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Within LTS Haskell 24.52 (ghc-9.10.3)

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1. smapMaybe :: Stream r ix a => (a -> Maybe b) -> Array r ix a -> Vector DS b

   massiv	Data.Massiv.Vector

   Apply a function to each element of the array, while discarding Nothing and keeping the Maybe result.

   Examples

2. smapMaybeM :: forall r ix a b f . (Stream r ix a, Applicative f) => (a -> f (Maybe b)) -> Array r ix a -> f (Vector DS b)

   massiv	Data.Massiv.Vector

   Similar to smapMaybe, but with the Applicative function. Similar to mapMaybe id $ mapM f arr

   Examples

3. data InsOrdHashMap k v

   openapi3	Data.HashMap.Strict.InsOrd.Compat

   HashMap which tries its best to remember insertion order of elements.

4. foldMapWithKey :: Monoid m => (k -> a -> m) -> InsOrdHashMap k a -> m

   openapi3	Data.HashMap.Strict.InsOrd.Compat

   No documentation available.

5. fromHashMap :: HashMap k v -> InsOrdHashMap k v

   openapi3	Data.HashMap.Strict.InsOrd.Compat

   No documentation available.

6. hashMap :: forall k a b p f . (Profunctor p, Functor f) => p (HashMap k a) (f (HashMap k b)) -> p (InsOrdHashMap k a) (f (InsOrdHashMap k b))

   openapi3	Data.HashMap.Strict.InsOrd.Compat

   This is a slight lie, as roundtrip doesn't preserve ordering.

7. toHashMap :: InsOrdHashMap k v -> HashMap k v

   openapi3	Data.HashMap.Strict.InsOrd.Compat

   No documentation available.

8. unorderedFoldMap :: Monoid m => (a -> m) -> InsOrdHashMap k a -> m

   openapi3	Data.HashMap.Strict.InsOrd.Compat

   More efficient than foldMap, when folding in insertion order is not important.

9. unorderedFoldMapWithKey :: Monoid m => (k -> a -> m) -> InsOrdHashMap k a -> m

   openapi3	Data.HashMap.Strict.InsOrd.Compat

   More efficient than foldMapWithKey, when folding in insertion order is not important.

10. _discriminatorMapping :: Discriminator -> InsOrdHashMap Text Text

    openapi3	Data.OpenApi

    An object to hold mappings between payload values and schema names or references.

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