金声玉亮2.0模型评测报告

问题

You are an expert Python programmer, and here is your task: Write a function to find the similar elements from the given two tuple lists. Your code should pass these tests:

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)

[BEGIN]
'def similar_elements(test_tup1, test_tup2):
res = tuple(set(test_tup1) & set(test_tup2))
return (res)'
[DONE]

You are an expert Python programmer, and here is your task: Write a python function to identify non-prime numbers. Your code should pass these tests:

assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

[BEGIN]
'import math
def is_not_prime(n):
result = False
for i in range(2,int(math.sqrt(n)) + 1):
if n % i == 0:
result = True
return result'
[DONE]

You are an expert Python programmer, and here is your task: Write a function to find the largest integers from a given list of numbers using heap queue algorithm. Your code should pass these tests:

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]

[BEGIN]
'import heapq as hq
def heap_queue_largest(nums,n):
largest_nums = hq.nlargest(n, nums)
return largest_nums'
[DONE]

You are an expert Python programmer, and here is your task: Write a function to sort a list of lists by a given index of the inner list. Your code should pass these tests:

assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,0)==[('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99), ('Wyatt Knott', 91, 94)]
assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,1)==[('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99)]
assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,2)==[('Wyatt Knott', 91, 94), ('Brady Kent', 97, 96), ('Beau Turnbull', 94, 98), ('Greyson Fulton', 98, 99)]

[BEGIN]

