feat(csharp) .NET 8.0 code migration (#966)

* .net 8.0 migration

* update docs

* revert change

* revert change and update appendix docs

* remove static

* Update binary_search_insertion.cs

* Update binary_search_insertion.cs

* Update binary_search_edge.cs

* Update binary_search_insertion.cs

* Update binary_search_edge.cs

---------

Co-authored-by: Yudong Jin <krahets@163.com>
This commit is contained in:
hpstory
2023-11-26 23:18:44 +08:00
committed by GitHub
parent d960c99a1f
commit 56b20eff36
93 changed files with 539 additions and 487 deletions

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@@ -13,7 +13,7 @@ public class GraphAdjList {
/* 构造函数 */
public GraphAdjList(Vertex[][] edges) {
this.adjList = new Dictionary<Vertex, List<Vertex>>();
adjList = [];
// 添加所有顶点和边
foreach (Vertex[] edge in edges) {
AddVertex(edge[0]);
@@ -23,7 +23,7 @@ public class GraphAdjList {
}
/* 获取顶点数量 */
public int Size() {
int Size() {
return adjList.Count;
}
@@ -50,7 +50,7 @@ public class GraphAdjList {
if (adjList.ContainsKey(vet))
return;
// 在邻接表中添加一个新链表
adjList.Add(vet, new List<Vertex>());
adjList.Add(vet, []);
}
/* 删除顶点 */
@@ -69,7 +69,7 @@ public class GraphAdjList {
public void Print() {
Console.WriteLine("邻接表 =");
foreach (KeyValuePair<Vertex, List<Vertex>> pair in adjList) {
List<int> tmp = new();
List<int> tmp = [];
foreach (Vertex vertex in pair.Value)
tmp.Add(vertex.val);
Console.WriteLine(pair.Key.val + ": [" + string.Join(", ", tmp) + "],");
@@ -81,10 +81,16 @@ public class graph_adjacency_list {
[Test]
public void Test() {
/* 初始化无向图 */
Vertex[] v = Vertex.ValsToVets(new int[] { 1, 3, 2, 5, 4 });
Vertex[][] edges = new Vertex[][] { new Vertex[] { v[0], v[1] }, new Vertex[] { v[0], v[3] },
new Vertex[] { v[1], v[2] }, new Vertex[] { v[2], v[3] },
new Vertex[] { v[2], v[4] }, new Vertex[] { v[3], v[4] } };
Vertex[] v = Vertex.ValsToVets([1, 3, 2, 5, 4]);
Vertex[][] edges =
[
[v[0], v[1]],
[v[0], v[3]],
[v[1], v[2]],
[v[2], v[3]],
[v[2], v[4]],
[v[3], v[4]]
];
GraphAdjList graph = new(edges);
Console.WriteLine("\n初始化后图为");
graph.Print();

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@@ -8,13 +8,13 @@ namespace hello_algo.chapter_graph;
/* 基于邻接矩阵实现的无向图类 */
class GraphAdjMat {
readonly List<int> vertices; // 顶点列表,元素代表“顶点值”,索引代表“顶点索引”
readonly List<List<int>> adjMat; // 邻接矩阵,行列索引对应“顶点索引”
List<int> vertices; // 顶点列表,元素代表“顶点值”,索引代表“顶点索引”
List<List<int>> adjMat; // 邻接矩阵,行列索引对应“顶点索引”
/* 构造函数 */
public GraphAdjMat(int[] vertices, int[][] edges) {
this.vertices = new List<int>();
this.adjMat = new List<List<int>>();
this.vertices = [];
this.adjMat = [];
// 添加顶点
foreach (int val in vertices) {
AddVertex(val);
@@ -27,7 +27,7 @@ class GraphAdjMat {
}
/* 获取顶点数量 */
public int Size() {
int Size() {
return vertices.Count;
}
@@ -97,10 +97,16 @@ public class graph_adjacency_matrix {
public void Test() {
/* 初始化无向图 */
// 请注意edges 元素代表顶点索引,即对应 vertices 元素索引
int[] vertices = { 1, 3, 2, 5, 4 };
int[][] edges = new int[][] { new int[] { 0, 1 }, new int[] { 0, 3 },
new int[] { 1, 2 }, new int[] { 2, 3 },
new int[] { 2, 4 }, new int[] { 3, 4 } };
int[] vertices = [1, 3, 2, 5, 4];
int[][] edges =
[
[0, 1],
[0, 3],
[1, 2],
[2, 3],
[2, 4],
[3, 4]
];
GraphAdjMat graph = new(vertices, edges);
Console.WriteLine("\n初始化后图为");
graph.Print();

