examples/src/main/kotlin/space/kscience/kmath/fit/chiSquared.kt

@@ -12,6 +12,8 @@ import space.kscience.kmath.commons.optimization.CMOptimizer
 import space.kscience.kmath.distributions.NormalDistribution
 import space.kscience.kmath.expressions.chiSquaredExpression
 import space.kscience.kmath.expressions.symbol
+import space.kscience.kmath.operations.asIterable
+import space.kscience.kmath.operations.toList
 import space.kscience.kmath.optimization.FunctionOptimizationTarget
 import space.kscience.kmath.optimization.optimizeWith
 import space.kscience.kmath.optimization.resultPoint
@@ -20,8 +22,6 @@ import space.kscience.kmath.random.RandomGenerator
 import space.kscience.kmath.real.DoubleVector
 import space.kscience.kmath.real.map
 import space.kscience.kmath.real.step
-import space.kscience.kmath.structures.asIterable
-import space.kscience.kmath.structures.toList
 import space.kscience.plotly.*
 import space.kscience.plotly.models.ScatterMode
 import space.kscience.plotly.models.TraceValues

examples/src/main/kotlin/space/kscience/kmath/fit/qowFit.kt

@@ -13,6 +13,8 @@ import space.kscience.kmath.distributions.NormalDistribution
 import space.kscience.kmath.expressions.Symbol
 import space.kscience.kmath.expressions.binding
 import space.kscience.kmath.expressions.symbol
+import space.kscience.kmath.operations.asIterable
+import space.kscience.kmath.operations.toList
 import space.kscience.kmath.optimization.QowOptimizer
 import space.kscience.kmath.optimization.chiSquaredOrNull
 import space.kscience.kmath.optimization.fitWith
@@ -20,8 +22,6 @@ import space.kscience.kmath.optimization.resultPoint
 import space.kscience.kmath.random.RandomGenerator
 import space.kscience.kmath.real.map
 import space.kscience.kmath.real.step
-import space.kscience.kmath.structures.asIterable
-import space.kscience.kmath.structures.toList
 import space.kscience.plotly.*
 import space.kscience.plotly.models.ScatterMode
 import kotlin.math.abs

examples/src/main/kotlin/space/kscience/kmath/series/analyzeDif.kt

@@ -3,12 +3,13 @@ package space.kscience.kmath.series
 
 import kotlinx.html.FlowContent
 import kotlinx.html.h1
+import space.kscience.kmath.operations.DoubleBufferOps
 import space.kscience.kmath.operations.algebra
 import space.kscience.kmath.operations.bufferAlgebra
+import space.kscience.kmath.operations.toList
 import space.kscience.kmath.stat.ksComparisonStatistic
 import space.kscience.kmath.structures.Buffer
 import space.kscience.kmath.structures.slice
-import space.kscience.kmath.structures.toList
 import space.kscience.plotly.*
 import kotlin.math.PI
 
@@ -33,7 +34,7 @@ fun main() = with(Double.algebra.bufferAlgebra.seriesAlgebra()) {
     val s2 = s1.slice(20U..50U).moveTo(40)
 
     val s3: Buffer<Double> = s1.zip(s2) { l, r -> l + r } //s1 + s2
-    val s4 = ln(s3)
+    val s4 = DoubleBufferOps.ln(s3)
 
     val kmTest = ksComparisonStatistic(s1, s2)
 

examples/src/main/kotlin/space/kscience/kmath/structures/StreamDoubleFieldND.kt

@@ -37,7 +37,8 @@ class StreamDoubleFieldND(override val shape: IntArray) : FieldND<Double, Double
                 this@StreamDoubleFieldND.shape,
                 shape
             )
-            this is BufferND && this.shapeIndices == this@StreamDoubleFieldND.strides -> this.buffer as DoubleBuffer
+
+            this is BufferND && indices == this@StreamDoubleFieldND.strides -> this.buffer as DoubleBuffer
             else -> DoubleBuffer(strides.linearSize) { offset -> get(strides.index(offset)) }
         }
 

kmath-commons/src/main/kotlin/space/kscience/kmath/commons/random/CMRandomGeneratorWrapper.kt

