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 perfom the rear element extraction from list of tuples records. Your code should pass these tests:

assert rear_extract([(1, 'Rash', 21), (2, 'Varsha', 20), (3, 'Kil', 19)]) == [21, 20, 19]
assert rear_extract([(1, 'Sai', 36), (2, 'Ayesha', 25), (3, 'Salman', 45)]) == [36, 25, 45]
assert rear_extract([(1, 'Sudeep', 14), (2, 'Vandana', 36), (3, 'Dawood', 56)]) == [14, 36, 56]

[BEGIN]

答案

模型	模型答案	测试结果
金声玉亮2.0	```python def rear_extract(records): return [record[-1] for record in records] ``` [DONE]	pass 测试用例：assert rear_extract([(1, 'Rash', 21), (2, 'Varsha', 20), (3, 'Kil', 19)]) == [21, 20, 19] assert rear_extract([(1, 'Sai', 36), (2, 'Ayesha', 25), (3, 'Salman', 45)]) == [36, 25, 45] assert rear_extract([(1, 'Sudeep', 14), (2, 'Vandana', 36), (3, 'Dawood', 56)]) == [14, 36, 56]
deepseekr1	To solve this problem, we need to write a function that extracts the last element from each tuple in a given list of tuples and returns these elements as a list. This function should handle any list of tuples, provided each tuple has at least one element. ### Approach The approach involves iterating through each tuple in the input list and collecting the last element of each tuple. This can be efficiently achieved using a list comprehension, which allows us to succinctly create the desired list by accessing the last element of each tuple (using index -1) in a concise manner. ### Solution Code ```python def rear_extract(tuples_list): return [tpl[-1] for tpl in tuples_list] ``` ### Explanation 1. Input: The function takes a list of tuples as input. Each tuple can have varying lengths, but it must have at least one element. 2. Processing: Using a list comprehension, we iterate over each tuple in the input list. For each tuple, we access its last element using the index `-1`. 3. Output: The list comprehension constructs a new list containing the last elements of all tuples, which is then returned as the result. This approach is efficient and concise, leveraging Python's list comprehensions to achieve the desired result in a readable and straightforward manner.	pass 测试用例：assert rear_extract([(1, 'Rash', 21), (2, 'Varsha', 20), (3, 'Kil', 19)]) == [21, 20, 19] assert rear_extract([(1, 'Sai', 36), (2, 'Ayesha', 25), (3, 'Salman', 45)]) == [36, 25, 45] assert rear_extract([(1, 'Sudeep', 14), (2, 'Vandana', 36), (3, 'Dawood', 56)]) == [14, 36, 56]
gpto1	[BEGIN] 'def rear_extract(records): return [t[-1] for t in records]' [DONE]	pass 测试用例：assert rear_extract([(1, 'Rash', 21), (2, 'Varsha', 20), (3, 'Kil', 19)]) == [21, 20, 19] assert rear_extract([(1, 'Sai', 36), (2, 'Ayesha', 25), (3, 'Salman', 45)]) == [36, 25, 45] assert rear_extract([(1, 'Sudeep', 14), (2, 'Vandana', 36), (3, 'Dawood', 56)]) == [14, 36, 56]
GPT-4o	```python def rear_extract(lst): return [tup[-1] for tup in lst] ``` This function will extract the last element from each tuple in the given list of tuples. Let's ensure it passes the specified tests: ```python assert rear_extract([(1, 'Rash', 21), (2, 'Varsha', 20), (3, 'Kil', 19)]) == [21, 20, 19] assert rear_extract([(1, 'Sai', 36), (2, 'Ayesha', 25), (3, 'Salman', 45)]) == [36, 25, 45] assert rear_extract([(1, 'Sudeep', 14), (2, 'Vandana', 36), (3, 'Dawood', 56)]) == [14, 36, 56] ```	pass 测试用例：assert rear_extract([(1, 'Rash', 21), (2, 'Varsha', 20), (3, 'Kil', 19)]) == [21, 20, 19] assert rear_extract([(1, 'Sai', 36), (2, 'Ayesha', 25), (3, 'Salman', 45)]) == [36, 25, 45] assert rear_extract([(1, 'Sudeep', 14), (2, 'Vandana', 36), (3, 'Dawood', 56)]) == [14, 36, 56]
llama3.1-70B-Instruct	def rear_extract(records): return [record[-1] for record in records]	pass 测试用例：assert rear_extract([(1, 'Rash', 21), (2, 'Varsha', 20), (3, 'Kil', 19)]) == [21, 20, 19] assert rear_extract([(1, 'Sai', 36), (2, 'Ayesha', 25), (3, 'Salman', 45)]) == [36, 25, 45] assert rear_extract([(1, 'Sudeep', 14), (2, 'Vandana', 36), (3, 'Dawood', 56)]) == [14, 36, 56]
