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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

The hash function

In addition to providing a generic data structure, the implementation lets the user supply a custom hash function that only maps a reference to the key type to a usize return type. The choice for the return type is arbitrary, and was chosen to avoid overflows.

Since the previously implemented hash function performed better than the Adler 32 checksum algorithm, the location cache will use this. To recall, the algorithm applies XOR between a byte and its predecessor and then bit shifts to the left, based on the byte's index. Alternatively, Rust's DefaultHasher is available as well:

pub fn hashcode(bytes: &[u8]) -> u32 {
let mut a = 0_u32;
for (i, b) in bytes.iter().enumerate() {
a ^= *b as u32;
a <<= i % 4;
}
a
}

Choosing a hashing algorithm is an important decision, as we will see in the Wrap up section. But first, locations need to be added!

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