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BinaryTree.kt
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BinaryTree.kt
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package structures
import java.util.LinkedList
/**
*
* Binary tree consists of nodes each of which has a maximum of two children.
*
* Child nodes satisfy the following requirements:
*
* - the left child is less than the parent
* - right child is larger than parent
*
* Hint: the worst time may be O(n) because the situation is possible when the elements follow each other 1,2,3,4...
* and the tree takes the following form:
*
* 1
* \
* 2
* \
* 3
* \
* 4
*
*/
class BinaryTree<T : Comparable<T>> {
private var root: Node<T>? = null
val isEmpty: Boolean
get() = root == null
/**
* Complexity:
* worst time: O(n), read the hint in the description
* best time: O(log(n))
* average time: O(log(n))
*/
fun add(value: T) {
fun addRecursive(current: Node<T>?, value: T): Node<T> {
if (current == null) {
return Node(value)
}
if (value < current.value()) {
current.changeLeft(addRecursive(current.leftNode(), value))
} else if (value > current.value()) {
current.changeRight(addRecursive(current.rightNode(), value))
}
return current
}
root = addRecursive(root, value)
}
/**
* Complexity:
* worst time: O(n), read the hint in the description
* best time: O(1)
* average time: O(log(n))
*/
fun remove(value: T) {
fun smallestValue(root: Node<T>): T {
val leftNode = root.leftNode()
if (leftNode === null) return root.value()
return smallestValue(leftNode)
}
fun removeRecursive(current: Node<T>?, value: T): Node<T>? {
if (current == null) {
return null
}
if (value == current.value()) {
if (current.leftNode() == null && current.rightNode() == null) {
return null
}
if (current.leftNode() == null) {
return current.rightNode()
}
if (current.rightNode() == null) {
return current.leftNode()
}
val smallestValue = smallestValue(current.rightNode()!!)
current.changeValue(smallestValue)
current.changeRight(removeRecursive(current.rightNode(), smallestValue))
return current
}
if (value < current.value()) {
current.changeLeft(removeRecursive(current.leftNode(), value))
} else {
current.changeRight(removeRecursive(current.rightNode(), value))
}
return current
}
root = removeRecursive(root, value)
}
/**
* Complexity:
* worst time: O(n), read the hint in the description
* best time: O(1)
* average time: O(log(n))
*/
fun contains(value: T): Boolean {
fun containsRecursive(current: Node<T>?, value: T): Boolean {
if (current == null) {
return false
}
if (value == current.value()) {
return true
}
return if (value < current.value()) {
containsRecursive(current.leftNode(), value)
} else {
containsRecursive(current.rightNode(), value)
}
}
return containsRecursive(root, value)
}
/**
*
* Traversal of the binary tree in depth
*
* order: the left child, the parent, the right child
*
*/
fun traverseInOrder(): List<T> {
fun traverseInOrderRecursive(node: Node<T>?, nodes: MutableList<T>) {
if (node != null) {
traverseInOrderRecursive(node.leftNode(), nodes)
nodes.add(node.value())
traverseInOrderRecursive(node.rightNode(), nodes)
}
}
val nodes = mutableListOf<T>()
traverseInOrderRecursive(root, nodes)
return nodes
}
/**
*
* Traversal of the binary tree in depth
*
* order: the parent, the left child, the right child
*
*/
fun traversePreOrder(): List<T> {
fun traversePreOrderRecursive(node: Node<T>?, nodes: MutableList<T>) {
if (node != null) {
nodes.add(node.value())
traversePreOrderRecursive(node.leftNode(), nodes)
traversePreOrderRecursive(node.rightNode(), nodes)
}
}
val nodes = mutableListOf<T>()
traversePreOrderRecursive(root, nodes)
return nodes
}
/**
*
* Traversal of the binary tree in depth
*
* order: the left child, the right child, the parent
*
*/
fun traversePostOrder(): List<T> {
fun traversePostOrderRec(node: Node<T>?, nodes: MutableList<T>) {
if (node != null) {
traversePostOrderRec(node.leftNode(), nodes)
traversePostOrderRec(node.rightNode(), nodes)
nodes.add(node.value())
}
}
val nodes = mutableListOf<T>()
traversePostOrderRec(root, nodes)
return nodes
}
/**
*
* Traversal of the binary tree in breadth uses an additional data structure - a queue into which new tree
*
* nodes are added until the last node is added
*
*/
fun traverseLevelOrder(): List<T> {
val current = root ?: return emptyList()
val queue = LinkedList<Node<T>>()
queue.add(current)
val nodeValues = mutableListOf<T>()
while (queue.isNotEmpty()) {
val node = queue.removeFirst()
nodeValues.add(node.value())
val leftNode = node.leftNode()
if (leftNode != null) {
queue.add(leftNode)
}
val rightNode = node.rightNode()
if (rightNode != null) {
queue.add(rightNode)
}
}
return nodeValues
}
class Node<T>(
private var value: T,
private var left: Node<T>? = null,
private var right: Node<T>? = null
) {
fun value() = value
fun changeValue(newValue: T) {
value = newValue
}
fun leftNode() = left
fun changeLeft(node: Node<T>?) {
left = node
}
fun rightNode() = right
fun changeRight(node: Node<T>?) {
right = node
}
}
}