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 calculate the sum of the negative numbers of a given list of numbers using lambda function. Your code should pass these tests:

assert sum_negativenum([2, 4, -6, -9, 11, -12, 14, -5, 17])==-32
assert sum_negativenum([10,15,-14,13,-18,12,-20])==-52
assert sum_negativenum([19, -65, 57, 39, 152,-639, 121, 44, 90, -190])==-894

[BEGIN]

答案

模型	模型答案	测试结果
金声玉亮2.0	```python sum_negativenum = lambda nums: sum(filter(lambda x: x < 0, nums)) ``` [DONE]	pass 测试用例：assert sum_negativenum([2, 4, -6, -9, 11, -12, 14, -5, 17])==-32 assert sum_negativenum([10,15,-14,13,-18,12,-20])==-52 assert sum_negativenum([19, -65, 57, 39, 152,-639, 121, 44, 90, -190])==-894
deepseekr1	[BEGIN] def sum_negativenum(nums): return sum(filter(lambda x: x < 0, nums)) [DONE]	pass 测试用例：assert sum_negativenum([2, 4, -6, -9, 11, -12, 14, -5, 17])==-32 assert sum_negativenum([10,15,-14,13,-18,12,-20])==-52 assert sum_negativenum([19, -65, 57, 39, 152,-639, 121, 44, 90, -190])==-894
gpto1	'def sum_negativenum(nums): return sum(filter(lambda x: x < 0, nums))' [DONE]	pass 测试用例：assert sum_negativenum([2, 4, -6, -9, 11, -12, 14, -5, 17])==-32 assert sum_negativenum([10,15,-14,13,-18,12,-20])==-52 assert sum_negativenum([19, -65, 57, 39, 152,-639, 121, 44, 90, -190])==-894
GPT-4o	```python def sum_negativenum(nums): # Use filter with a lambda function to get only negative numbers negative_nums = filter(lambda x: x < 0, nums) # Sum the filtered negative numbers return sum(negative_nums) # Tests assert sum_negativenum([2, 4, -6, -9, 11, -12, 14, -5, 17]) == -32 assert sum_negativenum([10, 15, -14, 13, -18, 12, -20]) == -52 assert sum_negativenum([19, -65, 57, 39, 152, -639, 121, 44, 90, -190]) == -894 ``` This function uses the `filter` function combined with a lambda to identify the negative numbers in the list. It then sums these negative numbers and returns the result. This should pass the given tests.	pass 测试用例：assert sum_negativenum([2, 4, -6, -9, 11, -12, 14, -5, 17])==-32 assert sum_negativenum([10,15,-14,13,-18,12,-20])==-52 assert sum_negativenum([19, -65, 57, 39, 152,-639, 121, 44, 90, -190])==-894
llama3.1-70B-Instruct	def sum_negativenum(lst): return sum(filter(lambda x: x < 0, lst))	pass 测试用例：assert sum_negativenum([2, 4, -6, -9, 11, -12, 14, -5, 17])==-32 assert sum_negativenum([10,15,-14,13,-18,12,-20])==-52 assert sum_negativenum([19, -65, 57, 39, 152,-639, 121, 44, 90, -190])==-894
llama3.1-405B-Instruct	def sum_negativenum(lst): return sum(filter(lambda x: x < 0, lst))	pass 测试用例：assert sum_negativenum([2, 4, -6, -9, 11, -12, 14, -5, 17])==-32 assert sum_negativenum([10,15,-14,13,-18,12,-20])==-52 assert sum_negativenum([19, -65, 57, 39, 152,-639, 121, 44, 90, -190])==-894
DeepSeek-Coder-V2	```python sum_negativenum = lambda nums: sum(filter(lambda x: x < 0, nums)) ``` [DONE]	pass 测试用例：assert sum_negativenum([2, 4, -6, -9, 11, -12, 14, -5, 17])==-32 assert sum_negativenum([10,15,-14,13,-18,12,-20])==-52 assert sum_negativenum([19, -65, 57, 39, 152,-639, 121, 44, 90, -190])==-894
Qwen2-72B-Instruct	'def sum_negativenum(lst): sum_neg = filter(lambda x: x < 0, lst) return sum(sum_neg)' [DONE]	pass 测试用例：assert sum_negativenum([2, 4, -6, -9, 11, -12, 14, -5, 17])==-32 assert sum_negativenum([10,15,-14,13,-18,12,-20])==-52 assert sum_negativenum([19, -65, 57, 39, 152,-639, 121, 44, 90, -190])==-894
baichuan4	Here's the function to calculate the sum of negative numbers in a given list using a lambda function: ```python def sum_negativenum(nums): return sum(filter(lambda x: x < 0, nums)) ``` This function uses the `filter` function to filter out negative numbers from the list and then uses the `sum` function to calculate their sum. The `lambda` function is used to define the condition for filtering. Let's test the function with the given test cases: ```python assert sum_negativenum([2, 4, -6, -9, 11, -12, 14, -5, 17]) == -32 assert sum_negativenum([10, 15, -14, 13, -18, 12, -20]) == -52 assert sum_negativenum([19, -65, 57, 39, 152, -639, 121, 44, 90, -190]) == -894 ``` All the test cases pass successfully, indicating that the function works correctly.	pass 测试用例：assert sum_negativenum([2, 4, -6, -9, 11, -12, 14, -5, 17])==-32 assert sum_negativenum([10,15,-14,13,-18,12,-20])==-52 assert sum_negativenum([19, -65, 57, 39, 152,-639, 121, 44, 90, -190])==-894
doubao	'sum_negativenum = lambda lst: sum(i for i in lst if i < 0)' [DONE]	pass 测试用例：assert sum_negativenum([2, 4, -6, -9, 11, -12, 14, -5, 17])==-32 assert sum_negativenum([10,15,-14,13,-18,12,-20])==-52 assert sum_negativenum([19, -65, 57, 39, 152,-639, 121, 44, 90, -190])==-894
minimax	```python def sum_negativenum(numbers): return sum(filter(lambda x: x < 0, numbers)) # Test cases assert sum_negativenum([2, 4, -6, -9, 11, -12, 14, -5, 17]) == -32 assert sum_negativenum([10, 15, -14, 13, -18, 12, -20]) == -52 assert sum_negativenum([19, -65, 57, 39, 152, -639, 121, 44, 90, -190]) == -894 ``` This function `sum_negativenum` uses a lambda function as a filter to select only the negative numbers from the given list and then calculates their sum using the built-in `sum` function. The test cases check that the function correctly calculates the sum of the negative numbers in each list.	pass 测试用例：assert sum_negativenum([2, 4, -6, -9, 11, -12, 14, -5, 17])==-32 assert sum_negativenum([10,15,-14,13,-18,12,-20])==-52 assert sum_negativenum([19, -65, 57, 39, 152,-639, 121, 44, 90, -190])==-894
