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Haskell High Performance Programming

You're reading from   Haskell High Performance Programming Write Haskell programs that are robust and fast enough to stand up to the needs of today

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Product type Paperback
Published in Sep 2016
Publisher Packt
ISBN-13 9781786464217
Length 408 pages
Edition 1st Edition
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Author (1):
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Samuli Thomasson Samuli Thomasson
Author Profile Icon Samuli Thomasson
Samuli Thomasson
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Table of Contents (16) Chapters Close

Preface 1. Identifying Bottlenecks 2. Choosing the Correct Data Structures FREE CHAPTER 3. Profile and Benchmark to Your Heart's Content 4. The Devil's in the Detail 5. Parallelize for Performance 6. I/O and Streaming 7. Concurrency and Performance 8. Tweaking the Compiler and Runtime System (GHC) 9. GHC Internals and Code Generation 10. Foreign Function Interface 11. Programming for the GPU with Accelerate 12. Scaling to the Cloud with Cloud Haskell 13. Functional Reactive Programming 14. Library Recommendations Index

Writing tests for Haskell

There are many libraries for testing Haskell code. Besides classic unit tests with HUnit and spec testing in Ruby-style with Hspec, we can verify properties using SmallCheck and QuickCheck with exhaustive and randomized test cases, respectively.

Property checks

With QuickCheck we can test properties in a randomized fashion. We don't need to generate the test cases ourselves, as QuickCheck takes care of that. Here's a quick example of testing a simple arithmetic property:

stack ghci --package QuickCheck
> import Test.QuickCheck as QC
> QC.quickCheck $ \x y -> x > 0 ==> x + y >= y

All testable properties in QuickCheck are given as instances of the Testable class. As a quick reference, the core interface looks like this:

quickCheck :: Testable prop => prop → IO ()

class Testable prop where […]

instance Testable Property
instance Testable Bool
instance (Arbitrary a, Show a, Testable prop) => Testable (a → prop)

The...

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