get_vectors
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-07.)
get_vectors is returns stored vectors up to current count.
Mostly:rdf:type(3), returns scope(2), returns type(2)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (3)
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hasMethodHas Method(3)
- Sparse Vectorizer Class
ex:sparse-vectorizer-class - Vectors Array
ex:vectors-array - Vector Storage Class
ex:vector-storage-class
Other facts (17)
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 | Method | [1] |
| Rdf:type | Method | [2] |
| Rdf:type | Python Method | [3] |
| Returns Scope | partialArray | [1] |
| Returns Scope | Vectors Up to Count | [2] |
| Returns Type | Numpy Array | [1] |
| Returns Type | Dense Array | [3] |
| Returns Subset | true | [1] |
| Returns Subset | All Vectors | [2] |
| Returns | Stored Vectors | [2] |
| Returns | Dense Array | [3] |
| Is Method of | Vectors Array | [1] |
| Returns Stored Vectors | upToCurrentCount | [1] |
| Description | returns stored vectors up to current count | [2] |
| Has Postcondition | Returns Vectors | [2] |
| Function | Returns Stored Vectors | [3] |
| Scope | Current Count | [3] |
Timeline
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References (3)
ctx:claims/beam/0e98f2e1-cdc0-4a33-868b-98a143f5105d- full textbeam-chunktext/plain1 KB
doc:beam/0e98f2e1-cdc0-4a33-868b-98a143f5105dShow excerpt
- A NumPy array `vectors` is created with the specified initial capacity and vector size. 2. **Adding Vectors**: - The `add_vector` method checks if the current number of vectors has reached the capacity. If so, it resizes the array …
ctx:claims/beam/e84015fa-c493-4afc-989d-244a981b70fe- full textbeam-chunktext/plain1 KB
doc:beam/e84015fa-c493-4afc-989d-244a981b70feShow excerpt
- The `add_vector` method checks if the current number of vectors has reached the capacity. If so, it resizes the array to accommodate more vectors. - The new vector is added to the array, and the count of vectors is incremented. 3. …
ctx:claims/beam/078a77df-55b0-4824-8111-4d77ab0c96e1- full textbeam-chunktext/plain1 KB
doc:beam/078a77df-55b0-4824-8111-4d77ab0c96e1Show excerpt
new_vectors[:self.capacity] = self.vectors self.vectors = new_vectors self.capacity = new_capacity # Example usage: vector_size = 3 vectorizer = SparseVectorizer(vector_size) vectorizer.add_vector(np.array([1, 0, 0]…
See also
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