com.r3corda.client.fxutils / MappedList

# MappedList

`class MappedList<A, B> : TransformationList<B, A>`

This is a variant of EasyBind.map where the mapped list is backed, therefore the mapping function will only be run when an element is inserted or updated. Use this instead of EasyBind.map to trade off memory vs CPU, or if (god forbid) the mapped function is side-effecting.

### Constructors

<init> | `MappedList(list: ObservableList<A>, function: (A) -> B)` This is a variant of EasyBind.map where the mapped list is backed, therefore the mapping function will only be run when an element is inserted or updated. Use this instead of EasyBind.map to trade off memory vs CPU, or if (god forbid) the mapped function is side-effecting.

### Properties

function | `val function: (A) -> B`
size | `val size: Int`

### Functions

get | `fun get(index: Int): B`
getSourceIndex | `fun getSourceIndex(index: Int): Int`
sourceChanged | `fun sourceChanged(change: Change<out A>): Unit`

### Extension Functions

associateBy | `fun <K, A, B> ObservableList<out A>.associateBy(toKey: (A) -> K, assemble: (K, A) -> B): ObservableMap<K, B>` data class Person(val height: Long) val people: ObservableList = (..) val nameToHeight: ObservableMap<String, Long> = people.associateBy(Person::name) { name, person -> person.height } `fun <K, A> ObservableList<out A>.associateBy(toKey: (A) -> K): ObservableMap<K, A>` val people: ObservableList = (..) val nameToPerson: ObservableMap<String, Person> = people.associateBy(Person::name)
associateByAggregation | `fun <K : Any, A : Any, B> ObservableList<out A>.associateByAggregation(toKey: (A) -> K, assemble: (K, A) -> B): ObservableMap<K, ObservableList<B>>` val people: ObservableList = (..) val heightToNames: ObservableMap<Long, ObservableList> = people.associateByAggregation(Person::height) { name, person -> person.name } `fun <K : Any, A : Any> ObservableList<out A>.associateByAggregation(toKey: (A) -> K): ObservableMap<K, ObservableList<A>>` val people: ObservableList = (..) val heightToPeople: ObservableMap<Long, ObservableList> = people.associateByAggregation(Person::height)
filter | `fun <A> ObservableList<out A>.filter(predicate: ObservableValue<(A) -> Boolean>): ObservableList<A>` enum class FilterCriterion { HEIGHT, NAME } val filterCriterion: ObservableValue = (..) val people: ObservableList = (..) fun filterFunction(filterCriterion: FilterCriterion): (Person) -> Boolean { .. }
filterNotNull | `fun <A> ObservableList<out A?>.filterNotNull(): ObservableList<A>` data class Dog(val owner: Person?) val dogs: ObservableList = (..) val owners: ObservableList = dogs.map(Dog::owner).filterNotNull()
first | `fun <A> ObservableList<A>.first(): ObservableValue<A?>`
foldObservable | `fun <A, B> ObservableList<out A>.foldObservable(initial: B, folderFunction: (B, A) -> B): ObservableValue<B>` val people: ObservableList = (..) val concatenatedNames = people.foldObservable("", { names, person -> names + person.name }) val concatenatedNames2 = people.map(Person::name).fold("", String::plus)
getValueAt | `fun <A> ObservableList<A>.getValueAt(index: Int): ObservableValue<A?>`
indexOfOrThrow | `fun <T> List<T>.indexOfOrThrow(item: T): Int` Returns the index of the given item or throws IllegalArgumentException if not found.
isOrderedAndUnique | `fun <T, I : Comparable<I>> Iterable<T>.isOrderedAndUnique(extractId: T.() -> I): Boolean` Determine if an iterable data types contents are ordered and unique, based on their Comparable.compareTo function.
last | `fun <A> ObservableList<A>.last(): ObservableValue<A?>`
leftOuterJoin | `fun <A : Any, B : Any, C, K : Any> ObservableList<A>.leftOuterJoin(rightTable: ObservableList<B>, leftToJoinKey: (A) -> K, rightToJoinKey: (B) -> K, assemble: (A, ObservableList<B>) -> C): ObservableList<C>` data class Person(val name: String, val managerName: String) val people: ObservableList = (..) val managerEmployeeMapping: ObservableList<Pair<Person, ObservableList>> = people.leftOuterJoin(people, Person::name, Person::managerName) { manager, employees -> Pair(manager, employees) } `fun <A : Any, B : Any, K : Any> ObservableList<A>.leftOuterJoin(rightTable: ObservableList<B>, leftToJoinKey: (A) -> K, rightToJoinKey: (B) -> K): ObservableMap<K, <ERROR CLASS><ObservableList<A>, ObservableList<B>>>` data class Person(name: String, favouriteSpecies: Species) data class Animal(name: String, species: Species) val people: ObservableList = (..) val animals: ObservableList = (..) val peopleToFavouriteAnimals: ObservableMap<Species, Pair<ObservableList, ObservableList>> = people.leftOuterJoin(animals, Person::favouriteSpecies, Animal::species)
map | `fun <A, B> ObservableList<out A>.map(cached: Boolean = true, function: (A) -> B): ObservableList<B>` val dogs: ObservableList = (..) val dogOwners: ObservableList = dogs.map { it.owner }
noneOrSingle | `fun <T> Iterable<T>.noneOrSingle(predicate: (T) -> Boolean): T?` Returns the single element matching the given predicate, or `null` if element was not found, or throws if more than one element was found. `fun <T> Iterable<T>.noneOrSingle(): T?` Returns single element, or `null` if element was not found, or throws if more than one element was found.