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1. mapMaybeM :: Applicative m => (a -> m (Maybe b)) -> [a] -> m [b]

   ghc-lib-parser	GHC.Utils.Monad

   Applicative version of mapMaybe

2. mapMaybe :: Ord b => (a -> Maybe b) -> MaxQueue a -> MaxQueue b

   pqueue	Data.PQueue.Max

   Maps a function over the elements of the queue, and collects the Just values.

3. mapMaybe :: Ord b => (a -> Maybe b) -> MinQueue a -> MinQueue b

   pqueue	Data.PQueue.Min

   Map elements and collect the Just results.

4. mapMWithKey :: (Ord k, Monad m) => (k -> a -> m b) -> MaxPQueue k a -> m (MaxPQueue k b)

   pqueue	Data.PQueue.Prio.Max

   A strictly accumulating version of traverseWithKey. This works well in IO and strict State, and is likely what you want for other "strict" monads, where ⊥ >>= pure () = ⊥.

5. mapMaybe :: Ord k => (a -> Maybe b) -> MaxPQueue k a -> MaxPQueue k b

   pqueue	Data.PQueue.Prio.Max

   Map values and collect the Just results.

6. mapMaybeWithKey :: Ord k => (k -> a -> Maybe b) -> MaxPQueue k a -> MaxPQueue k b

   pqueue	Data.PQueue.Prio.Max

   Map values and collect the Just results.

7. mapMWithKey :: (Ord k, Monad m) => (k -> a -> m b) -> MinPQueue k a -> m (MinPQueue k b)

   pqueue	Data.PQueue.Prio.Min

   A strictly accumulating version of traverseWithKey. This works well in IO and strict State, and is likely what you want for other "strict" monads, where ⊥ >>= pure () = ⊥.

8. mapMaybe :: Ord k => (a -> Maybe b) -> MinPQueue k a -> MinPQueue k b

   pqueue	Data.PQueue.Prio.Min

   Map values and collect the Just results.

9. mapMaybeWithKey :: Ord k => (k -> a -> Maybe b) -> MinPQueue k a -> MinPQueue k b

   pqueue	Data.PQueue.Prio.Min

   Map values and collect the Just results.

10. mapMBound :: forall m (f :: Type -> Type) b c a . (Monad m, Traversable f) => (b -> m c) -> Scope b f a -> m (Scope c f a)

    bound	Bound.Scope

    mapM over both bound and free variables

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