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

def process(data): """ Processes a string containing query data and returns a dictionary where each key is a query identifier (like "A361" or "32B57") and the value is the total sum of "Number of times present". The expected format in the data is: QUERY <query_id> Found at: <some number> Number of times present: <number> There may be multiple "Found at:" / "Number of times present:" pairs following each query. Parameters: data (str): The string containing the data. Returns: dict: A dictionary mapping each query id to the total times present. """ result = {} current_query = None # Split the input by lines. for line in data.splitlines(): line = line.strip() if not line: continue # Check if line starts with 'QUERY' if line.startswith("QUERY"): # We assume the format is "QUERY <query_id>" parts = line.split() if len(parts) >= 2: current_query = parts[1] # Initialize entry in dict if not already present if current_query not in result: result[current_query] = 0 elif "Number of times present:" in line: # Split from colon and get the number after it try: # The number should be after the colon count_str = line.split("Number of times present:")[1].strip() count = int(count_str) if current_query is not None: result[current_query] += count except (IndexError, ValueError): # If for some reason the parsing fails, skip pass return result # Example usage: if __name__ == "__main__": sample_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(sample_data)) # Expected output: # {'A361': 4+3+17+84+66 = 174, '32B57': 4+3+19+80 = 106}

Extract Code

I extracted the following code from that output: 

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#!/usr/bin/env python3

def process(data):
    """
    Processes a string containing query data and returns a dictionary where each key is
    a query identifier (like "A361" or "32B57") and the value is the total sum of "Number of times present".
    
    The expected format in the data is:
    
      QUERY <query_id>
      Found at: <some number>
      Number of times present: <number>
      
    There may be multiple "Found at:" / "Number of times present:" pairs following each query.
    
    Parameters:
        data (str): The string containing the data.
        
    Returns:
        dict: A dictionary mapping each query id to the total times present.
    """
    result = {}
    current_query = None

    # Split the input by lines.
    for line in data.splitlines():
        line = line.strip()
        if not line:
            continue
        
        # Check if line starts with 'QUERY'
        if line.startswith("QUERY"):
            # We assume the format is "QUERY <query_id>"
            parts = line.split()
            if len(parts) >= 2:
                current_query = parts[1]
                # Initialize entry in dict if not already present
                if current_query not in result:
                    result[current_query] = 0
        elif "Number of times present:" in line:
            # Split from colon and get the number after it
            try:
                # The number should be after the colon
                count_str = line.split("Number of times present:")[1].strip()
                count = int(count_str)
                if current_query is not None:
                    result[current_query] += count
            except (IndexError, ValueError):
                # If for some reason the parsing fails, skip
                pass

    return result

# Example usage:
if __name__ == "__main__":
    sample_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(sample_data))
    # Expected output:
    # {'A361': 4+3+17+84+66 = 174, '32B57': 4+3+19+80 = 106}

Run Code Interpreter

Running the following program: 

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#!/usr/bin/env python3

def process(data):
    """
    Processes a string containing query data and returns a dictionary where each key is
    a query identifier (like "A361" or "32B57") and the value is the total sum of "Number of times present".
    
    The expected format in the data is:
    
      QUERY <query_id>
      Found at: <some number>
      Number of times present: <number>
      
    There may be multiple "Found at:" / "Number of times present:" pairs following each query.
    
    Parameters:
        data (str): The string containing the data.
        
    Returns:
        dict: A dictionary mapping each query id to the total times present.
    """
    result = {}
    current_query = None

    # Split the input by lines.
    for line in data.splitlines():
        line = line.strip()
        if not line:
            continue
        
        # Check if line starts with 'QUERY'
        if line.startswith("QUERY"):
            # We assume the format is "QUERY <query_id>"
            parts = line.split()
            if len(parts) >= 2:
                current_query = parts[1]
                # Initialize entry in dict if not already present
                if current_query not in result:
                    result[current_query] = 0
        elif "Number of times present:" in line:
            # Split from colon and get the number after it
            try:
                # The number should be after the colon
                count_str = line.split("Number of times present:")[1].strip()
                count = int(count_str)
                if current_query is not None:
                    result[current_query] += count
            except (IndexError, ValueError):
                # If for some reason the parsing fails, skip
                pass

    return result

# Example usage:
if __name__ == "__main__":
    sample_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(sample_data))
    # Expected output:
    # {'A361': 4+3+17+84+66 = 174, '32B57': 4+3+19+80 = 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

