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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

An expression parser


We will look at an instructive example of how recursion and immutability go hand in hand. We will look at an infix expression parser.

Note

An infix notation is where the operator comes in between two operands, for example, 3+4+5-6 is the infix notation.

We will look at the iterative Java version and then at the recursive Scala version. We support only operators + and * and also provide bracketed sub-expressions.

Evaluating (1+2)*3*(2+4) expression should give us the output as 54 and evaluating (1+2)*3+4 expression should give us the output as 13. The grammar for our expression parser looks as shown in the following code. Note how each sub-expression is an expression composed of other sub-expressions, terms, and factors. In short, the grammar is recursively defined. Here is the grammar:

Expr: Term | Term + Expr
Term: Factor | Factor * Term
Factor: [0-9][0-9]+ | '(' Expr ')'

Here is a diagrammatic representation of the flow:

Figure 3.5: The expression tree

Look at the bracketed...

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