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  1. getOutputVectorBuffer :: MonadIO m => OutputVector -> m (Ptr ())

    gi-gio GI.Gio.Structs.OutputVector

    Get the value of the “buffer” field. When overloading is enabled, this is equivalent to

    get outputVector #buffer
    

  2. getOutputVectorSize :: MonadIO m => OutputVector -> m CSize

    gi-gio GI.Gio.Structs.OutputVector

    Get the value of the “size” field. When overloading is enabled, this is equivalent to

    get outputVector #size
    

  3. newZeroOutputVector :: MonadIO m => m OutputVector

    gi-gio GI.Gio.Structs.OutputVector

    Construct a OutputVector struct initialized to zero.

  4. setOutputVectorBuffer :: MonadIO m => OutputVector -> Ptr () -> m ()

    gi-gio GI.Gio.Structs.OutputVector

    Set the value of the “buffer” field. When overloading is enabled, this is equivalent to

    set outputVector [ #buffer := value ]
    

  5. setOutputVectorSize :: MonadIO m => OutputVector -> CSize -> m ()

    gi-gio GI.Gio.Structs.OutputVector

    Set the value of the “size” field. When overloading is enabled, this is equivalent to

    set outputVector [ #size := value ]
    

  6. decodeVector :: (Serialise a, Vector v a) => Decoder s (v a)

    serialise Codec.Serialise.Class

    Generic decoder for vectors. Its intended use is to allow easy definition of Serialise instances for custom vector

  7. encodeVector :: (Serialise a, Vector v a) => v a -> Encoding

    serialise Codec.Serialise.Class

    Generic encoder for vectors. Its intended use is to allow easy definition of Serialise instances for custom vector

  8. initializationVector :: IV k -> {-# UNPACK #-} !ByteString

    crypto-api Crypto.Types

    No documentation available.

  9. colVector :: Vector a -> Matrix a

    matrix Data.Matrix

    O(1). Represent a vector as a one column matrix.

  10. getMatrixAsVector :: Matrix a -> Vector a

    matrix Data.Matrix

    O(rows*cols). Transform a Matrix to a Vector of size rows*cols. This is equivalent to get all the rows of the matrix using getRow and then append them, but far more efficient.

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