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Within LTS Haskell 24.33 (ghc-9.10.3)

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1. mapWithKey :: (k -> v1 -> v2) -> WeightedPSQ w k v1 -> WeightedPSQ w k v2

   cabal-install-solver	Distribution.Solver.Modular.WeightedPSQ

   O(N). Update the values.

2. mapDeps :: (Component -> a -> b) -> ComponentDeps a -> ComponentDeps b

   cabal-install-solver	Distribution.Solver.Types.ComponentDeps

   Keep only selected components (and their associated deps info).

3. mapMB :: (Int -> Int) -> Approx -> Approx

   cdar-mBound	Data.CDAR.Approx

   No documentation available.

4. mapSubvectors :: (Vector u a, Vector v b) => (u a -> v b) -> Chimera u a -> Chimera v b

   chimera	Data.Chimera

   Map subvectors of a stream, using a given length-preserving function.

5. mapAccumL :: forall acc x y (n :: Nat) . (acc -> x -> (acc, y)) -> acc -> Vec n x -> (acc, Vec n y)

   clash-prelude	Clash.Explicit.Prelude

   The mapAccumL function behaves like a combination of map and foldl; it applies a function to each element of a vector, passing an accumulating parameter from left to right, and returning a final value of this accumulator together with the new vector.

   >>> mapAccumL (\acc x -> (acc + x,acc + 1)) 0 (1 :> 2 :> 3 :> 4 :> Nil)
   (10,1 :> 2 :> 4 :> 7 :> Nil)
   

   "mapAccumL f acc xs" corresponds to the following circuit layout:

6. mapAccumR :: forall acc x y (n :: Nat) . (acc -> x -> (acc, y)) -> acc -> Vec n x -> (acc, Vec n y)

   clash-prelude	Clash.Explicit.Prelude

   The mapAccumR function behaves like a combination of map and foldr; it applies a function to each element of a vector, passing an accumulating parameter from right to left, and returning a final value of this accumulator together with the new vector.

   >>> mapAccumR (\acc x -> (acc + x,acc + 1)) 0 (1 :> 2 :> 3 :> 4 :> Nil)
   (10,10 :> 8 :> 5 :> 1 :> Nil)
   

   "mapAccumR f acc xs" corresponds to the following circuit layout:

7. mapAccumL :: forall acc x y (n :: Nat) . (acc -> x -> (acc, y)) -> acc -> Vec n x -> (acc, Vec n y)

   clash-prelude	Clash.Explicit.Prelude.Safe

   The mapAccumL function behaves like a combination of map and foldl; it applies a function to each element of a vector, passing an accumulating parameter from left to right, and returning a final value of this accumulator together with the new vector.

   >>> mapAccumL (\acc x -> (acc + x,acc + 1)) 0 (1 :> 2 :> 3 :> 4 :> Nil)
   (10,1 :> 2 :> 4 :> 7 :> Nil)
   

   "mapAccumL f acc xs" corresponds to the following circuit layout:

8. mapAccumR :: forall acc x y (n :: Nat) . (acc -> x -> (acc, y)) -> acc -> Vec n x -> (acc, Vec n y)

   clash-prelude	Clash.Explicit.Prelude.Safe

   The mapAccumR function behaves like a combination of map and foldr; it applies a function to each element of a vector, passing an accumulating parameter from right to left, and returning a final value of this accumulator together with the new vector.

   >>> mapAccumR (\acc x -> (acc + x,acc + 1)) 0 (1 :> 2 :> 3 :> 4 :> Nil)
   (10,10 :> 8 :> 5 :> 1 :> Nil)
   

   "mapAccumR f acc xs" corresponds to the following circuit layout:

9. mapM :: (Traversable t, Monad m) => (a -> m b) -> t a -> m (t b)

   clash-prelude	Clash.HaskellPrelude

   Map each element of a structure to a monadic action, evaluate these actions from left to right, and collect the results. For a version that ignores the results see mapM_.

   Examples

   mapM is literally a traverse with a type signature restricted to Monad. Its implementation may be more efficient due to additional power of Monad.

10. mapM_ :: (Foldable t, Monad m) => (a -> m b) -> t a -> m ()

    clash-prelude	Clash.HaskellPrelude

    Map each element of a structure to a monadic action, evaluate these actions from left to right, and ignore the results. For a version that doesn't ignore the results see mapM. mapM_ is just like traverse_, but specialised to monadic actions.

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