答案

模型	模型答案	测试结果
金声玉亮2.0	```python def index_on_inner_list(lst, index): return sorted(lst, key=lambda x: x[index]) ``` [DONE]	pass 测试用例：assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,0)==[('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99), ('Wyatt Knott', 91, 94)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,1)==[('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,2)==[('Wyatt Knott', 91, 94), ('Brady Kent', 97, 96), ('Beau Turnbull', 94, 98), ('Greyson Fulton', 98, 99)]
deepseekr1	[BEGIN] def index_on_inner_list(lst, index): return sorted(lst, key=lambda x: x[index]) [DONE]	pass 测试用例：assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,0)==[('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99), ('Wyatt Knott', 91, 94)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,1)==[('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,2)==[('Wyatt Knott', 91, 94), ('Brady Kent', 97, 96), ('Beau Turnbull', 94, 98), ('Greyson Fulton', 98, 99)]
gpto1	```python def index_on_inner_list(input_list, index): return sorted(input_list, key=lambda x: x[index]) ```	pass 测试用例：assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,0)==[('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99), ('Wyatt Knott', 91, 94)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,1)==[('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,2)==[('Wyatt Knott', 91, 94), ('Brady Kent', 97, 96), ('Beau Turnbull', 94, 98), ('Greyson Fulton', 98, 99)]
GPT-4o	```python def index_on_inner_list(lst, index): return sorted(lst, key=lambda x: x[index]) ``` Explanation: - The function `index_on_inner_list` takes a list of lists (or tuples) `lst` and an integer `index`. - The `sorted` function is used to sort the list `lst`. - The `key` parameter of `sorted` is set to a lambda function that extracts the element at the specified `index` from each inner list (or tuple). - The function returns the sorted list. Testing the function with the given test cases: ```python assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,0) == [('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99), ('Wyatt Knott', 91, 94)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,1) == [('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,2) == [('Wyatt Knott', 91, 94), ('Brady Kent', 97, 96), ('Beau Turnbull', 94, 98), ('Greyson Fulton', 98, 99)] ``` All tests should pass, confirming that the function works as expected.	pass 测试用例：assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,0)==[('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99), ('Wyatt Knott', 91, 94)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,1)==[('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,2)==[('Wyatt Knott', 91, 94), ('Brady Kent', 97, 96), ('Beau Turnbull', 94, 98), ('Greyson Fulton', 98, 99)]
llama3.1-70B-Instruct	def index_on_inner_list(lists, index): return sorted(lists, key=lambda x: x[index])	pass 测试用例：assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,0)==[('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99), ('Wyatt Knott', 91, 94)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,1)==[('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,2)==[('Wyatt Knott', 91, 94), ('Brady Kent', 97, 96), ('Beau Turnbull', 94, 98), ('Greyson Fulton', 98, 99)]
llama3.1-405B-Instruct	def index_on_inner_list(lst, index): return sorted(lst, key=lambda x: x[index])	pass 测试用例：assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,0)==[('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99), ('Wyatt Knott', 91, 94)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,1)==[('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,2)==[('Wyatt Knott', 91, 94), ('Brady Kent', 97, 96), ('Beau Turnbull', 94, 98), ('Greyson Fulton', 98, 99)]
DeepSeek-Coder-V2	```python def index_on_inner_list(lst, index): return sorted(lst, key=lambda x: x[index]) ``` [DONE]	pass 测试用例：assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,0)==[('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99), ('Wyatt Knott', 91, 94)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,1)==[('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,2)==[('Wyatt Knott', 91, 94), ('Brady Kent', 97, 96), ('Beau Turnbull', 94, 98), ('Greyson Fulton', 98, 99)]
Qwen2-72B-Instruct	'def index_on_inner_list(lst, index): return sorted(lst, key=lambda x: x[index])' [DONE]	pass 测试用例：assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,0)==[('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99), ('Wyatt Knott', 91, 94)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,1)==[('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,2)==[('Wyatt Knott', 91, 94), ('Brady Kent', 97, 96), ('Beau Turnbull', 94, 98), ('Greyson Fulton', 98, 99)]
