Created
August 30, 2018 10:29
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Red-black tree implementation in Kotlin based on "Purely Functional Data Structures" book
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sealed class RedBlackTree<E : Comparable<E>> { | |
enum class Color { R, B } | |
companion object { | |
fun <T : Comparable<T>> emptyTree(): RedBlackTree<T> = Empty as RedBlackTree<T> | |
} | |
object Empty : RedBlackTree<Nothing>() | |
data class Tree<E : Comparable<E>>( | |
val color: Color, | |
val left: RedBlackTree<E>, | |
val element: E, | |
val right: RedBlackTree<E> | |
) : RedBlackTree<E>() { | |
fun balance(): Tree<E> { | |
fun buildBalancedTree( | |
leftLeft: RedBlackTree<E>, | |
leftElement: E, | |
leftRight: RedBlackTree<E>, | |
midElement: E, | |
rightLeft: RedBlackTree<E>, | |
rightElement: E, | |
rightRight: RedBlackTree<E> | |
) = Tree( | |
color = R, | |
left = Tree(B, leftLeft, leftElement, leftRight), | |
element = midElement, | |
right = Tree(B, rightLeft, rightElement, rightRight) | |
) | |
if (color == B) { | |
if (left is Tree<E> && left.color == R) { | |
if (left.left is Tree<E> && left.left.color == R) { | |
return buildBalancedTree( | |
leftLeft = left.left.left, | |
leftElement = left.left.element, | |
leftRight = left.left.right, | |
midElement = left.element, | |
rightLeft = left.right, | |
rightElement = this.element, | |
rightRight = this.right | |
) | |
} else if (left.right is Tree<E> && left.right.color == R) { | |
return buildBalancedTree( | |
leftLeft = left.left, | |
leftElement = left.element, | |
leftRight = left.right.left, | |
midElement = left.right.element, | |
rightLeft = left.right.right, | |
rightElement = this.element, | |
rightRight = this.right | |
) | |
} | |
} | |
if (right is Tree<E> && right.color == R) { | |
if (right.left is Tree<E> && right.left.color == R) { | |
return buildBalancedTree( | |
leftLeft = this.left, | |
leftElement = this.element, | |
leftRight = right.left.left, | |
midElement = right.left.element, | |
rightLeft = right.left.right, | |
rightElement = right.element, | |
rightRight = right.right | |
) | |
} else if (right.right is Tree<E> && right.right.color == R) { | |
return buildBalancedTree( | |
leftLeft = this.left, | |
leftElement = this.element, | |
leftRight = right.left, | |
midElement = right.element, | |
rightLeft = right.right.left, | |
rightElement = right.right.element, | |
rightRight = right.right.right | |
) | |
} | |
} | |
} | |
return this | |
} | |
} | |
fun contains(element: E): Boolean = when (this) { | |
Empty -> false | |
is Tree -> when { | |
element < this.element -> left.contains(element) | |
element > this.element -> right.contains(element) | |
else -> true | |
} | |
} | |
fun insert(element: E): Tree<E> { | |
fun insertInto(tree: RedBlackTree<E>): Tree<E> = | |
when (tree) { | |
Empty -> Tree(R, tree, element, tree) | |
is Tree -> when { | |
element < tree.element -> tree.copy(left = insertInto(tree.left)).balance() | |
element > tree.element -> tree.copy(right = insertInto(tree.right)).balance() | |
else -> tree | |
} | |
} | |
return insertInto(this).copy(color = B) | |
} | |
} |
fun toList(): List<E> = buildList {
fun doTree(tree: RedBlackTree<E>) {
when (tree) {
Empty -> return
is Tree -> {
doTree(tree.left)
add(tree.element)
doTree(tree.right)
}
}
}
doTree(this@RedBlackTree)
}
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I'm glad you like it, although I think this gist was created to show how much boilerplate you still need in Kotlin because there's no pattern matching like in OCaml (https://medium.com/@jerzy.chalupski/kotlin-the-missing-parts-67645d9a02f4)