@@ -6,11 +6,10 @@
 package space.kscience.kmath.commons.random
 
 import kotlinx.coroutines.runBlocking
-import space.kscience.kmath.misc.PerformancePitfall
 import space.kscience.kmath.misc.toIntExact
 import space.kscience.kmath.random.RandomGenerator
 import space.kscience.kmath.samplers.GaussianSampler
-import space.kscience.kmath.samplers.next
+import space.kscience.kmath.stat.next
 
 
 public class CMRandomGeneratorWrapper(

kmath-commons/src/test/kotlin/space/kscience/kmath/commons/optimization/OptimizeTest.kt

@@ -13,11 +13,11 @@ import space.kscience.kmath.expressions.Symbol.Companion.x
 import space.kscience.kmath.expressions.Symbol.Companion.y
 import space.kscience.kmath.expressions.chiSquaredExpression
 import space.kscience.kmath.expressions.symbol
+import space.kscience.kmath.operations.map
 import space.kscience.kmath.optimization.*
 import space.kscience.kmath.random.RandomGenerator
 import space.kscience.kmath.structures.DoubleBuffer
 import space.kscience.kmath.structures.asBuffer
-import space.kscience.kmath.structures.map
 import kotlin.math.pow
 import kotlin.test.Test
 

kmath-core/src/commonMain/kotlin/space/kscience/kmath/expressions/specialExpressions.kt

@@ -6,8 +6,8 @@
 package space.kscience.kmath.expressions
 
 import space.kscience.kmath.operations.ExtendedField
+import space.kscience.kmath.operations.asIterable
 import space.kscience.kmath.structures.Buffer
-import space.kscience.kmath.structures.asIterable
 import space.kscience.kmath.structures.indices
 import kotlin.jvm.JvmName
 

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

@@ -15,7 +15,7 @@ import kotlin.math.pow
 import kotlin.math.pow as kpow
 
 public class DoubleBufferND(
-    indexes: ShapeIndices,
+    indexes: ShapeIndexer,
     override val buffer: DoubleBuffer,
 ) : MutableBufferND<Double>(indexes, buffer)
 
@@ -35,7 +35,7 @@ public sealed class DoubleFieldOpsND : BufferedFieldOpsND<Double, DoubleField>(D
         arg: DoubleBufferND,
         transform: (Double) -> Double,
     ): DoubleBufferND {
-        val indexes = arg.shapeIndices
+        val indexes = arg.indices
         val array = arg.buffer.array
         return DoubleBufferND(indexes, DoubleBuffer(indexes.linearSize) { transform(array[it]) })
     }
@@ -45,8 +45,8 @@ public sealed class DoubleFieldOpsND : BufferedFieldOpsND<Double, DoubleField>(D
         r: DoubleBufferND,
         block: (l: Double, r: Double) -> Double,
     ): DoubleBufferND {
-        require(l.shapeIndices == r.shapeIndices) { "Zip requires the same shapes, but found ${l.shape} on the left and ${r.shape} on the right" }
+        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.shapeIndices
+        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]) })

kmath-core/src/commonMain/kotlin/space/kscience/kmath/nd/Structure1D.kt

@@ -6,10 +6,10 @@
 package space.kscience.kmath.nd
 
 import space.kscience.kmath.misc.PerformancePitfall
+import space.kscience.kmath.operations.asSequence
 import space.kscience.kmath.structures.Buffer
 import space.kscience.kmath.structures.MutableBuffer
 import space.kscience.kmath.structures.asMutableBuffer
-import space.kscience.kmath.structures.asSequence
 import kotlin.jvm.JvmInline
 
 /**

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

@@ -54,7 +54,7 @@ public interface StructureND<out T> : Featured<StructureFeature>, WithShape {
      * @return the lazy sequence of pairs of indices to values.
      */
     @PerformancePitfall
-    public fun elements(): Sequence<Pair<IntArray, T>> = shapeIndices.asSequence().map { it to get(it) }
+    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.
@@ -71,7 +71,7 @@ public interface StructureND<out T> : Featured<StructureFeature>, WithShape {
             if (st1 === st2) return true
 
             // fast comparison of buffers if possible
-            if (st1 is BufferND && st2 is BufferND && st1.shapeIndices == st2.shapeIndices)
+            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>, WithShape {
             if (st1 === st2) return true
 
             // fast comparison of buffers if possible
-            if (st1 is BufferND && st2 is BufferND && st1.shapeIndices == st2.shapeIndices)
+            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

kmath-core/src/commonMain/kotlin/space/kscience/kmath/structures/Buffer.kt

@@ -6,6 +6,7 @@
 package space.kscience.kmath.structures
 
 import space.kscience.kmath.operations.WithSize
+import space.kscience.kmath.operations.asSequence
 import kotlin.jvm.JvmInline
 import kotlin.reflect.KClass
 

kmath-coroutines/src/jvmTest/kotlin/space/kscience/kmath/streaming/RingBufferTest.kt

