How do I slice tuples in Python across multiple processes?

Slicing tuples in Python across multiple processes can be efficiently managed by leveraging the `multiprocessing` module. This allows you to distribute the workload among different processes, enabling parallel computation. Here’s a simple example of how you can achieve this:


    #!/usr/bin/env python
    import multiprocessing

    def slice_tuple(t, start, end):
        return t[start:end]

    if __name__ == '__main__':
        my_tuple = (1, 2, 3, 4, 5, 6, 7, 8, 9, 10)
        
        # Create a list of processes
        processes = []
        results = []
        num_processes = 5
        chunk_size = len(my_tuple) // num_processes
        
        for i in range(num_processes):
            start_index = i * chunk_size
            end_index = None if i + 1 == num_processes else (i + 1) * chunk_size
            p = multiprocessing.Process(target=lambda q, arg1, arg2: q.append(slice_tuple(my_tuple, arg1, arg2)), args=(results, start_index, end_index))
            processes.append(p)
            p.start()
        
        # Ensure all processes have finished execution
        for p in processes:
            p.join()

        print(results)  # Should show sliced tuples

Python tuples multiprocessing slicing parallel processing programming

How do I slice tuples in Python across multiple processes?

Popular Topics

Recent Languages

How do I slice tuples in Python across multiple processes?

Related Questions

Popular Topics

Recent Languages