kimi	Sure, let's write the code for 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 using heap queue algorithm ```python import heapq def heap_queue_largest(nums, n): largest_nums = heapq.nlargest(n, nums) return largest_nums ``` ### Task 4: Calculate the sum of negative numbers using lambda function ```python def sum_negativenum(nums): return sum(filter(lambda x: x < 0, nums)) ``` Now, let's test each function with the provided test cases. ```python # Task 1 Test 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 Test assert is_not_prime(2) == False assert is_not_prime(10) == True assert is_not_prime(35) == True # Task 3 Test 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 Test assert sum_negativenum([2, 4, -6, -9, 11, -12, 14, -5, 17]) == -32 assert sum_negativenum([10, 15, -14, 13, -18, 12, -20]) == -52 assert sum_negativenum([19, -65, 57, 39, 152, -639, 121, 44, 90, -190]) == -894 ``` If you run this code, all the assertions should pass, indicating that the functions are working correctly.	failed 测试用例：assert sum_negativenum([2, 4, -6, -9, 11, -12, 14, -5, 17])==-32 assert sum_negativenum([10,15,-14,13,-18,12,-20])==-52 assert sum_negativenum([19, -65, 57, 39, 152,-639, 121, 44, 90, -190])==-894
wenxinyiyan	'def sum_negativenum(lst): return sum(filter(lambda x: x < 0, lst))' [DONE] Explanation: The `sum_negativenum` function takes a list `lst` as input. It uses the `filter` function along with a lambda function to filter out the negative numbers from the list. The lambda function `lambda x: x < 0` checks if each element `x` in the list is less than 0 (i.e., negative). The `filter` function applies this lambda function to each element in the list and returns an iterator containing only the elements that satisfy the condition (i.e., the negative numbers). Finally, the `sum` function is used to calculate the sum of the negative numbers in the filtered iterator, and the result is returned.	pass 测试用例：assert sum_negativenum([2, 4, -6, -9, 11, -12, 14, -5, 17])==-32 assert sum_negativenum([10,15,-14,13,-18,12,-20])==-52 assert sum_negativenum([19, -65, 57, 39, 152,-639, 121, 44, 90, -190])==-894
zhipu	To achieve the task of calculating the sum of negative numbers in a given list using a lambda function, we can use the `filter` function to filter out the negative numbers and then use the `sum` function to sum them up. Here's the implementation: ```python def sum_negativenum(nums): return sum(filter(lambda x: x < 0, nums)) # Test cases assert sum_negativenum([2, 4, -6, -9, 11, -12, 14, -5, 17]) == -32 assert sum_negativenum([10, 15, -14, 13, -18, 12, -20]) == -52 assert sum_negativenum([19, -65, 57, 39, 152, -639, 121, 44, 90, -190]) == -894 ``` This function works as follows: 1. `filter(lambda x: x < 0, nums)` filters the list `nums` to include only the elements that are less than 0 (i.e., negative numbers). 2. `sum(...)` then sums up the filtered negative numbers. You can run the provided test cases to verify that the function works correctly. Each assertion checks that the function returns the expected sum of negative numbers for the given input list.	pass 测试用例：assert sum_negativenum([2, 4, -6, -9, 11, -12, 14, -5, 17])==-32 assert sum_negativenum([10,15,-14,13,-18,12,-20])==-52 assert sum_negativenum([19, -65, 57, 39, 152,-639, 121, 44, 90, -190])==-894
gpto1	'def sum_negativenum(nums): return sum(filter(lambda x: x < 0, nums))' [DONE]	pass 测试用例：assert sum_negativenum([2, 4, -6, -9, 11, -12, 14, -5, 17])==-32 assert sum_negativenum([10,15,-14,13,-18,12,-20])==-52 assert sum_negativenum([19, -65, 57, 39, 152,-639, 121, 44, 90, -190])==-894
deepseekv3	To calculate the sum of the negative numbers in a given list using a lambda function, you can use the `filter` function along with a lambda to filter out the negative numbers, and then use the `sum` function to calculate their sum. Here's the implementation: ```python def sum_negativenum(nums): return sum(filter(lambda x: x < 0, nums)) ``` ### Explanation: 1. `filter(lambda x: x < 0, nums)`: This filters the list `nums` and keeps only the elements that are less than 0 (i.e., negative numbers). 2. `sum(...)`: This calculates the sum of the filtered negative numbers. ### Test Cases: ```python assert sum_negativenum([2, 4, -6, -9, 11, -12, 14, -5, 17]) == -32 assert sum_negativenum([10,15,-14,13,-18,12,-20]) == -52 assert sum_negativenum([19, -65, 57, 39, 152,-639, 121, 44, 90, -190]) == -894 ``` These test cases should pass successfully with the provided function.	pass 测试用例：assert sum_negativenum([2, 4, -6, -9, 11, -12, 14, -5, 17])==-32 assert sum_negativenum([10,15,-14,13,-18,12,-20])==-52 assert sum_negativenum([19, -65, 57, 39, 152,-639, 121, 44, 90, -190])==-894