baichuan4	To sort a list of lists by a given index of the inner list, you can use the `sort` method with a custom key. Here's the function that does that: ```python def index_on_inner_list(lst_of_lsts, index): # Sort the list of lists based on the index provided lst_of_lsts.sort(key=lambda x: x[index]) return lst_of_lsts ``` This function takes a list of lists `lst_of_lsts` and an integer `index`, then sorts the list based on the values at the specified index of each inner list. Let's test it with your provided test cases: ```python # Test cases test_cases = [ ([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)], 0), ([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)], 1), ([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)], 2), ] # Run the test cases for lst_of_lsts, idx in test_cases: sorted_lst = index_on_inner_list(lst_of_lsts, idx) print(f"Sorted by index {idx}: {sorted_lst}") ``` Expected output: ``` Sorted by index 0: [('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99), ('Wyatt Knott', 91, 94)] Sorted by index 1: [('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99)] Sorted by index 2: [('Wyatt Knott', 91, 94), ('Brady Kent', 97, 96), ('Beau Turnbull', 94, 98), ('Greyson Fulton', 98, 99)] ``` This function will correctly sort the list of lists based on the specified index of the inner lists, as demonstrated by the test cases.	pass 测试用例：assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,0)==[('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99), ('Wyatt Knott', 91, 94)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,1)==[('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,2)==[('Wyatt Knott', 91, 94), ('Brady Kent', 97, 96), ('Beau Turnbull', 94, 98), ('Greyson Fulton', 98, 99)]
doubao	'from operator import itemgetter def index_on_inner_list(lst, index): return sorted(lst, key=itemgetter(index))' [DONE]	pass 测试用例：assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,0)==[('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99), ('Wyatt Knott', 91, 94)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,1)==[('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,2)==[('Wyatt Knott', 91, 94), ('Brady Kent', 97, 96), ('Beau Turnbull', 94, 98), ('Greyson Fulton', 98, 99)]
minimax	```python def index_on_inner_list(list_of_lists, index): return sorted(list_of_lists, key=lambda x: x[index]) # Test cases assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)], 0) == [('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99), ('Wyatt Knott', 91, 94)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)], 1) == [('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)], 2) == [('Wyatt Knott', 91, 94), ('Brady Kent', 97, 96), ('Beau Turnbull', 94, 98), ('Greyson Fulton', 98, 99)] ``` This function `index_on_inner_list` takes a list of lists and an index, and returns a new list sorted by the elements at the given index of the inner lists. The `sorted` function is used with a `key` argument that specifies a function of one argument that is used to extract a comparison key from each list element. In this case, the lambda function `lambda x: x[index]` is used to extract the element at the specified index for sorting.	pass 测试用例：assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,0)==[('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99), ('Wyatt Knott', 91, 94)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,1)==[('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,2)==[('Wyatt Knott', 91, 94), ('Brady Kent', 97, 96), ('Beau Turnbull', 94, 98), ('Greyson Fulton', 98, 99)]
kimi	Here is the Python code for each task: 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 sort a list of lists by a given index of the inner list: ```python def index_on_inner_list(list_of_lists, index): return sorted(list_of_lists, key=lambda x: x[index]) ``` Each function is designed to pass the tests you provided.	failed 测试用例：assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,0)==[('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99), ('Wyatt Knott', 91, 94)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,1)==[('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,2)==[('Wyatt Knott', 91, 94), ('Brady Kent', 97, 96), ('Beau Turnbull', 94, 98), ('Greyson Fulton', 98, 99)]
wenxinyiyan	'def index_on_inner_list(lst, idx): return sorted(lst, key=lambda x: x[idx])' [DONE] Explanation: The `index_on_inner_list` function takes a list of lists (or in this case, a list of tuples, which are similar to lists in that they can be indexed) and an index `idx`. The function then uses the `sorted` function with a `key` parameter to sort the list based on the value at the given index in each inner list/tuple. The `lambda` function is used to specify the sorting key, which is simply the value at the given index `x[idx]`. Note: The provided tests use tuples instead of lists for the inner elements, but the function works the same way for both because tuples are also indexable. Additionally, here are the corrected versions of the previous functions with explanations: 1. `similar_elements`: This function takes two tuple lists and returns a tuple containing the elements that are common to both lists. It uses set intersection (`&`) to find the common elements efficiently. ```python def similar_elements(test_tup1, test_tup2): res = tuple(set(test_tup1) & set(test_tup2)) return res ``` No changes were needed for this function; it should work correctly as provided. 2. `is_not_prime`: This function checks whether 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 is, the function returns `True`, indicating that `n` is not prime. Otherwise, it returns `False`. ```python import math def is_not_prime(n): if n <= 1: # Added check for numbers less than or equal to 1 return True for i in range(2, int(math.sqrt(n)) + 1): if n % i == 0: return True return False ``` I added a check for numbers less than or equal to 1 because they are not considered prime. Without this check, the function would incorrectly return `False` for `is_not_prime(0)` or `is_not_prime(1)`. 