Reformat the C# codes.

Disable creating new line before open brace.
This commit is contained in:
krahets
2023-04-23 03:03:12 +08:00
parent ac6eece4f3
commit 73dcb4cea9
49 changed files with 561 additions and 1135 deletions

View File

@@ -9,25 +9,21 @@ using NUnit.Framework;
namespace hello_algo.chapter_tree;
class BinarySearchTree
{
class BinarySearchTree {
TreeNode? root;
public BinarySearchTree(int[] nums)
{
public BinarySearchTree(int[] nums) {
Array.Sort(nums); // 排序数组
root = buildTree(nums, 0, nums.Length - 1); // 构建二叉搜索树
}
/* 获取二叉树根节点 */
public TreeNode? getRoot()
{
public TreeNode? getRoot() {
return root;
}
/* 构建二叉搜索树 */
public TreeNode? buildTree(int[] nums, int i, int j)
{
public TreeNode? buildTree(int[] nums, int i, int j) {
if (i > j) return null;
// 将数组中间节点作为根节点
int mid = (i + j) / 2;
@@ -39,12 +35,10 @@ class BinarySearchTree
}
/* 查找节点 */
public TreeNode? search(int num)
{
public TreeNode? search(int num) {
TreeNode? cur = root;
// 循环查找,越过叶节点后跳出
while (cur != null)
{
while (cur != null) {
// 目标节点在 cur 的右子树中
if (cur.val < num) cur = cur.right;
// 目标节点在 cur 的左子树中
@@ -57,14 +51,12 @@ class BinarySearchTree
}
/* 插入节点 */
public void insert(int num)
{
public void insert(int num) {
// 若树为空,直接提前返回
if (root == null) return;
TreeNode? cur = root, pre = null;
// 循环查找,越过叶节点后跳出
while (cur != null)
{
while (cur != null) {
// 找到重复节点,直接返回
if (cur.val == num) return;
pre = cur;
@@ -76,8 +68,7 @@ class BinarySearchTree
// 插入节点 val
TreeNode node = new TreeNode(num);
if (pre != null)
{
if (pre != null) {
if (pre.val < num) pre.right = node;
else pre.left = node;
}
@@ -85,14 +76,12 @@ class BinarySearchTree
/* 删除节点 */
public void remove(int num)
{
public void remove(int num) {
// 若树为空,直接提前返回
if (root == null) return;
TreeNode? cur = root, pre = null;
// 循环查找,越过叶节点后跳出
while (cur != null)
{
while (cur != null) {
// 找到待删除节点,跳出循环
if (cur.val == num) break;
pre = cur;
@@ -104,27 +93,21 @@ class BinarySearchTree
// 若无待删除节点,则直接返回
if (cur == null || pre == null) return;
// 子节点数量 = 0 or 1
if (cur.left == null || cur.right == null)
{
if (cur.left == null || cur.right == null) {
// 当子节点数量 = 0 / 1 时, child = null / 该子节点
TreeNode? child = cur.left != null ? cur.left : cur.right;
// 删除节点 cur
if (pre.left == cur)
{
if (pre.left == cur) {
pre.left = child;
}
else
{
} else {
pre.right = child;
}
}
// 子节点数量 = 2
else
{
else {
// 获取中序遍历中 cur 的下一个节点
TreeNode? tmp = cur.right;
while (tmp.left != null)
{
while (tmp.left != null) {
tmp = tmp.left;
}
// 递归删除节点 tmp
@@ -135,11 +118,9 @@ class BinarySearchTree
}
}
public class binary_search_tree
{
public class binary_search_tree {
[Test]
public void Test()
{
public void Test() {
/* 初始化二叉搜索树 */
int[] nums = { 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15 };
BinarySearchTree bst = new BinarySearchTree(nums);