def process(data: str) -> dict: """ Processes the input data and returns a dictionary mapping query keys (e.g. "A361", "32B57") to the total count of "Number of times present:" values. The input data is expected to contain blocks starting with "QUERY <key>" followed by one or more pairs of "Found at: ..." and "Number of times present: <number>". Example: Here's some data QUERY A361 Found at: 160392127418 Number of times present: 4 Found at: 150158692866 Number of times present: 3 ... Returns: A dictionary where keys are the query codes (like "A361") and values are the sum of counts. """ result = {} current_query = None # Process the data line by line. for line in data.splitlines(): line = line.strip() if not line: # skip empty lines continue if line.startswith("QUERY"): # Extract the query string (assuming format "QUERY <query>") parts = line.split() if len(parts) >= 2: current_query = parts[1] # Initialize count for this query if not already. result[current_query] = 0 elif "Number of times present:" in line: # Split to get the count value. try: # We assume the line is in format "Number of times present: <number>" _, count_str = line.split("Number of times present:") count = int(count_str.strip()) if current_query is not None: result[current_query] += count except ValueError: # If conversion to int fails, just skip this line. continue return result # Example usage if you want to test the function: if __name__ == "__main__": data = """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""" print(process(data)) # Expected output: {'A361': 174, '32B57': 106}

Extract Code

I extracted the following code from that output: 

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#!/usr/bin/env python3
def process(data: str) -> dict:
    """
    Processes the input data and returns a dictionary mapping query keys
    (e.g. "A361", "32B57") to the total count of "Number of times present:" values.
    
    The input data is expected to contain blocks starting with "QUERY <key>"
    followed by one or more pairs of "Found at: ..." and "Number of times present: <number>".
    
    Example:
      Here's some data
      QUERY A361
      Found at: 160392127418
      Number of times present: 4
      
      Found at: 150158692866
      Number of times present: 3
      ...
    
    Returns:
      A dictionary where keys are the query codes (like "A361") and values are the sum of counts.
    """
    result = {}
    current_query = None
    
    # Process the data line by line.
    for line in data.splitlines():
        line = line.strip()
        if not line:
            # skip empty lines
            continue
        if line.startswith("QUERY"):
            # Extract the query string (assuming format "QUERY <query>")
            parts = line.split()
            if len(parts) >= 2:
                current_query = parts[1]
                # Initialize count for this query if not already.
                result[current_query] = 0
        elif "Number of times present:" in line:
            # Split to get the count value.
            try:
                # We assume the line is in format "Number of times present: <number>"
                _, count_str = line.split("Number of times present:")
                count = int(count_str.strip())
                if current_query is not None:
                    result[current_query] += count
            except ValueError:
                # If conversion to int fails, just skip this line.
                continue
    return result

# Example usage if you want to test the function:
if __name__ == "__main__":
    data = """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"""

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

Run Code Interpreter

Running the following program: 

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#!/usr/bin/env python3
def process(data: str) -> dict:
    """
    Processes the input data and returns a dictionary mapping query keys
    (e.g. "A361", "32B57") to the total count of "Number of times present:" values.
    
    The input data is expected to contain blocks starting with "QUERY <key>"
    followed by one or more pairs of "Found at: ..." and "Number of times present: <number>".
    
    Example:
      Here's some data
      QUERY A361
      Found at: 160392127418
      Number of times present: 4
      
      Found at: 150158692866
      Number of times present: 3
      ...
    
    Returns:
      A dictionary where keys are the query codes (like "A361") and values are the sum of counts.
    """
    result = {}
    current_query = None
    
    # Process the data line by line.
    for line in data.splitlines():
        line = line.strip()
        if not line:
            # skip empty lines
            continue
        if line.startswith("QUERY"):
            # Extract the query string (assuming format "QUERY <query>")
            parts = line.split()
            if len(parts) >= 2:
                current_query = parts[1]
                # Initialize count for this query if not already.
                result[current_query] = 0
        elif "Number of times present:" in line:
            # Split to get the count value.
            try:
                # We assume the line is in format "Number of times present: <number>"
                _, count_str = line.split("Number of times present:")
                count = int(count_str.strip())
                if current_query is not None:
                    result[current_query] += count
            except ValueError:
                # If conversion to int fails, just skip this line.
                continue
    return result

# Example usage if you want to test the function:
if __name__ == "__main__":
    data = """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"""

    print(process(data))
    # Expected output: {'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