Dontopedia

random.uniform

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

random.uniform has 21 facts recorded in Dontopedia across 4 references, with 4 live disagreements.

21 facts·12 predicates·4 sources·4 in dispute

Mostly:rdf:type(4), has argument(4), returns(2)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (3)

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.

assignedValueAssigned Value(1)

capturedAfterCaptured After(1)

capturedBeforeCaptured Before(1)

Other facts (20)

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.

20 facts
PredicateValueRef
Rdf:typeFunction Call[1]
Rdf:typeFunction Call[2]
Rdf:typeFunction Call[3]
Rdf:typeFunction Call[4]
Has Argument0[1]
Has Argument500[1]
Has Argument0.05[3]
Has Argument0.15[3]
ReturnsFloat Value[1]
ReturnsSimulated Processing Time[3]
Argument0[4]
Argument1[4]
Called FunctionRandom Uniform[1]
Generates Range0 to 500 Range[1]
Calls FunctionRandom Uniform[2]
Lower Bound0.05[3]
Upper Bound0.15[3]
Function Callrandom.uniform(0.05, 0.15)[3]
Simulatesprocessing-time-variability[3]
Functionrandom.uniform[4]

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/836ea79c-c6b8-4592-bbab-12991a241b12
ex:FunctionCall
calledFunctionbeam/836ea79c-c6b8-4592-bbab-12991a241b12
ex:random-uniform
hasArgumentbeam/836ea79c-c6b8-4592-bbab-12991a241b12
0
hasArgumentbeam/836ea79c-c6b8-4592-bbab-12991a241b12
500
generatesRangebeam/836ea79c-c6b8-4592-bbab-12991a241b12
ex:0-to-500-range
returnsbeam/836ea79c-c6b8-4592-bbab-12991a241b12
ex:float-value
typeblah/omega/774
ex:FunctionCall
callsFunctionblah/omega/774
ex:random-uniform
typebeam/89a59862-a7a9-4506-9ac7-298e2f20a995
ex:FunctionCall
labelbeam/89a59862-a7a9-4506-9ac7-298e2f20a995
random.uniform
hasArgumentbeam/89a59862-a7a9-4506-9ac7-298e2f20a995
0.05
hasArgumentbeam/89a59862-a7a9-4506-9ac7-298e2f20a995
0.15
returnsbeam/89a59862-a7a9-4506-9ac7-298e2f20a995
ex:simulated-processing-time
lowerBoundbeam/89a59862-a7a9-4506-9ac7-298e2f20a995
0.05
upperBoundbeam/89a59862-a7a9-4506-9ac7-298e2f20a995
0.15
functionCallbeam/89a59862-a7a9-4506-9ac7-298e2f20a995
random.uniform(0.05, 0.15)
simulatesbeam/89a59862-a7a9-4506-9ac7-298e2f20a995
processing-time-variability
typebeam/62dde65c-9bb7-4cdd-bf05-2972e2ade838
ex:FunctionCall
functionbeam/62dde65c-9bb7-4cdd-bf05-2972e2ade838
random.uniform
argumentbeam/62dde65c-9bb7-4cdd-bf05-2972e2ade838
0
argumentbeam/62dde65c-9bb7-4cdd-bf05-2972e2ade838
1

References (4)

4 references
  1. ctx:claims/beam/836ea79c-c6b8-4592-bbab-12991a241b12
    • full textbeam-chunk
      text/plain1 KBdoc:beam/836ea79c-c6b8-4592-bbab-12991a241b12
      Show excerpt
      ### Step 3: Optimize Search Queries After measuring the current performance, we can identify bottlenecks and optimize the search queries accordingly. ### Enhanced Benchmarking Script Here's an enhanced version of your script: ```python
  2. [2]7742 facts
    ctx:discord/blah/omega/774
    • full textomega-774
      text/plain2 KBdoc:agent/omega-774/ab2c9545-1237-4db2-9368-88d2aa8fff45
      Show excerpt
      [2025-12-13 14:58] omega [bot]: Your Python retry code for 429 and 502 errors looks solid and follows best practices with exponential backoff. To make it even more robust and production-ready, consider these quick refinements: - **Add jitt
  3. ctx:claims/beam/89a59862-a7a9-4506-9ac7-298e2f20a995
  4. ctx:claims/beam/62dde65c-9bb7-4cdd-bf05-2972e2ade838
    • full textbeam-chunk
      text/plain1 KBdoc:beam/62dde65c-9bb7-4cdd-bf05-2972e2ade838
      Show excerpt
      [Turn 3062] User: I'm collaborating with Patricia on a sprint planning session, and we're assessing pipeline risks for our CI/CD strategy. We're targeting 60% mitigation of potential risks. One of the risks we've identified is network laten

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