Introduction

Rust is a new language that already has good textbooks. But sometimes its textbooks are difficult because they are for native English speakers. Many companies and people now learn Rust, and they could learn faster with a book that has easy English. This textbook is for these companies and people to learn Rust with simple English.

Writing Easy Rust

It is now early August, and Easy Rust is almost 300 pages long. I am still writing it so there will be much more content. I plan to finish writing the main content by around August 15. You can contact me here or on LinkedIn if you have any questions. I am a Canadian who lives in Korea, and as I write Easy Rust I think of how to make it easy for companies here to start using it. I hope that other countries that don't use English as a first language can use it too.

Part 1 - Rust in your browser
Part 2 - Rust on your computer

Part 1 - Rust in your browser

This book has two parts. In Part 1, you will learn as much Rust as you can just in your browser. You can actually learn almost everything you need to know without installing Rust. That's why Part 1 is much longer than Part 1. Then at the end is Part 2, which is Rust on your computer. That's where you will learn everything else you need to know that you can only do outside of a browser. Some examples of that are working with files or taking user input, graphics, and personal settings. The book makes Part 1 really long so that by the time you finish it you will like Rust enough that you will install it. And if you don't, no problem - Part 1 teaches you so much that you won't mind.

Rust Playground

Maybe you don't want to install Rust yet, and that's okay. You can go to https://play.rust-lang.org/ and start writing Rust without leaving your browser. You can write your code there and click Run to see the results. You can run most of the samples in this book inside the Playground in your browser. Only near the end is when you will see samples that go beyond what you can do in the Playground (like opening files).

Here are some tips when using the Rust Playground:

Run your code with Run
Change Debug to Release if you want your code to be faster. Debug: compiles faster, runs slower, contains debug information. Release: compiles slower, runs much faster, removes debug information.
Click on Share to get a url link. You can use that to share your code if you want help.
Tools: Rustfmt will format your code nicely.
Tools: Clippy will give you extra information about how to make your code better.
Config: here you can change your theme to dark mode so you can work at night, and many other configurations.

If you want to install Rust, go here https://www.rust-lang.org/tools/install and follow the instructions. Usually you will use rustup to install and update Rust.

🚧 and ⚠️

Sometimes the code examples in the book don't work. If an example doesn't work, it will have a 🚧 or a ⚠️ in it. 🚧 is like "under construction": it means that the code is not complete. Rust needs a fn main() (a main function) to run, but sometimes we just want to look at small pieces of code so it won't have a fn main(). And some code examples show you a problem that we will fix. Those ones might have a fn main() but generate an error, and so they will have a ⚠️.

Comments

To write comments in Rust you usually use //:

fn main() { // Rust programs start with fn main()
            // You put the code inside a block. It starts with { and ends with }
    let some_number = 100; // We can write as much as we want here and the compiler won't look at it
}

When you do this, the compiler won't look at anything to the right of the //.

There is another kind of comment that you write with /* to start and */ to end. This one is useful to write in the middle of your code.

fn main() {
    let some_number/*: i16*/ = 100;
}

To the compiler, both of these look the same.

The /* */ form is also useful for very long comments over more than one line. In this example you can see that you need to write // for every line. But if you type /*, it won't stop until you finish it with */.

fn main() {
    let some_number = 100; /* Let me tell you
    a little about this number.
    It's 100, which is my favourite number.
    It's called some_number but actually I think that... */

    let some_number = 100; // Let me tell you
    // a little about this number.
    // It's 100, which is my favourite number.
    // It's called some_number but actually I think that...
}

Later on when you create your own code and want other people to read it, you will use /// for the comments. When Rust sees /// it can automatically put the comments into documents to explain the code.

Types

Primitive types

Rust has simple types that are called primitive types. We will start with integers and char (characters). Integers are whole numbers with no decimal point. There are two types of integers:

Signed integers,
Unsigned integers.

Signs means + (plus sign) and - (minus sign), so signed integers can be positive or negative (e.g. +8, -8). But unsigned integers can only be positive, because they do not have a sign.

The signed integers are: i8, i16, i32, i64, i128, and isize. The unsigned integers are: u8, u16, u32, u64, u128, and usize.

The number after the i or the u means the number of bits for the number, so numbers with more bits can be larger. 8 bits = one byte, so i8 is one byte, i64 is 8 bytes, and so on. Number types with larger sizes can hold larger numbers. For example, a u8 can hold up to 255, but a u16 can hold up to 65535. And a u128 can hold up to 340282366920938463463374607431768211455.

So what is isize and usize? This means the number of bits on your type of computer. (This is called the architecture of your computer.) So isize and usize on a 32-bit computer is like i32 and u32, and isize and usize on a 64-bit computer is like i64 and u64.

There are many reasons for the different types of integers. One reason is computer performance: a smaller number of bytes is faster to process. But here are some other uses:

Characters in Rust are called char. Every char has a number: the letter A is number 65, while the character 友 ("friend" in Chinese) is number 21451. The list of numbers is called "Unicode". Unicode uses smaller numbers for characters that are used more, like A through Z, or digits 0 through 9, or space.

fn main() {
    let first_letter = 'A';
    let space = ' '; // A space inside ' ' is also a char
    let other_language_char = 'Ꮔ'; // Thanks to Unicode, other languages like Cherokee display just fine too
    let cat_face = '😺'; // Emojis are characters too
}

The characters that are used most get numbers that are less than 256, and they can fit into a u8. This means that Rust can safely cast a u8 into a char, using as. (Cast u8 as char means "pretend u8 is a char")

Casting with as is useful because Rust is very strict. It always needs to know the type, and won't let you use two different types together even if they are both integers. For example, this will not work:

fn main() { // main() is where Rust programs start to run. Code goes inside {} (curly brackets)

    let my_number = 100; // We didn't write a type of integer,
                         // so Rust chooses i32. Rust always
                         // chooses i32 for integers if you don't
                         // tell it to use a different type
			 
    println!("{}", my_number as char); // ⚠️
}

Here is the reason:

error[E0604]: only `u8` can be cast as `char`, not `i32`
 --> src\main.rs:3:20
  |
3 |     println!("{}", my_number as char);
  |                    ^^^^^^^^^^^^^^^^^

Fortunately we can easily fix this with as. We can't make i32 a char, but we can make a i32 a u8. And then we can make u8 a char. So in one line we use as to make my_number a u8, and once more to make it a char. Now it will compile:

fn main() {
    let my_number = 100;
    println!("{}", my_number as u8 as char);
}

Here is another reason for the different sizes: usize is the size that Rust uses for indexing. (Indexing means "which item is first", "which item is second", etc.) usize is the best size for indexing because:

An index can't be negative, so it needs to be a number with a u
It should be big, because sometimes you need to index many things, but
It can't be a u64 because 32-bit computers can't use that.

So Rust uses usize so that your computer can get the biggest number for indexing that it can read.

Let's learn some more about char. You saw that a char is always one character, and uses '' instead of "".

All chars are 4 bytes. They are 4 bytes because some characters in a string are more than one byte. Basic letters that have always been on computers are 1 byte, later characters are 2 bytes, and others are 3 and 4. A char is 4 bytes so that it can fit any of these.

For example:

fn main() {
    println!("{}", "a".len()); // .len() gives the size in bytes
    println!("{}", "ß".len());
    println!("{}", "国".len());
    println!("{}", "𓅱".len());
}

This prints:

You can see that a is one byte, the German ß is two, the Japanese 国 is three, and the ancient Egyptian 𓅱 is 4 bytes.

fn main() {
    let slice = "Hello!";
    println!("Slice is {} bytes.", slice.len());
    let slice2 = "안녕!"; // Korean for "hi"
    println!("Slice2 is {} bytes.", slice2.len());
}

slice is six characters in length and six bytes, but slice2 is three characters in length and seven bytes. char needs to fit any character in any language, so it is 4 bytes long.

If .len() gives the size in bytes, what about the size in characters? We will learn about these methods later, but you can just remember that .chars().count() will do it.

fn main() {
    let slice = "Hello!";
    println!("Slice is {} characters.", slice.chars().count());
    let slice2 = "안녕!";
    println!("Slice2 is {} characters.", slice2.chars().count());
}

This prints:

Slice is 6 characters.
Slice2 is 3 characters.

Type inference

Type inference means that if you don't tell the compiler the type, but it can decide by itself, it will decide. The compiler always needs to know the type of the variables, but you don’t always need to tell it. For example, for let my_number = 8, my_number will be an i32. That is because the compiler chooses i32 for integers if you don't tell it. But if you say let my_number: u8 = 8, it will make my_number a u8, because you told it u8.

So usually the compiler can guess. But sometimes you need to tell it, for two reasons:

You are doing something very complex and the compiler doesn't know the type you want.
You want a different type (for example, you want an i128, not an i32).

To specify a type, add a colon after the variable name.

fn main() {
    let small_number: u8 = 10;
}

For numbers, you can say the type after the number. You don't need a space - just type it right after the number.

fn main() {
    let small_number = 10u8; // 10u8 = 10 of type u8
}

You can also add _ if you want to make the number easy to read.

fn main() {
    let small_number = 10_u8; // This is easier to read
    let big_number = 100_000_000_i32; // 100 million is easy to read with _
}

The _ does not change the number. It is only to make it easy for you to read. And it doesn't matter how many _ you use:

fn main() {
    let number = 0________u8;
    let number2 = 1___6______2____4______i32;
    println!("{}, {}", number, number2);
}

This prints 0, 1624.

Floats

Floats are numbers with decimal points. 5.5 is a float, and 6 is an integer. 5.0 is also a float, and even 5. is a float.

fn main() {
    let my_float = 5.; // Rust sees . and knows that it is a float
}

But the types are not called float, they are called f32 and f64. It is the same as integers: the number after f shows the number of bits. If you don't write the type, Rust will choose f64.

Of course, only floats of the same type can be used together. So you can't add an f32 to an f64.

fn main() {
    let my_float: f64 = 5.0; // This is an f64
    let my_other_float: f32 = 8.5; // This is an f32

    let third_float = my_float + my_other_float; // ⚠️
}

When you try to run this, Rust will say:

error[E0308]: mismatched types
 --> src\main.rs:5:34
  |
5 |     let third_float = my_float + my_other_float;
  |                                  ^^^^^^^^^^^^^^ expected `f64`, found `f32`

The compiler writes "expected (type), found (type)" when you use the wrong type. It reads your code like this:

fn main() {
    let my_float: f64 = 5.0; // The compiler sees an f64
    let my_other_float: f32 = 8.5; // The compiler sees an f32. It is a different type.
    let third_float = my_float + // The compiler sees a new variable. It must be an f64 plus another f64. Now it expects an f64...
    let third_float = my_float + my_other_float;  // ⚠️ it found an f32. It can't add them.
}

So when you see "expected (type), found (type)", you must find why the compiler expected a different type.

Of course, with simple numbers it is easy to fix. You can cast the f32 to an f64 with as:

fn main() {
    let my_float: f64 = 5.0;
    let my_other_float: f32 = 8.5;

    let third_float = my_float + my_other_float as f64; // my_other_float as f64 = use my_other_float like an f64
}

Or even more simply, remove the type declarations. Rust will choose types that can add together.

fn main() {
    let my_float = 5.0; // Rust will choose f64
    let my_other_float = 8.5; // Here again it will choose f64

    let third_float = my_float + my_other_float;
}

The Rust compiler is smart and will not choose f64 if you need f32:

fn main() {
    let my_float: f32 = 5.0;
    let my_other_float = 8.5; // Rust will choose f32,

    let third_float = my_float + my_other_float; // because it knows you need to add it to an f32
}

Printing 'hello, world!'

A new Rust program always starts with this:

fn main() {
    println!("Hello, world!");
}

fn means function,
main is the function that starts the program,
() means that we didn't give the function anything to start.

{} is a code block.

println! is a macro that prints to the console. A macro is like a function that writes code for you. Macros have a ! after them. We will learn about making macros later. For now, remember that ! means that it is a macro.

To learn about the ;, we will create another function. First, in main we will print a number 8:

fn main() {
    println!("Hello, world number {}!", 8);
}

The {} in println! means "put the variable inside here". This prints Hello, world number 8!.

We can put more in:

fn main() {
    println!("Hello, worlds number {} and {}!", 8, 9);
}

This prints Hello, worlds number 8 and 9!.

Now let's create the function.

fn main() {
    println!("Hello, world number {}!", number());
}

fn number() -> i32 {
    8
}

This also prints Hello, world number 8!. When Rust looks at number() it sees a function. This function:

Does not take anything (because it has ())
Returns an i32. The -> (called a "skinny arrow") shows what the function returns.

Inside the function is just 8. Because there is no ;, this is the value it returns. If it had a ;, it would not return anything. Rust will not compile this if it has a ;, because the return is i32 and ; returns (), not i32:

fn main() {
    println!("Hello, world number {}", number());
}

fn number() -> i32 {
    8;  // ⚠️
}

5 | fn number() -> i32 {
  |    ------      ^^^ expected `i32`, found `()`
  |    |
  |    implicitly returns `()` as its body has no tail or `return` expression
6 |     8;
  |      - help: consider removing this semicolon

This means "you told me that number() returns an i32, but you added a ; so it doesn't return anything". So the compiler suggests removing the semicolon.

You can also write return 8; but in Rust it is normal to just remove the ; to return.

When you want to give variables to a function, put them inside the (). You have to give them a name and write the type.

fn main() {
    multiply(8, 9); // We can give the numbers directly
    let some_number = 10; // Or we can declare two variables
    let some_other_number = 2;
    multiply(some_number, some_other_number); // and put them in the function
}

fn multiply(number_one: i32, number_two: i32) { // Two i32s will enter the function. We will call them number_one and number_two.
    let result = number_one * number_two;
    println!("{} times {} is {}", number_one, number_two, result);
}

Of course, we can also return an i32:

fn main() {
    let multiply_result = multiply(8, 9); // We used multiply() to print and to give the result to multiply_result
}

fn multiply(number_one: i32, number_two: i32) -> i32 {
    let result = number_one * number_two;
    println!("{} times {} is {}", number_one, number_two, result);
    result // this is the i32 that we return
}

Declaring variables and code blocks

Use let to declare a variable (declare a variable = tell Rust to make a variable).

fn main() {
    let my_number = 8;
    println!("Hello, number {}", my_number);
}

Variables start and end inside a code block {}. In this example, my_number ends before we call println!, because it is inside its own code block.

fn main() {
    {
        let my_number = 8; // my_number starts here
                           // my_number ends here!
    }

    println!("Hello, number {}", my_number); // ⚠️ there is no my_number and
                                             // println!() can't find it
}

You can use a code block to return a value:

fn main() {
    let my_number = {
    let second_number = 8;
        second_number + 9 // No semicolon, so the code block returns 8 + 9.
                          // It works just like a function
    };

    println!("My number is: {}", my_number);
}

If you add a semicolon inside the block, it will return () (nothing):

fn main() {
    let my_number = {
    let second_number = 8; // declare second_number,
        second_number + 9; // add 9 to second_number
                           // but we didn't return it!
                           // second_number dies now
    };

    println!("My number is: {:?}", my_number); // my_number is ()
}

So why did we write {:?} and not {}? We will talk about that now.

Display and debug

Simple variables in Rust can be printed with {} inside println!(). But some variables can't, and you need to debug print. Debug print is printing for the programmer, because it usually shows more information. Debug sometimes doesn't look pretty, because it has extra information to help you.

How do you know if you need {:?} and not {}? The compiler will tell you. For example:

fn main() {
    let doesnt_print = ();
    println!("This will not print: {}", doesnt_print); // ⚠️
}

When we run this, the compiler says:

error[E0277]: `()` doesn't implement `std::fmt::Display`
 --> src\main.rs:3:41
  |
3 |     println!("This will not print: {}", doesnt_print);
  |                                         ^^^^^^^^^^^^ `()` cannot be formatted with the default formatter
  |
  = help: the trait `std::fmt::Display` is not implemented for `()`
  = note: in format strings you may be able to use `{:?}` (or {:#?} for pretty-print) instead
  = note: required by `std::fmt::Display::fmt`
  = note: this error originates in a macro (in Nightly builds, run with -Z macro-backtrace for more info)

This is a lot of information. But the important part is: you may be able to use {:?} (or {:#?} for pretty-print) instead. This means that you can try {:?}, and also {:#?} ({:#?} prints with different formatting).

So Display means printing with {}, and Debug means printing with {:?}.

One more thing: you can also use print!() without ln if you don't want a new line.

fn main() {
    print!("This will not print a new line");
    println!(" so this will be on the same line");
}

This prints This will not print a new line so this will be on the same line.

Smallest and largest numbers

If you want to see the smallest and biggest numbers, you can use MIN and MAX.

fn main() {
    println!("The smallest i8 is {} and the biggest i8 is {}.", std::i8::MIN, std::i8::MAX);
    println!("The smallest u8 is {} and the biggest u8 is {}.", std::u8::MIN, std::u8::MAX);
    println!("The smallest i16 is {} and the biggest i16 is {}.", std::i16::MIN, std::i16::MAX);
    println!("The smallest u16 is {} and the biggest u16 is {}.", std::u16::MIN, std::u16::MAX);
    println!("The smallest i32 is {} and the biggest i32 is {}.", std::i32::MIN, std::i32::MAX);
    println!("The smallest u32 is {} and the biggest u32 is {}.", std::u32::MIN, std::u32::MAX);
    println!("The smallest i64 is {} and the biggest i64 is {}.", std::i64::MIN, std::i64::MAX);
    println!("The smallest u64 is {} and the biggest u64 is {}.", std::u64::MIN, std::u64::MAX);
    println!("The smallest i128 is {} and the biggest i128 is {}.", std::i128::MIN, std::i128::MAX);
    println!("The smallest u128 is {} and the biggest u128 is {}.", std::u128::MIN, std::u128::MAX);

}

This will print:

The smallest i8 is -128 and the biggest i8 is 127.
The smallest u8 is 0 and the biggest u8 is 255.
The smallest i16 is -32768 and the biggest i16 is 32767.
The smallest u16 is 0 and the biggest u16 is 65535.
The smallest i32 is -2147483648 and the biggest i32 is 2147483647.
The smallest u32 is 0 and the biggest u32 is 4294967295.
The smallest i64 is -9223372036854775808 and the biggest i64 is 9223372036854775807.
The smallest u64 is 0 and the biggest u64 is 18446744073709551615.
The smallest i128 is -170141183460469231731687303715884105728 and the biggest i128 is 170141183460469231731687303715884105727.
The smallest u128 is 0 and the biggest u128 is 340282366920938463463374607431768211455.

Mutability (changing)

When you declare a variable with let, it is immutable (cannot be changed).

This will not work:

fn main() {
    let my_number = 8;
    my_number = 10; // ⚠️
}

The compiler says: error[E0384]: cannot assign twice to immutable variable my_number. This is because variables are immutable if you only write let.

To change a variable, add mut:

fn main() {
    let mut my_number = 8;
    my_number = 10;
}

Now there is no problem.

However, you cannot change the type even with mut. This will not work:

fn main() {
    let mut my_variable = 8;
    my_variable = "Hello, world!"; // ⚠️
}

You will see the same "expected" message from the compiler: expected integer, found &str. &str is a string type that we will learn soon.

Shadowing

Shadowing means using let to declare a new variable with the same name as another variable. It looks like mutability, but it is completely different. Shadowing looks like this:

fn main() {
    let my_number = 8; // This is an i32
    println!("{}", my_number); // prints 8
    let my_number = 9.2; // This is an f64. It is not my_number - it is completely different!
    println!("{}", my_number) // Prints 9.2
}

Here we say that we "shadowed" my_number with a new "let binding".

So is the first my_number destroyed? No, but when we call my_number we now get my_number the f64. And because they are in the same scope block, we can't see the first my_number anymore.

But if they are in different blocks, we can see both. For example:

So when you shadow a variable, you don't destroy it. You block it.

fn main() {
    let my_number = 8; // This is an i32
    println!("{}", my_number); // prints 8
    {
        let my_number = 9.2; // This is an f64. It is not my_number - it is completely different!
        println!("{}", my_number) // Prints 9.2
                                  // But the shadowed my_number only lives until here.
                                  // The first my_number is still alive!
    }
    println!("{}", my_number); // prints 8
}

So what is the advantage of shadowing? Shadowing is good when you need to change a variable a lot.

fn main() {
    let final_number = {
        let y = 10;
        let x = 9; // x starts at 9
        let x = times_two(x); // shadow with new x: 18
        let x = x + y; // shadow with new x: 28
        x // return x: final_number is now the value of x
    };
    println!("The number is now: {}", final_number)
}

fn times_two(number: i32) -> i32 {
    number * 2
}

Without shadowing you would have to think of different names, even though you don't care about x:

fn main() {
    // Pretending we are using Rust without shadowing
    let final_number = {
        let y = 10;
        let x = 9; // x starts at 9
        let x_twice = times_two(x); // second name for x
        let x_twice_and_y = x_twice + y; // third name for x
        x_twice_and_y // too bad we didn't have shadowing - we could have just used x
    };
    println!("The number is now: {}", final_number)
}

fn times_two(number: i32) -> i32 {
    number * 2
}

The stack, the heap, and pointers

The stack, the heap, and pointers are very important in Rust.

The stack and the heap are two places to keep memory. The important differences are:

The stack is very fast, but the heap is not so fast.
The stack needs to know the size of a variable at compile time. So simple variables like i32 go on the stack, because we know their exact size.
Some types don't know the size at compile time. But the stack needs to know the exact size. What do you do? You put the data in the heap, because the heap can have any size of data. And to find it, a pointer goes on the stack, because we always know the size of a pointer.

A pointer is like a table of contents in a book.

MY BOOK

Chapter                        Page
Chapter 1: My life              1
Chapter 2: My cat               15
Chapter 3: My job               23
Chapter 4: My family            30
Chapter 5: Future plans         43

So this is like five pointers. Where is the chapter "My life"? It's on page 1 (it points to page 1). Where is the chapter "My job?" It's on page 23.

The pointer you usually see in Rust is called a reference. This is the important part to know: a reference points to the memory of another value. A reference means you borrow the value, but you don't own it. In Rust, references have a &. So:

let my_variable = 8 makes a regular variable, but
let my_reference = &my_variable makes a reference.

This means that my_reference is only looking at the data of my_variable. my_variable still owns its data.

More about printing

Here are some more things to know about printing.

Adding \n will make a new line, and \t will make a tab:

fn main() {
    // Note: this is print!, not println!
    print!("\t Start with a tab\nand move to a new line");
}

This prints:

         Start with a tab
and move to a new line

Inside "" you can write over many lines with no problem, but be careful with the spacing:

fn main() {
    // Note: After the first line you have to start on the far left.
    // If you write directly under println!, it will add the spaces
    println!("Inside quotes
you can write over
many lines
and it will print just fine.");

    println!("If you forget to write
    on the left side, the spaces
    will be added when you print.");
}

This prints:

Inside quotes
you can write over
many lines
and it will print just fine.
If you forget to write
    on the left side, the spaces 
    will be added when you print.

If you want to print characters like \n (called "escape characters"), you can add an extra \:

fn main() {
    println!("Here are two escape characters: \\n and \\t");
}

This prints:

Here are two escape characters: \n and \t

Sometimes you have many " and escape characters inside a string, and want Rust to ignore everything. To do this, you can add r# to the beginning and # to the end. If you need to print # then you can start with r## and end with ##. And if you need more than one, you can add one more # on each side.

Here are four examples:

fn main() {

    let my_string = "'Ice to see you,' he said."; // single quotes
    let quote_string = r#""Ice to see you," he said."#; // double quotes
    let hashtag_string = r##"The hashtag #IceToSeeYou had become very popular."##; // Has one # so we need at least ##
    let many_hashtags = r####""You don't have to type ### to use a hashtag. You can just use #.""####; // Has three ### so we need at least ####

    println!("{}\n{}\n{}\n{}\n", my_string, quote_string, hashtag_string, many_hashtags);

}

This will print:

'Ice to see you,' he said.
"Ice to see you," he said.
The hashtag #IceToSeeYou had become very popular.
"You don't have to type ### to use a hashtag. You can just use #."

r# has another use: with it you can use a keyword as a variable name.

fn main() {
    let r#let = 6; // The variable's name is let
    let mut r#mut = 10; // This variable's name is mut
    
}

r# also has this function because older versions of Rust didn't have all the same keywords that Rust has now. So with r# it's easier to avoid mistakes with variable names that were not keywords before. You probably won't need it, but if you really need to use a keyword for a variable then you can use r#.

If you want to print the bytes of a &str or a char, you can just write b before the string. This works for all ASCII characters. These are all the ASCII characters:

☺☻♥♦♣♠♫☼►◄↕‼¶§▬↨↑↓→∟↔▲▼123456789:;<=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\]^_`abcdefghijklmnopqrstuvwxyz{|}~

So when you print this:

fn main() {
    println!("{:?}", b"This will look like numbers");
}

Here is the result:

[84, 104, 105, 115, 32, 119, 105, 108, 108, 32, 108, 111, 111, 107, 32, 108, 105, 107, 101, 32, 110, 117, 109, 98, 101, 114, 115]

For a char this is called a byte, and for a &str it's called a byte string.

You can also put b and r together if you need to:

fn main() {
    println!("{:?}", br##"I like to write "#"."##);
}

That will print [73, 32, 108, 105, 107, 101, 32, 116, 111, 32, 119, 114, 105, 116, 101, 32, 34, 35, 34, 46].

There is also a Unicode escape that lets you print any Unicode character inside a string: \u{}. A hexadecimal number goes inside the {} to print it. Here is a short example of how to get the Unicode number, and how to print it again.

fn main() {
    println!("{:X}", '행' as u32); // Cast char as u32 to get the hexadecimal value
    println!("{:X}", 'H' as u32);
    println!("{:X}", '居' as u32);
    println!("{:X}", 'い' as u32);

    println!("\u{D589}, \u{48}, \u{5C45}, \u{3044}"); // Try printing them with unicode escape \u
}

We know that println! can print with {} (for Display) and {:?} (for Debug), plus {:#?} for pretty printing. But there are many other ways to print.

For example, if you have a reference, you can use {:p} to print the pointer address. Pointer address means the location in your computer's memory.

fn main() {
    let number = 9;
    let number_ref = &number;
    println!("{:p}", number_ref);
}

This prints 0xe2bc0ffcfc or some other address. It might be different every time, depending on where your computer stores it.

Or you can print binary, hexadecimal and octal:

fn main() {
    let number = 555;
    println!("Binary: {:b}, hexadecimal: {:x}, octal: {:o}", number, number, number);
}

Or you can add numbers to change the order:

fn main() {
    let father_name = "Vlad";
    let son_name = "Adrian Fahrenheit";
    let family_name = "Țepeș";
    println!("This is {1} {2}, son of {0} {2}.", father_name, son_name, family_name);
}

father_name is in position 0, son_name is in position 1, and family_name is in position 2. So it prints This is Adrian Fahrenheit Țepeș, son of Vlad Țepeș.

Maybe you have a very complex string to print and want to add names to the {}. You can do that:

fn main() {
    println!("{city1} is in {country} and {city2} is also in {country},
but {city3} is not in {country}.", city1 = "Seoul", city2 = "Busan", city3 = "Tokyo", country = "Korea");
}

Very complex printing is not used too much in Rust. But here is how to do it.

{variable:padding alignment minimum.maximum}

Do you want a variable name? (Then add a :)
Do you want a padding character?
What alignment (left / middle / right) or the padding?
Do you want a minimum length? (just write a number)
Do you want a maximum length? (write a number with a . in front)

For example, if I want to write "a" with five ㅎ characters on the left and five ㅎ characters on the right:

fn main() {
    let letter = "a";
    println!("{:ㅎ^11}", letter);
}

This prints ㅎㅎㅎㅎㅎaㅎㅎㅎㅎㅎ. Let's look at 1) to 5) for this.

Do you want a variable name? {:ㅎ^11} No variable name: it comes before :.
Do you want a padding character? {:ㅎ^11} Yes. ㅎ comes after the : and has a ^. < means padding with the character on the left, > means on the right, and ^ means in the middle.
Do you want a minimum length? {:ㅎ^11} Yes: there is an 11 after.
Do you want a maximum length? {:ㅎ^11} No: there is no number with a . before.

Here is an example of many types of formatting.

fn main() {
    let title = "TODAY'S NEWS";
    println!("{:-^30}", title); // no variable name, pad with -, put in centre, 30 characters long
    let bar = "|";
    println!("{: <15}{: >15}", bar, bar); // no variable name, pad with space, 15 characters each, one to the left, one to the right
    let a = "SEOUL";
    let b = "TOKYO";
    println!("{city1:-<15}{city2:->15}", city1 = a, city2 = b); // variable names city1 and city2, pad with -, one to the left, one to the right
}

It prints:

---------TODAY'S NEWS---------
|                            |
SEOUL--------------------TOKYO

Strings

Rust has two main types of strings: String and &str. What is the difference?

&str is a simple string. When you write let my_variable = "Hello, world!", you create a &str. A &str is very fast.
String is a more complicated string. It is a bit slower, and has more functions. A String is a pointer, with data on the heap.

Both &str and String are UTF-8. For example, you can write:

fn main() {
    let name = "서태지"; // This is a Korean name. No problem, because a &str is UTF-8.
    let other_name = String::from("Adrian Fahrenheit Țepeș"); // Ț and ș are no problem in UTF-8.
}

You can even write emojis thanks to UTF-8.

fn main() {
    let name = "😂";
    println!("My name is actually {}", name);
}

So why do we need a & in front of str, but not for String?

str is a dynamically sized type (dynamically sized = the size can be different). For example, the names "서태지" and "Adrian Fahrenheit Țepeș" are not the same size on the stack:

fn main() {

    println!("A String is always {:?} bytes. It is Sized.", std::mem::size_of::<String>()); // std::mem::size_of::<Type>() gives you the size in bytes of a type
    println!("And an i8 is always {:?} bytes. It is Sized.", std::mem::size_of::<i8>());
    println!("And an f64 is always {:?} bytes. It is Sized.", std::mem::size_of::<f64>());
    println!("But a &str? It can be anything. '서태지' is {:?} bytes. It is not Sized.", std::mem::size_of_val("서태지")); // std::mem::size_of_val() gives you the size in bytes of a variable
    println!("And 'Adrian Fahrenheit Țepeș' is {:?} bytes. It is not Sized.", std::mem::size_of_val("Adrian Fahrenheit Țepeș"));
}

That is why we need a &, because & makes a pointer, and Rust knows the size of the pointer. So the pointer goes on the stack. If we wrote str, Rust wouldn't know what to do because it doesn't know the size.

