- Translate each rule into one explicit state update.
- Maintain the invariant after every processed item.
- Return the accumulated state once all relevant input has been handled.
Code notes
- 72 lines of Python from the credited upstream file abc319_c.py.
- The implementation visibly relies on sequence storage, ordered lookup.
- No explicit loop blocks detected.
Complexity
Count the number and nesting of passes over the input, then include the maintained containers in the memory estimate.
Check the problem constraints before deciding whether this complexity will pass.
Use this to learn the idea, then write your own version.
12 3 4def main():5 import sys6 from itertools import permutations7 8 input = sys.stdin.readline9 10 cells = list()11 12 13 for _ in range(3):14 ci = list(map(int, input().split()))15 cells += ci16 17 18 19 20 trio = [21 (0, 1, 2),22 (3, 4, 5),23 (6, 7, 8),24 (0, 3, 6),25 (1, 4, 7),26 (2, 5, 8),27 (2, 4, 6),28 (0, 4, 8),29 ]30 31 count, count_all = 0, 032 33 for order in permutations(range(9)):34 count_all += 135 ok = True36 37 38 39 for a, b, c in trio:40 if (41 (cells[a] == cells[b])42 and (order[a] < order[c])43 and (order[b] < order[c])44 ):45 ok = False46 break47 48 if (49 (cells[b] == cells[c])50 and (order[b] < order[a])51 and (order[c] < order[a])52 ):53 ok = False54 break55 56 if (57 (cells[c] == cells[a])58 and (order[c] < order[b])59 and (order[a] < order[b])60 ):61 ok = False62 break63 64 if ok:65 count += 166 67 print(count / count_all)68 69 70if __name__ == "__main__":71 main()72