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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

Named patterns


The F# compiler performs a certain analysis when a name (identifier) occurs in the position of a pattern case. Strictly speaking, there are some opportunities for the name to be as follows:

  • A named literal (such as THREE in the earlier script)

  • A case value of a discriminated union (such as None if matching an F# option)

  • A type of an exception (such as System.ArgumentException if matching an exception type)

  • A custom name of an active pattern (which will be covered in the upcoming chapters)

If the name occurrence does not fit any of the previously listed alternatives, the name is considered a variable pattern (https://msdn.microsoft.com/en-us/library/dd547125.aspx ). It is treated similarly to the wildcard pattern, getting the value of comparison-expression parameter, which can be used in the corresponding result-expression. Sounds confusing, right? Then let's turn to a sample in order to make this matter clear.

I just took the definition of the transformA function from the matching...

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