I am not a performance expert, but for most of the use cases I don't really see a reasonable benefit of reusing an existing list instead of just simply cloning it (if you really need to keep the elements for some reason) and speaking of performance itself, the JVM almost always does a good job anyway.Ĭonclusion: What I would suggest is to keep it on 2 lines if you really need it or design your code in a way so that you completely avoid the need for clear/addAll. I would suggest to look at some core functional programming principles which will get you rid of the clear/addAll concerns completely :-). If you use mutable lists a lot, which are being cleared and their elements are being copied between each other, again, it seem to me as an over-use of mutable state, which makes your code difficult to reason about. If you use this design pattern very often, it seems to me that there is something quite wrong in your overall design of your application/class and here I totally agree with the "I hope there's no such method" comment by you don't use it often, I think that leaving it on 2 lines of code makes it much more readable.Ĭlearing the "listOfChecklist" makes sense only if "newlist" gets cleared at some point too, otherwise you could just keep the reference like: "listOfChecklist = newlist" and boom! You're done. If you really feel the need to merge these 2 operations into one line of code, it suggests you use this very often. In the base package, create a file named Queue.kt and add the following code defining the Queue interface.My answer will be rather philosophical, so here are my thoughts: Common operationsįirst, establish an interface for queues. In this chapter, you’ll learn all of the common operations of a queue, go over the various ways to implement a queue and look at the time complexity of each approach. Queues are handy when you need to maintain the order of your elements to process later. Queues use FIFO or first in, first out ordering, meaning the first element that was added will always be the first one removed. Whether you’re in line to buy tickets to your favorite movie or waiting for a printer to print a file, these real-life scenarios mimic the queue data structure.
12.10 Searching for an element in a heap.Section III: Trees Section 3: 8 chapters Show chapters Hide chapters
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