Kotlin 1.4.20 Migration #134
@ -8,16 +8,16 @@ import kotlin.contracts.contract
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import kotlin.math.max
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import kotlin.math.pow
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// TODO make `inline`, when KT-41771 gets fixed
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/**
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* Polynomial coefficients without fixation on specific context they are applied to
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* @param coefficients constant is the leftmost coefficient
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*/
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public inline class Polynomial<T : Any>(public val coefficients: List<T>) {
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public /*inline*/ class Polynomial<T : Any>(public val coefficients: List<T>) {
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public constructor(vararg coefficients: T) : this(coefficients.toList())
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}
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public fun Polynomial<Double>.value(): Double =
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coefficients.reduceIndexed { index: Int, acc: Double, d: Double -> acc + d.pow(index) }
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public fun Polynomial<Double>.value(): Double = coefficients.reduceIndexed { index, acc, d -> acc + d.pow(index) }
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public fun <T : Any, C : Ring<T>> Polynomial<T>.value(ring: C, arg: T): T = ring {
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if (coefficients.isEmpty()) return@ring zero
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@ -26,7 +26,7 @@ public fun <T : Any, C : Ring<T>> Polynomial<T>.value(ring: C, arg: T): T = ring
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for (index in 1 until coefficients.size) {
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res += coefficients[index] * powerArg
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//recalculating power on each step to avoid power costs on long polynomials
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// recalculating power on each step to avoid power costs on long polynomials
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powerArg *= arg
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}
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@ -3,65 +3,56 @@ package scientifik.kmath.prob
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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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class RandomSourceGenerator(val source: RandomSource, seed: Long?) : RandomGenerator {
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public class RandomSourceGenerator(public val source: RandomSource, seed: Long?) : RandomGenerator {
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internal val random: UniformRandomProvider = seed?.let {
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RandomSource.create(source, seed)
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} ?: RandomSource.create(source)
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override fun nextBoolean(): Boolean = random.nextBoolean()
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public override fun nextBoolean(): Boolean = random.nextBoolean()
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public override fun nextDouble(): Double = random.nextDouble()
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public override fun nextInt(): Int = random.nextInt()
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public override fun nextInt(until: Int): Int = random.nextInt(until)
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public override fun nextLong(): Long = random.nextLong()
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public override fun nextLong(until: Long): Long = random.nextLong(until)
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override fun nextDouble(): Double = random.nextDouble()
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override fun nextInt(): Int = random.nextInt()
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override fun nextInt(until: Int): Int = random.nextInt(until)
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override fun nextLong(): Long = random.nextLong()
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override fun nextLong(until: Long): Long = random.nextLong(until)
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override fun fillBytes(array: ByteArray, fromIndex: Int, toIndex: Int) {
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public override fun fillBytes(array: ByteArray, fromIndex: Int, toIndex: Int) {
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require(toIndex > fromIndex)
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random.nextBytes(array, fromIndex, toIndex - fromIndex)
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}
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override fun fork(): RandomGenerator = RandomSourceGenerator(source, nextLong())
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public override fun fork(): RandomGenerator = RandomSourceGenerator(source, nextLong())
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}
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inline class RandomGeneratorProvider(val generator: RandomGenerator) : UniformRandomProvider {
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override fun nextBoolean(): Boolean = generator.nextBoolean()
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public inline class RandomGeneratorProvider(public val generator: RandomGenerator) : UniformRandomProvider {
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public override fun nextBoolean(): Boolean = generator.nextBoolean()
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public override fun nextFloat(): Float = generator.nextDouble().toFloat()
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override fun nextFloat(): Float = generator.nextDouble().toFloat()
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override fun nextBytes(bytes: ByteArray) {
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public override fun nextBytes(bytes: ByteArray) {
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generator.fillBytes(bytes)
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}
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override fun nextBytes(bytes: ByteArray, start: Int, len: Int) {
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public override fun nextBytes(bytes: ByteArray, start: Int, len: Int) {
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generator.fillBytes(bytes, start, start + len)
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}
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override fun nextInt(): Int = generator.nextInt()
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override fun nextInt(n: Int): Int = generator.nextInt(n)
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override fun nextDouble(): Double = generator.nextDouble()
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override fun nextLong(): Long = generator.nextLong()
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override fun nextLong(n: Long): Long = generator.nextLong(n)
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public override fun nextInt(): Int = generator.nextInt()
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public override fun nextInt(n: Int): Int = generator.nextInt(n)
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public override fun nextDouble(): Double = generator.nextDouble()
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public override fun nextLong(): Long = generator.nextLong()
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public override fun nextLong(n: Long): Long = generator.nextLong(n)
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}
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/**
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* Represent this [RandomGenerator] as commons-rng [UniformRandomProvider] preserving and mirroring its current state.
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* Getting new value from one of those changes the state of another.
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*/
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fun RandomGenerator.asUniformRandomProvider(): UniformRandomProvider = if (this is RandomSourceGenerator) {
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public fun RandomGenerator.asUniformRandomProvider(): UniformRandomProvider = if (this is RandomSourceGenerator)
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random
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} else {
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else
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RandomGeneratorProvider(this)
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}
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fun RandomGenerator.Companion.fromSource(source: RandomSource, seed: Long? = null): RandomSourceGenerator =
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public fun RandomGenerator.Companion.fromSource(source: RandomSource, seed: Long? = null): RandomSourceGenerator =
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RandomSourceGenerator(source, seed)
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fun RandomGenerator.Companion.mersenneTwister(seed: Long? = null): RandomSourceGenerator =
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public fun RandomGenerator.Companion.mersenneTwister(seed: Long? = null): RandomSourceGenerator =
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fromSource(RandomSource.MT, seed)
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@ -26,10 +26,10 @@ public fun F64Array.asStructure(): ViktorNDStructure = ViktorNDStructure(this)
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@Suppress("OVERRIDE_BY_INLINE", "NOTHING_TO_INLINE")
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public class ViktorNDField(public override val shape: IntArray) : NDField<Double, RealField, ViktorNDStructure> {
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public override val zero: ViktorNDStructure
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get() = F64Array.full(init = 0.0, shape = *shape).asStructure()
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get() = F64Array.full(init = 0.0, shape = shape).asStructure()
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public override val one: ViktorNDStructure
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get() = F64Array.full(init = 1.0, shape = *shape).asStructure()
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get() = F64Array.full(init = 1.0, shape = shape).asStructure()
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public val strides: Strides = DefaultStrides(shape)
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@ -26,7 +26,7 @@ rootProject.name = "kmath"
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include(
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":kmath-memory",
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":kmath-core",
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// ":kmath-functions",
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":kmath-functions",
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":kmath-coroutines",
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":kmath-histograms",
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":kmath-commons",
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