llama3.1-405B-Instruct	def rear_extract(records): return [record[-1] for record in records]	pass 测试用例：assert rear_extract([(1, 'Rash', 21), (2, 'Varsha', 20), (3, 'Kil', 19)]) == [21, 20, 19] assert rear_extract([(1, 'Sai', 36), (2, 'Ayesha', 25), (3, 'Salman', 45)]) == [36, 25, 45] assert rear_extract([(1, 'Sudeep', 14), (2, 'Vandana', 36), (3, 'Dawood', 56)]) == [14, 36, 56]
DeepSeek-Coder-V2	```python def rear_extract(records): return [record[-1] for record in records] ``` [DONE]	pass 测试用例：assert rear_extract([(1, 'Rash', 21), (2, 'Varsha', 20), (3, 'Kil', 19)]) == [21, 20, 19] assert rear_extract([(1, 'Sai', 36), (2, 'Ayesha', 25), (3, 'Salman', 45)]) == [36, 25, 45] assert rear_extract([(1, 'Sudeep', 14), (2, 'Vandana', 36), (3, 'Dawood', 56)]) == [14, 36, 56]
Qwen2-72B-Instruct	'def rear_extract(test_list): res = list(map(lambda x: x[-1], test_list)) return res' [DONE]	pass 测试用例：assert rear_extract([(1, 'Rash', 21), (2, 'Varsha', 20), (3, 'Kil', 19)]) == [21, 20, 19] assert rear_extract([(1, 'Sai', 36), (2, 'Ayesha', 25), (3, 'Salman', 45)]) == [36, 25, 45] assert rear_extract([(1, 'Sudeep', 14), (2, 'Vandana', 36), (3, 'Dawood', 56)]) == [14, 36, 56]
baichuan4	Here is the Python function to perform rear element extraction from a list of tuples records: ```python def rear_extract(records): return [record[-1] for record in records] ``` This function uses a list comprehension to iterate over each tuple in the `records` list and extract the last element of each tuple. The resulting list of extracted elements is then returned. Let's test the function with the provided test cases: ```python assert rear_extract([(1, 'Rash', 21), (2, 'Varsha', 20), (3, 'Kil', 19)]) == [21, 20, 19] assert rear_extract([(1, 'Sai', 36), (2, 'Ayesha', 25), (3, 'Salman', 45)]) == [36, 25, 45] assert rear_extract([(1, 'Sudeep', 14), (2, 'Vandana', 36), (3, 'Dawood', 56)]) == [14, 36, 56] ``` If the function is implemented correctly, all these assertions should pass without any errors.	pass 测试用例：assert rear_extract([(1, 'Rash', 21), (2, 'Varsha', 20), (3, 'Kil', 19)]) == [21, 20, 19] assert rear_extract([(1, 'Sai', 36), (2, 'Ayesha', 25), (3, 'Salman', 45)]) == [36, 25, 45] assert rear_extract([(1, 'Sudeep', 14), (2, 'Vandana', 36), (3, 'Dawood', 56)]) == [14, 36, 56]
doubao	'def rear_extract(lst): return [t[2] for t in lst]' [DONE]	pass 测试用例：assert rear_extract([(1, 'Rash', 21), (2, 'Varsha', 20), (3, 'Kil', 19)]) == [21, 20, 19] assert rear_extract([(1, 'Sai', 36), (2, 'Ayesha', 25), (3, 'Salman', 45)]) == [36, 25, 45] assert rear_extract([(1, 'Sudeep', 14), (2, 'Vandana', 36), (3, 'Dawood', 56)]) == [14, 36, 56]
minimax	'def rear_extract(records): return [age for _, _, age in records]'	failed 测试用例：assert rear_extract([(1, 'Rash', 21), (2, 'Varsha', 20), (3, 'Kil', 19)]) == [21, 20, 19] assert rear_extract([(1, 'Sai', 36), (2, 'Ayesha', 25), (3, 'Salman', 45)]) == [36, 25, 45] assert rear_extract([(1, 'Sudeep', 14), (2, 'Vandana', 36), (3, 'Dawood', 56)]) == [14, 36, 56]
kimi	Here's the Python function that performs the rear element extraction from a list of tuples: ```python def rear_extract(tuples_list): return [item[-1] for item in tuples_list] ``` This function uses list comprehension to iterate through each tuple in the input list and extract the last element of each tuple. Now, let's test the function with the provided test cases: ```python assert rear_extract([(1, 'Rash', 21), (2, 'Varsha', 20), (3, 'Kil', 19)]) == [21, 20, 19] assert rear_extract([(1, 'Sai', 36), (2, 'Ayesha', 25), (3, 'Salman', 45)]) == [36, 25, 45] assert rear_extract([(1, 'Sudeep', 14), (2, 'Vandana', 36), (3, 'Dawood', 56)]) == [14, 36, 56] ``` If the function is defined correctly, it should pass all the tests without any assertion errors.	pass 测试用例：assert rear_extract([(1, 'Rash', 21), (2, 'Varsha', 20), (3, 'Kil', 19)]) == [21, 20, 19] assert rear_extract([(1, 'Sai', 36), (2, 'Ayesha', 25), (3, 'Salman', 45)]) == [36, 25, 45] assert rear_extract([(1, 'Sudeep', 14), (2, 'Vandana', 36), (3, 'Dawood', 56)]) == [14, 36, 56]