There are many ways to make a String. Here are some:

String::from("This is the string text"); This a method for String that takes text and creates a String.
"This is the string text".to_string(). This is a method for &str that makes it a String.
The format! macro. This is like println! except it creates a String instead of printing. So you can do this:

fn main() {
    let my_name = "Billybrobby";
    let my_country = "USA";
    let my_home = "Korea";

    let together = format!(
        "I am {} and I come from {} but I live in {}.",
        my_name, my_country, my_home
    );
}

Now we have a string named together but did not print it yet.

One other way to make a String is called .into() but it is a bit different. Some types can easily convert to and from another type using From and .into(). And if you have From, then you also have .into(). From is clearer because you already know the types: you know that String::from("Some str") is a String from a &str. But with .into(), sometimes the compiler doesn't know:

fn main() {
    let my_string = "Try to make this a String".into(); // ⚠️
}

Rust doesn't know what type you want, because many types can be made from a &str.

error[E0282]: type annotations needed
 --> src\main.rs:2:9
  |
2 |     let my_string = "Try to make this a String".into();
  |         ^^^^^^^^^ consider giving `my_string` a type

So you can do this:

fn main() {
    let my_string: String = "Try to make this a String".into();
}

And now you get a String.

const and static

There are two types that don't use let to declare: const and static. Also, you need to write the type for them. These are for variables that don't change (const means constant). The difference is that:

const is a value that does not change,
static is a value that does not change and has a fixed memory location.

So they are almost the same. Rust programmers almost always use const.

You write them with ALL CAPITAL LETTERS, and usually outside of the main function.

Two examples are: const NUMBER_OF_MONTHS: u32 = 12; and const SEASONS: [&str; 4] = ["Spring", "Summer", "Fall", "Winter"];

More on references

References are very important in Rust. Rust uses references to make sure that all memory access is safe. We know that we use & to create a reference:

fn main() {
    let country = String::from("Austria");
    let ref_one = &country;
    let ref_two = &country;

    println!("{}", ref_one);
}

country is a String. We created two references to country. They have the type &String: a "reference to a String". We could create one hundred references to country and it would be no problem.

But this is a problem:

fn main() {
    let country = return_str();
}

fn return_str() -> &str {
    let country = String::from("Austria");
    let country_ref = &country;
    country_ref // ⚠️
}

The function return_str() creates a String, then it creates a reference to the string. Then it tries to return the reference. But country only lives inside the function. So after the function is over, country_ref is referring to memory that is already gone. Rust prevents us from making a mistake with memory.

Mutable references

If you want to use a reference to change data, you can use a mutable reference. For a mutable reference, you write &mut.

fn main() {
    let mut my_number = 8; // don't forget to write mut here!
    let num_ref = &mut my_number;
}

So what are the two types? my_number is an i32, and num_ref is &mut i32 (a "mutable reference to an i32").

So let's use it to add 10 to my_number. But you can't write num_ref += 10, because num_ref is not the i32 value. To reach the place where the value is, we use *. * means "I don't want the reference, I want the value behind the reference". In other words, one * erases one &.

fn main() {
    let mut my_number = 8;
    let num_ref = &mut my_number;
    *num_ref += 10; // Use * to change the i32 value.
    println!("{}", my_number);
}

Because using & is called "referencing", using * is called "dereferencing".

Rust has rules for mutable and immutable references.

Rule 1: If you have only immutable references, you can have as many as you want. Rule 2: If you have a mutable references, you can only have one. You can't have an immutable reference and a mutable reference.

This is because mutable references can change the data. You could get problems if you change the data when other references are reading it.

A good way to understand is to think of a Powerpoint presentation.

Situation one is about only one mutable reference.

Situation one: An employee is writing a Powerpoint presentation. He wants his manager to help him. The employee gives his login information to his manager, and asks him to help by making edits. Now the manager has a "mutable reference" to the employee's presentation. This is fine, because nobody else is looking at the presentation.

Situation two is about only immutable references.

Situation two: The employee is giving the presentation to 100 people. All 100 people can now see the employee's data. This is fine, because nobody can change the data.

Situation three is the problem situation.

Situation three: The Employee gives his manager his login information. Then the employee went to give the presentation to 100 people. This is not fine, because the manager can log in and do anything. Maybe his manager will log into the computer and type an email to his mother? Now the 100 people have to watch the manager write an email to his mother instead of the presentation. That's not what they expected to see.

Here is an example of a mutable borrow with an immutable borrow:

fn main() {
    let mut number = 10;
    let number_ref = &number;
    let number_change = &mut number;
    *number_change += 10;
    println!("{}", number_ref); // ⚠️
}

The compiler prints a helpful message to show us the problem.

error[E0502]: cannot borrow `number` as mutable because it is also borrowed as immutable
 --> src\main.rs:4:25
  |
3 |     let number_ref = &number;
  |                      ------- immutable borrow occurs here
4 |     let number_change = &mut number;
  |                         ^^^^^^^^^^^ mutable borrow occurs here
5 |     *number_change += 10;
6 |     println!("{}", number_ref);
  |                    ---------- immutable borrow later used here

However, this code will work. Why?

fn main() {
    let mut number = 10;
    let number_change = &mut number; // create a mutable reference
    *number_change += 10; // use mutable reference to add 10
    let number_ref = &number; // create an immutable reference
    println!("{}", number_ref); // print the immutable reference
}

The compiler knows that we used number_change to change number, but didn't use it again. So here there is no problem. We are not using immutable and mutable references together.

Shadowing again

Remember when we said that shadowing doesn't destroy a value but blocks it? Now we can use references to see this.

fn main() {
    let country = String::from("Austria");
    let country_ref = &country;
    let country = 8;
    println!("{}, {}", country_ref, country);
}

Does this print Austria, 8 or 8, 8? It prints Austria, 8. First we declare a String called country. Then we create a reference country_ref to this string. Then we shadow country with 8, which is an i32. But the first country was not destroyed, so country_ref still says "Austria", not "8".

Giving references to functions

References are very useful for functions. The rule in Rust on variables is: a variable can only have one owner.

This code will not work:

fn main() {
    let country = String::from("Austria");
    print_country(country); // We print "Austria"
    print_country(country); // ⚠️ That was fun, let's do it again!
}

fn print_country(country_name: String) {
    println!("{}", country_name);
}

It does not work because country is destroyed. Here's how:

Step 1: We create the String country. country is the owner.
Step 2: We give country to print_country. print_country doesn't have an ->, so it doesn't return anything. After print_country finishes, our String is now dead.
Step 3: We try to give country to print_country, but we already did that. We don't have country to give anymore.

We can fix this by adding &.

fn main() {
    let country = String::from("Austria");
    print_country(&country); // We print "Austria"
    print_country(&country); // That was fun, let's do it again!
}

fn print_country(country_name: &String) {
    println!("{}", country_name);
}

Now print_country() is a function that takes a reference to a String: a &String. Also, we give it a reference to country by writing &country. This says "you can look at it, but I will keep it".

Here is an example of a function that uses a mutable variable.

fn main() {
    let mut country = String::from("Austria");
    add_hungary(&mut country);
}

fn add_hungary(country_name: &mut String) {
    country_name.push_str("-Hungary"); // push_str() adds a &str to a String
    println!("Now it says: {}", country_name);
}

So to conclude:

fn function_name(variable: String) takes a String and owns it. If it doesn't return anything, then the variable dies after the function is done.
fn function_name(variable: &String) borrows a String and can look at it
fn function_name(variable: &mut String) borrows a String and can change it

Here is an example that looks like a mutable reference, but it is different.

fn main() {
    let country = String::from("Austria"); // country is not mutable
    adds_hungary(country);
}

fn adds_hungary(mut country: String) { // but adds_hungary takes the string and it is mutable!
    country.push_str("-Hungary");
    println!("{}", country);
}

How is this possible? It is because mut country is not a reference: adds_hungary owns country now. (Remember, it takes String and not &String). adds_hungary is the full owner, so it can take country as mutable.

Copy types

Some types in Rust are very simple. They are called copy types. These simple types are all on the stack, and the compiler knows their size. That means that they are very easy to copy, so the compiler always copies when you send it to a function. So you don't need to worry about ownership.

These simple types include: integers, floats, booleans (true and false), and char.

How do you know if a type implements copy? (implements = can use) You can check the documentation. For example, here is the documentation for char:

https://doc.rust-lang.org/std/primitive.char.html

On the left you can see Trait Implementations. You can see for example Copy, Debug, and Display. So you know that a char:

is copied when you send it to a function (Copy)
can use {} to print (Display)
can use {:?} to print (Debug)

fn main() {
    let my_number = 8;
    prints_number(my_number); // Prints 8. prints_number gets a copy of my_number
    prints_number(my_number); // Prints 8 again.
                              // No problem, because my_number is copy type!
}

fn prints_number(number: i32) { // No return with ->
                             // If number was not copy type, it would take it
                             // and we couldn't use it again
    println!("{}", number);
}

But if you look at the documentation for String, it is not copy type.

https://doc.rust-lang.org/std/string/struct.String.html

On the left in Trait Implementations you can look in alphabetical order. A, B, C... there is no Copy in C. But there is Clone. Clone is similar to Copy, but needs more memory.

In this example, prints_country() prints the country name, a String. We want to print it two times, but we can't:

fn main() {
    let country = String::from("Kiribati");
    prints_country(country);
    prints_country(country); // ⚠️
}

fn prints_country(country_name: String) {
    println!("{}", country_name);
}

But now we understand the message.

error[E0382]: use of moved value: `country`
 --> src\main.rs:4:20
  |
2 |     let country = String::from("Kiribati");
  |         ------- move occurs because `country` has type `std::string::String`, which does not implement the `Copy` trait
3 |     prints_country(country);
  |                    ------- value moved here
4 |     prints_country(country);
  |                    ^^^^^^^ value used here after move

The important part is which does not implement the Copy trait. But in the documentation we saw that String implements the Clone trait. So we can add .clone(). This creates a clone, and we send the clone to the function. country is still alive, so we can use it.

fn main() {
    let country = String::from("Kiribati");
    prints_country(country.clone()); // make a clone and give it to the function
    prints_country(country);
}

fn prints_country(country_name: String) {
    println!("{}", country_name);
}

Of course, if the String is very large, .clone() can use a lot of memory. For example, one String can be a whole book, and every time we call .clone() it will copy the book. So using & for a reference is faster, if you can.

fn main() {
    let mut country = String::from("Kiribati"); // country is mutable
    let country_ref = &country; // country_ref needs a reference
    changes_country(&mut country); // changes_country needs a &mut ref
    println!("{}", country_ref); // ⚠️ immutable and mutable borrow together
}

fn prints_country(country_name: String) {
    println!("{}", country_name);
}

fn changes_country(country_name: &mut String) {
    country_name.push_str(" is a country");
    println!("{}", country_name);
}

Maybe we can change the order, but we can also just .clone().

fn main() {
    let mut country = String::from("Kiribati"); // country is mutable
    let country_ref = &country; // country_ref needs a reference
    changes_country(&mut country.clone()); // give changes_country a clone instead
    println!("{}", country_ref); // now the code works
}

fn prints_country(country_name: String) {
    println!("{}", country_name);
}

fn changes_country(country_name: &mut String) {
    country_name.push_str(" is a country");
    println!("{}", country_name);
}

Variables without values

A variable without a value is called an "uninitialized" variable. Uninitialized means "hasn't started yet". They are simple, just let and the name:

fn main() {
    let my_variable; // ⚠️
}

But you can't use it yet. Your program won't compile if it tries to use it.

But sometimes they can be useful. A good example is when:

You have a code block and inside that is the value for your variable, and
The variable needs to live outside of the code block.

fn loop_then_return(mut counter: i32) -> i32 {
    loop {
        counter += 1;
        if counter % 50 == 0 {
            break;
        }
    }
    counter
}

fn main() {
    let my_number;

    {
        // Pretend we need to have this code block
        let number = {
            // Pretend there is code here to make a number
            7
        };

        my_number = loop_then_return(number);
    }

    println!("{}", my_number);
}

It is important to know that my_number was declared in the main() function, so it lives until the end. But it gets its value from inside a loop. However, that value lives as long as my_number, because my_number has the value.

It helps to imagine if you simplify the code. loop_then_return(number) gives the result 50, so let's delete it and write 50 instead. Also, now we don't need number so we will delete it too. Now it looks like this:

fn main() {
    let my_number;
    {
        my_number = 50;
    }

    println!("{}", my_number);
}

So it's almost like saying let my_number = { 50 };.

Also note that my_number is not mut. We didn't give it a value until we gave it 50, so it never changed its value.

Collection types

Here are some types for making a collection.

Arrays

An array is data inside square brackets: []. Arrays:

must not change their size,
must only contain the same type.

They are very fast, however.

The type of an array is: [type; number]. For example, the type of ["One", "Two"] is [&str; 2]. This means that even these two arrays have different types:

fn main() {
    let array1 = ["One", "Two"];
    let array2 = ["One", "Two", "Five"];
}

A good tip: to know the type of a variable, you can "ask" the compiler by giving it bad instructions. For example:

fn main() {
    let seasons = ["Spring", "Summer", "Autumn", "Winter"];
    let seasons2 = ["Spring", "Summer", "Fall", "Autumn", "Winter"];
    let () = seasons; // ⚠️
    let () = seasons2; // ⚠️ as well
}

The compiler says "seasons isn't type () and seasons2 isn't type () either!" as you can see:

error[E0308]: mismatched types
 --> src\main.rs:4:9
  |
4 |     let () = seasons;
  |         ^^   ------- this expression has type `[&str; 4]`
  |         |
  |         expected array `[&str; 4]`, found `()`

error[E0308]: mismatched types
 --> src\main.rs:5:9
  |
5 |     let () = seasons2;
  |         ^^   -------- this expression has type `[&str; 5]`
  |         |
  |         expected array `[&str; 5]`, found `()`

If you want an array with all the same value, you can declare it like this:

fn main() {
    let my_array = ["a"; 20];
    println!("{:?}", my_array);
}

This prints ["a", "a", "a", "a", "a", "a", "a", "a", "a", "a", "a", "a", "a", "a", "a", "a", "a", "a", "a", "a"].

This method is used a lot to create buffers. For example, let mut buffer = [0; 640] creates an array of 640 zeroes. Then we can change zero to other numbers in order to add data.

You can index (get) entries in an array with []. The first entry is [0], the second is [1], and so on.

fn main() {
    let my_numbers = [0, 10, -20];
    println!("{}", my_numbers[1]); // prints 10
}

You can get a slice (a piece) of an array. First you need a &, because the compiler doesn't know the size. Then you can use .. to show the range.

For example, let's use this array: [1, 2, 3, 4, 5, 6, 7, 8, 9, 10].

fn main() {
    let array_of_ten = [1, 2, 3, 4, 5, 6, 7, 8, 9, 10];

    let three_to_five = &array_of_ten[2..5];
    let start_at_two = &array_of_ten[1..];
    let end_at_five = &array_of_ten[..5];
    let everything = &array_of_ten[..];

    println!("Three to five: {:?},
start at two: {:?}
end at five: {:?}
everything: {:?}", three_to_five, start_at_two, end_at_five, everything);
}

Remember that:

Index numbers start at 0 (not 1)
Index ranges are exclusive (they do not include the last number)

So [0..2] means the first index and the second index (0 and 1). Or you can call it the "zeroth and first" index. It doesn't have the third item, which is index 2.

You can also have an inclusive range, which means it includes the last number too. To do this, add = to write ..= instead of ... So instead of [0..2] you can write [0..=2] if you want the first, second, and third item.

Vectors

In the same way that we have &str and String, we have arrays and vectors. Arrays are faster with less functionality, and vectors are slower with more functionality. The type is written Vec.

There are two main ways to declare a vector. One is like with String using new:

fn main() {
    let name1 = String::from("Windy");
    let name2 = String::from("Gomesy");

    let mut my_vec = Vec::new();
    // If we run the program now, the compiler will give an error.
    // It doesn't know the type of vec.

    my_vec.push(name1); // Now it knows: it's Vec<String>
    my_vec.push(name2);
}

Or you can just declare the type.

fn main() {
    let mut my_vec: Vec<String> = Vec::new(); // The compiler knows the type
                                              // so there is no error.
}

You can see that items in vectors must have the same type.

Another easy way to create a vector is with the vec! macro. It looks like an array declaration, but has vec! in front of it.

fn main() {
    let mut my_vec = vec![8, 10, 10];
}

The type is Vec<i32>. You call it a "vec of i32s". And a Vec<String> is a "vec of strings". And a Vec<Vec<String>> is a "vec of a vec of strings".

You can slice a vector too, just like in an array.

fn main() {
    let vec_of_ten = vec![1, 2, 3, 4, 5, 6, 7, 8, 9, 10];
    // Everything is the same except we added vec!
    let three_to_five = &vec_of_ten[2..5];
    let start_at_two = &vec_of_ten[1..];
    let end_at_five = &vec_of_ten[..5];
    let everything = &vec_of_ten[..];

    println!("Three to five: {:?},
start at two: {:?}
end at five: {:?}
everything: {:?}", three_to_five, start_at_two, end_at_five, everything);
}

Because a vec is slower than an array, we can use some methods to make it faster. A vec has a capacity, which means the space given to the vector. If you add more to a vector than its capacity, it will make its capacity double and copy the items into the new space. This is called reallocation.

For example:

fn main() {
    let mut num_vec = Vec::new();
    num_vec.push('a'); // add one character
    println!("{}", num_vec.capacity()); // prints 1
    num_vec.push('a'); // add one more
    println!("{}", num_vec.capacity()); // prints 2
    num_vec.push('a'); // add one more
    println!("{}", num_vec.capacity()); // prints 4. It has three elements, but capacity is 4
    num_vec.push('a'); // add one more
    num_vec.push('a'); // add one more // Now we have 5 elements
    println!("{}", num_vec.capacity()); // Now capacity is 8
}

So this vector has three reallocations: 1 to 2, 2 to 4, and 4 to 8. We can make it faster:

fn main() {
    let mut num_vec = Vec::with_capacity(8); // Give it capacity 8
    num_vec.push('a'); // add one character
    println!("{}", num_vec.capacity()); // prints 8
    num_vec.push('a'); // add one more
    println!("{}", num_vec.capacity()); // prints 8
    num_vec.push('a'); // add one more
    println!("{}", num_vec.capacity()); // prints 8.
    num_vec.push('a'); // add one more
    num_vec.push('a'); // add one more // Now we have 5 elements
    println!("{}", num_vec.capacity()); // Still 8
}

This vector has 0 reallocations, which is better. So if you think you know how many elements you need, you can use Vec::with_capacity() to make it faster.

You remember that you can use .into() to make a &str into a String. You can also use it to make an array into a Vec. You have to tell .into() that you want a Vec, but you don't have to choose the type of Vec. If you don't want to choose, you can write Vec<_>.

fn main() {
    let my_vec: Vec<u8> = [1, 2, 3].into();
    let my_vec2: Vec<_> = [9, 0, 10].into(); // Vec<_> means "choose the Vec type for me"
                                             // Rust will choose Vec<i32>
}

Tuples

Tuples in Rust use (). We have seen many empty tuples already. fn do_something() {} has an empty tuple. Also, when you don't return anything in a function, you actually return an empty tuple.

fn main() {

}

fn just_prints() {
    println!("I am printing"); // Adding ; means we return an empty tuple
}

But tuples can hold many things, and can hold different types too. To access the items inside of a tuple, don't use [], use ..

fn main() {
    let mut new_vec = Vec::new();
    new_vec.push('a');
    let random_tuple = ("Here is a name", 8, new_vec, 'b', [8, 9, 10], 7.7);
    println!(
        "Inside the tuple is: First item: {:?}
Second item: {:?}
Third item: {:?}
Fourth item: {:?}
Fifth item: {:?}
Sixth item: {:?}",
        random_tuple.0,
        random_tuple.1,
        random_tuple.2,
        random_tuple.3,
        random_tuple.4,
        random_tuple.5,
    )
}

You can use a tuple to create multiple variables.

fn main() {
    let str_vec = vec!["one", "two", "three"];

    let (a, b, c) = (str_vec[0], str_vec[1], str_vec[2]);
    println!("{:?}", b);
}

There are many more collection types, and many more ways to use arrays, vecs, and tuples. We will learn more about them. But first we will learn control flow.

Control flow

Control flow means telling your code what to do in different situations. The simplest control flow is if.

fn main() {
    let my_number = 5;
    if my_number == 7 {
        println!("It's seven");
    }
}

Please note that we wrote if my_number == 7 and not if (my_number == 7). You don't need () with if in Rust.

else if and else gives you more control:

fn main() {
    let my_number = 5;
    if my_number == 7 {
        println!("It's seven");
    } else if my_number == 6 {
        println!("It's six")
    } else {
        println!("It's a different number")
    }
}

You can add more conditions with && (and) and || (or).

Too much if, else, and else if can be difficult to read. You can use match instead. But you must match for every possible result. For example, this will not work:

fn main() {
    let my_number: u8 = 5;
    match my_number {
        0 => println!("it's zero"),
        1 => println!("it's one"),
        2 => println!("it's two"),
        // ⚠️
    }
}

The compiler says:

error[E0004]: non-exhaustive patterns: `3u8..=std::u8::MAX` not covered
 --> src\main.rs:3:11
  |
3 |     match my_number {
  |           ^^^^^^^^^ pattern `3u8..=std::u8::MAX` not covered

This means "you told me about 0 to 2, but u8s can go up to 255. What about 3? What about 4? What about 5?" And so on. So you can add _ which means "anything else".

fn main() {
    let my_number: u8 = 5;
    match my_number {
        0 => println!("it's zero"),
        1 => println!("it's one"),
        2 => println!("it's two"),
        _ => println!("It's some other number"),
    }
}

Remember this for match:

You write match and then make a {} code block.
Write the pattern on the left and use a => fat arrow to say what to do when it matches.
Each line is called an "arm".
Put a comma between the arms (not a semicolon).

You can declare a value with a match:

fn main() {
    let my_number = 5;
    let second_number = match my_number {
        0 => 0,
        5 => 10,
        _ => 2,
    };
}

Do you see the semicolon at the end? That is because, after the match is over, we actually told the compiler this: let second_number = 10;

You can match on more complicated things too. You use a tuple to do it.

fn main() {
    let sky = "cloudy";
    let temperature = "warm";

    match (sky, temperature) {
        ("cloudy", "cold") => println!("It's dark and unpleasant today"),
        ("clear", "warm") => println!("It's a nice day"),
        ("cloudy", "warm") => println!("It's dark but not bad"),
        _ => println!("Not sure what the weather is."),
    }
}

You can even put if inside of match.

fn main() {
    let children = 5;
    let married = true;

    match (children, married) {
        (children, married) if married == false => println!("Not married with {} children", children),
        (children, married) if children == 0 && married == true => println!("Married but no children"),
        _ => println!("Married? {}. Number of children: {}.", married, children),
    }
}

You can use _ as many times as you want in a match. In this match on colours, we have three but only check one at a time.

fn match_colours(rbg: (i32, i32, i32)) {
    match rbg {
        (r, _, _) if r < 10 => println!("Not much red"),
        (_, b, _) if b < 10 => println!("Not much blue"),
        (_, _, g) if g < 10 => println!("Not much green"),
        _ => println!("Each colour has at least 10"),
    }
}

fn main() {
    let first = (200, 0, 0);
    let second = (50, 50, 50);
    let third = (200, 50, 0);

    match_colours(first);
    match_colours(second);
    match_colours(third);

}

This prints:

Not much blue
Each colour has at least 10
Not much green

This also shows how match statements work, because in the first example it only printed Not much blue. But first also has not much green. A match statement always stops when it finds a match, and doesn't check the rest. This is a good example of code that compiles well but is not the code you want. You can make a really big match statement to fix it, but it is probably better to use a for loop. We will talk about loops soon.

A match has to return the same type. So you can't do this:

fn main() {
    let my_number = 10;
    let some_variable = match my_number {
        10 => 8,
        _ => "Not ten", // ⚠️
    };
}

The compiler tells you that:

error[E0308]: `match` arms have incompatible types
  --> src\main.rs:17:14
   |
15 |       let some_variable = match my_number {
   |  _________________________-
16 | |         10 => 8,
   | |               - this is found to be of type `{integer}`
17 | |         _ => "Not ten",
   | |              ^^^^^^^^^ expected integer, found `&str`
18 | |     };
   | |_____- `match` arms have incompatible types

This will also not work, for the same reason:

fn main() {
    let some_variable = if my_number == 10 { 8 } else { "something else "}; // ⚠️
}

But this works, because you have a different let statement.

fn main() {
    let my_number = 10;

    if my_number == 10 {
        let some_variable = 8;
    } else {
        let some_variable = "Something else";
    }
}

You can also use @ to use the value of a match expression when you want to. In this example we match an i32 input in a function. If it's 4 or 13 we want to use that number in a println! statement. Otherwise, we don't need to use it.

fn match_number(input: i32) {
    match input {
    number @ 4 => println!("{} is an unlucky number in China (sounds close to 死)!", number),
    number @ 13 => println!("{} is unlucky in North America, lucky in Italy! In bocca al lupo!", number),
    _ => println!("Looks like a normal number"),
    }
}

fn main() {
    match_number(50);
    match_number(13);
    match_number(4);
}

Structs

With structs, you can create your own type. Structs are created with the keyword struct. The name of a struct should be in UpperCamelCase (capital letter for each word, no spaces).

There are three types of structs. One is a "unit struct". Unit means "doesn't have anything".

struct FileDirectory;
fn main() { }

The next is a tuple struct, or an unnamed struct. It is "unnamed" because you only need to write the types, not the variable names. Tuple structs are good when you need a simple struct and don't need to remember names.

struct Colour(u8, u8, u8);

fn main() {
    let my_colour = Colour(50, 0, 50); // Make a colour out of RGB (red, green, blue)
    println!("The second part of the colour is: {}", my_colour.1);
}

The third type is the named struct. This is probably the most common struct. In this struct you declare variable names and types inside a {} code block.

struct Colour(u8, u8, u8); // Declare the same Colour tuple struct

struct SizeAndColour {
    size: u32,
    colour: Colour, // And we put it in our new named struct
}

fn main() {
    let my_colour = Colour(50, 0, 50);

    let size_and_colour = SizeAndColour {
        size: 150,
        colour: my_colour
    };
}

In a named struct, you separate variables by commas. For the last variable you can add a comma or not - it's up to you. SizeAndColour had a comma after colour:

struct Colour(u8, u8, u8); // Declare the same Colour tuple struct

struct SizeAndColour {
    size: u32,
    colour: Colour, // And we put it in our new named struct
}

fn main() { }

but you don't need it. But it can be a good idea to always put a comma, because sometimes you will change the order of the variables:

struct Colour(u8, u8, u8); // Declare the same Colour tuple struct

struct SizeAndColour {
    size: u32,
    colour: Colour // No comma here
}

fn main() { }

Then we decide to change the order...

struct SizeAndColour {
    colour: Colour // ⚠️ Whoops! Now this doesn't have a comma.
    size: u32,
}

fn main() { }

But it is not very important either way so you can choose whether to use a comma or not.

Let's create a Country struct to give an example. The Country struct has the fields population, capital, and leader_name.

struct Country {
    population: u32,
    capital: String,
    leader_name: String
}

fn main() {
    let population = 500_000;
    let capital = String::from("Elist");
    let leader_name = String::from("Batu Khasikov");

    let kalmykia = Country {
        population: population,
        capital: capital,
        leader_name: leader_name,
    };
}

Did you notice that we wrote the same thing twice? Actually, you don't need to do that. If the field name and variable name are the same, you don't have to write it twice.

struct Country {
    population: u32,
    capital: String,
    leader_name: String
}

fn main() {
    let population = 500_000;
    let capital = String::from("Elist");
    let leader_name = String::from("Batu Khasikov");

    let kalmykia = Country {
        population,
        capital,
        leader_name,
    };
}

Enums

An enum is short for enumerations. They look similar to a struct, but are different. Here is the difference:

Use a struct when you want one thing AND another thing.
Use an enum when you want one thing OR another thing.

So structs are for many things together, while enums are for many choices together.

To declare an enum, write enum and use a code block with the options, separated by commas. Just like a struct, the last part can have a comma or not. We will create an enum called ThingsInTheSky:

enum ThingsInTheSky {
    Sun,
    Stars,
}

fn main() { }

This is an enum because you can either see the sun, or the stars: you have to choose one. These are called variants.

