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As I improved the code, I focused on enhancing error handling to catch potential exceptions during file reading, student allocation, output writing, and result logging. I made sure to validate input data to ensure that the required files exist and are accessible. Additionally, I added configuration options such as providing a seed value for the random number generator via command-line arguments.To simplify argument parsing, I streamlined the logic and provided clearer descriptions and default values, reducing the number of lines needed to define and parse command-line arguments. I consolidated error handling into a single try-except block, making the code more concise and eliminating redundancy. Logging messages were also condensed and simplified to reduce verbosity.Improving code readability was a priority, so I focused on using meaningful variable names and adding detailed documentation. This not only enhanced readability but also improved maintainability. Refactoring and optimizing certain parts of the code helped reduce its size while improving efficiency.Overall, these enhancements resulted in a more robust, readable, and efficient script that gracefully handles errors at each step and provides informative error messages for troubleshooting.

In this version, I've added a number input widget to specify the number of exam centers to calculate. I've also modified the run_center_randomizer function to accept the number of centers as an argument and updated the subprocess command accordingly. This version provides more flexibility and control to the user.
As I improved the code, I focused on enhancing error handling to catch potential exceptions during file reading, student allocation, output writing, and result logging. I made sure to validate input data to ensure that the required files exist and are accessible. Additionally, I added configuration options such as providing a seed value for the random number generator via command-line arguments.To simplify argument parsing, I streamlined the logic and provided clearer descriptions and default values, reducing the number of lines needed to define and parse command-line arguments. I consolidated error handling into a single try-except block, making the code more concise and eliminating redundancy. Logging messages were also condensed and simplified to reduce verbosity.Improving code readability was a priority, so I focused on using meaningful variable names and adding detailed documentation. This not only enhanced readability but also improved maintainability. Refactoring and optimizing certain parts of the code helped reduce its size while improving efficiency.Overall, these enhancements resulted in a more robust, readable, and efficient script that gracefully handles errors at each step and provides informative error messages for troubleshooting.
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