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Add build scripts for C# and

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unify the coding style.
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krahets
2023-02-08 22:18:02 +08:00
parent 38751cc5f5
commit 6dc21691ed
63 changed files with 2703 additions and 3911 deletions
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84
docs/chapter_computational_complexity/space_complexity.md
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@@ -641,25 +641,7 @@ $$
=== "C#"
```csharp title="space_complexity.cs"
/* 常数阶 */
void constant(int n)
{
// 常量、变量、对象占用 O(1) 空间
int a = 0;
int b = 0;
int[] nums = new int[10000];
ListNode node = new ListNode(0);
// 循环中的变量占用 O(1) 空间
for (int i = 0; i < n; i++)
{
int c = 0;
}
// 循环中的函数占用 O(1) 空间
for (int i = 0; i < n; i++)
{
function();
}
}
[class]{space_complexity}-[func]{constant}
```
=== "Swift"
@@ -759,24 +741,7 @@ $$
=== "C#"
```csharp title="space_complexity.cs"
/* 线性阶 */
void linear(int n)
{
// 长度为 n 的数组占用 O(n) 空间
int[] nums = new int[n];
// 长度为 n 的列表占用 O(n) 空间
List<ListNode> nodes = new();
for (int i = 0; i < n; i++)
{
nodes.Add(new ListNode(i));
}
// 长度为 n 的哈希表占用 O(n) 空间
Dictionary<int, String> map = new();
for (int i = 0; i < n; i++)
{
map.Add(i, i.ToString());
}
}
[class]{space_complexity}-[func]{linear}
```
=== "Swift"
@@ -866,13 +831,7 @@ $$
=== "C#"
```csharp title="space_complexity.cs"
/* 线性阶（递归实现） */
void linearRecur(int n)
{
Console.WriteLine("递归 n = " + n);
if (n == 1) return;
linearRecur(n - 1);
}
[class]{space_complexity}-[func]{linearRecur}
```
=== "Swift"
@@ -952,23 +911,7 @@ $$
=== "C#"
```csharp title="space_complexity.cs"
/* 平方阶 */
void quadratic(int n)
{
// 矩阵占用 O(n^2) 空间
int[,] numMatrix = new int[n, n];
// 二维列表占用 O(n^2) 空间
List<List<int>> numList = new();
for (int i = 0; i < n; i++)
{
List<int> tmp = new();
for (int j = 0; j < n; j++)
{
tmp.Add(0);
}
numList.Add(tmp);
}
}
[class]{space_complexity}-[func]{quadratic}
```
=== "Swift"
@@ -1053,14 +996,7 @@ $$
=== "C#"
```csharp title="space_complexity.cs"
/* 平方阶（递归实现） */
int quadraticRecur(int n)
{
if (n <= 0) return 0;
// 数组 nums 长度为 n, n-1, ..., 2, 1
int[] nums = new int[n];
return quadraticRecur(n - 1);
}
[class]{space_complexity}-[func]{quadraticRecur}
```
=== "Swift"
@@ -1143,15 +1079,7 @@ $$
=== "C#"
```csharp title="space_complexity.cs"
/* 指数阶（建立满二叉树） */
TreeNode? buildTree(int n)
{
if (n == 0) return null;
TreeNode root = new TreeNode(0);
root.left = buildTree(n - 1);
root.right = buildTree(n - 1);
return root;
}
[class]{space_complexity}-[func]{buildTree}
```
=== "Swift"

38
docs/chapter_computational_complexity/space_time_tradeoff.md
View File

@@ -86,23 +86,7 @@ comments: true
=== "C#"
```csharp title="leetcode_two_sum.cs"
class SolutionBruteForce
{
public int[] twoSum(int[] nums, int target)
{
int size = nums.Length;
// 两层循环，时间复杂度 O(n^2)
for (int i = 0; i < size - 1; i++)
{
for (int j = i + 1; j < size; j++)
{
if (nums[i] + nums[j] == target)
return new int[] { i, j };
}
}
return new int[0];
}
}
[class]{leetcode_two_sum}-[func]{twoSumBruteForce}
```
=== "Swift"
@@ -195,25 +179,7 @@ comments: true
=== "C#"
```csharp title="leetcode_two_sum.cs"
class SolutionHashMap
{
public int[] twoSum(int[] nums, int target)
{
int size = nums.Length;
// 辅助哈希表，空间复杂度 O(n)
Dictionary<int, int> dic = new();
// 单层循环，时间复杂度 O(n)
for (int i = 0; i < size; i++)
{
if (dic.ContainsKey(target - nums[i]))
{
return new int[] { dic[target - nums[i]], i };
}
dic.Add(nums[i], i);
}
return new int[0];
}
}
[class]{leetcode_two_sum}-[func]{twoSumHashTable}
```
=== "Swift"

