| 模型 | 模型答案 | 正确答案 |
|---|---|---|
| 金声玉亮2.0 | ```python import sys input = sys.stdin.read data = input().split() N = int(data[0]) M = int(data[1]) L = int(data[2]) a = list(map(int, data[3:3+N])) b = list(map(int, data[3+N:3+N+M])) not_offered = set() for i in range(L): c = int(data[3+N+M+2*i]) d = int(data[3+N+M+2*i+1]) not_offered.add((c, d)) max_price = 0 for i in range(N): for j in range(M): if (i+1, j+1) not in not_offered: max_price = max(max_price, a[i] + b[j]) print(max_price) ``` |
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| deepseek-r1 | ```python import math n, m, l = map(int, input().split()) a = list(map(int, input().split())) b = list(map(int, input().split())) # Sort a and b in descending order, tracking original indices (1-based) a_sorted = sorted([(val, i+1) for i, val in enumerate(a)], key=lambda x: (-x[0], x[1])) b_sorted = sorted([(val, i+1) for i, val in enumerate(b)], key=lambda x: (-x[0], x[1])) k = int(math.sqrt(l)) + 1 top_ka = a_sorted[:k] top_kb = b_sorted[:k] forbidden = set() for _ in range(l): c, d = map(int, input().split()) forbidden.add((c, d)) max_sum = -1 for a_val, a_idx in top_ka: for b_val, b_idx in top_kb: if (a_idx, b_idx) not in forbidden: current_sum = a_val + b_val if current_sum > max_sum: max_sum = current_sum print(max_sum) ``` |
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| gpto1 | ```python # YOUR CODE HERE import sys import threading def main(): import sys import heapq sys.setrecursionlimit(1 << 25) N, M, L = map(int, sys.stdin.readline().split()) a_vals = list(map(int, sys.stdin.readline().split())) b_vals = list(map(int, sys.stdin.readline().split())) forbidden_set = set() for _ in range(L): c_i, d_i = map(int, sys.stdin.readline().split()) forbidden_set.add((c_i -1, d_i -1)) # Convert to 0-based index # Prepare sorted arrays with original indices a_list = [(-val, idx) for idx, val in enumerate(a_vals)] b_list = [(-val, idx) for idx, val in enumerate(b_vals)] a_list.sort() b_list.sort() N = len(a_list) M = len(b_list) visited = set() heap = [] heapq.heappush(heap, (a_list[0][0]+b_list[0][0], 0, 0)) visited.add((0,0)) while heap: sum_ab, i, j = heapq.heappop(heap) a_price, a_idx = a_list[i] b_price, b_idx = b_list[j] main_dish_idx = a_idx side_dish_idx = b_idx if (main_dish_idx, side_dish_idx) not in forbidden_set: print(-sum_ab) return if i +1 < N and (i+1, j) not in visited: heapq.heappush(heap, (a_list[i+1][0]+b_list[j][0], i+1, j)) visited.add((i+1,j)) if j +1 < M and (i, j+1) not in visited: heapq.heappush(heap, (a_list[i][0]+b_list[j+1][0], i, j+1)) visited.add((i,j+1)) threading.Thread(target=main).start() ``` |
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| gpt-4o-2024-08-06 | ```python # YOUR CODE HERE def main(): import sys input = sys.stdin.read data = input().split() # Read N, M, L index = 0 N = int(data[index]) M = int(data[index + 1]) L = int(data[index + 2]) index += 3 # Read main dish prices a = list(map(int, data[index:index + N])) index += N # Read side dish prices b = list(map(int, data[index:index + M])) index += M # Read the incompatible pairs incompatible_pairs = set() for _ in range(L): c = int(data[index]) - 1 d = int(data[index + 1]) - 1 incompatible_pairs.add((c, d)) index += 2 # Find the maximum price of a set meal that is not incompatible max_price = 0 for i in range(N): for j in range(M): if (i, j) not in incompatible_pairs: price = a[i] + b[j] if price > max_price: max_price = price print(max_price) if __name__ == "__main__": main() ``` |
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| DeepSeek-Coder-V2-Lite-Instruct | ```python # YOUR CODE HERE import sys # Read input N, M, L = map(int, sys.stdin.readline().split()) a = list(map(int, sys.stdin.readline().split())) b = list(map(int, sys.stdin.readline().split())) c = [tuple(map(int, sys.stdin.readline().split())) for _ in range(L)] # Create a list to store the prices of all possible set meals prices = [] # Calculate the price of each set meal for i in range(N): for j in range(M): # Check if the pair (i+1, j+1) is offered if (i + 1, j + 1) not in c: prices.append(a[i] + b[j]) # Find the maximum price among all set meals max_price = max(prices) # Print the result print(max_price) ``` |
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| Meta-Llama-3.1-405B-Instruct-Turbo | ```python import sys def solve(): n, m, l = map(int, sys.stdin.readline().split()) a = list(map(int, sys.stdin.readline().split())) b = list(map(int, sys.stdin.readline().split())) c = [] for _ in range(l): c.append(list(map(int, sys.stdin.readline().split()))) a = sorted([(x, i+1) for i, x in enumerate(a)], reverse=True) b = sorted([(x, i+1) for i, x in enumerate(b)], reverse=True) c = set((x, y) for x, y in c) i = 0 j = 0 while i < n and j < m: if (a[i][1], b[j][1]) in c: i += 1 continue print(a[i][0] + b[j][0]) return solve() ``` |
