Dontopedia

print(I)

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

print(I) has 10 facts recorded in Dontopedia across 3 references, with 3 live disagreements.

10 facts·5 predicates·3 sources·3 in dispute

Mostly:rdf:type(3), prints entity(2), formats output(1)

Maturity scale raw canonical shape-checked rule-derived certified

Other facts (8)

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.

8 facts
PredicateValueRef
Rdf:typeOutput Statement[1]
Rdf:typeCode Element[2]
Rdf:typeCode Statement[3]
Prints EntityMatrix[1]
Prints EntityAverage Search Time[1]
Formats OutputAverage search time: {average_search_time}ms[1]
OutputsI Variable[2]
Is Last Linetrue[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/662fcc2b-6050-4e8f-abcc-d90facfb6997
ex:OutputStatement
printsEntitybeam/662fcc2b-6050-4e8f-abcc-d90facfb6997
ex:matrix
printsEntitybeam/662fcc2b-6050-4e8f-abcc-d90facfb6997
ex:average-search-time
formatsOutputbeam/662fcc2b-6050-4e8f-abcc-d90facfb6997
Average search time: {average_search_time}ms
typebeam/9aef4a43-c110-4730-bed6-18e6312b77ad
ex:CodeElement
labelbeam/9aef4a43-c110-4730-bed6-18e6312b77ad
print(I)
outputsbeam/9aef4a43-c110-4730-bed6-18e6312b77ad
ex:I-variable
is-last-linebeam/9aef4a43-c110-4730-bed6-18e6312b77ad
true
typebeam/395d396a-6e1c-4c7b-a718-1253948ad22f
ex:CodeStatement
labelbeam/395d396a-6e1c-4c7b-a718-1253948ad22f
Print Statement

References (3)

3 references
  1. ctx:claims/beam/662fcc2b-6050-4e8f-abcc-d90facfb6997
  2. ctx:claims/beam/9aef4a43-c110-4730-bed6-18e6312b77ad
  3. ctx:claims/beam/395d396a-6e1c-4c7b-a718-1253948ad22f
    • full textbeam-chunk
      text/plain1 KBdoc:beam/395d396a-6e1c-4c7b-a718-1253948ad22f
      Show excerpt
      #### Example: ```python import numpy as np x = np.array([1, 2, 3]) x_l1 = x / np.sum(np.abs(x)) print(x_l1) ``` ### 3. Max Normalization #### Definition: Max normalization scales the vector so that the maximum absolute value of the vecto

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