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feat: add BSTree which is binary search tree
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51
datastructure/tree/bstree.go
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51
datastructure/tree/bstree.go
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@@ -0,0 +1,51 @@
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package datastructure
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import (
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"math"
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"github.com/duke-git/lancet/datastructure"
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"github.com/duke-git/lancet/lancetconstraints"
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)
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// BSTree is a binary search tree data structure in which each node has at most two children,
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// which are referred to as the left child and the right child.
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// In BSTree: leftNode < rootNode < rightNode
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// type T should implments Compare function of lancetconstraints.Comparator interface
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type BSTree[T any] struct {
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root *datastructure.TreeNode[T]
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}
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// NewBSTree create a BSTree pointer
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func NewBSTree[T any](rootData T) *BSTree[T] {
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root := datastructure.NewTreeNode(rootData)
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return &BSTree[T]{root}
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}
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// Insert data into BSTree
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func (t *BSTree[T]) Insert(data T, comparator lancetconstraints.Comparator) {
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root := t.root
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newNode := datastructure.NewTreeNode(data)
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if root == nil {
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t.root = newNode
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} else {
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insertTreeNode(root, newNode, comparator)
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}
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}
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// NodeLevel get node level in BSTree
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func (t *BSTree[T]) NodeLevel(node *datastructure.TreeNode[T]) int {
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if node == nil {
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return 0
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}
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left := float64(t.NodeLevel(node.Left))
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right := float64(t.NodeLevel(node.Right))
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return int(math.Max(left, right)) + 1
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}
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// Print the bstree structure
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func (t *BSTree[T]) Print() {
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maxLevel := t.NodeLevel(t.root)
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nodes := []*datastructure.TreeNode[T]{t.root}
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printTreeNodes(nodes, 1, maxLevel)
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}
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