allcoding1

def GetAnswer(N, A, B, P): dp = [0] * (N + 1) max_d = 0 for i in range(N - 1, -1, -1): max_p = P[i] min_p = P[i] for j in range(1, B + 1): if i + j <= N: max_p = max(max_p, P[i + j - 1]) min_p = min(min_p, P[i + j - 1]) max_d = max(max_d, max_p - min_p) if i + 1 == N: dp[i] = max(dp[i], max_d) else: dp[i] = max(dp[i], max_d, dp[i + 1]) return dp[0] import sys input = sys.stdin.read data = input().split() N = int(data[0]) A = int(data[1]) B = int(data[2]) P = list(map(int, data[3:])) result = GetAnswer(N, A, B, P) print(result) // XOR formaating code

def main():     import sys     input = sys.stdin.read     data = input().split('\n')         S = data[0].strip()     N = int(data[1].strip())     W = []     for i in range(N):         W.append(data[2 + i].strip())         freqS = get_frequency(S)         count = 0     for w in W:         if is_valid_anagram_subsequence(freqS, w):             count += 1         print(count) def get_frequency(S):     freq = [0] * 26     for c in S:         freq[ord(c) - ord('a')] += 1     return freq def is_valid_anagram_subsequence(freqS, w):     freqW = [0] * 26     for c in w:         freqW[ord(c) - ord('a')] += 1         for i in range(26):         if freqW[i] > freqS[i]:             return False         return True if name == "main":     main() // MInimal subarray length

Maximum code are python

#include <iostream> #include <vector> #include <algorithm> using namespace std; void dfs(int node, int parent, const vector<vector<int>>& tree, const vector<int>& A, int depth, int& maxDepth) { maxDepth = max(maxDepth, depth); for (int child : tree[node]) { if (child != parent) { if ((A[node] ^ A[child]) < A[node] && (A[node] ^ A[child]) < A[child]) { dfs(child, node, tree, A, depth + 1, maxDepth); } } } } int main() { int N; cin >> N; vector<int> A(N + 1); vector<int> P(N + 1); vector<vector<int>> tree(N + 1); // Read values array for (int i = 1; i <= N; ++i) { cin >> A[i]; } // Read parent array and buildthe tree for (int i = 2; i <= N; ++i) { // P[1] is root with P[1] = 0, so start from 2 cin >> P[i]; tree[P[i]].push_back(i); tree[i].push_back(P[i]); } int maxDepth = 0; dfs(1, 0, tree, A, 1, maxDepth); cout << maxDepth << endl; return 0; }

#include <iostream> #include <vector> #include <algorithm> #include <cmath> using namespace std; const int MOD = 1000000007; int minLampsToLightRoad(int num_positions, int num_lamps, vector<int>& lamp_positions, vector<int>& left_reach, vector<int>& right_reach, vector<pair<int, int>>& queries) { // Step 1: Create intervals for each lamp vector<pair<int, int>> intervals; for (int i = 0; i < num_lamps; ++i) { intervals.push_back({lamp_positions[i] - left_reach[i], lamp_positions[i] + right_reach[i]}); } // Step 2: Sort intervals based on starting position sort(intervals.begin(), intervals.end()); // Precompute the farthest reach for each starting point vector<pair<int, int>> max_reach_from_start; int current_max_reach = -1; for (const auto& interval : intervals) { int start = interval.first; int end = interval.second; if (max_reach_from_start.empty() start > max_reach_from_start.back().first) { max_reach_from_start.push_back({start, end}); } current_max_reach = max(current_max_reach, end); max_reach_from_start.back().second = current_max_reach; } auto min_lamps_needed = [&](int query_left, int query_right) { int count = 0; int max_reach = query_left; while (max_reach <= query_right) { auto it = upper_bound(max_reach_from_start.begin(), max_reach_from_start.end(), make_pair(max_reach, INT_MAX)); if (it == max_reach_from_start.begin() prev(it)->first > max_reach) { return -1; } int next_max_reach = prev(it)->second; if (next_max_reach <= max_reach) { return -1; } max_reach = next_max_reach + 1; count++; if (max_reach > query_right) { break; } } return max_reach > query_right ? count : -1; }; // Step 3: Process each query and sum up the results int result_sum = 0; for (const auto& query : queries) { int result = min_lamps_needed(query.first, query.second); if (result != -1) { result_sum += result; result_sum %= MOD; } } return result_sum; } lightning lamp code , all cases are passing

