Feature/tensors performance #497

Closed
margarita0303 wants to merge 91 commits from feature/tensors-performance into feature/tensors-performance
2 changed files with 6 additions and 4 deletions
Showing only changes of commit ce82d2d076 - Show all commits

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@ -5,5 +5,8 @@
package space.kscience.kmath.histogram
//class UniformDoubleHistogram1D: DoubleHistogram1D {
//class UniformHistogram1D(
// public val borders: Buffer<Double>,
// public val values: Buffer<Long>,
//) : Histogram1D<Double, Long> {
//}

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@ -3,6 +3,8 @@
* 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)
package space.kscience.kmath.histogram
import space.kscience.kmath.domains.DoubleDomain1D
@ -31,7 +33,6 @@ public data class ValueAndError(val value: Double, val error: Double)
public typealias WeightedBin1D = Bin1D<Double, ValueAndError>
@UnstableKMathAPI
public class TreeHistogram(
private val binMap: TreeMap<Double, WeightedBin1D>,
) : Histogram1D<Double, ValueAndError> {
@ -39,7 +40,6 @@ public class TreeHistogram(
override val bins: Collection<WeightedBin1D> get() = binMap.values
}
@OptIn(UnstableKMathAPI::class)
@PublishedApi
internal class TreeHistogramBuilder(val binFactory: (Double) -> DoubleDomain1D) : Histogram1DBuilder<Double, Double> {
@ -87,7 +87,6 @@ internal class TreeHistogramBuilder(val binFactory: (Double) -> DoubleDomain1D)
/**
* A space for univariate histograms with variable bin borders based on a tree map
*/
@UnstableKMathAPI
public class TreeHistogramSpace(
@PublishedApi internal val binFactory: (Double) -> DoubleDomain1D,
) : Group<TreeHistogram>, ScaleOperations<TreeHistogram> {