Dontopedia

sort_stats

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)

sort_stats has 8 facts recorded in Dontopedia across 4 references, with 2 live disagreements.

8 facts·5 predicates·4 sources·2 in dispute

Mostly:rdf:type(2), has parameter(1), has argument(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (5)

Other 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.

callsCalls(1)

callsMethodCalls Method(1)

methodMethod(1)

methodCallMethod Call(1)

usedByUsed by(1)

Other facts (6)

The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.

6 facts
PredicateValueRef
Rdf:typeMethod[1]
Rdf:typeMethod Call[4]
Has Parameter'cumulative'[1]
Has ArgumentCumulative[2]
OrganizesExecution Metrics[3]
AppliesCumtime Sorting[3]

Timeline

Timeline 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.

typebeam/660e3995-1e13-46bd-ac9f-742b3e9f7c2b
ex:Method
hasParameterbeam/660e3995-1e13-46bd-ac9f-742b3e9f7c2b
ex:'cumulative'
labelbeam/660e3995-1e13-46bd-ac9f-742b3e9f7c2b
sort_stats
hasArgumentbeam/65957df4-b73b-432a-9942-de8252cc92e4
ex:cumulative
organizesbeam/51125ee6-b618-48ae-8493-828d91a10410
ex:execution-metrics
appliesbeam/51125ee6-b618-48ae-8493-828d91a10410
ex:cumtime-sorting
typebeam/bb0c421a-abf6-4f60-a2a9-6428edaf8c0a
ex:Method-Call
labelbeam/bb0c421a-abf6-4f60-a2a9-6428edaf8c0a
sort_stats('cumulative')

References (4)

4 references
  1. ctx:claims/beam/660e3995-1e13-46bd-ac9f-742b3e9f7c2b
    • full textbeam-chunk
      text/plain1 KBdoc:beam/660e3995-1e13-46bd-ac9f-742b3e9f7c2b
      Show excerpt
      time.sleep(10) # Simulating a time-consuming task def main(): start_time = datetime.datetime.now() # Profile the critical assignment code profiler = cProfile.Profile() profiler.enable() critical_assignmen
  2. ctx:claims/beam/65957df4-b73b-432a-9942-de8252cc92e4
    • full textbeam-chunk
      text/plain957 Bdoc:beam/65957df4-b73b-432a-9942-de8252cc92e4
      Show excerpt
      - **Optimization**: Use the timing information to identify bottlenecks and optimize the query rewriting logic. ### Example with Profiling You can use `cProfile` to profile the entire process: ```python import cProfile import pstats def
  3. ctx:claims/beam/51125ee6-b618-48ae-8493-828d91a10410
  4. ctx:claims/beam/bb0c421a-abf6-4f60-a2a9-6428edaf8c0a

See also

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