@@ -7,7 +7,7 @@ package space.kscience.kmath.streaming
 
 import kotlinx.coroutines.flow.*
 import kotlinx.coroutines.runBlocking
-import space.kscience.kmath.structures.asSequence
+import space.kscience.kmath.operations.asSequence
 import kotlin.test.Test
 import kotlin.test.assertEquals
 

kmath-for-real/src/commonMain/kotlin/space/kscience/kmath/real/RealMatrix.kt

@@ -13,9 +13,9 @@ import space.kscience.kmath.misc.PerformancePitfall
 import space.kscience.kmath.misc.UnstableKMathAPI
 import space.kscience.kmath.operations.DoubleField
 import space.kscience.kmath.operations.algebra
+import space.kscience.kmath.operations.asIterable
 import space.kscience.kmath.structures.Buffer
 import space.kscience.kmath.structures.DoubleBuffer
-import space.kscience.kmath.structures.asIterable
 import kotlin.math.pow
 
 /*
@@ -131,7 +131,7 @@ public fun RealMatrix.extractColumn(columnIndex: Int): RealMatrix =
     extractColumns(columnIndex..columnIndex)
 
 public fun RealMatrix.sumByColumn(): DoubleBuffer = DoubleBuffer(colNum) { j ->
-    columns[j].asIterable().sum()
+    columns[j].sum()
 }
 
 public fun RealMatrix.minByColumn(): DoubleBuffer = DoubleBuffer(colNum) { j ->

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(shapeIndices.linearSize) { offset -> DoubleField.transform(buffer[offset]) }
+    val array = DoubleArray(indices.linearSize) { offset -> DoubleField.transform(buffer[offset]) }
-    return BufferND(shapeIndices, DoubleBuffer(array))
+    return BufferND(indices, DoubleBuffer(array))
 }
 
 /**

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

@@ -5,10 +5,10 @@
 
 package space.kscience.kmath.integration
 
+import space.kscience.kmath.operations.map
 import space.kscience.kmath.structures.Buffer
 import space.kscience.kmath.structures.DoubleBuffer
 import space.kscience.kmath.structures.asBuffer
-import space.kscience.kmath.structures.map
 import kotlin.jvm.Synchronized
 import kotlin.math.ulp
 import kotlin.native.concurrent.ThreadLocal
@@ -30,7 +30,7 @@ public fun GaussIntegratorRuleFactory.build(
     numPoints: Int,
     range: ClosedRange<Double>,
 ): Pair<Buffer<Double>, Buffer<Double>> {
-    val normalized = build(numPoints)
+    val normalized: Pair<Buffer<Double>, Buffer<Double>> = build(numPoints)
     val length = range.endInclusive - range.start
 
     val points = normalized.first.map(::DoubleBuffer) {

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

@@ -12,14 +12,10 @@ import space.kscience.kmath.interpolation.SplineInterpolator
 import space.kscience.kmath.interpolation.interpolatePolynomials
 import space.kscience.kmath.misc.PerformancePitfall
 import space.kscience.kmath.misc.UnstableKMathAPI
-import space.kscience.kmath.operations.DoubleField
+import space.kscience.kmath.operations.*
-import space.kscience.kmath.operations.Field
-import space.kscience.kmath.operations.invoke
-import space.kscience.kmath.operations.sum
 import space.kscience.kmath.structures.Buffer
 import space.kscience.kmath.structures.DoubleBuffer
 import space.kscience.kmath.structures.MutableBufferFactory
-import space.kscience.kmath.structures.map
 
 /**
  * Compute analytical indefinite integral of this [PiecewisePolynomial], keeping all intervals intact

kmath-geometry/src/commonTest/kotlin/space/kscience/kmath/geometry/Vector2DTest.kt

@@ -6,7 +6,7 @@
 package space.kscience.kmath.geometry
 
 
-import space.kscience.kmath.structures.toList
+import space.kscience.kmath.operations.toList
 import kotlin.test.Test
 import kotlin.test.assertEquals
 

kmath-geometry/src/commonTest/kotlin/space/kscience/kmath/geometry/Vector3DTest.kt