// create the enum with two choices
enum ThingsInTheSky {
    Sun,
    Stars,
}

// With this function we can use an i32 to create ThingsInTheSky.
fn create_skystate(time: i32) -> ThingsInTheSky {
    match time {
        6..=18 => ThingsInTheSky::Sun, // Between 6 and 18 hours we can see the sun
        _ => ThingsInTheSky::Stars, // Otherwise, we can see stars
    }
}

// With this function we can match against the two choices in ThingsInTheSky.
fn check_skystate(state: &ThingsInTheSky) {
    match state {
        ThingsInTheSky::Sun => println!("I can see the sun!"),
        ThingsInTheSky::Stars => println!("I can see the stars!")
    }
}

fn main() {
    let time = 8; // it's 8 o'clock
    let skystate = create_skystate(time); // create_skystate returns a ThingsInTheSky
    check_skystate(&skystate); // Give it a reference so it can read the variable skystate
}

You can add data to an enum too.

enum ThingsInTheSky {
    Sun(String), // Now each variant has a string
    Stars(String),
}

fn create_skystate(time: i32) -> ThingsInTheSky {
    match time {
        6..=18 => ThingsInTheSky::Sun(String::from("I can see the sun!")), // Write the strings here
        _ => ThingsInTheSky::Stars(String::from("I can see the stars!")),
    }
}

fn check_skystate(state: &ThingsInTheSky) {
    match state {
        ThingsInTheSky::Sun(description) => println!("{}", description), // Give the string the name description so we can use it
        ThingsInTheSky::Stars(n) => println!("{}", n), // Or you can name it n. Or anything else - it doesn't matter
    }
}

fn main() {
    let time = 8; // it's 8 o'clock
    let skystate = create_skystate(time); // create_skystate returns a ThingsInTheSky
    check_skystate(&skystate); // Give it a reference so it can read the variable skystate
}

Parts of an enum can also be turned into an integer. Rust gives each arm of an enum a number that starts with 0. You can do things with it if your enum doesn't have any other data in it.

enum Season {
    Spring, // If this was Spring(String) or something it wouldn't work
    Summer,
    Autumn,
    Winter,
}

fn main() {
    use Season::*;
    let four_seasons = vec![Spring, Summer, Autumn, Winter];
    for season in four_seasons {
        println!("{}", season as u32);
    }
}

This prints:

You can give it a different number though if you want - Rust doesn't care and can use it in the same way. Just add an = and your number to an arm that you want to have a number. You don't have to give all the arms a number. But if you don't, Rust will just add 1 from the arm before to give it a number.

enum Star {
    BrownDwarf = 10,
    RedDwarf = 50,
    YellowStar = 100,
    RedGiant = 1000,
    DeadStar,
}

fn main() {
    use Star::*;
    let starvec = vec![BrownDwarf, RedDwarf, YellowStar, RedGiant];
    for star in starvec {
        match star as u32 {
            size if size <= 80 => println!("Not the biggest star."),
            size if size >= 80 => println!("This is a good-sized star."),
            _ => println!("That star is pretty big!"),
        }
    }
    println!("What about DeadStar? It's the number {}.", DeadStar);
}

This prints:

Not the biggest star.
Not the biggest star.
This is a good-sized star.
This is a good-sized star.
What about DeadStar? It's the number 1001.

DeadStar would have been number 4, but now it's 1001.

Enums to use multiple types

You know that items in a Vec, array, etc. all need the same type (only tuples are different). But you can actually use an enum to put different types in. Imagine we want to have a Vec with u32s or i32s. Of course, you can make a Vec<(u32, i32)> (a vec with (u32, i32) tuples) but we only want one. So here you can use an enum. Here is a simple example:

enum Number {
    U32(u32),
    I32(i32),
}

fn main() { }

So there are two variants: the U32 variant with a u32 inside, and the I32 variant with i32 inside. U32 and I32 are just names we made. They could have been UThirtyTwo or IThirtyTwo or anything else.

Now, if we put them into a Vec we just have a Vec<Number>, and the compiler is happy. Because it's an enum, you have to pick one. We will use the .is_positive() method to pick. If it's true then we will choose U32, and if it's false then we will choose I32.

Now the code looks like this:

enum Number {
    U32(u32),
    I32(i32),
}

impl Number {
    fn new(number: i32) -> Number { // input number is i32
        match number.is_positive() {
            true => Number::U32(number as u32), // change it to u32 if it's positive
            false => Number::I32(number), // otherwise just give the number because it's already i32
        }
    }
}

fn main() {
    let my_vec = vec![Number::new(-800), Number::new(8)];

    for item in my_vec {
        match item {
            Number::U32(number) => println!("It's a u32 with the value {}", number),
            Number::I32(number) => println!("It's a i32 with the value {}", number),
        }
    }

}

This prints what we wanted to see:

It's a i32 with the value -800
It's a u32 with the value 8

References and the dot operator

We learned that when you have a reference, you need to use * to get to the value. A reference is a different type, so this won't work:

fn main() {
    let my_number = 9;
    let reference = &my_number;

    println!("{}", my_number == reference); // ⚠️
}

The compiler prints:

error[E0277]: can't compare `{integer}` with `&{integer}`
 --> src\main.rs:5:30
  |
5 |     println!("{}", my_number == reference);
  |                              ^^ no implementation for `{integer} == &{integer}`

So we change line 5 to println!("{}", my_number == *reference); and now it prints true. This is called dereferencing.

But when you use a method, Rust will dereference for you. The . in a function is called the dot operator.

First, let's make a struct with one u8 field. Then we will make a reference to it and try to compare. It will not work:

struct Item {
    number: u8,
}

fn main() {
    let item = Item {
        number: 8,
    };

    let reference_number = &item.number; // reference number type is &u8

    println!("{}", reference_number == 8); // ⚠️ &u8 and u8 cannot be compared
}

To make it work, we need to dereference: println!("{}", *reference_number == 8);.

But with the dot operator, we don't need *. For example:

struct Item {
    number: u8,
}

fn main() {
    let item = Item {
        number: 8,
    };

    let reference_item = &item;

    println!("{}", reference_item.number == 8); // we don't need to write *reference_item.number
}

Now let's create a method for Item that compares number to another number. We don't need to use * anywhere:

struct Item {
    number: u8,
}

impl Item {
    fn compare_number(&self, other_number: u8) { // takes a reference to self
        println!("Are {} and {} equal? {}", self.number, other_number, self.number == other_number);
            // We don't need to write *self.number
    }
}

fn main() {
    let item = Item {
        number: 8,
    };

    let reference_item = &item; // This is type &Item
    let reference_item_two = &reference_item; // This is type &&Item

    item.compare_number(8); // the method works
    reference_item.compare_number(8); // it works here too
    reference_item_two.compare_number(8); // and here

}

So just remember: when you use the . operator, you don't need to worry about *.

Destructuring

You can get the values from a struct or enum by using let backwards. This is called destructuring, and gives you the values separately. First a simple example:

struct Person { // make a simple struct for a person
    name: String,
    real_name: String,
    height: u8,
    happiness: bool
}

fn main() {
    let papa_doc = Person { // create variable papa_doc
        name: "Papa Doc".to_string(),
        real_name: "Clarence".to_string(),
        height: 170,
        happiness: false
    };

    let Person { // destructure papa_doc
        name: a,
        real_name: b,
        height: c,
        happiness: d
    } = papa_doc;

    println!("Our four values are: {}, {}, {}, and {}.", d, c, b, a);

}

You can see that it's backwards. First we say let papa_doc = Person { fields } to create the struct. Then we say let Person {fields} = papa_doc to destructure it.

You don't have to write name: a - you can just write name. But here we write name = a because we want to use the variable name a.

Now a bigger example. In this example we have a City struct. We give it a new function to make it. Then we have a process_city_values function to do things with the values. In the function we just create a Vec, but you can imagine that we can do much more after we destructure it.

struct City {
    name: String,
    name_before: String,
    population: u32,
    date_founded: u32,
}

impl City {
    fn new(name: String, name_before: String, population: u32, date_founded: u32) -> Self {
        Self {
            name,
            name_before,
            population,
            date_founded,
        }
    }
}

fn main() {
    let tallinn = City::new("Tallinn".to_string(), "Reval".to_string(), 426_538, 1219);
    process_city_values(&tallinn);
}

fn process_city_values(city: &City) {
    let City {
        name,
        name_before,
        population,
        date_founded,
    } = city;
        // now we have the values to use separately
    let two_names = vec![name, name_before];
    println!("{:?}", two_names);
}

Loops

With loops you can tell Rust to continue something until you want it to stop. With loop you can start a loop that does not stop, unless you tell it when to break.

fn main() { // This program will never stop
    loop {

    }
}

So let's tell the compiler when it can break.

fn main() {
    let mut counter = 0; // set a counter to 0
    loop {
        counter +=1; // increase the counter by 1
        println!("The counter is now: {}", counter);
        if counter == 5 { // stop when counter == 5
            break;
        }
    }
}

This will print:

The counter is now: 1
The counter is now: 2
The counter is now: 3
The counter is now: 4
The counter is now: 5

If you have a loop inside of a loop, you can give them names. With names, you can tell Rust which loop to break out of. Use ' (called a "tick") and a : to give it a name:

fn main() {
    let mut counter = 0;
    let mut counter2 = 0;
    println!("Now entering the first loop.");

    'first_loop: loop { // Give the first loop a name
        counter +=1;
        println!("The counter is now: {}", counter);
        if counter > 9 { // Starts a second loop inside this loop
            println!("Now entering the second loop.");

            'second_loop: loop { // now we are inside `second_loop
                println!("The second counter is now: {}", counter2);
                counter2 +=1;
                if counter2 == 3 {
                    break 'first_loop; // Break out of 'first_loop so we can exit the program
                }
            }
        }
    }
}

A while loop is a loop that continues while something is still true. Each loop, Rust will check if it is still true. If it becomes false, Rust will stop the loop.

fn main() {
    let mut counter = 0;

    while counter < 5 {
        counter +=1;
        println!("The counter is now: {}", counter);
    }
}

A for loop lets you tell Rust what to do each time. But in a for loop, the loop stops after a certain number of times. for loops use ranges very often. You use .. and ..= to create a range.

.. creates an exclusive range: 0..3 creates 0, 1, 2.
..= creates an inclusive range: 0..=3 = 0, 1, 2, 3.

fn main() {
    for number in 0..3 {
        println!("The number is: {}", number);
    }

    for number in 0..=3 {
        println!("The next number is: {}", number);
    }
}

Also notice that number becomes the variable name for 0..3. We can then use that name in println!.

If you don't need a variable name, use _.

fn main() {
    for _ in 0..3 {
        println!("Printing the same thing three times");
    }
}

Actually, if you give a variable name and don't use it, Rust will tell you:

fn main() {
    for number in 0..3 {
        println!("Printing the same thing three times");
    }
}

This is not an error, but Rust will remind you that you didn't use number:

warning: unused variable: `number`
 --> src\main.rs:2:9
  |
2 |     for number in 0..3 {
  |         ^^^^^^ help: if this is intentional, prefix it with an underscore: `_number`

Rust also suggests _number. Putting _ in front of a variable name means "maybe I will use it later". But using just _ means "I don't care about this variable at all".

You can also use break to return a value. You write the value right after break and use a ;. Here is an example with a loop and a break that gives my_number its value.

fn main() {
    let mut counter = 5;
    let my_number = loop {
        counter +=1;
        if counter % 53 == 3 {
            break counter;
        }
    };
    println!("{}", my_number);
}

break counter; means "break with the value of counter". And because the whole block starts with let, my_number gets the value.

Now that we know how to use loops, here is a better solution to the match problem with colours. It is a better solution because we want to compare everything, and a for loop looks at every item.

fn match_colours(rbg: (i32, i32, i32)) {
    let new_vec = vec![(rbg.0, "red"), (rbg.1, "blue"), (rbg.2, "green")]; // Put the colours in a vec. Inside are tuples with the colour names
    let mut all_have_at_least_10 = true; // Start with true. We will set it to false if one colour is less than 10
    for item in new_vec {
        if item.0 < 10 {
            all_have_at_least_10 = false; // Now it's false
            println!("Not much {}.", item.1) // And we print the colour name.
        }
    }
    if all_have_at_least_10 { // Check if it's still true, and print if true
        println!("Each colour has at least 10.")
    }
}

fn main() {
    let first = (200, 0, 0);
    let second = (50, 50, 50);
    let third = (200, 50, 0);

    match_colours(first);
    match_colours(second);
    match_colours(third);
}

Implementing structs and enums

To call functions on a struct or an enum, use an impl block. These functions are called methods. There are two kinds of methods in an impl block.

Regular methods: these take self (or &self or &mut self). Regular methods use a .. .clone() is a regular method.
Associated methods (or "static" methods): these do not take self. They are written differently, using ::. String::from() is an associated method. You usually use associated methods to create new variables.

In our example we are going to create animals and print them. For a new struct or enum, you need to give it Debug if you want to use {:?} to print. If you write #[derive(Debug)] above the struct or enum then you can print it with {:?}. These messages with #[] are called attributes. You can sometimes use them to tell the compiler to give your struct an ability like Debug. There are many attributes and we will learn about them later. But derive is probably the most common and you see it a lot above structs and enums.

#[derive(Debug)]
struct Animal {
    age: u8,
    animal_type: AnimalType,
}

impl Animal {
    fn new() -> Self {
        // Self means Animal.
        //You can also write Animal instead of Self

        Self {
            // When we write Animal::new(), we always get a cat that is 10 years old
            age: 10,
            animal_type: AnimalType::Cat,
        }
    }

    fn change_to_dog(&mut self) {
        // use .change_to_dog() to change the cat to a dog
        // with &mut self we can change it
        println!("Changing animal to dog!");
        self.animal_type = AnimalType::Dog;
    }

    fn change_to_cat(&mut self) {
        // use .change_to_cat() to change the dog to a cat
        // with &mut self we can change it
        println!("Changing animal to cat!");
        self.animal_type = AnimalType::Cat;
    }

    fn check_type(&self) {
        // we want to read self
        match self.animal_type {
            AnimalType::Dog => println!("The animal is a dog"),
            AnimalType::Cat => println!("The animal is a cat"),
        }
    }
}

#[derive(Debug)]
enum AnimalType {
    Cat,
    Dog,
}

fn main() {
    let mut new_animal = Animal::new(); // Associated method to create a new animal
                                        // It is a cat, 10 years old
    new_animal.check_type();
    new_animal.change_to_dog();
    new_animal.check_type();
    new_animal.change_to_cat();
    new_animal.check_type();
}

This prints:

The animal is a cat
Changing animal to dog!
The animal is a dog
Changing animal to cat!
The animal is a cat

Self

Remember that Self (the type Self) and self (the variable self) are abbreviations. (abbreviation = short way to write)

So in our code, Self = Animal. Also, fn change_to_dog(&mut self) means fn change_to_dog(&mut Animal)

Other collections

Rust has many more types of collections. You can see them at https://doc.rust-lang.org/beta/std/collections/ in the standard library. That page has good explanations for why to use one type, so go there if you don't know what type you want. We will start with HashMap, which is very common.

HashMap (and BTreeMap)

A HashMap is a collection made out of keys and values. You use the key to look up the value that matches the key. You can create a new HashMap with just HashMap::new() and use .insert(key, value) to insert items.

A HashMap is not in order, so if you print every key in a HashMap together it will probably print differently. We can see this in an example:

use std::collections::HashMap; // You have to bring HashMap in to use it

struct City {
    name: String,
    population: HashMap<u32, u32>, // This will have the date and the population for the date
}

fn main() {

    let mut tallinn = City {
        name: "Tallinn".to_string(),
        population: HashMap::new(), // So far the HashMap is empty
    };

    tallinn.population.insert(1372, 3_250); // insert three dates
    tallinn.population.insert(1851, 24_000);
    tallinn.population.insert(2020, 437_619);


    for (year, population) in tallinn.population { // The HashMap is HashMap<u32, u32> so it returns a tuple with two items
        println!("In the year {} the city of {} had a population of {}.", year, tallinn.name, population);
    }
}

This prints:

In the year 1372 the city of Tallinn had a population of 3250.
In the year 2020 the city of Tallinn had a population of 437619.
In the year 1851 the city of Tallinn had a population of 24000.

or it might print:

In the year 1851 the city of Tallinn had a population of 24000.
In the year 2020 the city of Tallinn had a population of 437619.
In the year 1372 the city of Tallinn had a population of 3250.

If you want a HashMap that you can sort, you can use a BTreeMap. Actually they are very similar to each other, so we can quickly change our HashMap to a BTreeMap to see. You will notice that it is almost the same code.

use std::collections::BTreeMap; // Just change HashMap to BTreeMap

struct City {
    name: String,
    population: BTreeMap<u32, u32>, // Just change HashMap to BTreeMap
}

fn main() {

    let mut tallinn = City {
        name: "Tallinn".to_string(),
        population: BTreeMap::new(), // Just change HashMap to BTreeMap
    };

    tallinn.population.insert(1372, 3_250);
    tallinn.population.insert(1851, 24_000);
    tallinn.population.insert(2020, 437_619);

    for (year, population) in tallinn.population.iter() { // just add .iter() - it will be sorted
        println!("In the year {} the city of {} had a population of {}.", year, tallinn.name, population);
    }
}

Now it will always print:

In the year 1372 the city of Tallinn had a population of 3250.
In the year 1851 the city of Tallinn had a population of 24000.
In the year 2020 the city of Tallinn had a population of 437619.

Now we will go back to HashMap.

You can get a value in a HashMap by just putting the key in [] square brackets. This will bring up the value for the key Bielefeld, which is Germany. But be careful, because the program will crash if there is no key. If you write println!("{:?}", city_hashmap["Bielefeldd"]); for example then it will crash, because Bielefeldd doesn't exist. If you are not sure that there will be a key, you can use .get() which returns an Option. Then you will get None instead of crashing the program.

use std::collections::HashMap;

fn main() {
    let canadian_cities = vec!["Calgary", "Vancouver", "Gimli"];
    let german_cities = vec!["Karlsruhe", "Bad Doberan", "Bielefeld"];

    let mut city_hashmap = HashMap::new();

    for city in canadian_cities {
        city_hashmap.insert(city, "Canada");
    }
    for city in german_cities {
        city_hashmap.insert(city, "Germany");
    }

    println!("{:?}", city_hashmap["Bielefeld"]);
    println!("{:?}", city_hashmap.get("Bielefeld"));
    println!("{:?}", city_hashmap.get("Bielefeldd")); 
}

This prints:

"Germany"
Some("Germany")
None

because Bielefeld exists, but Bielefeldd does not exist.

If a HashMap already has a key when you try to put it in, it will overwrite the value that matches it:

use std::collections::HashMap;

fn main() {
    let mut book_hashmap = HashMap::new();
    
    book_hashmap.insert(1, "L'Allemagne Moderne");
    book_hashmap.insert(1, "Le Petit Prince");
    book_hashmap.insert(1, "Eye of the World");

    println!("{:?}", book_hashmap.get(&1)); 
}

This prints Some("Eye of the World"), because it was the last one you used .insert() for.

It is easy to check if an entry exists, because you can check with .get() which gives an Option:

use std::collections::HashMap;

fn main() {
    let mut book_hashmap = HashMap::new();

    book_hashmap.insert(1, "L'Allemagne Moderne");

    if book_hashmap.get(&1).is_none() {
        book_hashmap.insert(1, "Le Petit Prince");
    }

    println!("{:?}", book_hashmap.get(&1));
}

On this subject, HashMap has a very interesting method called .entry(). With this you can try to make an entry and use another method like .or_insert() to insert the value if there is no key. The interesting part is that it also gives a mutable reference so you can change it. First is an example where we just insert true every time we insert a book title into the HashMap.

use std::collections::HashMap;

fn main() {
    let book_collection = vec!["L'Allemagne Moderne", "Le Petit Prince", "Eye of the World", "Eye of the World"]; // Eye of the World appears twice

    let mut book_hashmap = HashMap::new();

    for book in book_collection {
        book_hashmap.entry(book).or_insert(true);
    }
}

But maybe it would be better to count the number of books so that we know that there are two copies of Eye of the World. First let's look at what .entry() does, and what .or_insert() does. .entry() actually returns an enum called Entry:

pub fn entry(&mut self, key: K) -> Entry<K, V> // 🚧

Here is the page for Entry. There we can see the code for it:

use std::collections::hash_map::*;

pub enum Entry<'a, K: 'a, V: 'a> {
    Occupied(OccupiedEntry<'a, K, V>),
    Vacant(VacantEntry<'a, K, V>),
}

fn main() { }

Then when we call .or_insert(), it looks at the enum and decides what to do.

pub fn or_insert(self, default: V) -> &'a mut V { // 🚧
    match self {
        Occupied(entry) => entry.into_mut(),
        Vacant(entry) => entry.insert(default),
    }
}

The interesting part is that it returns a mut reference. That means you can bind it to a variable, and change the variable to change the value in the HashMap. So for every book we will insert a 0 if there is no entry, and we will use += 1 on the reference. Now it looks like this:

use std::collections::HashMap;

fn main() {
    let book_collection = vec!["L'Allemagne Moderne", "Le Petit Prince", "Eye of the World", "Eye of the World"];

    let mut book_hashmap = HashMap::new();

    for book in book_collection {
        let return_value = book_hashmap.entry(book).or_insert(0);
        *return_value +=1;
    }

    for (book, number) in book_hashmap {
        println!("{:?}, {:?}", book, number);
    }
}

The important part is let return_value = book_hashmap.entry(book).or_insert(0);. If you take out the variable, you get book_hashmap.entry(book).or_insert(0). If you do that then the mutable reference just doesn't go anywhere: it inserts 0, and then has a mutable reference to 0 that nobody takes. So we bind it to return_value so we can keep the 0. Then we increase the value by 1, which gives at least 1 for every book in the HashMap. Then when .entry() looks at Eye of the World again it doesn't insert anything, but it gives us a mutable 1. Then we increase it to 2, and that's why it prints this:

"L\'Allemagne Moderne", 1
"Eye of the World", 2
"Le Petit Prince", 1

You can also use .or_insert_with() which lets you use a closure. You can always just do this:

// 🚧
let return_value = book_hashmap.entry(book).or_insert_with(|| 0); // Closure with nothing

or add any logic that you want. Here is something simple.

    // 🚧
    for book in book_collection {
        let return_value =
            book_hashmap.entry(book).or_insert_with(|| {
                    if book == "Eye of the World" { // Maybe an extra copy is arriving next week
                                                    // so we know there will be at least one more
                        1
                    } else {
                        0
                    }
                },
            );
        *return_value += 1;
    }

You can also do things with .or_insert() like insert a vec and then push into the vec. Let's pretend that we asked men and women on the street what they think of a politican. They give a rating from 0 to 10. Then we want to put the numbers together to see if the politician is more popular with men or women. It can look like this:

use std::collections::HashMap;

fn main() {
    let data = [ // This is the raw data
        ("male", 9),
        ("female", 5),
        ("male", 0),
        ("female", 6),
        ("female", 5),
        ("male", 10),
    ];

    let mut survey_hash = HashMap::new();

    for item in data.iter() { // This gives a tuple of &(&str, i32)
        survey_hash.entry(item.0).or_insert(Vec::new()).push(item.1);
    }

    for (male_or_female, numbers) in survey_hash {
        println!("{:?}: {:?}", male_or_female, numbers);
    }
}

This prints:

"female", [5, 6, 5]
"male", [9, 0, 10]

The important line is: survey_hash.entry(item.0).or_insert(Vec::new()).push(item.1); So if it sees "female" it will check to see if there is "female" already in the HashMap. If not, it will insert a Vec::new(), then push the number in. If it sees "female" already in the HashMap, it will not insert a new Vec, and will just push the number into it.

HashSet and BTreeSet

A HashSet is actually a HashMap that only has keys. On the page for HashSet it explains this on the top:

A hash set implemented as a HashMap where the value is ().

You often use a HashSet if you just want to know if a key exists, or doesn't exist.

Imagine that you have 100 random numbers, and each number between 1 and 100. If you do this, some numbers will appear more than once, while some won't appear at all. If you put them into a HashSet then you will have a list of all the numbers that appeared.

use std::collections::HashSet;

fn main() {
    let many_numbers = vec![
        94, 42, 59, 64, 32, 22, 38, 5, 59, 49, 15, 89, 74, 29, 14, 68, 82, 80, 56, 41, 36, 81, 66,
        51, 58, 34, 59, 44, 19, 93, 28, 33, 18, 46, 61, 76, 14, 87, 84, 73, 71, 29, 94, 10, 35, 20,
        35, 80, 8, 43, 79, 25, 60, 26, 11, 37, 94, 32, 90, 51, 11, 28, 76, 16, 63, 95, 13, 60, 59,
        96, 95, 55, 92, 28, 3, 17, 91, 36, 20, 24, 0, 86, 82, 58, 93, 68, 54, 80, 56, 22, 67, 82,
        58, 64, 80, 16, 61, 57, 14, 11];

    let mut number_hashset = HashSet::new();

    for number in many_numbers {
        number_hashset.insert(number);
    }

    let hashset_length = number_hashset.len(); // The length tells us how many numbers are in it
    println!("There are {} unique numbers, so we are missing {}.", hashset_length, 100 - hashset_length);

    // Let's see what numbers we are missing
    let mut missing_vec = vec![];
    for number in 0..100 {
        if number_hashset.get(&number).is_none() { // If .get() returns None,
            missing_vec.push(number);
        }
    }

    print!("It does not contain: ");
    for number in missing_vec {
        print!("{} ", number);
    }
}

This prints:

There are 66 unique numbers, so we are missing 34.
It does not contain: 1 2 4 6 7 9 12 21 23 27 30 31 39 40 45 47 48 50 52 53 62 65 69 70 72 75 77 78 83 85 88 97 98 99

A BTreeSet is similar to a HashSet in the same way that a BTreeMap is similar to a HashMap. If we print each item in the HashSet, we don't know what the order will be:

for entry in number_hashset { // 🚧
    print!("{} ", entry);
}

Maybe it will print this: 67 28 42 25 95 59 87 11 5 81 64 34 8 15 13 86 10 89 63 93 49 41 46 57 60 29 17 22 74 43 32 38 36 76 71 18 14 84 61 16 35 90 56 54 91 19 94 44 3 0 68 80 51 92 24 20 82 26 58 33 55 96 37 66 79 73. But it will almost never print it in the same way again.

Here as well, it is easy to change your HashSet to a BTreeSet if you decide you need ordering. For our code, we only change two places.

use std::collections::BTreeSet; // Change HashSet to BTreeSet

fn main() {
    let many_numbers = vec![
        94, 42, 59, 64, 32, 22, 38, 5, 59, 49, 15, 89, 74, 29, 14, 68, 82, 80, 56, 41, 36, 81, 66,
        51, 58, 34, 59, 44, 19, 93, 28, 33, 18, 46, 61, 76, 14, 87, 84, 73, 71, 29, 94, 10, 35, 20,
        35, 80, 8, 43, 79, 25, 60, 26, 11, 37, 94, 32, 90, 51, 11, 28, 76, 16, 63, 95, 13, 60, 59,
        96, 95, 55, 92, 28, 3, 17, 91, 36, 20, 24, 0, 86, 82, 58, 93, 68, 54, 80, 56, 22, 67, 82,
        58, 64, 80, 16, 61, 57, 14, 11];

    let mut number_btreeset = BTreeSet::new(); // Change HashSet to BTreeSet

    for number in many_numbers {
        number_btreeset.insert(number);
    }
    for entry in number_btreeset {
        print!("{} ", entry);
    }
}

Now it will print in order.

BinaryHeap

A BinaryHeap is an interesting collection type, because it is mostly unordered but has a bit of order. It is a collection that keeps the largest item in the front, but the other items are in any order.

We will use another list of items for an example, but this time smaller.

use std::collections::BinaryHeap; 

fn show_remainder(input: &BinaryHeap<i32>) -> Vec<i32> { // This function shows the remainder in the BinaryHeap. Actually an iterator would be 
                                                         // faster than a function - we will learn them later.
    let mut remainder_vec = vec![];
    for number in input {
        remainder_vec.push(*number)
    }
    remainder_vec
}

fn main() {
    let many_numbers = vec![0, 5, 10, 15, 20, 25, 30]; // These numbers are in order

    let mut my_heap = BinaryHeap::new();

    for number in many_numbers {
        my_heap.push(number);
    }

    while let Some(number) = my_heap.pop() { // .pop() returns Some(number) if a number is there, None if not. It pops from the front
        println!("Popped off {}. Remaining numbers are: {:?}", number, show_remainder(&my_heap));
    }
}

This prints:

Popped off 30. Remaining numbers are: [25, 15, 20, 0, 10, 5]
Popped off 25. Remaining numbers are: [20, 15, 5, 0, 10]
Popped off 20. Remaining numbers are: [15, 10, 5, 0]
Popped off 15. Remaining numbers are: [10, 0, 5]
Popped off 10. Remaining numbers are: [5, 0]
Popped off 5. Remaining numbers are: [0]
Popped off 0. Remaining numbers are: []

You can see that the number in the 0 index is always largest: 25, 20, 15, 10, 5, then 0. But the other ones are all different.

A good way to use a BinaryHeap is for a collection of tasks. Here we create a BinaryHeap<u8, &str> where the u8 is a number for the importance of the task. The &str is a description of what to do.

use std::collections::BinaryHeap;

fn main() {
    let mut jobs = BinaryHeap::new();

	// Add jobs to do throughout the day
    jobs.push((100, "Write back to email from the CEO"));
    jobs.push((80, "Finish the report today"));
    jobs.push((5, "Watch some YouTube"));
    jobs.push((70, "Tell your team members thanks for always working hard"));
    jobs.push((30, "Plan who to hire next for the team"));

    while let Some(job) = jobs.pop() {
        println!("You need to: {}", job.1);
    }
}

This will always print:

You need to: Write back to email from the CEO
You need to: Finish the report today
You need to: Tell your team members thanks for always working hard
You need to: Plan who to hire next for the team
You need to: Watch some YouTube

VecDeque

A VecDeque is a Vec that is good at popping items both off the front and the back. When you use .pop() on a Vec, it just takes off the last item on the right and nothing else is moved. But if you take it off another part, all the items to the right are moved over one position to the left. You can see this in the description for .remove():

Removes and returns the element at position index within the vector, shifting all elements after it to the left.

So if you do this:

fn main() {
    let mut my_vec = vec![9, 8, 7, 6, 5];
    my_vec.remove(0);
}

it will remove 9. 8 in index 1 will move to index 0, 7 in index 2 will move to index 1, and so on.

You don't have to worry about that with a VecDeque. It is usually a bit slower than a Vec, but if you have to do things on both ends then it is a better solution.

In this example we have a Vec of things to do. Then we make a VecDeque and use .push_front() to put them at the front, so the first item we added will be on the right. But each item we push is a (&str, bool): &str is the description and false means it's not done yet. We use our done() function to pop an item off the back, but we don't want to delete it. Instead, we change false to true and push it at the front.