174
docs/chapter_computational_complexity/time_complexity.md
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@@ -854,15 +854,7 @@ $$
=== "C#"
```csharp title="time_complexity.cs"
/* 常数阶 */
int constant(int n)
{
int count = 0;
int size = 100000;
for (int i = 0; i < size; i++)
count++;
return count;
}
[class]{time_complexity}-[func]{constant}
```
=== "Swift"
@@ -950,14 +942,7 @@ $$
=== "C#"
```csharp title="time_complexity.cs"
/* 线性阶 */
int linear(int n)
{
int count = 0;
for (int i = 0; i < n; i++)
count++;
return count;
}
[class]{time_complexity}-[func]{linear}
```
=== "Swift"
@@ -1047,17 +1032,7 @@ $$
=== "C#"
```csharp title="time_complexity.cs"
/* 线性阶（遍历数组） */
int arrayTraversal(int[] nums)
{
int count = 0;
// 循环次数与数组长度成正比
foreach(int num in nums)
{
count++;
}
return count;
}
[class]{time_complexity}-[func]{arrayTraversal}
```
=== "Swift"
@@ -1149,20 +1124,7 @@ $$
=== "C#"
```csharp title="time_complexity.cs"
/* 平方阶 */
int quadratic(int n)
{
int count = 0;
// 循环次数与数组长度成平方关系
for (int i = 0; i < n; i++)
{
for (int j = 0; j < n; j++)
{
count++;
}
}
return count;
}
[class]{time_complexity}-[func]{quadratic}
```
=== "Swift"
@@ -1280,29 +1242,7 @@ $$
=== "C#"
```csharp title="time_complexity.cs"
/* 平方阶（冒泡排序） */
int bubbleSort(int[] nums)
{
int count = 0; // 计数器
// 外循环：待排序元素数量为 n-1, n-2, ..., 1
for (int i = nums.Length - 1; i > 0; i--)
{
// 内循环：冒泡操作
for (int j = 0; j < i; j++)
{
if (nums[j] > nums[j + 1])
{
// 交换 nums[j] 与 nums[j + 1]
int tmp = nums[j];
nums[j] = nums[j + 1];
nums[j + 1] = tmp;
count += 3; // 元素交换包含 3 个单元操作
}
}
}
return count;
}
[class]{time_complexity}-[func]{bubbleSort}
```
=== "Swift"
@@ -1414,22 +1354,7 @@ $$
=== "C#"
```csharp title="time_complexity.cs"
/* 指数阶（循环实现） */
int exponential(int n)
{
int count = 0, bas = 1;
// cell 每轮一分为二，形成数列 1, 2, 4, 8, ..., 2^(n-1)
for (int i = 0; i < n; i++)
{
for (int j = 0; j < bas; j++)
{
count++;
}
bas *= 2;
}
// count = 1 + 2 + 4 + 8 + .. + 2^(n-1) = 2^n - 1
return count;
}
[class]{time_complexity}-[func]{exponential}
```
=== "Swift"
@@ -1520,12 +1445,7 @@ $$
=== "C#"
```csharp title="time_complexity.cs"
/* 指数阶（递归实现） */
int expRecur(int n)
{
if (n == 1) return 1;
return expRecur(n - 1) + expRecur(n - 1) + 1;
}
[class]{time_complexity}-[func]{expRecur}
```
=== "Swift"
@@ -1613,17 +1533,7 @@ $$
=== "C#"
```csharp title="time_complexity.cs"
/* 对数阶（循环实现） */
int logarithmic(float n)
{
int count = 0;
while (n > 1)
{
n = n / 2;
count++;
}
return count;
}
[class]{time_complexity}-[func]{logarithmic}
```
=== "Swift"
@@ -1710,12 +1620,7 @@ $$
=== "C#"
```csharp title="time_complexity.cs"
/* 对数阶（递归实现） */
int logRecur(float n)
{
if (n <= 1) return 0;
return logRecur(n / 2) + 1;
}
[class]{time_complexity}-[func]{logRecur}
```
=== "Swift"
@@ -1806,18 +1711,7 @@ $$
=== "C#"
```csharp title="time_complexity.cs"
/* 线性对数阶 */
int linearLogRecur(float n)
{
if (n <= 1) return 1;
int count = linearLogRecur(n / 2) +
linearLogRecur(n / 2);
for (int i = 0; i < n; i++)
{
count++;
}
return count;
}
[class]{time_complexity}-[func]{linearLogRecur}
```
=== "Swift"
@@ -1921,18 +1815,7 @@ $$
=== "C#"
```csharp title="time_complexity.cs"
/* 阶乘阶（递归实现） */
int factorialRecur(int n)
{
if (n == 0) return 1;
int count = 0;
// 从 1 个分裂出 n 个
for (int i = 0; i < n; i++)
{
count += factorialRecur(n - 1);
}
return count;
}
[class]{time_complexity}-[func]{factorialRecur}
```
=== "Swift"
@@ -2146,40 +2029,9 @@ $$
=== "C#"
```csharp title="worst_best_time_complexity.cs"
/* 生成一个数组，元素为 { 1, 2, ..., n }，顺序被打乱 */
int[] randomNumbers(int n)
{
int[] nums = new int[n];
// 生成数组 nums = { 1, 2, 3, ..., n }
for (int i = 0; i < n; i++)
{
nums[i] = i + 1;
}
[class]{worst_best_time_complexity}-[func]{randomNumbers}
// 随机打乱数组元素
for (int i = 0; i < nums.Length; i++)
{
var index = new Random().Next(i, nums.Length);
var tmp = nums[i];
var ran = nums[index];
nums[i] = ran;
nums[index] = tmp;
}
return nums;
}
/* 查找数组 nums 中数字 1 所在索引 */
int findOne(int[] nums)
{
for (int i = 0; i < nums.Length; i++)
{
// 当元素 1 在数组头部时，达到最佳时间复杂度 O(1)
// 当元素 1 在数组尾部时，达到最差时间复杂度 O(n)
if (nums[i] == 1)
return i;
}
return -1;
}
[class]{worst_best_time_complexity}-[func]{findOne}
```
=== "Swift"