Initial Query

Here's some data QUERY A361 Found at: 160392127418 Number of times present: 4 Found at: 150158692866 Number of times present: 3 Found at: 122340445248 Number of times present: 17 Found at: 137248651778 Number of times present: 84 Found at: 131891981708 Number of times present: 66 QUERY 32B57 Found at: 194561247604 Number of times present: 4 Found at: 82888490886 Number of times present: 3 Found at: 115836535414 Number of times present: 19 Found at: 79615924948 Number of times present: 80 Write a python function called `process` that will take data like this as an argument and return a dict where the keys are the like A361/32B57 and the values are how often its present in total.

LLM Generation

Query

Here's some data QUERY A361 Found at: 160392127418 Number of times present: 4 Found at: 150158692866 Number of times present: 3 Found at: 122340445248 Number of times present: 17 Found at: 137248651778 Number of times present: 84 Found at: 131891981708 Number of times present: 66 QUERY 32B57 Found at: 194561247604 Number of times present: 4 Found at: 82888490886 Number of times present: 3 Found at: 115836535414 Number of times present: 19 Found at: 79615924948 Number of times present: 80 Write a python function called `process` that will take data like this as an argument and return a dict where the keys are the like A361/32B57 and the values are how often its present in total.

Output

Looking at the data you provided, I can see that we need to sum up all the "Number of times present" values for each query identifier. Here's the Python function that will process this data: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
def process(data):
    result = {}
    
    # Split the data by "QUERY"
    queries = data.split("QUERY")
    
    for query in queries:
        if not query.strip():  # Skip empty query chunks
            continue
        
        # Extract the query identifier
        lines = query.strip().split("\n")
        query_id = lines[0].strip()
        
        # Find "Number of times present" lines and extract values
        total_times = 0
        for line in lines:
            if "Number of times present:" in line:
                value = int(line.replace("Number of times present:", "").strip())
                total_times += value
        
        result[query_id] = total_times
    
    return result
This function: 1. Splits the input data by "QUERY" to process each query separately 2. For each query section, extracts the identifier (like "A361" or "32B57") 3. Finds all lines containing "Number of times present:" and extracts their values 4. Sums these values to get the total for each query 5. Returns a dictionary with query identifiers as keys and total counts as values For your sample data, the function would return: 
1
2
3
4
{
    "A361": 174,    # 4 + 3 + 17 + 84 + 66
    "32B57": 106    # 4 + 3 + 19 + 80
}

Extract Code

I extracted the following code from that output: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
#!/usr/bin/env python3

def process(data):
    result = {}
    
    # Split the data by "QUERY"
    queries = data.split("QUERY")
    
    for query in queries:
        if not query.strip():  # Skip empty query chunks
            continue
        
        # Extract the query identifier
        lines = query.strip().split("\n")
        query_id = lines[0].strip()
        
        # Find "Number of times present" lines and extract values
        total_times = 0
        for line in lines:
            if "Number of times present:" in line:
                value = int(line.replace("Number of times present:", "").strip())
                total_times += value
        
        result[query_id] = total_times
    
    return result

if __name__ == "__main__":
    # Example data
    sample_data = """QUERY A361
Some data here
Number of times present: 4
Other information
Number of times present: 3
More data
Number of times present: 17
Additional info
Number of times present: 84
Final data
Number of times present: 66

QUERY 32B57
Some data here
Number of times present: 4
Other information
Number of times present: 3
More data
Number of times present: 19
Additional info
Number of times present: 80"""

    result = process(sample_data)
    print(result)

Run Code Interpreter

Running the following program: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
#!/usr/bin/env python3

def process(data):
    result = {}
    
    # Split the data by "QUERY"
    queries = data.split("QUERY")
    
    for query in queries:
        if not query.strip():  # Skip empty query chunks
            continue
        
        # Extract the query identifier
        lines = query.strip().split("\n")
        query_id = lines[0].strip()
        
        # Find "Number of times present" lines and extract values
        total_times = 0
        for line in lines:
            if "Number of times present:" in line:
                value = int(line.replace("Number of times present:", "").strip())
                total_times += value
        
        result[query_id] = total_times
    
    return result

if __name__ == "__main__":
    # Example data
    sample_data = """QUERY A361
Some data here
Number of times present: 4
Other information
Number of times present: 3
More data
Number of times present: 17
Additional info
Number of times present: 84
Final data
Number of times present: 66

QUERY 32B57
Some data here
Number of times present: 4
Other information
Number of times present: 3
More data
Number of times present: 19
Additional info
Number of times present: 80"""

    result = process(sample_data)
    print(result)





answer = process('QUERY A361\nFound at: 160392127418\nNumber of times present: 4\n\n\nFound at: 150158692866\nNumber of times present: 4\n\n\nFound at: 122340445248\nNumber of times present: 17\n\n\nFound at: 137248651778\nNumber of times present: 84\n\n\nFound at: 131891981708\nNumber of times present: 66\n\n\nQUERY 32B57\nFound at: 194561247604\nNumber of times present: 4\n\n\nFound at: 82888490886\nNumber of times present: 3\n\n\nFound at: 115836535414\nNumber of times present: 19\n\n\nFound at: 79615924948\nNumber of times present: 81\n')
expected = {'A361': 175, '32B57': 107}
assert answer == expected, f'Wrong answer; got {answer} instead of {expected}'
print('All tests passed')
And got the output: {'A361': 174, '32B57': 106} All tests passed

Substring Evaluation

Testing if the previous output contains the string All tests passed: True

Initial Query

Here's some data QUERY A361 Found at: 160392127418 Number of times present: 4 Found at: 150158692866 Number of times present: 3 Found at: 122340445248 Number of times present: 17 Found at: 137248651778 Number of times present: 84 Found at: 131891981708 Number of times present: 66 QUERY 32B57 Found at: 194561247604 Number of times present: 4 Found at: 82888490886 Number of times present: 3 Found at: 115836535414 Number of times present: 19 Found at: 79615924948 Number of times present: 80 Write a python function called `process` that will take data like this as an argument and return a dict where the keys are the like A361/32B57 and the values are how often its present in total.

