Here is the **full question rewritten cleanly in t...

Creado el: 14 de enero de 2026

Respondido usando GPT-5.2 Thinking por Chat01

Pregunta

Here is the full question rewritten cleanly in text, exactly matching what’s shown in the screenshots, without adding or changing logic.


Database Configuration

A database team is migrating their system to a new cluster-based architecture.
You are asked to determine whether it is possible to create controller–worker configurations for each subtree in a network of databases.


Given

  • A tree with network_nodes nodes.

  • Two integer arrays:

    • network_from
    • network_to
      where each pair (network_from[i], network_to[i]) represents an edge between two nodes.

Configuration Rules

  • Each node must be paired with exactly one adjacent node.
  • Each node can be part of only one configuration.
  • Pairings are within the subtree only.

This means that the nodes of a subtree must be divided into disjoint adjacent pairs.


Task

For each node, determine whether a valid configuration is possible for the subtree rooted at that node.

Return a string consisting of characters '1' and '0' where:

  • '1' means a valid configuration is possible
  • '0' means a valid configuration is not possible

The i-th character of the string corresponds to node i.


Definition of Subtree

A subtree for a given node x (in a rooted tree) is defined as:

  • Node x itself
  • All nodes that are descendants of x

Node x is a descendant of node y if there is a path from x to the root that passes through y.


Example 1

Input

text
network_nodes = 4 network_from = [3, 2, 1] network_to = [4, 4, 2]

Tree Structure

text
1 | 2 | 4 / 3

Output

1001

Explanation

  • Subtree rooted at node 1: valid pairing exists → 1
  • Subtree rooted at node 2: no valid pairing → 0
  • Subtree rooted at node 3: no valid pairing → 0
  • Subtree rooted at node 4: valid pairing exists → 1

Function Description

Complete the function:

text
string isColoringPossible( int network_nodes, vector<int> network_from, vector<int> network_to )

Returns

  • A string of length network_nodes
  • Each character is '1' or '0'

Constraints

  • 2 ≤ network_nodes ≤ 3 × 10^5
  • 1 ≤ network_from[i], network_to[i] ≤ network_nodes
  • The graph is a tree (connected, acyclic)

c++ code correct

Python

python
def solve(n, fr, to): g=[[] for _ in range(n+1)] for a,b in zip(fr,to): g[a].append(b); g[b].append(a) parent=[0]*(n+1) children=[[] for _ in range(n+1)] order=[] st=[1] parent[1]=-1 while st: u=st.pop() order.append(u) for v in g[u]: if v==parent[u]: continue parent[v]=u children[u].append(v) st.append(v) dp0=[False]*(n+1) dp1=[False]*(n+1) for u in reversed(order): ch=children[u] if not ch: dp0[u]=True; dp1[u]=False continue k=len(ch) pref=[True]*(k+1) for i in range(k): pref[i+1]=pref[i] and dp1[ch[i]] suf=[True]*(k+1) for i in range(k-1,-1,-1): suf[i]=suf[i+1] and dp1[ch[i]] dp0[u]=pref[k] ok=False for i in range(k): if dp0[ch[i]] and pref[i] and suf[i+1]: ok=True; break dp1[u]=ok return ''.join('1' if dp1[i] else '0' for i in range(1,n+1)) print(solve(4,[3,2,1],[4,4,2]))

Pensamiento

Crafting C++ code for the problem

I need to provide the full C++ solution, ensuring it works iteratively for large n. I’ll clarify the definitions of dp0 and dp1. Also, assuming the root is at node 1 (unless specified otherwise) will simplify the problem. The solution will have a time complexity of O(n), with efficient memory usage. Let’s get the code ready without relying on external tools.

Memory considerations for graph representation

I’m thinking about the constraints and memory usage for the graph representation with vector<vector<int>>. While it might seem a bit heavy, it’s within the typical 1GB limit. I’ll make sure to use reserve for each vector to optimize performance. If needed, we can calculate the degree array to manage memory more efficiently, but overall this approach should work well. Since we already have the children nodes, there's no need to over-complicate things.

