl
 }
 
 @UnstableKMathAPI
-internal class IntAsmBuilder(target: MST) :
+internal class IntAsmBuilder(target: TypedMst<Int>) :
     PrimitiveAsmBuilder<Int, IntExpression>(
         IntRing,
         Integer::class.java,
@@ -487,7 +463,7 @@ internal class IntAsmBuilder(target: MST) :
         IntExpression::class.java,
         target
     ) {
-    override fun visitUnary(node: MST.Unary) {
+    override fun visitUnary(node: TypedMst.Unary<Int>) {
         super.visitUnary(node)
 
         when (node.operation) {
@@ -497,7 +473,7 @@ internal class IntAsmBuilder(target: MST) :
         }
     }
 
-    override fun visitBinary(node: MST.Binary) {
+    override fun visitBinary(node: TypedMst.Binary<Int>) {
         super.visitBinary(node)
 
         when (node.operation) {
@@ -510,14 +486,14 @@ internal class IntAsmBuilder(target: MST) :
 }
 
 @UnstableKMathAPI
-internal class LongAsmBuilder(target: MST) : PrimitiveAsmBuilder<Long, LongExpression>(
+internal class LongAsmBuilder(target: TypedMst<Long>) : PrimitiveAsmBuilder<Long, LongExpression>(
     LongRing,
     java.lang.Long::class.java,
     java.lang.Long.TYPE,
     LongExpression::class.java,
     target,
 ) {
-    override fun visitUnary(node: MST.Unary) {
+    override fun visitUnary(node: TypedMst.Unary<Long>) {
         super.visitUnary(node)
 
         when (node.operation) {
@@ -527,7 +503,7 @@ internal class LongAsmBuilder(target: MST) : PrimitiveAsmBuilder<Long, LongExpre
         }
     }
 
-    override fun visitBinary(node: MST.Binary) {
+    override fun visitBinary(node: TypedMst.Binary<Long>) {
         super.visitBinary(node)
 
         when (node.operation) {
diff --git a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/codegenUtils.kt b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/codegenUtils.kt
index 06e040e93..9e880f4fc 100644
--- a/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/codegenUtils.kt
+++ b/kmath-ast/src/jvmMain/kotlin/space/kscience/kmath/asm/internal/codegenUtils.kt
@@ -55,15 +55,15 @@ internal inline fun MethodVisitor.instructionAdapter(block: InstructionAdapter.(
 internal fun MethodVisitor.label(): Label = Label().also(::visitLabel)
 
 /**
- * Creates a class name for [Expression] subclassed to implement [mst] provided.
+ * Creates a class name for [Expression] based with appending [marker] to reduce collisions.
  *
  * These methods help to avoid collisions of class name to prevent loading several classes with the same name. If there
  * is a colliding class, change [collision] parameter or leave it `0` to check existing classes recursively.
  *
  * @author Iaroslav Postovalov
  */
-internal tailrec fun buildName(mst: MST, collision: Int = 0): String {
-    val name = "space.kscience.kmath.asm.generated.CompiledExpression_${mst.hashCode()}_$collision"
+internal tailrec fun buildName(marker: String, collision: Int = 0): String {
+    val name = "space.kscience.kmath.asm.generated.CompiledExpression_${marker}_$collision"
 
     try {
         Class.forName(name)
@@ -71,7 +71,7 @@ internal tailrec fun buildName(mst: MST, collision: Int = 0): String {
         return name
     }
 
-    return buildName(mst, collision + 1)
+    return buildName(marker, collision + 1)
 }
 
 @Suppress("FunctionName")
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/FunctionalExpressionAlgebra.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/FunctionalExpressionAlgebra.kt
index 5f194f2ea..880cf8421 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/FunctionalExpressionAlgebra.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/FunctionalExpressionAlgebra.kt
@@ -34,12 +34,12 @@ public abstract class FunctionalExpressionAlgebra<T, out A : Algebra<T>>(
     override fun binaryOperationFunction(operation: String): (left: Expression<T>, right: Expression<T>) -> Expression<T> =
         { left, right ->
             Expression { arguments ->
-                algebra.binaryOperationFunction(operation)(left.invoke(arguments), right.invoke(arguments))
+                algebra.binaryOperationFunction(operation)(left(arguments), right(arguments))
             }
         }
 
     override fun unaryOperationFunction(operation: String): (arg: Expression<T>) -> Expression<T> = { arg ->
-        Expression { arguments -> algebra.unaryOperationFunction(operation)(arg.invoke(arguments)) }
+        Expression { arguments -> algebra.unaryOperation(operation, arg(arguments)) }
     }
 }
 
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/MST.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/MST.kt
index 24e96e845..18226119b 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/MST.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/MST.kt
@@ -24,7 +24,7 @@ public sealed interface MST {
     public data class Numeric(val value: Number) : MST
 
     /**
-     * A node containing an unary operation.
+     * A node containing a unary operation.
      *
      * @property operation the identifier of operation.
      * @property value the argument of this operation.
@@ -34,7 +34,7 @@ public sealed interface MST {
     /**
      * A node containing binary operation.
      *
-     * @property operation the identifier operation.
+     * @property operation the identifier of operation.
      * @property left the left operand.
      * @property right the right operand.
      */

From 408443989c5858d555926b2cd6ab3e9edbb057ff Mon Sep 17 00:00:00 2001
From: Alexander Nozik <altavir@gmail.com>
Date: Sun, 13 Feb 2022 17:48:04 +0300
Subject: [PATCH 44/44] Up version

