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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

Grouping patterns


Pattern match cases I've covered until this point can be composed together in a manner that resembles the terms of a Boolean expression with OR (|) and AND (&) operators. Let me demonstrate this technique by implementing a function that accepts two string arguments that represent keys and validates that both the given values are non-empty, providing a detailed diagnostics.

You should be able to grasp at this point why I should begin the matching with the most specific case when both the keys are empty. The next less specific match is represented by two symmetric cases when either the first or the second key is empty. Here, in order to demonstrate the flexibility provided by F# patterns grouping, I combine these two patterns with Boolean OR and at the same time capture key values into the local context with a variable pattern represented by the tuple (x,y). For the most generic leftover case, I know that both keys are not empty, so just a variable pattern is sufficient...

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