numpy.array_split
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-08.)
numpy.array_split has 3 facts recorded in Dontopedia across 1 reference.
3 facts·2 predicates·1 sources
Maturity scale
raw canonical shape-checked rule-derived certifiedOther facts (2)
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.
2 facts
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Numpy Function | [1] |
| Used in | Batch Search Function | [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/5a92a7f8-dbf8-4e2c-bec0-f0a72a9230c9
ex:NumpyFunction
—
labelbeam/5a92a7f8-dbf8-4e2c-bec0-f0a72a9230c9
numpy.array_split
—
usedInbeam/5a92a7f8-dbf8-4e2c-bec0-f0a72a9230c9
ex:batch-search-function
References (1)
1 references
ctx:claims/beam/5a92a7f8-dbf8-4e2c-bec0-f0a72a9230c9- full textbeam-chunktext/plain1 KB
doc:beam/5a92a7f8-dbf8-4e2c-bec0-f0a72a9230c9Show excerpt
from concurrent.futures import ThreadPoolExecutor # Create a FAISS index d = 128 # dimension index = faiss.IndexFlatL2(d) # Add vectors to the index vectors = np.random.rand(10000, d).astype('float32') index.add(vectors) # Function to p…
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.