It looks like this:

use std::collections::VecDeque;

fn check_remaining(input: &VecDeque<(&str, bool)>) { // Each item is a (&str, bool)
    for item in input {
        if item.1 == false {
            println!("You must: {}", item.0);
        }
    }
}

fn done(input: &mut VecDeque<(&str, bool)>) {
    let mut task_done = input.pop_back().unwrap(); // pop off the back
    task_done.1 = true;	                           // now it's done - mark as true
    input.push_front(task_done);                   // put it at the front now
}

fn main() {
    let mut my_vecdeque = VecDeque::new();
    let things_to_do = vec!["send email to customer", "add new product to list", "phone Loki back"];

    for thing in things_to_do {
        my_vecdeque.push_front((thing, false));
    }

    done(&mut my_vecdeque);
    done(&mut my_vecdeque);

    check_remaining(&my_vecdeque);

    for task in my_vecdeque {
        print!("{:?} ", task);
    }
}

This prints:

You must: phone Loki back
("add new product to list", true) ("send email to customer", true) ("phone Loki back", false)

Generics

In functions, you write what type to take as input:

fn return_number(number: i32) -> i32 {
    println!("Here is your number.");
    number
}

fn main() {
    let number = return_number(5);
}

But maybe you also want to input an i8, or a u32, and so on. You can use generics for this. Generics means "maybe one type, maybe another type".

For generics, you use angle brackets with the type inside: <T> This means "any type you put into the function". Usually, generics uses types with one capital letter (T, U, V, etc.).

This is how you change the function:

fn return_number<T>(number: T) -> T {
    println!("Here is your number.");
    number
}

fn main() {
    let number = return_number(5);
}

The important part is the <T> after the function name. Without this, Rust will think that T is a concrete (concrete = not generic) type, like String or i8.

This is easier to understand if we write out a type name:

fn return_number(number: MyType) -> MyType { // ⚠️
    println!("Here is your number.");
    number
}

As you can see, MyType is concrete, not generic. So we need to write this and so now it works:

fn return_number<MyType>(number: MyType) -> MyType {
    println!("Here is your number.");
    number
}

fn main() {
    let number = return_number(5);
}

Now we will go back to type T, because Rust code usually uses T.

You will remember that some types in Rust are Copy, some are Clone, some are Display, some are Debug, and so on. With Debug, we can print with {:?}. So now you can see that this is a problem:

fn print_number<T>(number: T) {
    println!("Here is your number: {:?}", number); // ⚠️
}

fn main() {
    print_number(5);
}

print_number needs Debug to print number, but is T a type with Debug? Maybe not. The compiler doesn't know, so it gives an error:

error[E0277]: `T` doesn't implement `std::fmt::Debug`
  --> src\main.rs:29:43
   |
29 |     println!("Here is your number: {:?}", number);
   |                                           ^^^^^^ `T` cannot be formatted using `{:?}` because it doesn't implement `std::fmt::Debug`

T doesn't implement Debug. So do we implement Debug for T? No, because we don't know what T is. But we can tell the function: "only accept types that have Debug".

use std::fmt::Debug; // Debug is located at std::fmt::Debug. If we write this,
                     // then now we can just write 'Debug'.

fn print_number<T: Debug>(number: T) {
    println!("Here is your number: {:?}", number);
}

fn main() {
    print_number(5);
}

So now the compiler knows: "Okay, I will only take a type if it has Debug". Now the code works, because i32 is Debug. Now we can give it many types: String, &str, and so on.

Now we can create a struct and give it Debug, and now we can print it too. Our function can take i32, the struct Animal, and more:

use std::fmt::Debug;

#[derive(Debug)]
struct Animal {
    name: String,
    age: u8,
}

fn print_item<T: Debug>(item: T) {
    println!("Here is your item: {:?}", item);
}

fn main() {
    let charlie = Animal {
        name: "Charlie".to_string(),
        age: 1,
    };

    let number = 55;

    print_item(charlie);
    print_item(number);
}

This prints:

Here is your item: Animal { name: "Charlie", age: 1 }
Here is your item: 55

Sometimes we need more than one type in a generic function. We have to write out each type name, and think about how we want to use it. In this example, we want two types. First we want to print a statement for type T. Printing with {} is nicer, so we will require Display for T.

Next is type U, and the two variables num_1 and num_2 have type U (U is some sort of number). We want to compare them, so we need PartialOrd. We want to print them too, so we require Display for U as well.

use std::fmt::Display;
use std::cmp::PartialOrd;

fn compare_and_display<T: Display, U: Display + PartialOrd>(statement: T, num_1: U, num_2: U) {
    println!("{}! Is {} greater than {}? {}", statement, num_1, num_2, num_1 > num_2);
}

fn main() {
    compare_and_display("Listen up!", 9, 8);
}

So fn compare_and_display<T: Display, U: Display + PartialOrd>(statement: T, num_1: U, num_2: U) says:

The function name is compare_and_display,
The first type is T, and it is generic. It must be a type that can print with {}.
The next type is U, and it is generic. It must be a type that can print with {}. Also, it must be a type that can compare (use >, <, and ==).

Now we can give compare_and_display different types. statement can be a String, a &str, anything with Display.

To make generic functions easier to read, we can also write it like this:

use std::cmp::PartialOrd;
use std::fmt::Display;

fn compare_and_display<T, U>(statement: T, num_1: U, num_2: U)
where
    T: Display,
    U: Display + PartialOrd,
{
    println!("{}! Is {} greater than {}? {}", statement, num_1, num_2, num_1 > num_2);
}

fn main() {
    compare_and_display("Listen up!", 9, 8);
}

Using where is a good idea when you have many generic types.

Also note:

If you have one type T and another type T, they must be the same.
If you have one type T and another type U, they can be different. But they can also be the same.

For example:

use std::fmt::Display;

fn say_two<T: Display, U: Display>(statement_1: T, statement_2: U) { // Type T needs Display, type U needs Display
    println!("I have two things to say: {} and {}", statement_1, statement_2);
}

fn main() {

    say_two("Hello there!", String::from("I hate sand.")); // Type T is a &str. Type U is a String.
    say_two(String::from("Where is Padme?"), String::from("Is she all right?")); // Both types are String.
}

Option and Result

We understand enums and generics now, so we can understand Option and Result. Rust uses these two enums to make code safer. We will start with Option.

You use Option when you have a value that might exist, or might not exist. Here is an example of bad code that can be improved with Option.

fn main() {
    let new_vec = vec![1, 2];
    let index = take_fifth(new_vec);
}

fn take_fifth(value: Vec<i32>) -> i32 {
    value[4]
}

When we run the code, it panics. Here is the message:

thread 'main' panicked at 'index out of bounds: the len is 2 but the index is 4', src\main.rs:34:5

Panic means that the program stops before the problem happens. Rust sees that the function wants something impossible, and stops. It "unwinds the stack" (takes the values off the stack) and tells you "sorry, I can't do that".

So now we will change the return type from i32 to Option<i32>. This means "give me an i32 if it's there, and give me None if it's not". We say that the i32 is "wrapped" in an Option, which means that it's inside an Option.

fn main() {
    let new_vec = vec![1, 2];
    let bigger_vec = vec![1, 2, 3, 4, 5];
    println!("{:?}, {:?}", take_fifth(new_vec), take_fifth(bigger_vec));
}

fn take_fifth(value: Vec<i32>) -> Option<i32> {
    if value.len() < 5 { // .len() gives the length of the vec.
                         // It must be at least 5.
        None
    } else {
        Some(value[4])
    }
}

This prints None, Some(5). This is good, because now we don't panic anymore. But how do we get the value 5?

We can get the value inside an option with .unwrap(), but be careful with .unwrap(). If you unwrap a value that is None, the program will panic.

fn main() {
    let new_vec = vec![1, 2];
    let bigger_vec = vec![1, 2, 3, 4, 5];
    println!( // with .unwrap() the code is getting longer
              // so we will write on more than one line.
        "{:?}, {:?}",
        take_fifth(new_vec).unwrap(), // this one is None. .unwrap() will panic!
        take_fifth(bigger_vec).unwrap()
    );
}

fn take_fifth(value: Vec<i32>) -> Option<i32> {
    if value.len() < 4 {
        None
    } else {
        Some(value[4])
    }
}

But we don't need to use .unwrap(). We can use a match, and print when we have Some, and not print if we have None. For example:

fn main() {
    let new_vec = vec![1, 2];
    let bigger_vec = vec![1, 2, 3, 4, 5];
    let mut option_vec = Vec::new(); // Make a new vec to hold our options
                                     // The vec is type: Vec<Option<i32>>. That means a vec of Option<i32>.

    option_vec.push(take_fifth(new_vec)); // This pushes "None" into the vec
    option_vec.push(take_fifth(bigger_vec)); // This pushes "Some(5)" into the vec

    handle_option(option_vec); // handle_option looks at every option in the vec.
                               // It prints the value if it is Some. It doesn't print if it is None.
}

fn take_fifth(value: Vec<i32>) -> Option<i32> {
    if value.len() < 4 {
        None
    } else {
        Some(value[4])
    }
}

fn handle_option(my_option: Vec<Option<i32>>) {
  for item in my_option {
    match item {
      Some(number) => println!("{}", number),
      None => {}, // do nothing
    }
  }
}

Because we know generics, we can understand Option. It looks like this:

enum Option<T> {
    None,
    Some(T),
}

fn main() { }

The important point to remember: with Some, you have a value of type T (any type). But with None, you don't have anything. So in a match statement for Option you can't say:

// 🚧
Some(value) => println!("The value is {}", value),
None(value) => println!("The value is {}", value),

because None is just None.

Of course, there are easier ways to use Option. In this easier way, we don't need handle_option() anymore. We also don't need a vec for the Options.

fn main() {
    let new_vec = vec![1, 2];
    let bigger_vec = vec![1, 2, 3, 4, 5];
    let vec_of_vecs = vec![new_vec, bigger_vec];
    for vec in vec_of_vecs {
        let inside_number = take_fifth(vec);
        if inside_number.is_some() { // .is_some() returns true if we get Some, false if we get None
            println!("{}", inside_number.unwrap()); // now it is safe to use .unwrap() because we already checked
                                                    // println! does not happen if we have a None
        }
    }
}

fn take_fifth(value: Vec<i32>) -> Option<i32> {
    if value.len() < 4 {
        None
    } else {
        Some(value[4])
    }
}

Result

Result is similar to Option, but here is the difference:

Option is about Some or None (value or no value),
Result is about Ok or Err (okay result, or error result).

To compare, here are the signatures for Option and Result.

enum Option<T> {
    None,
    Some(T),
}

enum Result<T, E> {
    Ok(T),
    Err(E),
}

fn main() { }

So Result has a value inside of Ok, and a value inside of Err. That is because errors usually have information inside them.

Result<T, E> means you need to think of what you want to return for Ok, and what you want to return for Err. Actually, you can decide anything. Even this is okay:

fn main() {
    check_error();
}

fn check_error() -> Result<(), ()> {
    Ok(())
}

check_error says "return () if we get Ok, and return () if we get Err". Then we return Ok with a ().

Sometimes a function with Result will use a String for the Err value. This is not the best method to use, but sometimes it is okay.

fn main() {
    let mut result_vec = Vec::new(); // Create a new vec for the results

    for number in 2..7 {
        result_vec.push(check_if_five(number)); // push each result into the vec
    }

    println!("{:?}", result_vec);
}

fn check_if_five(number: i32) -> Result<i32, String> {
    match number {
        5 => Ok(number),
        _ => Err("Sorry, the number wasn't five.".to_string()), // This is our error message
    }
}

Our vec prints:

[Err("Sorry, the number wasn\'t five."), Err("Sorry, the number wasn\'t five."), Err("Sorry, the number wasn\'t five."), Ok(5),
Err("Sorry, the number wasn\'t five.")]

Just like Option, .unwrap() on Err will panic.

fn main() {
    let error_value: Result<i32, &str> = Err("There was an error"); // Create a Result that is already an Err
    println!("{}", error_value.unwrap()); // Unwrap it
}

The program panics, and prints:

thread 'main' panicked at 'called `Result::unwrap()` on an `Err` value: "There was an error"', src\main.rs:30:20

This information helps you fix your code. src\main.rs:30:20 means "inside main.rs in directory src, on line 30 and column 20". So you can go there to look at your code and fix the problem.

You can also create your own error types. Result functions in the standard library usually have their own error types. For example:

// 🚧
pub fn from_utf8(vec: Vec<u8>) -> Result<String, FromUtf8Error>

This function take a vector of bytes (u8) and tries to make a String. So the success case for the Result is a String and the error case is FromUtf8Error. You can give your error type any name you want. We will create our own error types later, because first we need to learn other things.

Using a match with Option and Result sometimes requires a lot of code. For example, the .get() method returns an Option on a Vec.

fn main() {
    let my_vec = vec![2, 3, 4];
    let get_one = my_vec.get(0); // 0 to get the first number
    let get_two = my_vec.get(10); // Returns None
    println!("{:?}", get_one);
    println!("{:?}", get_two);
}

This prints

Some(2)
None

So now we can match to get the values. Let's use a range from 0 to 10 to see if it matches the numbers in my_vec.

fn main() {
    let my_vec = vec![2, 3, 4];

    for index in 0..10 {
      match my_vec.get(index) {
        Some(number) => println!("The number is: {}", number),
        None => {}
      }
    }
}

This is good, but we don't do anything for None. Here we can make the code smaller by using if let. if let means "do something if it matches, and don't do anything if it doesn't". if let is when you don't care about matching for everything.

fn main() {
    let my_vec = vec![2, 3, 4];

    for index in 0..10 {
      if let Some(number) = my_vec.get(index) {
        println!("The number is: {}", number);
      }
    }
}

if let Some(number) = my_vec.get(index) means "if you get Some(number) from my_vec.get(index)". Also note: it uses one =. It is not a boolean.

while let is like a while loop for if let. Imagine that we have weather station data like this:

["Berlin", "cloudy", "5", "-7", "78"]
["Athens", "sunny", "not humid", "20", "10", "50"]

We want to get the numbers, but not the words. For the numbers, we can use a method called parse::<i32>(). parse() is the method, and ::<i32> is the type. It will try to turn the &str into an i32, and give it to us if it can.

We will also use .pop(). This takes the last item off of the vector.

fn main() {
    let mut weather_vec = vec!["Berlin", "cloudy", "5", "-7", "78"];
    while let Some(information) = weather_vec.pop() { // This means: keep going until you can't pop anymore
                                                      // When the vector reaches 0 items, it will return None
                                                      // and it will stop.
        if let Ok(number) = information.parse::<i32>() { // Try to parse the variable we called information
                                                         // This returns a result. If it's Ok(number), it will print it
            println!("The number is: {}", number);
        }
    }
}

The ? operator

There is an even shorter way to deal with Result (and Option), shorter than match and even shorter than if let. It is called the "question mark operator", and is just ?. After a function that returns a result, you can add ?. This will:

return the result if it is Ok
pass the error back if it is Err

In other words, it does almost everything for you.

We can try this with .parse() again. We will write a function called parse_str that tries to turn a &str into a i32. It looks like this:

fn parse_str(input: &str) -> Result<i32, std::num::ParseIntError> {
    let parsed_number = input.parse::<i32>()?; // Here is the question mark
    Ok(parsed_number)
}

fn main() { }

This function takes a &str. If it is Ok, it gives an i32 wrapped in Ok. If it is an Err, it returns a std::num::ParseIntError. Then we try to parse the number, and add ?. That means "check if it is an error, and give the result if it is okay". If it is not okay, it will return the error and end. But if it is okay, it will go to the next line. On the next line is the number inside of Ok(). We need to wrap it in Ok because the return is Result<i32, std::num::ParseIntError>, not i32.

Now, we can try out our function. Let's see what it does with a vec of &strs.

fn main() {
    let str_vec = vec!["Seven", "8", "9.0", "nice", "6060"];
    for item in str_vec {
        let parsed = parse_str(item);
        println!("{:?}", parsed);
    }
}

fn parse_str(input: &str) -> Result<i32, std::num::ParseIntError> {
    let parsed_number = input.parse::<i32>()?;
    Ok(parsed_number)
}

This prints:

Err(ParseIntError { kind: InvalidDigit })
Ok(8)
Err(ParseIntError { kind: InvalidDigit })
Err(ParseIntError { kind: InvalidDigit })
Ok(6060)

How did we find std::num::ParseIntError? One easy way is to "ask" the compiler again.

fn main() {
    let failure = "Not a number".parse::<i32>();
    failure.rbrbrb(); // ⚠️ Compiler: "What is rbrbrb()???"
}

The compiler doesn't understand, and says:

error[E0599]: no method named `rbrbrb` found for enum `std::result::Result<i32, std::num::ParseIntError>` in the current scope
 --> src\main.rs:3:13
  |
3 |     failure.rbrbrb();
  |             ^^^^^^ method not found in `std::result::Result<i32, std::num::ParseIntError>`

So std::result::Result<i32, std::num::ParseIntError> is the signature we need.

We don't need to write std::result::Result because Result is always "in scope" (in scope = ready to use). But std::num::ParseIntError is not in scope. We can bring it in scope if we want:

use std::num::ParseIntError;

Then we can write:

use std::num::ParseIntError;

fn parse_str(input: &str) -> Result<i32, ParseIntError> {
    let parsed_number = input.parse::<i32>()?;
    Ok(parsed_number)
}

fn main() { }

When panic and unwrap are good

Rust has a panic! macro that you can use to make it panic. It is easy to use:

fn main() {
    panic!("Time to panic!");
}

The message "Time to panic!" displays when you run the program: thread 'main' panicked at 'Time to panic!', src\main.rs:2:3

You will remember that src\main.rs is the directory and file name, and 2:3 is the line and column name. With this information, you can find the code and fix it.

panic! is a good macro to use when writing your code to make sure that you know when something changes. For example, our function prints_three_things always prints index [0], [1], and [2] from a vector. It is okay because we always give it a vector with three items:

fn main() {
    let my_vec = vec![8, 9, 10];
    prints_three_things(my_vec);
}

fn prints_three_things(vector: Vec<i32>) {
    println!("{}, {}, {}", vector[0], vector[1], vector[2]);
}

But later on we write more and more code, and maybe we forget that my_vec can only be three things. Now my_vec in this part has six things:

fn main() {
  let my_vec = vec![8, 9, 10, 10, 55, 99]; // Now my_vec has six things
  prints_three_things(my_vec);
}

fn prints_three_things(vector: Vec<i32>) {
  println!("{}, {}, {}", vector[0], vector[1], vector[2]);
}

No error happens, because [0] and [1] and [2] are all inside. But maybe it was important to only have three things. So we should have done this:

fn main() {
    let my_vec = vec![8, 9, 10];
    prints_three_things(my_vec);
}

fn prints_three_things(vector: Vec<i32>) {
    if vector.len() != 3 {
        panic!("my_vec must always have three items") // will panic if the length is not 3
    }
    println!("{}, {}, {}", vector[0], vector[1], vector[2]);
}

Now we will know if the vector has six items:

fn main() {
    let my_vec = vec![8, 9, 10, 10, 55, 99];
    prints_three_things(my_vec);
}

fn prints_three_things(vector: Vec<i32>) {
    if vector.len() != 3 {
        panic!("my_vec must always have three items")
    }
    println!("{}, {}, {}", vector[0], vector[1], vector[2]);
}

This gives us thread 'main' panicked at 'my_vec must always have three items', src\main.rs:8:9. Now we remember that my_vec should only have three items. So panic! is a good macro to create reminders in your code.

There are three other macros that are similar to panic! that you use a lot in testing. They are: assert!, assert_eq!, and assert_ne!.

They mean:

assert!(): if the part inside () is not true, the program will panic. *assert_eq!(): the two items inside () must be equal. *assert_ne!(): the two items inside () must not be equal.

Some examples:

fn main() {
    let my_name = "Loki Laufeyson";

    assert!(my_name == "Loki Laufeyson");
    assert_eq!(my_name, "Loki Laufeyson");
    assert_ne!(my_name, "Mithridates");
}

This will do nothing, because all three assert macros are okay.

You can also add a message if you want.

fn main() {
    fn main() {
        let my_name = "Loki Laufeyson";

        assert!(
            my_name == "Loki Laufeyson",
            "{} should be Loki Laufeyson",
            my_name
        );
        assert_eq!(
            my_name, "Loki Laufeyson",
            "{} and Loki Laufeyson should be equal",
            my_name
        );
        assert_ne!(
            my_name, "Mithridates",
            "{} must not equal Mithridates",
            my_name
        );
    }
}

These messages will only display if the program panics. So if you run this:

fn main() {
    let my_name = "Mithridates";

    assert_ne!(
        my_name, "Mithridates",
        "{} must not equal Mithridates",
        my_name
    );
}

It will display:

thread 'main' panicked at 'assertion failed: `(left != right)`
  left: `"Mithridates"`,
 right: `"Mithridates"`: Mithridates must not equal Mithridates', src\main.rs:4:5

So it is saying "you said that left != right, but left == right". And it displays our message that says Mithridates must not equal Mithridates.

unwrap is also good when you want the program to crash when there is a problem. Later, when your code is finished it is good to change unwrap to something else that won't crash. You can also use expect, which is like unwrap but with your own message.

This will crash:

fn main() {
    let my_vec = vec![9, 0, 10];
    let fourth = get_fourth(&my_vec);
}

fn get_fourth(input: &Vec<i32>) -> i32 {
    let fourth = input.get(3).unwrap();
    *fourth
}

The error message is thread 'main' panicked at 'called Option::unwrap() on a None value', src\main.rs:7:18.

Now we write our own message with expect:

fn main() {
    let my_vec = vec![9, 0, 10];
    let fourth = get_fourth(&my_vec);
}

fn get_fourth(input: &Vec<i32>) -> i32 {
    let fourth = input.get(3).expect("Input vector needs at least 4 items");
    *fourth
}

So the error message is thread 'main' panicked at 'Input vector needs at least 4 items', src\main.rs:7:18. .expect() is a little better than .unwrap() because it can give better information, but it will still panic on None. Here is an example of a bad practice, a function that tries to unwrap two times. It takes a Vec<Option<i32>>, so maybe each part will have a Some<i32> or maybe a None.

fn try_two_unwraps(input: Vec<Option<i32>>) { 
    println!("Index 0 is: {}", input[0].unwrap()); 
    println!("Index 1 is: {}", input[1].unwrap());
}

fn main() {
    let vector = vec![None, Some(1000)]; // This vector has a None, so it will panic
    try_two_unwraps(vector);
}

The message is: thread 'main' panicked at 'called `Option::unwrap()` on a `None` value', src\main.rs:2:32. We're not sure if it was the first .unwrap() or the second .unwrap() until we check the line. It would be better to check the length and also to not unwrap. But with .expect() at least it will be a little better. Here it is with .expect():

fn try_two_unwraps(input: Vec<Option<i32>>) {
    println!("Index 0 is: {}", input[0].expect("The first unwrap had a None!"));
    println!("Index 1 is: {}", input[1].expect("The second unwrap had a None!"));
}

fn main() {
    let vector = vec![None, Some(1000)];
    try_two_unwraps(vector);
}

So that is a bit better: thread 'main' panicked at 'The first unwrap had a None!', src\main.rs:2:32. We have the line number as well so we can find it.

You can also use unwrap_or if you want to always have a value that you want to choose.

fn main() {
    let my_vec = vec![8, 9, 10];

    let fourth = my_vec.get(3).unwrap_or(&0); // If .get doesn't work, we will make the value &0.
                                              // .get returns a reference, so we need &0 and not 0
                                              // to keep the types the same.
                                              // You can write "let *fourth" with a * if you want fourth to be
                                              // a 0 and not a &0, but here we just print so it doesn't matter

    println!("{}", fourth);
}

Traits

We have seen traits before: Debug, Copy, Clone are all traits. To give a type a trait, you have to implement it. Because Debug and the others are so common, it's easy to do:

#[derive(Debug)]
struct MyStruct {
    number: usize,
}

fn main() { }

But other traits are more difficult, so you need to implement them manually with impl. For example, std::ops::Add is used to add two things. But you can add in many ways.

struct ThingsToAdd {
    first_thing: u32,
    second_thing: f32,
}

fn main() { }

We can add first_thing and second_thing, but we need to give more information. Maybe we want an f32, so something like this:

// 🚧
let result = self.second_thing + self.first_thing as f32

But maybe we want an integer, so like this:

// 🚧
let result = self.second_thing as u32 + self.first_thing

Or maybe we want to just put self.first_thing next to self.second_thing and say that this is how we want to add. So if we add 55 to 33.4, we want to see 5533, not 88.

So first let's look at how to make a trait. To make a trait, write trait and then create some functions.

struct Animal { // A simple struct - an Animal only has a name
    name: String,
}

trait Dog { // The dog trait gives some functionality
    fn bark(&self) { // It can bark
        println!("Woof woof!");
    }
    fn run(&self) { // and it can run
        println!("The dog is running!");
    }
}

impl Dog for Animal {} // Now Animal has the trait Dog

fn main() {
    let rover = Animal {
        name: "Rover".to_string(),
    };

    rover.bark(); // Now Animal can use bark()
    rover.run();  // and it can use run()
}

This is okay, but we don't want to print "The dog is running". We can change the method .run(), but we have to follow the signature. The signature says:

// 🚧
fn run(&self) {
    println!("The dog is running!");
}

The signature says "fn run() takes &self, and returns nothing". So you can't do this:

fn run(&self) -> i32 { // ⚠️
    5
}

Rust will say:

   = note: expected fn pointer `fn(&Animal)`
              found fn pointer `fn(&Animal) -> i32`

But we can do this:

struct Animal { // A simple struct - an Animal only has a name
    name: String,
}

trait Dog { // The dog trait gives some functionality
    fn bark(&self) { // It can bark
        println!("Woof woof!");
    }
    fn run(&self) { // and it can run
        println!("The dog is running!");
    }
}

impl Dog for Animal {
    fn run(&self) {
        println!("{} is running!", self.name);
    }
}

fn main() { }

Now it prints Rover is running!. This is okay because we are returning (), or nothing, which is what the trait says.

Actually, a trait doesn't need to write out the whole function. Now we change bark() and run() to just say fn bark(&self) and fn run(&self);. This is not a full function, so the user must write it.

struct Animal {
    name: String,
}

trait Dog {
    fn bark(&self); // bark() says it needs a &self and returns nothing
    fn run(&self); // run() says it needs a &self and returns nothing.
                   // So now we have to write them ourselves.
}

impl Dog for Animal {
    fn bark(&self) {
        println!("{}, stop barking!!", self.name);
    }
    fn run(&self) {
        println!("{} is running!", self.name);
    }
}

fn main() {
    let rover = Animal {
        name: "Rover".to_string(),
    };

    rover.bark();
    rover.run();
}

So when you create a trait, you must think: "Which functions should I write? And which functions should the user write?" If you think the user will use the function the same way every time, then write out the function. If you think the user will use it differently, then just write the function signature.

So let's try implementing the Display trait for our struct. First we will make a simple struct:

struct Cat {
    name: String,
    age: u8,
}

fn main() {
    let mr_mantle = Cat {
        name: "Reggie Mantle".to_string(),
        age: 4,
    };
}

Now we want to print mr_mantle. Debug is easy to derive:

#[derive(Debug)]
struct Cat {
    name: String,
    age: u8,
}

fn main() {
    let mr_mantle = Cat {
        name: "Reggie Mantle".to_string(),
        age: 4,
    };

    println!("Mr. Mantle is a {:?}", mr_mantle);
}

but Debug print is not what we want.

Mr. Mantle is a Cat { name: "Reggie Mantle", age: 4 }

So we need to implement Display for Cat. On https://doc.rust-lang.org/std/fmt/trait.Display.html we can see the information for Display, and one example. It says:

use std::fmt;

struct Position {
    longitude: f32,
    latitude: f32,
}

impl fmt::Display for Position {
    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
        write!(f, "({}, {})", self.longitude, self.latitude)
    }
}

fn main() { }

Some parts of this we don't understand yet, like <'_> and what f is doing. But we understand the Position struct: it is just two f32s. We also understand that self.longitude and self.latitude are the values in the struct. So maybe we can just use this for our struct, with self.name and self.age. Also, write! looks a lot like println!. So we write this:

use std::fmt;

struct Cat {
    name: String,
    age: u8,
}

impl fmt::Display for Cat {
    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
        write!(f, "{} is a cat who is {} years old.", self.name, self.age)
    }
}

fn main() { }

Now our code looks like this:

use std::fmt;
struct Cat {
    name: String,
    age: u8,
}

impl fmt::Display for Cat {
  fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
      write!(f, "{} is a cat who is {} years old.", self.name, self.age)
  }
}

fn main() {
    let mr_mantle = Cat {
        name: "Reggie Mantle".to_string(),
        age: 4,
    };

    println!("{}", mr_mantle);
}

Success! Now when we use {} to print, we get Reggie Mantle is a cat who is 4 years old.. This looks much better.

The From trait

From is a very convenient trait to use, and you know this because you have seen it so much already. With From you can make a String from a &str, but you can make many types from many other types. For example, Vec uses From for the following:

From<&'_ [T]>
From<&'_ mut [T]>
From<&'_ str>
From<&'a Vec<T>>
From<[T; N]>
From<BinaryHeap<T>>
From<Box<[T]>>
From<CString>
From<Cow<'a, [T]>>
From<String>
From<Vec<NonZeroU8>>
From<Vec<T>>
From<VecDeque<T>>

That is a lot of Vec::from() that we have not tried yet. Let's make a few and see what happens.

use std::fmt::Display; // We will make a generic function to print them so we want Display

fn print_vec<T: Display>(input: &Vec<T>) { // Take any Vec<T> if type T has Display
    for item in input {
        print!("{} ", item);
    }
    println!();
}

fn main() {

    let array_vec = Vec::from([8, 9, 10]); // Try from an array
    print_vec(&array_vec);

    let str_vec = Vec::from("What kind of vec will I be?"); // An array from a &str? This will be interesting
    print_vec(&str_vec);

    let string_vec = Vec::from("What kind of vec will a String be?".to_string()); // Also from a String
    print_vec(&string_vec);
}

It prints the following:

8 9 10
87 104 97 116 32 107 105 110 100 32 111 102 32 118 101 99 32 119 105 108 108 32 73 32 98 101 63
87 104 97 116 32 107 105 110 100 32 111 102 32 118 101 99 32 119 105 108 108 32 97 32 83 116 114
105 110 103 32 98 101 63

If you look at the type, the second and third vectors are Vec<u8>, which means the bytes of the &str and the String. So you can see that From is very flexible and used a lot.

