| 模型 | 模型答案 | 正确答案 |
|---|---|---|
| 金声玉亮2.0 | ```python from typing import List class Solution: def returnToBoundaryCount(self, nums: List[int]) -> int: position = 0 count = 0 for num in nums: position += num if position == 0: count += 1 return count ``` |
[{"input": "[2, 3, -5]", "output": "1", "testtype": "functional"}, {"input": "[3, 2, -3, -4]", "output": "0", "testtype": "functional"}] |
| deepseek-r1 | ```python from typing import List class Solution: def returnToBoundaryCount(self, nums: List[int]) -> int: position = 0 count = 0 for num in nums: position += num if position == 0: count += 1 return count ``` |
[{"input": "[2, 3, -5]", "output": "1", "testtype": "functional"}, {"input": "[3, 2, -3, -4]", "output": "0", "testtype": "functional"}] |
| gpto1 | ```python class Solution: def returnToBoundaryCount(self, nums: List[int]) -> int: position = 0 count = 0 for num in nums: position += num if position == 0: count += 1 return count ``` |
[{"input": "[2, 3, -5]", "output": "1", "testtype": "functional"}, {"input": "[3, 2, -3, -4]", "output": "0", "testtype": "functional"}] |
| gpt-4o-2024-08-06 | ```python class Solution: def returnToBoundaryCount(self, nums: List[int]) -> int: position = 0 boundary_count = 0 for move in nums: position += move if position == 0: boundary_count += 1 return boundary_count ``` |
[{"input": "[2, 3, -5]", "output": "1", "testtype": "functional"}, {"input": "[3, 2, -3, -4]", "output": "0", "testtype": "functional"}] |
| DeepSeek-Coder-V2-Lite-Instruct | ```python from typing import List class Solution: def returnToBoundaryCount(self, nums: List[int]) -> int: position = 0 boundary_crossings = 0 for num in nums: position += num if position == 0 or position == len(nums): boundary_crossings += 1 return boundary_crossings ``` |
[{"input": "[2, 3, -5]", "output": "1", "testtype": "functional"}, {"input": "[3, 2, -3, -4]", "output": "0", "testtype": "functional"}] |
| Meta-Llama-3.1-405B-Instruct-Turbo | ```python from typing import List class Solution: def returnToBoundaryCount(self, nums: List[int]) -> int: position = 0 count = 0 for num in nums: position += num if position == 0: count += 1 return count ``` |
[{"input": "[2, 3, -5]", "output": "1", "testtype": "functional"}, {"input": "[3, 2, -3, -4]", "output": "0", "testtype": "functional"}] |
| Meta-Llama-3.1-70B-Instruct-Turbo | ```python class Solution: def returnToBoundaryCount(self, nums: List[int]) -> int: position = 0 count = 0 for num in nums: position += num if position == 0: count += 1 return count ``` |
[{"input": "[2, 3, -5]", "output": "1", "testtype": "functional"}, {"input": "[3, 2, -3, -4]", "output": "0", "testtype": "functional"}] |
| Qwen2-72B-Instruct | ```python class Solution: def returnToBoundaryCount(self, nums: List[int]) -> int: position = 0 count = 0 for num in nums: position += num if position == 0: count += 1 return count ``` |
[{"input": "[2, 3, -5]", "output": "1", "testtype": "functional"}, {"input": "[3, 2, -3, -4]", "output": "0", "testtype": "functional"}] |
| baichuan4 | ```python class Solution: def returnToBoundaryCount(self, nums: List[int]) -> int: position = 0 count = 0 for move in nums: position += move if position == 0: count += 1 return count ``` |
[{"input": "[2, 3, -5]", "output": "1", "testtype": "functional"}, {"input": "[3, 2, -3, -4]", "output": "0", "testtype": "functional"}] |
| doubao | ```python class Solution: def returnToBoundaryCount(self, nums: List[int]) -> int: position = 0 count = 0 for num in nums: if num > 0: position += num elif num < 0: position -= num if position == 0: count += 1 return count ``` |
[{"input": "[2, 3, -5]", "output": "1", "testtype": "functional"}, {"input": "[3, 2, -3, -4]", "output": "0", "testtype": "functional"}] |
| gpto1 | ```python class Solution: def returnToBoundaryCount(self, nums: List[int]) -> int: position = 0 count = 0 for num in nums: position += num if position == 0: count += 1 return count ``` |
[{"input": "[2, 3, -5]", "output": "1", "testtype": "functional"}, {"input": "[3, 2, -3, -4]", "output": "0", "testtype": "functional"}] |
| kimi | ```python class Solution: def returnToBoundaryCount(self, nums: List[int]) -> int: pos = 0 count = 0 for num in nums: if num > 0: pos += num else: pos += num if pos == 0: count += 1 elif pos == 0: count += 1 return count ``` |
[{"input": "[2, 3, -5]", "output": "1", "testtype": "functional"}, {"input": "[3, 2, -3, -4]", "output": "0", "testtype": "functional"}] |
| minimax | ```python from typing import List class Solution: def returnToBoundaryCount(self, nums: List[int]) -> int: position = 0 # Start at the boundary boundary_crossings = 0 for step in nums: # Move the ant according to the value of the current element position += step # Check if the ant has crossed the boundary if position == 0: boundary_crossings += 1 # Reset the position to the boundary position = 0 return boundary_crossings # Example usage: # sol = Solution() # print(sol.returnToBoundaryCount([2,3,-5])) # Output: 1 # print(sol.returnToBoundaryCount([3,2,-3,-4])) # Output: 0 ``` |
[{"input": "[2, 3, -5]", "output": "1", "testtype": "functional"}, {"input": "[3, 2, -3, -4]", "output": "0", "testtype": "functional"}] |
| wenxinyiyan | ```python class Solution: def returnToBoundaryCount(self, nums: List[int]) -> int: count = 0 # Initialize the count of returns to the boundary position = 0 # Initialize the ant's position on the boundary for num in nums: position += num # Move the ant according to the current element # Check if the ant is on the boundary after moving if position == 0: count += 1 return count ``` This program defines a class `Solution` with a method `returnToBoundaryCount` that takes an array of non-zero integers `nums` as input and returns the number of times the ant returns to the boundary. The program uses a `count` variable to keep track of the number of returns and a `position` variable to track the ant's current position. It iterates over the elements of `nums`, updates the ant's position accordingly, and checks if the ant is on the boundary after each move. If the ant is on the boundary, it increments the `count` variable. Finally, it returns the total count of returns to the boundary. |
[{"input": "[2, 3, -5]", "output": "1", "testtype": "functional"}, {"input": "[3, 2, -3, -4]", "output": "0", "testtype": "functional"}] |
| zhipu | ```python class Solution: def returnToBoundaryCount(self, nums: List[int]) -> int: position = 0 boundary_count = 0 for num in nums: position += num if position == 0: boundary_count += 1 return boundary_count ``` |
[{"input": "[2, 3, -5]", "output": "1", "testtype": "functional"}, {"input": "[3, 2, -3, -4]", "output": "0", "testtype": "functional"}] |
| deepseek-v3 | ```python class Solution: def returnToBoundaryCount(self, nums: List[int]) -> int: position = 0 count = 0 for num in nums: position += num if position == 0: count += 1 return count ``` |
[{"input": "[2, 3, -5]", "output": "1", "testtype": "functional"}, {"input": "[3, 2, -3, -4]", "output": "0", "testtype": "functional"}] |