简体中文
Telegram

帖子def solve(A, N, M, L, x):

2024年8月7日
M
Machine Learning coder
def solve(A, N, M, L, x): B = A[:] op = 0 for i in range(N): if B[i] > x: dec = B[i] - x length = min(L, N - i) for j in range(length): B[i + j] -= dec op += dec if op > M: return False return True def minimize_max_element(A, N, M, L): low = min(A) high = max(A) while low < high: mid = low + (high - low) // 2 if solve(A, N, M, L, mid): high = mid else: low = mid + 1 return low Array and queries ✅ #Google
1 · 1.4K ·

信息流中的邻近内容

MMachine Learning coderimport heapq def get_greatest_elements(arr, k): n = len(arr) result = [] min_heap = [] for i in range(n): heapq.heappush(min_heap, arr[i]) if len(min_heap) > k:MMachine Learning coderdef collect_max(mat): n = len(mat) if n == 0: return 0 dp = [[[ -1 for _ in range(2)] for _ in range(n)] for _ in range(n)] dp[0][0][1] = 1 if mat[0][0] == 1 el
这条消息
MMachine Learning coderdef findMinChanges(taskDependency): n = len(taskDependency) changes = 0 final_task = -1 for i in range(n): if taskDependency[i] == i + 1: final_task = i + 1MMachine Learning coderdef find(parent, u): if parent[u] != u: parent[u] = find(parent, parent[u]) return parent[u] def unite(parent, rank, u, v): root_u = find(parent, u) root_v = fi

来自搜索索引的公开信息流 ChatCrawler ——“公开 Telegram 的 Google”;随着该社群被抓取而更新。 时间为 UTC。

仅限公开内容,使用 Telegram 官方 API。 关于 · 常见问题 · 索引限制 · 移除页面 · 目录 · 搜索 · 计算方法