# Example of indexing sets in Python across multiple processes
import multiprocessing
def process_set_element(element):
return f"Processed: {element}"
if __name__ == "__main__":
my_set = {1, 2, 3, 4, 5}
# Creating a pool of worker processes
with multiprocessing.Pool(processes=3) as pool:
results = pool.map(process_set_element, my_set)
print(results)
How do I avoid rehashing overhead with std::set in multithreaded code?
How do I find elements with custom comparators with std::set for embedded targets?
How do I erase elements while iterating with std::set for embedded targets?
How do I provide stable iteration order with std::unordered_map for large datasets?
How do I reserve capacity ahead of time with std::unordered_map for large datasets?
How do I erase elements while iterating with std::unordered_map in multithreaded code?
How do I provide stable iteration order with std::map for embedded targets?
How do I provide stable iteration order with std::map in multithreaded code?
How do I avoid rehashing overhead with std::map in performance-sensitive code?
How do I merge two containers efficiently with std::map for embedded targets?