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  1. 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

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

    classy-prelude-yesod ClassyPrelude.Yesod

    Sort a vector.

  3. 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.

  4. vectorSearchStatistics :: JobStatistics2 -> Maybe VectorSearchStatistics

    gogol-bigquery Gogol.BigQuery

    Output only. Vector Search query specific statistics.

  5. vectorSearchStatistics :: JobStatistics2 -> Maybe VectorSearchStatistics

    gogol-bigquery Gogol.BigQuery.Types

    Output only. Vector Search query specific statistics.

  6. 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.

  7. vectorProperty :: FindNearest -> Maybe PropertyReference

    gogol-datastore Gogol.Datastore.Types

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

  8. vectorStatement :: QuasiQuoter

    hasql-th Hasql.TH 

    :: Statement params (Vector row)
    Statement producing a vector of rows.

    Examples

    >>> :t [vectorStatement|select 1 :: int2|]
... :: Statement () (Vector Int16)

  9. vectorToRepa :: (Storable e, Vector Vector e, Container Vector e) => Vector e -> Array V DIM1 e

    hmatrix-repa Data.Packed.Repa

    convert a Storable vector to a DIM1 repa array

  10. package vector-buffer

    A buffer compatible with Data.Vector.* A buffer type that can easily be converted to a Data.Vector.Storable vector from the vector package and compatible with hmatrix. Elements are pushed into the buffer. When the buffer is converted to a read-only vector, the last-pushed element occurs at the end. Monadic map functions also operate so that the last-pushed element is treated last.

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