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| Meta-Llama-3.1-70B-Instruct-Turbo | ```python import sys n, m, l = map(int, input().split()) a = list(map(int, input().split())) b = list(map(int, input().split())) c = [list(map(int, input().split())) for _ in range(l)] max_a = max(a) max_b = max(b) max_a_index = a.index(max_a) + 1 max_b_index = b.index(max_b) + 1 if (max_a_index, max_b_index) in c: c.remove((max_a_index, max_b_index)) max_a = max([x for i, x in enumerate(a) if (i+1, max_b_index) not in c]) max_b = max([x for i, x in enumerate(b) if (max_a_index, i+1) not in c]) print(max_a + max_b) ``` |
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| Qwen2-72B-Instruct | ```python N, M, L = map(int, input().split()) A = list(map(int, input().split())) B = list(map(int, input().split())) A.sort(reverse=True) B.sort(reverse=True) AB = [list(map(int, input().split())) for _ in range(L)] U = [0] * (N + 1) V = [0] * (M + 1) for a, b in AB: U[a] += 1 V[b] += 1 u = sum(U) v = sum(V) for i in range(N): if U[i + 1] == 0: u = i break for i in range(M): if V[i + 1] == 0: v = i break print(max(A[:u]) + max(B[:v])) ``` ``` |
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| baichuan4 | ```python import sys def read_input(): N, M, L = map(int, sys.stdin.readline().split()) a = list(map(int, sys.stdin.readline().split())) b = list(map(int, sys.stdin.readline().split())) not_offered = [tuple(map(int, sys.stdin.readline().split())) for _ in range(L)] return N, M, L, a, b, not_offered def find_max_price(N, M, L, a, b, not_offered): max_price = 0 for i in range(1, N + 1): for j in range(1, M + 1): if (i, j) not in not_offered: max_price = max(max_price, a[i - 1] + b[j - 1]) return max_price def main(): N, M, L, a, b, not_offered = read_input() result = find_max_price(N, M, L, a, b, not_offered) print(result) if __name__ == "__main__": main() ``` |
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| doubao | ```python import sys N, M, L = map(int, sys.stdin.readline().split()) a = list(map(int, sys.stdin.readline().split())) b = list(map(int, sys.stdin.readline().split())) for _ in range(L): c, d = map(int, sys.stdin.readline().split()) a[c - 1] = 0 b[d - 1] = 0 max_price = 0 for i in range(N): for j in range(M): if a[i] and b[j]: max_price = max(max_price, a[i] + b[j]) print(max_price) ``` |
[{"input": "2 3 3\n2 1\n10 30 20\n1 2\n2 1\n2 3\n", "output": "31\n", "testtype": "stdin"}, {"input": "2 1 0\n1000000000 1\n1000000000\n", "output": "2000000000\n", "testtype": "stdin"}, {"input": "10 10 10\n47718 21994 74148 76721 98917 73766 29598 59035 69293 29127\n7017 46004 16086 62644 74928 57404 32168 45794 19493 71590\n1 3\n2 6\n4 5\n5 4\n5 5\n5 6\n5 7\n5 8\n5 10\n7 3\n", "output": "149076\n", "testtype": "stdin"}] |
| gpto1 | ```python # YOUR CODE HERE import sys import threading def main(): import sys import heapq sys.setrecursionlimit(1 << 25) N, M, L = map(int, sys.stdin.readline().split()) a_vals = list(map(int, sys.stdin.readline().split())) b_vals = list(map(int, sys.stdin.readline().split())) forbidden_set = set() for _ in range(L): c_i, d_i = map(int, sys.stdin.readline().split()) forbidden_set.add((c_i -1, d_i -1)) # Convert to 0-based index # Prepare sorted arrays with original indices a_list = [(-val, idx) for idx, val in enumerate(a_vals)] b_list = [(-val, idx) for idx, val in enumerate(b_vals)] a_list.sort() b_list.sort() N = len(a_list) M = len(b_list) visited = set() heap = [] heapq.heappush(heap, (a_list[0][0]+b_list[0][0], 0, 0)) visited.add((0,0)) while heap: sum_ab, i, j = heapq.heappop(heap) a_price, a_idx = a_list[i] b_price, b_idx = b_list[j] main_dish_idx = a_idx side_dish_idx = b_idx if (main_dish_idx, side_dish_idx) not in forbidden_set: print(-sum_ab) return if i +1 < N and (i+1, j) not in visited: heapq.heappush(heap, (a_list[i+1][0]+b_list[j][0], i+1, j)) visited.add((i+1,j)) if j +1 < M and (i, j+1) not in visited: heapq.heappush(heap, (a_list[i][0]+b_list[j+1][0], i, j+1)) visited.add((i,j+1)) threading.Thread(target=main).start() ``` |
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| kimi | ```python import sys input = sys.stdin.readline def main(): (N, M, L) = map(int, input().split()) a = list(map(int, input().split())) b = list(map(int, input().split())) c = [0] * L d = [0] * L for i in range(L): (c[i], d[i]) = map(int, input().split()) c[i] -= 1 d[i] -= 1 max_a = max(a) max_b = max(b) ans = 0 for i in range(N): for j in range(M): if i != c[j] or j != d[j]: ans = max(ans, a[i] + b[j]) print(ans) main() ``` |