wenxinyiyan	'def rear_extract(records): return [record[-1] for record in records]' [DONE] Explanation: The `rear_extract` function takes a list of tuples (`records`) as input. It uses a list comprehension to iterate over each tuple (`record`) in the list. For each tuple, it extracts the last element using the index `-1` and adds it to a new list. Finally, it returns this new list, which contains the rear elements from each tuple in the original list.	pass 测试用例：assert rear_extract([(1, 'Rash', 21), (2, 'Varsha', 20), (3, 'Kil', 19)]) == [21, 20, 19] assert rear_extract([(1, 'Sai', 36), (2, 'Ayesha', 25), (3, 'Salman', 45)]) == [36, 25, 45] assert rear_extract([(1, 'Sudeep', 14), (2, 'Vandana', 36), (3, 'Dawood', 56)]) == [14, 36, 56]
zhipu	To achieve the task of extracting the rear elements from a list of tuples, we can write a function that iterates through each tuple in the list and appends the last element of each tuple to a new list. Here's the implementation: ```python def rear_extract(records): return [tup[-1] for tup in records] # Test cases assert rear_extract([(1, 'Rash', 21), (2, 'Varsha', 20), (3, 'Kil', 19)]) == [21, 20, 19] assert rear_extract([(1, 'Sai', 36), (2, 'Ayesha', 25), (3, 'Salman', 45)]) == [36, 25, 45] assert rear_extract([(1, 'Sudeep', 14), (2, 'Vandana', 36), (3, 'Dawood', 56)]) == [14, 36, 56] print("All tests passed!") ``` ### Explanation: 1. Function Definition: The function `rear_extract` takes a list of tuples `records` as its argument. 2. List Comprehension: Inside the function, a list comprehension is used to iterate over each tuple in the `records` list. 3. Extract Last Element: For each tuple `tup`, the last element is accessed using `tup[-1]` and added to the new list. 4. Return Statement: The function returns the new list containing the extracted elements. ### Test Cases: - The provided test cases are used to ensure that the function works as expected. Each test case asserts that the function returns the correct list of rear elements from the input list of tuples. By running the above code, you should see the output "All tests passed!" indicating that the function correctly passes all the given tests.	pass 测试用例：assert rear_extract([(1, 'Rash', 21), (2, 'Varsha', 20), (3, 'Kil', 19)]) == [21, 20, 19] assert rear_extract([(1, 'Sai', 36), (2, 'Ayesha', 25), (3, 'Salman', 45)]) == [36, 25, 45] assert rear_extract([(1, 'Sudeep', 14), (2, 'Vandana', 36), (3, 'Dawood', 56)]) == [14, 36, 56]
gpto1	[BEGIN] 'def rear_extract(records): return [t[-1] for t in records]' [DONE]	pass 测试用例：assert rear_extract([(1, 'Rash', 21), (2, 'Varsha', 20), (3, 'Kil', 19)]) == [21, 20, 19] assert rear_extract([(1, 'Sai', 36), (2, 'Ayesha', 25), (3, 'Salman', 45)]) == [36, 25, 45] assert rear_extract([(1, 'Sudeep', 14), (2, 'Vandana', 36), (3, 'Dawood', 56)]) == [14, 36, 56]
deepseekv3	```python def rear_extract(records): return [record[-1] for record in records] ``` This function `rear_extract` takes a list of tuples `records` as input and returns a list containing the last element of each tuple. The list comprehension `[record[-1] for record in records]` iterates over each tuple in `records` and extracts the last element (`record[-1]`), which is then collected into a new list. This solution is concise and efficiently handles the task of extracting the rear elements from the given tuples.	pass 测试用例：assert rear_extract([(1, 'Rash', 21), (2, 'Varsha', 20), (3, 'Kil', 19)]) == [21, 20, 19] assert rear_extract([(1, 'Sai', 36), (2, 'Ayesha', 25), (3, 'Salman', 45)]) == [36, 25, 45] assert rear_extract([(1, 'Sudeep', 14), (2, 'Vandana', 36), (3, 'Dawood', 56)]) == [14, 36, 56]

