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

Here's a Python function that processes the data and returns a dictionary with the total counts: 

 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
def process(data):
    result = {}
    current_query = None
    total = 0
    
    # Split the data into lines
    lines = data.strip().split('\n')
    
    for line in lines:
        line = line.strip()
        if not line:  # Skip empty lines
            continue
            
        if line.startswith('QUERY'):
            if current_query and total > 0:  # Save previous query's total
                result[current_query] = total
            current_query = line.split()[1]  # Get query ID
            total = 0
        elif line.startswith('Number of times present:'):
            count = int(line.split(':')[1].strip())
            total += count
            
    # Don't forget to add the last query
    if current_query and total > 0:
        result[current_query] = total
        
    return result
This function will: 1. Take a string input containing the data 2. Process it line by line 3. Keep track of the current query and running total 4. Return a dictionary with the query IDs and their total counts For your example data, it would return: 
1
2
3
4
{
    'A361': 174,  # 4 + 3 + 17 + 84 + 66
    '32B57': 106  # 4 + 3 + 19 + 80
}
You can use it like this: 
 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
data = """QUERY A361
Found at: 160392127418
Number of times present: 4

Found at: 150158692866
Number of times present: 3

...
"""

result = process(data)
print(result)

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
54
55
56
57
58
59
60
61
62
63
def process(data):
    result = {}
    current_query = None
    total = 0
    
    # Split the data into lines
    lines = data.strip().split('\n')
    
    for line in lines:
        line = line.strip()
        if not line:  # Skip empty lines
            continue
            
        if line.startswith('QUERY'):
            if current_query and total > 0:  # Save previous query's total
                result[current_query] = total
            current_query = line.split()[1]  # Get query ID
            total = 0
        elif line.startswith('Number of times present:'):
            count = int(line.split(':')[1].strip())
            total += count
            
    # Don't forget to add the last query
    if current_query and total > 0:
        result[current_query] = total
        
    return result

def main():
    data = """QUERY A361
Found at: 160392127418
Number of times present: 4

Found at: 150158692866
Number of times present: 3

Found at: 150158692866
Number of times present: 17

Found at: 150158692866
Number of times present: 84

Found at: 150158692866 
Number of times present: 66

QUERY 32B57
Found at: 160392127418
Number of times present: 4

Found at: 150158692866
Number of times present: 3

Found at: 150158692866
Number of times present: 19

Found at: 150158692866
Number of times present: 80"""

    result = process(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
63
64
65
66
67
68
69
70
71
72
def process(data):
    result = {}
    current_query = None
    total = 0
    
    # Split the data into lines
    lines = data.strip().split('\n')
    
    for line in lines:
        line = line.strip()
        if not line:  # Skip empty lines
            continue
            
        if line.startswith('QUERY'):
            if current_query and total > 0:  # Save previous query's total
                result[current_query] = total
            current_query = line.split()[1]  # Get query ID
            total = 0
        elif line.startswith('Number of times present:'):
            count = int(line.split(':')[1].strip())
            total += count
            
    # Don't forget to add the last query
    if current_query and total > 0:
        result[current_query] = total
        
    return result

def main():
    data = """QUERY A361
Found at: 160392127418
Number of times present: 4

Found at: 150158692866
Number of times present: 3

Found at: 150158692866
Number of times present: 17

Found at: 150158692866
Number of times present: 84

Found at: 150158692866 
Number of times present: 66

QUERY 32B57
Found at: 160392127418
Number of times present: 4

Found at: 150158692866
Number of times present: 3

Found at: 150158692866
Number of times present: 19

Found at: 150158692866
Number of times present: 80"""

    result = process(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

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

Here's a Python function that processes that data format and returns a dictionary with the total occurrences for each query: 

 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
def process(data):
    result = {}
    current_query = None
    
    # Split the data into lines
    lines = data.strip().split('\n')
    
    for line in lines:
        line = line.strip()
        if not line:  # Skip empty lines
            continue
            
        if line.startswith('QUERY'):
            current_query = line.split()[1]
            result[current_query] = 0
        elif line.startswith('Number of times present:'):
            count = int(line.split(':')[1].strip())
            result[current_query] += count
            
    return result

# Example usage:
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"""

result = process(data)
print(result)  # {'A361': 174, '32B57': 106}
This function: 1. Creates an empty dictionary to store the results 2. Splits the input string into lines 3. Iterates through the lines: - When it finds a line starting with "QUERY", it stores the query identifier - When it finds a line with "Number of times present:", it adds that count to the running total for the current query 4. Returns the dictionary with the total counts for each query The result will be a dictionary where each key is a query identifier (like 'A361' or '32B57') and each value is the sum of all "Number of times present" values for that query.

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
54
55
56
57
58
59
60
61
def process(data):
    result = {}
    current_query = None
    
    # Split the data into lines
    lines = data.strip().split('\n')
    
    for line in lines:
        line = line.strip()
        if not line:  # Skip empty lines
            continue
            
        if line.startswith('QUERY'):
            current_query = line.split()[1]
            result[current_query] = 0
        elif line.startswith('Number of times present:'):
            count = int(line.split(':')[1].strip())
            result[current_query] += count
            
    return result

# Example usage:
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"""

result = process(data)
print(result)  # {'A361': 174, '32B57': 106}

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
63
64
65
66
67
68
69
70
def process(data):
    result = {}
    current_query = None
    
    # Split the data into lines
    lines = data.strip().split('\n')
    
    for line in lines:
        line = line.strip()
        if not line:  # Skip empty lines
            continue
            
        if line.startswith('QUERY'):
            current_query = line.split()[1]
            result[current_query] = 0
        elif line.startswith('Number of times present:'):
            count = int(line.split(':')[1].strip())
            result[current_query] += count
            
    return result

# Example usage:
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"""

result = process(data)
print(result)  # {'A361': 174, '32B57': 106}





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

Here's a Python function that processes the data as requested: 

 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
def process(data):
    result = {}
    current_query = None
    total = 0
    
    # Split the input into lines
    lines = data.strip().split('\n')
    
    for line in lines:
        line = line.strip()
        if not line:  # Skip empty lines
            continue
            
        if line.startswith('QUERY'):
            # If we were processing a previous query, add its total
            if current_query is not None:
                result[current_query] = total
            
            # Start processing new query
            current_query = line.split()[1]
            total = 0
            
        elif line.startswith('Number of times present:'):
            # Extract the number and add to total
            number = int(line.split(':')[1].strip())
            total += number
            
    # Don't forget to add the last query's total
    if current_query is not None:
        result[current_query] = total
        
    return result
This function will: 1. Take a string input containing the data 2. Process it line by line 3. Keep track of the current query being processed 4. Sum up all the "Number of times present" values for each query 5. Return a dictionary with queries as keys and total occurrences as values For your example data, it would return something like: 
1
2
3
4
{
    'A361': 174,  # 4 + 3 + 17 + 84 + 66
    '32B57': 106  # 4 + 3 + 19 + 80
}
You can use it like this: 
 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
data = """QUERY A361
Found at: 160392127418
Number of times present: 4

Found at: 150158692866
Number of times present: 3
...
"""

result = process(data)
print(result)

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
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
def process(data):
    result = {}
    current_query = None
    total = 0
    
    # Split the input into lines
    lines = data.strip().split('\n')
    
    for line in lines:
        line = line.strip()
        if not line:  # Skip empty lines
            continue
            
        if line.startswith('QUERY'):
            # If we were processing a previous query, add its total
            if current_query is not None:
                result[current_query] = total
            
            # Start processing new query
            current_query = line.split()[1]
            total = 0
            
        elif line.startswith('Number of times present:'):
            # Extract the number and add to total
            number = int(line.split(':')[1].strip())
            total += number
            
    # Don't forget to add the last query's total
    if current_query is not None:
        result[current_query] = total
        
    return result

def main():
    data = """QUERY A361
Found at: 160392127418
Number of times present: 4

Found at: 150158692866
Number of times present: 3

Found at: 145806367561
Number of times present: 17

Found at: 145806367561
Number of times present: 84

Found at: 145806367561
Number of times present: 66

QUERY 32B57
Found at: 160392127418
Number of times present: 4

Found at: 150158692866
Number of times present: 3

Found at: 145806367561
Number of times present: 19

Found at: 145806367561
Number of times present: 80"""

    result = process(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
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
def process(data):
    result = {}
    current_query = None
    total = 0
    
    # Split the input into lines
    lines = data.strip().split('\n')
    
    for line in lines:
        line = line.strip()
        if not line:  # Skip empty lines
            continue
            
        if line.startswith('QUERY'):
            # If we were processing a previous query, add its total
            if current_query is not None:
                result[current_query] = total
            
            # Start processing new query
            current_query = line.split()[1]
            total = 0
            
        elif line.startswith('Number of times present:'):
            # Extract the number and add to total
            number = int(line.split(':')[1].strip())
            total += number
            
    # Don't forget to add the last query's total
    if current_query is not None:
        result[current_query] = total
        
    return result

def main():
    data = """QUERY A361
Found at: 160392127418
Number of times present: 4

Found at: 150158692866
Number of times present: 3

Found at: 145806367561
Number of times present: 17

Found at: 145806367561
Number of times present: 84

Found at: 145806367561
Number of times present: 66

QUERY 32B57
Found at: 160392127418
Number of times present: 4

Found at: 150158692866
Number of times present: 3

Found at: 145806367561
Number of times present: 19

Found at: 145806367561
Number of times present: 80"""

    result = process(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

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

Here's a Python function that processes the data and returns a dictionary with the total counts: 

 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
def process(data):
    result = {}
    current_query = None
    total = 0
    
    # Split the data into lines
    lines = data.strip().split('\n')
    
    for line in lines:
        if line.startswith('QUERY'):
            # If we were tracking a previous query, add its total to result
            if current_query is not None:
                result[current_query] = total
            
            # Start tracking new query
            current_query = line.split()[1]
            total = 0
            
        elif line.startswith('Number of times present:'):
            # Add to total count
            count = int(line.split(':')[1].strip())
            total += count
    
    # Don't forget to add the last query's total
    if current_query is not None:
        result[current_query] = total
        
    return result

# Example usage:
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"""

result = process(data)
# Result would be: {'A361': 174, '32B57': 106}
This function: 1. Takes a string input containing the data 2. Initializes an empty dictionary to store results 3. Processes the data line by line 4. When it finds a "QUERY" line, it starts tracking a new query 5. When it finds a "Number of times present" line, it adds that count to the current query's total 6. Returns a dictionary where each key is a query ID and each value is the total number of times that query was present For the example data provided, it 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
54
55
56
57
58
59
60
61
62
63
64
def process(data):
    result = {}
    current_query = None
    total = 0
    
    # Split the data into lines
    lines = data.strip().split('\n')
    
    for line in lines:
        if line.startswith('QUERY'):
            # If we were tracking a previous query, add its total to result
            if current_query is not None:
                result[current_query] = total
            
            # Start tracking new query
            current_query = line.split()[1]
            total = 0
            
        elif line.startswith('Number of times present:'):
            # Add to total count
            count = int(line.split(':')[1].strip())
            total += count
    
    # Don't forget to add the last query's total
    if current_query is not None:
        result[current_query] = total
        
    return result

def main():
    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"""

    result = process(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
63
64
65
66
67
68
69
70
71
72
73
def process(data):
    result = {}
    current_query = None
    total = 0
    
    # Split the data into lines
    lines = data.strip().split('\n')
    
    for line in lines:
        if line.startswith('QUERY'):
            # If we were tracking a previous query, add its total to result
            if current_query is not None:
                result[current_query] = total
            
            # Start tracking new query
            current_query = line.split()[1]
            total = 0
            
        elif line.startswith('Number of times present:'):
            # Add to total count
            count = int(line.split(':')[1].strip())
            total += count
    
    # Don't forget to add the last query's total
    if current_query is not None:
        result[current_query] = total
        
    return result

def main():
    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"""

    result = process(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

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

Here's a Python function that processes the data and returns a dictionary with the total counts for each query: 

 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
    
    # Split the data into lines and process each line
    for line in data.strip().split('\n'):
        # Skip empty lines
        if not line:
            continue
            
        # If line starts with "QUERY", it's a new query identifier
        if line.startswith('QUERY'):
            current_query = line.split()[1]
            result[current_query] = 0
        # If line starts with "Number of times present:", add to the count
        elif "Number of times present:" in line:
            count = int(line.split(':')[1].strip())
            result[current_query] += count
            
    return result
This function will: 1. Create an empty dictionary to store results 2. Keep track of the current query being processed 3. Split the input string into lines 4. For each line: - If it starts with "QUERY", store the query identifier - If it contains "Number of times present:", add that number to the running total for the current query 5. Return the dictionary with total counts For your example data, it would return: 
1
2
3
4
{
    'A361': 174,  # (4 + 3 + 17 + 84 + 66)
    '32B57': 106  # (4 + 3 + 19 + 80)
}
You can use it like this: 
 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
data = """QUERY A361
Found at: 160392127418
Number of times present: 4

Found at: 150158692866
Number of times present: 3
...
"""  # your full data string here

result = process(data)
print(result)

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
54
55
56
57
def process(data):
    result = {}
    current_query = None
    
    # Split the data into lines and process each line
    for line in data.strip().split('\n'):
        # Skip empty lines
        if not line:
            continue
            
        # If line starts with "QUERY", it's a new query identifier
        if line.startswith('QUERY'):
            current_query = line.split()[1]
            result[current_query] = 0
        # If line starts with "Number of times present:", add to the count
        elif "Number of times present:" in line:
            count = int(line.split(':')[1].strip())
            result[current_query] += count
            
    return result

def main():
    # Example data
    data = """QUERY A361
Found at: 160392127418
Number of times present: 4

Found at: 150158692866
Number of times present: 3

Found at: 150158692866
Number of times present: 17

Found at: 150158692866
Number of times present: 84

Found at: 150158692866
Number of times present: 66

QUERY 32B57
Found at: 160392127418
Number of times present: 4

Found at: 150158692866
Number of times present: 3

Found at: 150158692866
Number of times present: 19

Found at: 150158692866
Number of times present: 80"""

    result = process(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
63
64
65
66
def process(data):
    result = {}
    current_query = None
    
    # Split the data into lines and process each line
    for line in data.strip().split('\n'):
        # Skip empty lines
        if not line:
            continue
            
        # If line starts with "QUERY", it's a new query identifier
        if line.startswith('QUERY'):
            current_query = line.split()[1]
            result[current_query] = 0
        # If line starts with "Number of times present:", add to the count
        elif "Number of times present:" in line:
            count = int(line.split(':')[1].strip())
            result[current_query] += count
            
    return result

def main():
    # Example data
    data = """QUERY A361
Found at: 160392127418
Number of times present: 4

Found at: 150158692866
Number of times present: 3

Found at: 150158692866
Number of times present: 17

Found at: 150158692866
Number of times present: 84

Found at: 150158692866
Number of times present: 66

QUERY 32B57
Found at: 160392127418
Number of times present: 4

Found at: 150158692866
Number of times present: 3

Found at: 150158692866
Number of times present: 19

Found at: 150158692866
Number of times present: 80"""

    result = process(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