Dontopedia

dense_rank

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-08.)

dense_rank has 13 facts recorded in Dontopedia across 2 references, with 1 live disagreement.

13 facts·10 predicates·2 sources·1 in dispute

Mostly:rdf:type(2), returns(2), has parameter(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.

callsFunctionCalls Function(1)

describesDescribes(1)

generatedByGenerated by(1)

hasComponentHas Component(1)

usesUses(1)

Other facts (12)

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.

12 facts
PredicateValueRef
Rdf:typeFunction[1]
Rdf:typeFunction[2]
ReturnsDense Score Object[1]
ReturnsRandom Score[2]
Has ParameterQuery[1]
Is Mock Implementationtrue[1]
Simulates Latencytrue[1]
Described AsDense Ranking Simulation[2]
Part ofHybrid Ranking Logic[2]
Returns TypeNumber[2]
ProducesDense Score[2]
SimulatesDense Ranking Technique[2]

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/094d5784-9736-417a-b216-d7a8d4224478
ex:Function
hasParameterbeam/094d5784-9736-417a-b216-d7a8d4224478
ex:query
returnsbeam/094d5784-9736-417a-b216-d7a8d4224478
ex:dense-score-object
isMockImplementationbeam/094d5784-9736-417a-b216-d7a8d4224478
true
simulatesLatencybeam/094d5784-9736-417a-b216-d7a8d4224478
true
typebeam/5c41eac7-83bd-48eb-8d72-5fe9b078685f
ex:Function
labelbeam/5c41eac7-83bd-48eb-8d72-5fe9b078685f
dense_rank
describedAsbeam/5c41eac7-83bd-48eb-8d72-5fe9b078685f
ex:dense-ranking-simulation
returnsbeam/5c41eac7-83bd-48eb-8d72-5fe9b078685f
ex:random-score
partOfbeam/5c41eac7-83bd-48eb-8d72-5fe9b078685f
ex:hybrid-ranking-logic
returnsTypebeam/5c41eac7-83bd-48eb-8d72-5fe9b078685f
ex:number
producesbeam/5c41eac7-83bd-48eb-8d72-5fe9b078685f
ex:dense-score
simulatesbeam/5c41eac7-83bd-48eb-8d72-5fe9b078685f
ex:dense-ranking-technique

References (2)

2 references
  1. ctx:claims/beam/094d5784-9736-417a-b216-d7a8d4224478
    • full textbeam-chunk
      text/plain1 KBdoc:beam/094d5784-9736-417a-b216-d7a8d4224478
      Show excerpt
      ``` Here, `-w 4` specifies 4 worker processes, and `-t 2.5` sets a 2.5-second timeout. ### Step 4: Implement Hybrid Ranking Logic Here's a complete example implementation: ```python from flask import Flask, request, jsonify from flask_l
  2. ctx:claims/beam/5c41eac7-83bd-48eb-8d72-5fe9b078685f

See also

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