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

Sure, I'll write a Python function that processes the data and returns a dictionary where the keys are the query identifiers (e.g., A361, 32B57) and the values are the total number of times they are present. Here is the function: 

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def process(data):
    result = {}
    current_query = None
    
    for line in data.splitlines():
        if line.startswith("QUERY"):
            current_query = line.split()[1]
            result[current_query] = 0
        elif line.startswith("Number of times present"):
            parts = line.split(": ")
            count = int(parts[1])
            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)
The `process` function works as follows: 1. It initializes an empty dictionary `result` and a variable `current_query` to keep track of the current query identifier. 2. It splits the input data into lines and iterates over each line. 3. When it encounters a line that starts with "QUERY", it extracts the query identifier and initializes its count in the `result` dictionary to 0. 4. When it encounters a line that starts with "Number of times present", it extracts the count and adds it to the current query's total in the `result` dictionary. When you run the example usage, the function will output the total number of times each query is present: 
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{'A361': 174, '32B57': 106}
This means that query A361 is present a total of 174 times and query 32B57 is present a total of 106 times.

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.splitlines():
        if line.startswith("QUERY"):
            current_query = line.split()[1]
            result[current_query] = 0
        elif line.startswith("Number of times present"):
            parts = line.split(": ")
            count = int(parts[1])
            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)

Run Code Interpreter

Running the following program: 

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def process(data):
    result = {}
    current_query = None
    
    for line in data.splitlines():
        if line.startswith("QUERY"):
            current_query = line.split()[1]
            result[current_query] = 0
        elif line.startswith("Number of times present"):
            parts = line.split(": ")
            count = int(parts[1])
            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)





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

Sure, here's a Python function called `process` that processes the given data and returns a dictionary where the keys are the queries (like A361, 32B57) and the values are the total number of times they are present. 

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def process(data):
    result = {}
    lines = data.split('\n')
    current_query = None
    
    for line in lines:
        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])
            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)
This script will output: 
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{'A361': 174, '32B57': 106}
This function works by splitting the input data into lines and processing each line. It detects the start of a new query when a line starts with "QUERY" and extracts the query identifier. When it encounters a line that starts with "Number of times present:", it extracts the number and adds it to the total count for the current query.

Extract Code

I extracted the following code from that output: 

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def process(data):
    result = {}
    lines = data.split('\n')
    current_query = None
    
    for line in lines:
        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])
            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)

Run Code Interpreter

Running the following program: 

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def process(data):
    result = {}
    lines = data.split('\n')
    current_query = None
    
    for line in lines:
        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])
            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)





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

Certainly! Here's a Python function called `process` that takes the provided data as a string argument and returns a dictionary where the keys are the query identifiers (like `A361` and `32B57`), and the values are the total number of times each query is present: 

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def process(data):
    lines = data.strip().split('\n')
    result = {}
    current_query = None

    for line in lines:
        if 'QUERY' in line:
            current_query = line.split()[1]
            result[current_query] = 0
        elif 'Number of times present' in line:
            times_present = int(line.split(': ')[1])
            result[current_query] += times_present

    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'''

print(process(data))
When you run this code with the provided example data, it will output: 
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{'A361': 174, '32B57': 106}
This function works by: 1. Splitting the data into lines. 2. Initializing a dictionary to store the results and a variable to keep track of the current query. 3. Iterating through each line to check if it contains a new query identifier or the number of times present. 4. Updating the dictionary with the total counts accordingly.

Extract Code

I extracted the following code from that output: 

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def process(data):
    lines = data.strip().split('\n')
    result = {}
    current_query = None

    for line in lines:
        if 'QUERY' in line:
            current_query = line.split()[1]
            result[current_query] = 0
        elif 'Number of times present' in line:
            times_present = int(line.split(': ')[1])
            result[current_query] += times_present

    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'''

print(process(data))

Run Code Interpreter

Running the following program: 

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def process(data):
    lines = data.strip().split('\n')
    result = {}
    current_query = None

    for line in lines:
        if 'QUERY' in line:
            current_query = line.split()[1]
            result[current_query] = 0
        elif 'Number of times present' in line:
            times_present = int(line.split(': ')[1])
            result[current_query] += times_present

    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'''

print(process(data))





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

Certainly! You can achieve this by parsing the data and then accumulating the counts for each query. Here's a Python function `process` that does exactly that: 

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def process(data):
    # Split the input data into lines
    lines = data.strip().split('\n')
    
    # Initialize a dictionary to hold the results
    result = {}
    
    # Initialize variables to hold the current query and the total count
    current_query = None
    
    # Loop through each line of the data
    for line in lines:
        # Check if the line starts with 'QUERY' to identify the query name
        if line.startswith('QUERY'):
            current_query = line.split()[1]
            # Ensure the query is in the result dictionary
            if current_query not in result:
                result[current_query] = 0
        # Check if the line contains 'Number of times present'
        elif 'Number of times present' in line:
            # Extract the number of times present
            count = int(line.split(': ')[1])
            # Add the count to the current query's total
            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)
This `process` function will parse the input data, accumulate the counts for each query, and return a dictionary with the total counts. For the provided example data, the output will be: 
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{'A361': 174, '32B57': 106}
This reflects the total number of times each query is present.