Let's make two structs and then implement From for one of them. One struct will be City, and the other will be Country. We want to be able to do this: let country_name = Country::from(vector_of_cities).

It looks like this:

#[derive(Debug)] // So we can print City
struct City {
    name: String,
    population: u32,
}

impl City {
    fn new(name: &str, population: u32) -> Self { // just a new function
        Self {
            name: name.to_string(),
            population,
        }
    }
}
#[derive(Debug)] // Country also needs to be printed
struct Country {
    cities: Vec<City>, // Our cities go in here
}

impl From<Vec<City>> for Country { // Note: we don't have to write From<City>, we can also do
                                   // From<Vec<City>>. So we can also implement on a type that
                                   // we didn't create
    fn from(cities: Vec<City>) -> Self {
        Self { cities }
    }
}

impl Country {
    fn print_cities(&self) { // function to print the cities in Country
        for city in &self.cities {
            // & because Vec<Cities> isn't Copy
            println!("{:?} has a population of {:?}.", city.name, city.population);
        }
    }
}

fn main() {
    let helsinki = City::new("Helsinki", 631_695);
    let turku = City::new("Turku", 186_756);

    let finland_cities = vec![helsinki, turku]; // This is the Vec<City>
    let finland = Country::from(finland_cities); // So now we can use From

    finland.print_cities();
}

You can see that From is easy to implement from types you didn't create like Vec, i32, and so on. Here is one more example where we create a vector that has two vectors. The first vector holds even numbers, and the second holds odd numbers. With From you can give it a vector of i32s and it will turn it into a Vec<Vec<i32>>: a vector that holds vectors of i32.

use std::convert::From;

#[derive(Debug)]
struct EvenOddVec(Vec<Vec<i32>>);

impl From<Vec<i32>> for EvenOddVec {
    fn from(input: Vec<i32>) -> Self {
        let mut even_odd_vec: Vec<Vec<i32>> = vec![vec![], vec![]]; // A vec with two empty vecs inside
                                                                    // This is the return value but first we must fill it
        for item in input {
            if item % 2 == 0 {
                even_odd_vec[0].push(item);
            } else {
                even_odd_vec[1].push(item);
            }
        }
        Self(even_odd_vec) // Now it is done so we return it as Self (Self = EvenOddVec)
    }
}

fn main() {
    let bunch_of_numbers = vec![8, 7, -1, 3, 222, 9787, -47, 77, 0, 55, 7, 8];
    let new_vec = EvenOddVec::from(bunch_of_numbers);

    println!("{:?}", new_vec);
}

A type like EvenOddVec is probably better as a generic T so we can use many number types. You can try to make the example generic if you want for practice.

Taking a String and a &str in a function

Sometimes you want a function that can take both a String and a &str. You can do this with generics and the AsRef trait. AsRef is used to give a reference from one type to another type. If you look at the documentation for String, you can see that it has AsRef for many types:

https://doc.rust-lang.org/std/string/struct.String.html

Here are some function signatures for them.

AsRef<str>:

// 🚧
impl AsRef<str> for String

fn as_ref(&self) -> &str

AsRef<[u8]>:

// 🚧
impl AsRef<[u8]> for String

fn as_ref(&self) -> &[u8]

AsRef<OsStr>:

// 🚧
impl AsRef<OsStr> for String

fn as_ref(&self) -> &OsStr

You can see that it takes &self and gives a reference to the other type. This means that if you have a generic type T, you can say that it needs AsRef<str>. If you do that, it will be able to take a &str and a String.

Let's start with the generic function. This doesn't work yet:

fn print_it<T>(input: T) {
    println!("{}", input) // ⚠️
}

fn main() {
    print_it("Please print me");
}

Rust says error[E0277]: T doesn't implement std::fmt::Display. So we will require T to implement Display.

use std::fmt::Display;

fn print_it<T: Display>(input: T) {
    println!("{}", input)
}

fn main() {
    print_it("Please print me");
}

Now it works and prints Please print me. That is good, but T can still be too many things. It can be an i8, an f32 and anything else with just Display. So we add AsRef<str>, and now T needs both AsRef<str> and Display.

use std::fmt::Display;

fn print_it<T: AsRef<str> + Display>(input: T) {
    println!("{}", input)
}

fn main() {
    print_it("Please print me");
    print_it("Also, please print me".to_string());
    // print_it(7); <- This will not print
}

Now it won't take types like i8.

Don't forget that you can write the function differently when it gets long. If we add Debug then it becomes fn print_it<T: AsRef<str> + Display + Debug>(input: T) which is long for one line. So we can write it like this:

use std::fmt::{Debug, Display}; // add Debug

fn print_it<T>(input: T) // Now this line is easy to read
where
    T: AsRef<str> + Debug + Display, // and these traits are easy to read
{
    println!("{}", input)
}

fn main() {
    print_it("Please print me");
    print_it("Also, please print me".to_string());
}

Chaining methods

Rust is a systems programming language, but it also has a functional style. Both styles are okay, but functional style is usually shorter. Here is an example of declarative style to make a Vec from 1 to 10:

fn main() {
    let mut new_vec = Vec::new();
    let mut counter = 1;

    while counter < 11 {
        new_vec.push(counter);
        counter += 1;
    }

    println!("{:?}", new_vec);
}

And here is an example of functional style:

fn main() {
    let new_vec = (1..=10).collect::<Vec<i32>>();
    // Or you can write it like this:
    // let new_vec: Vec<i32> = (1..=10).collect();
    println!("{:?}", new_vec);
}

.collect() can make collections of many types, so we have to tell it the type.

With functional style you can chain methods. That means to put many methods together in a single statement. Here is an example of many methods chained together:

fn main() {
    let my_vec = vec![0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10];

    let new_vec = my_vec.into_iter().skip(3).take(4).collect::<Vec<i32>>();

    println!("{:?}", new_vec);
}

This creates a Vec with [3, 4, 5, 6]. It is a good idea to put each method on a new line if you have many chained methods. This helps you to read the code. Here is the same code with each method on a new line:

fn main() {
    let my_vec = vec![0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10];

    let new_vec = my_vec
        .into_iter() // "iterate" over the items (iterate = work with each separately). into_iter() gives us owned values, not references
        .skip(3) // skip over three items: 0, 1, and 2
        .take(4) // take the next four: 3, 4, 5, and 6
        .collect::<Vec<i32>>(); // put them in a new Vec<i32>

    println!("{:?}", new_vec);
}

You can use this functional style best when you understand closures and iterators. So we will learn them next.

Iterators

An iterator is a collection that can give you the items in the collection, one at a time. Actually, we have already used iterators: the for loop gives you an iterator. When you want to use an iterator other times, you have to choose what kind:

.iter() for an iterator of references
.iter_mut() for an iterator of mutable references
.into_iter() for an iterator of values (not references)

We can use them like this:

fn main() {
    let vector1 = vec![1, 2, 3]; // for .iter() and .into_iter()
    let mut vector2 = vec![10, 20, 30]; // for .iter_mut()

    let vector1_a = vector1.iter().map(|x| x + 1).collect::<Vec<i32>>();
    vector2.iter_mut().for_each(|x| *x +=100);
    let vector1_b = vector1.into_iter().map(|x| x * 10).collect::<Vec<i32>>();

    println!("{:?}", vector1_a);
    println!("{:?}", vector2);
    println!("{:?}", vector1_b);

}

First we used .iter() on vector1 to get references. We added 1 to each, and made it into a new Vec. vector1 is still alive because we only used references: we didn't take by value. Now we have vector1, and a new Vec called vector1_a.

Then we used .iter_mut() for vector2. It is mutable, so we don't need to use .collect() to create a new Vec. Instead, we change the values in the same Vec with mutable references. So vector2 is still there. Because we don't need a new Vec, we use for_each: it's just like a for loop.

Finally we used into_iter to get an iterator by value from vector1. This destroys vector1, so after we make vector1_b we can't use vector1 again.

How an iterator works

An iterator works by using a method called .next(), which gives an Option. When you use an iterator, Rust calls next(). If it gets Some, it keeps going. If it gets None, it stops.

In documentation, you see examples like this to show how an iterator works.

fn main() {
    let my_vec = vec!['a', 'b', '거', '柳'];

    let mut my_vec_iter = my_vec.iter(); // This is an iterator type now, but we haven't called it yet

    assert_eq!(my_vec_iter.next(), Some(&'a')); // Call the first item with .next()
    assert_eq!(my_vec_iter.next(), Some(&'b')); // Call the next
    assert_eq!(my_vec_iter.next(), Some(&'거')); // Again
    assert_eq!(my_vec_iter.next(), Some(&'柳')); // Again
    assert_eq!(my_vec_iter.next(), None);        // Nothing is left: just None
    assert_eq!(my_vec_iter.next(), None); // You can keep calling .next() but it will always be None
}

Implementing Iterator for your own struct or enum is not too hard. First let's make a book library and think about it.

#[derive(Debug)] // we want to print it with {:?}
struct Library {
    library_type: LibraryType, // this is our enum
    books: Vec<String>, // list of books
}

#[derive(Debug)]
enum LibraryType { // libraries can be city libraries or country libraries
    City,
    Country,
}

impl Library {
    fn add_book(&mut self, book: &str) { // we use add_book to add new books
        self.books.push(book.to_string()); // we take a &str and turn it into a String, then add it to the Vec
    }

    fn new() -> Self { // this creates a new Library
        Self {
            library_type: LibraryType::City, // most are in the city so we'll choose City
                                             // most of the time
            books: Vec::new(),
        }
    }
}

fn main() {
    let mut my_library = Library::new(); // make a new library
    my_library.add_book("The Doom of the Darksword"); // add some books
    my_library.add_book("Demian - die Geschichte einer Jugend");
    my_library.add_book("구운몽");
    my_library.add_book("吾輩は猫である");

    println!("{:?}", my_library.books); // we can print our list of books
}

That works well. Now we want to implement Iterator for the library so we can use it in a for loop. Right now if we try a for loop, it doesn't work:

for item in my_library {
    println!("{}", item); // ⚠️
}

It says:

error[E0277]: `Library` is not an iterator
  --> src\main.rs:47:16
   |
47 |    for item in my_library {
   |                ^^^^^^^^^^ `Library` is not an iterator
   |
   = help: the trait `std::iter::Iterator` is not implemented for `Library`
   = note: required by `std::iter::IntoIterator::into_iter`

But we can make library into an iterator with impl Iterator for Library. Information on the Iterator trait is here in the standard library: https://doc.rust-lang.org/std/iter/trait.Iterator.html

On the top left of the page it says: Associated Types: Item and Required Methods: next. An "associated type" means "a type that goes together". Our associated type will be String, because we want the iterator to give us Strings.

In the page it has an example that looks like this:

// an iterator which alternates between Some and None
struct Alternate {
    state: i32,
}

impl Iterator for Alternate {
    type Item = i32;

    fn next(&mut self) -> Option<i32> {
        let val = self.state;
        self.state = self.state + 1;

        // if it's even, Some(i32), else None
        if val % 2 == 0 {
            Some(val)
        } else {
            None
        }
    }
}

fn main() { }

You can see that under impl Iterator for Alternate it says type Item = i32. This is the associated type. Our iterator will be for our list of books, which is a Vec<String>>. When we call next, it will give us a String. So we will write type Item = String;. That is the associated item.

To implement Iterator, you need to write the fn next() function. This is where you decide what the iterator should do. For our Library, we want it to give us the last books first. So we will match with .pop() which takes the last item off it it is Some. We also want to print " is found!" for each item. Now it looks like this:

#[derive(Debug)]
struct Library {
    library_type: LibraryType,
    books: Vec<String>,
}

#[derive(Debug)]
enum LibraryType {
    City,
    Country,
}

impl Library {
    fn add_book(&mut self, book: &str) {
        self.books.push(book.to_string());
    }

    fn new() -> Self {
        Self {
            library_type: LibraryType::City,
            // most of the time
            books: Vec::new(),
        }
    }
}

impl Iterator for Library {
    type Item = String;

    fn next(&mut self) -> Option<String> {
        match self.books.pop() {
            Some(book) => Some(book + " is found!"), // Rust allows String + &str
            None => None,
        }
    }
}

fn main() {
    let mut my_library = Library::new();
    my_library.add_book("The Doom of the Darksword");
    my_library.add_book("Demian - die Geschichte einer Jugend");
    my_library.add_book("구운몽");
    my_library.add_book("吾輩は猫である");

    for item in my_library { // we can use a for loop now
        println!("{}", item);
    }
}

This prints:

吾輩は猫である is found!
구운몽 is found!
Demian - die Geschichte einer Jugend is found!
The Doom of the Darksword is found!

Closures

Closures are like quick functions that don't need a name. Sometimes they are called lambdas. Closures are easy to find because they use || instead of ().

You can bind a closure to a variable, and then it looks like a function:

fn main() {
    let my_closure = || println!("This is a closure");
    my_closure();
}

So this closure takes nothing: || and prints a message.

In between the || we can add input variables and types:

fn main() {
    let my_closure = |x: i32| println!("{}", x);

    my_closure(5);
}

When the closure becomes more complicated, you can add a code block. Then it can be as long as you want.

fn main() {
    let my_closure = || {
        let number = 7;
        let other_number = 10;
        println!("The two numbers are {} and {}.", number, other_number);
          // This closure can be as long as we want, just like a function.
    };

    my_closure();
}

But closures are special because they can take variables outside the closure. So you can do this:

fn main() {
    let number_one = 6;
    let number_two = 10;

    let my_closure = || println!("{}", number_one + number_two);
    my_closure();
}

So this prints 16. You didn't need to put anything inside || because the closure can just take them.

By the way, that is where the name closure comes from, because they take variables and "enclose" them inside. And if you want to be very correct:

a || that doesn't enclose a variable from outside is an "anonymous function". Anonymous means "doesn't have a name".
a || that does enclose a variable from outside is a "closure".

But people will often call all || functions closures. After this section we will say "closure" for anything with a ||, but remember that it can mean an "anonymous function".

Why is it good to know the difference? It's because an anonymous function actually makes the same machine code as a function with a name. They are easy to write and feel "high level", so sometimes people think that the machine code will be complicated. But the machine code that Rust makes from it is just as fast as a regular function.

So let's look at some more things that closures can do. You can also do this:

fn main() {
    let number_one = 6;
    let number_two = 10;

    let my_closure = |x: i32| println!("{}", number_one + number_two + x);
    my_closure(5);
}

This closure takes number_one and number_two. We also gave it a new variable x and said that x is 5. Then it adds all three together.

Usually you see closures in Rust inside of a method, because it is very convenient to have a closure inside. For example, there is the unwrap_or method that we know that you can use to give a value if unwrap doesn't work. Before, we wrote: let fourth = my_vec.get(3).unwrap_or_(&0);. But there is also an unwrap_or_else method that has a closure inside. So you can do this:

fn main() {
    let my_vec = vec![8, 9, 10];

    let fourth = my_vec.get(3).unwrap_or_else(|| { // try to unwrap. If it doesn't work,
        if my_vec.get(0).is_some() { // see if my_vec has something at index [0]
            &my_vec[0] // Give the number at index 0 if there is something
        } else {
            &0 // otherwise give a &0
        }
    });

    println!("{}", fourth);
}

Of course, a closure can be very simple. You can just write let fourth = my_vec.get(3).unwrap_or_else(|| &0); for example. As long as you put the || in, the compiler knows that you have put in the closure that you need.

The most frequent closure method is maybe .map(). This method does something to each item. Here is one way to use it:

fn main() {
    let num_vec = vec![2, 4, 6];

    let double_vec = num_vec  // take num_vec
        .iter() // iterate over it
        .map(|number| number * 2) // for each item, multiply by two
        .collect::<Vec<i32>>(); // then make a new Vec from this
    println!("{:?}", double_vec);
}

Another good example is with .enumerate(). This gives an iterator with the index number, and the item. For example: [10, 9, 8] becomes (0, 10), (1, 9), (2, 8). So you can do this:

fn main() {
    let num_vec = vec![10, 9, 8];

    num_vec
        .iter() // iterate over num_vec
        .enumerate() // get (index, number)
        .for_each(|(index, number)| println!("Index number {} has number {}", index, number)); // do something for each one
}

This prints:

Index number 0 has number 10
Index number 1 has number 9
Index number 2 has number 8

In this case we use for_each instead of map. map is for doing something to each item and passing it on, and for_each is doing something when you see each item. Also, map doesn't do anything unless you use a method like collect.

Actually, this is the interesting thing about iterators. If you try to map without a method like collect, the compiler will tell you that it doesn't do anything:

fn main() {
    let num_vec = vec![10, 9, 8];

    num_vec
        .iter()
        .enumerate()
        .map(|(index, number)| println!("Index number {} has number {}", index, number));

}

It says:

warning: unused `std::iter::Map` that must be used
 --> src\main.rs:4:5
  |
4 | /     num_vec
5 | |         .iter()
6 | |         .enumerate()
7 | |         .map(|(index, number)| println!("Index number {} has number {}", index, number));
  | |_________________________________________________________________________________________^
  |
  = note: `#[warn(unused_must_use)]` on by default
  = note: iterators are lazy and do nothing unless consumed

This is a warning, so it's not an error: the program runs fine. But why doesn't num_vec do anything? We can look at the types to see.

let num_vec = vec![10, 9, 8]; Right now it is a Vec<i32>.
.iter() Now it is an Iter<i32>. So it is an iterator with items of i32.
.enumerate() Now it is an Enumerate<Iter<i32>>. So it is a type Enumerate of type Item of i32s.
.map() Now it is a type Map<Enumerate<Iter<i32>>>. So it is a type Map of type Enumerate of type Item of i32s.

So this Map<Enumerate<Iter<i32>>> is a structure that is ready to go, when we tell it what to do. Rust does this because it needs to be fast. It doesn't want to do this:

iterate over all the i32s in the Vec
enumerate over all the i32s from the iterator
map over all the enumerated i32s

Rust only wants to do one calculation, so it creates the structure and waits. Then if we say .collect::<Vec<i32>>() it knows what to do, and starts moving. This is what iterators are lazy and do nothing unless consumed means. The iterators don't do anything until you "consume" them (use them up).

You can even create complicated things like HashMap using .collect(), so it is very powerful. Here is an example of how to put two vecs into a HashMap. First we make the two vectors, and then we will use .into_iter() on them to get an iterator of values. Then we use the .zip() method. This method takes two iterators and attaches them together, like a zipper. Finally, we use .collect() to make the HashMap.

Here is the code:

use std::collections::HashMap;

fn main() {
    let some_numbers = vec![0, 1, 2, 3, 4, 5]; // a Vec<i32>
    let some_words = vec!["zero", "one", "two", "three", "four", "five"]; // a Vec<&str>

    let number_word_hashmap = some_numbers
        .into_iter() // now it is an iter
        .zip(some_words.into_iter()) // inside .zip() we put in the other iter. Now they are together. 
        .collect::<HashMap<_, _>>();

    println!("For key {} we get {}.", 2, number_word_hashmap.get(&2).unwrap());
}

This prints:

For key 2 we get two.

You can see that we wrote <HashMap<_, _>> because that is enough information for Rust to decide on the type HashMap<i32, &str>. You can write .collect::<HashMap<i32, &str>>(); if you want, or you can write it like this if you prefer:

use std::collections::HashMap;

fn main() {
    let some_numbers = vec![0, 1, 2, 3, 4, 5]; // a Vec<i32>
    let some_words = vec!["zero", "one", "two", "three", "four", "five"]; // a Vec<&str>
    let number_word_hashmap: HashMap<_, _> = some_numbers
        .into_iter()
        .zip(some_words.into_iter())
        .collect();
}

|_| in a closure

Sometimes you see |_| in a closure. This means that the closure needs an argument, but you don't need to use it. So |_| means "Okay, here is the argument but I won't give it a name because I don't care about it".

Here is an example of an error:

fn main() {
    let my_vec = vec![8, 9, 10];

    println!("{:?}", my_vec.iter().for_each(|| println!("We didn't use the variables at all"))); // ⚠️
}

Rust says that

error[E0593]: closure is expected to take 1 argument, but it takes 0 arguments
  --> src\main.rs:28:36
   |
28 |     println!("{:?}", my_vec.iter().for_each(|| println!("We didn't use the variables at all")));
   |                                    ^^^^^^^^ -- takes 0 arguments
   |                                    |
   |                                    expected closure that takes 1 argument

The compiler actually gives you some help:

help: consider changing the closure to take and ignore the expected argument
   |
28 |     println!("{:?}", my_vec.iter().for_each(|_| println!("We didn't use the variables at all")));

This is good advice. If you change || to |_| then it will work.

Helpful methods for closures and iterators

Rust becomes a very fun to language once you become comfortable with closures. With closures you can chain methods to each other and do a lot of things with very little code. Here are some closures and methods used with closures that we didn't see yet.

.filter(): This lets you keep the items in an iterator that you want to keep. Let's filter the months of the year.

fn main() {
    let months = vec!["January", "February", "March", "April", "May", "June", "July", "August", "September", "October", "November", "December"];

    let filtered_months = months
        .into_iter() // make an iter
        .filter(|month| month.len() < 5) // We don't want months more than 5 bytes in length.
                                         // We know that each letter is one byte so .len() is fine
        .filter(|month| month.contains("u")) // Also we only like months with the letter u
        .collect::<Vec<&str>>();

    println!("{:?}", filtered_months);
}

This prints ["June", "July"].

.filter_map(). This is called filter_map() because it does .filter() and .map(). The closure must return an Option<T>, and then filter_map() takes the value out of each Option if it is Some. So for example if you were to .filter_map() a vec![Some(2), None, Some(3)], it would return [2, 3].

We will write an example with a Company struct. Each company has a name so that field is String, but the CEO might have recently quit. So the ceo field is Some<String>. We will .filter_map() over some companies to just keep the CEO names.

struct Company {
    name: String,
    ceo: Option<String>,
}

impl Company {
    fn new(name: &str, ceo: &str) -> Self {
        let ceo = match ceo {
            "" => None,
            name => Some(name.to_string()),
        }; // ceo is decided, so now we return Self
        Self {
            name: name.to_string(),
            ceo,
        }
    }

    fn get_ceo(&self) -> Option<String> {
        self.ceo.clone() // Just returns a clone of the CEO (struct is not Copy)
    }
}

fn main() {
    let company_vec = vec![
        Company::new("Umbrella Corporation", "Unknown"),
        Company::new("Ovintiv", "Doug Suttles"),
        Company::new("The Red-Headed League", ""),
        Company::new("Stark Enterprises", ""),
    ];

    let all_the_ceos = company_vec
        .into_iter()
        .filter_map(|company| company.get_ceo()) // filter_map needs Option<T>
        .collect::<Vec<String>>();

    println!("{:?}", all_the_ceos);
}

Since .filter_map() needs an Option, what about Result? No problem: there is a method called .ok() that turns Option into Result. It is called .ok() because all it can send is the Ok result. You remember that Option is Option<T> while Result is Result<T, E> with information for both Ok and Err. So when you use .ok(), any Err information is lost and it becomes None.

Using parse.() is an easy example for this, where we try to parse some user input. .parse() takes a &str and tries to turn it into an f32. It returns a Result, but we are using filter_map() so we just throw out the errors. Anything that is Err becomes None and is filtered out by .filter_map().

fn main() {
    let user_input = vec!["8.9", "Nine point nine five", "8.0", "7.6", "eleventy-twelve"];

    let actual_numbers = user_input
        .into_iter()
        .filter_map(|input| input.parse::<f32>().ok())
        .collect::<Vec<f32>>();

    println!("{:?}", actual_numbers);
}

On the opposite side of .ok() is .ok_or() and ok_or_else(). This turns an Option into a Result. It is called .ok_or() because a Result gives an Ok or an Err, so you have to let it know what the Err value will be. That is because None in an Option doesn't have any information. Also, you can see now that the else part in the names of these methods means that it has a closure.

We can take our Option from the Company struct and turn it into a Result this way. For long-term error handling it is good to create your own type of error, and we will do that later. But for now we just give it an error message, so it becomes a Result<String, &str>.

// Everything before main() is exactly the same
struct Company {
    name: String,
    ceo: Option<String>,
}

impl Company {
    fn new(name: &str, ceo: &str) -> Self {
        let ceo = match ceo {
            "" => None,
            name => Some(name.to_string()),
        };
        Self {
            name: name.to_string(),
            ceo,
        }
    }

    fn get_ceo(&self) -> Option<String> {
        self.ceo.clone()
    }
}

fn main() {
    let company_vec = vec![
        Company::new("Umbrella Corporation", "Unknown"),
        Company::new("Ovintiv", "Doug Suttles"),
        Company::new("The Red-Headed League", ""),
        Company::new("Stark Enterprises", ""),
    ];

    let mut results_vec = vec![]; // Pretend we need to gather error results too

    company_vec
        .iter()
        .for_each(|company| results_vec.push(company.get_ceo().ok_or("No CEO found")));

    for item in results_vec {
        println!("{:?}", item);
    }
}

This line is the biggest change:

// 🚧
.for_each(|company| results_vec.push(company.get_ceo().ok_or("No CEO found")));

It means: "For each company, use get_ceo(). If you get it, then pass on the value inside Ok. And if you don't, pass on "No CEO found" inside Err. Then push this into the vec."

So when we print results_vec we get this:

Ok("Unknown")
Ok("Doug Suttles")
Err("No CEO found")
Err("No CEO found")

So now we have all four entries. Now let's use .ok_or_else() so we can use a closure and get a better error message. Now we have space to use format! to create a String, and put the company name in that. Then we return the String.

// 🚧
company_vec.iter().for_each(|company| {
    results_vec.push(company.get_ceo().ok_or_else(|| {
        let err_message = format!("No CEO found for {}", company.name);
        err_message
    }))
});

This gives us:

Ok("Unknown")
Ok("Doug Suttles")
Err("No CEO found for The Red-Headed League")
Err("No CEO found for Stark Enterprises")

.and_then() is a helpful message that takes an Option, then lets you do something to its value and pass it on. So its input is an Option, and its output is also an Option. It is sort of like a safe "unwrap, then do something, then wrap again".

An easy example is a number that we get from a vec using .get(), because that returns an Option. Now we can pass it to and_then(), and do some math on it if it is Some. If it is None, then the None just gets passed through.

fn main() {
    let new_vec = vec![8, 9, 0]; // just a vec with numbers

    let number_to_add = 5; // use this in the math later
    let mut empty_vec = vec![]; // results go in here


    for index in 0..5 {
        empty_vec.push(
            new_vec
               .get(index) 
                .and_then(|number| Some(number + 1)) 
                .and_then(|number| Some(number + number_to_add))
        );
    }
    println!("{:?}", empty_vec);
}

This prints [Some(14), Some(15), Some(6), None, None]. You can see that None isn't filtered out, just passed on.

.and() is sort of like a bool for Option. You can match many Options to each other, and if they are all Some then it will give the last one. And if one of them is a None, then it will give None.

First here is a bool example to help imagine. You can see that if you are using && (and), even one false makes everything false.

fn main() {
    let one = true;
    let two = false;
    let three = true;
    let four = true;

    println!("{}", one && three); // prints true
    println!("{}", one && two && three && four); // prints false
}

Now here is the same thing with .and(). Imagine we did five operations and put the results in a Vec<Option<&str>>. If we get a value, we push Some("success!") to the vec. Then we do this two more times. After that we use .and() to only show the indexes that got Some every time.

fn main() {
    let first_try = vec![Some("success!"), None, Some("success!"), Some("success!"), None];
    let second_try = vec![None, Some("success!"), Some("success!"), Some("success!"), Some("success!")];
    let third_try = vec![Some("success!"), Some("success!"), Some("success!"), Some("success!"), None];

    for i in 0..first_try.len() {
        println!("{:?}", first_try[i].and(second_try[i]).and(third_try[i]));
    }
}

This prints:

None
None
Some("success!")
Some("success!")
None

The first one (index 0) is None because there is a None for index 0 in second_try. The second is None because there is a None in first_try. The next is Some("success!") because there is no None for first_try, second try, or third_try.

.any() and .all() are very easy to use in iterators. They return a bool depending on your input. In this example we make a very large vec (about 20,000 items) with all the characters from 'a' to '働'. Then we make a function to check if a character is inside it.

Next we make a smaller vec and ask it whether it is all alphabetic (with .is_alphabetic()). Then we ask it if all the characters are less than the Korean character '행'.

