Time.perf Counter
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-07.)
Time.perf Counter has 5 facts recorded in Dontopedia across 2 references.
5 facts·4 predicates·2 sources
Mostly:rdf:type(2), used by(1), rdfs:label(1)
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-07.)
Time.perf Counter has 5 facts recorded in Dontopedia across 2 references.
Mostly:rdf:type(2), used by(1), rdfs:label(1)
usedForOther subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. “X motherOf this subject” — and answer questions the forward facts can't. Grouped by predicate.
assignedValueAssigned Value(2)ex:end_timeex:start_timeusesFunctionUses Function(1)ex:record-start-timeTimeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
doc:beam/4f2c58df-1b45-4d9a-b1e7-7ff2606de95astart_time = time.perf_counter() result = func(*args, **kwargs) end_time = time.perf_counter() latency = end_time - start_time logging.info(f"Function {func.__name__} took {latency:.6f} seconds") …
doc:beam/4741761b-71fa-4f0e-9270-2b8fadaf6cbe- Using a context manager can make your code cleaner and easier to read. Here's an improved version of your code with these suggestions: ```python import time import logging # Configure logging logging.basicConfig(level=logging.INFO) …
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