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| minimax | ```python # YOUR CODE HERE import sys # Read the inputs N, M, L = map(int, input().split()) a = list(map(int, input().split())) b = list(map(int, input().split())) for _ in range(L): c, d = map(int, input().split()) # Initialize the maximum price to the smallest possible integer max_price = 0 # Iterate through all possible combinations of main and side dishes for i in range(N): for j in range(M): # Check if the combination is not offered if not (i + 1 == c and j + 1 == d): # Calculate the price of the set meal price = a[i] + b[j] # Update the maximum price if the current price is higher if price > max_price: max_price = price # Print the maximum price print(max_price) ``` |
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| wenxinyiyan | ```python # Read input values N, M, L = map(int, input().split()) a = list(map(int, input().split())) b = list(map(int, input().split())) exceptions = set() for _ in range(L): c, d = map(int, input().split()) exceptions.add((c-1, d-1)) # Convert to 0-based indexing # Initialize variables to store the maximum price and the prices of main dishes and side dishes max_price = 0 # Find the maximum price of a set meal for i in range(N): for j in range(M): if (i, j) not in exceptions: price = a[i] + b[j] max_price = max(max_price, price) # Print the maximum price print(max_price) ``` **Note**: The provided solution uses a nested loop to iterate over all possible combinations of main dishes and side dishes, excluding the exceptions. This approach has a time complexity of O(NM), which may not be efficient for very large input values of N and M (up to 10^5). However, since the constraints guarantee that at least one set meal is offered, and the number of exceptions L is limited to a maximum of 10^5, this solution should be sufficient for the given problem. If you need a more efficient solution for larger inputs, you can consider using priority queues (heaps) or other advanced data structures to optimize the search for the maximum price. However, such optimizations are beyond the scope of this basic problem specification. |
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| zhipu | ```python import sys input = sys.stdin.read def main(): data = input().split() idx = 0 # Read N, M, L N = int(data[idx]) M = int(data[idx + 1]) L = int(data[idx + 2]) idx += 3 # Read main dish prices a = list(map(int, data[idx:idx + N])) idx += N # Read side dish prices b = list(map(int, data[idx:idx + M])) idx += M # Initialize a set to store invalid pairs invalid_pairs = set() for _ in range(L): c = int(data[idx]) - 1 d = int(data[idx + 1]) - 1 idx += 2 invalid_pairs.add((c, d)) # Find the maximum price of a valid set meal max_price = 0 for i in range(N): for j in range(M): if (i, j) not in invalid_pairs: max_price = max(max_price, a[i] + b[j]) print(max_price) if __name__ == "__main__": main() ``` |
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| deepseek-v3 | ```python # YOUR CODE HERE def main(): import sys input = sys.stdin.read data = input().split() N = int(data[0]) M = int(data[1]) L = int(data[2]) a = list(map(int, data[3:3+N])) b = list(map(int, data[3+N:3+N+M])) forbidden = set() index = 3 + N + M for _ in range(L): c = int(data[index]) d = int(data[index+1]) forbidden.add((c, d)) index += 2 max_a = max(a) max_b = max(b) # Check if the max combination is allowed max_a_idx = a.index(max_a) + 1 max_b_idx = b.index(max_b) + 1 if (max_a_idx, max_b_idx) not in forbidden: print(max_a + max_b) return # Otherwise, find the next best # We need to find the maximum a_i + b_j where (i+1, j+1) is not in forbidden # To optimize, we can iterate over all possible combinations in descending order of a_i + b_j # Since N and M can be up to 1e5, a full iteration is not feasible # Instead, we can consider the top k a_i and top k b_j and check their combinations # Let's take the top 100 elements from a and b k = 100 top_a_indices = sorted(range(N), key=lambda x: a[x], reverse=True)[:k] top_b_indices = sorted(range(M), key=lambda x: b[x], reverse=True)[:k] max_price = 0 for i in top_a_indices: for j in top_b_indices: if (i+1, j+1) not in forbidden: current_price = a[i] + b[j] if current_price > max_price: max_price = current_price print(max_price) if __name__ == "__main__": main() ``` |
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