結果
問題 |
No.3047 Verification of Sorting Network
|
ユーザー |
👑 |
提出日時 | 2025-03-08 19:55:36 |
言語 | PyPy3 (7.3.15) |
結果 |
AC
|
実行時間 | 949 ms / 2,000 ms |
コード長 | 4,249 bytes |
コンパイル時間 | 684 ms |
コンパイル使用メモリ | 82,360 KB |
実行使用メモリ | 140,436 KB |
最終ジャッジ日時 | 2025-03-08 19:56:05 |
合計ジャッジ時間 | 29,115 ms |
ジャッジサーバーID (参考情報) |
judge4 / judge3 |
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ファイルパターン | 結果 |
---|---|
sample | AC * 3 |
other | AC * 61 |
ソースコード
""" yukicoder Problem: Verify Sorting Network """ import sys SHOW_PROGRESS = True PROGRESS_THRESHOLD = 28 class IsSortingOk: """is_sorting_network Ok type""" def __init__(self, value: list[bool]): self.value = value def __bool__(self): return True def __str__(self): return 'Yes' def get_data(self): """get data value""" return self.value class IsSortingNg: """is_sorting_network Ng type""" def __init__(self, value: list[bool]): self.value = value def __bool__(self): return False def __str__(self): return 'No' def get_error(self): """get error value""" return self.value def is_sorting_network(n: int, net: list[tuple[int, int]]) -> IsSortingOk | IsSortingNg: """ Checks if the given network is a sorting network. Operates in time complexity O(m * phi**n). phi is the golden ratio 1.618... """ assert 2 <= n # Check the range of 0-indexed inputs assert all(0 <= a < b < n for a, b in net) # Number of comparators m = len(net) # Initial state is all '?' = indeterminate: not determined to be 0 or 1 queue: set[tuple[int, int]] = set() queue.add(((1 << n) - 1, (1 << n) - 1)) # Record whether the comparator is ever used unused_cmp = [] # Record unsorted positions unsorted_i = 0 # show_progress show_progress = SHOW_PROGRESS and n >= PROGRESS_THRESHOLD for i, (a, b) in enumerate(net): queue_next: set[tuple[int, int]] = set() unused_f = True for (z, o) in queue: if ((o >> a) & 1) == 0 or ((z >> b) & 1) == 0: queue_next.add((z, o)) elif ((z >> a) & 1) == 1 and ((o >> b) & 1) == 1: unused_f = False qz, qo, z = z, (o ^ (1 << a) ^ (1 << b)), (z ^ (1 << b)) if (qo & (qz >> 1)) != 0: queue_next.add((qz, qo)) if (o & (z >> 1)) != 0: queue_next.add((z, o)) else: unused_f = False xz, xo = (((z >> a) ^ (z >> b)) & 1), (((o >> a) ^ (o >> b)) & 1) z, o = (z ^ ((xz << a) | (xz << b))), (o ^ ((xo << a) | (xo << b))) if (o & (z >> 1)) != 0: queue_next.add((z, o)) unused_cmp.append(unused_f) queue = queue_next if show_progress: percent = i * 100 // m sys.stderr.write(f'{percent}%\r') for z, o in queue: unsorted_i |= (o & (z >> 1)) if show_progress: sys.stderr.write('\n') # Verify that the number of search branches matches the Fibonacci sequence value # If there are unsorted branches if unsorted_i != 0: unsorted_pos = [((unsorted_i >> i) & 1) != 0 for i in range(n - 1)] return IsSortingNg(unsorted_pos) # If all branches are sorted return IsSortingOk(unused_cmp) def main(): """Input and output processing for test cases""" t = int(sys.stdin.readline()) for _ in range(t): n, m = map(int, sys.stdin.readline().split()) # 1-indexed -> 0-indexed a = map(lambda x: int(x) - 1, sys.stdin.readline().split()) b = map(lambda x: int(x) - 1, sys.stdin.readline().split()) cmps: list[tuple[int, int]] = list(zip(a, b)) assert len(cmps) == m assert all(0 <= a < b < n for a, b in cmps) # is_sorting: Check if the given network is a sorting network is_sorting = is_sorting_network(n, cmps) print(is_sorting) # Yes or No if is_sorting: # unused_cmp: Whether the comparator is unused (only if is_sorting=True) unused_cmp = is_sorting.get_data() assert len(unused_cmp) == m print(sum(unused_cmp)) print(*map(lambda e: e[0] + 1, filter(lambda e: e[1], enumerate(unused_cmp)))) else: # unsorted_pos: Positions that may not be sorted (only if is_sorting=False) unsorted_pos = is_sorting.get_error() assert len(unsorted_pos) == n - 1 print(sum(unsorted_pos)) print(*map(lambda e: e[0] + 1, filter(lambda e: e[1], enumerate(unsorted_pos)))) main()