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The Complete Rust Programming Reference Guide

You're reading from   The Complete Rust Programming Reference Guide Design, develop, and deploy effective software systems using the advanced constructs of Rust

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Product type Course
Published in May 2019
Publisher Packt
ISBN-13 9781838828103
Length 698 pages
Edition 1st Edition
Languages
Concepts
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Authors (3):
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Vesa Kaihlavirta Vesa Kaihlavirta
Author Profile Icon Vesa Kaihlavirta
Vesa Kaihlavirta
Rahul Sharma Rahul Sharma
Author Profile Icon Rahul Sharma
Rahul Sharma
Claus Matzinger Claus Matzinger
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Claus Matzinger
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Table of Contents (29) Chapters Close

Title Page
Copyright
About Packt
Contributors
Preface
1. Getting Started with Rust FREE CHAPTER 2. Managing Projects with Cargo 3. Tests, Documentation, and Benchmarks 4. Types, Generics, and Traits 5. Memory Management and Safety 6. Error Handling 7. Advanced Concepts 8. Concurrency 9. Metaprogramming with Macros 10. Unsafe Rust and Foreign Function Interfaces 11. Logging 12. Network Programming in Rust 13. Building Web Applications with Rust 14. Lists, Lists, and More Lists 15. Robust Trees 16. Exploring Maps and Sets 17. Collections in Rust 18. Algorithm Evaluation 19. Ordering Things 20. Finding Stuff 21. Random and Combinatorial 22. Algorithms of the Standard Library 1. Other Books You May Enjoy Index

Sorting


Sorting is an important feature in user interfaces, but also provides the predictability that's necessary for many algorithms. Whenever there is no way to use an appropriate data structure (such as a tree), a generic sorting algorithm can take care of creating that order. One important question arises regarding equal values: will they end up at the same exact spot every time? When using a stable sorting algorithm, the answer is yes.

Stable sorting

The key to stable sorting is not reordering equal elements, so in [1, 1, 2, 3, 4, 5], 1s never change their positions relative to each other. In Rust, this is actually used when sort() is called on Vec<T>.

 

 

The current (2018 edition) implementation of Vec<T> uses a merge sort variation based on Timsort. Here is the source code:

pub fn sort(&mut self)
    where T: Ord
{
    merge_sort(self, |a, b| a.lt(b));
}

The code is quite verbose, but can be split into smaller parts. The first step is to sort smaller (20 elements or less...

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