Also note that you put a reference in, because .iter() gives a reference and you need a & to compare with another &.

fn in_char_vec(char_vec: &Vec<char>, check: char) {
    println!("Is {} inside? {}", check, char_vec.iter().any(|&char| char == check));
}

fn main() {
    let char_vec = ('a'..'働').collect::<Vec<char>>();
    in_char_vec(&char_vec, 'i');
    in_char_vec(&char_vec, '뷁');
    in_char_vec(&char_vec, '鑿');

    let smaller_vec = ('A'..'z').collect::<Vec<char>>();
    println!("All alphabetic? {}", smaller_vec.iter().all(|&x| x.is_alphabetic()));
    println!("All less than the character 행? {}", smaller_vec.iter().all(|&x| x < '행'));
}

This prints:

Is i inside? true
Is 뷁 inside? false
Is 鑿 inside? false
All alphabetic? false
All less than the character 행? true

By the way, .any() only checks until it finds one matching item, and then it stops. It won't check them all if it has already found a match. If you are going to use .any() on a Vec, it might be a good idea to push the items that might match near the front. Or you can use .rev() after .iter() to reverse the iterator. Here's one vec like that:

fn main() {
    let mut big_vec = vec![6; 1000];
    big_vec.push(5);
}

So this Vec has 1000 6 followed by one 5. Let's pretend that we want to use .any() to see if anything is 5. First let's make sure that .rev() is working. Remember, an Iterator always has .next() that lets you check what it does every time.

fn main() {
    let mut big_vec = vec![6; 1000];
    big_vec.push(5);

    let mut iterator = big_vec.iter().rev();
    println!("{:?}", iterator.next());
    println!("{:?}", iterator.next());
}

It prints:

Some(5)
Some(6)

We were right: there is one Some(5) and then the 1000 Some(6) start. So we can write this:

fn main() {
    let mut big_vec = vec![6; 1000];
    big_vec.push(5);

    println!("{:?}", big_vec.iter().rev().any(|&number| number == 5));
}

And because it's .rev(), it only calls .next() one time and stops. If we don't use .rev() then it will call .next() 1001 times before it stops. This code shows it:

fn main() {
    let mut big_vec = vec![6; 1000];
    big_vec.push(5);

    let mut counter = 0; // Start counting
    let mut big_iter = big_vec.into_iter(); // Make it an Iterator
    
    loop {
        counter +=1;
        if big_iter.next() == Some(5) { // Keep calling .next() until we get Some(5)
            break;
        }
    }
    println!("Final counter is: {}", counter);
}

.find() tells you if an iterator has something, and .position() tells you where it is. .find() is different from .any() because it returns an Option with the value inside (or None). Meanwhile, .position() is also an Option with the position number, or None. In other words:

.find(): "I'll try to get it for you"
.position(): "I'll try to find where it is for you"

Here is a simple example:

fn main() {
    let num_vec = vec![10, 20, 30, 40, 50, 60, 70, 80, 90, 100];
    
    println!("{:?}", num_vec.iter().find(|&number| number % 3 == 0)); // find takes a reference, so we give it &number
    println!("{:?}", num_vec.iter().find(|&number| number * 2 == 30));

    println!("{:?}", num_vec.iter().position(|&number| number % 3 == 0));
    println!("{:?}", num_vec.iter().position(|&number| number * 2 == 30));

}

This prints:

Some(30) // This is the number itself
None // No number inside times 2 == 30
Some(2) // This is the position
None

With .cycle() you can create an iterator that doesn't stop. This type of iterator works well with .zip() to create something new, like this example which creates a Vec<(i32, &str)>:

fn main() {
    let even_odd = vec!["even", "odd"];
    let even_odd_vec = (0..6)
        .zip(even_odd.into_iter().cycle())
        .collect::<Vec<(i32, &str)>>();
    println!("{:?}", even_odd_vec);
}

So even though .cycle() might never end, the other iterator only runs six times when zipping them together. That means that the iterator made by .cycle() doesn't get a .next() call again so it is done. The output is:

[(0, "even"), (1, "odd"), (2, "even"), (3, "odd"), (4, "even"), (5, "odd")]

Something similar can be done with a range that doesn't have an ending. If you write 0.. then you create a range that never stops. You can use this very easily:

fn main() {
    let ten_chars = ('a'..).take(10).collect::<Vec<char>>();
    let skip_then_ten_chars = ('a'..).skip(1300).take(10).collect::<Vec<char>>();

    println!("{:?}", ten_chars);
    println!("{:?}", skip_then_ten_chars);
}

Both print ten characters, but the second one skipped 1300 places and prints ten letters in Armenian.

['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j']
['յ', 'ն', 'շ', 'ո', 'չ', 'պ', 'ջ', 'ռ', 'ս', 'վ']

Another popular method is called .fold(). This method is used a lot to add together the items in an iterator, but you can also do a lot more. It is somewhat similar to .for_each(). In .fold(), you first add a starting value (if you are adding items together, then 0), then a comma, then the closure. The closure gives you two items: the total so far, and the next item. First here is a simple example showing .fold() to add items together.

fn main() {
    let some_numbers = vec![9, 6, 9, 10, 11];

    println!(
        "{}",
        some_numbers
            .iter()
            .fold(0, |total_so_far, next_number| total_so_far + next_number)
    );
}

So:

on step 1 it starts with 0 and adds the next number: 9.
Then it takes that 9 and adds the 6: 15.
Then it takes that 15, and adds the 9: 24.
Then it takes that 24, and adds the 10: 34.
Finally it takes that 34, and adds the 11: 45. So it prints 45.

But you don't just need to add things with it. Here is an example where we add a '-' to every character to make a String.

fn main() {
    let a_string = "I don't have any dashes in me.";

    println!(
        "{}",
        a_string 
            .chars() // Now it's an iterator
            .fold("-".to_string(), |mut string_so_far, next_char| { // Start with a String "-". Bring it in as mutable each time along with the next char
                string_so_far.push(next_char); // Push the char on, then '-'
                string_so_far.push('-');
                string_so_far} // Don't forget to pass it on to the next loop
            ));
}

This prints:

-I- -d-o-n-'-t- -h-a-v-e- -a-n-y- -d-a-s-h-e-s- -i-n- -m-e-.-

There are many other convenient methods like:

.take_while() which takes into an iterator as long as it gets true (take while x > 5 for example)
.cloned() which makes a clone inside the iterator. This turns a reference into a value.
.by_ref() which makes an iterator take a reference. This is good to make sure that you can use a Vec or something similar after you use it to make an iterator.
Many other _while methods: .skip_while(), .map_while(), and so on
.sum(): adds everything together.

.chunks() and .windows() are two ways of cutting up a vector into a size you want. You put the size you want into the brackets. Let's say you have a vector with 10 items, and you want a size of 3. It will work like this:

.chunks() will give you four slices: [0, 1, 2], then [3, 4, 5], then [6, 7, 8], and finally [9]. So it will try to make a slice of three items, but if it doesn't have three then it won't panic. It will just give you what is left.

.windows() will first give you a slice of [0, 1, 2]. Then it will move over one and give you [1, 2, 3]. It will do that until it finally reaches the last slice of three and stop.

So let's use them on a simple vector of numbers. It looks like this:

fn main() {
    let num_vec = vec![1, 2, 3, 4, 5, 6, 7, 8, 9, 0];

    for chunk in num_vec.chunks(3) {
        println!("{:?}", chunk);
    }
    println!();
    for window in num_vec.windows(3) {
        println!("{:?}", window);
    }
}

This prints:

[1, 2, 3]
[4, 5, 6]
[7, 8, 9]
[0]

[1, 2, 3]
[2, 3, 4]
[3, 4, 5]
[4, 5, 6]
[5, 6, 7]
[6, 7, 8]
[7, 8, 9]

By the way, .chunks() will panic if you give it nothing. You can write .chunks(1000) for a vector with one item, but you can't write .chunks() with anything with a length of 0. You can see that right in the function if you click on [src] because it says assert!(chunk_size != 0);.

The dbg! macro and .inspect

dbg! is a very useful macro that prints quick information. Sometimes you use it instead of println! because it is faster to type:

fn main() {
    let my_number = 8;
    dbg!(my_number);
}

This prints [src\main.rs:4] my_number = 8.

But actually, you can put dbg! in many other places. Look at this code for example:

fn main() {
    let mut my_number = 9;
    my_number += 10;

    let new_vec = vec![8, 9, 10];

    let double_vec = new_vec.iter().map(|x| x * 2).collect::<Vec<i32>>();
}

This code creates a new mutable number and changes it. Then it creates a vec, and uses iter and map and collect to create a new vec. We can put dbg! almost everywhere in this code. dbg! asks the compiler: "What are you doing here?"

fn main() {
    let mut my_number = dbg!(9);
    dbg!(my_number += 10);

    let new_vec = dbg!(vec![8, 9, 10]);

    let double_vec = dbg!(new_vec.iter().map(|x| x * 2).collect::<Vec<i32>>());

    dbg!(double_vec);
}

So this prints:

[src\main.rs:3] 9 = 9

and:

[src\main.rs:4] my_number += 10 = ()

and:

[src\main.rs:6] vec![8, 9, 10] = [
    8,
    9,
    10,
]

and:

[src\main.rs:8] new_vec.iter().map(|x| x * 2).collect::<Vec<i32>>() = [
    16,
    18,
    20,
]

and:

[src\main.rs:10] double_vec = [
    16,
    18,
    20,
]

.inspect is a bit similar to dbg! but you use it like map. For example, let's look at our double_vec again.

fn main() {
    let new_vec = vec![8, 9, 10];

    let double_vec = new_vec
        .iter()
        .map(|x| x * 2)
        .collect::<Vec<i32>>();
}

We want to know more information about what the code is doing. So we add inspect in two places:

fn main() {
    let new_vec = vec![8, 9, 10];

    let double_vec = new_vec
        .iter()
        .inspect(|first_item| println!("The item is: {}", first_item))
        .map(|x| x * 2)
        .inspect(|next_item| println!("Then it is: {}", next_item))
        .collect::<Vec<i32>>();
}

This prints:

The item is: 8
Then it is: 16
The item is: 9
Then it is: 18
The item is: 10
Then it is: 20

And because .inspect takes a closure, we can write as much as we want:

fn main() {
    let new_vec = vec![8, 9, 10];

    let double_vec = new_vec
        .iter()
        .inspect(|first_item| {
            println!("The item is: {}", first_item);
            match **first_item % 2 { // first item is a &&i32 so we use **
                0 => println!("It is even."),
                _ => println!("It is odd."),
            }
            println!("In binary it is {:b}.", first_item);
        })
        .map(|x| x * 2)
        .collect::<Vec<i32>>();
}

This prints:

The item is: 8
It is even.
In binary it is 1000.
The item is: 9
It is odd.
In binary it is 1001.
The item is: 10
It is even.
In binary it is 1010.

Types of &str

There is more than one type of &str. We have:

String literals: you make these when you write let my_str = "I am a &str". They last for the whole program, because they are written directly into the binary. They have the type &'static str. ' means its lifetime, and string literal have a lifetime called static.
Borrowed str: This is the regular &str form without a static lifetime. If you create a String and get a reference to it, Rust will convert it to a &str when you need it. For example:

fn main() {
    let my_string = String::from("I am a string");
    prints_str(&my_string); // we give prints_str a &String
}

fn prints_str(my_str: &str) { // it can use &String like a &str
    println!("{}", my_str);
}

So what is a lifetime?

Lifetimes

A lifetime means "how long the variable lives". You only need to think about lifetimes with references. This is because references can't live longer than the object they come from. For example, this function does not work:

fn returns_reference() -> &str {
    let my_string = String::from("I am a string");
    &my_string // ⚠️
}

fn main() { }

The problem is that my_string only lives inside returns_reference. We try to return &my_string, but &my_string can't exist without my_string. So the compiler says no.

This code also doesn't work:

fn main() {
    let my_str = returns_str();
    println!("{}", my_str);
}

fn returns_str() -> &str {
    let my_string = String::from("I am a string");
    "I am a str" // ⚠️
}

But it almost works. The compiler says:

error[E0106]: missing lifetime specifier
 --> src\main.rs:6:21
  |
6 | fn returns_str() -> &str {
  |                     ^ expected named lifetime parameter
  |
  = help: this function's return type contains a borrowed value, but there is no value for it to be borrowed from
help: consider using the `'static` lifetime
  |
6 | fn returns_str() -> &'static str {
  |                     ^^^^^^^^

missing lifetime specifier means that we need to add a ' with the lifetime. Then it says that it contains a borrowed value, but there is no value for it to be borrowed from. That means that I am a str isn't borrowed from anything. It says consider using the 'static lifetime by writing &'static str. So it thinks we should try saying that this is a string literal.

Now it works:

fn main() {
    let my_str = returns_str();
    println!("{}", my_str);
}

fn returns_str() -> &'static str {
    let my_string = String::from("I am a string");
    "I am a str"
}

So now fn returns_str() -> &'static str tells Rust: "don't worry, we will only return a string literal". String literals live for the whole program, so Rust is happy.

But 'static is not the only lifetime. Actually, every variable has a lifetime, but usually we don't have to write it. We only have to write the lifetime when the compiler doesn't know.

Here is an example of another lifetime. Imagine we want to create a City struct and give it a &str for the name. Later we will have many more &strs because we need faster performance than with String. So we write it like this, but it won't work:

#[derive(Debug)]
struct City {
    name: &str, // ⚠️
    date_founded: u32,
}

fn main() {
    let my_city = City {
        name: "Ichinomiya",
        date_founded: 1921,
    };
}

The compiler says:

error[E0106]: missing lifetime specifier
 --> src\main.rs:3:11
  |
3 |     name: &str,
  |           ^ expected named lifetime parameter
  |
help: consider introducing a named lifetime parameter
  |
2 | struct City<'a> {
3 |     name: &'a str,
  |

Rust needs a lifetime for &str because &str is a reference. What happens when the value that name points to is dropped? That would be unsafe.

What about 'static, will that work? We used it before. Let's try:

#[derive(Debug)]
struct City {
    name: &'static str, // change &str to &'static str
    date_founded: u32,
}

fn main() {
    let my_city = City {
        name: "Ichinomiya",
        date_founded: 1921,
    };

    println!("{} was founded in {}", my_city.name, my_city.date_founded);
}

Okay, that works. And maybe this is what you wanted for the struct. However, note that we can only take "string literals", so not references to something else. So this will not work:

#[derive(Debug)]
struct City {
    name: &'static str, // must live for the whole program
    date_founded: u32,
}

fn main() {
    let city_names = vec!["Ichinomiya".to_string(), "Kurume".to_string()]; // city_names does not live for the whole program

    let my_city = City {
        name: &city_names[0], // ⚠️ This is a &str, but not a &'static str. It is a reference to a value inside city_names
        date_founded: 1921,
    };

    println!("{} was founded in {}", my_city.name, my_city.date_founded);
}

The compiler says:

error[E0597]: `city_names` does not live long enough
  --> src\main.rs:12:16
   |
12 |         name: &city_names[0],
   |                ^^^^^^^^^^
   |                |
   |                borrowed value does not live long enough
   |                requires that `city_names` is borrowed for `'static`
...
18 | }
   | - `city_names` dropped here while still borrowed

So now we will try what the compiler suggested before. It said to try writing struct City<'a> and name: &'a str. This means that it will only take a reference for name if it lives as long as City.

#[derive(Debug)]
struct City<'a> { // City has lifetime 'a
    name: &'a str, // and name also has lifetime 'a.
    date_founded: u32,
}

fn main() {
    let city_names = vec!["Ichinomiya".to_string(), "Kurume".to_string()];

    let my_city = City {
        name: &city_names[0],
        date_founded: 1921,
    };

    println!("{} was founded in {}", my_city.name, my_city.date_founded);
}

Also remember that you can write anything instead of 'a if you want:

#[derive(Debug)]
struct City<'city> { // The lifetime is now called 'city
    name: &'city str, // and name has the 'city lifetime
    date_founded: u32,
}

fn main() { }

So usually you will write 'a, 'b, 'c etc. because it is quick and the usual way to write. But you can always change it if you want.

Also remember this important fact: 'a etc. don't change the actual lifetime of variables. They are like traits for generics. Remember when we wrote generics? For example:

use std::fmt::Display;

fn prints<T: Display>(input: T) {
    println!("T is {}", input);
}

fn main() { }

When you write T: Display, it means "please only take T if it has Display". It does not mean: "I am giving Display to T".

The same is true for lifetimes. When you write 'a here:

#[derive(Debug)]
struct City<'a> {
    name: &'a str,
    date_founded: u32,
}

fn main() { }

It means "please only take an input for name if it lives at least as long as City". It does not mean: "I will make the input for name live as long as City".

Interior mutability

Cell

Interior mutability means having a little bit of mutability on the inside. Rust has some ways to let you safely change values inside of a struct that is immutable. First, let's look at a simple example where we would want this. Imagine a struct called PhoneModel with many fields:

struct PhoneModel {
    company_name: String,
    model_name: String,
    screen_size: f32,
    memory: usize,
    date_issued: u32,
    on_sale: bool,
}

fn main() {
    let super_phone_3000 = PhoneModel {
        company_name: "YY Electronics".to_string(),
        model_name: "Super Phone 3000".to_string(),
        screen_size: 7.5,
        memory: 4_000_000,
        date_issued: 2020,
        on_sale: true,
    };

}

It is better for the fields in PhoneModel to be immutable, because we don't want the data to change. The date_issued and screen_size never change, for example.

But inside is one field called on_sale. A phone model will first be on sale (true), but later the company will stop selling it. Can we make just this one field mutable? Because we don't want to write let mut super_phone_3000. If we do, then every field will become mutable.

Rust has many ways to allow some safe mutability inside of something that is immutable. The most simple is called Cell. First we use use std::cell::Cell so that we can just write Cell instead of std::cell::Cell every time.

Then we change on_sale: bool to on_sale: Cell<bool>. Now it is a bool inside of the Cell.

Cell has a method called .set() where you can change the value. We use .set() to change on_sale: true to on_sale: Cell::new(true).

use std::cell::Cell;

struct PhoneModel {
    company_name: String,
    model_name: String,
    screen_size: f32,
    memory: usize,
    date_issued: u32,
    on_sale: Cell<bool>,
}

fn main() {
    let super_phone_3000 = PhoneModel {
        company_name: "YY Electronics".to_string(),
        model_name: "Super Phone 3000".to_string(),
        screen_size: 7.5,
        memory: 4_000_000,
        date_issued: 2020,
        on_sale: Cell::new(true),
    };

    // 10 years later, super_phone_3000 is not on sale anymore
    super_phone_3000.on_sale.set(false);
}

Cell works for all types, but works best for simple Copy types because it gives values, not references. Cell has a method called get() for example that only works on Copy types.

Another type you can use is RefCell.

RefCell

A RefCell is another way to change values without needing to declare mut. It is like a Cell but uses references instead of copies.

We will create a User struct. So far you can see that it is similar to Cell:

use std::cell::RefCell;

#[derive(Debug)]
struct User {
    id: u32,
    year_registered: u32,
    username: String,
    active: RefCell<bool>,
    // Many other fields
}

fn main() {
    let user_1 = User {
        id: 1,
        year_registered: 2020,
        username: "User 1".to_string(),
        active: RefCell::new(true),
    };

    println!("{:?}", user_1.active);
}

This prints RefCell { value: true }.

There are many methods for RefCell. Two of them are .borrow() and .borrow_mut(). With these methods, you can do the same thing you do with & and &mut. The rules are the same:

Many borrows is fine,
one mutable borrow is fine,
but mutable and immutable together is not fine.

So changing the value in a RefCell is very easy:

// 🚧
user_1.active.replace(false);
println!("{:?}", user_1.active);

And there are many other methods like replace_with that uses a closure:

// 🚧
let date = 2020;

user_1
    .active
    .replace_with(|_| if date < 2000 { true } else { false });
println!("{:?}", user_1.active);

But you have to be careful with a RefCell, because it checks borrows at runtime, not compilation time. So this will compile:

use std::cell::RefCell;

#[derive(Debug)]
struct User {
    id: u32,
    year_registered: u32,
    username: String,
    active: RefCell<bool>,
    // Many other fields
}

fn main() {
    let user_1 = User {
        id: 1,
        year_registered: 2020,
        username: "User 1".to_string(),
        active: RefCell::new(true),
    };

    let borrow_one = user_1.active.borrow_mut(); // first mutable borrow - okay
    let borrow_two = user_1.active.borrow_mut(); // second mutable borrow - not okay
}

But if you run it, it will immediately panic.

thread 'main' panicked at 'already borrowed: BorrowMutError', C:\Users\mithr\.rustup\toolchains\stable-x86_64-pc-windows-msvc\lib/rustlib/src/rust\src\libcore\cell.rs:877:9
note: run with `RUST_BACKTRACE=1` environment variable to display a backtrace
error: process didn't exit successfully: `target\debug\rust_book.exe` (exit code: 101)

already borrowed: BorrowMutError is the important part. So when you use a RefCell, it is good to compile and run to check.

Mutex

Mutex is another way to change values without declaring mut. Mutex means mutual exclusion, which means "only one at a time". This is why a Mutex is safe, because it only lets one process change it at a time. To do this, it uses .lock(). Lock is like locking a door from the inside. You go into a room, lock the door, and now you can change things inside the room. Nobody else can come in and stop you, because you locked the door.

A Mutex is easier to understand through examples.

use std::sync::Mutex;

fn main() {
    let my_mutex = Mutex::new(5); // A new Mutex<i32>. We don't need to say mut
    let mut mutex_changer = my_mutex.lock().unwrap(); // mutex_changer is a MutexGuard
                                                     // It has to be mut because we will change it
                                                     // Now it has access to the Mutex
                                                     // Let's print my_mutex to see:

    println!("{:?}", my_mutex); // This prints "Mutex { data: <locked> }"
                                // So we can't access the data with my_mutex now,
                                // only with mutex_changer

    println!("{:?}", mutex_changer); // This prints 5. Let's change it to 6.

    *mutex_changer = 6; // mutex_changer is a MutexGuard<i32> so we use * to change the i32

    println!("{:?}", mutex_changer); // Now it says 6
}

But mutex_changer still has a lock. How do we stop it? A Mutex is unlocked when the MutexGuard goes out of scope. "Go out of scope" means the code block is finished. For example:

use std::sync::Mutex;

fn main() {
    let my_mutex = Mutex::new(5);
    {
        let mut mutex_changer = my_mutex.lock().unwrap();
        *mutex_changer = 6;
    } // mutex_changer goes out of scope - now it is gone

    println!("{:?}", my_mutex); // Now it says: Mutex { data: 6 }
}

If you don't want to use a different {} code block, you can use std::mem::drop(mutex_changer). std::mem::drop means "make this go out of scope".

use std::sync::Mutex;

fn main() {
    let my_mutex = Mutex::new(5);
    let mut mutex_changer = my_mutex.lock().unwrap();
    *mutex_changer = 6;
    std::mem::drop(mutex_changer); // drop mutex_changer - it is gone now
                                   // and my_mutex is unlocked

    println!("{:?}", my_mutex); // Now it says: Mutex { data: 6 }
}

You have to be careful with a Mutex because if another variable tries to lock it, it will wait:

use std::sync::Mutex;

fn main() {
    let my_mutex = Mutex::new(5);
    let mut mutex_changer = my_mutex.lock().unwrap(); // mutex_changer has the lock
    let mut other_mutex_changer = my_mutex.lock().unwrap(); // other_mutex_changer wants the lock
                                                            // the program is waiting
                                                            // and waiting
                                                            // and will wait forever.

    println!("This will never print...");
}

One other method is try_lock(). Then it will try once, and if it doesn't get the lock it will give up. Don't do try_lock().unwrap(), because it will panic if it doesn't work. if let or match is better:

use std::sync::Mutex;

fn main() {
    let my_mutex = Mutex::new(5);
    let mut mutex_changer = my_mutex.lock().unwrap();
    let mut other_mutex_changer = my_mutex.try_lock(); // try to get the lock

    if let Ok(value) = other_mutex_changer {
        println!("The MutexGuard has: {}", value)
    } else {
        println!("Didn't get the lock")
    }
}

Also, you don't need to make a variable to change the Mutex. You can just do this:

use std::sync::Mutex;

fn main() {
    let my_mutex = Mutex::new(5);

    *my_mutex.lock().unwrap() = 6;

    println!("{:?}", my_mutex);
}

*my_mutex.lock().unwrap() = 6; means "unlock my_mutex and make it 6". There is no variable that holds it so you don't need to call std::mem::drop. You can do it 100 times if you want - it doesn't matter:

use std::sync::Mutex;

fn main() {
    let my_mutex = Mutex::new(5);

    for _ in 0..100 {
        *my_mutex.lock().unwrap() += 1; // locks and unlocks 100 times
    }

    println!("{:?}", my_mutex);
}

RwLock

RwLock means "read write lock". It is like a Mutex but also like a RefCell. You use .write().unwrap() instead of .lock().unwrap() to change it. But you can also use .read().unwrap() to get read access. It is like RefCell because it follows the rules:

many .read() variables is okay,
one .write() variable is okay,
but more than one .read() or .read() together with .write() is not okay.

The program will run forever if you try to .write() when you can't get access:

use std::sync::RwLock;

fn main() {
    let my_rwlock = RwLock::new(5);

    let read1 = my_rwlock.read().unwrap(); // one .read() is fine
    let read2 = my_rwlock.read().unwrap(); // two .read()s is also fine

    println!("{:?}, {:?}", read1, read2);

    let write1 = my_rwlock.write().unwrap(); // uh oh, now the program will wait forever
}

So we use std::mem::drop, just like in a Mutex.

use std::sync::RwLock;
use std::mem::drop; // We will use drop() many times

fn main() {
    let my_rwlock = RwLock::new(5);

    let read1 = my_rwlock.read().unwrap();
    let read2 = my_rwlock.read().unwrap();

    println!("{:?}, {:?}", read1, read2);

    drop(read1);
    drop(read2); // we dropped both, so we can use .write() now

    let mut write1 = my_rwlock.write().unwrap();
    *write1 = 6;
    drop(write1);
    println!("{:?}", my_rwlock);
}

And you can use try_read() and try_write() too.

use std::sync::RwLock;

fn main() {
    let my_rwlock = RwLock::new(5);

    let read1 = my_rwlock.read().unwrap();
    let read2 = my_rwlock.read().unwrap();

    if let Ok(mut number) = my_rwlock.try_write() {
        *number += 10;
        println!("Now the number is {}", number);
    } else {
        println!("Couldn't get write access, sorry!")
    };
}

Cow

Cow is a very convenient enum. It means "clone on write" and lets you return a &str if you don't need a String, and a String if you need it. (It can also do the same with arrays vs. Vecs, etc.)

To understand it, let's look at the signature. It says:

pub enum Cow<'a, B>
where
    B: 'a + ToOwned + ?Sized,
 {
    Borrowed(&'a B),
    Owned(<B as ToOwned>::Owned),
}

fn main() { }

You know right away that 'a means it works with references. The ToOwned trait means that it is a type that can be turned into an owned type. For example, str is usually a reference (&str) and you can turn it into an owned String.

Next is ?Sized. This means "maybe Sized, but maybe not". Almost every type in Rust is Sized, but types like str are not. That is why we need a & for a str, because the compiler doesn't know the size. So if you want a trait that can use something like a str, you add ?Sized.

Next are enum variants. They are Borrowed and Owned.

Imagine that you have a function that returns Cow<'static, str>. If you tell the function to return "My message".into(), it will look at the type: "My message" is a str. This is a Borrowed type, so it chooses Borrowed(&'a B). So it becomes Cow::Borrowed(&'static str).

And if you give it a format!("{}", "My message".into() then it will look at the type. This time it is a String, because format! makes a String. So this time it will select "Owned".

Here is an example to test Cow. We will put a number into a function that returns a Cow<'static, str>. Depending on the number, it will create a &str or a String. Then it uses .into() to turn it into a Cow. When you do that, it will choose either Cow:::Borrowed or Cow::Owned. Then we will match to see which one it chose.

use std::borrow::Cow;

fn modulo_3(input: u8) -> Cow<'static, str> {
    match input % 3 {
        0 => "Remainder is 0".into(),
        1 => "Remainder is 1".into(),
        remainder => format!("Remainder is {}", remainder).into(),
    }
}

fn main() {
    for number in 1..=6 {
        match modulo_3(number) {
            Cow::Borrowed(message) => println!("{} went in. The Cow is borrowed with this message: {}", number, message),
            Cow::Owned(message) => println!("{} went in. The Cow is owned with this message: {}", number, message),
        }
    }
}

This prints:

1 went in. The Cow is borrowed with this message: Remainder is 1
2 went in. The Cow is owned with this message: Remainder is 2
3 went in. The Cow is borrowed with this message: Remainder is 0
4 went in. The Cow is borrowed with this message: Remainder is 1
5 went in. The Cow is owned with this message: Remainder is 2
6 went in. The Cow is borrowed with this message: Remainder is 0

Cow has some other methods like into_owned or into_borrowed so you can change it if you need to.

Type aliases

A type alias means "giving a new name to another type". Type aliases are very easy. Usually you use them when you have a very long type and don't want to write it every time. It is also good when you want to give a type a better name that is easy to remember. Here are two examples of type aliases.

The type is not difficult, but you want to make your code easier to understand for other people (or for you):

type CharacterVec = Vec<char>;

fn main() { }

The type is very difficult to read:

// this return type is extremely long
fn returns<'a>(input: &'a Vec<char>) -> std::iter::Take<std::iter::Skip<std::slice::Iter<'a, char>>> {
    input.iter().skip(4).take(5)
}

fn main() { }

So you can change it to this:

type SkipFourTakeFive<'a> = std::iter::Take<std::iter::Skip<std::slice::Iter<'a, char>>>;

fn returns<'a>(input: &'a Vec<char>) -> SkipFourTakeFive {
    input.iter().skip(4).take(5)
}

fn main() { }

Of course, you can also import items to make the type shorter:

use std::iter::{Take, Skip};
use std::slice::Iter;

fn returns<'a>(input: &'a Vec<char>) -> Take<Skip<Iter<'a, char>>> {
    input.iter().skip(4).take(5)
}

fn main() { }

So you can decide what looks best in your code depending on what you like.

Note that this doesn't create a new type. If you write type File = String;, the compiler just sees a String. So this will print true:

type File = String;

fn main() {
    let my_file = File::from("I am file contents");
    let my_string = String::from("I am file contents");
    println!("{}", my_file == my_string);
}

If you want a new file type that the compiler sees as a File, you can put it in a struct:

struct File(String); // File is a wrapper around String

fn main() {
    let my_file = File(String::from("I am file contents"));
    let my_string = String::from("I am file contents");
}

Now this will not work, because they are two different types:

struct File(String); // File is a wrapper around String

fn main() {
    let my_file = File(String::from("I am file contents"));
    let my_string = String::from("I am file contents");
    println!("{}", my_file == my_string);  // ⚠️ cannot compare File with String
}

If you want to compare the String inside, you can use my_file.0:

struct File(String);

fn main() {
    let my_file = File(String::from("I am file contents"));
    let my_string = String::from("I am file contents");
    println!("{}", my_file.0 == my_string); // my_file.0 is a String, so this prints true
}

Importing inside a function

Usually you write use at the top of the program, like this:

use std::cell::{Cell, RefCell};

fn main() { }

But you can do this anywhere. Sometimes you see this in functions with enums with long names. Here is an example.

enum MapDirection {
    North,
    NorthEast,
    East,
    SouthEast,
    South,
    SouthWest,
    West,
    NorthWest,
}

fn main() { }

fn give_direction(direction: &MapDirection) {
    match direction {
        MapDirection::North => println!("You are heading north."),
        MapDirection::NorthEast => println!("You are heading northeast."),
        // So much more left to type...
        // ⚠️, as it is not non-exhaustive
    }
}

So now we will import MapDirection inside the function. That means that inside the function you can just write North and so on.

enum MapDirection {
    North,
    NorthEast,
    East,
    SouthEast,
    South,
    SouthWest,
    West,
    NorthWest,
}

fn main() { }

fn give_direction(direction: &MapDirection) {
    use MapDirection::*; // Import everything in MapDirection
    let m = "You are heading";

    match direction {
        North => println!("{} north.", m),
        NorthEast => println!("{} northeast.", m),
        // This is a bit better
        // ⚠️, as it is not non-exhaustive
    }
}

You can see that ::* means "import everything after the ::". In our case, that means North, NorthEast...and all the way to NorthWest. When you import other people's code you can do that too, but if the code is very large you might have problems if you brought in items that have the same name as your functions, structs, etc. A lot of times you see that in other people's code for you to use, and they will have a section called prelude with all the items you probably need. So then you will usually use it like this: name::predule::*. We will talk about this more in the sections for modules and crates.

