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1. vectorSurfaceIntegral :: SurfaceApprox -> VectorField -> Surface -> Vec

   LPFP-core	LPFPCore.Integrals

   No documentation available.

2. vectorVolumeIntegral :: VolumeApprox -> VectorField -> Volume -> Vec

   LPFP-core	LPFPCore.Integrals

   No documentation available.

3. vectorPart :: (Representable f, Rep f ~ QuaternionBasis) => f r -> (r, r, r)

   algebra	Numeric.Algebra.Quaternion

   No documentation available.

4. vectorPart' :: (Representable f, Rep f ~ QuaternionBasis') => f r -> (r, r, r)

   algebra	Numeric.Coalgebra.Quaternion

   No documentation available.

5. vectorBuilderC :: forall (m :: Type -> Type) v e n i r . (PrimMonad m, Vector v e, PrimMonad n, PrimState m ~ PrimState n) => Int -> ((e -> n ()) -> ConduitT i Void m r) -> ConduitT i (v e) m r

   classy-prelude-yesod	ClassyPrelude.Yesod

   Generally speaking, yielding values from inside a Conduit requires some allocation for constructors. This can introduce an overhead, similar to the overhead needed to represent a list of values instead of a vector. This overhead is even more severe when talking about unboxed values. This combinator allows you to overcome this overhead, and efficiently fill up vectors. It takes two parameters. The first is the size of each mutable vector to be allocated. The second is a function. The function takes an argument which will yield the next value into a mutable vector. Under the surface, this function uses a number of tricks to get high performance. For more information on both usage and implementation, please see: https://www.fpcomplete.com/user/snoyberg/library-documentation/vectorbuilder

6. vectorSort :: (Vector v e, Ord e) => v e -> v e

   classy-prelude-yesod	ClassyPrelude.Yesod

   Sort a vector.

7. vectorSortBy :: Vector v e => (e -> e -> Ordering) -> v e -> v e

   classy-prelude-yesod	ClassyPrelude.Yesod

   Sort a vector using an supplied element ordering function.

8. vectorSearchStatistics :: JobStatistics2 -> Maybe VectorSearchStatistics

   gogol-bigquery	Gogol.BigQuery

   Output only. Vector Search query specific statistics.

9. vectorSearchStatistics :: JobStatistics2 -> Maybe VectorSearchStatistics

   gogol-bigquery	Gogol.BigQuery.Types

   Output only. Vector Search query specific statistics.

10. vectorProperty :: FindNearest -> Maybe PropertyReference

    gogol-datastore	Gogol.Datastore

    Required. An indexed vector property to search upon. Only documents which contain vectors whose dimensionality match the query_vector can be returned.

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