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  1. data Ets'first

    codec-beam Codec.Beam.Bifs

    No documentation available.

  2. Ets'first :: Ets'first

    codec-beam Codec.Beam.Bifs

    No documentation available.

  3. depthFirstSearch :: forall (edge :: Type -> Type) node edgeLabel nodeLabel . (Edge edge, Ord node) => Graph edge node edgeLabel nodeLabel -> Forest node

    comfort-graph Data.Graph.Comfort 

    >>> :{
Graph.depthFirstSearch $
Graph.fromList [(0,'A'),(1,'B')]
[(Graph.DirEdge 1 0, 23), (Graph.DirEdge 0 (1::Int), 42::Integer)]
:}
[Node {rootLabel = 0, subForest = [Node {rootLabel = 1, subForest = []}]}]

    :{
    (TestGraph gr) -> Graph.depthFirstSearch gr === GraphAlt.depthFirstSearch gr :}

  4. cueFirstTrackNumber :: CueSheet -> !Natural

    cue-sheet Text.CueSheet

    Number of the first track. Typically 1, but may be greater than 1.

  5. cueFirstTrackNumber :: CueSheet -> !Natural

    cue-sheet Text.CueSheet.Types

    Number of the first track. Typically 1, but may be greater than 1.

  6. type DFirstMassMoment = 'Dim 'Pos1 'Pos1 'Zero 'Zero 'Zero 'Zero 'Zero

    dimensional Numeric.Units.Dimensional.Quantities

    No documentation available.

  7. staticFirst' :: (StaticStrong p, Typeable a, Typeable b, Typeable c) => p a b -> p (a, c) (b, c)

    distributed-closure Data.Profunctor.Strong.Static

    No documentation available.

  8. listTwoFirst :: ListTwo a -> a

    dot Dot.Types

    No documentation available.

  9. performOnFirstSample :: Monad m => m (MSF m a b) -> MSF m a b

    dunai Control.Monad.Trans.MSF.Except

    Extract an MSF from a monadic action. Runs a monadic action that produces an MSF on the first iteration/step, and uses that MSF as the main signal function for all inputs (including the first one).

  10. widthFirst :: forall (m :: Type -> Type) a b . (Functor m, Monad m) => MSF (ListT m) a b -> MSF m a [b]

    dunai Control.Monad.Trans.MSF.List

    Run an MSF in the ListT transformer (i.e., multiple MSFs producing each producing one output), by applying the input stream to each MSF in the list transformer and concatenating the outputs of the MSFs together. An MSF in the ListT transformer can spawn into more than one MSF, or none, so the outputs produced at each individual step are not guaranteed to all have the same length.

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