In Python, reducing tuples across multiple processes can be effectively accomplished using the `multiprocessing` module, which allows you to distribute the workload among several processes. Below, you will find an example that demonstrates how to achieve this.
import multiprocessing
def reduce_tuple(tup):
return sum(tup)
if __name__ == '__main__':
tuples = [(1, 2), (3, 4), (5, 6), (7, 8)]
with multiprocessing.Pool(processes=4) as pool:
results = pool.map(reduce_tuple, tuples)
print(results) # Output: [3, 7, 11, 15]
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