You can also use as to change the name. For example, maybe you are using someone else's code and you can't change the names in an enum:

enum FileState {
    CannotAccessFile,
    FileOpenedAndReady,
    NoSuchFileExists,
    SimilarFileNameInNextDirectory,
}

fn main() { }

So then you can 1) import everything and 2) change the names:

enum FileState {
    CannotAccessFile,
    FileOpenedAndReady,
    NoSuchFileExists,
    SimilarFileNameInNextDirectory,
}

fn give_filestate(input: &FileState) {
    use FileState::{
        CannotAccessFile as NoAccess,
        FileOpenedAndReady as Good,
        NoSuchFileExists as NoFile,
        SimilarFileNameInNextDirectory as OtherDirectory
    };
    match input {
        NoAccess => println!("Can't access file."),
        Good => println!("Here is your file"),
        NoFile => println!("Sorry, there is no file by that name."),
        OtherDirectory => println!("Please check the other directory."),
    }
}

fn main() { }

So now you can write OtherDirectory instead of FileState::SimilarFileNameInNextDirectory.

The todo! macro

Sometimes you want to write code in general to help you imagine your project. For example, imagine a simple project to do something with books. Here's what you think as you write it:

struct Book {} // Okay, first I need a book struct.
               // Nothing in there yet - will add later

enum BookType { // A book can be hardcover or softcover, so add an enum
    HardCover,
    SoftCover,
}

fn get_book(book: &Book) -> Option<String> {} // ⚠️ get_book should take a &Book and return an Option<String>

fn delete_book(book: Book) -> Result<(), String> {} // delete_book should take a Book and return a Result...
                                                    // TODO: impl block and make these functions methods...
fn check_book_type(book_type: &BookType) { // Let's make sure the match statement works
    match book_type {
        BookType::HardCover => println!("It's hardcover"),
        BookType::SoftCover => println!("It's softcover"),
    }
}

fn main() {
    let book_type = BookType::HardCover;
    check_book_type(&book_type); // Okay, let's check this function!
}

But Rust is not happy with get_book and delete_book. It says:

error[E0308]: mismatched types
  --> src\main.rs:32:29
   |
32 | fn get_book(book: &Book) -> Option<String> {}
   |    --------                 ^^^^^^^^^^^^^^ expected enum `std::option::Option`, found `()`
   |    |
   |    implicitly returns `()` as its body has no tail or `return` expression
   |
   = note:   expected enum `std::option::Option<std::string::String>`
           found unit type `()`

error[E0308]: mismatched types
  --> src\main.rs:34:31
   |
34 | fn delete_book(book: Book) -> Result<(), String> {}
   |    -----------                ^^^^^^^^^^^^^^^^^^ expected enum `std::result::Result`, found `()`
   |    |
   |    implicitly returns `()` as its body has no tail or `return` expression
   |
   = note:   expected enum `std::result::Result<(), std::string::String>`
           found unit type `()`

But you don't care about get_book and delete_book right now. This is where you can use todo!(). If you add that to the function, Rust will not complain, and will compile.

struct Book {}

fn get_book(book: &Book) -> Option<String> {
    todo!() // todo means "I will do it later, please be quiet"
}

fn delete_book(book: Book) -> Result<(), String> {
    todo!()
}

fn main() { }

So now the code compiles and you can see the result of check_book_type: It's hardcover.

If you call a function with todo!() inside it, it will panic.

Also, todo!() functions still need real input and output types. If you just write this, it will not compile:

struct Book {}

fn get_book(book: &Book) -> WorldsBestType { // ⚠️
    todo!()
}

fn main() { }

It will say:

error[E0412]: cannot find type `WorldsBestType` in this scope
  --> src\main.rs:32:29
   |
32 | fn get_book(book: &Book) -> WorldsBestType {
   |                             ^^^^^^^^^^^^^^ not found in this scope

todo!() is actually the same as another macro: unimplemented!(). Programmers were using unimplemented() a lot but it was long to type, so they created todo!() which is shorter.

Rc

Rc means "reference counter". You know that in Rust, every variable can only have one owner. That is why this doesn't work:

fn main() {
    let user_name = String::from("User MacUserson");

    takes_a_string(user_name);
    also_takes_a_string(user_name); // ⚠️
}

fn takes_a_string(input: String) {
    println!("It is: {}", input)
}

fn also_takes_a_string(input: String) {
    println!("It is: {}", input)
}

After takes_a_string takes user_name, you can't use it anymore. Here that is no problem: you can just give it user_name.clone(). But sometimes a variable is part of a struct, and maybe you can't clone the struct. Or maybe the String is really long and you don't want to clone it. These are some reasons for Rc, which lets you have more than one owner. An Rc is like a good office worker: Rc writes down who has ownership, and how many. Then once the number of owners goes down to 0, the variable can disappear.

Here's how you use an Rc. First imagine two structs: one called City, and another called Cities. City has information for one city, and Cities puts all the cities together in Vecs.

#[derive(Debug)]
struct City {
    name: String,
    population: u32,
    city_history: String,
}

#[derive(Debug)]
struct CityData {
    names: Vec<String>,
    histories: Vec<String>,
}

fn main() {
    let calgary = City {
        name: "Calgary".to_string(),
        population: 1_200_000,
           // Pretend that this string is very very long
        city_history: "Calgary began as a fort called Fort Calgary that...".to_string(),
    };

    let canada_cities = CityData {
        names: vec![calgary.name], // This is using calgary.name, which is short
        histories: vec![calgary.city_history], // But this String is very long
    };

    println!("Calgary's history is: {}", calgary.city_history);  // ⚠️
}

Of course, it doesn't work because canada_cities now owns the data and calgary doesn't. We can clone the name: names: vec![calgary.name.clone()] but we don't want to clone the city_history, which is long. So we can use an Rc.

Add the use declaration:

use std::rc::Rc;

fn main() { }

Then put Rc around String.

use std::rc::Rc;

#[derive(Debug)]
struct City {
    name: String,
    population: u32,
    city_history: Rc<String>,
}

#[derive(Debug)]
struct Cities {
    names: Vec<String>,
    histories: Vec<Rc<String>>,
}

fn main() { }

To add a new reference, you have to clone the Rc. You can clone an item with item.clone() or with Rc::clone(&item). So calgary.city_history has 2 owners. We can check the number of owners with Rc::strong_count(&item). Also let's add a new owner. Now our code looks like this:

use std::rc::Rc;

#[derive(Debug)]
struct City {
    name: String,
    population: u32,
    city_history: Rc<String>, // String inside an Rc
}

#[derive(Debug)]
struct CityData {
    names: Vec<String>,
    histories: Vec<Rc<String>>, // A Vec of Strings inside Rcs
}

fn main() {
    let calgary = City {
        name: "Calgary".to_string(),
        population: 1_200_000,
           // Pretend that this string is very very long
        city_history: Rc::new("Calgary began as a fort called Fort Calgary that...".to_string()), // Rc::new() to make the Rc
    };

    let canada_cities = CityData {
        names: vec![calgary.name],
        histories: vec![calgary.city_history.clone()], // .clone() to increase the count
    };

    println!("Calgary's history is: {}", calgary.city_history);
    println!("{}", Rc::strong_count(&calgary.city_history));
    let new_owner = calgary.city_history.clone();
}

This prints 2. new_owner is now an Rc<String>. Now if we use println!("{}", Rc::strong_count(&calgary.city_history));, we get 3.

So if there are strong pointers, are there weak pointers? Yes, there are. Weak pointers are useful because if two Rcs point at each other, they can't die. This is called a "reference cycle". If item 1 has an Rc to item 2, and item 2 has an Rc to item 1, they can't get to 0. In this case you want to use weak references. Rc will count the references, but if it only has weak references then it can die. You use Rc::downgrade(&item) instead of Rc::clone(&item) to make weak references. Also, you use Rc::weak_count(&item) to see the weak count.

Multiple threads

If you use multiple threads, you can do many things at the same time. Rust uses threads that are called "OS threads". OS thread means the operating system creates the thread on a different core.

You create threads with std::thread::spawn and then a closure to tell it what to do. Threads are interesting because they run at the same time. Here is a simple example:

fn main() {
    std::thread::spawn(|| {
        println!("I am printing something");
    });
}

If you run this, it will be different every time. Sometimes it will print, and sometimes it won't print. That is because sometimes main() finishes before the thread finishes. And when main() finishes, the program is over. This is easier to see in a for loop:

fn main() {
    for _ in 0..10 { // set up ten threads
        std::thread::spawn(|| {
            println!("I am printing something");
        });
    }   // Now the threads start.
}       // How many can finish before main() ends here?

Usually about four threads will print before main ends, but it is always different. Also, sometimes the threads will panic:

thread 'thread 'I am printing something
thread '<unnamed><unnamed>thread '' panicked at '<unnamed>I am printing something
' panicked at 'thread '<unnamed>cannot access stdout during shutdown' panicked at '<unnamed>thread 'cannot access stdout during
shutdown

This is the error when the thread tries to do something right when the program is shutting down.

You can give the computer something to do so it won't shut down right away:

fn main() {
    for _ in 0..10 {
        std::thread::spawn(|| {
            println!("I am printing something");
        });
    }
    for _ in 0..1_000_000 { // make the program declare "let x = 9" one million times
        let _x = 9;
    }
}

But that is a silly way to give the threads time to finish. The better way is to bind the threads to a variable. If you add let, then you will create a JoinHandle.

fn main() {
    for _ in 0..10 {
        let handle = std::thread::spawn(|| {
            println!("I am printing something");
        });

    }
}

handle is now a JoinHandle, and it has the method .join(). This method means "wait until all the threads are done" (it waits for the threads to join it). So now just write handle.join() and it will wait for all ten threads to finish.

fn main() {
    for _ in 0..10 {
        let handle = std::thread::spawn(|| {
            println!("I am printing something");
        });

        handle.join(); // Wait for the threads to finish
    }
}

Now we will learn about the three types of closures. The three types are:

FnOnce: takes the whole value
FnMut: takes a mutable reference
Fn: takes a regular reference

A closure will try to use Fn if it can. But if it needs to change the value it will use FnMut, and if it needs to take the whole value, it will use FnOnce. FnOnce is a good name because it explains what it does: it takes the value once, and then it can't take it again.

Here is an example:

fn main() {
    let my_string = String::from("I will go into the closure");
    let my_closure = || println!("{}", my_string);
    my_closure();
    my_closure();
}

String is not Copy, so my_closure() is Fn: it takes a reference.

If we change my_string, it will be FnMut.

fn main() {
    let mut my_string = String::from("I will go into the closure");
    let mut my_closure = || {
        my_string.push_str(" now");
        println!("{}", my_string);
    };
    my_closure();
    my_closure();
}

This prints:

I will go into the closure now
I will go into the closure now now

And if you take by value, then it will be FnOnce.

fn main() {
    let my_vec: Vec<i32> = vec![8, 9, 10];
    let my_closure = || {
        my_vec
            .into_iter() // into_iter takes ownership
            .map(|x| x as u8) // turn it into u8
            .map(|x| x * 2) // multiply by 2
            .collect::<Vec<u8>>() // collect into a Vec
    };
    let new_vec = my_closure();
    println!("{:?}", new_vec);
}

We took by value, so we can't run my_closure() more than once. That is where the name comes from.

So now back to threads. Let's try to use a value from outside:

fn main() {
    let mut my_string = String::from("Can I go inside the thread?");

    let handle = std::thread::spawn(|| {
        println!("{}", my_string); // ⚠️
    });

    handle.join();
}

The compiler says that this won't work.

error[E0373]: closure may outlive the current function, but it borrows `my_string`, which is owned by the current function
  --> src\main.rs:28:37
   |
28 |     let handle = std::thread::spawn(|| {
   |                                     ^^ may outlive borrowed value `my_string`
29 |         println!("{}", my_string);
   |                        --------- `my_string` is borrowed here
   |
note: function requires argument type to outlive `'static`
  --> src\main.rs:28:18
   |
28 |       let handle = std::thread::spawn(|| {
   |  __________________^
29 | |         println!("{}", my_string);
30 | |     });
   | |______^
help: to force the closure to take ownership of `my_string` (and any other referenced variables), use the `move` keyword
   |
28 |     let handle = std::thread::spawn(move || {
   |                                     ^^^^^^^

It is a long message, but helpful: it says to use the `move` keyword. The problem is that we can do anything to my_string while the thread is using it. That would be unsafe.

fn main() {
    let mut my_string = String::from("Can I go inside the thread?");

    let handle = std::thread::spawn(|| {
        println!("{}", my_string); // now my_string is being used as a reference
    });

    std::mem::drop(my_string);  // ⚠️ Maybe we drop it. But the thread still needs it.

    handle.join();
}

So you have to take the value with move. Now it is safe:

fn main() {
    let mut my_string = String::from("Can I go inside the thread?");

    let handle = std::thread::spawn(move|| {
        println!("{}", my_string);
    });

    std::mem::drop(my_string);  // ⚠️ we can't drop, because handle has it. So this won't work

    handle.join();
}

So we delete the std::mem::drop, and now it is okay. handle takes my_string and our code is safe.

fn main() {
    let mut my_string = String::from("Can I go inside the thread?");

    let handle = std::thread::spawn(move|| {
        println!("{}", my_string);
    });

    handle.join();
}

So just remember: if you need a value in a thread from outside the thread, you need to use move.

Closures in functions

You can make your own functions that take closures, but inside a function it is less free and you have to decide the type of closure. Outside a function a closure can decide by itself between Fn, FnMut and FnOnce, but inside you have to choose one. The best way to understand is to look at a few function signatures. Here is the one for .all(), which we know checks an iterator to see if everything is true (depending on what you decide is true or false). Part of its signature says this:

    fn all<F>(&mut self, f: F) -> bool    // 🚧
    where
        F: FnMut(Self::Item) -> bool,

fn all<F>: this tells you that there is a generic type F. A closure is always generic because every time it is a different type.

(&mut self, f: F): &mut self tells you that it's a method. f: F is usually what you see for a closure: this is the variable name and the type. Of course, there is nothing special about f and F and they could be different names. But in signatures you always always see f: F.

Next is the part about the closure: F: FnMut(Self::Item) -> bool. Here it decides that the closure is FnMut, so it can change the values. It changes the values of Self::Item, which is the iterator that it takes. And it has to return a bool.

Here is a much simpler signature with a closure:

fn do_something<F>(f: F)    // 🚧
where
    F: FnOnce(),
{
    f();
}

This just says that it takes a closure, takes the value (FnOnce = takes the value), and doesn't return anything. So now we can call this closure that takes nothing and do whatever we like. We will create a Vec and then iterate over it just to show what we can do now.

fn do_something<F>(f: F)
where
    F: FnOnce(),
{
    f();
}

fn main() {
    do_something(|| {
        let some_vec = vec![9, 8, 10];
        some_vec
            .iter()
            .for_each(|x| println!("The number is: {}", x));
    })
}

For a more real example, we will create a City struct again. This time the City struct has more data about years and populations. It has a Vec<u32> for all the years, and another Vec<u32> for all the populations.

City has two functions: new() to create a new City, and .city_data() which has a closure. When we use .city_data(), it gives us the years and the populations and a closure, so we can do what we want with the data. The closure type is FnMut so we can change the data. It looks like this:

#[derive(Debug)] // So we can print with {:?}
struct City {
    name: String,
    years: Vec<u32>,
    populations: Vec<u32>,
}

impl City {
    fn new(name: &str, years: Vec<u32>, populations: Vec<u32>) -> Self {

        Self {
            name: name.to_string(),
            years,
            populations,
        }
    }

    fn city_data<F>(&mut self, mut f: F) // We bring in self, but only f is generic F. f is the closure

    where
        F: FnMut(&mut Vec<u32>, &mut Vec<u32>), // The closure takes mutable vectors of u32
                                                // which are the year and population data
    {
        f(&mut self.years, &mut self.populations) // Finally this is the actual function. It says
                                                  // "use a closure on self.years and self.populations"
                                                  // We can do whatever we want with the closure
    }
}

fn main() {
    let years = vec![
        1372, 1834, 1851, 1881, 1897, 1925, 1959, 1989, 2000, 2005, 2010, 2020,
    ];
    let populations = vec![
        3_250, 15_300, 24_000, 45_900, 58_800, 119_800, 283_071, 478_974, 400_378, 401_694,
        406_703, 437_619,
    ];
    // Now we can create our city
    let mut tallinn = City::new("Tallinn", years, populations);

    // Now we have a .city_data() method that has a closure. We can do anything we want.

    // First let's put the data for 5 years together and print it.
    tallinn.city_data(|city_years, city_populations| { // We can call the input anything we want
        let new_vec = city_years
            .into_iter()
            .zip(city_populations.into_iter()) // Zip the two together
            .take(5)                           // but only take the first 5
            .collect::<Vec<(_, _)>>(); // Tell Rust to decide the type inside the tuple
        println!("{:?}", new_vec);
    });

    // Now let's add some data for the year 2030
    tallinn.city_data(|x, y| { // This time we just call the input x and y
        x.push(2030);
        y.push(500_000);
    });

    // We don't want the 1834 data anymore
    tallinn.city_data(|x, y| {
        let position_option = x.iter().position(|x| *x == 1834);
        if let Some(position) = position_option {
            println!(
                "Going to delete {} at position {:?} now.",
                x[position], position
            ); // Confirm that we delete the right item
            x.remove(position);
            y.remove(position);
        }
    });

    println!(
        "Years left are {:?}\nPopulations left are {:?}",
        tallinn.years, tallinn.populations
    );
}

This will print the result of all the times we called .city_data(). It is:

[(1372, 3250), (1834, 15300), (1851, 24000), (1881, 45900), (1897, 58800)]
Going to delete 1834 at position 1 now.
Years left are [1372, 1851, 1881, 1897, 1925, 1959, 1989, 2000, 2005, 2010, 2020, 2030]
Populations left are [3250, 24000, 45900, 58800, 119800, 283071, 478974, 400378, 401694, 406703, 437619, 500000]

impl Trait

impl Trait is similar to generics. You remember that generics use a type T (or any other name) which then gets decided when the program compiles. First a concrete type:

fn gives_higher_i32(one: i32, two: i32) {
    let higher = if one > two { one } else { two };
    println!("{} is higher.", higher);
}

fn main() {
    gives_higher_i32(8, 10);
}

This prints: 10 is higher..

But this only takes i32, so now we will make it generic. We need to compare and we need to print with {}, so our type T needs PartialOrd and Display. Remember, this means "only take types that already have PartialOrd and Display".

use std::fmt::Display;

fn gives_higher_i32<T: PartialOrd + Display>(one: T, two: T) {
    let higher = if one > two { one } else { two };
    println!("{} is higher.", higher);
}

fn main() {
    gives_higher_i32(8, 10);
}

Now let's look at impl Trait, which is similar. Instead of a type T, we can bring in a type impl Trait. Then it will take in a type that implements that trait. It is almost the same:

fn prints_it(input: impl Into<String> + std::fmt::Display) { // Takes anything that can turn into a String and has Display
    println!("You can print many things, including {}", input);
}

fn main() {
    let name = "Tuon";
    let string_name = String::from("Tuon");
    prints_it(name);
    prints_it(string_name);
}

However, the more interesting part is that we can return impl Trait, and that lets us return closures because their function signatures are traits. You can see this in the signatures for methods that have them. For example, this is the signature for .map():

fn map<B, F>(self, f: F) -> Map<Self, F>     // 🚧
    where
        Self: Sized,
        F: FnMut(Self::Item) -> B,
    {
        Map::new(self, f)
    }

fn map<B, F>(self, f: F) mean that it takes two generic types. F is a function that takes one item from the container implementing .map() and B is the return type of that function. Then after the where we see the trait bounds. ("Trait bound" means "it must have this trait".) One is Sized, but the next is the closure signature. It must be an FnMut, and do the closure on Self::Item, which is the iterator that you give it. Then it returns B.

So we can do the same thing to return a closure. To return a closure, use impl and then the closure signature. Once you return it, you can use it just like a function. Here is a small example of a function that gives you a closure depending on the number you put in. If you put 2 or 40 in then it multiplies it, and otherwise it gives you the same number. Because it's a closure we can do anything we want, so we also print a message.

fn returns_a_closure(input: u8) -> impl FnMut(i32) -> i32 {
    match input {
        2 => |mut number| {
            number *= 2;
            println!("Your number is {}", number);
            number
        },
        40 => |mut number| {
            number *= 40;
            println!("Your number is {}", number);
            number
        },
        _ => |number| {
            println!("Sorry, it's the same: {}.", number);
            number
        },
    }
}

fn main() {
    let my_number = 10;

	// Make three closures
    let mut give_two = returns_a_closure(2);
    let mut give_forty = returns_a_closure(40);
    let mut give_fifty = returns_a_closure(50);

    give_two(my_number);
    give_forty(my_number);
    give_fifty(my_number);
}

Here is a bit longer example. Let's imagine a game where your character is facing monsters that are stronger at night. We can make an enum called TimeOfDay to keep track of the day. Your character is named Simon and has a number called character_fear, which is an f64. It goes up at night and down during the day. We will create a function called change_fear that changes the fear, but also does some other things like write messages. It could look like this:

enum TimeOfDay { // just a simple enum
    Dawn,
    Day,
    Sunset,
    Night,
}

fn change_fear(input: TimeOfDay) -> impl FnMut(f64) -> f64 { // The function takes a TimeOfDay. It returns a closure.
                                                             // We use impl FnMut(64) -> f64 to say that it needs to
                                                             // change the value, and also gives the same type back.
    use TimeOfDay::*; // So we only have to write Dawn, Day, Sunset, Night
                      // Instead of TimeOfDay::Dawn, TimeOfDay::Day, etc.
    match input {
        Dawn => |x| { // This is the variable character_fear that we give it later
            println!("The morning sun has vanquished the horrible night. You no longer feel afraid.");
            println!("Your fear is now {}", x * 0.5);
            x * 0.5
        },
        Day => |x| {
            println!("What a nice day. Maybe put your feet up and rest a bit.");
            println!("Your fear is now {}", x * 0.2);
            x * 0.2
        },
        Sunset => |x| {
            println!("The sun is almost down! This is no good.");
            println!("Your fear is now {}", x * 1.4);
            x * 1.4
        },
        Night => |x| {
            println!("What a horrible night to have a curse.");
            println!("Your fear is now {}", x * 5.0);
            x * 5.0
        },
    }
}

fn main() {
    use TimeOfDay::*;
    let mut character_fear = 10.0; // Start Simon with 10

    let mut daytime = change_fear(Day); // Make four closures here to call every time we want to change Simon's fear.
    let mut sunset = change_fear(Sunset);
    let mut night = change_fear(Night);
    let mut morning = change_fear(Dawn);
    
    character_fear = daytime(character_fear); // Call the closures on Simon's fear. They give a message and change the fear number.
                                              // In real life we would have a Character struct and use it as a method instead,
                                              // like this: character_fear.daytime()
    character_fear = sunset(character_fear);
    character_fear = night(character_fear);
    character_fear = morning(character_fear);
}

Arc

You remember that we used an Rc to give a variable more than one owner. If we are doing the same thing in a thread, we need an Arc. Arc means "atomic reference counter". Atomic means that it uses the computer's processor so that data only gets written once each time. This is important because if two threads write data at the same time, you will get the wrong result. For example, imagine if you could do this in Rust:

// 🚧
let mut x = 10;

for i in 0..10 { // Thread 1
    x += 1
}
for i in 0..10 { // Thread 2
    x += 1
}

If Thread 1 and Thread 2 just start together, maybe this will happen:

Thread 1 sees 10, writes 11. Then Thread 2 sees 11, writes 12. No problem so far.
Thread 1 sees 12. At the same time, Thread 2 sees 12. Thread 1 writes 13. And Thread 2 writes 13. Now we have 13, but it should be 14.

An Arc uses the processor to make sure this doesn't happen, so it is the method you must use when you have threads. You don't want an Arc for just one thread though, because Rc is a bit faster.

You can't change data with just an Arc though. So you wrap the data in a Mutex, and then you wrap the Mutex in an Arc.

So let's use a Mutex inside an Arc to change the value of a number. First let's set up one thread:

fn main() {

    let handle = std::thread::spawn(|| {
        println!("The thread is working!") // Just testing the thread
    });

    handle.join().unwrap(); // Make the thread wait here until it is done
    println!("Exiting the program");
}

Good. Now let's put it in a for loop for 0..10:

fn main() {

    let handle = std::thread::spawn(|| {
        for _ in 0..10 {
            println!("The thread is working!")
        }
    });

    handle.join().unwrap();
    println!("Exiting the program");
}

Now let's make one more thread. Each thread will do the same thing. You can see that the threads are working at the same time. Sometimes it will say Thread 1 is working! first, but other times Thread 2 is working! is first. This is called concurrency, which means "running together".

fn main() {

    let thread1 = std::thread::spawn(|| {
        for _ in 0..10 {
            println!("Thread 1 is working!")
        }
    });

    let thread2 = std::thread::spawn(|| {
        for _ in 0..10 {
            println!("Thread 2 is working!")
        }
    });

    thread1.join().unwrap();
    thread2.join().unwrap();
    println!("Exiting the program");
}

Now we want to change the value of my_number. Right now it is an i32. We will change it to an Arc<Mutex<i32>>: an i32 that can be changed, protected by an Arc.

// 🚧
let my_number = Arc::new(Mutex::new(0));

Now that we have this, we can clone it. Each clone can go into a different thread. We have two threads, so we will make two clones:

// 🚧
let my_number = Arc::new(Mutex::new(0));

let my_number1 = Arc::clone(&my_number); // This clone goes into Thread 1
let my_number2 = Arc::clone(&my_number); // This clone goes into Thread 2

Now that we have safe clones attached to my_number, we can move them into other threads with no problem.

use std::sync::{Arc, Mutex};

fn main() {
    let my_number = Arc::new(Mutex::new(0));

    let my_number1 = Arc::clone(&my_number);
    let my_number2 = Arc::clone(&my_number);

    let thread1 = std::thread::spawn(move || { // Only the clone goes into Thread 1
        for _ in 0..10 {
            *my_number1.lock().unwrap() +=1; // Lock the Mutex, change the value
        }
    });

    let thread2 = std::thread::spawn(move || { // Only the clone goes into Thread 2
        for _ in 0..10 {
            *my_number2.lock().unwrap() += 1;
        }
    });

    thread1.join().unwrap();
    thread2.join().unwrap();
    println!("Value is: {:?}", my_number);
    println!("Exiting the program");
}

The program prints:

Value is: Mutex { data: 20 }
Exiting the program

So it was a success.

Then we can join the two threads together in a single for loop, and make the code smaller. We need to save the handles so we can call .join() on each one outside of the loop. If we do this inside the loop, it will wait for the first thread to finish before starting the new one.

use std::sync::{Arc, Mutex};

fn main() {
    let my_number = Arc::new(Mutex::new(0));
    let mut handle_vec = vec![];

    for _ in 0..2 { // do this twice
        let my_number_clone = Arc::clone(&my_number); // Make the clone before starting the thread
        let handle = std::thread::spawn(move || {
            for _ in 0..10 {
                *my_number_clone.lock().unwrap() += 1;
            }
        });
        handle_vec.push(handle); // save the handle so we can call join on it outside of the loop
    }

    handle_vec.into_iter().for_each(|handle| handle.join().unwrap()); // call join on all handles
    println!("{:?}", my_number);
}

This looks complicated but Arc<Mutex>> is used very often in Rust, so it becomes natural. Also, you can always write your code to make it cleaner. Here is the same code with one more use statement and two functions. The functions don't do anything new, but they move some code out of main(). You can try rewriting code like this if it is hard to read.

use std::sync::{Arc, Mutex};
use std::thread::spawn; // Now we just write spawn

fn make_arc(number: i32) -> Arc<Mutex<i32>> { // Just a function to make a Mutex in an Arc
    Arc::new(Mutex::new(number))
}

fn new_clone(input: &Arc<Mutex<i32>>) -> Arc<Mutex<i32>> { // Just a function so we can write new_clone
    Arc::clone(&input)
}

// Now main() is easier to read
fn main() {
    let mut handle_vec = vec![]; // each handle will go in here
    let my_number = make_arc(0);

    for _ in 0..2 {
        let my_number_clone = new_clone(&my_number);
        let handle = spawn(move || {
            for _ in 0..10 {
                let mut value_inside = my_number_clone.lock().unwrap();
                *value_inside += 1;
            }
        });
        handle_vec.push(handle);    // the handle is done, so put it in the vector
    }

    handle_vec.into_iter().for_each(|handle| handle.join().unwrap()); // Make each one wait

    println!("{:?}", my_number);
}

Channels

A channel is an easy way to use many threads that send to one place. You can create a channel in Rust with std::sync::mpsc. mpsc means "multiple producer, single consumer", so "many threads sending to one place". To start a channel, you use channel(). This creates a Sender and a Receiver that are tied together. You can see this in the function signature:

// 🚧
pub fn channel<T>() -> (Sender<T>, Receiver<T>)

So you have to choose one name for the sender and one for the receiver. Usually you see let (sender, receiver) = channel(); to start. Because it's generic, Rust won't know the type if that is all you write:

use std::sync::mpsc::channel;

fn main() {
    let (sender, receiver) = channel(); // ⚠️
}

The compiler says:

error[E0282]: type annotations needed for `(std::sync::mpsc::Sender<T>, std::sync::mpsc::Receiver<T>)`
  --> src\main.rs:30:30
   |
30 |     let (sender, receiver) = channel();
   |         ------------------   ^^^^^^^ cannot infer type for type parameter `T` declared on the function `channel`
   |         |
   |         consider giving this pattern the explicit type `(std::sync::mpsc::Sender<T>, std::sync::mpsc::Receiver<T>)`, where
the type parameter `T` is specified

It suggests adding a type for the Sender and Receiver. You can do that if you want:

use std::sync::mpsc::{channel, Sender, Receiver}; // Added Sender and Receiver here

fn main() {
    let (sender, receiver): (Sender<i32>, Receiver<i32>) = channel();
}

but you don't have to. Once you start using the Sender and Receiver, Rust can guess the type.

