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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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Toc

Table of Contents (14) Chapters Close

Preface 1. Begin Thinking Functionally FREE CHAPTER 2. Dissecting F# Origins and Design 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

Closures


As I already mentioned, the function result depends on parameters. Is this dependency exhaustive? Certainly not. The function definition exists in a lexical context and is free to use some entities from this context in the course of the transformation of arguments into the result. Let's consider the following code example (Ch3_5.fsx):

let simpleClosure = 
  let scope = "old lexical scope" 
  let enclose() = 
    sprintf "%s" scope 
  let scope = "new lexical scope" 
  sprintf "[%s][%s]" scope (enclose()) 

The preceding enclose() function does not have any parameters except unit. However, the result that's returned depends on the free value scope that was in the lexical scope at the time of the function definition. Let scope value be bound to the "old lexical scope" value. This value gets captured, "closed" by the enclose() definition. Together, the contextual part and the definition form the special entity named closure. This process is schematically presented in the following figure...

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