@@ -5,7 +5,7 @@
 
 package space.kscience.kmath.geometry
 
-import space.kscience.kmath.structures.toList
+import space.kscience.kmath.operations.toList
 import kotlin.test.Test
 import kotlin.test.assertEquals
 

kmath-histograms/src/commonTest/kotlin/space/kscience/kmath/histogram/UniformHistogram1DTest.kt

@@ -10,7 +10,7 @@ import kotlinx.coroutines.test.runTest
 import space.kscience.kmath.distributions.NormalDistribution
 import space.kscience.kmath.misc.UnstableKMathAPI
 import space.kscience.kmath.operations.DoubleField
-import space.kscience.kmath.stat.RandomGenerator
+import space.kscience.kmath.random.RandomGenerator
 import space.kscience.kmath.stat.nextBuffer
 import kotlin.native.concurrent.ThreadLocal
 import kotlin.test.Test
@@ -36,7 +36,7 @@ internal class UniformHistogram1DTest {
     @Test
     fun rebinDown() = runTest {
         val h1 = Histogram.uniform1D(DoubleField, 0.01).produce(generator.nextDoubleBuffer(10000))
-        val h2 = Histogram.uniform1D(DoubleField,0.03).produceFrom(h1)
+        val h2 = Histogram.uniform1D(DoubleField, 0.03).produceFrom(h1)
 
         assertEquals(10000, h2.bins.sumOf { it.binValue }.toInt())
     }
@@ -44,13 +44,13 @@ internal class UniformHistogram1DTest {
     @Test
     fun rebinUp() = runTest {
         val h1 = Histogram.uniform1D(DoubleField, 0.03).produce(generator.nextDoubleBuffer(10000))
-        val h2 = Histogram.uniform1D(DoubleField,0.01).produceFrom(h1)
+        val h2 = Histogram.uniform1D(DoubleField, 0.01).produceFrom(h1)
 
         assertEquals(10000, h2.bins.sumOf { it.binValue }.toInt())
     }
 
     @ThreadLocal
-    companion object{
+    companion object {
         private val generator = RandomGenerator.default(123)
     }
 }

kmath-jupyter/src/main/kotlin/space/kscience/kmath/jupyter/KMathJupyter.kt

@@ -21,9 +21,9 @@ import space.kscience.kmath.expressions.MST
 import space.kscience.kmath.expressions.MstRing
 import space.kscience.kmath.misc.PerformancePitfall
 import space.kscience.kmath.nd.Structure2D
+import space.kscience.kmath.operations.asSequence
 import space.kscience.kmath.operations.invoke
 import space.kscience.kmath.structures.Buffer
-import space.kscience.kmath.structures.asSequence
 
 /**
  * A function for conversion of number to MST for pretty print
@@ -47,11 +47,13 @@ internal class KMathJupyter : JupyterIntegration() {
                 syntaxRender.renderPart(mathRender.render(MST.Numeric(it)), s)
                 +s.toString()
             }
+
             is MST -> {
                 val s = StringBuilder()
                 syntaxRender.renderPart(mathRender.render(it), s)
                 +s.toString()
             }
+
             else -> {
                 +"<ms>"
                 +it.toString()

kmath-stat/src/commonMain/kotlin/space/kscience/kmath/distributions/Distribution.kt

@@ -7,7 +7,7 @@ package space.kscience.kmath.distributions
 
 import space.kscience.kmath.chains.Chain
 import space.kscience.kmath.random.RandomGenerator
-import space.kscience.kmath.samplers.Sampler
+import space.kscience.kmath.stat.Sampler
 
 /**
  * A distribution of typed objects.

kmath-stat/src/commonMain/kotlin/space/kscience/kmath/distributions/UniformDistribution.kt

@@ -3,12 +3,11 @@
  * Use of this 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
+package space.kscience.kmath.distributions
 
 import space.kscience.kmath.chains.Chain
 import space.kscience.kmath.chains.SimpleChain
-import space.kscience.kmath.distributions.Distribution
+import space.kscience.kmath.random.RandomGenerator
-import space.kscience.kmath.distributions.Distribution1D
 
 public class UniformDistribution(public val range: ClosedFloatingPointRange<Double>) : Distribution1D<Double> {
     private val length: Double = range.endInclusive - range.start

kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/AhrensDieterExponentialSampler.kt

