| 模型 | 模型答案 | 测试结果 |
|---|---|---|
| 金声玉亮2.0 | ```python def tetrahedral_number(n): return n * (n + 1) * (n + 2) / 6.0 ``` [DONE] |
pass 测试用例:assert tetrahedral_number(5) == 35.0 assert tetrahedral_number(6) == 56.0 assert tetrahedral_number(7) == 84.0 |
| deepseekr1 | To solve this problem, we need to compute the nth tetrahedral number. A tetrahedral number is a figurate number that represents a pyramid with a triangular base and three sides, called a tetrahedron. The nth tetrahedral number is the sum of the first n triangular numbers. The formula for the nth tetrahedral number is derived from the combination of these triangular numbers. ### Approach The nth tetrahedral number can be directly computed using the formula: \[ T_n = \frac{n \times (n + 1) \times (n + 2)}{6} \] This formula efficiently calculates the tetrahedral number by leveraging the mathematical properties of triangular numbers and their summation. The division by 6 ensures the result is an integer when considering valid inputs, but in Python, using the division operator `/` will return a float, which matches the required output format. ### Solution Code ```python def tetrahedral_number(n): return (n * (n + 1) * (n + 2)) / 6 ``` ### Explanation 1. **Formula Application**: The function applies the formula \( \frac{n \times (n + 1) \times (n + 2)}{6} \) to compute the nth tetrahedral number. This formula is derived from the summation of the first n triangular numbers. 2. **Return Type**: The division operation in Python using `/` returns a float, which is appropriate here as the problem's test cases expect results in float format (e.g., 35.0 instead of 35). This approach is efficient with a time complexity of O(1) since it involves a constant number of arithmetic operations, making it optimal for any valid input n. |
pass 测试用例:assert tetrahedral_number(5) == 35.0 assert tetrahedral_number(6) == 56.0 assert tetrahedral_number(7) == 84.0 |
| gpto1 | [BEGIN] 'def tetrahedral_number(n): return n * (n + 1) * (n + 2) / 6.0' [DONE] |
pass 测试用例:assert tetrahedral_number(5) == 35.0 assert tetrahedral_number(6) == 56.0 assert tetrahedral_number(7) == 84.0 |
| GPT-4o | Sure, let's define a function to find the \( n \)th tetrahedral number. The \( n \)th tetrahedral number \( T_n \) can be calculated using the formula: \[ T_n = \frac{n \cdot (n+1) \cdot (n+2)}{6} \] Here is the function to find the \( n \)th tetrahedral number: ```python def tetrahedral_number(n): return n * (n + 1) * (n + 2) / 6 # Test cases assert tetrahedral_number(5) == 35.0 assert tetrahedral_number(6) == 56.0 assert tetrahedral_number(7) == 84.0 ``` This function uses the formula directly and returns the result. The test cases provided should pass successfully. |
pass 测试用例:assert tetrahedral_number(5) == 35.0 assert tetrahedral_number(6) == 56.0 assert tetrahedral_number(7) == 84.0 |
| llama3.1-70B-Instruct | def tetrahedral_number(n): return (n*(n+1)*(n+2))/6 |
pass 测试用例:assert tetrahedral_number(5) == 35.0 assert tetrahedral_number(6) == 56.0 assert tetrahedral_number(7) == 84.0 |
| llama3.1-405B-Instruct | def tetrahedral_number(n): return (n * (n + 1) * (n + 2)) / 6 |
pass 测试用例:assert tetrahedral_number(5) == 35.0 assert tetrahedral_number(6) == 56.0 assert tetrahedral_number(7) == 84.0 |
| DeepSeek-Coder-V2 | ```python def tetrahedral_number(n): return n * (n + 1) * (n + 2) / 6.0 ``` [DONE] |
pass 测试用例:assert tetrahedral_number(5) == 35.0 assert tetrahedral_number(6) == 56.0 assert tetrahedral_number(7) == 84.0 |
| Qwen2-72B-Instruct | 'def tetrahedral_number(n): return (n*(n+1)*(n+2))/6' [DONE] |
pass 测试用例:assert tetrahedral_number(5) == 35.0 assert tetrahedral_number(6) == 56.0 assert tetrahedral_number(7) == 84.0 |
| baichuan4 | To find the nth tetrahedral number, you can use the formula: T(n) = n * (n + 1) * (n + 2) / 6. Here's the Python function that implements this formula: ```python def tetrahedral_number(n): return n * (n + 1) * (n + 2) / 6 ``` This function should pass the tests you provided: ```python assert tetrahedral_number(5) == 35.0 assert tetrahedral_number(6) == 56.0 assert tetrahedral_number(7) == 84.0 ``` The function calculates the nth tetrahedral number by plugging the value of n into the formula and returning the result. |
pass 测试用例:assert tetrahedral_number(5) == 35.0 assert tetrahedral_number(6) == 56.0 assert tetrahedral_number(7) == 84.0 |
| doubao | 'def tetrahedral_number(n): return (n * (n + 1) * (n + 2)) / 6' [DONE] |
pass 测试用例:assert tetrahedral_number(5) == 35.0 assert tetrahedral_number(6) == 56.0 assert tetrahedral_number(7) == 84.0 |
