in code , and to determine possible inline-expansion points . Internal time statistics can be used to identify “hot loops” that must be fastidiously optimized. Cumulative time statistics should be used to identify high stage errors within the selection of algorithms. Note that the weird handling of cumulative occasions in this profiler allows statistics for recursive implementations of algorithms to be instantly compared to iterative implementations.
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Apparently I deleted a profile that a consumer nonetheless uses. Is it attainable to get well the deleted knowledge from that person. My solely workaround in the meanwhile is an AutoIT script which parses the freeware utility NETUSERS – which correctly identifies when the consumer last logged on.
