| 模型 | 模型答案 | 正确答案 |
|---|---|---|
| 金声玉亮2.0 | ```python count = 0 for x in range(1, n + 1): for y in range(1, m + 1): if (x + y) % 2 == 1: count += 1 return count ``` |
class Solution(object): def flowerGame(self, n, m): """ :type n: int :type m: int :rtype: int """ return (n*m)//2 |
| deepseek-r1 | ```python even_x = n // 2 odd_x = (n + 1) // 2 even_y = m // 2 odd_y = (m + 1) // 2 return even_x * odd_y + odd_x * even_y ``` |
class Solution(object): def flowerGame(self, n, m): """ :type n: int :type m: int :rtype: int """ return (n*m)//2 |
| gpto1 | ```python ne = n // 2 no = n - ne me = m // 2 mo = m - me return ne * mo + no * me ``` |
class Solution(object): def flowerGame(self, n, m): """ :type n: int :type m: int :rtype: int """ return (n*m)//2 |
| gpt-4o-2024-08-06 | ```python """ Alice wins if she can take the last flower. This means that the total number of flowers (x + y) must be odd. """ count = 0 for x in range(1, n + 1): for y in range(1, m + 1): if (x + y) % 2 == 1: count += 1 return count ``` |
class Solution(object): def flowerGame(self, n, m): """ :type n: int :type m: int :rtype: int """ return (n*m)//2 |
| Meta-Llama-3.1-405B-Instruct-Turbo | ```python total_pairs = 0 for x in range(1, n + 1): for y in range(1, m + 1): if (x + y) % 2 == 1 and x != y: total_pairs += 1 return total_pairs ``` |
class Solution(object): def flowerGame(self, n, m): """ :type n: int :type m: int :rtype: int """ return (n*m)//2 |
| Meta-Llama-3.1-70B-Instruct-Turbo | ```python if n == 1 and m == 1: return 0 if n == 1 or m == 1: return 0 if n % 2 == 0 and m % 2 == 0: return 0 if n % 2 == 0 or m % 2 == 0: return (n + m) // 2 return (n + m) // 2 + 1 ``` |
class Solution(object): def flowerGame(self, n, m): """ :type n: int :type m: int :rtype: int """ return (n*m)//2 |
| DeepSeek-Coder-V2-Lite-Instruct | ```python class Solution(object): def flowerGame(self, n, m): """ :type n: int :type m: int :rtype: int """ count = 0 for x in range(1, n + 1): for y in range(1, m + 1): if x % 2 == 1 and y % 2 == 0: count += 1 elif x % 2 == 0 and y % 2 == 1: count += 1 return count ``` |
class Solution(object): def flowerGame(self, n, m): """ :type n: int :type m: int :rtype: int """ return (n*m)//2 |
| Qwen2-72B-Instruct | ```python # Alice wins if she can take the last flower, which means the total number of flowers # should be odd. If the total number of flowers is even, then Bob can always win by # mirroring Alice's moves. # Therefore, we just need to count the number of odd numbers in the range [1, n+m-1] # that can be expressed as the sum of a number in the range [1, n] and a number in the range [1, m]. count = 0 for i in range(1, n+1): for j in range(1, m+1): if (i + j) % 2 != 0: count += 1 return count ``` |
class Solution(object): def flowerGame(self, n, m): """ :type n: int :type m: int :rtype: int """ return (n*m)//2 |
| baichuan4 | ```python count = 0 for x in range(1, n+1): for y in range(1, m+1): # Alice wins if she can pick all flowers in one direction # before Bob can pick all flowers in the other direction. # This means that the number of flowers in one direction # should be strictly greater than the number of turns it takes # to pick all flowers in the other direction. if x > y or y > x: count += 1 return count ``` |
class Solution(object): def flowerGame(self, n, m): """ :type n: int :type m: int :rtype: int """ return (n*m)//2 |
| doubao | ```python count = 0 for x in range(1, n + 1): for y in range(1, m + 1): if x > y: count += 1 return count ``` |
class Solution(object): def flowerGame(self, n, m): """ :type n: int :type m: int :rtype: int """ return (n*m)//2 |
| gpto1 | ```python ne = n // 2 no = n - ne me = m // 2 mo = m - me return ne * mo + no * me ``` |
class Solution(object): def flowerGame(self, n, m): """ :type n: int :type m: int :rtype: int """ return (n*m)//2 |
| kimi | ```python a = min(n, m) b = max(n, m) total = 0 for i in range(1, a + 1): total += max(0, min(n, b + 1 - i) - max(1, i - b)) return total ``` |
class Solution(object): def flowerGame(self, n, m): """ :type n: int :type m: int :rtype: int """ return (n*m)//2 |
