alchemist/it.unibo.alchemist.model.cognitive/GroupWithLeader

GroupWithLeader

interface GroupWithLeader<T, N : Node<T>> : Group<T>

A group that designates a special member as the leader.

Type Parameters

T

the concentration type.

N

the concrete node type used for the leader.

Inheritors

Properties

abstract val leader: N

The node acting as the group's leader.

open val members: List<Node<T>>

The list of nodes that belong to this group.

abstract override val size: Int

Functions

@IgnorableReturnValue

abstract override fun add(element: Node<T>): Boolean

abstract fun add(index: Int, element: Node<T>)

@IgnorableReturnValue

abstract override fun addAll(elements: Collection<Node<T>>): Boolean

@IgnorableReturnValue

abstract fun addAll(index: Int, elements: Collection<Node<T>>): Boolean

abstract override fun clear()

fun <T, O> List<Observable<T>>.combineLatest(collector: (List<T>) -> O): Observable<Option<O>>

Collects the latest values emitted by a list of Observables and transforms them into a new Observable using the provided collector function.

abstract operator override fun contains(element: Node<T>): Boolean

abstract override fun containsAll(elements: Collection<Node<T>>): Boolean

findExtremeCoordsOnX

fun <V : Vector2D<V>> List<V>.findExtremeCoordsOnX(): ClosedRange<Double>

Given a non-empty list of points represented as vectors, this method finds the extreme coordinates (i.e. min and max coordinates) on the X-axis, these are used to create the returned ClosedRange.

findExtremeCoordsOnY

fun <V : Vector2D<V>> List<V>.findExtremeCoordsOnY(): ClosedRange<Double>

Given a non-empty list of points represented as vectors, this method finds the extreme coordinates (i.e. min and max coordinates) on the Y-axis, these are used to create the returned ClosedRange.

abstract operator fun get(index: Int): Node<T>

abstract fun indexOf(element: Node<T>): Int

abstract override fun isEmpty(): Boolean

abstract operator override fun iterator(): MutableIterator<Node<T>>

abstract fun lastIndexOf(element: Node<T>): Int

abstract override fun listIterator(): MutableListIterator<Node<T>>

abstract override fun listIterator(index: Int): MutableListIterator<Node<T>>

fun <R> Iterable<R>.randomElement(randomGenerator: RandomGenerator): R

Returns a random element of the Iterable using the provided randomGenerator.

@IgnorableReturnValue

abstract override fun remove(element: Node<T>): Boolean

@IgnorableReturnValue

abstract override fun removeAll(elements: Collection<Node<T>>): Boolean

@IgnorableReturnValue

abstract fun removeAt(index: Int): Node<T>

@IgnorableReturnValue

abstract override fun retainAll(elements: Collection<Node<T>>): Boolean

@IgnorableReturnValue

abstract operator fun set(index: Int, element: Node<T>): Node<T>

fun <R> Iterable<R>.shuffled(randomGenerator: RandomGenerator): Iterable<R>

Fisher–Yates shuffle algorithm using a RandomGenerator. More information on Wikipedia.

abstract override fun subList(fromIndex: Int, toIndex: Int): MutableList<Node<T>>

fun <T> List<T>.takeFraction(percentage: Double): List<T>

Takes the first percentage * size elements of the list.

toObservableList

fun <T> List<T>.toObservableList(): ObservableMutableList<T>

Converts the current list into an observable mutable list.

toObservableSet

fun <T> List<T>.toObservableSet(): ObservableMutableSet<T>

Converts the current list into an observable mutable set.