10/13/2023 0 Comments Kotlin map not null![]() ![]() In this example, we have a Set of three values: the numbers 1, 2, and 3, which are then processed using a map() function with a predicate that multiplies each one of the elements from the numbers collection by 5, and returns the resulting list of: To better explain what this means, let’s start off with a simple example: The order of results is the same as the original order of elements. ![]() It applies the given lambda function to each subsequent element and returns the list of the lambda results. The mapping transformation creates a collection from the results of a function on the elements of another collection. The transformation function of map() is defined by Kotlin’s official documentation: For this article, I will concentrate on only two of these i.e., Map and Flatten, because this set of extension functions has a special association and is forever zipped together because of the similar use cases they aim to organize. There are four main types of collection transformations as provided by the Kotlin Standard Library: Map, Zip, Associate, and Flatten. The Kotlin Standard Library has included a series of extension functions meant to add transformations into a collection, and these functions are also meant to address the growing need for good, quick, and efficient collection manipulation. Kotlin and Swift, respectively - the need to use and manipulate collections is growing exponentially with it. ![]() ![]() While both the Android and iOS operating systems are placing more and more weight on the contemporary functional programming patterns and paradigm introduced by the modern programming languages they employ - i.e. Kotlin data mapping: Comparing map(), flatMap(), and flatten() Ivan Garza Follow Ivan is an Android engineer at Mixhalo, a passionate fútbol fan, and an amateur salsa maker. ![]()
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |