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 does what you described: 

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def process(data):
    result = {}
    current_query = None
    
    for line in data.split('\n'):
        line = line.strip()
        
        if line.startswith('QUERY'):
            current_query = line.split()[1]
            result[current_query] = 0
        
        if 'Number of times present:' in line:
            count = int(line.split(':')[1].strip())
            result[current_query] += count
    
    return result
This function does the following: 1. Initialize an empty dictionary `result` to store the results 2. Keeps track of the current query with `current_query` 3. Splits the input data by newlines 4. When a line starts with 'QUERY', it sets the current query 5. When a line contains 'Number of times present:', it adds that number to the current query's total 6. Returns the dictionary with queries as keys and total counts as values Example usage: 
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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'''

print(process(data))
This would output: 
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{'A361': 174, '32B57': 106}
The function handles multiple results per query and works with any number of queries in the input data.

Extract Code

I extracted the following code from that output: 

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def process(data):
    result = {}
    current_query = None
    
    for line in data.split('\n'):
        line = line.strip()
        
        if line.startswith('QUERY'):
            current_query = line.split()[1]
            result[current_query] = 0
        
        if 'Number of times present:' in line:
            count = int(line.split(':')[1].strip())
            result[current_query] += count
    
    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'''

    print(process(data))

if __name__ == "__main__":
    main()

Run Code Interpreter

Running the following program: 

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def process(data):
    result = {}
    current_query = None
    
    for line in data.split('\n'):
        line = line.strip()
        
        if line.startswith('QUERY'):
            current_query = line.split()[1]
            result[current_query] = 0
        
        if 'Number of times present:' in line:
            count = int(line.split(':')[1].strip())
            result[current_query] += count
    
    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'''

    print(process(data))

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 accomplishes this: 

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def process(data):
    # Split the data into lines
    lines = data.split('\n')
    
    # Initialize a dictionary to store results
    results = {}
    
    # Track the current query
    current_query = None
    total_occurrences = 0
    
    for line in lines:
        # Strip whitespace
        line = line.strip()
        
        # Skip empty lines
        if not line:
            continue
        
        # Check if this is a new query
        if line.startswith('QUERY'):
            # If we were tracking a previous query, save its total
            if current_query:
                results[current_query] = total_occurrences
            
            # Start tracking a new query
            current_query = line.split()[1]
            total_occurrences = 0
        
        # Check for number of times present
        elif 'Number of times present:' in line:
            # Extract the number and add to total
            occurrences = int(line.split(':')[1].strip())
            total_occurrences += occurrences
    
    # Save the last query's total
    if current_query:
        results[current_query] = total_occurrences
    
    return results
This function does the following: 1. Splits the input data into lines 2. Goes through the lines line by line 3. When it finds a QUERY line, it starts tracking a new query 4. When it finds a "Number of times present" line, it adds that number to the total for the current query 5. When a new query is found, it saves the total for the previous query 6. Returns a dictionary with queries as keys and their total occurrences as values You can use it like this: 
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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'''

print(process(data))
This would output: 
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{'A361': 174, '32B57': 106}
The function handles multiple occurrences, multiple lines for each query, and works with varying input formats.

Extract Code

I extracted the following code from that output: 

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def process(data):
    # Split the data into lines
    lines = data.split('\n')
    
    # Initialize a dictionary to store results
    results = {}
    
    # Track the current query
    current_query = None
    total_occurrences = 0
    
    for line in lines:
        # Strip whitespace
        line = line.strip()
        
        # Skip empty lines
        if not line:
            continue
        
        # Check if this is a new query
        if line.startswith('QUERY'):
            # If we were tracking a previous query, save its total
            if current_query:
                results[current_query] = total_occurrences
            
            # Start tracking a new query
            current_query = line.split()[1]
            total_occurrences = 0
        
        # Check for number of times present
        elif 'Number of times present:' in line:
            # Extract the number and add to total
            occurrences = int(line.split(':')[1].strip())
            total_occurrences += occurrences
    
    # Save the last query's total
    if current_query:
        results[current_query] = total_occurrences
    
    return results

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'''

    print(process(data))

if __name__ == "__main__":
    main()

Run Code Interpreter

Running the following program: 

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def process(data):
    # Split the data into lines
    lines = data.split('\n')
    
    # Initialize a dictionary to store results
    results = {}
    
    # Track the current query
    current_query = None
    total_occurrences = 0
    
    for line in lines:
        # Strip whitespace
        line = line.strip()
        
        # Skip empty lines
        if not line:
            continue
        
        # Check if this is a new query
        if line.startswith('QUERY'):
            # If we were tracking a previous query, save its total
            if current_query:
                results[current_query] = total_occurrences
            
            # Start tracking a new query
            current_query = line.split()[1]
            total_occurrences = 0
        
        # Check for number of times present
        elif 'Number of times present:' in line:
            # Extract the number and add to total
            occurrences = int(line.split(':')[1].strip())
            total_occurrences += occurrences
    
    # Save the last query's total
    if current_query:
        results[current_query] = total_occurrences
    
    return results

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'''

    print(process(data))

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 does exactly that: 

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def process(data):
    # Split the data into lines
    lines = data.split('\n')
    
    # Initialize a dictionary to store results
    result = {}
    
    # Variable to track current query
    current_query = None
    total_count = 0
    
    # Iterate through lines
    for line in lines:
        line = line.strip()
        
        # If line starts with QUERY, it's a new query
        if line.startswith('QUERY'):
            # If there was a previous query, save its total count
            if current_query:
                result[current_query] = total_count
            
            # Start a new query
            current_query = line.split()[1]
            total_count = 0
        
        # If line contains "Number of times present", add to total count
        elif 'Number of times present' in line:
            total_count += int(line.split(':')[1].strip())
    
    # Add the last query's total count
    if current_query:
        result[current_query] = total_count
    
    return result
This function does the following: 1. Split the input data into lines 2. Initialize an empty dictionary to store results 3. Track the current query and its total count 4. Iterate through the lines: - If a line starts with 'QUERY', it marks a new query - If a line contains 'Number of times present', add that count to the total 5. Save the total count for each query in the result dictionary Example usage: 
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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'''

print(process(data))
# Output: {'A361': 174, '32B57': 106}
The function handles multiple queries and sums up their total presence counts.

Extract Code

I extracted the following code from that output: 

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def process(data):
    # Split the data into lines
    lines = data.split('\n')
    
    # Initialize a dictionary to store results
    result = {}
    
    # Variable to track current query
    current_query = None
    total_count = 0
    
    # Iterate through lines
    for line in lines:
        line = line.strip()
        
        # If line starts with QUERY, it's a new query
        if line.startswith('QUERY'):
            # If there was a previous query, save its total count
            if current_query:
                result[current_query] = total_count
            
            # Start a new query
            current_query = line.split()[1]
            total_count = 0
        
        # If line contains "Number of times present", add to total count
        elif 'Number of times present' in line:
            total_count += int(line.split(':')[1].strip())
    
    # Add the last query's total count
    if current_query:
        result[current_query] = total_count
    
    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'''

    print(process(data))

if __name__ == "__main__":
    main()

Run Code Interpreter

Running the following program: 

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def process(data):
    # Split the data into lines
    lines = data.split('\n')
    
    # Initialize a dictionary to store results
    result = {}
    
    # Variable to track current query
    current_query = None
    total_count = 0
    
    # Iterate through lines
    for line in lines:
        line = line.strip()
        
        # If line starts with QUERY, it's a new query
        if line.startswith('QUERY'):
            # If there was a previous query, save its total count
            if current_query:
                result[current_query] = total_count
            
            # Start a new query
            current_query = line.split()[1]
            total_count = 0
        
        # If line contains "Number of times present", add to total count
        elif 'Number of times present' in line:
            total_count += int(line.split(':')[1].strip())
    
    # Add the last query's total count
    if current_query:
        result[current_query] = total_count
    
    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'''

    print(process(data))

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 as you described: 

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def process(data):
    # Split the data into lines
    lines = data.strip().split('\n')
    
    # Initialize a dictionary to store query counts
    query_counts = {}
    
    # Current query being processed
    current_query = None
    
    # Iterate through the lines
    for line in lines:
        # Check if line starts with QUERY (indicates a new query)
        if line.startswith('QUERY'):
            current_query = line.split()[1]
            query_counts[current_query] = 0
        
        # Check if line contains "Number of times present"
        elif "Number of times present" in line:
            # Extract the number and add to the current query's count
            count = int(line.split(':')[1].strip())
            query_counts[current_query] += count
    
    return query_counts
This function does the following: 1. It takes a string of data as input. 2. Splits the data into lines. 3. Initializes an empty dictionary to store query counts. 4. Iterates through the lines: - When it finds a line starting with "QUERY", it sets the current query. - When it finds a line with "Number of times present", it adds that count to the current query's total. 5. Returns a dictionary with queries as keys and their total counts as values. You can use it like this: 
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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'''

print(process(data))
This would output: 
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{'A361': 174, '32B57': 106}
The function handles multiple entries for each query by summing their "Number of times present" values.

Extract Code

I extracted the following code from that output: 

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def process(data):
    # Split the data into lines
    lines = data.strip().split('\n')
    
    # Initialize a dictionary to store query counts
    query_counts = {}
    
    # Current query being processed
    current_query = None
    
    # Iterate through the lines
    for line in lines:
        # Check if line starts with QUERY (indicates a new query)
        if line.startswith('QUERY'):
            current_query = line.split()[1]
            query_counts[current_query] = 0
        
        # Check if line contains "Number of times present"
        elif "Number of times present" in line:
            # Extract the number and add to the current query's count
            count = int(line.split(':')[1].strip())
            query_counts[current_query] += count
    
    return query_counts

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: 

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def process(data):
    # Split the data into lines
    lines = data.strip().split('\n')
    
    # Initialize a dictionary to store query counts
    query_counts = {}
    
    # Current query being processed
    current_query = None
    
    # Iterate through the lines
    for line in lines:
        # Check if line starts with QUERY (indicates a new query)
        if line.startswith('QUERY'):
            current_query = line.split()[1]
            query_counts[current_query] = 0
        
        # Check if line contains "Number of times present"
        elif "Number of times present" in line:
            # Extract the number and add to the current query's count
            count = int(line.split(':')[1].strip())
            query_counts[current_query] += count
    
    return query_counts

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 accomplishes this: 

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def process(data):
    # Split the data into lines
    lines = data.split('\n')
    
    # Initialize an empty dictionary to store results
    result = {}
    
    # Track the current query
    current_query = None
    total_present = 0
    
    for line in lines:
        # Trim whitespace
        line = line.strip()
        
        # Check if line is a query
        if line.startswith('QUERY'):
            # If there was a previous query, save its total
            if current_query:
                result[current_query] = total_present
            
            # Start a new query
            current_query = line.split()[1]
            total_present = 0
        
        # Check if line contains "Number of times present"
        elif 'Number of times present' in line:
            # Extract the number and add to total
            total_present += int(line.split(':')[1].strip())
    
    # Add the last query's total
    if current_query:
        result[current_query] = total_present
    
    return result
You can use it like this: 
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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'''

print(process(data))
This would output: 
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{'A361': 174, '32B57': 106}
The function works by: 1. Splitting the input data into lines 2. Tracking the current query 3. Summing up the "Number of times present" for each query 4. Returning a dictionary with queries as keys and total occurrences as values It handles multiple instances of a query and works with input data that might have blank lines or varying formatting.

Extract Code

I extracted the following code from that output: 

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def process(data):
    # Split the data into lines
    lines = data.split('\n')
    
    # Initialize an empty dictionary to store results
    result = {}
    
    # Track the current query
    current_query = None
    total_present = 0
    
    for line in lines:
        # Trim whitespace
        line = line.strip()
        
        # Check if line is a query
        if line.startswith('QUERY'):
            # If there was a previous query, save its total
            if current_query:
                result[current_query] = total_present
            
            # Start a new query
            current_query = line.split()[1]
            total_present = 0
        
        # Check if line contains "Number of times present"
        elif 'Number of times present' in line:
            # Extract the number and add to total
            total_present += int(line.split(':')[1].strip())
    
    # Add the last query's total
    if current_query:
        result[current_query] = total_present
    
    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'''

    print(process(data))

if __name__ == "__main__":
    main()

Run Code Interpreter

Running the following program: 

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def process(data):
    # Split the data into lines
    lines = data.split('\n')
    
    # Initialize an empty dictionary to store results
    result = {}
    
    # Track the current query
    current_query = None
    total_present = 0
    
    for line in lines:
        # Trim whitespace
        line = line.strip()
        
        # Check if line is a query
        if line.startswith('QUERY'):
            # If there was a previous query, save its total
            if current_query:
                result[current_query] = total_present
            
            # Start a new query
            current_query = line.split()[1]
            total_present = 0
        
        # Check if line contains "Number of times present"
        elif 'Number of times present' in line:
            # Extract the number and add to total
            total_present += int(line.split(':')[1].strip())
    
    # Add the last query's total
    if current_query:
        result[current_query] = total_present
    
    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'''

    print(process(data))

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