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Scala Functional Programming Patterns

You're reading from   Scala Functional Programming Patterns Grok and perform effective functional programming in Scala

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Product type Paperback
Published in Dec 2015
Publisher
ISBN-13 9781783985845
Length 298 pages
Edition 1st Edition
Languages
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Author (1):
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Atul S. Khot Atul S. Khot
Author Profile Icon Atul S. Khot
Atul S. Khot
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Table of Contents (13) Chapters Close

Preface 1. Grokking the Functional Way FREE CHAPTER 2. Singletons, Factories, and Builders 3. Recursion and Chasing your Own Tail 4. Lazy Sequences – Being Lazy, Being Good 5. Taming Multiple Inheritance with Traits 6. Currying Favors with Your Code 7. Of Visitors and Chains of Responsibilities 8. Traversals – Mapping/Filtering/Folding/Reducing 9. Higher Order Functions 10. Actors and Message Passing 11. It's a Paradigm Shift Index

Traits – Scala's rich interfaces


It would be super cool if we could write reusable code as well as get rid of the dreaded diamond. Scala's traits is the answer if we want to do this.

Here is how we could implement the preceding hierarchy in Scala:

object RichInterfaces extends App {
  trait NameIt { // 1
    def name(): String // 2
  }
  trait Walks extends NameIt { // 3
    def walk() = // 4
    println(name() + "" is having a stroll now"")
  }
  trait GoodsMover extends NameIt {
  def moveGoods() =
    println(name() + "" busy moving heavy stuff"")
  }
  class Horse extends Walks { // 5
    override def name(): String = ""Horse""
  }
  class Donkey extends Walks with GoodsMover { // 6
    override def name(): String = ""Donkey""
  }

  val horse = new Horse
  val donkey = new Donkey

  horse.walk() // 7
  donkey.walk()
  donkey.moveGoods()
}

The salient points of the preceding code are as follows:

  • In the code, we defined a NameIt trait. This is very similar to a Java interface

  • We then declared...

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