np.zeros()
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)
np.zeros() has 7 facts recorded in Dontopedia across 2 references, with 1 live disagreement.
Mostly:rdf:type(2), takes argument(1), has keyword argument(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound 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.
created-byCreated by(1)
- Zero Vector
ex:zero-vector
initializedByInitialized by(1)
- Vectors Array
ex:vectors-array
Other facts (6)
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 | Num Py Function | [1] |
| Rdf:type | Numpy Function | [2] |
| Takes Argument | Shape Tuple | [1] |
| Has Keyword Argument | Dtype Argument | [1] |
| Creates | Numpy Array Object | [1] |
| Parameter | Vector Size Parameter | [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.
References (2)
ctx:claims/beam/1d97c824-a92f-4574-8a4f-ad59542ea9aa- full textbeam-chunktext/plain1 KB
doc:beam/1d97c824-a92f-4574-8a4f-ad59542ea9aaShow excerpt
2. **Performance**: Accessing and traversing a trie can be slower compared to direct array access. 3. **Alternative Data Structures**: Depending on your use case, other data structures like NumPy arrays, sparse matrices, or even specialized…
ctx:claims/beam/0e34ea7d-d474-440a-ac1e-e9e14d1357a0
See also
Keep researching
Missing something or suspicious of what's here? Kick off a research session — a Claude agent will investigate, cite its sources, and file new facts into a dedicated context you can review before accepting into the shared view.