@@ -7,6 +7,7 @@ package space.kscience.kmath.samplers
 
 import space.kscience.kmath.chains.BlockingDoubleChain
 import space.kscience.kmath.random.RandomGenerator
+import space.kscience.kmath.stat.Sampler
 import space.kscience.kmath.structures.DoubleBuffer
 import kotlin.math.ln
 import kotlin.math.pow

kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/AhrensDieterMarsagliaTsangGammaSampler.kt

@@ -8,6 +8,8 @@ package space.kscience.kmath.samplers
 import space.kscience.kmath.chains.Chain
 import space.kscience.kmath.random.RandomGenerator
 import space.kscience.kmath.random.chain
+import space.kscience.kmath.stat.Sampler
+import space.kscience.kmath.stat.next
 import kotlin.math.*
 
 /**

kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/AliasMethodDiscreteSampler.kt

@@ -8,6 +8,7 @@ package space.kscience.kmath.samplers
 import space.kscience.kmath.chains.Chain
 import space.kscience.kmath.random.RandomGenerator
 import space.kscience.kmath.random.chain
+import space.kscience.kmath.stat.Sampler
 import kotlin.math.ceil
 import kotlin.math.max
 import kotlin.math.min

kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/KempSmallMeanPoissonSampler.kt

@@ -7,6 +7,7 @@ package space.kscience.kmath.samplers
 
 import space.kscience.kmath.chains.BlockingIntChain
 import space.kscience.kmath.random.RandomGenerator
+import space.kscience.kmath.stat.Sampler
 import space.kscience.kmath.structures.IntBuffer
 import kotlin.math.exp
 

kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/NormalizedGaussianSampler.kt

@@ -7,6 +7,7 @@ package space.kscience.kmath.samplers
 
 import space.kscience.kmath.chains.BlockingDoubleChain
 import space.kscience.kmath.random.RandomGenerator
+import space.kscience.kmath.stat.Sampler
 
 public interface BlockingDoubleSampler : Sampler<Double> {
     override fun sample(generator: RandomGenerator): BlockingDoubleChain

kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/PoissonSampler.kt

@@ -8,6 +8,7 @@ package space.kscience.kmath.samplers
 import space.kscience.kmath.chains.BlockingIntChain
 import space.kscience.kmath.misc.toIntExact
 import space.kscience.kmath.random.RandomGenerator
+import space.kscience.kmath.stat.Sampler
 import space.kscience.kmath.structures.IntBuffer
 import kotlin.math.*
 

kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/Sampler.kt

@@ -9,6 +9,7 @@ import kotlinx.coroutines.flow.first
 import space.kscience.kmath.chains.Chain
 import space.kscience.kmath.chains.combine
 import space.kscience.kmath.misc.UnstableKMathAPI
+import space.kscience.kmath.random.RandomGenerator
 import space.kscience.kmath.structures.Buffer
 import space.kscience.kmath.structures.BufferFactory
 import space.kscience.kmath.structures.DoubleBuffer

kmath-stat/src/commonMain/kotlin/space/kscience/kmath/samplers/SamplerAlgebra.kt

@@ -13,6 +13,7 @@ import space.kscience.kmath.operations.Group
 import space.kscience.kmath.operations.ScaleOperations
 import space.kscience.kmath.operations.invoke
 import space.kscience.kmath.random.RandomGenerator
+import space.kscience.kmath.stat.Sampler
 
 /**
  * Implements [Sampler] by sampling only certain [value].

