Approach
Sorting and greedy selection
For ABC440 D — Forbidden List 2, the implementation first exposes a useful order, then scans that order while making locally justified choices.
- Choose the key that reveals the greedy or grouping structure.
- Sort the relevant records by that key.
- Scan in order, maintaining the invariant that makes each local choice safe.
Code notes
- 53 lines of Python from the credited upstream file abc440_d.py.
- The implementation visibly relies on sequence storage, ordered lookup.
- No explicit loop blocks detected.
Complexity
Sorting is typically the dominant term unless the subsequent scan uses a more expensive nested operation.
Check the problem constraints before deciding whether this complexity will pass.
Use this to learn the idea, then write your own version.
12 3 4from bisect import bisect_right5from typing import Tuple, List6 7 8def bisect_le(sorted_array: List[int], value: int) -> Tuple[int, int]:9 """Find the largest element <= value and its index, or (-1, 0) if it doesn't exist."""10 11 if sorted_array and sorted_array[0] <= value:12 index: int = bisect_right(sorted_array, value) - 113 14 return index, sorted_array[index]15 16 return -1, 017 18 19def main():20 n, q = list(map(int, input().split()))21 inf = 10**1822 a = [-inf] + sorted(list(map(int, input().split()))) + [inf]23 24 def f(zj, a):25 i, _ = bisect_le(a, zj) 26 count = 027 28 if i != -1:29 count = i + 130 31 return zj - count32 33 def solve():34 xj, yj = list(map(int, input().split()))35 ng, ok = xj - 1, xj + yj + n + 136 37 while abs(ok - ng) > 1:38 wj = (ok + ng) 239 40 if f(wj, a) - f(xj - 1, a) >= yj:41 ok = wj42 else:43 ng = wj44 45 print(ok)46 47 for _ in range(q):48 solve()49 50 51if __name__ == "__main__":52 main()53