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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 2. Singletons, Factories, and Builders FREE CHAPTER 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

Monoids


It is again pretty simple. From school math, we know that number multiplication is associative. And there is something like an identity element, 1 in case of multiplication. For example, the following expressions are equivalent:

(9*7)*2 = 9*(7*2)  

Even if we do the multiplication in any order, we get back 126. The identity element now is 1. Concatenating strings is also associative. In the following code, the identity element is "". The "Singing" + "" string is the same as "" + "Singing", and the line contains multiple strings:

((("Singing" + " In") + " The") + " Rain") 

This is the same as the one shown here:

("Singing" + " In") + (" The" + " Rain").

A data structure that obeys these rules is Monoid, and we have a natural way to use foldLeft in it, as shown in the following code:

scala> class MyMonoid {
     |   def iden = ""
     |   def f(x: String, y: String) = x.concat(y)
     | }
defined class MyMonoid
scala> val p = new MyMonoid
p: MyMonoid = MyMonoid@4e9658b5

scala...
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