| 模型 | 模型答案 | 测试结果 |
|---|---|---|
| 金声玉亮2.0 | ```python cube_nums = lambda lst: [x**3 for x in lst] ``` [DONE] |
pass 测试用例:assert cube_nums([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])==[1, 8, 27, 64, 125, 216, 343, 512, 729, 1000] assert cube_nums([10,20,30])==([1000, 8000, 27000]) assert cube_nums([12,15])==([1728, 3375]) |
| deepseekr1 | To solve this problem, we need to write a function that takes a list of numbers and returns a list of their cubes using a lambda function. This approach allows us to apply the cube operation efficiently to each element in the list. ### Approach 1. **Understanding the Problem**: The task is to compute the cube of each element in a given list of numbers. The cube of a number \( x \) is \( x^3 \), which can be calculated using a lambda function. 2. **Using Lambda and Map**: A lambda function is an anonymous function defined using the `lambda` keyword. We can use this lambda function along with the `map` function to apply the cube operation to each element in the list. The `map` function returns an iterator, so we need to convert it to a list to get the final result. 3. **Implementation Steps**: - Define the lambda function to compute the cube of a number. - Use the `map` function to apply this lambda function to each element in the input list. - Convert the result from the `map` function into a list and return it. ### Solution Code ```python def cube_nums(nums): return list(map(lambda x: x**3, nums)) ``` ### Explanation - **Lambda Function**: The lambda function `lambda x: x**3` takes a single argument `x` and returns its cube. - **Map Function**: The `map` function applies this lambda function to each element in the input list `nums`. - **Conversion to List**: Since the `map` function returns an iterator, we convert this iterator to a list using `list()` to get the final list of cubed values. This approach efficiently processes each element in the list with a time complexity of \( O(n) \), where \( n \) is the number of elements in the input list. This ensures that the function performs well even for larger lists. |
pass 测试用例:assert cube_nums([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])==[1, 8, 27, 64, 125, 216, 343, 512, 729, 1000] assert cube_nums([10,20,30])==([1000, 8000, 27000]) assert cube_nums([12,15])==([1728, 3375]) |
| gpto1 | ```python 'def cube_nums(nums): cubes = list(map(lambda x: x**3, nums)) return cubes' ``` |
failed 测试用例:assert cube_nums([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])==[1, 8, 27, 64, 125, 216, 343, 512, 729, 1000] assert cube_nums([10,20,30])==([1000, 8000, 27000]) assert cube_nums([12,15])==([1728, 3375]) |
| GPT-4o | Here's the function to find the cubes of individual elements in a list using a lambda function: ```python def cube_nums(numbers): return list(map(lambda x: x**3, numbers)) # Test cases assert cube_nums([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) == [1, 8, 27, 64, 125, 216, 343, 512, 729, 1000] assert cube_nums([10, 20, 30]) == [1000, 8000, 27000] assert cube_nums([12, 15]) == [1728, 3375] ``` This function uses the `map` function combined with a lambda function to compute the cube of each element in the input list. The result is then converted to a list and returned. |
pass 测试用例:assert cube_nums([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])==[1, 8, 27, 64, 125, 216, 343, 512, 729, 1000] assert cube_nums([10,20,30])==([1000, 8000, 27000]) assert cube_nums([12,15])==([1728, 3375]) |
| llama3.1-70B-Instruct | def cube_nums(nums): return list(map(lambda x: x**3, nums)) |
pass 测试用例:assert cube_nums([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])==[1, 8, 27, 64, 125, 216, 343, 512, 729, 1000] assert cube_nums([10,20,30])==([1000, 8000, 27000]) assert cube_nums([12,15])==([1728, 3375]) |
| llama3.1-405B-Instruct | def cube_nums(nums): return list(map(lambda x: x**3, nums)) |
pass 测试用例:assert cube_nums([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])==[1, 8, 27, 64, 125, 216, 343, 512, 729, 1000] assert cube_nums([10,20,30])==([1000, 8000, 27000]) assert cube_nums([12,15])==([1728, 3375]) |
| DeepSeek-Coder-V2 | ```python cube_nums = lambda lst: [x**3 for x in lst] ``` [DONE] |
