Book Image

The Complete Rust Programming Reference Guide

By : Rahul Sharma, Vesa Kaihlavirta, Claus Matzinger
Book Image

The Complete Rust Programming Reference Guide

By: Rahul Sharma, Vesa Kaihlavirta, Claus Matzinger

Overview of this book

Rust is a powerful language with a rare combination of safety, speed, and zero-cost abstractions. This Learning Path is filled with clear and simple explanations of its features along with real-world examples, demonstrating how you can build robust, scalable, and reliable programs. You’ll get started with an introduction to Rust data structures, algorithms, and essential language constructs. Next, you will understand how to store data using linked lists, arrays, stacks, and queues. You’ll also learn to implement sorting and searching algorithms, such as Brute Force algorithms, Greedy algorithms, Dynamic Programming, and Backtracking. As you progress, you’ll pick up on using Rust for systems programming, network programming, and the web. You’ll then move on to discover a variety of techniques, right from writing memory-safe code, to building idiomatic Rust libraries, and even advanced macros. By the end of this Learning Path, you’ll be able to implement Rust for enterprise projects, writing better tests and documentation, designing for performance, and creating idiomatic Rust code. This Learning Path includes content from the following Packt products: • Mastering Rust - Second Edition by Rahul Sharma and Vesa Kaihlavirta • Hands-On Data Structures and Algorithms with Rust by Claus Matzinger
Table of Contents (29 chapters)
Title Page
Copyright
About Packt
Contributors
Preface
Index

Search


Finding things in a collection has been discussed throughout this book, and the Rust standard library provides a few ways by default. These functions are attached to the Iterator<T> trait or slice types and work regardless of the actual type, provided that a function to compare two elements is furnished.

This can either be the Ord trait or a custom comparator function, such as the position() function on the Iterator<T>.

Linear search

The classic linear search is provided via position() (or rposition()) on the Iterator<T> trait, and it even utilizes other iterator functions that are implemented on the trait itself:

fn position<P>(&mut self, mut predicate: P) -> Option<usize> where
    Self: Sized,
    P: FnMut(Self::Item) -> bool,
{
    // The addition might panic on overflow
    self.try_fold(0, move |i, x| {
        if predicate(x) { LoopState::Break(i) }
        else { LoopState::Continue(i + 1) }
    }).break_value()
}

try_fold() is a short-circuit...