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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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Toc

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

Going wrong

Other than classes, Rust comes without another well-known companion: null. In the absence of pointers and with a very different memory management model, there is no typical null pointer/reference.

Instead, the language works with Option and Result types that let developers model success or failure. In fact, there is no exception system either, so any failed execution of a function should be indicated in the return type. Only in rare cases when immediate termination is required does the language provide a macro for panicking: panic!().

Option<T> and Result<T, E> both encapsulate one (Option<T>) or two (Result<T, E>) values that can be returned to communicate an error or whether something was found or not. For example, a find() function could return Option<T>, whereas something like read_file() would typically have a Result<T, E> return type to communicate the content or errors:

fn find(needle: u16, haystack: Vec<u16>) -> Option<usize> {
// find the needle in the haystack
}

fn read_file(path: &str) -> Result<String, io::Error> {
// open the path as a file and read it
}

Handling those return values is often done with match or if let clauses in order to handle the cases of success or failure:

match find(2, vec![1,3,4,5]) {
Some(_) => println!("Found!"),
None => println!("Not found :(")
}

// another way
if let Some(result) = find(2, vec![1,2,3,4]) {
println!("Found!")
}

// similarly for results!
match read_file("/tmp/not/a/file") {
Ok(content) => println!(content),
Err(error) => println!("Oh no!")
}

This is due to Option<T> and Result<T, E> both being enumerations that have generic type parameters; they can assume any type in their variants. Matching on their variants provides access to their inner values and types to allow a branch of the code to be executed and handle the case accordingly. Not only does this eliminate the need for constructs such as try/catch with multiple—sometimes cast—exception arms, it makes failure part of the normal workflow that needs to be taken care of.

You have been reading a chapter from
Hands-On Data Structures and Algorithms with Rust
Published in: Jan 2019
Publisher: Packt
ISBN-13: 9781788995528
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