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Hands-On Data Structures and Algorithms with Rust

You're reading from   Hands-On Data Structures and Algorithms with Rust Learn programming techniques to build effective, maintainable, and readable code in Rust 2018

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Product type Paperback
Published in Jan 2019
Publisher Packt
ISBN-13 9781788995528
Length 316 pages
Edition 1st Edition
Languages
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Author (1):
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Claus Matzinger Claus Matzinger
Author Profile Icon Claus Matzinger
Claus Matzinger
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Table of Contents (15) Chapters Close

Preface 1. Hello Rust! FREE CHAPTER 2. Cargo and Crates 3. Storing Efficiently 4. Lists, Lists, and More Lists 5. Robust Trees 6. Exploring Maps and Sets 7. Collections in Rust 8. Algorithm Evaluation 9. Ordering Things 10. Finding Stuff 11. Random and Combinatorial 12. Algorithms of the Standard Library 13. Assessments 14. Other Books You May Enjoy

More realistic IoT device management

Paths like that tend to have a huge overlap, since there are countless sensors and devices in a single location. Additionally, they are unique thanks to the hierarchical properties and are human-readable in case the sensor needs to be found. A great fit for a trie!

The basis for this trie will be a node type that stores the children, current character, and, if it's a node that concludes a full key, the IoTDevice object from earlier in this chapter. This is what this looks like in Rust:

struct Node {
pub key: char,
next: HashMap<char, Link>,
pub value: Option<IoTDevice>,
}

This time, the children is a different data structure as well: a HashMap. Maps (also called dictionaries, associative arrays) explicitly store a key alongside a value and the word "hash" hints at the method, which will be discussed in the next chapter. For now, the HashMap guarantees a single character to be associated with a Node type, leading the...

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