| minimax | ```python def tetrahedral_number(n): return n * (n + 1) * (n + 2) / 6 # Test cases assert tetrahedral_number(5) == 35.0 assert tetrahedral_number(6) == 56.0 assert tetrahedral_number(7) == 84.0 ``` This function calculates the nth tetrahedral number using the formula `n * (n + 1) * (n + 2) / 6`, which is derived from the sum of the first n triangular numbers. The test cases check if the function correctly computes the tetrahedral numbers for the given inputs. |
pass 测试用例:assert tetrahedral_number(5) == 35.0 assert tetrahedral_number(6) == 56.0 assert tetrahedral_number(7) == 84.0 |
| kimi | Sure, let's tackle each task one by one. 1. **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. **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. **Find the largest integers from a given list using heap queue algorithm:** ```python import heapq def heap_queue_largest(nums, n): largest_nums = heapq.nlargest(n, nums) return largest_nums ``` 4. **Find the nth tetrahedral number:** A tetrahedral number is given by the formula: T(n) = (n * (n + 1) * (n + 2)) / 6 ```python def tetrahedral_number(n): return (n * (n + 1) * (n + 2)) / 6 ``` Now, let's test each function to ensure they work correctly. ```python # Test 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 is_not_prime function assert is_not_prime(2) == False assert is_not_prime(10) == True assert is_not_prime(35) == True # Test 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 tetrahedral_number function assert tetrahedral_number(5) == 35.0 assert tetrahedral_number(6) == 56.0 assert tetrahedral_number(7) == 84.0 ``` If all tests pass, it means the functions are implemented correctly. |
failed 测试用例:assert tetrahedral_number(5) == 35.0 assert tetrahedral_number(6) == 56.0 assert tetrahedral_number(7) == 84.0 |
| wenxinyiyan | 'def tetrahedral_number(n): return (n * (n + 1) * (n + 2)) / 6.0' [DONE] Explanation: The nth tetrahedral number is a special kind of figurate number that represents the sum of the first n triangular numbers. Mathematically, it can be expressed as the formula: Tetrahedral_number(n) = (n * (n + 1) * (n + 2)) / 6 The given function `tetrahedral_number` takes an integer `n` as input and returns the nth tetrahedral number using the above formula. The division by 6.0 ensures that the result is a floating-point number. The provided test cases check the function's output for specific values of `n` (5, 6, and 7) and assert that the expected tetrahedral numbers (35.0, 56.0, and 84.0, respectively) are returned correctly. |
pass 测试用例:assert tetrahedral_number(5) == 35.0 assert tetrahedral_number(6) == 56.0 assert tetrahedral_number(7) == 84.0 |
| zhipu | To find the nth tetrahedral number, we can use the formula: \[ T_n = \frac{n(n+1)(n+2)}{6} \] Here's the Python function to calculate the nth tetrahedral number: ```python def tetrahedral_number(n): return (n * (n + 1) * (n + 2)) / 6 # Test cases assert tetrahedral_number(5) == 35.0 assert tetrahedral_number(6) == 56.0 assert tetrahedral_number(7) == 84.0 ``` This function calculates the nth tetrahedral number using the formula and returns the result as a float. The test cases provided will pass, confirming the correctness of the function. If you prefer the output to be an integer, you can modify the function to cast the result to an integer: ```python def tetrahedral_number(n): return int((n * (n + 1) * (n + 2)) / 6) # Test cases assert tetrahedral_number(5) == 35 assert tetrahedral_number(6) == 56 assert tetrahedral_number(7) == 84 ``` However, the original test cases expect the result to be a float, so the first version is more appropriate in this context. |
pass 测试用例:assert tetrahedral_number(5) == 35.0 assert tetrahedral_number(6) == 56.0 assert tetrahedral_number(7) == 84.0 |
| gpto1 | [BEGIN] 'def tetrahedral_number(n): return n * (n + 1) * (n + 2) / 6.0' [DONE] |
pass 测试用例:assert tetrahedral_number(5) == 35.0 assert tetrahedral_number(6) == 56.0 assert tetrahedral_number(7) == 84.0 |
| deepseekv3 | To find the nth tetrahedral number, we can use the formula for the tetrahedral number, which is given by: \[ T_n = \frac{n(n+1)(n+2)}{6} \] Here’s a Python function that implements this formula: ```python def tetrahedral_number(n): return n * (n + 1) * (n + 2) / 6 ``` This function takes an integer `n` as input and returns the nth tetrahedral number as a float. Let's verify that it passes the provided test cases: ```python assert tetrahedral_number(5) == 35.0 assert tetrahedral_number(6) == 56.0 assert tetrahedral_number(7) == 84.0 ``` All the assertions pass, so the function works as expected. |
pass 测试用例:assert tetrahedral_number(5) == 35.0 assert tetrahedral_number(6) == 56.0 assert tetrahedral_number(7) == 84.0 |