3. `heap_queue_largest`: This function uses the `heapq.nlargest` function from the `heapq` module to find the `n` largest numbers in a given list `nums`. It returns a list containing the `n` largest numbers. ```python import heapq as hq def heap_queue_largest(nums, n): largest_nums = hq.nlargest(n, nums) return largest_nums ``` No changes were needed for this function; it should work correctly as provided. However, note that the function name suggests it uses a heap queue algorithm, but internally it relies on the `heapq.nlargest` function, which may or may not use a heap queue under the hood (the implementation is not specified in the Python documentation). If you want to implement the heap queue algorithm yourself, you would need to write a more complex function using the `heapq` module's other functions like `heapify` and `heappop`. But for the given task, using `nlargest` is sufficient and efficient.	failed 测试用例：assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,0)==[('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99), ('Wyatt Knott', 91, 94)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,1)==[('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,2)==[('Wyatt Knott', 91, 94), ('Brady Kent', 97, 96), ('Beau Turnbull', 94, 98), ('Greyson Fulton', 98, 99)]
zhipu	To achieve the task of sorting a list of lists by a given index of the inner list, you can use Python's built-in `sorted` function along with a lambda function to specify the index to sort by. Here's the implementation of the `index_on_inner_list` function: ```python def index_on_inner_list(list_of_lists, index): return sorted(list_of_lists, key=lambda x: x[index]) # Test cases assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)], 0) == [('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99), ('Wyatt Knott', 91, 94)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)], 1) == [('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)], 2) == [('Wyatt Knott', 91, 94), ('Brady Kent', 97, 96), ('Beau Turnbull', 94, 98), ('Greyson Fulton', 98, 99)] print("All tests passed!") ``` ### Explanation: 1. Function Definition: The function `index_on_inner_list` takes two parameters: `list_of_lists` (a list of lists) and `index` (the index of the inner list by which to sort). 2. Sorting: The `sorted` function is used to sort the `list_of_lists`. The `key` parameter of the `sorted` function is set to a lambda function `lambda x: x[index]`, which extracts the element at the specified `index` from each inner list. 3. Return Value: The sorted list is returned. ### Test Cases: - The provided test cases check if the function correctly sorts the list of lists by the specified index. This implementation should pass all the given test cases.	pass 测试用例：assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,0)==[('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99), ('Wyatt Knott', 91, 94)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,1)==[('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,2)==[('Wyatt Knott', 91, 94), ('Brady Kent', 97, 96), ('Beau Turnbull', 94, 98), ('Greyson Fulton', 98, 99)]
gpto1	```python def index_on_inner_list(input_list, index): return sorted(input_list, key=lambda x: x[index]) ```	pass 测试用例：assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,0)==[('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99), ('Wyatt Knott', 91, 94)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,1)==[('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,2)==[('Wyatt Knott', 91, 94), ('Brady Kent', 97, 96), ('Beau Turnbull', 94, 98), ('Greyson Fulton', 98, 99)]
deepseekv3	To sort a list of lists (or tuples) by a specified index of the inner list, you can use the `sorted` function with a custom key. Here's how you can implement the `index_on_inner_list` function: ```python def index_on_inner_list(lst, index): return sorted(lst, key=lambda x: x[index]) ``` ### Explanation: - The `sorted` function sorts the elements of `lst`. - The `key` parameter specifies a function of one argument that is used to extract a comparison key from each element in `lst`. - The lambda function `lambda x: x[index]` extracts the element at the specified `index` from each inner list (or tuple) `x`. ### Test Cases: ```python assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)], 0) == [('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99), ('Wyatt Knott', 91, 94)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)], 1) == [('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)], 2) == [('Wyatt Knott', 91, 94), ('Brady Kent', 97, 96), ('Beau Turnbull', 94, 98), ('Greyson Fulton', 98, 99)] ``` This function will correctly sort the list of tuples based on the specified index of the inner tuple.	pass 测试用例：assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,0)==[('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99), ('Wyatt Knott', 91, 94)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,1)==[('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99)] assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,2)==[('Wyatt Knott', 91, 94), ('Brady Kent', 97, 96), ('Beau Turnbull', 94, 98), ('Greyson Fulton', 98, 99)]

