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efficient vector storage

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efficient vector storage has 6 facts recorded in Dontopedia across 2 references, with 1 live disagreement.

6 facts·4 predicates·2 sources·1 in dispute

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Maturity scale raw canonical shape-checked rule-derived certified

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typebeam/0e98f2e1-cdc0-4a33-868b-98a143f5105d
ex:SystemProperty
typebeam/351b2382-2a34-473b-bd2a-24c0b6c7487e
ex:PerformanceOutcome
labelbeam/351b2382-2a34-473b-bd2a-24c0b6c7487e
efficient vector storage
resultsInbeam/351b2382-2a34-473b-bd2a-24c0b6c7487e
ex:potential-cost-savings
leadsTobeam/351b2382-2a34-473b-bd2a-24c0b6c7487e
ex:potential-cost-savings
expectedResultOfbeam/351b2382-2a34-473b-bd2a-24c0b6c7487e
ex:following-improved-implementations

References (2)

2 references
  1. ctx:claims/beam/0e98f2e1-cdc0-4a33-868b-98a143f5105d
    • full textbeam-chunk
      text/plain1 KBdoc:beam/0e98f2e1-cdc0-4a33-868b-98a143f5105d
      Show 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
  2. ctx:claims/beam/351b2382-2a34-473b-bd2a-24c0b6c7487e
    • full textbeam-chunk
      text/plain999 Bdoc:beam/351b2382-2a34-473b-bd2a-24c0b6c7487e
      Show excerpt
      - 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. B

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