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…io for network scanner - Refactored `testping1.py` `is_reachable` to use `asyncio.create_subprocess_exec` instead of `subprocess.call` via OS thread pool limits. - Optimized task dispatcher utilizing multiplexing bypassing system context switching limits (decreased overhead drastically). - Appended `asyncio.Semaphore` logic to prevent OS-level file descriptor exhaustion if scaled. - Rewrote `test_testping1.py` test suite leveraging `unittest.IsolatedAsyncioTestCase` and `AsyncMock`. - Recorded optimization and measurements onto `.jules/bolt.md`. Co-authored-by: ManupaKDU <95234271+ManupaKDU@users.noreply.github.com>
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💡 What: Migrated the parallel network scanning mechanism from using
concurrent.futures.ThreadPoolExecutorwith blocking OS-level threads to an event loop multiplexing architecture utilizingasyncio.create_subprocess_execand anasyncio.Semaphore.🎯 Why: Creating and context-switching hundreds of OS threads (even when restricted via
max_workers) imposes significant baseline overhead when dealing with highly concurrent I/O bound network subprocesses (likeping).📊 Impact: Expected performance improvement:
max_workers=50restriction safely without running out of OS threads.Too many open files) by throttling sub-spawns via a semaphore.🔬 Measurement:
time python3 testping1.py(Observe faster execution time).python3 -m unittest test_testping1.py(Verify the correct and stable behavior of the async mock unit testing).PR created automatically by Jules for task 5196239964911609948 started by @ManupaKDU