#include <iostream> #include <vector> #include <unordered_map> #include <unordered_set> #include <queue> #include <algorithm> using namespace std; int maxTreeScore(int node_count, int edge_count, vector<pair<int, int>>& edges, vector<int>& colors) { // Step 1: Parse input and create adjacency list unordered_map<int, vector<int>> adjacency_list; for (const auto& edge : edges) { int start = edge.first; int end = edge.second; adjacency_list[start].push_back(end); adjacency_list[end].push_back(start); } // Step 2: Calculate depth of each node using BFS vector<int> node_depth(node_count + 1, -1); node_depth[1] = 0; queue<int> bfs_queue; bfs_queue.push(1); while (!bfs_queue.empty()) { int current_node = bfs_queue.front(); bfs_queue.pop(); int current_depth = node_depth[current_node]; for (int neighbor : adjacency_list[current_node]) { if (node_depth[neighbor] == -1) { // unvisited node_depth[neighbor] = current_depth + 1; bfs_queue.push(neighbor); } } } // Step 3: Group nodes by depth unordered_map<int, vector<int>> nodes_grouped_by_depth; for (int node = 1; node <= node_count; ++node) { nodes_grouped_by_depth[node_depth[node]].push_back(node); } // Step 4: Calculate distinct colors per depth unordered_map<int, int> distinct_colors_at_depth; for (const auto& pair : nodes_grouped_by_depth) { int depth = pair.first; const vector<int>& nodes = pair.second; unordered_set<int> unique_colors; for (int node : nodes) { unique_colors.insert(colors[node - 1]); } distinct_colors_at_depth[depth] = unique_colors.size(); } // Step 5: Dynamic programming to calculate max score int max_depth = max_element(nodes_grouped_by_depth.begin(), nodes_grouped_by_depth.end(), [](const auto& a, const auto& b) { return a.first < b.first; })->first; vector<int> dp_score(max_depth + 2, 0); for (int depth = max_depth; depth >= 0; --depth) { // Option 1: Move to the next depth without adding score dp_score[depth] = dp_score[depth + 1]; // Option 2: Add the distinct colors to score and move to depth depth + unique_colors_count if (distinct_colors_at_depth.find(depth) != distinct_colors_at_depth.end()) { int unique_colors_count = distinct_colors_at_depth[depth]; if (depth + unique_colors_count <= max_depth) { dp_score[depth] = max(dp_score[depth], dp_score[depth + unique_colors_count] + unique_colors_count); } else { dp_score[depth] = max(dp_score[depth], unique_colors_count); } } } return dp_score[0]; } diving in a tree , all test cases are passing

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Coins game

#include <iostream> #include <vector> #include <algorithm> using namespace std; void dfs(int node, int parent, const vector<vector<int>> &adj, const vector<int> &A, int length, int &maxLength) { maxLength = max(maxLength, length); for (int neighbor : adj[node]) { if (neighbor == parent) continue; if ((A[node] ^ A[neighbor]) < min(A[node], A[neighbor])) { dfs(neighbor, node, adj, A, length + 1, maxLength); } } } int main() { int N; cin >> N; vector<int> A(N), P(N); for (int i = 0; i < N; ++i) cin >> A[i]; for (int i = 1; i < N; ++i) cin >> P[i]; vector<vector<int>> adj(N); for (int i = 1; i < N; ++i) { int parent = P[i]; adj[parent].push_back(i); adj[i].push_back(parent); } int maxLength = 0; dfs(0, -1, adj, A, 1, maxLength); cout << maxLength << endl; return 0; } Nodes

Shortest string code in python Infosys

def get_answer(N, K, A, S): from collections import Counter def min_deletions_to_palindrome(piece): count = Counter(piece) odd_count = sum(1 for freq in count.values() if freq % 2 == 1) return max(0, odd_count - 1) start = 0 total_deletions = 0 for length in A: piece = S[start:start + length] total_deletions += min_deletions_to_palindrome(piece) start += length return total_deletions MINIMAL PALINDROME

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Lighting lamp

Dividing array

Python periodic strings

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XR Forming code in python

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Code are maximum are python

///find largest swuare linked in public static int findLargestSquareSize(int[][] samples) { if (samples == null || samples.length == 0) return 0; int n = samples.length; int maxSize = 0; int[][] dp = new int[n][n]; for (int i = 0; i < n; i++) { dp[i][0] = samples[i][0]; dp[0][i] = samples[0][i]; maxSize = Math.max(maxSize, dp[i][0]); maxSize = Math.max(maxSize, dp[0][i]); } for (int i = 1; i < n; i++) { for (int j = 1; j < n; j++) { if (samples[i][j] == 1) { dp[i][j] = Math.min(Math.min(dp[i-1][j], dp[i][j-1]), dp[i-1][j-1]) + 1; maxSize = Math.max(maxSize, dp[i][j]); } else { dp[i][j] = 0; } } } return maxSize; }