| 模型 | 模型答案 | 测试结果 |
|---|---|---|
| 金声玉亮2.0 | ```python def sum_three_smallest_nums(nums): # Filter out non-positive numbers and sort the remaining numbers positive_nums = sorted(filter(lambda x: x > 0, nums)) # Sum the first three numbers in the sorted list return sum(positive_nums[:3]) ``` [DONE] |
pass 测试用例：assert sum_three_smallest_nums([10,20,30,40,50,60,7]) == 37 assert sum_three_smallest_nums([1,2,3,4,5]) == 6 assert sum_three_smallest_nums([0,1,2,3,4,5]) == 6 |
| deepseekr1 | [BEGIN] def sum_three_smallest_nums(nums): positive_nums = [num for num in nums if num > 0] sorted_positives = sorted(positive_nums) return sum(sorted_positives[:3]) [DONE] |
pass 测试用例：assert sum_three_smallest_nums([10,20,30,40,50,60,7]) == 37 assert sum_three_smallest_nums([1,2,3,4,5]) == 6 assert sum_three_smallest_nums([0,1,2,3,4,5]) == 6 |
| gpto1 | ```python def sum_three_smallest_nums(lst): pos_nums = [num for num in lst if num > 0] pos_nums.sort() return sum(pos_nums[:3]) ``` |
pass 测试用例：assert sum_three_smallest_nums([10,20,30,40,50,60,7]) == 37 assert sum_three_smallest_nums([1,2,3,4,5]) == 6 assert sum_three_smallest_nums([0,1,2,3,4,5]) == 6 |
| GPT-4o | ```python def sum_three_smallest_nums(nums): # Filter out non-positive numbers and sort the list positive_nums = sorted([num for num in nums if num > 0]) # Check if there are at least three positive numbers if len(positive_nums) < 3: raise ValueError("The list must contain at least three positive numbers.") # Sum the first three elements which are the smallest positive numbers return sum(positive_nums[:3]) # Test cases assert sum_three_smallest_nums([10, 20, 30, 40, 50, 60, 7]) == 37 assert sum_three_smallest_nums([1, 2, 3, 4, 5]) == 6 assert sum_three_smallest_nums([0, 1, 2, 3, 4, 5]) == 6 ``` |
pass 测试用例：assert sum_three_smallest_nums([10,20,30,40,50,60,7]) == 37 assert sum_three_smallest_nums([1,2,3,4,5]) == 6 assert sum_three_smallest_nums([0,1,2,3,4,5]) == 6 |
| llama3.1-70B-Instruct | def sum_three_smallest_nums(nums): nums = [num for num in nums if num > 0] nums.sort() return sum(nums[:3]) |
pass 测试用例：assert sum_three_smallest_nums([10,20,30,40,50,60,7]) == 37 assert sum_three_smallest_nums([1,2,3,4,5]) == 6 assert sum_three_smallest_nums([0,1,2,3,4,5]) == 6 |
| llama3.1-405B-Instruct | def sum_three_smallest_nums(lst): return sum(sorted([x for x in lst if x > 0])[:3]) |
pass 测试用例：assert sum_three_smallest_nums([10,20,30,40,50,60,7]) == 37 assert sum_three_smallest_nums([1,2,3,4,5]) == 6 assert sum_three_smallest_nums([0,1,2,3,4,5]) == 6 |
| DeepSeek-Coder-V2 | ```python def sum_three_smallest_nums(nums): # Filter out non-positive numbers and sort the remaining numbers positive_nums = sorted(filter(lambda x: x > 0, nums)) # Sum the first three numbers in the sorted list return sum(positive_nums[:3]) ``` [DONE] |
pass 测试用例：assert sum_three_smallest_nums([10,20,30,40,50,60,7]) == 37 assert sum_three_smallest_nums([1,2,3,4,5]) == 6 assert sum_three_smallest_nums([0,1,2,3,4,5]) == 6 |
| Qwen2-72B-Instruct | 'def sum_three_smallest_nums(nums): nums = sorted([num for num in nums if num > 0]) return sum(nums[:3])' [DONE] |
pass 测试用例：assert sum_three_smallest_nums([10,20,30,40,50,60,7]) == 37 assert sum_three_smallest_nums([1,2,3,4,5]) == 6 assert sum_three_smallest_nums([0,1,2,3,4,5]) == 6 |
| baichuan4 | To find the sum of the three lowest positive numbers from a given list of numbers, you can use the following function: ```python def sum_three_smallest_nums(nums): nums = [num for num in nums if num > 0] # Filter out non-positive numbers nums.sort() # Sort the list in ascending order return sum(nums[:3]) # Sum the first three numbers ``` This function first filters out any non-positive numbers from the input list, then sorts the remaining numbers in ascending order, and finally sums the first three numbers in the sorted list. Let's test the function with the provided test cases: ```python assert sum_three_smallest_nums([10, 20, 30, 40, 50, 60, 7]) == 37 assert sum_three_smallest_nums([1, 2, 3, 4, 5]) == 6 assert sum_three_smallest_nums([0, 1, 2, 3, 4, 5]) == 6 ``` The function passes all the tests, so it seems to be working correctly. |
