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Learning Functional Data Structures and Algorithms

You're reading from   Learning Functional Data Structures and Algorithms Learn functional data structures and algorithms for your applications and bring their benefits to your work now

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Product type Paperback
Published in Feb 2017
Publisher Packt
ISBN-13 9781785888731
Length 318 pages
Edition 1st Edition
Languages
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Authors (2):
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Raju Kumar Mishra Raju Kumar Mishra
Author Profile Icon Raju Kumar Mishra
Raju Kumar Mishra
Atul S. Khot Atul S. Khot
Author Profile Icon Atul S. Khot
Atul S. Khot
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Toc

Table of Contents (14) Chapters Close

Preface 1. Why Functional Programming? FREE CHAPTER 2. Building Blocks 3. Lists 4. Binary Trees 5. More List Algorithms 6. Graph Algorithms 7. Random Access Lists 8. Queues 9. Streams, Laziness, and Algorithms 10. Being Lazy - Queues and Deques 11. Red-Black Trees 12. Binomial Heaps 13. Sorting

First steps


Let's define the list nodes. First, let's briefly look at a sealed trait. A trait is just an interface. It may contain methods too. See http://joelabrahamsson.com/learning-scala-part-seven-traits/ for more information.

The sealed keyword allows the compiler to do exhaustive checking. For example, here is an REPL session to see this feature in action:

scala> trait A 
defined trait A 
scala> case class B() extends A 
defined class B 
 
scala> case class C() extends A 
defined class C 
scala> def m(a: A) = a match { 
     |   case B() => println("It is a B") 
     | } 

Note the definition of the m(A) method. It just handles objects of this type: B.

What happens when we call the m(C()) method? We get a match error:

scala> m(C()) 
scala.MatchError:.. 

The sealed keyword helps in this case. Just change the definition of trait A as follows:

sealed trait A 

You also need to redefine the B and C case classes...

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