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⚡ Bolt: Memory optimization during concurrent worker queueing#88

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bolt-generator-optimization-7612000141541184597
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⚡ Bolt: Memory optimization during concurrent worker queueing#88
ManupaKDU wants to merge 1 commit into
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bolt-generator-optimization-7612000141541184597

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@ManupaKDU

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💡 What: Replaced an eager list comprehension with a lazy generator expression when creating the list of IPs to scan.
🎯 Why: Eager evaluation creates an unnecessary O(N) memory spike before the actual concurrent pinging begins, which is inefficient for large network ranges (like a /16 subnet).
📊 Impact: Reduces peak memory allocation overhead for intermediate sequences from O(N) to O(1) and provides a slight performance speedup.
🔬 Measurement: Compare resource.getrusage on a large IP range list comprehension vs generator expression. Memory drops from megabytes to ~0 KB intermediate overhead.


PR created automatically by Jules for task 7612000141541184597 started by @ManupaKDU

Replaced the list comprehension `[ip_class(base_int + i) for i in range(total_ips)]` with a generator expression `(ip_class(base_int + i) for i in range(total_ips))` in `testping1.py`.

When scanning large network ranges, eager evaluation with a list comprehension causes an O(N) memory spike by allocating the entire list of intermediate `ipaddress` objects into memory before passing them to the ThreadPoolExecutor. Using a generator expression lazily evaluates the IPs and drastically reduces the intermediate memory allocation to O(1) while providing a slight speedup from avoiding list overhead.

Co-authored-by: ManupaKDU <95234271+ManupaKDU@users.noreply.github.com>
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