模型

模型答案

测试结果

金声玉亮2.0

```python
def rear_extract(records):
return [record[-1] for record in records]
```
[DONE]

pass
测试用例：assert rear_extract([(1, 'Rash', 21), (2, 'Varsha', 20), (3, 'Kil', 19)]) == [21, 20, 19]
assert rear_extract([(1, 'Sai', 36), (2, 'Ayesha', 25), (3, 'Salman', 45)]) == [36, 25, 45]
assert rear_extract([(1, 'Sudeep', 14), (2, 'Vandana', 36), (3, 'Dawood', 56)]) == [14, 36, 56]

deepseekr1

To solve this problem, we need to write a function that extracts the last element from each tuple in a given list of tuples and returns these elements as a list. This function should handle any list of tuples, provided each tuple has at least one element.

### Approach
The approach involves iterating through each tuple in the input list and collecting the last element of each tuple. This can be efficiently achieved using a list comprehension, which allows us to succinctly create the desired list by accessing the last element of each tuple (using index -1) in a concise manner.

### Solution Code
```python
def rear_extract(tuples_list):
return [tpl[-1] for tpl in tuples_list]
```

### Explanation
1. **Input**: The function takes a list of tuples as input. Each tuple can have varying lengths, but it must have at least one element.
2. **Processing**: Using a list comprehension, we iterate over each tuple in the input list. For each tuple, we access its last element using the index `-1`.
3. **Output**: The list comprehension constructs a new list containing the last elements of all tuples, which is then returned as the result.

This approach is efficient and concise, leveraging Python's list comprehensions to achieve the desired result in a readable and straightforward manner.

gpto1

[BEGIN]
'def rear_extract(records):
return [t[-1] for t in records]'
[DONE]

GPT-4o

```python
def rear_extract(lst):
return [tup[-1] for tup in lst]
```

This function will extract the last element from each tuple in the given list of tuples. Let's ensure it passes the specified tests:

```python
assert rear_extract([(1, 'Rash', 21), (2, 'Varsha', 20), (3, 'Kil', 19)]) == [21, 20, 19]
assert rear_extract([(1, 'Sai', 36), (2, 'Ayesha', 25), (3, 'Salman', 45)]) == [36, 25, 45]
assert rear_extract([(1, 'Sudeep', 14), (2, 'Vandana', 36), (3, 'Dawood', 56)]) == [14, 36, 56]
```

llama3.1-70B-Instruct

def rear_extract(records):
return [record[-1] for record in records]

llama3.1-405B-Instruct

def rear_extract(records):
return [record[-1] for record in records]

DeepSeek-Coder-V2

```python
def rear_extract(records):
return [record[-1] for record in records]
```
[DONE]

Qwen2-72B-Instruct

'def rear_extract(test_list):
res = list(map(lambda x: x[-1], test_list))
return res'
[DONE]

baichuan4

Here is the Python function to perform rear element extraction from a list of tuples records:

```python
def rear_extract(records):
return [record[-1] for record in records]
```

This function uses a list comprehension to iterate over each tuple in the `records` list and extract the last element of each tuple. The resulting list of extracted elements is then returned.

