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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

Create your own

For the purpose of representing an object as a number (for use in a hash map or for comparison), most languages' built-in types come with a solid hash function for exactly that purpose, so building your own is almost never a good idea, unless a lot of time and effort goes into it. The better choice is to use what's built-in, or use a library that provides tested and proven methods.

It is important though to know how those functions are built, so let's create a trivial implementation to analyze the basic principles. The following example is one that uses the XOR operation on the previous and current byte to save their binary differences, then shifts it to the left up to four times (to fill up the u32 type):

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
}

When this function is applied to a range of repeated letter strings, how are the...

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