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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

Flat family

Say you have a list of other lists. You probably got it from different database queries, or maybe from different configuration files:

val listOfLists = listOf(listOf(1, 2),
listOf(3, 4, 5), listOf(6, 7, 8))

// [[1, 2], [3, 4, 5], [6, 7, 8]]

And you want to turn them into a single list such as the following:

[1, 2, 3, 4, 5, 6, 7, 8]

One way to merge those lists is to write some imperative code:

val results = mutableListOf<Int>()

for (l in listOfLists) {
results.addAll(l)
}

But calling flatten() will do the same for you:

listOfLists.flatten()

You can also control what happens with those results using flatMap():

println(listOfLists.flatMap {
it.asReversed()
})

Note that in this case, it refers to one of the sublists.

You can also decide to use flatMap() for type conversions:

println(listOfLists.flatMap {
it.map { it.toDouble() }
// ^ ^
// (1)...
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