Let's test the function with the provided test cases:

```python
assert rear_extract([(1, 'Rash', 21), (2, 'Varsha', 20), (3, 'Kil', 19)]) == [21, 20, 19]
assert rear_extract([(1, 'Sai', 36), (2, 'Ayesha', 25), (3, 'Salman', 45)]) == [36, 25, 45]
assert rear_extract([(1, 'Sudeep', 14), (2, 'Vandana', 36), (3, 'Dawood', 56)]) == [14, 36, 56]
```

If the function is implemented correctly, all these assertions should pass without any errors.

doubao

'def rear_extract(lst):
return [t[2] for t in lst]'
[DONE]

minimax

'def rear_extract(records):
return [age for _, _, age in records]'

failed
测试用例：assert rear_extract([(1, 'Rash', 21), (2, 'Varsha', 20), (3, 'Kil', 19)]) == [21, 20, 19]
assert rear_extract([(1, 'Sai', 36), (2, 'Ayesha', 25), (3, 'Salman', 45)]) == [36, 25, 45]
assert rear_extract([(1, 'Sudeep', 14), (2, 'Vandana', 36), (3, 'Dawood', 56)]) == [14, 36, 56]

kimi

Here's the Python function that performs the rear element extraction from a list of tuples:

```python
def rear_extract(tuples_list):
return [item[-1] for item in tuples_list]
```

This function uses list comprehension to iterate through each tuple in the input list and extract the last element of each tuple.

Now, let's test the function with the provided test cases:

```python
assert rear_extract([(1, 'Rash', 21), (2, 'Varsha', 20), (3, 'Kil', 19)]) == [21, 20, 19]
assert rear_extract([(1, 'Sai', 36), (2, 'Ayesha', 25), (3, 'Salman', 45)]) == [36, 25, 45]
assert rear_extract([(1, 'Sudeep', 14), (2, 'Vandana', 36), (3, 'Dawood', 56)]) == [14, 36, 56]
```

If the function is defined correctly, it should pass all the tests without any assertion errors.

wenxinyiyan

'def rear_extract(records):
return [record[-1] for record in records]'
[DONE]

Explanation:
The `rear_extract` function takes a list of tuples (`records`) as input. It uses a list comprehension to iterate over each tuple (`record`) in the list. For each tuple, it extracts the last element using the index `-1` and adds it to a new list. Finally, it returns this new list, which contains the rear elements from each tuple in the original list.

zhipu

To achieve the task of extracting the rear elements from a list of tuples, we can write a function that iterates through each tuple in the list and appends the last element of each tuple to a new list. Here's the implementation:

```python
def rear_extract(records):
return [tup[-1] for tup in records]

# Test cases
assert rear_extract([(1, 'Rash', 21), (2, 'Varsha', 20), (3, 'Kil', 19)]) == [21, 20, 19]
assert rear_extract([(1, 'Sai', 36), (2, 'Ayesha', 25), (3, 'Salman', 45)]) == [36, 25, 45]
assert rear_extract([(1, 'Sudeep', 14), (2, 'Vandana', 36), (3, 'Dawood', 56)]) == [14, 36, 56]

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

### Explanation:
1. **Function Definition**: The function `rear_extract` takes a list of tuples `records` as its argument.
2. **List Comprehension**: Inside the function, a list comprehension is used to iterate over each tuple in the `records` list.
3. **Extract Last Element**: For each tuple `tup`, the last element is accessed using `tup[-1]` and added to the new list.
4. **Return Statement**: The function returns the new list containing the extracted elements.

### Test Cases:
- The provided test cases are used to ensure that the function works as expected. Each test case asserts that the function returns the correct list of rear elements from the input list of tuples.

By running the above code, you should see the output "All tests passed!" indicating that the function correctly passes all the given tests.

gpto1

[BEGIN]
'def rear_extract(records):
return [t[-1] for t in records]'
[DONE]

deepseekv3

```python
def rear_extract(records):
return [record[-1] for record in records]
```

This function `rear_extract` takes a list of tuples `records` as input and returns a list containing the last element of each tuple. The list comprehension `[record[-1] for record in records]` iterates over each tuple in `records` and extracts the last element (`record[-1]`), which is then collected into a new list. This solution is concise and efficiently handles the task of extracting the rear elements from the given tuples.