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@@ -9,11 +9,11 @@ namespace hello_algo.chapter_graph;
public class graph_bfs {
/* 广度优先遍历 BFS */
// 使用邻接表来表示图,以便获取指定顶点的所有邻接顶点
public static List<Vertex> GraphBFS(GraphAdjList graph, Vertex startVet) {
List<Vertex> GraphBFS(GraphAdjList graph, Vertex startVet) {
// 顶点遍历序列
List<Vertex> res = new();
List<Vertex> res = [];
// 哈希表,用于记录已被访问过的顶点
HashSet<Vertex> visited = new() { startVet };
HashSet<Vertex> visited = [startVet];
// 队列用于实现 BFS
Queue<Vertex> que = new();
que.Enqueue(startVet);
@@ -37,14 +37,14 @@ public class graph_bfs {
[Test]
public void Test() {
/* 初始化无向图 */
Vertex[] v = Vertex.ValsToVets(new int[10] { 0, 1, 2, 3, 4, 5, 6, 7, 8, 9 });
Vertex[][] edges = new Vertex[12][]
{
new Vertex[2] { v[0], v[1] }, new Vertex[2] { v[0], v[3] }, new Vertex[2] { v[1], v[2] },
new Vertex[2] { v[1], v[4] }, new Vertex[2] { v[2], v[5] }, new Vertex[2] { v[3], v[4] },
new Vertex[2] { v[3], v[6] }, new Vertex[2] { v[4], v[5] }, new Vertex[2] { v[4], v[7] },
new Vertex[2] { v[5], v[8] }, new Vertex[2] { v[6], v[7] }, new Vertex[2] { v[7], v[8] }
};
Vertex[] v = Vertex.ValsToVets([0, 1, 2, 3, 4, 5, 6, 7, 8, 9]);
Vertex[][] edges =
[
[v[0], v[1]], [v[0], v[3]], [v[1], v[2]],
[v[1], v[4]], [v[2], v[5]], [v[3], v[4]],
[v[3], v[6]], [v[4], v[5]], [v[4], v[7]],
[v[5], v[8]], [v[6], v[7]], [v[7], v[8]]
];
GraphAdjList graph = new(edges);
Console.WriteLine("\n初始化后图为");

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@@ -8,7 +8,7 @@ namespace hello_algo.chapter_graph;
public class graph_dfs {
/* 深度优先遍历 DFS 辅助函数 */
public void DFS(GraphAdjList graph, HashSet<Vertex> visited, List<Vertex> res, Vertex vet) {
void DFS(GraphAdjList graph, HashSet<Vertex> visited, List<Vertex> res, Vertex vet) {
res.Add(vet); // 记录访问顶点
visited.Add(vet); // 标记该顶点已被访问
// 遍历该顶点的所有邻接顶点
@@ -23,11 +23,11 @@ public class graph_dfs {
/* 深度优先遍历 DFS */
// 使用邻接表来表示图,以便获取指定顶点的所有邻接顶点
public List<Vertex> GraphDFS(GraphAdjList graph, Vertex startVet) {
List<Vertex> GraphDFS(GraphAdjList graph, Vertex startVet) {
// 顶点遍历序列
List<Vertex> res = new();
List<Vertex> res = [];
// 哈希表,用于记录已被访问过的顶点
HashSet<Vertex> visited = new();
HashSet<Vertex> visited = [];
DFS(graph, visited, res, startVet);
return res;
}
@@ -35,12 +35,12 @@ public class graph_dfs {
[Test]
public void Test() {
/* 初始化无向图 */
Vertex[] v = Vertex.ValsToVets(new int[7] { 0, 1, 2, 3, 4, 5, 6 });
Vertex[][] edges = new Vertex[6][]
{
new Vertex[2] { v[0], v[1] }, new Vertex[2] { v[0], v[3] }, new Vertex[2] { v[1], v[2] },
new Vertex[2] { v[2], v[5] }, new Vertex[2] { v[4], v[5] }, new Vertex[2] { v[5], v[6] },
};
Vertex[] v = Vertex.ValsToVets([0, 1, 2, 3, 4, 5, 6]);
Vertex[][] edges =
[
[v[0], v[1]], [v[0], v[3]], [v[1], v[2]],
[v[2], v[5]], [v[4], v[5]], [v[5], v[6]],
];
GraphAdjList graph = new(edges);
Console.WriteLine("\n初始化后图为");