In Python, mapping tuples across multiple processes can be accomplished using the `multiprocessing` module. This allows you to efficiently distribute workload and combine results from different processes. Here's an example of how to achieve this using the `Pool` class to map a function over a list of tuples:
from multiprocessing import Pool
def process_tuple(tup):
# Example function that processes a tuple
return sum(tup)
if __name__ == '__main__':
# Example list of tuples
tuples = [(1, 2), (3, 4), (5, 6)]
# Create a pool of processes
with Pool(processes=4) as pool:
results = pool.map(process_tuple, tuples)
print(results) # Output: [3, 7, 11]
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