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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

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Typically, heaps are used as priority queues of all kinds. Queues like that exist in any resource-constrained environment (and everywhere else, probably), but their purpose is to output things in an ordered fashion. By using the number of messages to determine the priority of a message notification, the heap can do the heavy lifting of this feature. Before jumping into the hard stuff, though, here are the bits containing the information:

#[derive(Clone, Debug)]
pub struct MessageNotification {
pub no_messages: u64,
pub device: IoTDevice,
}

The idea is to use the number of messages as an indicator of which device to poll first, which is why the device is required. Using this type, the heap does not require any specific node or link types to work:

pub struct MessageChecker {
pub length: usize,
heap: Vec<Box<MessageNotification>>,
}

There are two interesting points here: the underlying structure is a regular Vec<T>, which was chosen for its expansion...

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