Traversable
A trait for data structures that can be traversed in left-to-right order with an applicative functor.
Instances
instance Traversable[Chain]Sourceinstance Traversable[DelayList]Sourceinstance Traversable[Identity]Sourceinstance Traversable[List]Sourceinstance Traversable[Map[k]]Sourceinstance Traversable[Nec]Sourceinstance Traversable[Nel]Sourceinstance Traversable[Option]Sourceinstance Traversable[RedBlackTree[k]]Sourceinstance Traversable[Vector]SourceSignatures
def traverse(f: a -> m[b] \ ef, t: t[a]): m[t[b]] \ ef + Aef[t] with Traversable[t], Applicative[m]
 SourceReturns the result of applying the applicative mapping function f to all the elements of the
data structure t.
Trait Definitions
def sequence(t: t[m[a]]): m[t[a]] \ Aef[t] with Traversable[t], Applicative[m]
 SourceReturns the result of running all the actions in the data structure t.
Module Definitions
def for(t: t[a], f: a -> m[b] \ ef): m[t[b]] \ ef + Aef[t] with Applicative[m], Traversable[t]
 SourceReturns the result of applying the applicative mapping function f to all the elements of the
data structure t.
for is traverse with it's arguments flipped.
def mapAccumLeft(f: acc -> (a -> (acc, b) \ ef), start: acc, t: t[a]): (acc, t[b]) \ ef + Aef[t] with Traversable[t]
 SourceReturns the result of applying f to the traversable structure t and the initial state acc.
The result is a pair of the final state and the updated copy of the structure.
mapAccumLeft is essentially the combination of map and foldLeft - like map it returns an updated copy
of the initial structure, like foldLeft it passes an updating accumulator through each step of the traversal.