模型

模型答案

测试结果

金声玉亮2.0

```python
def index_on_inner_list(lst, index):
return sorted(lst, key=lambda x: x[index])
```
[DONE]

pass
测试用例：assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,0)==[('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99), ('Wyatt Knott', 91, 94)]
assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,1)==[('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99)]
assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,2)==[('Wyatt Knott', 91, 94), ('Brady Kent', 97, 96), ('Beau Turnbull', 94, 98), ('Greyson Fulton', 98, 99)]

deepseekr1

[BEGIN]
def index_on_inner_list(lst, index):
return sorted(lst, key=lambda x: x[index])
[DONE]

gpto1

```python
def index_on_inner_list(input_list, index):
return sorted(input_list, key=lambda x: x[index])
```

GPT-4o

```python
def index_on_inner_list(lst, index):
return sorted(lst, key=lambda x: x[index])
```

Explanation:
- The function `index_on_inner_list` takes a list of lists (or tuples) `lst` and an integer `index`.
- The `sorted` function is used to sort the list `lst`.
- The `key` parameter of `sorted` is set to a lambda function that extracts the element at the specified `index` from each inner list (or tuple).
- The function returns the sorted list.

Testing the function with the given test cases:

```python
assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,0) == [('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99), ('Wyatt Knott', 91, 94)]
assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,1) == [('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99)]
assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,2) == [('Wyatt Knott', 91, 94), ('Brady Kent', 97, 96), ('Beau Turnbull', 94, 98), ('Greyson Fulton', 98, 99)]
```

All tests should pass, confirming that the function works as expected.

llama3.1-70B-Instruct

def index_on_inner_list(lists, index):
return sorted(lists, key=lambda x: x[index])

llama3.1-405B-Instruct

def index_on_inner_list(lst, index):
return sorted(lst, key=lambda x: x[index])

DeepSeek-Coder-V2

```python
def index_on_inner_list(lst, index):
return sorted(lst, key=lambda x: x[index])
```
[DONE]

Qwen2-72B-Instruct

'def index_on_inner_list(lst, index):
return sorted(lst, key=lambda x: x[index])'
[DONE]

baichuan4

To sort a list of lists by a given index of the inner list, you can use the `sort` method with a custom key. Here's the function that does that:

```python
def index_on_inner_list(lst_of_lsts, index):
# Sort the list of lists based on the index provided
lst_of_lsts.sort(key=lambda x: x[index])
return lst_of_lsts
```

This function takes a list of lists `lst_of_lsts` and an integer `index`, then sorts the list based on the values at the specified index of each inner list.

Let's test it with your provided test cases:

```python
# Test cases
test_cases = [
([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)], 0),
([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)], 1),
([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)], 2),
]

# Run the test cases
for lst_of_lsts, idx in test_cases:
sorted_lst = index_on_inner_list(lst_of_lsts, idx)
print(f"Sorted by index {idx}: {sorted_lst}")
```

Expected output:

```
Sorted by index 0: [('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99), ('Wyatt Knott', 91, 94)]
Sorted by index 1: [('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99)]
Sorted by index 2: [('Wyatt Knott', 91, 94), ('Brady Kent', 97, 96), ('Beau Turnbull', 94, 98), ('Greyson Fulton', 98, 99)]
```

This function will correctly sort the list of lists based on the specified index of the inner lists, as demonstrated by the test cases.

doubao

'from operator import itemgetter
def index_on_inner_list(lst, index):
return sorted(lst, key=itemgetter(index))'
[DONE]

minimax

```python
def index_on_inner_list(list_of_lists, index):
return sorted(list_of_lists, key=lambda x: x[index])

# Test cases
assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)], 0) == [('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99), ('Wyatt Knott', 91, 94)]
assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)], 1) == [('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99)]
assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)], 2) == [('Wyatt Knott', 91, 94), ('Brady Kent', 97, 96), ('Beau Turnbull', 94, 98), ('Greyson Fulton', 98, 99)]
```

This function `index_on_inner_list` takes a list of lists and an index, and returns a new list sorted by the elements at the given index of the inner lists. The `sorted` function is used with a `key` argument that specifies a function of one argument that is used to extract a comparison key from each list element. In this case, the lambda function `lambda x: x[index]` is used to extract the element at the specified index for sorting.

kimi

Here is the Python code for each task:

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 sort a list of lists by a given index of the inner list:

```python
def index_on_inner_list(list_of_lists, index):
return sorted(list_of_lists, key=lambda x: x[index])
```

Each function is designed to pass the tests you provided.

failed
测试用例：assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,0)==[('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99), ('Wyatt Knott', 91, 94)]
assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,1)==[('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99)]
assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)] ,2)==[('Wyatt Knott', 91, 94), ('Brady Kent', 97, 96), ('Beau Turnbull', 94, 98), ('Greyson Fulton', 98, 99)]

wenxinyiyan

'def index_on_inner_list(lst, idx):
return sorted(lst, key=lambda x: x[idx])'
[DONE]

Explanation:
The `index_on_inner_list` function takes a list of lists (or in this case, a list of tuples, which are similar to lists in that they can be indexed) and an index `idx`. The function then uses the `sorted` function with a `key` parameter to sort the list based on the value at the given index in each inner list/tuple. The `lambda` function is used to specify the sorting key, which is simply the value at the given index `x[idx]`.

Note: The provided tests use tuples instead of lists for the inner elements, but the function works the same way for both because tuples are also indexable.

Additionally, here are the corrected versions of the previous functions with explanations:

1. `similar_elements`:
This function takes two tuple lists and returns a tuple containing the elements that are common to both lists. It uses set intersection (`&`) to find the common elements efficiently.

```python
def similar_elements(test_tup1, test_tup2):
res = tuple(set(test_tup1) & set(test_tup2))
return res
```
No changes were needed for this function; it should work correctly as provided.

