How do I deep copy tuples in Python across multiple processes?

In Python, tuples are immutable, which means that they cannot be modified after creation. However, when you want to transfer or share data between multiple processes using the multiprocessing module, you may still want to create copies of your tuple data. Deep copying tuples ensures that you get the exact data structure without any references to the original. Here is how you can deep copy tuples across multiple processes using Python.

Python, deep copy, tuples, multiprocessing, immutable data, process communication

This content explains how to deep copy tuples in Python across multiple processes, ensuring separate instances of data without affecting the original structure.

import multiprocessing import copy def worker(tup): # Create a deep copy of the tuple copied_tup = copy.deepcopy(tup) print(f"Copied tuple in process {multiprocessing.current_process().name}: {copied_tup}") if __name__ == "__main__": original_tuple = (1, 2, (3, 4), [5, 6]) process = multiprocessing.Process(target=worker, args=(original_tuple,)) process.start() process.join()

Python deep copy tuples multiprocessing immutable data process communication

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