Optimizing memory usage

I’m considering a more memory-efficient approach by only storing the parent and order during DFS, and dynamically creating a temporary children list during the DP transitions. This avoids creating a large children array for all nodes and reduces unnecessary memory usage. Though I’ll need to iterate over the adjacency list to build the children dynamically, this keeps things O(n). There’s a potential issue with repeated dynamic allocations, so I’ll have to keep that in mind while implementing.

Thought for 1m 51s

Respuesta

Below is an O(n) C++ solution (works for n ≤ 3e5) using a standard tree DP for perfect matching on every rooted subtree (root assumed to be node 1, matching the usual “subtree rooted at i” definition used in these problems and your example).

Key idea (tree DP)

Root the tree at 1. For each node u, compute:

  • dp0[u] = subtree of u can be perfectly paired except u is left unpaired (so u would need to pair with its parent outside the subtree).
  • dp1[u] = subtree of u can be perfectly paired and u is paired with exactly one of its children (fully paired inside the subtree).

For the answer for node u’s subtree (which does not include its parent), we need u paired inside the subtree, so output '1' iff dp1[u] is true.

Transitions:

  • dp0[u] is true iff all children c satisfy dp1[c] (each child must be fully matched internally).
  • dp1[u] is true iff there exists a child t such that:
    • dp0[t] is true (child t can be internally matched except itself, because it will match with u)
    • all other children c ≠ t satisfy dp1[c]

We compute the “all other children” condition efficiently with prefix/suffix AND in O(deg(u)).


✅ Correct C++ Code

cpp
#include <bits/stdc++.h> using namespace std; string isColoringPossible( int network_nodes, vector<int> network_from, vector<int> network_to ) { int n = network_nodes; int m = (int)network_from.size(); // Build adjacency with degree-based reserve (faster + fewer reallocs) vector<int> deg(n + 1, 0); for (int i = 0; i < m; i++) { deg[network_from[i]]++; deg[network_to[i]]++; } vector<vector<int>> adj(n + 1); for (int i = 1; i <= n; i++) adj[i].reserve(deg[i]); for (int i = 0; i < m; i++) { int a = network_from[i], b = network_to[i]; adj[a].push_back(b); adj[b].push_back(a); } // Root the tree at 1 vector<int> parent(n + 1, 0); vector<vector<int>> children(n + 1); for (int i = 1; i <= n; i++) children[i].reserve(deg[i]); vector<int> order; order.reserve(n); vector<int> st; st.reserve(n); st.push_back(1); parent[1] = -1; while (!st.empty()) { int u = st.back(); st.pop_back(); order.push_back(u); for (int v : adj[u]) { if (v == parent[u]) continue; parent[v] = u; children[u].push_back(v); st.push_back(v); } } // dp0[u]: subtree(u) matched except u is free // dp1[u]: subtree(u) fully matched and u matched with one child vector<char> dp0(n + 1, 0), dp1(n + 1, 0); // Postorder compute for (int idx = n - 1; idx >= 0; --idx) { int u = order[idx]; auto &ch = children[u]; int k = (int)ch.size(); if (k == 0) { dp0[u] = 1; // leaf can be "all matched except itself" dp1[u] = 0; // can't match inside (no child) continue; } // prefix/suffix AND of dp1 on children vector<char> pref(k + 1, 1), suf(k + 1, 1); for (int i = 0; i < k; i++) pref[i + 1] = (char)(pref[i] && dp1[ch[i]]); for (int i = k - 1; i >= 0; i--) suf[i] = (char)(suf[i + 1] && dp1[ch[i]]); // u is free => all children must be fully matched internally dp0[u] = pref[k]; // u matched to exactly one child t: // child t must be dp0[t] (t free internally), others must be dp1 char ok = 0; for (int i = 0; i < k; i++) { int t = ch[i]; if (dp0[t] && pref[i] && suf[i + 1]) { ok = 1; break; } } dp1[u] = ok; } // Answer for each node i: subtree rooted at i must match i internally => dp1[i] string ans; ans.reserve(n); for (int i = 1; i <= n; i++) { ans.push_back(dp1[i] ? '1' : '0'); } return ans; }

Complexity

  • Time: O(n)
  • Memory: O(n)

If you want, I can also provide a version that avoids storing children (slightly lower memory), but the above is already safe and fast for 3e5.

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