Dontopedia

Outer Loop

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

Outer Loop has 17 facts recorded in Dontopedia across 7 references, with 1 live disagreement.

17 facts·15 predicates·7 sources·1 in dispute

Mostly:rdf:type(3), relies on(1), is(1)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (8)

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.

appliedInApplied in(1)

consistsOfConsists of(1)

createdInLoopCreated in Loop(1)

enclosedByEnclosed by(1)

isContainedInIs Contained in(1)

is-controlled-byIs Controlled by(1)

isLoopVariableIs Loop Variable(1)

nestedWithinNested Within(1)

Other facts (17)

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.

17 facts
PredicateValueRef
Rdf:typeFor Loop[3]
Rdf:typeLoop[5]
Rdf:typeOuter Loop[7]
Relies onOtt Antonsen Reduction[1]
IsKuramoto Approximation[1]
PrecedesInner Loop[1]
ApproximatesSynchronization Dynamics[1]
PerformsKuramoto Phase Updates[2]
Iteration Variablei[3]
Iterates OverRange Object[3]
ContainsInner Loop[4]
Contains Inner LoopComponent Iteration[5]
Has Start Value1000[6]
Has End Value14550[6]
Has Step Size100[6]
ControlsInner Loop[6]
EnclosesInner Loop[7]

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.

reliesOnblah/watt-activation/part-208
ex:ott-antonsen-reduction
isblah/watt-activation/part-208
ex:kuramoto-approximation
precedesblah/watt-activation/part-208
ex:inner-loop
approximatesblah/watt-activation/part-208
ex:synchronization-dynamics
performsblah/watt-activation/part-209
ex:kuramoto-phase-updates
typebeam/4138d5af-2f28-48bd-82f2-ede483c92f8c
ex:ForLoop
iterationVariablebeam/4138d5af-2f28-48bd-82f2-ede483c92f8c
i
iteratesOverbeam/4138d5af-2f28-48bd-82f2-ede483c92f8c
ex:range-object
containsbeam/a55e7e9c-f5ae-4d91-b7ce-cd62d5497865
ex:inner-loop
typebeam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
ex:Loop
containsInnerLoopbeam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
ex:component-iteration
hasStartValuebeam/789ff1ce-e287-4688-bacb-e009f454ec0f
1000
hasEndValuebeam/789ff1ce-e287-4688-bacb-e009f454ec0f
14550
hasStepSizebeam/789ff1ce-e287-4688-bacb-e009f454ec0f
100
controlsbeam/789ff1ce-e287-4688-bacb-e009f454ec0f
ex:inner-loop
typebeam/fef4fa6f-c278-4da1-b9a8-0acd2941b0c7
ex:OuterLoop
enclosesbeam/fef4fa6f-c278-4da1-b9a8-0acd2941b0c7
ex:inner-loop

References (7)

7 references
  1. [1]Part 2084 facts
    ctx:discord/blah/watt-activation/part-208
  2. [2]Part 2091 fact
    ctx:discord/blah/watt-activation/part-209
  3. ctx:claims/beam/4138d5af-2f28-48bd-82f2-ede483c92f8c
    • full textbeam-chunk
      text/plain1 KBdoc:beam/4138d5af-2f28-48bd-82f2-ede483c92f8c
      Show excerpt
      :param weights: Dictionary of weights for each factor :return: Weighted score """ weighted_score = sum(option_scores[factor] * weights[factor] for factor in option_scores) return weighted_score def main(): # Define
  4. ctx:claims/beam/a55e7e9c-f5ae-4d91-b7ce-cd62d5497865
  5. ctx:claims/beam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
    • full textbeam-chunk
      text/plain1 KBdoc:beam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
      Show excerpt
      result = np.zeros_like(indexes) # Map the processes for i, index in enumerate(indexes): # Apply process mapping for component in components: index = index * component # Reduce in
  6. ctx:claims/beam/789ff1ce-e287-4688-bacb-e009f454ec0f
    • full textbeam-chunk
      text/plain1 KBdoc:beam/789ff1ce-e287-4688-bacb-e009f454ec0f
      Show excerpt
      # Simulate covering groups of steps for i in range(1000, 14550, 100): # Cover steps in groups of 100 for j in range(i, min(i + 100, 14550)): self.steps[j].assert_called() self.cov
  7. ctx:claims/beam/fef4fa6f-c278-4da1-b9a8-0acd2941b0c7
    • full textbeam-chunk
      text/plain1 KBdoc:beam/fef4fa6f-c278-4da1-b9a8-0acd2941b0c7
      Show excerpt
      worker_counts = [5, 10, 20] for batch_size in batch_sizes: for worker_count in worker_counts: start_time = time.time() reformulated_queries = handle_queries(test_queries[:batch_size], max_workers=worker_count) e

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