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F# 4.0 Design Patterns

You're reading from   F# 4.0 Design Patterns Solve complex problems with functional thinking

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Product type Paperback
Published in Nov 2016
Publisher Packt
ISBN-13 9781785884726
Length 318 pages
Edition 1st Edition
Languages
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Author (1):
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Gene Belitski Gene Belitski
Author Profile Icon Gene Belitski
Gene Belitski
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Table of Contents (14) Chapters Close

Preface 1. Begin Thinking Functionally 2. Dissecting F# Origins and Design FREE CHAPTER 3. Basic Functions 4. Basic Pattern Matching 5. Algebraic Data Types 6. Sequences - The Core of Data Processing Patterns 7. Advanced Techniques: Functions Revisited 8. Data Crunching – Data Transformation Patterns 9. More Data Crunching 10. Type Augmentation and Generic Computations 11. F# Expert Techniques 12. F# and OOP Principles/Design Patterns 13. Troubleshooting Functional Code

Matching literals


One of the simplest cases of matching patterns is a pattern represented by a literal and assuming a simple comparison-expression value equality. Literals can be of any numeric, character, or string types. They can also be cases of a .NET enumeration (each such case is inherently a symbolic name alias of the integer value) or a value decorated with the [<Literal>] attribute.

In the following script, I can easily match int literals and the int value aliased as THREE, decorated with the [<Literal>] attribute (Ch4_1.fsx):

[<Literal>] 
let THREE = 3 
 
let transformA v = 
  match v with 
  | 1 ->"1" 
  | 2 ->"2" 
  | THREE ->"3" 
 
transformA <| (1 + 2) 

This yields string "3", as expected. However, it wouldn't be possible to mix int literals with named int constant values from the following script (Ch4_1.fsx):

type Multiples = 
  | Zero = 0 
  | Five = 5 
 
let transformB ``compare me`` = 
  match ``compare me`` with 
  | Multiples.Zero ->"0" ...
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