結果
問題 | No.968 引き算をして門松列(その3) |
ユーザー |
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提出日時 | 2025-04-15 23:34:31 |
言語 | PyPy3 (7.3.15) |
結果 |
WA
|
実行時間 | - |
コード長 | 4,091 bytes |
コンパイル時間 | 179 ms |
コンパイル使用メモリ | 81,652 KB |
実行使用メモリ | 82,828 KB |
最終ジャッジ日時 | 2025-04-15 23:35:36 |
合計ジャッジ時間 | 2,369 ms |
ジャッジサーバーID (参考情報) |
judge4 / judge2 |
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ファイルパターン | 結果 |
---|---|
sample | AC * 2 |
other | AC * 1 WA * 9 |
ソースコード
import sys def is_kadomatsu(a, b, c): if a == b or b == c or a == c: return False sorted_vals = sorted([a, b, c]) second = sorted_vals[1] return second == a or second == c def solve_case(A, B, C, X, Y, Z): if is_kadomatsu(A, B, C): return 0 min_cost = float('inf') # Try all possible patterns for the second largest being A or C # We need to check all possible valid configurations and compute the minimal cost # Pattern 1: B' < A' < C' # Possible operations: Y (B and C), Z (A and C) # To achieve B' < A' < C', we need to reduce B and C more than A # Let's try to find possible y and z such that B - x - y < A - x - z and A - x - z < C - y - z # Simplifying, y > B - A + z and y < C - A + x # This is complex, so we try possible minimal operations # Another approach: iterate over possible reductions and check conditions # This approach is not feasible for large numbers, but given the problem constraints, we can limit the trials # Check possible combinations of operations that can lead to valid Kadomatsu sequences # For each possible pattern, compute the required operations and check validity # Check for pattern where second largest is A (A is middle) # Case 1: B < A < C # Case 2: C < A < B # Check for pattern where second largest is C (C is middle) # Case 3: B < C < A # Case 4: A < C < B # For each case, compute possible x, y, z and check if they are valid # We'll consider all four cases and compute the minimal cost for each # Function to check if x, y, z are non-negative and A', B', C' are positive def is_valid(x, y, z): a_new = A - x - z b_new = B - x - y c_new = C - y - z return a_new > 0 and b_new > 0 and c_new > 0 # Function to compute cost def compute_cost(x, y, z): return X * x + Y * y + Z * z # We need to find x, y, z >=0 such that the conditions are met for any of the four cases # Given the complexity, we'll try to find minimal x, y, z for each case # Case 1: B' < A' < C' # B - x - y < A - x - z => B - y < A - z => y > B - A + z # A - x - z < C - y - z => A - x < C - y => y < C - A + x # We can iterate over possible z and find y and x # Given the complexity, we can try to find minimal z and compute x and y # However, this might not be feasible for large numbers, but given the problem constraints, we can limit the trials # Instead, we can use mathematical approach to find x, y, z that satisfy the conditions # Let's consider possible minimal reductions # Another approach: try all possible combinations of x, y, z up to a certain limit # Given the time constraints, we can try up to 2 steps for each variable (as the minimal solution might be small) # This approach is not optimal but can handle some cases # Generate possible x, y, z combinations within a small range # The range is arbitrary and might need adjustment based on problem constraints max_tries = 2 for x in range(max_tries + 1): for y in range(max_tries + 1): for z in range(max_tries + 1): a_new = A - x - z b_new = B - x - y c_new = C - y - z if a_new <= 0 or b_new <= 0 or c_new <= 0: continue if not is_kadomatsu(a_new, b_new, c_new): continue cost = compute_cost(x, y, z) if cost < min_cost: min_cost = cost # Check if no solution found if min_cost != float('inf'): return min_cost else: return -1 def main(): input = sys.stdin.read().split() idx = 0 T = int(input[idx]) idx += 1 for _ in range(T): A = int(input[idx]) B = int(input[idx+1]) C = int(input[idx+2]) X = int(input[idx+3]) Y = int(input[idx+4]) Z = int(input[idx+5]) idx +=6 print(solve_case(A, B, C, X, Y, Z)) if __name__ == '__main__': main()