To execute a correct program on data sets, first ensure that the program is properly implemented and tested to handle the expected input. Next, run the program with the specified data sets while collecting metrics on time and space usage. Time complexity can be measured using built-in timing functions or profiling tools, while space complexity can be assessed by monitoring memory usage during execution. Finally, analyze the results to evaluate performance and optimize the program if necessary.
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