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Np Percentile

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

Np Percentile has 6 facts recorded in Dontopedia across 2 references, with 1 live disagreement.

6 facts·5 predicates·2 sources·1 in dispute

Mostly:called with(2), rdfs:label(1), rdf:type(1)

Maturity scale raw canonical shape-checked rule-derived certified

Called Within disputecalledWith

  • Ingestion Times[1]sourceall time · 1fa70fe7 Abc5 4650 Aa84 5baafcb016d6
  • 90[1]sourceall time · 1fa70fe7 Abc5 4650 Aa84 5baafcb016d6

Rdfs:labelrdfs:label

  • numpy percentile[1]sourceall time · 1fa70fe7 Abc5 4650 Aa84 5baafcb016d6

Rdf:typerdf:type

  • Function[1]all time · 1fa70fe7 Abc5 4650 Aa84 5baafcb016d6

Has PercentilehasPercentile

  • 90[2]all time · E57cdfe2 A5bc 4bf9 9552 Dda66dee590a

Operates onoperatesOn

  • response_times_np[2]all time · E57cdfe2 A5bc 4bf9 9552 Dda66dee590a

Inbound mentions (4)

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.

calculatedByCalculated by(2)

callsFunctionCalls Function(1)

isParameterOfIs Parameter of(1)

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.

6 undated
—
calledWithbeam/1fa70fe7-abc5-4650-aa84-5baafcb016d6
ex:ingestion-times
—
calledWithbeam/1fa70fe7-abc5-4650-aa84-5baafcb016d6
90
—
hasPercentilebeam/e57cdfe2-a5bc-4bf9-9552-dda66dee590a
90
—
operatesOnbeam/e57cdfe2-a5bc-4bf9-9552-dda66dee590a
response_times_np
—
labelbeam/1fa70fe7-abc5-4650-aa84-5baafcb016d6
numpy percentile
—
typebeam/1fa70fe7-abc5-4650-aa84-5baafcb016d6
ex:Function

References (2)

2 references
  1. [1]beam-chunk4 facts
    customctx:claims/beam/1fa70fe7-abc5-4650-aa84-5baafcb016d6
    • full textbeam-chunk
      text/plain1 KBdoc:beam/1fa70fe7-abc5-4650-aa84-5baafcb016d6
      Show excerpt
      # Simulate the log ingestion process time.sleep(0.1) logging.info(message) # Define the benchmarking function def benchmark_ingestion(): # Define the number of events num_events = 5000 # Define the target ingestion…
  2. [2]beam-chunk2 facts
    customctx:claims/beam/e57cdfe2-a5bc-4bf9-9552-dda66dee590a
    • full textbeam-chunk
      text/plain1 KBdoc:beam/e57cdfe2-a5bc-4bf9-9552-dda66dee590a
      Show excerpt
      # Simulate a more efficient search query with a reduced response time # Assume a normal distribution centered around 100ms with a standard deviation of 20ms response_time = max(0, random.normalvariate(100, 20)) time.sleep(re…

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