[0, 0, 0]
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)
[0, 0, 0] has 16 facts recorded in Dontopedia across 6 references, with 2 live disagreements.
Mostly:rdf:type(6), has elements(1), all elements zero(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (9)
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.
calledWithCalled With(1)
- Find Nearest Neighbor
ex:find-nearest-neighbor
hasParameterHas Parameter(1)
- Find Nearest Neighbor
ex:find-nearest-neighbor
inverseOfInverse of(1)
- Normalized Zero Vector Variable
ex:normalized-zero-vector-variable
invoked-withInvoked With(1)
- Find Nearest Neighbor
ex:find-nearest-neighbor
returnsDefaultReturns Default(1)
- Code Segment
ex:code-segment
returnsOnZeroNormReturns on Zero Norm(1)
- Vector Normalization Function
ex:vector-normalization-function
returnsSameShapeReturns Same Shape(1)
- Normalize Vector Function
ex:normalize_vector-function
specifiesOutputSpecifies Output(1)
- Explicit Zero Vector Return
ex:explicit-zero-vector-return
usesInputUses Input(1)
- Zero Vector Test Case
ex:zero-vector-test-case
Other facts (13)
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.
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Vector Type | [1] |
| Rdf:type | Test Vector | [2] |
| Rdf:type | Vector | [3] |
| Rdf:type | Vector | [4] |
| Rdf:type | Num Py Array | [5] |
| Rdf:type | Tensor | [6] |
| Has Elements | 3 | [2] |
| All Elements Zero | true | [2] |
| Inverse of | Normalized Zero Vector Variable | [2] |
| Has Element Type | Integer | [2] |
| Created by | Np Zeros Function | [3] |
| Created by | Numpy Zeros | [4] |
| Shape | (len(word_embeddings.vector_size),) | [5] |
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.
References (6)
ctx:claims/beam/7fecae4a-f2ee-4e81-b6cf-fad3aa5905d6- full textbeam-chunktext/plain1 KB
doc:beam/7fecae4a-f2ee-4e81-b6cf-fad3aa5905d6Show excerpt
[Turn 4884] User: I'm collaborating with Patricia on sprint planning, and we're addressing vector bugs for 40% error reduction. One of the issues we're facing is with vector normalization. Here's the code: ```python import numpy as np def …
ctx:claims/beam/effdd747-aba7-4d72-890f-7f662a9523b1- full textbeam-chunktext/plain1 KB
doc:beam/effdd747-aba7-4d72-890f-7f662a9523b1Show excerpt
2. **Add Type Checking**: Ensure the input is a NumPy array. 3. **Add Error Handling**: Raise an informative error if the input is not a valid vector. ### Improved Implementation Here's an improved version of your `normalize_vector` funct…
ctx:claims/beam/0e34ea7d-d474-440a-ac1e-e9e14d1357a0ctx:claims/beam/22824b9d-3561-4637-8955-aba85983b393ctx:claims/beam/93399bbc-ebe1-4c6b-be2c-c95de6e77fa8ctx:claims/beam/1adff1c9-94a8-4376-92a8-08bd968e378c- full textbeam-chunktext/plain1 KB
doc:beam/1adff1c9-94a8-4376-92a8-08bd968e378cShow 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…
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