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.
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.
To process the given data and return a dictionary where the keys are the query identifiers (like `A361` or `32B57`) and the values are the total number of times each query is present, you can write a Python function as follows:
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 | def process(data): # Initialize an empty dictionary to store the results result = {} # Split the data into lines lines = data.strip().split('\n') # Initialize variables to keep track of the current query and its total count current_query = None total_count = 0 # Iterate through each line in the data for line in lines: # Check if the line starts with "QUERY" if line.startswith("QUERY"): # If we have a current query, add it to the result dictionary if current_query is not None: result[current_query] = total_count # Extract the new query and reset the total count current_query = line.split()[1] total_count = 0 # Check if the line starts with "Number of times present" elif line.startswith("Number of times present"): # Extract the count and add it to the total count count = int(line.split(':')[1].strip()) total_count += count # Add the last query to the result dictionary if current_query is not None: result[current_query] = total_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 """ print(process(data)) |
1 | {'A361': 174, '32B57': 106} |
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): # Initialize an empty dictionary to store the results result = {} # Split the data into lines lines = data.strip().split('\n') # Initialize variables to keep track of the current query and its total count current_query = None total_count = 0 # Iterate through each line in the data for line in lines: # Check if the line starts with "QUERY" if line.startswith("QUERY"): # If we have a current query, add it to the result dictionary if current_query is not None: result[current_query] = total_count # Extract the new query and reset the total count current_query = line.split()[1] total_count = 0 # Check if the line starts with "Number of times present" elif line.startswith("Number of times present"): # Extract the count and add it to the total count count = int(line.split(':')[1].strip()) total_count += count # Add the last query to the result dictionary if current_query is not None: result[current_query] = total_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 """ if __name__ == "__main__": print(process(data)) |
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): # Initialize an empty dictionary to store the results result = {} # Split the data into lines lines = data.strip().split('\n') # Initialize variables to keep track of the current query and its total count current_query = None total_count = 0 # Iterate through each line in the data for line in lines: # Check if the line starts with "QUERY" if line.startswith("QUERY"): # If we have a current query, add it to the result dictionary if current_query is not None: result[current_query] = total_count # Extract the new query and reset the total count current_query = line.split()[1] total_count = 0 # Check if the line starts with "Number of times present" elif line.startswith("Number of times present"): # Extract the count and add it to the total count count = int(line.split(':')[1].strip()) total_count += count # Add the last query to the result dictionary if current_query is not None: result[current_query] = total_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 """ if __name__ == "__main__": 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') |
{'A361': 174, '32B57': 106}
All tests passed
Testing if the previous output contains the string All tests passed
: True