pass 测试用例：assert sum_three_smallest_nums([10,20,30,40,50,60,7]) == 37 assert sum_three_smallest_nums([1,2,3,4,5]) == 6 assert sum_three_smallest_nums([0,1,2,3,4,5]) == 6 |
| doubao | def sum_three_smallest_nums(nums): positive_nums = [num for num in nums if num > 0] positive_nums.sort() return sum(positive_nums[:3]) [DONE] |
pass 测试用例：assert sum_three_smallest_nums([10,20,30,40,50,60,7]) == 37 assert sum_three_smallest_nums([1,2,3,4,5]) == 6 assert sum_three_smallest_nums([0,1,2,3,4,5]) == 6 |
| minimax | ```python def sum_three_smallest_nums(nums): # Filter out non-positive numbers and sort the remaining numbers positive_nums = sorted(filter(lambda x: x > 0, nums)) # Sum the first three numbers if there are at least three positive numbers return sum(positive_nums[:3]) if len(positive_nums) >= 3 else sum(positive_nums) # Test cases assert sum_three_smallest_nums([10, 20, 30, 40, 50, 60, 7]) == 37 assert sum_three_smallest_nums([1, 2, 3, 4, 5]) == 6 assert sum_three_smallest_nums([0, 1, 2, 3, 4, 5]) == 6 ``` This function first filters out non-positive numbers from the list, sorts the remaining positive numbers, and then sums the first three numbers if there are at least three positive numbers. If there are fewer than three positive numbers, it sums all of them. The test cases check for the correct sum of the three smallest positive numbers. |
pass 测试用例：assert sum_three_smallest_nums([10,20,30,40,50,60,7]) == 37 assert sum_three_smallest_nums([1,2,3,4,5]) == 6 assert sum_three_smallest_nums([0,1,2,3,4,5]) == 6 |
| kimi | Here is the Python function that finds the sum of the three lowest positive numbers from a given list of numbers: ```python def sum_three_smallest_nums(nums): # Filter out non-positive numbers and sort the list positive_nums = sorted([num for num in nums if num > 0]) # Check if there are at least three positive numbers if len(positive_nums) < 3: raise ValueError("List must contain at least three positive numbers") # Return the sum of the three smallest positive numbers return sum(positive_nums[:3]) # Test cases assert sum_three_smallest_nums([10, 20, 30, 40, 50, 60, 7]) == 37 assert sum_three_smallest_nums([1, 2, 3, 4, 5]) == 6 assert sum_three_smallest_nums([0, 1, 2, 3, 4, 5]) == 6 ``` This function first filters out non-positive numbers and sorts the remaining positive numbers. Then it checks if there are at least three positive numbers. If not, it raises a `ValueError`. If there are enough positive numbers, it returns the sum of the three smallest ones. Make sure to run the test cases to validate the function. |
pass 测试用例：assert sum_three_smallest_nums([10,20,30,40,50,60,7]) == 37 assert sum_three_smallest_nums([1,2,3,4,5]) == 6 assert sum_three_smallest_nums([0,1,2,3,4,5]) == 6 |
| wenxinyiyan | Here are the solutions for the given tasks: 1. Finding similar elements from two tuple lists: ```python def similar_elements(test_tup1, test_tup2): res = tuple(set(test_tup1) & set(test_tup2)) return res ``` The function `similar_elements` takes two tuple lists as input and returns a tuple containing the similar elements from both lists. It uses the set intersection operation `&` to find the common elements and then converts the result back to a tuple. 2. Identifying non-prime numbers: ```python import math def is_not_prime(n): if n < 2: # Added to handle cases where n is less than 2 return True for i in range(2, int(math.sqrt(n)) + 1): if n % i == 0: return True return False ``` The function `is_not_prime` checks if a given number `n` is not prime. It iterates from 2 to the square root of `n` and checks if `n` is divisible by any of those numbers. If it finds a divisor, it returns `True` indicating that the number is not prime. If no divisor is found, it returns `False`. Note that I added a check for `n < 2` to handle cases where `n` is less than 2, as they are not considered prime. 