Dontopedia

float('inf')

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)

float('inf') has 5 facts recorded in Dontopedia across 3 references, with 1 live disagreement.

5 facts·2 predicates·3 sources·1 in dispute
Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (2)

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.

assignedFromAssigned From(1)

usesInfinityInitializationUses Infinity Initialization(1)

Other facts (4)

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.

4 facts
PredicateValueRef
Rdf:typePython Construct[1]
Rdf:typeNumeric Constant[2]
Rdf:typeLiteral[3]
Purposeinitialization of minimum distance[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.

typebeam/34094d4f-c249-4e79-922e-dfb9f6ea172a
ex:PythonConstruct
purposebeam/34094d4f-c249-4e79-922e-dfb9f6ea172a
initialization of minimum distance
typebeam/1adff1c9-94a8-4376-92a8-08bd968e378c
ex:NumericConstant
typebeam/ec325d43-e9a5-4bd8-934d-599822520612
ex:Literal
labelbeam/ec325d43-e9a5-4bd8-934d-599822520612
float('inf')

References (3)

3 references
  1. ctx:claims/beam/34094d4f-c249-4e79-922e-dfb9f6ea172a
    • full textbeam-chunk
      text/plain1 KBdoc:beam/34094d4f-c249-4e79-922e-dfb9f6ea172a
      Show excerpt
      word_embeddings = KeyedVectors.load_word2vec_format('path/to/word2vec.txt', binary=False) def find_nearest_neighbor(embedding, word_embeddings): min_distance = float('inf') nearest_neighbor = None for word in word_embeddings.in
  2. ctx:claims/beam/1adff1c9-94a8-4376-92a8-08bd968e378c
    • full textbeam-chunk
      text/plain1 KBdoc:beam/1adff1c9-94a8-4376-92a8-08bd968e378c
      Show excerpt
      # Average the embeddings of the term tokens if term_start is not None and term_end is not None: term_embedding = last_hidden_state[:, term_start:term_end, :].mean(dim=1) else: term_embedding = torch.zeros((1
  3. ctx:claims/beam/ec325d43-e9a5-4bd8-934d-599822520612

See also

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