| minimax | ```python class Solution(object): def flowerGame(self, n, m): """ :type n: int :type m: int :rtype: int """ # Alice wins if she can pick the last flower. # For Alice to win, she must always have at least one more flower to pick than Bob. # This is possible if and only if n > m or m > n. # If n == m, Alice cannot win because she will always be in the same situation as Bob. if n == m: return 0 # If n > m, Alice can always win by picking flowers in the clockwise direction. # The number of ways she can win is m because she can pick any flower from 1 to m. # If m > n, Alice can always win by picking flowers in the anti-clockwise direction. # The number of ways she can win is n because she can pick any flower from 1 to n. return max(n, m) ``` |
class Solution(object): def flowerGame(self, n, m): """ :type n: int :type m: int :rtype: int """ return (n*m)//2 |
| wenxinyiyan | ```python def can_win(x, y): # Base cases: if either x or y is zero, the current player loses if x == 0 or y == 0: return False # If x and y are both 1, the current player wins if x == 1 and y == 1: return True # If x > y, the current player can always reduce x to y and ensure victory if x > y: return True # If y > x, the current player can always reduce y to x and ensure victory, # but only if the resulting position is not a losing position for the opponent if y > x: return not can_win(y - x, x) # If x == y, the current player loses if the opponent can win from (x-1, y) or (x, y-1) return not (can_win(x - 1, y) or can_win(x, y - 1)) count = 0 # Iterate over all possible pairs (x, y) and count the ones where Alice can win for x in range(1, n + 1): for y in range(1, m + 1): if can_win(x, y): count += 1 return count ``` **Note**: The provided solution uses a recursive function `can_win` to determine if Alice can win from a given position `(x, y)`. However, this recursive approach may not be efficient enough to handle large inputs up to `10^5` due to potential overlapping subproblems and exponential time complexity. To optimize the solution, memoization or dynamic programming techniques can be applied to store and reuse previously computed results, significantly reducing the number of necessary calculations. Here's an optimized version using memoization: ```python class Solution(object): def flowerGame(self, n, m): memo = {} # Memoization dictionary to store computed results def can_win(x, y): if (x, y) in memo: return memo[(x, y)] if x == 0 or y == 0: result = False elif x == 1 and y == 1: result = True elif x > y: result = True elif y > x: result = not can_win(y - x, x) else: result = not (can_win(x - 1, y) or can_win(x, y - 1)) memo[(x, y)] = result # Store the computed result in the memoization dictionary return result count = 0 for x in range(1, n + 1): for y in range(1, m + 1): if can_win(x, y): count += 1 return count ``` This optimized version significantly improves the performance by avoiding redundant calculations and allows the solution to handle larger inputs efficiently. |
class Solution(object): def flowerGame(self, n, m): """ :type n: int :type m: int :rtype: int """ return (n*m)//2 |
| zhipu | ``` count = 0 for x in range(1, n + 1): for y in range(1, m + 1): # Alice wins if the total number of flowers is odd if (x + y) % 2 == 1: count += 1 return count ``` |
class Solution(object): def flowerGame(self, n, m): """ :type n: int :type m: int :rtype: int """ return (n*m)//2 |
| deepseek-v3 | ```python # Alice wins if the sum of x and y is odd, because Alice takes the first turn # So we need to count the number of pairs (x, y) where x + y is odd # x is in [1, n], y is in [1, m] # Number of odd x in [1, n] odd_x = (n + 1) // 2 # Number of even x in [1, n] even_x = n // 2 # Number of odd y in [1, m] odd_y = (m + 1) // 2 # Number of even y in [1, m] even_y = m // 2 # Total pairs where x + y is odd: # (odd_x * even_y) + (even_x * odd_y) total = (odd_x * even_y) + (even_x * odd_y) return total ``` |
class Solution(object): def flowerGame(self, n, m): """ :type n: int :type m: int :rtype: int """ return (n*m)//2 |