Extract Code

I extracted the following code from that output: 

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def process(data):
    # Split the input data into lines
    lines = data.strip().split('\n')
    
    # Initialize a dictionary to hold the results
    result = {}
    
    # Initialize variables to hold the current query and the total count
    current_query = None
    
    # Loop through each line of the data
    for line in lines:
        # Check if the line starts with 'QUERY' to identify the query name
        if line.startswith('QUERY'):
            current_query = line.split()[1]
            # Ensure the query is in the result dictionary
            if current_query not in result:
                result[current_query] = 0
        # Check if the line contains 'Number of times present'
        elif 'Number of times present' in line:
            # Extract the number of times present
            count = int(line.split(': ')[1])
            # Add the count to the current query's total
            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)

Run Code Interpreter

Running the following program: 

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def process(data):
    # Split the input data into lines
    lines = data.strip().split('\n')
    
    # Initialize a dictionary to hold the results
    result = {}
    
    # Initialize variables to hold the current query and the total count
    current_query = None
    
    # Loop through each line of the data
    for line in lines:
        # Check if the line starts with 'QUERY' to identify the query name
        if line.startswith('QUERY'):
            current_query = line.split()[1]
            # Ensure the query is in the result dictionary
            if current_query not in result:
                result[current_query] = 0
        # Check if the line contains 'Number of times present'
        elif 'Number of times present' in line:
            # Extract the number of times present
            count = int(line.split(': ')[1])
            # Add the count to the current query's total
            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)





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

Sure, I'll provide a Python function called `process` which will process the given data and return a dictionary with the keys being the query names (like A361, 32B57) and the values being the total count of occurrences. Here's the function: 

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def process(data):
    import re
    from collections import defaultdict

    result = defaultdict(int)
    
    # Split the data into lines
    lines = data.split('\n')
    
    current_query = None
    
    for line in lines:
        if line.startswith("QUERY"):
            # Extract the query name using regular expression
            match = re.match(r"QUERY (\S+)", line)
            if match:
                current_query = match.group(1)
        elif line.startswith("Found at"):
            # Extract the number of times present using regular expression
            match = re.search(r"Number of times present: (\d+)", line)
            if match and current_query:
                count = int(match.group(1))
                result[current_query] += count
    
    return dict(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)
When you run the example usage, the output will be: 
1
{'A361': 174, '32B57': 106}
This function first splits the input data into lines, then iterates over each line to extract the relevant query names and counts. It uses regular expressions to find the query names and the number of times present, aggregating the counts in a dictionary. Finally, it returns the dictionary with the total counts for each query.

Extract Code

I extracted the following code from that output: 

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def process(data):
    import re
    from collections import defaultdict

    result = defaultdict(int)
    
    # Split the data into lines
    lines = data.split('\n')
    
    current_query = None
    
    for line in lines:
        if line.startswith("QUERY"):
            # Extract the query name using regular expression
            match = re.match(r"QUERY (\S+)", line)
            if match:
                current_query = match.group(1)
        elif line.startswith("Found at"):
            # Extract the number of times present using regular expression
            match = re.search(r"Number of times present: (\d+)", line)
            if match and current_query:
                count = int(match.group(1))
                result[current_query] += count
    
    return dict(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)

Run Code Interpreter

Running the following program: 

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def process(data):
    import re
    from collections import defaultdict

    result = defaultdict(int)
    
    # Split the data into lines
    lines = data.split('\n')
    
    current_query = None
    
    for line in lines:
        if line.startswith("QUERY"):
            # Extract the query name using regular expression
            match = re.match(r"QUERY (\S+)", line)
            if match:
                current_query = match.group(1)
        elif line.startswith("Found at"):
            # Extract the number of times present using regular expression
            match = re.search(r"Number of times present: (\d+)", line)
            if match and current_query:
                count = int(match.group(1))
                result[current_query] += count
    
    return dict(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)





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: {} Traceback (most recent call last): File "/usr/src/app/main.py", line 67, in <module> assert answer == expected, f'Wrong answer; got {answer} instead of {expected}' AssertionError: Wrong answer; got {} instead of {'A361': 175, '32B57': 107}

Substring Evaluation

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