Dontopedia

component_interaction

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)

component_interaction has 55 facts recorded in Dontopedia across 3 references, with 4 live disagreements.

55 facts·41 predicates·3 sources·4 in dispute

Mostly:rdf:type(4), has parameter(4), contains comment(4)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (17)

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.

containsFunctionContains Function(3)

callsFunctionCalls Function(2)

definesFunctionDefines Function(2)

assignedFromAssigned From(1)

coversCovers(1)

demonstratesDemonstrates(1)

demonstratesUsageDemonstrates Usage(1)

executesFunctionExecutes Function(1)

explainsImplementationExplains Implementation(1)

invokesInvokes(1)

isAttachedToIs Attached to(1)

isUsedByIs Used by(1)

storesOutputOfStores Output of(1)

Other facts (53)

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.

53 facts
PredicateValueRef
Rdf:typeFunction[1]
Rdf:typeFunction[2]
Rdf:typeFunction[3]
Rdf:typePython Function[3]
Has ParameterIndexes Parameter[1]
Has ParameterIndexes Parameter[2]
Has ParameterComponents Parameter[2]
Has ParameterIndexes Parameter[3]
Contains CommentNumber of components[1]
Contains CommentInitialize the components[1]
Contains CommentInitialize the result array[1]
Contains CommentMap the processes[1]
ReturnsResult Array[1]
ReturnsResult Array[2]
Is Pure Functiontrue[1]
Is Pure Functiontrue[2]
Has Loop VariableI Variable[2]
Has Loop VariableIndex Variable[2]
Uses ModuleNumpy Module[1]
Number of Components6[1]
Purposedemonstration[1]
Has Number of Iterations10[1]
Designed forDemonstration Context[1]
Has Namecomponent_interaction[2]
Called byTest Section[2]
Returns TypeNumpy Array[2]
Has Return StatementReturn Statement[2]
Is Nested Looptrue[2]
Written inPython[2]
Uses LibraryNum Py[2]
Has Docstringfalse[2]
Produces Integer Outputtrue[2]
Applies Sequential Operationstrue[2]
Has Time ComplexityO N M[2]
Is Deterministictrue[2]
Has No Side Effectstrue[2]
Requires Numpy Importtrue[2]
Has No External Dependenciestrue[2]
Uses Enumerate Functiontrue[2]
Produces Output of Same Lengthtrue[2]
Has Two Nested Loopstrue[2]
Commented Code Ratiohigh[2]
Implements Mathematical OperationComponent Wise Multiplication[2]
Reduces Magnitudetrue[2]
Produces Decreased Valuestrue[2]
Has Commented Steps4[2]
Uses Integer Conversiontrue[2]
Truncates Floating Pointtrue[2]
Has DocumentationExplanation Section[2]
Contains LoopComponent Loop[3]
Has Return ValueComponents[3]
Intended PurposeProcess Mapping[3]
Operates onIndexes Parameter[3]

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/954ee622-9764-4d74-98d9-694038ad8ec9
ex:Function
labelbeam/954ee622-9764-4d74-98d9-694038ad8ec9
component_interaction
hasParameterbeam/954ee622-9764-4d74-98d9-694038ad8ec9
ex:indexes-parameter
returnsbeam/954ee622-9764-4d74-98d9-694038ad8ec9
ex:result-array
usesModulebeam/954ee622-9764-4d74-98d9-694038ad8ec9
ex:numpy-module
numberOfComponentsbeam/954ee622-9764-4d74-98d9-694038ad8ec9
6
containsCommentbeam/954ee622-9764-4d74-98d9-694038ad8ec9
Number of components
containsCommentbeam/954ee622-9764-4d74-98d9-694038ad8ec9
Initialize the components
containsCommentbeam/954ee622-9764-4d74-98d9-694038ad8ec9
Initialize the result array
containsCommentbeam/954ee622-9764-4d74-98d9-694038ad8ec9
Map the processes
purposebeam/954ee622-9764-4d74-98d9-694038ad8ec9
demonstration
isPureFunctionbeam/954ee622-9764-4d74-98d9-694038ad8ec9
true
hasNumberOfIterationsbeam/954ee622-9764-4d74-98d9-694038ad8ec9
10
designedForbeam/954ee622-9764-4d74-98d9-694038ad8ec9
ex:demonstration-context
typebeam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
ex:Function
hasNamebeam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
component_interaction
hasParameterbeam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
ex:indexes-parameter
hasParameterbeam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
ex:components-parameter
returnsbeam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
ex:result-array
hasLoopVariablebeam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
ex:i-variable
hasLoopVariablebeam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
ex:index-variable
calledBybeam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
ex:test-section
returnsTypebeam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
ex:NumpyArray
hasReturnStatementbeam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
ex:return-statement
isNestedLoopbeam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
true
writtenInbeam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
ex:Python
usesLibrarybeam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
ex:NumPy
hasDocstringbeam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
false
producesIntegerOutputbeam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
true
appliesSequentialOperationsbeam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
true
hasTimeComplexitybeam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
ex:O-n-m
isDeterministicbeam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
true
hasNoSideEffectsbeam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
true
requiresNumpyImportbeam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
true
isPureFunctionbeam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
true
hasNoExternalDependenciesbeam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
true
usesEnumerateFunctionbeam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
true
producesOutputOfSameLengthbeam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
true
hasTwoNestedLoopsbeam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
true
commentedCodeRatiobeam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
high
implementsMathematicalOperationbeam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
ex:component-wise-multiplication
reducesMagnitudebeam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
true
producesDecreasedValuesbeam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
true
hasCommentedStepsbeam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
4
usesIntegerConversionbeam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
true
truncatesFloatingPointbeam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
true
hasDocumentationbeam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb
ex:explanation-section
typebeam/61acd873-a514-479a-98ab-0115d715ffd3
ex:Function
hasParameterbeam/61acd873-a514-479a-98ab-0115d715ffd3
ex:indexes-parameter
containsLoopbeam/61acd873-a514-479a-98ab-0115d715ffd3
ex:component-loop
hasReturnValuebeam/61acd873-a514-479a-98ab-0115d715ffd3
ex:components
typebeam/61acd873-a514-479a-98ab-0115d715ffd3
ex:PythonFunction
labelbeam/61acd873-a514-479a-98ab-0115d715ffd3
component_interaction
intendedPurposebeam/61acd873-a514-479a-98ab-0115d715ffd3
ex:process-mapping
operatesOnbeam/61acd873-a514-479a-98ab-0115d715ffd3
ex:indexes-parameter

References (3)

3 references
  1. ctx:claims/beam/954ee622-9764-4d74-98d9-694038ad8ec9
  2. 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
  3. ctx:claims/beam/61acd873-a514-479a-98ab-0115d715ffd3
    • full textbeam-chunk
      text/plain1 KBdoc:beam/61acd873-a514-479a-98ab-0115d715ffd3
      Show excerpt
      # Map the processes for component in components: # Apply process mapping component = component * 2 return components # Test the function indexes = np.array([1, 2, 3, 4, 5, 6, 7]) result = component_interact

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