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Rust Essentials

You're reading from   Rust Essentials A quick guide to writing fast, safe, and concurrent systems and applications

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Product type Paperback
Published in Nov 2017
Publisher
ISBN-13 9781788390019
Length 264 pages
Edition 2nd Edition
Languages
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Author (1):
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Ivo Balbaert Ivo Balbaert
Author Profile Icon Ivo Balbaert
Ivo Balbaert
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Toc

Table of Contents (13) Chapters Close

Preface 1. Starting with Rust FREE CHAPTER 2. Using Variables and Types 3. Using Functions and Control Structures 4. Structuring Data and Matching Patterns 5. Higher Order Functions and Error-Handling 6. Using Traits and OOP in Rust 7. Ensuring Memory Safety and Pointers 8. Organizing Code and Macros 9. Concurrency - Coding for Multicore Execution 10. Programming at the Boundaries 11. Exploring the Standard Library 12. The Ecosystem of Crates

Using trait constraints


Back in the section on Generic data structures and functions in Chapter 5, Higher Order Functions and Error-Handling, we made a function sqroot to calculate the square root of a 32-bit floating point number:

// see code in Chapter 5/code/sqrt_match.rs 
Use std::f32; 
 
fn sqroot(r: f32) -> Result<f32, String> { 
if r < 0.0 {  
return Err("Number cannot be negative!".to_string());  
} 
   Ok(f32::sqrt(r)) 
} 

What if we wanted to calculate the square root of an f64 type number? It would be very unpractical to make a different version of the function for each type. A first attempt would be to just replace an f32 type with a generic type <T>:

// see code in Chapter 6/code/trait_constraints.rsfn sqroot<T>(r: T) -> Result<T, String> { 
   if r < 0.0 {  
      return Err("Number cannot be negative!".to_string());  
   } 
    Ok(T::sqrt(r)) 
} 

But Rust does not agree because it doesn't know anything about T, signaling multiple errors:

   ...
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