feat: add solutions to lc problem: No.1857

solution/1800-1899/1857.Largest Color Value in a Directed Graph/README.md

@@ -72,9 +72,17 @@ tags:
 
 ### 方法一：拓扑排序 + 动态规划
 
-求出每个点的入度，进行拓扑排序。每个点维护一个长度为 $26$ 的数组，记录每个字母从任意起点到当前点的出现次数。
+求出每个点的入度，进行拓扑排序。
 
-时间复杂度 $O(n+m)$，空间复杂度 $O(n+m)$。
+定义一个二维数组 $dp$，其中 $dp[i][j]$ 表示从起点到 $i$ 点，颜色为 $j$ 的节点数目。
+
+从 $i$ 点出发，遍历所有出边 $i \to j$，更新 $dp[j][k] = \max(dp[j][k], dp[i][k] + (c == k))$，其中 $c$ 是 $j$ 点的颜色。
+
+答案为数组 $dp$ 中的最大值。
+
+如果图中有环，则无法遍历完所有点，返回 $-1$。
+
+时间复杂度 $O((n + m) \times |\Sigma|)$，空间复杂度 $O(m + n \times |\Sigma)$。其中 $|\Sigma|$ 是字母表大小，这里为 $26$，而且 $n$ 和 $m$ 分别是节点数和边数。
 
 <!-- tabs:start -->
 
@@ -252,6 +260,48 @@ func largestPathValue(colors string, edges [][]int) int {
 }
 ```
 
+#### TypeScript
+
+```ts
+function largestPathValue(colors: string, edges: number[][]): number {
+    const n = colors.length;
+    const indeg = Array(n).fill(0);
+    const g: Map<number, number[]> = new Map();
+    for (const [a, b] of edges) {
+        if (!g.has(a)) g.set(a, []);
+        g.get(a)!.push(b);
+        indeg[b]++;
+    }
+    const q: number[] = [];
+    const dp: number[][] = Array.from({ length: n }, () => Array(26).fill(0));
+    for (let i = 0; i < n; i++) {
+        if (indeg[i] === 0) {
+            q.push(i);
+            const c = colors.charCodeAt(i) - 97;
+            dp[i][c]++;
+        }
+    }
+    let cnt = 0;
+    let ans = 1;
+    while (q.length) {
+        const i = q.pop()!;
+        cnt++;
+        if (g.has(i)) {
+            for (const j of g.get(i)!) {
+                indeg[j]--;
+                if (indeg[j] === 0) q.push(j);
+                const c = colors.charCodeAt(j) - 97;
+                for (let k = 0; k < 26; k++) {
+                    dp[j][k] = Math.max(dp[j][k], dp[i][k] + (c === k ? 1 : 0));
+                    ans = Math.max(ans, dp[j][k]);
+                }
+            }
+        }
+    }
+    return cnt < n ? -1 : ans;
+}
+```
+
 <!-- tabs:end -->
 
 <!-- solution:end -->

solution/1800-1899/1857.Largest Color Value in a Directed Graph/README_EN.md

@@ -87,7 +87,19 @@ tags:
 
 <!-- solution:start -->
 
-### Solution 1
+### Solution 1: Topological Sort + Dynamic Programming
+
+Calculate the in-degree of each node and perform a topological sort.
+
+Define a 2D array $dp$, where $dp[i][j]$ represents the number of nodes with color $j$ on the path from the start node to node $i$.
+
+From node $i$, traverse all outgoing edges $i \to j$, and update $dp[j][k] = \max(dp[j][k], dp[i][k] + (c == k))$, where $c$ is the color of node $j$.
+
+The answer is the maximum value in the $dp$ array.
+
+If there is a cycle in the graph, it is impossible to visit all nodes, so return $-1$.
+
+The time complexity is $O((n + m) \times |\Sigma|)$, and the space complexity is $O(m + n \times |\Sigma|)$. Here, $|\Sigma|$ is the size of the alphabet (26 in this case), and $n$ and $m$ are the number of nodes and edges, respectively.
 
 <!-- tabs:start -->
 
@@ -265,6 +277,48 @@ func largestPathValue(colors string, edges [][]int) int {
 }
 ```
 
+#### TypeScript
+
+```ts
+function largestPathValue(colors: string, edges: number[][]): number {
+    const n = colors.length;
+    const indeg = Array(n).fill(0);
+    const g: Map<number, number[]> = new Map();
+    for (const [a, b] of edges) {
+        if (!g.has(a)) g.set(a, []);
+        g.get(a)!.push(b);
+        indeg[b]++;
+    }
+    const q: number[] = [];
+    const dp: number[][] = Array.from({ length: n }, () => Array(26).fill(0));
+    for (let i = 0; i < n; i++) {
+        if (indeg[i] === 0) {
+            q.push(i);
+            const c = colors.charCodeAt(i) - 97;
+            dp[i][c]++;
+        }
+    }
+    let cnt = 0;
+    let ans = 1;
+    while (q.length) {
+        const i = q.pop()!;
+        cnt++;
+        if (g.has(i)) {
+            for (const j of g.get(i)!) {
+                indeg[j]--;
+                if (indeg[j] === 0) q.push(j);
+                const c = colors.charCodeAt(j) - 97;
+                for (let k = 0; k < 26; k++) {
+                    dp[j][k] = Math.max(dp[j][k], dp[i][k] + (c === k ? 1 : 0));
+                    ans = Math.max(ans, dp[j][k]);
+                }
+            }
+        }
+    }
+    return cnt < n ? -1 : ans;
+}
+```
+
 <!-- tabs:end -->
 
 <!-- solution:end -->

solution/1800-1899/1857.Largest Color Value in a Directed Graph/Solution.ts

@@ -0,0 +1,37 @@
+function largestPathValue(colors: string, edges: number[][]): number {
+    const n = colors.length;
+    const indeg = Array(n).fill(0);
+    const g: Map<number, number[]> = new Map();
+    for (const [a, b] of edges) {
+        if (!g.has(a)) g.set(a, []);
+        g.get(a)!.push(b);
+        indeg[b]++;
+    }
+    const q: number[] = [];
+    const dp: number[][] = Array.from({ length: n }, () => Array(26).fill(0));
+    for (let i = 0; i < n; i++) {
+        if (indeg[i] === 0) {
+            q.push(i);
+            const c = colors.charCodeAt(i) - 97;
+            dp[i][c]++;
+        }
+    }
+    let cnt = 0;
+    let ans = 1;
+    while (q.length) {
+        const i = q.pop()!;
+        cnt++;
+        if (g.has(i)) {
+            for (const j of g.get(i)!) {
+                indeg[j]--;
+                if (indeg[j] === 0) q.push(j);
+                const c = colors.charCodeAt(j) - 97;
+                for (let k = 0; k < 26; k++) {
+                    dp[j][k] = Math.max(dp[j][k], dp[i][k] + (c === k ? 1 : 0));
+                    ans = Math.max(ans, dp[j][k]);
+                }
+            }
+        }
+    }
+    return cnt < n ? -1 : ans;
+}