kmath-stat/src/commonMain/kotlin/space/kscience/kmath/series/SeriesAlgebra.kt

@@ -97,7 +97,7 @@ public class SeriesAlgebra<T, out A : Ring<T>, out BA : BufferAlgebra<T, A>, L>(
      * Build a new series
      */
     public fun series(size: Int, fromIndex: Int = 0, block: A.(label: L) -> T): Series<T> {
-        return bufferFactory(size) {
+        return elementAlgebra.bufferFactory(size) {
             val index = it + fromIndex
             elementAlgebra.block(labelResolver(index))
         }.moveTo(fromIndex)
@@ -122,7 +122,7 @@ public class SeriesAlgebra<T, out A : Ring<T>, out BA : BufferAlgebra<T, A>, L>(
      * Map a series to another series of the same size
      */
     public inline fun Buffer<T>.map(crossinline transform: A.(T) -> T): Series<T> {
-        val buf = bufferFactory(size) {
+        val buf = elementAlgebra.bufferFactory(size) {
             elementAlgebra.transform(getAbsolute(it))
         }
         return buf.moveTo(indices.first)
@@ -133,7 +133,7 @@ public class SeriesAlgebra<T, out A : Ring<T>, out BA : BufferAlgebra<T, A>, L>(
      */
     public inline fun Buffer<T>.mapWithLabel(crossinline transform: A.(arg: T, label: L) -> T): Series<T> {
         val labels = labels
-        val buf = bufferFactory(size) {
+        val buf = elementAlgebra.bufferFactory(size) {
             elementAlgebra.transform(getAbsolute(it), labels[it])
         }
         return buf.moveTo(indices.first)
@@ -161,7 +161,7 @@ public class SeriesAlgebra<T, out A : Ring<T>, out BA : BufferAlgebra<T, A>, L>(
         crossinline operation: A.(left: T, right: T) -> T,
     ): Series<T> {
         val newRange = indices.intersect(other.indices)
-        return bufferFactory(newRange.size) {
+        return elementAlgebra.bufferFactory(newRange.size) {
             elementAlgebra.operation(
                 getAbsolute(it),
                 other.getAbsolute(it)

kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/Median.kt

@@ -5,8 +5,8 @@
 
 package space.kscience.kmath.stat
 
+import space.kscience.kmath.operations.asSequence
 import space.kscience.kmath.structures.Buffer
-import space.kscience.kmath.structures.asSequence
 
 /**
  * Non-composable median

kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/Rank.kt

@@ -1,7 +1,7 @@
 package space.kscience.kmath.stat
 
+import space.kscience.kmath.operations.asIterable
 import space.kscience.kmath.structures.Buffer
-import space.kscience.kmath.structures.asIterable
 
 /**
  * Rank statistics

kmath-stat/src/commonMain/kotlin/space/kscience/kmath/stat/StatisticalAlgebra.kt

@@ -1,16 +1,15 @@
 package space.kscience.kmath.stat
 
 import space.kscience.kmath.misc.UnstableKMathAPI
+import space.kscience.kmath.misc.sorted
 import space.kscience.kmath.operations.*
 import space.kscience.kmath.structures.Buffer
-import space.kscience.kmath.structures.BufferFactory
+import space.kscience.kmath.structures.MutableBufferFactory
-import space.kscience.kmath.structures.asIterable
-import space.kscience.kmath.structures.sorted
 
 public interface StatisticalAlgebra<T, out A : Algebra<T>, out BA : BufferAlgebra<T, A>> : Algebra<Buffer<T>> {
     public val bufferAlgebra: BA
     public val elementAlgebra: A get() = bufferAlgebra.elementAlgebra
-    public val bufferFactory: BufferFactory<T> get() = bufferAlgebra.bufferFactory
+    override val bufferFactory: MutableBufferFactory<Buffer<T>> get() = bufferAlgebra.bufferFactory
 }
 
 /**
@@ -41,8 +40,8 @@ public fun <T : Comparable<T>, A, BA : BufferAlgebra<T, A>> StatisticalAlgebra<T
     val n = sx.size
     val m = sy.size
 
-    var rankX = 0
+    var rankX: Int = 0
-    var rankY = 0
+    var rankY: Int = 0
     var curD: T = zero
 
     // Find the max difference between cdf_x and cdf_y

kmath-stat/src/jvmTest/kotlin/space/kscience/kmath/stat/SamplerTest.kt

@@ -8,8 +8,6 @@ package space.kscience.kmath.stat
 import kotlinx.coroutines.runBlocking
 import space.kscience.kmath.random.RandomGenerator
 import space.kscience.kmath.random.chain
-import space.kscience.kmath.samplers.Sampler
-import space.kscience.kmath.samplers.sampleBuffer
 import kotlin.test.Test
 
 class SamplerTest {

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

@@ -8,8 +8,8 @@ package space.kscience.kmath.tensors.core.internal
 import space.kscience.kmath.nd.as1D
 import space.kscience.kmath.operations.DoubleBufferOps.Companion.map
 import space.kscience.kmath.operations.toMutableList
+import space.kscience.kmath.random.RandomGenerator
 import space.kscience.kmath.samplers.GaussianSampler
-import space.kscience.kmath.stat.RandomGenerator
 import space.kscience.kmath.structures.DoubleBuffer
 import space.kscience.kmath.tensors.core.BufferedTensor
 import space.kscience.kmath.tensors.core.DoubleTensor