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 given mixed list of integers and strings. Your code should pass these tests:

assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']

[BEGIN]

答案

模型	模型答案	测试结果
金声玉亮2.0	```python def sort_mixed_list(mixed_list): # Separate integers and strings ints = sorted([x for x in mixed_list if isinstance(x, int)]) strs = sorted([x for x in mixed_list if isinstance(x, str)]) # Combine the sorted integers and strings return ints + strs # Test cases assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] ``` [DONE]	pass 测试用例：assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
deepseekr1	To solve this problem, we need to write a function that sorts a mixed list of integers and strings. The sorted list should have integers first in ascending order followed by strings in alphabetical order. ### Approach 1. Separate Elements: First, we separate the integers and strings from the input list into two different lists. 2. Sort Each List: Sort the list of integers in ascending order and the list of strings in alphabetical order. 3. Combine Results: Concatenate the sorted list of integers with the sorted list of strings to form the final sorted list. ### Solution Code ```python def sort_mixed_list(mixed_list): numbers = [] strings = [] for elem in mixed_list: if isinstance(elem, int): numbers.append(elem) else: strings.append(elem) numbers.sort() strings.sort() return numbers + strings ``` ### Explanation 1. Separation of Elements: The function iterates through each element in the input list. Using `isinstance`, it checks if an element is an integer or a string and appends it to the respective list (`numbers` for integers and `strings` for strings). 2. Sorting: The integers in the `numbers` list are sorted in ascending order using the `sort()` method. Similarly, the strings in the `strings` list are sorted alphabetically using the `sort()` method. 3. Combining Results: The sorted integers and sorted strings are concatenated, with integers coming first followed by strings, resulting in the desired sorted mixed list. This approach ensures that the integers are sorted numerically and the strings are sorted lexicographically, providing the correct order as specified in the problem statement.	pass 测试用例：assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
gpto1	```python def sort_mixed_list(lst): # Separate integers and strings integers = [x for x in lst if isinstance(x, int)] strings = [x for x in lst if isinstance(x, str)] # Sort both lists individually integers.sort() strings.sort() # Concatenate the lists return integers + strings ```	pass 测试用例：assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
GPT-4o	```python def sort_mixed_list(mixed_list): # Separate the list into integers and strings integers = [x for x in mixed_list if isinstance(x, int)] strings = [x for x in mixed_list if isinstance(x, str)] # Sort both lists integers.sort() strings.sort() # Combine the sorted lists sorted_list = integers + strings return sorted_list # Test the function with the given assertions assert sort_mixed_list([19, 'red', 12, 'green', 'blue', 10, 'white', 'green', 1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19, 'red', 12, 'green', 'blue', 10, 'white', 'green', 1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19, 'red', 12, 'green', 'blue', 10, 'white', 'green', 1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] ``` This function separates the mixed list into two lists, one for integers and one for strings, sorts each of them individually, and then concatenates them. The provided assertions should pass successfully.	pass 测试用例：assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
llama3.1-70B-Instruct	def sort_mixed_list(mixed_list): ints = sorted([i for i in mixed_list if isinstance(i, int)]) strs = sorted([i for i in mixed_list if isinstance(i, str)]) return ints + strs	pass 测试用例：assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
llama3.1-405B-Instruct	def sort_mixed_list(mixed_list): ints = sorted([x for x in mixed_list if type(x) == int]) strs = sorted([x for x in mixed_list if type(x) == str]) return ints + strs	pass 测试用例：assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
DeepSeek-Coder-V2	```python def sort_mixed_list(mixed_list): # Separate integers and strings ints = sorted([x for x in mixed_list if isinstance(x, int)]) strs = sorted([x for x in mixed_list if isinstance(x, str)]) # Combine the sorted integers and strings return ints + strs # Test cases assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] ``` [DONE]	pass 测试用例：assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
Qwen2-72B-Instruct	'def sort_mixed_list(mixed_list): numbers = sorted([i for i in mixed_list if isinstance(i, int)]) strings = sorted([i for i in mixed_list if isinstance(i, str)]) return numbers + strings' [DONE]	pass 测试用例：assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
baichuan4	To sort a given mixed list of integers and strings, you can use the `sorted()` function with a custom key that distinguishes between integers and strings. Here's a possible implementation: ```python def sort_mixed_list(mixed_list): # Define a key function that converts non-string types to strings # This allows us to sort both integers and strings together def key_func(x): return str(x) if not isinstance(x, str) else x # Sort the list using the custom key function sorted_list = sorted(mixed_list, key=key_func) return sorted_list # Tests assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] ``` This function first defines a `key_func` that will be used to determine the sort order. It converts non-string items to strings so that they can be compared lexicographically alongside string items. Then, it sorts the input list using this key function. The sorted list is returned, which should pass the given tests.	pass 测试用例：assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
doubao	def sort_mixed_list(lst): int_list = [] str_list = [] for item in lst: if isinstance(item, int): int_list.append(item) elif isinstance(item, str): str_list.append(item) int_list.sort() str_list.sort() return int_list + str_list [DONE]	pass 测试用例：assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
minimax	```python def sort_mixed_list(mixed_list): # Separate the list into integers and strings int_list = [x for x in mixed_list if isinstance(x, int)] str_list = [x for x in mixed_list if isinstance(x, str)] # Sort each list individually int_list.sort() str_list.sort() # Combine the sorted lists sorted_list = int_list + str_list return sorted_list # Test cases assert sort_mixed_list([19, 'red', 12, 'green', 'blue', 10, 'white', 'green', 1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19, 'red', 12, 'green', 'blue', 10, 'white', 'green', 1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19, 'red', 12, 'green', 'blue', 10, 'white', 'green', 1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] ``` This function `sort_mixed_list` first separates the integers and strings into two lists, sorts them individually, and then combines them back into one list. The test cases check that the function correctly sorts a mixed list of integers and strings.	pass 测试用例：assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
