prob renamed to stat
This commit is contained in:
parent
f8c3d1793c
commit
dfa1bcaf01
@ -12,6 +12,7 @@
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- A `Symbol` indexing scope.
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- Basic optimization API for Commons-math.
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- Chi squared optimization for array-like data in CM
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- `Fitting` utility object in prob/stat
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### Changed
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- Package changed from `scientifik` to `kscience.kmath`.
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@ -21,6 +22,7 @@
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- Kotlin version: 1.3.72 -> 1.4.20-M1
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- `kmath-ast` doesn't depend on heavy `kotlin-reflect` library.
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- Full autodiff refactoring based on `Symbol`
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- `kmath-prob` renamed to `kmath-stat`
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### Deprecated
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@ -99,7 +99,7 @@ can be used for a wide variety of purposes from high performance calculations to
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> - [buffers](kmath-core/src/commonMain/kotlin/kscience/kmath/structures/Buffers.kt) : One-dimensional structure
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> - [expressions](kmath-core/src/commonMain/kotlin/kscience/kmath/expressions) : Functional Expressions
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> - [domains](kmath-core/src/commonMain/kotlin/kscience/kmath/domains) : Domains
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> - [autodif](kmath-core/src/commonMain/kotlin/kscience/kmath/misc/AutoDiff.kt) : Automatic differentiation
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> - [autodif](kmath-core/src/commonMain/kotlin/kscience/kmath/expressions/SimpleAutoDiff.kt) : Automatic differentiation
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<hr/>
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@ -151,7 +151,7 @@ can be used for a wide variety of purposes from high performance calculations to
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> **Maturity**: EXPERIMENTAL
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<hr/>
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* ### [kmath-prob](kmath-prob)
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* ### [kmath-stat](kmath-stat)
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>
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>
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> **Maturity**: EXPERIMENTAL
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@ -201,4 +201,4 @@ with the same artifact names.
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## Contributing
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The project requires a lot of additional work. Please feel free to contribute in any way and propose new features.
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The project requires a lot of additional work. The most important thing we need is a feedback about what features are required the most. Feel free to open feature issues with requests. We are also welcome to code contributions, especially in issues marked as [waiting for a hero](https://github.com/mipt-npm/kmath/labels/waiting%20for%20a%20hero).
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@ -2,7 +2,7 @@ plugins {
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id("ru.mipt.npm.project")
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}
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val kmathVersion: String by extra("0.2.0-dev-2")
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val kmathVersion: String by extra("0.2.0-dev-3")
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val bintrayRepo: String by extra("kscience")
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val githubProject: String by extra("kmath")
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@ -23,7 +23,7 @@ dependencies {
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implementation(project(":kmath-core"))
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implementation(project(":kmath-coroutines"))
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implementation(project(":kmath-commons"))
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implementation(project(":kmath-prob"))
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implementation(project(":kmath-stat"))
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implementation(project(":kmath-viktor"))
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implementation(project(":kmath-dimensions"))
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implementation(project(":kmath-ejml"))
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@ -4,7 +4,7 @@ import kotlinx.coroutines.Dispatchers
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import kotlinx.coroutines.async
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import kotlinx.coroutines.runBlocking
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import kscience.kmath.chains.BlockingRealChain
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import kscience.kmath.prob.*
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import kscience.kmath.stat.*
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import org.apache.commons.rng.sampling.distribution.ZigguratNormalizedGaussianSampler
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import org.apache.commons.rng.simple.RandomSource
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import java.time.Duration
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@ -3,9 +3,9 @@ package kscience.kmath.commons.prob
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import kotlinx.coroutines.runBlocking
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import kscience.kmath.chains.Chain
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import kscience.kmath.chains.collectWithState
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import kscience.kmath.prob.Distribution
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import kscience.kmath.prob.RandomGenerator
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import kscience.kmath.prob.normal
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import kscience.kmath.stat.Distribution
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import kscience.kmath.stat.RandomGenerator
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import kscience.kmath.stat.normal
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private data class AveragingChainState(var num: Int = 0, var value: Double = 0.0)
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@ -6,7 +6,7 @@ description = "Commons math binding for kmath"
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dependencies {
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api(project(":kmath-core"))
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api(project(":kmath-coroutines"))
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api(project(":kmath-prob"))
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api(project(":kmath-stat"))
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api(project(":kmath-functions"))
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api("org.apache.commons:commons-math3:3.6.1")
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}
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@ -1,6 +1,10 @@
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package kscience.kmath.commons.optimization
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import kscience.kmath.expressions.*
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import kscience.kmath.stat.OptimizationFeature
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import kscience.kmath.stat.OptimizationProblem
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import kscience.kmath.stat.OptimizationProblemFactory
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import kscience.kmath.stat.OptimizationResult
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import org.apache.commons.math3.optim.*
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import org.apache.commons.math3.optim.nonlinear.scalar.GoalType
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import org.apache.commons.math3.optim.nonlinear.scalar.MultivariateOptimizer
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@ -4,7 +4,9 @@ import kscience.kmath.commons.expressions.DerivativeStructureField
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import kscience.kmath.expressions.DifferentiableExpression
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import kscience.kmath.expressions.Expression
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import kscience.kmath.expressions.Symbol
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import kscience.kmath.prob.Fitting
