Package space.kscience.kmath.chains

Types

BlockingBufferChain

common

interface BlockingBufferChain<out T> : BlockingChain<T> , BufferChain<T>

BlockingChain

common

interface BlockingChain<out T> : Chain<T>

A chain with blocking generator that could be used without suspension

BlockingDoubleChain

common

interface BlockingDoubleChain : BlockingBufferChain<Double>

Chunked, specialized chain for double values, which supports blocking nextBlocking operation

BlockingIntChain

common

interface BlockingIntChain : BlockingBufferChain<Int>

Performance optimized chain for integer values

BufferChain

common

interface BufferChain<out T> : Chain<T>

Chain

common

interface Chain<out T> : Flow<T>

A not-necessary-Markov chain of some type

ConstantChain

common

class ConstantChain<out T>(value: T) : Chain<T>

A chain that repeats the same value

MarkovChain

common

class MarkovChain<out R : Any>(seed: suspend () -> R, gen: suspend (R) -> R) : Chain<R>

A stateless Markov chain

SimpleChain

common

class SimpleChain<out R>(gen: suspend () -> R) : Chain<R>

A simple chain of independent tokens.

StatefulChain

common

class StatefulChain<S, out R>(state: S, seed: S.() -> R, forkState: (S) -> S, gen: suspend S.(R) -> R) : Chain<R>

A chain with possibly mutable state.

Functions

asChain

common

fun <T> Iterator<T>.asChain(): Chain<T>

fun <T> Sequence<T>.asChain(): Chain<T>

asSequence

jvm

fun <R> Chain<R>.asSequence(): Sequence<R>

Represent a chain as a sequence

collect

common

fun <T, R> Chain<T>.collect(mapper: suspend (Chain<T>) -> R): Chain<R>

Map the whole chain

collectWithState

common

fun <T, S, R> Chain<T>.collectWithState(state: S, stateFork: (S) -> S, mapper: suspend S.(Chain<T>) -> R): Chain<R>

cumulativeSum

common

fun <T> Flow<T>.cumulativeSum(group: GroupOps<T>): Flow<T>

filter

common

fun <T> Chain<T>.filter(block: (T) -> Boolean): Chain<T>

block must be a pure function or at least not use external random variables, otherwise fork could be broken

iterator

jvm

operator fun <R> Chain<R>.iterator(): Iterator<R>

Represent a chain as regular iterator (uses blocking calls)

map

common

fun BlockingDoubleChain.map(transform: (Double) -> Double): BlockingDoubleChain

fun <T, R> Chain<T>.map(func: suspend (T) -> R): Chain<R>

Map the chain result using suspended transformation.

mean

common

@ExperimentalCoroutinesApi()

fun <T, S : Ring<T>, ScaleOperations<T>> Flow<T>.mean(space: S): Flow<T>

nextBuffer

common

inline suspend fun <T : Any> Chain<T>.nextBuffer(size: Int): Buffer<T>

nextBufferBlocking

common

inline fun <T : Any> BlockingChain<T>.nextBufferBlocking(size: Int): Buffer<T>

zip

common

fun <T, U, R> Chain<T>.zip(other: Chain<U>, block: suspend (T, U) -> R): Chain<R>

Zip two chains together using given transformation