模型

模型答案

测试结果

金声玉亮2.0

```python
sum_negativenum = lambda nums: sum(filter(lambda x: x < 0, nums))
```
[DONE]

pass
测试用例：assert sum_negativenum([2, 4, -6, -9, 11, -12, 14, -5, 17])==-32
assert sum_negativenum([10,15,-14,13,-18,12,-20])==-52
assert sum_negativenum([19, -65, 57, 39, 152,-639, 121, 44, 90, -190])==-894

deepseekr1

[BEGIN]
def sum_negativenum(nums):
return sum(filter(lambda x: x < 0, nums))
[DONE]

gpto1

'def sum_negativenum(nums):
return sum(filter(lambda x: x < 0, nums))'
[DONE]

GPT-4o

```python
def sum_negativenum(nums):
# Use filter with a lambda function to get only negative numbers
negative_nums = filter(lambda x: x < 0, nums)
# Sum the filtered negative numbers
return sum(negative_nums)

# Tests
assert sum_negativenum([2, 4, -6, -9, 11, -12, 14, -5, 17]) == -32
assert sum_negativenum([10, 15, -14, 13, -18, 12, -20]) == -52
assert sum_negativenum([19, -65, 57, 39, 152, -639, 121, 44, 90, -190]) == -894
```

This function uses the `filter` function combined with a lambda to identify the negative numbers in the list. It then sums these negative numbers and returns the result. This should pass the given tests.

llama3.1-70B-Instruct

def sum_negativenum(lst):
return sum(filter(lambda x: x < 0, lst))

llama3.1-405B-Instruct

def sum_negativenum(lst):
return sum(filter(lambda x: x < 0, lst))

DeepSeek-Coder-V2

```python
sum_negativenum = lambda nums: sum(filter(lambda x: x < 0, nums))
```
[DONE]

Qwen2-72B-Instruct

'def sum_negativenum(lst):
sum_neg = filter(lambda x: x < 0, lst)
return sum(sum_neg)'
[DONE]

baichuan4

Here's the function to calculate the sum of negative numbers in a given list using a lambda function:

```python
def sum_negativenum(nums):
return sum(filter(lambda x: x < 0, nums))
```

This function uses the `filter` function to filter out negative numbers from the list and then uses the `sum` function to calculate their sum. The `lambda` function is used to define the condition for filtering.

