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Hands-On Design Patterns with Kotlin

You're reading from   Hands-On Design Patterns with Kotlin Build scalable applications using traditional, reactive, and concurrent design patterns in Kotlin

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Product type Paperback
Published in Jun 2018
Publisher Packt
ISBN-13 9781788998017
Length 310 pages
Edition 1st Edition
Languages
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Author (1):
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Alexey Soshin Alexey Soshin
Author Profile Icon Alexey Soshin
Alexey Soshin
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with Kotlin FREE CHAPTER 2. Working with Creational Patterns 3. Understanding Structural Patterns 4. Getting Familiar with Behavioral Patterns 5. Functional Programming 6. Streaming Your Data 7. Staying Reactive 8. Threads and Coroutines 9. Designed for Concurrency 10. Idioms and Anti-Patterns 11. Reactive Microservices with Kotlin 12. Other Books You May Enjoy

Fold/Reduce

Much like forEach(), both fold() and reduce() are terminating functions. But instead of terminating with Unit, which is not useful, they terminate with a single value of the same type.

The most common example of reduce is, of course, for adding up stuff. With the list of people from the previous example, we can do the following:

println(people.reduce {p1, p2 ->
Person("Combined", "Age", p1.age + p2.age)
})

The output of the preceding code will be as follows:

Person(firstName=Combined, lastName=Age, age=64)

Well, combining a lot of people into one doesn't make much sense, unless you're a fan of some horror movies.

But with reduce, we can also compute who's the oldest or the youngest in the list:

println(people.reduce {p1, p2 ->
if (p1.age > p2.age) { p1 } else { p2 }
})

The second function we're about to...

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