In Python, you can chunk tuples across multiple processes using the `multiprocessing` module. This allows you to efficiently distribute chunks of data to various processes for parallel processing. Below is an example demonstrating how to achieve this.
import multiprocessing
def chunk_tuples(data, chunk_size):
"""Yield successive chunk_size chunks from data."""
for i in range(0, len(data), chunk_size):
yield data[i:i + chunk_size]
def process_chunk(chunk):
"""Example processing function."""
return [x * 2 for x in chunk]
if __name__ == "__main__":
data = [(1, 2), (3, 4), (5, 6), (7, 8)]
chunk_size = 2
chunks = list(chunk_tuples(data, chunk_size))
with multiprocessing.Pool(processes=2) as pool:
results = pool.map(process_chunk, chunks)
print(results)
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