- 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
- 61 lines of Python from the credited upstream file abc425_e.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 calc_pascals_triangle(n_max, mod):5 """Calc binomial coefficients (nCk).6 7 Args:8 n_max: A max number (greater than or equal to 0).9 10 Returns:11 List of binomial coefficients.12 13 Examples:14 7C3: c[7][3]15 16 Landau notation: O(n_max ** 2).17 """18 19 assert n_max >= 020 21 c = [[0 for _ in range(n_max + 1)] for _ in range(n_max + 1)]22 c[0][0] = 123 24 for i in range(n_max):25 for j in range(i + 1):26 c[i + 1][j] += c[i][j] % mod27 c[i + 1][j + 1] += c[i][j] % mod28 29 return c30 31 32def solve(pascals_triangle, mod):33 n = int(input())34 c = list(map(int, input().split()))35 summed_c = 036 ans = 137 38 for ci in c:39 summed_c += ci40 ans *= pascals_triangle[summed_c][ci]41 ans %= mod42 43 print(ans)44 45 46def main():47 import sys48 49 input = sys.stdin.readline50 51 t, mod = map(int, input().split())52 c_max = 500053 pascals_triangle = calc_pascals_triangle(c_max, mod)54 55 for _ in range(t):56 solve(pascals_triangle, mod)57 58 59if __name__ == "__main__":60 main()61