2. `is_not_prime`:
This function checks whether 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 is, the function returns `True`, indicating that `n` is not prime. Otherwise, it returns `False`.

```python
import math

def is_not_prime(n):
if n <= 1: # Added check for numbers less than or equal to 1
return True
for i in range(2, int(math.sqrt(n)) + 1):
if n % i == 0:
return True
return False
```
I added a check for numbers less than or equal to 1 because they are not considered prime. Without this check, the function would incorrectly return `False` for `is_not_prime(0)` or `is_not_prime(1)`.

3. `heap_queue_largest`:
This function uses the `heapq.nlargest` function from the `heapq` module to find the `n` largest numbers in a given list `nums`. It returns a list containing the `n` largest numbers.

```python
import heapq as hq

def heap_queue_largest(nums, n):
largest_nums = hq.nlargest(n, nums)
return largest_nums
```
No changes were needed for this function; it should work correctly as provided. However, note that the function name suggests it uses a heap queue algorithm, but internally it relies on the `heapq.nlargest` function, which may or may not use a heap queue under the hood (the implementation is not specified in the Python documentation). If you want to implement the heap queue algorithm yourself, you would need to write a more complex function using the `heapq` module's other functions like `heapify` and `heappop`. But for the given task, using `nlargest` is sufficient and efficient.

zhipu

To achieve the task of sorting a list of lists by a given index of the inner list, you can use Python's built-in `sorted` function along with a lambda function to specify the index to sort by. Here's the implementation of the `index_on_inner_list` function:

```python
def index_on_inner_list(list_of_lists, index):
return sorted(list_of_lists, key=lambda x: x[index])

# Test cases
assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)], 0) == [('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99), ('Wyatt Knott', 91, 94)]
assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)], 1) == [('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99)]
assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)], 2) == [('Wyatt Knott', 91, 94), ('Brady Kent', 97, 96), ('Beau Turnbull', 94, 98), ('Greyson Fulton', 98, 99)]

print("All tests passed!")
```

### Explanation:
1. **Function Definition**: The function `index_on_inner_list` takes two parameters: `list_of_lists` (a list of lists) and `index` (the index of the inner list by which to sort).
2. **Sorting**: The `sorted` function is used to sort the `list_of_lists`. The `key` parameter of the `sorted` function is set to a lambda function `lambda x: x[index]`, which extracts the element at the specified `index` from each inner list.
3. **Return Value**: The sorted list is returned.

### Test Cases:
- The provided test cases check if the function correctly sorts the list of lists by the specified index.

This implementation should pass all the given test cases.

gpto1

```python
def index_on_inner_list(input_list, index):
return sorted(input_list, key=lambda x: x[index])
```

deepseekv3

To sort a list of lists (or tuples) by a specified index of the inner list, you can use the `sorted` function with a custom key. Here's how you can implement the `index_on_inner_list` function:

```python
def index_on_inner_list(lst, index):
return sorted(lst, key=lambda x: x[index])
```

### Explanation:
- The `sorted` function sorts the elements of `lst`.
- The `key` parameter specifies a function of one argument that is used to extract a comparison key from each element in `lst`.
- The lambda function `lambda x: x[index]` extracts the element at the specified `index` from each inner list (or tuple) `x`.

### Test Cases:
```python
assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)], 0) == [('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99), ('Wyatt Knott', 91, 94)]
assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)], 1) == [('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98), ('Brady Kent', 97, 96), ('Greyson Fulton', 98, 99)]
assert index_on_inner_list([('Greyson Fulton', 98, 99), ('Brady Kent', 97, 96), ('Wyatt Knott', 91, 94), ('Beau Turnbull', 94, 98)], 2) == [('Wyatt Knott', 91, 94), ('Brady Kent', 97, 96), ('Beau Turnbull', 94, 98), ('Greyson Fulton', 98, 99)]
```

This function will correctly sort the list of tuples based on the specified index of the inner tuple.