pass 测试用例:assert cube_nums([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])==[1, 8, 27, 64, 125, 216, 343, 512, 729, 1000] assert cube_nums([10,20,30])==([1000, 8000, 27000]) assert cube_nums([12,15])==([1728, 3375]) |
| Qwen2-72B-Instruct | 'cube_nums = lambda lst: list(map(lambda x: x**3, lst))' [DONE] |
pass 测试用例:assert cube_nums([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])==[1, 8, 27, 64, 125, 216, 343, 512, 729, 1000] assert cube_nums([10,20,30])==([1000, 8000, 27000]) assert cube_nums([12,15])==([1728, 3375]) |
| baichuan4 | To find the cubes of individual elements in a list using a lambda function, you can define a function called `cube_nums` that takes a list as input and returns a new list with each element cubed. Here's the implementation: ```python def cube_nums(nums): return list(map(lambda x: x**3, nums)) ``` This function uses the `map` function along with a lambda function to calculate the cube of each element in the input list. The result is then converted to a list using the `list` function. Let's test the function with the provided test cases: ```python assert cube_nums([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) == [1, 8, 27, 64, 125, 216, 343, 512, 729, 1000] assert cube_nums([10, 20, 30]) == [1000, 8000, 27000] assert cube_nums([12, 15]) == [1728, 3375] ``` If you run the above code, you should get no assertion errors, indicating that the function passes all the tests. |
pass 测试用例:assert cube_nums([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])==[1, 8, 27, 64, 125, 216, 343, 512, 729, 1000] assert cube_nums([10,20,30])==([1000, 8000, 27000]) assert cube_nums([12,15])==([1728, 3375]) |
| doubao | 'cube_nums = lambda nums: [i**3 for i in nums]' [DONE] |
pass 测试用例:assert cube_nums([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])==[1, 8, 27, 64, 125, 216, 343, 512, 729, 1000] assert cube_nums([10,20,30])==([1000, 8000, 27000]) assert cube_nums([12,15])==([1728, 3375]) |
| minimax | ```python def cube_nums(numbers): return list(map(lambda x: x**3, numbers)) # Test cases assert cube_nums([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) == [1, 8, 27, 64, 125, 216, 343, 512, 729, 1000] assert cube_nums([10, 20, 30]) == [1000, 8000, 27000] assert cube_nums([12, 15]) == [1728, 3375] ``` [DONE] |
pass 测试用例:assert cube_nums([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])==[1, 8, 27, 64, 125, 216, 343, 512, 729, 1000] assert cube_nums([10,20,30])==([1000, 8000, 27000]) assert cube_nums([12,15])==([1728, 3375]) |
| kimi | Let's write the functions one by one as per the tasks given. 1. Function to find similar elements from two tuple lists: ```python def similar_elements(test_tup1, test_tup2): res = tuple(sorted(set(test_tup1) & set(test_tup2))) return res ``` 2. Function to identify non-prime numbers: ```python import math def is_not_prime(n): if n <= 1: return True for i in range(2, int(math.sqrt(n)) + 1): if n % i == 0: return True return False ``` 3. Function to find the largest integers from a given list of numbers using heap queue algorithm: ```python import heapq def heap_queue_largest(nums, n): largest_nums = heapq.nlargest(n, nums) return largest_nums ``` 4. Function to find cubes of individual elements in a list using lambda function: ```python def cube_nums(nums): return list(map(lambda x: x**3, nums)) ``` Now, let's test the functions to ensure they pass the given tests. ```python # Test for similar_elements function assert similar_elements((3, 4, 5, 6),(5, 7, 4, 10)) == (4, 5) assert similar_elements((1, 2, 3, 4),(5, 4, 3, 7)) == (3, 4) assert similar_elements((11, 12, 14, 13),(17, 15, 14, 13)) == (13, 14) # Test for is_not_prime function assert is_not_prime(2) == False assert is_not_prime(10) == True assert is_not_prime(35) == True # Test for heap_queue_largest function assert heap_queue_largest([25, 35, 22, 85, 14, 65, 75, 22, 58], 3) == [85, 75, 65] assert heap_queue_largest([25, 35, 22, 85, 14, 65, 75, 22, 58], 2) == [85, 75] assert heap_queue_largest([25, 35, 22, 85, 14, 65, 75, 22, 58], 5) == [85, 75, 65, 58, 35] # Test for cube_nums function assert cube_nums([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) == [1, 8, 27, 64, 125, 216, 343, 512, 729, 1000] assert cube_nums([10, 20, 30]) == [1000, 8000, 27000] assert cube_nums([12, 15]) == [1728, 3375] ``` If you run these tests, they should all pass without any assertion errors. |