---
 build.gradle.kts                                       |  2 +-
 .../kmath/expressions/FunctionalExpressionAlgebra.kt   |  2 --
 .../space/kscience/kmath/expressions/SimpleAutoDiff.kt |  7 ++-----
 .../kscience/kmath/tensorflow/TensorFlowAlgebra.kt     | 10 ++++++++++
 .../space/kscience/kmath/tensorflow/tfOperations.kt    |  2 +-
 5 files changed, 14 insertions(+), 9 deletions(-)

diff --git a/build.gradle.kts b/build.gradle.kts
index 1b2d9d7c0..a07bcd2c5 100644
--- a/build.gradle.kts
+++ b/build.gradle.kts
@@ -10,7 +10,7 @@ allprojects {
     }
 
     group = "space.kscience"
-    version = "0.3.0-dev-17"
+    version = "0.3.0-dev-18"
 }
 
 subprojects {
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/FunctionalExpressionAlgebra.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/FunctionalExpressionAlgebra.kt
index 880cf8421..68cc8e791 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/FunctionalExpressionAlgebra.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/FunctionalExpressionAlgebra.kt
@@ -164,8 +164,6 @@ public open class FunctionalExpressionExtendedField<T, out A : ExtendedField<T>>
 
     override fun binaryOperationFunction(operation: String): (left: Expression<T>, right: Expression<T>) -> Expression<T> =
         super<FunctionalExpressionField>.binaryOperationFunction(operation)
-
-    override fun bindSymbol(value: String): Expression<T> = super<FunctionalExpressionField>.bindSymbol(value)
 }
 
 public inline fun <T, A : Group<T>> A.expressionInGroup(
diff --git a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/SimpleAutoDiff.kt b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/SimpleAutoDiff.kt
index 96fc73249..ac8c44446 100644
--- a/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/SimpleAutoDiff.kt
+++ b/kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/SimpleAutoDiff.kt
@@ -272,7 +272,7 @@ public fun <T : Any, F : ExtendedField<T>> SimpleAutoDiffField<T, F>.sqrt(x: Aut
 public fun <T : Any, F : ExtendedField<T>> SimpleAutoDiffField<T, F>.pow(
     x: AutoDiffValue<T>,
     y: Double,
-): AutoDiffValue<T> = derive(const { x.value.pow(y)}) { z ->
+): AutoDiffValue<T> = derive(const { x.value.pow(y) }) { z ->
     x.d += z.d * y * x.value.pow(y - 1)
 }
 
@@ -343,10 +343,7 @@ public fun <T : Any, F : ExtendedField<T>> SimpleAutoDiffField<T, F>.atanh(x: Au
 public class SimpleAutoDiffExtendedField<T : Any, F : ExtendedField<T>>(
     context: F,
     bindings: Map<Symbol, T>,
-) : ExtendedField<AutoDiffValue<T>>, ScaleOperations<AutoDiffValue<T>>,
-    SimpleAutoDiffField<T, F>(context, bindings) {
-
-    override fun bindSymbol(value: String): AutoDiffValue<T> = super<SimpleAutoDiffField>.bindSymbol(value)
+) : ExtendedField<AutoDiffValue<T>>, ScaleOperations<AutoDiffValue<T>>, SimpleAutoDiffField<T, F>(context, bindings) {
 
     override fun number(value: Number): AutoDiffValue<T> = const { number(value) }
 
diff --git a/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/TensorFlowAlgebra.kt b/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/TensorFlowAlgebra.kt
index e2541a73e..e9e75543d 100644
--- a/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/TensorFlowAlgebra.kt
+++ b/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/TensorFlowAlgebra.kt
@@ -241,6 +241,16 @@ public abstract class TensorFlowAlgebra<T, TT : TNumber, A : Ring<T>> internal c
         ops.math.argMax(asTensorFlow().output, ops.constant(dim), TInt32::class.java).output()
     ).actualTensor
 
+//    private val symbolCache = HashMap<String, TensorFlowOutput<T, TT>>()
+//
+//    override fun bindSymbolOrNull(value: String): TensorFlowOutput<T, TT>? {
+//        return symbolCache.getOrPut(value){ops.var}
+//    }
+//
+//    public fun StructureND<T>.grad(
+//
+//    )= operate { ops.gradients() }
+
     @OptIn(UnstableKMathAPI::class)
     override fun export(arg: StructureND<T>): StructureND<T> =
         if (arg is TensorFlowOutput<T, *>) arg.actualTensor else arg
diff --git a/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/tfOperations.kt b/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/tfOperations.kt
index 257d4d6ea..f67c333ce 100644
--- a/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/tfOperations.kt
+++ b/kmath-tensorflow/src/main/kotlin/space/kscience/kmath/tensorflow/tfOperations.kt
@@ -20,4 +20,4 @@ public fun <T, TT : TNumber, A> TensorFlowAlgebra<T, TT, A>.sin(
 
 public fun <T, TT : TNumber, A> TensorFlowAlgebra<T, TT, A>.cos(
     arg: StructureND<T>,
-): TensorFlowOutput<T, TT> where A : TrigonometricOperations<T>, A : Ring<T> = arg.operate { ops.math.cos(it) }
+): TensorFlowOutput<T, TT> where A : TrigonometricOperations<T>, A : Ring<T> = arg.operate { ops.math.cos(it) }
\ No newline at end of file