data class Result(val result: Int, val status: Status) fun function(...): Result {
// computations
return Result(result, status) }
// Now, to use this function:
val (result, status) = function(...)
Since data classes automatically declare componentN() functions, destructuring declarations work here.
NOTE: we could also use the standard class Pair and have function() return Pair<Int, Status> , but it’s often better to have your data named properly.
Probably the nicest way to traverse a map is this:
for ((key, value) in map) {
// do something with the key and the value }
To make this work, we should
present the map as a sequence of values by providing an iterator() function,
present each of the elements as a pair by providing functions component1() and component2() . And indeed, the standard library provides such extensions:
operator fun <K, V> Map<K, V>.iterator(): Iterator<Map.Entry<K, V>> = entrySet().iterator()
operator fun <K, V> Map.Entry<K, V>.component1() = getKey() operator fun <K, V> Map.Entry<K, V>.component2() = getValue()
So you can freely use destructuring declarations in for-loops with maps (as well as collections of data class instances etc).
Example: Destructuring Declarations and Maps
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Unlike many languages, Kotlin distinguishes between mutable and immutable collections (lists, sets, maps, etc). Precise control over exactly when collections can be edited is useful for eliminating bugs, and for designing good APIs.
It is important to understand up front the difference between a read only view of a mutable collection, and an actually immutable collection. Both are easy to create, but the type system doesn’t express the difference, so keeping track of that (if it’s relevant) is up to you.
The Kotlin List<out T> type is an interface that provides read only operations like size , get and so on. Like in Java, it inherits from Collection<T> and that in turn inherits from Iterable<T> . Methods that change the list are added by the MutableList<T> interface. This pattern holds also for Set<out T>/MutableSet<T> and Map<K, out V>/MutableMap<K, V> .
We can see basic usage of the list and set types below:
val numbers: MutableList<Int> = mutableListOf(1, 2, 3) val readOnlyView: List<Int> = numbers
println(numbers) // prints "[1, 2, 3]" numbers.add(4)
println(readOnlyView) // prints "[1, 2, 3, 4]" readOnlyView.clear() // -> does not compile
val strings = hashSetOf("a", "b", "c", "c") assert(strings.size == 3)
Kotlin does not have dedicated syntax constructs for creating lists or sets. Use methods from the standard library, such as listOf() , mutableListOf() , setOf() , mutableSetOf() . For creating maps in a not performance-critical code a simple idiom may be used: mapOf(a to b, c to d)
Note that the readOnlyView variable points to the same list and changes as the underlying list changes. If the only references that exist to a list are of the read only variety, we can consider the collection fully immutable. A simple way to create such a collection is like this:
val items = listOf(1, 2, 3)
Currently, the listOf method is implemented using an array list, but in future more memory-efficient fully immutable collection types could be returned that exploit the fact that they know they can’t change.
Note that the read only types are covariant. That means, you can take a List<Rectangle> and assign it to List<Shape> assuming Rectangle inherits from Shape. This wouldn’t be allowed with the mutable collection types because it would allow for failures at runtime.
Sometimes you want to return to the caller a snapshot of a collection at a particular point in time, one that’s guaranteed to not change:
class Controller {
private val _items = mutableListOf<String>() val items: List<String> get() = _items.toList() }
The toList extension method just duplicates the lists items, thus, the returned list is guaranteed to never change. There are various useful extension methods on lists and sets that are worth being familiar with:
val items = listOf(1, 2, 3, 4) items.first == 1
items.last == 4
items.filter { it % 2 == 0 } // Returns [2, 4] rwList.requireNoNulls()
if (rwList.none { it > 6 }) println("No items above 6") val item = rwList.firstOrNull()
… as well as all the utilities you would expect such as sort, zip, fold, reduce and so on.
Maps follow the same pattern. They can be easily instantiated and accessed like this:
val readWriteMap = hashMapOf("foo" to 1, "bar" to 2) println(readWriteMap["foo"])
Range expressions are formed with rangeTo functions that have the operator form .. which is complemented by in and !in. Range is defined for any comparable type, but for integral primitive types it has an optimized implementation. Here are some examples of using ranges
if (i in 1..10) { // equivalent of 1 <= i && i <= 10 println(i)
}
Integral type ranges ( IntRange , LongRange , CharRange ) have an extra feature: they can be iterated over. The compiler takes care of converting this analogously to Java’s indexed for-loop, without extra overhead.
for (i in 1..4) print(i) // prints "1234" for (i in 4..1) print(i) // prints nothing
What if you want to iterate over numbers in reverse order? It’s simple. You can use the downTo() function defined in the standard library
for (i in 4 downTo 1) print(i) // prints "4321"
Is it possible to iterate over numbers with arbitrary step, not equal to 1? Sure, the step() function will help you for (i in 1..4 step 2) print(i) // prints "13"
for (i in 4 downTo 1 step 2) print(i) // prints "42"
Ranges implement a common interface in the library: ClosedRange<T> .
ClosedRange<T> denotes a closed interval in the mathematical sense, defined for comparable types. It has two
endpoints: start and endInclusive , which are included in the range. The main operation is contains , usually used in the form of in/!in operators.
Integral type progressions ( IntProgression , LongProgression , CharProgression ) denote an arithmetic progression. Progressions are defined by the first element, the last element and a non-zero increment . The first element is first , subsequent elements are the previous element plus increment . The last element is always hit by iteration unless the progression is empty.
A progression is a subtype of Iterable<N> , where N is Int , Long or Char respectively, so it can be used in for- loops and functions like map , filter , etc. Iteration over Progression is equivalent to an indexed for-loop in Java/JavaScript:
for (int i = first; i != last; i += increment) { // ...
}