kimi	Sure, let's address each task one by one. ### Task 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 ``` ### Task 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 ``` ### Task 3: Find the largest integers from a list using heap queue algorithm ```python import heapq def heap_queue_largest(nums, n): largest_nums = heapq.nlargest(n, nums) return largest_nums ``` ### Task 4: Sort a given mixed list of integers and strings ```python def sort_mixed_list(mixed_list): sorted_list = sorted(mixed_list, key=lambda x: (isinstance(x, str), x)) return sorted_list ``` Now let's test each function with the provided test cases. ```python # Task 1 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) # Task 2 Tests assert is_not_prime(2) == False assert is_not_prime(10) == True assert is_not_prime(35) == True # Task 3 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] # Task 4 Tests assert sort_mixed_list([19, 'red', 12, 'green', 'blue', 10, 'white', 'green', 1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] ``` If you run these tests, they should all pass without any assertion errors.	failed 测试用例：assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
wenxinyiyan	'def sort_mixed_list(lst): int_list = [i for i in lst if isinstance(i, int)] str_list = [i for i in lst if isinstance(i, str)] int_list.sort() str_list.sort() sorted_list = int_list + str_list return sorted_list' [DONE] Explanation: The `sort_mixed_list` function takes a mixed list of integers and strings as input. It first separates the integers and strings into two separate lists, `int_list` and `str_list`, using list comprehensions and the `isinstance` function to check the type of each element. Then, it sorts both lists using the `sort` method. Finally, it concatenates the sorted integer list and sorted string list to form the final sorted mixed list, which is returned as the output. Note: The provided test cases are all the same, so I assumed you wanted to demonstrate that the function should produce the same output for the same input each time. If you intended to provide different test cases, please let me know, and I can adjust the code accordingly. Also, the sorting order in the test cases is based on the assumption that integers should come before strings. If you want a different sorting order (e.g., strings before integers), you can modify the code by concatenating the lists in a different order (`sorted_list = str_list + int_list`). Update: If you want to sort the list in a way that maintains the relative order of integers and strings (i.e., without separating them into separate lists first), you can use a custom sorting key function. Here's an updated version of the code that achieves this: [BEGIN] 'def sort_mixed_list(lst): def sorting_key(item): return (isinstance(item, str), item) sorted_list = sorted(lst, key=sorting_key) return sorted_list' [DONE] Explanation: In this updated version, the `sort_mixed_list` function uses a custom sorting key function called `sorting_key`. This function returns a tuple consisting of two elements: a boolean value indicating whether the item is a string (`isinstance(item, str)`) and the item itself. When sorting the list, Python will first compare the boolean values (which will group all strings together and all integers together) and then compare the items themselves within each group. This ensures that the relative order of integers and strings is maintained while sorting the list. The `sorted` function is used with the `key=sorting_key` argument to perform the sorting based on the custom key function, and the sorted list is returned as the output.	pass 测试用例：assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
zhipu	It seems like all the provided test cases are identical. However, I'll write a function that sorts a mixed list of integers and strings, ensuring that integers are sorted in ascending order and strings are sorted alphabetically, while maintaining the overall order of integers followed by strings. Here's the function: ```python def sort_mixed_list(mixed_list): # Separate the list into integers and strings integers = [x for x in mixed_list if isinstance(x, int)] strings = [x for x in mixed_list if isinstance(x, str)] # Sort the integers and strings separately sorted_integers = sorted(integers) sorted_strings = sorted(strings) # Combine the sorted integers and strings sorted_mixed_list = sorted_integers + sorted_strings return sorted_mixed_list # Test cases assert sort_mixed_list([19, 'red', 12, 'green', 'blue', 10, 'white', 'green', 1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] ``` This function first separates the integers and strings from the input list, sorts them individually, and then combines them back into a single sorted list. The test case provided will pass with this implementation. If you need to handle more diverse test cases or have any additional requirements, please let me know!	pass 测试用例：assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
gpto1	```python def sort_mixed_list(lst): # Separate integers and strings integers = [x for x in lst if isinstance(x, int)] strings = [x for x in lst if isinstance(x, str)] # Sort both lists individually integers.sort() strings.sort() # Concatenate the lists return integers + strings ```	pass 测试用例：assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
deepseekv3	To sort a mixed list of integers and strings, we need to separate the integers and the strings, sort them individually, and then combine them back into a single list. Here's a function that accomplishes this: ```python def sort_mixed_list(mixed_list): # Separate integers and strings int_list = sorted([x for x in mixed_list if isinstance(x, int)]) str_list = sorted([x for x in mixed_list if isinstance(x, str)]) # Combine the sorted integers and strings sorted_list = int_list + str_list return sorted_list # Test cases assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] ``` ### Explanation: 1. Separation: The list comprehension `[x for x in mixed_list if isinstance(x, int)]` filters out all the integers from the mixed list, and `[x for x in mixed_list if isinstance(x, str)]` filters out all the strings. 2. Sorting: The integers and strings are sorted separately using the `sorted()` function. 3. Combination: The sorted integers and sorted strings are concatenated to form the final sorted list. This function ensures that the integers come before the strings in the sorted list, which is the desired order based on the provided test cases.	pass 测试用例：assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white'] assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']

