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Functional Kotlin

You're reading from   Functional Kotlin Extend your OOP skills and implement Functional techniques in Kotlin and Arrow

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Product type Paperback
Published in Feb 2018
Publisher Packt
ISBN-13 9781788476485
Length 350 pages
Edition 1st Edition
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Authors (2):
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Mario Arias Mario Arias
Author Profile Icon Mario Arias
Mario Arias
Rivu Chakraborty Rivu Chakraborty
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Rivu Chakraborty
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Toc

Table of Contents (16) Chapters Close

Preface 1. Kotlin – Data Types, Objects, and Classes FREE CHAPTER 2. Getting Started with Functional Programming 3. Immutability - It's Important 4. Functions, Function Types, and Side Effects 5. More on Functions 6. Delegates in Kotlin 7. Asynchronous Programming with Coroutines 8. Collections and Data Operations in Kotlin 9. Functional Programming and Reactive Programming 10. Functors, Applicatives, and Monads 11. Working with Streams in Kotlin 12. Getting Started with Arrow 13. Arrow Types 14. Kotlin's Quick Start 15. Other Books You May Enjoy

Partial functions


A partial function (not to be confused with partial applied function) is a function that is not defined for every possible value of its parameter type. In contrast, a total function is a function that is defined for every possible value.

Let's have a look at the following example:

fun main(args: Array<String>) {
   val upper: (String?) -> String = { s:String? -> s!!.toUpperCase()} //Partial function, it can't transform null

   listOf("one", "two", null, "four").map(upper).forEach(::println) //NPE
}

The upper function is a partial function; it can't process a null value despite the fact that null is a valid String? value. If you try to run this code, it will throw a NullPointerException (NPE).

Arrow provides an explicit type PartialFunction<T, R> for partial functions of type (T) -> R:

import arrow.core.PartialFunction

fun main(args: Array<String>) {
 val upper: (String?) -> String = { s: String? -> s!!.toUpperCase() } //Partial function, it...
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