假设具有带有不同签名的抽象方法的特征(请参见下文)。为了理解,我可以为每个抽象方法定义相同的签名Result[A]
。
但是,为了简化trait的子类,我想保留方法2和3的简单签名。
import cats.data.{EitherT, Reader}
trait Domain{
type Read[A] = Reader[BoundsProblem, A]
type Result[A] = EitherT[Read, String, A]
def stepSize( s: State, direction: Direction): Result[Double] //depends on an injected context, can fail
def takeStep( s: State, dir: Direction, stepSize: Double): Read[Variable] //depends on context, can't fail
def calculate(x: Variable): (Double, Gradient) //context-independent, can't fail
//doesn't compile:
def iteration(s: State, dir: Direction) = for{
tee <- stepSize(s, dir)
x <- takeStep(s, dir, tee)
r <- calculate(x)
} yield r
}
我的问题是如何在Cats中完成此操作。 (我将takeStep
提升为EitherT[Read, String, A]
的尝试没有成功。)还是我最好为每种方法都定义相同的Result[A]
?
答案 0 :(得分:1)
尝试
def iteration(s: State, dir: Direction): Result[(Double, Gradient)] = for{
tee <- stepSize(s, dir)
x <- EitherT.right(takeStep(s, dir, tee))
r = calculate(x)
} yield r
或
def iteration(s: State, dir: Direction): Result[(Double, Gradient)] = for{
tee <- stepSize(s, dir)
x <- EitherT.right(takeStep(s, dir, tee))
} yield calculate(x)