Pure Functions to Effectful Functions: Functors
Lifting a function into a context is possible using functors.
Below is the Scala program to map a function over an Option value and define a functor for the Option context:
import cats.Functor
import cats.implicits._
// Define a functor instance for Option
implicit val optionFunctor: Functor[Option] = new Functor[Option] {
def map[A, B](fa: Option[A])(f: A => B): Option[B] = fa.map(f)
}
// Test the functor
val maybeInt: Option[Int] = Some(5)
val doubled: Option[Int] = Functor[Option].map(maybeInt)(_ * 2)
println(doubled)
Output:
Pure Functions to Effectful Functions
What is Lifting in Scala?
Scala is a programming language that is expressive and effective. It permits builders to produce code that is both elegant and succinct. Lifting is one such belonging that is vital to useful programming paradigms. Functions may fit easily on values interior containers, such as Option, List, Future, and many others., thanks to lifting, which gets rid of the need to manage the structure of the container manually. This article will explain the idea of lifting in Scala, spotlight its importance, and provide utilization examples.
Table of Content
- Partial Functions to Functions
- Methods To Functions
- Pure Functions to Effectful Functions: Functors
- Monad to Monad Transformers
- Conclusion