模型

模型答案

测试结果

金声玉亮2.0

```python
def sort_mixed_list(mixed_list):
# Separate integers and strings
ints = sorted([x for x in mixed_list if isinstance(x, int)])
strs = sorted([x for x in mixed_list if isinstance(x, str)])
# Combine the sorted integers and strings
return ints + strs

# Test cases
assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
```
[DONE]

pass
测试用例：assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']

deepseekr1

To solve this problem, we need to write a function that sorts a mixed list of integers and strings. The sorted list should have integers first in ascending order followed by strings in alphabetical order.

### Approach
1. **Separate Elements**: First, we separate the integers and strings from the input list into two different lists.
2. **Sort Each List**: Sort the list of integers in ascending order and the list of strings in alphabetical order.
3. **Combine Results**: Concatenate the sorted list of integers with the sorted list of strings to form the final sorted list.

### Solution Code
```python
def sort_mixed_list(mixed_list):
numbers = []
strings = []
for elem in mixed_list:
if isinstance(elem, int):
numbers.append(elem)
else:
strings.append(elem)
numbers.sort()
strings.sort()
return numbers + strings
```

### Explanation
1. **Separation of Elements**: The function iterates through each element in the input list. Using `isinstance`, it checks if an element is an integer or a string and appends it to the respective list (`numbers` for integers and `strings` for strings).
2. **Sorting**: The integers in the `numbers` list are sorted in ascending order using the `sort()` method. Similarly, the strings in the `strings` list are sorted alphabetically using the `sort()` method.
3. **Combining Results**: The sorted integers and sorted strings are concatenated, with integers coming first followed by strings, resulting in the desired sorted mixed list.