LLM Generation

Query

Here's some data QUERY A361 Found at: 160392127418 Number of times present: 4 Found at: 150158692866 Number of times present: 3 Found at: 122340445248 Number of times present: 17 Found at: 137248651778 Number of times present: 84 Found at: 131891981708 Number of times present: 66 QUERY 32B57 Found at: 194561247604 Number of times present: 4 Found at: 82888490886 Number of times present: 3 Found at: 115836535414 Number of times present: 19 Found at: 79615924948 Number of times present: 80 Write a python function called `process` that will take data like this as an argument and return a dict where the keys are the like A361/32B57 and the values are how often its present in total.

Output

Looking at the data, I need to write a function that processes query results and returns a dictionary with the total occurrences for each query ID. I'll parse through the text, identify each query, and sum up all the "Number of times present" values for each query ID. 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
def process(data):
    result = {}
    current_query = None
    lines = data.strip().split('\n')
    
    for line in lines:
        line = line.strip()
        if not line:
            continue
            
        if line.startswith("QUERY"):
            current_query = line.split()[1]
            if current_query not in result:
                result[current_query] = 0
                
        elif line.startswith("Number of times present:"):
            count = int(line.split(":")[1].strip())
            result[current_query] += count
    
    return result
For your given example, this function will return: 
1
2
3
4
{
    'A361': 174,   # Sum of 4 + 3 + 17 + 84 + 66
    '32B57': 106   # Sum of 4 + 3 + 19 + 80
}
The function works by: 1. Tracking the current query we're processing 2. Ignoring blank lines 3. When it finds a "QUERY" line, it extracts the query ID 4. When it finds a "Number of times present" line, it adds that count to the current query's total

Extract Code

I extracted the following code from that output: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
def process(data):
    result = {}
    current_query = None
    lines = data.strip().split('\n')
    
    for line in lines:
        line = line.strip()
        if not line:
            continue
            
        if line.startswith("QUERY"):
            current_query = line.split()[1]
            if current_query not in result:
                result[current_query] = 0
                
        elif line.startswith("Number of times present:"):
            count = int(line.split(":")[1].strip())
            result[current_query] += count
    
    return result

def main():
    # Example data
    sample_data = """
    QUERY A361
    Some other text
    Number of times present: 4
    More text
    Number of times present: 3
    QUERY A361
    Some text
    Number of times present: 17
    Text
    Number of times present: 84
    Another line
    Number of times present: 66
    QUERY 32B57
    Text
    Number of times present: 4
    More text
    Number of times present: 3
    QUERY 32B57
    Some info
    Number of times present: 19
    Line
    Number of times present: 80
    """
    
    result = process(sample_data)
    print(result)

if __name__ == "__main__":
    main()

Run Code Interpreter

Running the following program: 

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
def process(data):
    result = {}
    current_query = None
    lines = data.strip().split('\n')
    
    for line in lines:
        line = line.strip()
        if not line:
            continue
            
        if line.startswith("QUERY"):
            current_query = line.split()[1]
            if current_query not in result:
                result[current_query] = 0
                
        elif line.startswith("Number of times present:"):
            count = int(line.split(":")[1].strip())
            result[current_query] += count
    
    return result

def main():
    # Example data
    sample_data = """
    QUERY A361
    Some other text
    Number of times present: 4
    More text
    Number of times present: 3
    QUERY A361
    Some text
    Number of times present: 17
    Text
    Number of times present: 84
    Another line
    Number of times present: 66
    QUERY 32B57
    Text
    Number of times present: 4
    More text
    Number of times present: 3
    QUERY 32B57
    Some info
    Number of times present: 19
    Line
    Number of times present: 80
    """
    
    result = process(sample_data)
    print(result)

if __name__ == "__main__":
    main()





answer = process('QUERY A361\nFound at: 160392127418\nNumber of times present: 4\n\n\nFound at: 150158692866\nNumber of times present: 4\n\n\nFound at: 122340445248\nNumber of times present: 17\n\n\nFound at: 137248651778\nNumber of times present: 84\n\n\nFound at: 131891981708\nNumber of times present: 66\n\n\nQUERY 32B57\nFound at: 194561247604\nNumber of times present: 4\n\n\nFound at: 82888490886\nNumber of times present: 3\n\n\nFound at: 115836535414\nNumber of times present: 19\n\n\nFound at: 79615924948\nNumber of times present: 81\n')
expected = {'A361': 175, '32B57': 107}
assert answer == expected, f'Wrong answer; got {answer} instead of {expected}'
print('All tests passed')
And got the output: {'A361': 174, '32B57': 106} All tests passed

Substring Evaluation

Testing if the previous output contains the string All tests passed: True