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New Vectors has 13 facts recorded in Dontopedia across 5 references, with 2 live disagreements.
Mostly:has shape(2), rdf:type(2), data structure(1)
dataStructurecopiesFromhasDataTypeinitializedWithallocatedWithOther 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.
assignsVariableAssigns Variable(1)ex:_resizecreatesNewMatrixCreates New Matrix(1)ex:_resizecreatesNewObjectCreates New Object(1)ex:_resizeisCopiedToIs Copied to(1)ex:self.vectorsmeasuresAttributeMeasures Attribute(1)ex:Indexing_PerformancetargetsRangeTargets Range(1)ex:slicing_operationTimeline 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.
doc:beam/64b78ef0-51e8-44c3-8e8b-4efc1e6f6610def _resize(self): new_capacity = int(1.5 * self.capacity) # Increase capacity by 50% new_vectors = lil_matrix((new_capacity, self.vector_size), dtype=np.float32) new_vectors[:self.capacity] = self.vectors …
doc:beam/0cb60209-6aed-4aab-9fcf-4a2b2c8059a3- The `get_vectors` method returns the stored vectors up to the current count as a dense array. 4. **Resizing**: - The `_resize` method increases the capacity of the matrix by 50% and copies the existing vectors to the new matrix. #…
doc:beam/84374ede-abf6-45be-8655-597249e8102ereturn self.vectors[:self.num_vectors].toarray() def _resize(self): new_capacity = int(1.5 * self.capacity) # Increase capacity by 50% new_vectors = lil_matrix((new_capacity, self.vector_size), dtype=np.float3…
doc:beam/c9fb5d03-21a9-4fec-954f-8c2ceb15ff5ddef add_vector(self, vector): if self.num_vectors == self.capacity: self._resize() self.vectors[self.num_vectors] = vector self.num_vectors += 1 def get_vectors(self): return self.vectors…
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