This approach ensures that the integers are sorted numerically and the strings are sorted lexicographically, providing the correct order as specified in the problem statement.

gpto1

```python
def sort_mixed_list(lst):
# Separate integers and strings
integers = [x for x in lst if isinstance(x, int)]
strings = [x for x in lst if isinstance(x, str)]

# Sort both lists individually
integers.sort()
strings.sort()

# Concatenate the lists
return integers + strings
```

GPT-4o

```python
def sort_mixed_list(mixed_list):
# Separate the list into integers and strings
integers = [x for x in mixed_list if isinstance(x, int)]
strings = [x for x in mixed_list if isinstance(x, str)]

# Sort both lists
integers.sort()
strings.sort()

# Combine the sorted lists
sorted_list = integers + strings
return sorted_list

# Test the function with the given assertions
assert sort_mixed_list([19, 'red', 12, 'green', 'blue', 10, 'white', 'green', 1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
assert sort_mixed_list([19, 'red', 12, 'green', 'blue', 10, 'white', 'green', 1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
assert sort_mixed_list([19, 'red', 12, 'green', 'blue', 10, 'white', 'green', 1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
```

This function separates the mixed list into two lists, one for integers and one for strings, sorts each of them individually, and then concatenates them. The provided assertions should pass successfully.

llama3.1-70B-Instruct

def sort_mixed_list(mixed_list):
ints = sorted([i for i in mixed_list if isinstance(i, int)])
strs = sorted([i for i in mixed_list if isinstance(i, str)])
return ints + strs

llama3.1-405B-Instruct

def sort_mixed_list(mixed_list):
ints = sorted([x for x in mixed_list if type(x) == int])
strs = sorted([x for x in mixed_list if type(x) == str])
return ints + strs

DeepSeek-Coder-V2

Qwen2-72B-Instruct

'def sort_mixed_list(mixed_list):
numbers = sorted([i for i in mixed_list if isinstance(i, int)])
strings = sorted([i for i in mixed_list if isinstance(i, str)])
return numbers + strings'
[DONE]

baichuan4

To sort a given mixed list of integers and strings, you can use the `sorted()` function with a custom key that distinguishes between integers and strings. Here's a possible implementation:

```python
def sort_mixed_list(mixed_list):
# Define a key function that converts non-string types to strings
# This allows us to sort both integers and strings together
def key_func(x):
return str(x) if not isinstance(x, str) else x

# Sort the list using the custom key function
sorted_list = sorted(mixed_list, key=key_func)
return sorted_list

# Tests
assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
```

This function first defines a `key_func` that will be used to determine the sort order. It converts non-string items to strings so that they can be compared lexicographically alongside string items. Then, it sorts the input list using this key function. The sorted list is returned, which should pass the given tests.

doubao

def sort_mixed_list(lst):
int_list = []
str_list = []
for item in lst:
if isinstance(item, int):
int_list.append(item)
elif isinstance(item, str):
str_list.append(item)
int_list.sort()
str_list.sort()
return int_list + str_list
[DONE]

minimax

```python
def sort_mixed_list(mixed_list):
# Separate the list into integers and strings
int_list = [x for x in mixed_list if isinstance(x, int)]
str_list = [x for x in mixed_list if isinstance(x, str)]

# Sort each list individually
int_list.sort()
str_list.sort()

# Combine the sorted lists
sorted_list = int_list + str_list
return sorted_list

# Test cases
assert sort_mixed_list([19, 'red', 12, 'green', 'blue', 10, 'white', 'green', 1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
assert sort_mixed_list([19, 'red', 12, 'green', 'blue', 10, 'white', 'green', 1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
assert sort_mixed_list([19, 'red', 12, 'green', 'blue', 10, 'white', 'green', 1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
```

This function `sort_mixed_list` first separates the integers and strings into two lists, sorts them individually, and then combines them back into one list. The test cases check that the function correctly sorts a mixed list of integers and strings.

kimi

Sure, let's address each task one by one.

