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Within LTS Haskell 24.3 (ghc-9.10.2)
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mapMaybe :: forall s a b . (a -> Maybe b) -> IntMap s a -> SomeIntMapWith (SupersetProof 'Int s) brefined-containers Data.IntMap.Refined Apply a function to all values in a map and collect only the Just results, returning a potentially smaller map.
mapMaybe :: forall s a b . (a -> Maybe b) -> IntMap s a -> SomeIntMapWith (SupersetProof 'Int s) brefined-containers Data.IntMap.Strict.Refined Apply a function to all values in a map and collect only the Just results, returning a potentially smaller map.
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refined-containers Data.Map.Refined Apply a function to all values in a map and collect only the Just results, returning a potentially smaller map.
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refined-containers Data.Map.Strict.Refined Apply a function to all values in a map and collect only the Just results, returning a potentially smaller map.
mapMaybe :: (a -> Maybe b) -> [a] -> [b]verset Verset The mapMaybe function is a version of map which can throw out elements. In particular, the functional argument returns something of type Maybe b. If this is Nothing, no element is added on to the result list. If it is Just b, then b is included in the result list.
Examples
Using mapMaybe f x is a shortcut for catMaybes $ map f x in most cases:>>> import GHC.Internal.Text.Read ( readMaybe ) >>> let readMaybeInt = readMaybe :: String -> Maybe Int >>> mapMaybe readMaybeInt ["1", "Foo", "3"] [1,3] >>> catMaybes $ map readMaybeInt ["1", "Foo", "3"] [1,3]
If we map the Just constructor, the entire list should be returned:>>> mapMaybe Just [1,2,3] [1,2,3]
type family
MapMaybe (a1 :: a ~> Maybe b) (a2 :: [a]) :: [b]singletons-base Data.Maybe.Singletons No documentation available.
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containers Data.IntMap.Internal Map over the entries whose keys are missing from the other map, optionally removing some. This is the most powerful SimpleWhenMissing tactic, but others are usually more efficient.
mapMaybeMissing :: (Key -> x -> Maybe y) -> SimpleWhenMissing x y
mapMaybeMissing f = traverseMaybeMissing (\k x -> pure (f k x))
but mapMaybeMissing uses fewer unnecessary Applicative operations. mapMaybeWithKey :: (Key -> a -> Maybe b) -> IntMap a -> IntMap bcontainers Data.IntMap.Internal Map keys/values and collect the Just results.
let f k _ = if k < 5 then Just ("key : " ++ (show k)) else Nothing mapMaybeWithKey f (fromList [(5,"a"), (3,"b")]) == singleton 3 "key : 3"
mapMaybeWithKey :: (Key -> a -> Maybe b) -> IntMap a -> IntMap bcontainers Data.IntMap.Lazy Map keys/values and collect the Just results.
let f k _ = if k < 5 then Just ("key : " ++ (show k)) else Nothing mapMaybeWithKey f (fromList [(5,"a"), (3,"b")]) == singleton 3 "key : 3"
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containers Data.IntMap.Merge.Lazy Map over the entries whose keys are missing from the other map, optionally removing some. This is the most powerful SimpleWhenMissing tactic, but others are usually more efficient.
mapMaybeMissing :: (Key -> x -> Maybe y) -> SimpleWhenMissing x y
mapMaybeMissing f = traverseMaybeMissing (\k x -> pure (f k x))
but mapMaybeMissing uses fewer unnecessary Applicative operations.