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

```python
assert sum_negativenum([2, 4, -6, -9, 11, -12, 14, -5, 17]) == -32
assert sum_negativenum([10, 15, -14, 13, -18, 12, -20]) == -52
assert sum_negativenum([19, -65, 57, 39, 152, -639, 121, 44, 90, -190]) == -894
```

All the test cases pass successfully, indicating that the function works correctly.

doubao

'sum_negativenum = lambda lst: sum(i for i in lst if i < 0)'
[DONE]

minimax

```python
def sum_negativenum(numbers):
return sum(filter(lambda x: x < 0, numbers))

# Test cases
assert sum_negativenum([2, 4, -6, -9, 11, -12, 14, -5, 17]) == -32
assert sum_negativenum([10, 15, -14, 13, -18, 12, -20]) == -52
assert sum_negativenum([19, -65, 57, 39, 152, -639, 121, 44, 90, -190]) == -894
```

This function `sum_negativenum` uses a lambda function as a filter to select only the negative numbers from the given list and then calculates their sum using the built-in `sum` function. The test cases check that the function correctly calculates the sum of the negative numbers in each list.

kimi

Sure, let's write the code for 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 using heap queue algorithm

```python
import heapq

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

### Task 4: Calculate the sum of negative numbers using lambda function

```python
def sum_negativenum(nums):
return sum(filter(lambda x: x < 0, nums))
```

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

```python
# Task 1 Test
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 Test
assert is_not_prime(2) == False
assert is_not_prime(10) == True
assert is_not_prime(35) == True

# Task 3 Test
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 Test
assert sum_negativenum([2, 4, -6, -9, 11, -12, 14, -5, 17]) == -32
assert sum_negativenum([10, 15, -14, 13, -18, 12, -20]) == -52
assert sum_negativenum([19, -65, 57, 39, 152, -639, 121, 44, 90, -190]) == -894
```

If you run this code, all the assertions should pass, indicating that the functions are working correctly.

failed
测试用例：assert sum_negativenum([2, 4, -6, -9, 11, -12, 14, -5, 17])==-32
assert sum_negativenum([10,15,-14,13,-18,12,-20])==-52
assert sum_negativenum([19, -65, 57, 39, 152,-639, 121, 44, 90, -190])==-894

wenxinyiyan

'def sum_negativenum(lst):
return sum(filter(lambda x: x < 0, lst))'
[DONE]

Explanation:
The `sum_negativenum` function takes a list `lst` as input. It uses the `filter` function along with a lambda function to filter out the negative numbers from the list. The lambda function `lambda x: x < 0` checks if each element `x` in the list is less than 0 (i.e., negative). The `filter` function applies this lambda function to each element in the list and returns an iterator containing only the elements that satisfy the condition (i.e., the negative numbers). Finally, the `sum` function is used to calculate the sum of the negative numbers in the filtered iterator, and the result is returned.

zhipu

To achieve the task of calculating the sum of negative numbers in a given list using a lambda function, we can use the `filter` function to filter out the negative numbers and then use the `sum` function to sum them up. Here's the implementation:

```python
def sum_negativenum(nums):
return sum(filter(lambda x: x < 0, nums))

# Test cases
assert sum_negativenum([2, 4, -6, -9, 11, -12, 14, -5, 17]) == -32
assert sum_negativenum([10, 15, -14, 13, -18, 12, -20]) == -52
assert sum_negativenum([19, -65, 57, 39, 152, -639, 121, 44, 90, -190]) == -894
```

This function works as follows:
1. `filter(lambda x: x < 0, nums)` filters the list `nums` to include only the elements that are less than 0 (i.e., negative numbers).
2. `sum(...)` then sums up the filtered negative numbers.

You can run the provided test cases to verify that the function works correctly. Each assertion checks that the function returns the expected sum of negative numbers for the given input list.

gpto1

'def sum_negativenum(nums):
return sum(filter(lambda x: x < 0, nums))'
[DONE]

deepseekv3

To calculate the sum of the negative numbers in a given list using a lambda function, you can use the `filter` function along with a lambda to filter out the negative numbers, and then use the `sum` function to calculate their sum. Here's the implementation:

```python
def sum_negativenum(nums):
return sum(filter(lambda x: x < 0, nums))
```

### Explanation:
1. **`filter(lambda x: x < 0, nums)`**: This filters the list `nums` and keeps only the elements that are less than 0 (i.e., negative numbers).
2. **`sum(...)`**: This calculates the sum of the filtered negative numbers.

### Test Cases:
```python
assert sum_negativenum([2, 4, -6, -9, 11, -12, 14, -5, 17]) == -32
assert sum_negativenum([10,15,-14,13,-18,12,-20]) == -52
assert sum_negativenum([19, -65, 57, 39, 152,-639, 121, 44, 90, -190]) == -894
```

These test cases should pass successfully with the provided function.