### Task 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
```

### Task 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
```

### Task 3: Find the largest integers from a list using heap queue algorithm

```python
import heapq

def heap_queue_largest(nums, n):
largest_nums = heapq.nlargest(n, nums)
return largest_nums
```

### Task 4: Sort a given mixed list of integers and strings

```python
def sort_mixed_list(mixed_list):
sorted_list = sorted(mixed_list, key=lambda x: (isinstance(x, str), x))
return sorted_list
```

Now let's test each function with the provided test cases.

```python
# Task 1 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)

# Task 2 Tests
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

# Task 3 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]

# Task 4 Tests
assert sort_mixed_list([19, 'red', 12, 'green', 'blue', 10, 'white', 'green', 1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
```

If you run these tests, they should all pass without any assertion errors.

failed
测试用例：assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1])==[1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']

wenxinyiyan

'def sort_mixed_list(lst):
int_list = [i for i in lst if isinstance(i, int)]
str_list = [i for i in lst if isinstance(i, str)]
int_list.sort()
str_list.sort()
sorted_list = int_list + str_list
return sorted_list'
[DONE]

Explanation:
The `sort_mixed_list` function takes a mixed list of integers and strings as input. It first separates the integers and strings into two separate lists, `int_list` and `str_list`, using list comprehensions and the `isinstance` function to check the type of each element. Then, it sorts both lists using the `sort` method. Finally, it concatenates the sorted integer list and sorted string list to form the final sorted mixed list, which is returned as the output.

Note: The provided test cases are all the same, so I assumed you wanted to demonstrate that the function should produce the same output for the same input each time. If you intended to provide different test cases, please let me know, and I can adjust the code accordingly.

Also, the sorting order in the test cases is based on the assumption that integers should come before strings. If you want a different sorting order (e.g., strings before integers), you can modify the code by concatenating the lists in a different order (`sorted_list = str_list + int_list`).

Update: If you want to sort the list in a way that maintains the relative order of integers and strings (i.e., without separating them into separate lists first), you can use a custom sorting key function. Here's an updated version of the code that achieves this:

[BEGIN]
'def sort_mixed_list(lst):
def sorting_key(item):
return (isinstance(item, str), item)

sorted_list = sorted(lst, key=sorting_key)
return sorted_list'
[DONE]

Explanation:
In this updated version, the `sort_mixed_list` function uses a custom sorting key function called `sorting_key`. This function returns a tuple consisting of two elements: a boolean value indicating whether the item is a string (`isinstance(item, str)`) and the item itself. When sorting the list, Python will first compare the boolean values (which will group all strings together and all integers together) and then compare the items themselves within each group. This ensures that the relative order of integers and strings is maintained while sorting the list. The `sorted` function is used with the `key=sorting_key` argument to perform the sorting based on the custom key function, and the sorted list is returned as the output.

zhipu

It seems like all the provided test cases are identical. However, I'll write a function that sorts a mixed list of integers and strings, ensuring that integers are sorted in ascending order and strings are sorted alphabetically, while maintaining the overall order of integers followed by strings.

Here's the function:

```python
def sort_mixed_list(mixed_list):
# Separate the list into integers and strings
integers = [x for x in mixed_list if isinstance(x, int)]
strings = [x for x in mixed_list if isinstance(x, str)]

# Sort the integers and strings separately
sorted_integers = sorted(integers)
sorted_strings = sorted(strings)

# Combine the sorted integers and strings
sorted_mixed_list = sorted_integers + sorted_strings

return sorted_mixed_list

# Test cases
assert sort_mixed_list([19, 'red', 12, 'green', 'blue', 10, 'white', 'green', 1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
```

This function first separates the integers and strings from the input list, sorts them individually, and then combines them back into a single sorted list. The test case provided will pass with this implementation.

If you need to handle more diverse test cases or have any additional requirements, please let me know!

gpto1

deepseekv3

To sort a mixed list of integers and strings, we need to separate the integers and the strings, sort them individually, and then combine them back into a single list. Here's a function that accomplishes this:

```python
def sort_mixed_list(mixed_list):
# Separate integers and strings
int_list = sorted([x for x in mixed_list if isinstance(x, int)])
str_list = sorted([x for x in mixed_list if isinstance(x, str)])

# Combine the sorted integers and strings
sorted_list = int_list + str_list
return sorted_list

# Test cases
assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
assert sort_mixed_list([19,'red',12,'green','blue', 10,'white','green',1]) == [1, 10, 12, 19, 'blue', 'green', 'green', 'red', 'white']
```

### Explanation:
1. **Separation**: The list comprehension `[x for x in mixed_list if isinstance(x, int)]` filters out all the integers from the mixed list, and `[x for x in mixed_list if isinstance(x, str)]` filters out all the strings.
2. **Sorting**: The integers and strings are sorted separately using the `sorted()` function.
3. **Combination**: The sorted integers and sorted strings are concatenated to form the final sorted list.

This function ensures that the integers come before the strings in the sorted list, which is the desired order based on the provided test cases.