failed 测试用例:assert cube_nums([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])==[1, 8, 27, 64, 125, 216, 343, 512, 729, 1000] assert cube_nums([10,20,30])==([1000, 8000, 27000]) assert cube_nums([12,15])==([1728, 3375]) |
| wenxinyiyan | 'def cube_nums(lst):
return list(map(lambda x: x**3, lst))' [DONE] Explanation: The `cube_nums` function takes a list `lst` as input. It uses the `map` function to apply a lambda function to each element of the list. The lambda function takes an element `x` and returns its cube (`x**3`). Finally, the resulting map object is converted to a list and returned. This code will pass the given tests because it correctly computes the cubes of the individual elements in the input lists. For example, in the first test, the input list is `[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]`, and the expected output is `[1, 8, 27, 64, 125, 216, 343, 512, 729, 1000]`, which are the cubes of the corresponding elements in the input list. The code correctly produces this output. |
pass 测试用例:assert cube_nums([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])==[1, 8, 27, 64, 125, 216, 343, 512, 729, 1000] assert cube_nums([10,20,30])==([1000, 8000, 27000]) assert cube_nums([12,15])==([1728, 3375]) |
| zhipu | Here's a Python function that uses a lambda function to find the cubes of individual elements in a list. This function should pass the provided tests: ```python def cube_nums(nums): return list(map(lambda x: x**3, nums)) # Test cases assert cube_nums([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) == [1, 8, 27, 64, 125, 216, 343, 512, 729, 1000] assert cube_nums([10, 20, 30]) == [1000, 8000, 27000] assert cube_nums([12, 15]) == [1728, 3375] ``` ### Explanation: 1. **Function Definition**: - `def cube_nums(nums)`: Defines a function `cube_nums` that takes a list `nums` as input. 2. **Lambda Function**: - `lambda x: x**3`: A lambda function that takes an element `x` and returns its cube `x**3`. 3. **Map Function**: - `map(lambda x: x**3, nums)`: Applies the lambda function to each element in the list `nums`. 4. **List Conversion**: - `list(...)`: Converts the map object to a list. This function should work correctly for the given test cases. Each test case asserts that the function returns the correct list of cubed values. |
pass 测试用例:assert cube_nums([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])==[1, 8, 27, 64, 125, 216, 343, 512, 729, 1000] assert cube_nums([10,20,30])==([1000, 8000, 27000]) assert cube_nums([12,15])==([1728, 3375]) |
| gpto1 | ```python 'def cube_nums(nums): cubes = list(map(lambda x: x**3, nums)) return cubes' ``` |
failed 测试用例:assert cube_nums([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])==[1, 8, 27, 64, 125, 216, 343, 512, 729, 1000] assert cube_nums([10,20,30])==([1000, 8000, 27000]) assert cube_nums([12,15])==([1728, 3375]) |
| deepseekv3 | To solve the task of finding cubes of individual elements in a list using a lambda function, you can use the `map` function along with a lambda expression. Here's the Python function that accomplishes this: ```python def cube_nums(nums): return list(map(lambda x: x ** 3, nums)) # Test cases assert cube_nums([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) == [1, 8, 27, 64, 125, 216, 343, 512, 729, 1000] assert cube_nums([10, 20, 30]) == [1000, 8000, 27000] assert cube_nums([12, 15]) == [1728, 3375] ``` ### Explanation: 1. **Lambda Function**: The lambda function `lambda x: x ** 3` takes an input `x` and returns its cube. 2. **Map Function**: The `map` function applies this lambda function to each element in the list `nums`. 3. **Conversion to List**: The result of `map` is a map object, which is then converted to a list using `list()`. This function efficiently computes the cubes of all elements in the list and returns the result as a new list. |
pass 测试用例:assert cube_nums([1, 2, 3, 4, 5, 6, 7, 8, 9, 10])==[1, 8, 27, 64, 125, 216, 343, 512, 729, 1000] assert cube_nums([10,20,30])==([1000, 8000, 27000]) assert cube_nums([12,15])==([1728, 3375]) |