3. Finding the largest integers from a list using the heap queue algorithm: ```python import heapq as hq def heap_queue_largest(nums, n): largest_nums = hq.nlargest(n, nums) return largest_nums ``` The function `heap_queue_largest` uses the `heapq.nlargest` function to find the `n` largest numbers from the given list `nums`. It returns a list containing the `n` largest numbers. 4. Finding the sum of the three lowest positive numbers from a given list: ```python def sum_three_smallest_nums(nums): # Filter out non-positive numbers positive_nums = [num for num in nums if num > 0] # Sort the positive numbers in ascending order sorted_nums = sorted(positive_nums) # Sum the three smallest positive numbers sum_smallest = sum(sorted_nums[:3]) return sum_smallest ``` The function `sum_three_smallest_nums` takes a list of numbers as input. It first filters out the non-positive numbers using a list comprehension. Then, it sorts the positive numbers in ascending order using the `sorted` function. Finally, it calculates the sum of the three smallest positive numbers by slicing the sorted list and using the `sum` function. |
failed 测试用例：assert sum_three_smallest_nums([10,20,30,40,50,60,7]) == 37 assert sum_three_smallest_nums([1,2,3,4,5]) == 6 assert sum_three_smallest_nums([0,1,2,3,4,5]) == 6 |
| zhipu | To achieve this task, we can write a function that first filters out non-positive numbers, then finds the three smallest positive numbers, and finally returns their sum. Here's the implementation: ```python def sum_three_smallest_nums(nums): # Filter out non-positive numbers positive_nums = [num for num in nums if num > 0] # Find the three smallest positive numbers three_smallest = sorted(positive_nums)[:3] # Return their sum return sum(three_smallest) # Test cases assert sum_three_smallest_nums([10, 20, 30, 40, 50, 60, 7]) == 37 assert sum_three_smallest_nums([1, 2, 3, 4, 5]) == 6 assert sum_three_smallest_nums([0, 1, 2, 3, 4, 5]) == 6 ``` This function works as follows: 1. It filters out non-positive numbers using a list comprehension. 2. It sorts the remaining positive numbers. 3. It slices the first three elements from the sorted list. 4. It returns the sum of these three numbers. You can run the provided test cases to verify that the function works correctly. |
pass 测试用例：assert sum_three_smallest_nums([10,20,30,40,50,60,7]) == 37 assert sum_three_smallest_nums([1,2,3,4,5]) == 6 assert sum_three_smallest_nums([0,1,2,3,4,5]) == 6 |
| gpto1 | ```python def sum_three_smallest_nums(lst): pos_nums = [num for num in lst if num > 0] pos_nums.sort() return sum(pos_nums[:3]) ``` |
pass 测试用例：assert sum_three_smallest_nums([10,20,30,40,50,60,7]) == 37 assert sum_three_smallest_nums([1,2,3,4,5]) == 6 assert sum_three_smallest_nums([0,1,2,3,4,5]) == 6 |
| deepseekv3 | ```python def sum_three_smallest_nums(nums): # Filter out non-positive numbers positive_nums = [num for num in nums if num > 0] # Sort the positive numbers and take the first three sorted_nums = sorted(positive_nums)[:3] # Sum the three smallest positive numbers return sum(sorted_nums) # Test cases assert sum_three_smallest_nums([10,20,30,40,50,60,7]) == 37 assert sum_three_smallest_nums([1,2,3,4,5]) == 6 assert sum_three_smallest_nums([0,1,2,3,4,5]) == 6 ``` ### Explanation: 1. **Filtering Positive Numbers**: The function first filters out non-positive numbers from the list using a list comprehension. This ensures that only positive numbers are considered. 2. **Sorting**: The positive numbers are then sorted in ascending order. 3. **Selecting the Three Smallest**: The first three numbers from the sorted list are selected, which are the smallest positive numbers. 4. **Summing**: Finally, the sum of these three numbers is calculated and returned. This approach ensures that the function correctly identifies and sums the three smallest positive numbers in the list. |
pass 测试用例：assert sum_three_smallest_nums([10,20,30,40,50,60,7]) == 37 assert sum_three_smallest_nums([1,2,3,4,5]) == 6 assert sum_three_smallest_nums([0,1,2,3,4,5]) == 6 |