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import kscience.kmath.stat.Fitting
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import kscience.kmath.stat.OptimizationResult
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import kscience.kmath.stat.optimizeWith
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import kscience.kmath.structures.Buffer
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import kscience.kmath.structures.asBuffer
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import org.apache.commons.math3.analysis.differentiation.DerivativeStructure
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@ -1,6 +1,6 @@
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package kscience.kmath.commons.random
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import kscience.kmath.prob.RandomGenerator
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import kscience.kmath.stat.RandomGenerator
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public class CMRandomGeneratorWrapper(
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public val factory: (IntArray) -> RandomGenerator,
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@ -2,10 +2,10 @@ package kscience.kmath.commons.optimization
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import kscience.kmath.commons.expressions.DerivativeStructureExpression
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import kscience.kmath.expressions.symbol
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import kscience.kmath.prob.Distribution
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import kscience.kmath.prob.Fitting
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import kscience.kmath.prob.RandomGenerator
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import kscience.kmath.prob.normal
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import kscience.kmath.stat.Distribution
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import kscience.kmath.stat.Fitting
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import kscience.kmath.stat.RandomGenerator
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import kscience.kmath.stat.normal
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import kscience.kmath.structures.asBuffer
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import org.junit.jupiter.api.Test
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import kotlin.math.pow
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@ -7,7 +7,7 @@ The core features of KMath:
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- [buffers](src/commonMain/kotlin/kscience/kmath/structures/Buffers.kt) : One-dimensional structure
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- [expressions](src/commonMain/kotlin/kscience/kmath/expressions) : Functional Expressions
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- [domains](src/commonMain/kotlin/kscience/kmath/domains) : Domains
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- [autodif](src/commonMain/kotlin/kscience/kmath/misc/AutoDiff.kt) : Automatic differentiation
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- [autodif](src/commonMain/kotlin/kscience/kmath/expressions/SimpleAutoDiff.kt) : Automatic differentiation
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> #### Artifact:
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feature(
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id = "autodif",
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description = "Automatic differentiation",
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ref = "src/commonMain/kotlin/kscience/kmath/misc/SimpleAutoDiff.kt"
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ref = "src/commonMain/kotlin/kscience/kmath/expressions/SimpleAutoDiff.kt"
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)
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}
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@ -1,4 +1,4 @@
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package kscience.kmath.prob
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package kscience.kmath.stat
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import kscience.kmath.chains.Chain
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import kscience.kmath.chains.collect
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package kscience.kmath.prob
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package kscience.kmath.stat
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import kscience.kmath.chains.Chain
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import kscience.kmath.chains.SimpleChain
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package kscience.kmath.prob
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package kscience.kmath.stat
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import kscience.kmath.expressions.*
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import kscience.kmath.operations.ExtendedField
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package kscience.kmath.commons.optimization
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package kscience.kmath.stat
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import kscience.kmath.expressions.DifferentiableExpression
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import kscience.kmath.expressions.Expression
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package kscience.kmath.prob
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package kscience.kmath.stat
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import kscience.kmath.chains.Chain
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package kscience.kmath.prob
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package kscience.kmath.stat
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import kotlin.random.Random
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package kscience.kmath.prob
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package kscience.kmath.stat
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import kscience.kmath.chains.Chain
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import kscience.kmath.chains.ConstantChain
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package kscience.kmath.prob
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package kscience.kmath.stat
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import kotlinx.coroutines.CoroutineDispatcher
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import kotlinx.coroutines.Dispatchers
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package kscience.kmath.prob
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package kscience.kmath.stat
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import kscience.kmath.chains.Chain
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import kscience.kmath.chains.SimpleChain
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package kscience.kmath.prob
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package kscience.kmath.stat
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import org.apache.commons.rng.UniformRandomProvider
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import org.apache.commons.rng.simple.RandomSource
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package kscience.kmath.prob
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package kscience.kmath.stat
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import kscience.kmath.chains.BlockingIntChain
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import kscience.kmath.chains.BlockingRealChain
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package kscience.kmath.prob
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package kscience.kmath.stat
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import kotlinx.coroutines.flow.take
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import kotlinx.coroutines.flow.toList
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package kscience.kmath.prob
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package kscience.kmath.stat
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import kotlinx.coroutines.runBlocking
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import kotlin.test.Test
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package kscience.kmath.prob
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package kscience.kmath.stat
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import kotlinx.coroutines.flow.drop
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import kotlinx.coroutines.flow.first
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":kmath-histograms",
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":kmath-commons",
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":kmath-viktor",
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":kmath-prob",
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":kmath-stat",
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":kmath-dimensions",
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":kmath-for-real",
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":kmath-geometry",
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