So let's look at the simplest way to use a channel.

use std::sync::mpsc::channel;

fn main() {
    let (sender, receiver) = channel();

    sender.send(5);
    receiver.recv();
}

Now the compiler knows the type. sender is a Result<(), SendError<i32>> and receiver is a Result<i32, RecvError. So you can use unwrap to see if the sending works, or use better error handling. Let's add .unwrap() and also println! to see what we get:

use std::sync::mpsc::channel;

fn main() {
    let (sender, receiver) = channel();

    sender.send(5).unwrap();
    println!("{}", receiver.recv().unwrap());
}

This prints 5.

A channel is like an Arc because you can clone it and send the clones into other threads. Let's make two threads and send values to receiver. This code will work, but it is not exactly what we want.

use std::sync::mpsc::channel;

fn main() {
    let (sender, receiver) = channel();
    let sender_clone = sender.clone();

    std::thread::spawn(move|| { // move sender in
        sender.send("Send a &str this time").unwrap();
    });

    std::thread::spawn(move|| { // move sender_clone in
        sender_clone.send("And here is another &str");
    });

    println!("{}", receiver.recv().unwrap());
}

The two threads start sending, and then we println!. Sometimes it will say Send a &str this time and sometimes it will say And here is another &str. Let's make a join handle to make them wait.

use std::sync::mpsc::channel;

fn main() {
    let (sender, receiver) = channel();
    let sender_clone = sender.clone();
    let mut handle_vec = vec![]; // Put our handles in here

    handle_vec.push(std::thread::spawn(move|| {  // push this into the vec
        sender.send("Send a &str this time").unwrap();
    }));

    handle_vec.push(std::thread::spawn(move|| {  // and push this into the vec
        sender_clone.send("And here is another &str").unwrap();
    }));

    for _ in handle_vec { // now handle_vec has 2 items. Let's print them
        println!("{:?}", receiver.recv().unwrap());
    }
}

This prints:

"Send a &str this time"
"And here is another &str"

Now let's make a results_vec instead of printing.

use std::sync::mpsc::channel;

fn main() {
    let (sender, receiver) = channel();
    let sender_clone = sender.clone();
    let mut handle_vec = vec![];
    let mut results_vec = vec![];

    handle_vec.push(std::thread::spawn(move|| {
        sender.send("Send a &str this time").unwrap();
    }));

    handle_vec.push(std::thread::spawn(move|| {
        sender_clone.send("And here is another &str").unwrap();
    }));

    for _ in handle_vec {
        results_vec.push(receiver.recv().unwrap());
    }

    println!("{:?}", results_vec);
}

Now the results are in our vec: ["Send a &str this time", "And here is another &str"].

Now let's pretend that we have a lot of work to do, and want to use threads. We have a big vec with 10,000 items, all 0. We want to change each 0 to a 1. We will use ten threads, and each thread will do one tenth of the work. We will create a new vec and use .extend() to put the work in.

use std::sync::mpsc::channel;

fn main() {
    let (sender, receiver) = channel();
    let hugevec = vec![0; 1000];
    let mut newvec = vec![];

    for i in 0..10 {
        let sender_clone = sender.clone();
        let mut work: Vec<u8> = Vec::with_capacity(hugevec.len() / 10); // new vec to put the work in. 1/10th the size
        work.extend(&hugevec[i*100..(i+1)*100]); // first part gets 0..100, next gets 100..200, etc.
        let handle = std::thread::spawn(move || { // make a handle

            for number in work.iter_mut() { // do the actual work
                *number += 1;
            };
            sender_clone.send(work).unwrap(); // use the sender_clone to send the work to the receiver
        });

        handle.join().unwrap(); // stop the thread until it's done
        newvec.push(receiver.recv().unwrap()); // push the results from receiver.recv() into the vec
    }

    // Now we have a Vec<Vec<u8>>. To put it together we can use .flatten()
    let newvec = newvec.into_iter().flatten().collect::<Vec<u8>>(); // Now it's one vec of 1000 u8 numbers
}

If you print this you can see 1000 number 1s.

Reading Rust documentation

It is important to know how to read documentation in Rust so you can understand what other people wrote. Here are some things to know in Rust documentation:

assert_eq!

You saw that assert_eq! is used when doing testing. You put two items inside the function and the program will panic if they are not equal. Here is a simple example where we need an even number.

fn main() {
    prints_number(56);
}

fn prints_number(input: i32) {
    assert_eq!(input % 2, 0); // number must be equal.
                              // If number % 2 is not 0, it panics
    println!("The number is not odd. It is {}", input);
}

Maybe you don't have any plans to use assert_eq! in your code, but it is everywhere in Rust documentation. This is because in a document you would need a lot of room to println! everything. Also, you would require Display or Debug for the things you want to print. That's why documentation has assert_eq! everywhere. Here is an example from here https://doc.rust-lang.org/std/vec/struct.Vec.html showing how to use a Vec:

fn main() {
    let mut vec = Vec::new();
    vec.push(1);
    vec.push(2);

    assert_eq!(vec.len(), 2);
    assert_eq!(vec[0], 1);

    assert_eq!(vec.pop(), Some(2));
    assert_eq!(vec.len(), 1);

    vec[0] = 7;
    assert_eq!(vec[0], 7);

    vec.extend([1, 2, 3].iter().copied());

    for x in &vec {
        println!("{}", x);
    }
    assert_eq!(vec, [7, 1, 2, 3]);
}

In these examples, you can just think of assert_eq!(a, b) as saying "a is b". Now look at the same example with comments on the right. The comments show what it actually means.

fn main() {
    let mut vec = Vec::new();
    vec.push(1);
    vec.push(2);

    assert_eq!(vec.len(), 2); // The vec length is 2
    assert_eq!(vec[0], 1); // vec[0] is 1

    assert_eq!(vec.pop(), Some(2)); // When you use .pop(), you get Some()
    assert_eq!(vec.len(), 1); // The vec length is now 1

    vec[0] = 7;
    assert_eq!(vec[0], 7); // Vec[0] is 7

    vec.extend([1, 2, 3].iter().copied());

    for x in &vec {
        println!("{}", x);
    }
    assert_eq!(vec, [7, 1, 2, 3]); // The vec now has [7, 1, 2, 3]
}

Searching

The top bar of a Rust document is the search bar. It shows you results as you type. When you go down a page you can't see the search bar anymore, but if you press <kbd>s</kbd> on the keyboard you can search again. So pressing <kbd>s</kbd> anywhere lets you search right away.

[src] button

Usually the code for a method, struct, etc. will not be complete. This is because you don't usually need to see the full source to know how it works, and the full code can be confusing. But if you want to know more, you can click on [src] and see everything. For example, on the page for String you can see this signature:

// 🚧
pub fn with_capacity(capacity: usize) -> String

Okay, so you put a number in and it gives you a String. That's easy, but maybe you are curious. If you click on [src] you can see this:

// 🚧
pub fn with_capacity(capacity: usize) -> String {
    String { vec: Vec::with_capacity(capacity) }
}

Interesting! Now you can see that a String is a kind of Vec. And actually a String is a vector of u8 bytes, which is interesting to know. But you don't need to know that to use the with_capacity method so you only see it if you click [src]. So clicking on [src] is a good idea if the document doesn't have much detail and you want to know more.

Information on traits

The important part of the documentation for a trait is "Required Methods" on the left. If you see Required Methods, it probabl means that you have to write the method yourself. For example, for Iterator you need to write the .next() method. And for From you need to write the .from() method. But some traits can be implemented with just an attribute, like we see in #[derive(Debug)]. Debug needs the .fmt() method, but usually you just use #[derive(Debug)] unless you want to do it yourself. That's why the page on std::fmt::Debug says that "Generally speaking, you should just derive a Debug implementation."

Attributes

You have seen code like #[derive(Debug)] before: this type of code is called an attribute. These attributes are small pieces of code that give information to the compiler. They are not easy to create, but they are very easy to use. If you write an attribute with just # then it will affect the code on the next line. But if you write it with #! then it will affect everything in its own space.

Here are some attributes you will see a lot:

#[allow(dead_code)] and #[allow(unused_variables)]. If you write code that you don't use, Rust will still compile but it will let you know. For example, here is a struct with nothing in it and one variables. We don't use either of them.

struct JustAStruct {}

fn main() {
    let some_char = 'ん';
}

If you write this, Rust will remind you that you didn't use them:

warning: unused variable: `some_char`
 --> src\main.rs:4:9
  |
4 |     let some_char = 'ん';
  |         ^^^^^^^^^ help: if this is intentional, prefix it with an underscore: `_some_char`
  |
  = note: `#[warn(unused_variables)]` on by default

warning: struct is never constructed: `JustAStruct`
 --> src\main.rs:1:8
  |
1 | struct JustAStruct {}
  |        ^^^^^^^^^^^
  |
  = note: `#[warn(dead_code)]` on by default

We know that you can write a _ before the name to make the compiler be quiet:

struct _JustAStruct {}

fn main() {
    let _some_char = 'ん';
}

but you can also use attributes. You'll notice in the message that it uses #[warn(unused_variables)] and #[warn(dead_code)]. In our code, JustAStruct is dead code, and some_char is an unused variable. The opposite of warn is allow, so we can write this and it will not say anything:

#![allow(dead_code)]
#![allow(unused_variables)]

struct Struct1 {}
struct Struct2 {}
struct Struct3 {}
struct Struct4 {}
struct Struct5 {}

fn main() {
    let char1 = 'ん';
    let char2 = ';';
    let some_str = "I'm just a regular &str";
    let some_vec = vec!["I", "am", "just", "a", "vec"];
}

Of course, dealing with dead code and unused variables is important. But sometimes you want the compiler to be quiet for a while.

#[derive(TraitName)] lets you derive some traits for structs and enums that you create. This works with many common traits that can be automatically derived. Some like Display can't be automatically derived, because for Display you have to choose how to display:

// ⚠️
#[derive(Display)]   
struct HoldsAString {
    the_string: String,
}

fn main() {
    let my_string = HoldsAString {
        the_string: "Here I am!".to_string(),
    };
}

The error message will tell you that.

error: cannot find derive macro `Display` in this scope
 --> src\main.rs:2:10
  |
2 | #[derive(Display)]
  |

But for traits that you can automatically derive, you can put in as many as you like. Let's give HoldsAString seven traits in a single line.

#[derive(Debug, PartialEq, Eq, Ord, PartialOrd, Hash, Clone)]
struct HoldsAString {
    the_string: String,
}

fn main() {
    let my_string = HoldsAString {
        the_string: "Here I am!".to_string(),
    };
    println!("{:?}", my_string);
}

Also, you can make a struct Copy if its fields are all Copy. HoldsAString has String which is not Copy so you can't use #[derive(Copy)] for it. But for this struct you can:

#[derive(Clone, Copy)] // You also need Clone to use Copy
struct NumberAndBool {
    number: i32, // i32 is Copy
    true_or_false: bool // bool is also Copy. So no problem
}

fn does_nothing(input: NumberAndBool) {

} 

fn main() {
    let number_and_bool = NumberAndBool {
        number: 8,
        true_or_false: true
    };

    does_nothing(number_and_bool); 
    does_nothing(number_and_bool); // If it didn't have copy, this would make an error

}

#[cfg()] means configuration and tells the compiler whether to run code or not. You see it most like this: #[cfg(test)]. You use that when writing test functions so that it knows not to run them unless you are testing. That lets you write your tests close to your code and you don't have to worry about the compiler running them when you don't want it to. One other example using cfg is #[cfg(target_os = "windows")]. With that you can tell the compiler to only run the code on Windows, or Linux, or anything else.

#![no_std] is an interesting attribute that tells Rust not to bring in the standard library. That means you don't have Vec, String, and anything else in the standard library. You will see this in code for small devices that don't have much memory or space.

You can see many more attributes here.

Box

Box is a very convenient type in Rust. When you use a Box, you can put a type on the heap instead of the stack. To make a new Box, just use Box::new() and put the item inside.

fn just_takes_a_variable<T>(item: T) {} // Takes anything and drops it.

fn main() {
    let my_number = 1; // This is an i32
    just_takes_a_variable(my_number);
    just_takes_a_variable(my_number); // Using this function twice is no problem, because it's Copy

    let my_box = Box::new(1); // This is a Box<i32>
    just_takes_a_variable(my_box.clone()); // Without .clone() the second function would make an error
    just_takes_a_variable(my_box); // because Box is not Copy
}

At first it is hard to imagine where to use it, but you use it in Rust a lot. You remember that & is used for str because the compiler doesn't know the size of a str: it can be any length. But the & reference is always the same length, so the compiler can use it. Box is similar. Also, you can use * on a Box to get to the value, just like with &:

fn main() {
    let my_box = Box::new(1); // This is a Box<i32>
    let an_integer = *my_box; // This is an i32
    println!("{:?}", my_box);
    println!("{:?}", an_integer);
}

This is why Box is called a "smart pointer", because it is like a & reference (a kind of pointer) but can do more things.

You can also use a Box to create structs with the same struct inside. These are called recursive, which means that inside Struct A is maybe another Struct A. Sometimes programmers use these types to create lists, although this type of list is not very popular in Rust. But if you want to create a recursive struct, you can use a Box. Here's what happens if you try without a Box:

struct List {
    item: Option<List>, // ⚠️
}

This simple List has one item, that may be Some<List> (another list), or None. Because you can choose None, it will not be recursive forever. But the compiler still doesn't know the size:

error[E0072]: recursive type `List` has infinite size
  --> src\main.rs:16:1
   |
16 | struct List {
   | ^^^^^^^^^^^ recursive type has infinite size
17 |     item: Option<List>,
   |     ------------------ recursive without indirection
   |
   = help: insert indirection (e.g., a `Box`, `Rc`, or `&`) at some point to make `List` representable

You can see that it even suggests trying a Box. So let's put a Box around List:

struct List {
    item: Option<Box<List>>,
}
fn main() { }

Now the compiler is fine with the List, because everything is behind a Box, and it knows the size of a Box. Then a very simple list might look like this:

struct List {
    item: Option<Box<List>>,
}

impl List {
    fn new() -> List {
        List {
            item: Some(Box::new(List { item: None })),
        }
    }
}

fn main() {
    let mut my_list = List::new();
}

Even without data it is a bit complicated, and Rust does not use this type of pattern very much. This is because Rust has strict rules on borrowing and ownership, as you know. But if you want to start a list like this (a linked list), Box can help.

Box around traits

Box is very useful for returning traits. You know that you can write traits in generic functions like in this example:

use std::fmt::Display;

struct DoesntImplementDisplay {}

fn displays_it<T: Display>(input: T) {
    println!("{}", input);
}

fn main() {}

This only takes something with Display, so it can't accept our struct DoesntImplementDisplay. But it can take in a lot of others like String.

You also saw that we can use impl Trait to return other traits, or closures. Box can be used in a similar way. You can use a Box because otherwise the compiler won't know the size of a value. This example shows that a trait can be used on something of any size:

#![allow(dead_code)] // Tell the compiler to be quiet
use std::mem::size_of; // This gives the size of a type

trait JustATrait {} // We will implement this on everything

enum EnumOfNumbers {
    I8(i8),
    AnotherI8(i8),
    OneMoreI8(i8),
}
impl JustATrait for EnumOfNumbers {}

struct StructOfNumbers {
    an_i8: i8,
    another_i8: i8,
    one_more_i8: i8,
}
impl JustATrait for StructOfNumbers {}

enum EnumOfOtherTypes {
    I8(i8),
    AnotherI8(i8),
    Collection(Vec<String>),
}
impl JustATrait for EnumOfOtherTypes {}

struct StructOfOtherTypes {
    an_i8: i8,
    another_i8: i8,
    a_collection: Vec<String>,
}
impl JustATrait for StructOfOtherTypes {}

struct ArrayAndI8 {
    array: [i8; 1000], // This one will be very large
    an_i8: i8,
    in_u8: u8,
}
impl JustATrait for ArrayAndI8 {}

fn main() {
    println!(
        "{}, {}, {}, {}, {}",
        size_of::<EnumOfNumbers>(),
        size_of::<StructOfNumbers>(),
        size_of::<EnumOfOtherTypes>(),
        size_of::<StructOfOtherTypes>(),
        size_of::<ArrayAndI8>(),
    );
}

When we print the size of these, we get 2, 3, 32, 32, 1002. So if you were to do this, it would give an error:

// ⚠️
fn returns_just_a_trait() -> JustATrait {
    let some_enum = EnumOfNumbers::I8(8);
    some_enum
}

It says:

error[E0746]: return type cannot have an unboxed trait object
  --> src\main.rs:53:30
   |
53 | fn returns_just_a_trait() -> JustATrait {
   |                              ^^^^^^^^^^ doesn't have a size known at compile-time

And this is true, because the size could be 2, 3, 32, 1002, or anything else. So we put it in a Box instead. Here we also add the keyword dyn. dyn is a word that shows you that you are talking about a trait, not a struct or anything else.

So you can change the function to this:

// 🚧
fn returns_just_a_trait() -> Box<dyn JustATrait> {
    let some_enum = EnumOfNumbers::I8(8);
    Box::new(some_enum)
}

And now it works, because on the stack is just a Box and we know the size of Box.

You see this a lot in the form Box<dyn Error>, because sometimes you can have more than one possible error.

We can quickly create two error types to show this. To make an official error type, you have to implement std::error::Error for it. That part is easy: just write impl std::error::Error {}. But errors also need Debug and Display so they can give information on the problem. Debug is easy with #[derive(Debug)] but Display needs the .fmt() method. We did this once before.

The code looks like this:

use std::error::Error;
use std::fmt;

#[derive(Debug)]
struct ErrorOne;

impl Error for ErrorOne {} // Now it is an error type with Debug. Time for Display:

impl fmt::Display for ErrorOne {
    fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
        write!(f, "You got the first error!") // All it does is write this message
    }
}


#[derive(Debug)] // Do the same thing with ErrorTwo
struct ErrorTwo;

impl Error for ErrorTwo {}

impl fmt::Display for ErrorTwo {
    fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
        write!(f, "You got the second error!")
    }
}

// Make a function that just returns a String or an error
fn returns_errors(input: u8) -> Result<String, Box<dyn Error>> { // With Box<dyn Error> you can return anything that has the Error trait

    match input {
        0 => Err(Box::new(ErrorOne)), // Don't forget to put it in a box
        1 => Err(Box::new(ErrorTwo)),
        _ => Ok("Looks fine to me".to_string()), // This is the success type
    }

}

fn main() {

    let vec_of_u8s = vec![0_u8, 1, 80]; // Three numbers to try out

    for number in vec_of_u8s {
        match returns_errors(number) {
            Ok(input) => println!("{}", input),
            Err(message) => println!("{}", message),
        }
    }
}

This will print:

You got the first error!
You got the second error!
Looks fine to me

If we didn't have a Box<dyn Error> and wrote this, we would have a problem:

// ⚠️
fn returns_errors(input: u8) -> Result<String, Error> {
    match input {
        0 => Err(ErrorOne),
        1 => Err(ErrorTwo),
        _ => Ok("Looks fine to me".to_string()),
    }
}

It will tell you:

21  | fn returns_errors(input: u8) -> Result<String, Error> {
    |                                 ^^^^^^^^^^^^^^^^^^^^^ doesn't have a size known at compile-time

This is not surprising, because we know that a trait can work on many things, and they each have different sizes.

Default and the builder pattern

You can implement a trait called Default that will give values to a struct or enum that you think will be most common. The builder pattern works nicely with this to let users easily make changes when they want. First let's look at Default. Actually, most general types in Rust already have Default, and they are not surprising: 0, empty strings, false, etc.

fn main() {
    let default_i8: i8 = Default::default();
    let default_str: String = Default::default();
    let default_bool: bool = Default::default();

    println!("'{}', '{}', '{}'", default_i8, default_str, default_bool);
}

This prints '0', '', 'false'.

So Default is like the new function you usually see but you don't have to enter anything. First we will make a struct that doesn't implement Default yet. It has a new function which we use to make a character named Billy with some stats.

struct Character {
    name: String,
    age: u8,
    height: u32,
    weight: u32,
    lifestate: LifeState,
}

enum LifeState {
    Alive,
    Dead,
    NeverAlive,
    Uncertain
}

impl Character {
    fn new(name: String, age: u8, height: u32, weight: u32, alive: bool) -> Self {
        Self {
            name,
            age,
            height,
            weight,
            lifestate: if alive { LifeState::Alive } else { LifeState::Dead },
        }
    }
}

fn main() {
    let character_1 = Character::new("Billy".to_string(), 15, 170, 70, true);
}

But maybe in our world we want most of the characters to be named Billy, age 15, height 170, weight 70, and alive. We can implement Default so that we can just write Character::default(). It looks like this:

#[derive(Debug)]
struct Character {
    name: String,
    age: u8,
    height: u32,
    weight: u32,
    lifestate: LifeState,
}

#[derive(Debug)]
enum LifeState {
    Alive,
    Dead,
    NeverAlive,
    Uncertain,
}

impl Character {
    fn new(name: String, age: u8, height: u32, weight: u32, alive: bool) -> Self {
        Self {
            name,
            age,
            height,
            weight,
            lifestate: if alive {
                LifeState::Alive
            } else {
                LifeState::Dead
            },
        }
    }
}

impl Default for Character {
    fn default() -> Self {
        Self {
            name: "Billy".to_string(),
            age: 15,
            height: 170,
            weight: 70,
            lifestate: LifeState::Alive,
        }
    }
}

fn main() {
    let character_1 = Character::default();

    println!(
        "The character {:?} is {:?} years old.",
        character_1.name, character_1.age
    );
}

It prints The character "Billy" is 15 years old. Much easier!

Now comes the builder pattern. We will have many Billys, so we will keep the default. But a lot of other characters will be only a bit different. The builder pattern lets us use very small methods to change one value each time. Here is one such method for Character:

fn height(mut self, height: u32) -> Self {    // 🚧
    self.height = height;
    self
}

Make sure to notice that it takes a mut self. We saw this once before, and it is not a mutable reference (&mut self). It takes ownership of Self and with mut it will be mutable, even if it wasn't mutable before. That's because .height() has full ownership and nobody else can touch it, so it is safe. Then it just changes self.height and returns Self (which is Character).

So let's have three of these builder methods. They are almost the same:

fn height(mut self, height: u32) -> Self {     // 🚧
    self.height = height;
    self
}

fn weight(mut self, weight: u32) -> Self {
    self.weight = weight;
    self
}

fn name(mut self, name: &str) -> Self {
    self.name = name.to_string();
    self
}

Each one of those changes one variable and gives Self back. So now we can write something like this to make a character: let character_1 = Character::default().height(180).weight(60).name("Bobby");. If you are building a library for someone else to use, this can make it easy for them. So far our code looks like this:

#[derive(Debug)]
struct Character {
    name: String,
    age: u8,
    height: u32,
    weight: u32,
    lifestate: LifeState,
}

#[derive(Debug)]
enum LifeState {
    Alive,
    Dead,
    NeverAlive,
    Uncertain,
}

impl Character {
    fn new(name: String, age: u8, height: u32, weight: u32, alive: bool) -> Self {
        Self {
            name,
            age,
            height,
            weight,
            lifestate: if alive {
                LifeState::Alive
            } else {
                LifeState::Dead
            },
        }
    }

    fn height(mut self, height: u32) -> Self {
        self.height = height;
        self
    }

    fn weight(mut self, weight: u32) -> Self {
        self.weight = weight;
        self
    }

    fn name(mut self, name: &str) -> Self {
        self.name = name.to_string();
        self
    }
}

impl Default for Character {
    fn default() -> Self {
        Self {
            name: "Billy".to_string(),
            age: 15,
            height: 170,
            weight: 70,
            lifestate: LifeState::Alive,
        }
    }
}

fn main() {
    let character_1 = Character::default().height(180).weight(60).name("Bobby");

    println!("{:?}", character_1);
}

One last method to add is usually called .build(). This method is a sort of final check. When you give a user a method like .height() you can make sure that they only put in a u32(), but what if they enter 5000 for height? That might not be okay in the game you are making. We will use a final method called .build() that returns a Result. Inside it we will check if the user input is okay, and if it is, we will return an Ok(Self).

First though let's change the .new() method. We don't want users to be free to create any kind of character anymore. So we'll move the values from impl Default to .new(). And now .new() doesn't take any input.

    fn new() -> Self {    // 🚧
        Self {
            name: "Billy".to_string(),
            age: 15,
            height: 170,
            weight: 70,
            lifestate: LifeState::Alive,
        }
    }

That means we don't need impl Default anymore, because .new() has all the default values. So we can delete impl Default.

Now our code looks like this:

#[derive(Debug)]
struct Character {
    name: String,
    age: u8,
    height: u32,
    weight: u32,
    lifestate: LifeState,
}

#[derive(Debug)]
enum LifeState {
    Alive,
    Dead,
    NeverAlive,
    Uncertain,
}

impl Character {
    fn new() -> Self {
        Self {
            name: "Billy".to_string(),
            age: 15,
            height: 170,
            weight: 70,
            lifestate: LifeState::Alive,
        }
    }

    fn height(mut self, height: u32) -> Self {
        self.height = height;
        self
    }

    fn weight(mut self, weight: u32) -> Self {
        self.weight = weight;
        self
    }

    fn name(mut self, name: &str) -> Self {
        self.name = name.to_string();
        self
    }
}

fn main() {
    let character_1 = Character::new().height(180).weight(60).name("Bobby");

    println!("{:?}", character_1);
}

This prints the same thing: Character { name: "Bobby", age: 15, height: 180, weight: 60, lifestate: Alive }.

We are almost ready to write the method .build(), but there is one problem: how do we make the user use it? Right now a user can write let x = Character::new().height(76767); and get a Character. There are many ways to do this, and maybe you can imagine your own. But we will add a can_use: bool value to Character.

#[derive(Debug)]       // 🚧
struct Character {
    name: String,
    age: u8,
    height: u32,
    weight: u32,
    lifestate: LifeState,
    can_use: bool, // Set whether the user can use the character
}

\\ Cut other code

    fn new() -> Self {
        Self {
            name: "Billy".to_string(),
            age: 15,
            height: 170,
            weight: 70,
            lifestate: LifeState::Alive,
            can_use: true, // .new() always gives a good character, so it's true
        }
    }

And for the other methods like .height(), we will set can_use to false. Only .build() will set it to true again, so now the user has to do a final check with .build(). We will make sure that height is not above 200 and weight is not above 300. Also, in our game there is a bad word called smurf that we don't want characters to use.

Our .build() method looks like this:

fn build(mut self) -> Result<Character, String> {      // 🚧
    if self.height < 200 && self.weight < 300 && !self.name.to_lowercase().contains("smurf") {
        self.can_use = true;
        Ok(self)
    } else {
        Err("Could not create character. Characters must have:
1) Height below 200
2) Weight below 300
3) A name that is not Smurf (that is a bad word)"
            .to_string())
    }
}

!self.name.to_lowercase().contains("smurf") makes sure that the user doesn't write "SMURF" or "IamSmurf" or something else. It turns the whole String into lowercase (small letters), and checks for .contains() instead of ==. And the ! in front means "not".

If everything is okay, we set can_use to true, and give the character to the user inside Ok.

Now that our code is done, we will create three characters that don't work, and one character that does work. The final code looks like this:

#[derive(Debug)]
struct Character {
    name: String,
    age: u8,
    height: u32,
    weight: u32,
    lifestate: LifeState,
    can_use: bool, // Here is the new value
}

#[derive(Debug)]
enum LifeState {
    Alive,
    Dead,
    NeverAlive,
    Uncertain,
}

impl Character {
    fn new() -> Self {
        Self {
            name: "Billy".to_string(),
            age: 15,
            height: 170,
            weight: 70,
            lifestate: LifeState::Alive,
            can_use: true,  // .new() makes a fine character, so it is true
        }
    }

    fn height(mut self, height: u32) -> Self {
        self.height = height;
        self.can_use = false; // Now the user can't use the character
        self
    }

    fn weight(mut self, weight: u32) -> Self {
        self.weight = weight;
        self.can_use = false;
        self
    }

    fn name(mut self, name: &str) -> Self {
        self.name = name.to_string();
        self.can_use = false;
        self
    }

    fn build(mut self) -> Result<Character, String> {
        if self.height < 200 && self.weight < 300 && !self.name.to_lowercase().contains("smurf") {
            self.can_use = true;   // Everything is okay, so set to true
            Ok(self)               // and return the character
        } else {
            Err("Could not create character. Characters must have:
1) Height below 200
2) Weight below 300
3) A name that is not Smurf (that is a bad word)"
                .to_string())
        }
    }
}

fn main() {
    let character_with_smurf = Character::new().name("Lol I am Smurf!!").build(); // This one contains "smurf" - not okay
    let character_too_tall = Character::new().height(400).build(); // Too tall - not okay
    let character_too_heavy = Character::new().weight(500).build(); // Too heavy - not okay
    let okay_character = Character::new()
        .name("Billybrobby")
        .height(180)
        .weight(100)
        .build();   // This character is okay. Name is fine, height and weight are fine

	// Now they are not Character, they are Result<Character, String>. So let's put them in a Vec so we can see them:
    let character_vec = vec![character_with_smurf, character_too_tall, character_too_heavy, okay_character];
    
    for character in character_vec { // Now we will print the character if it's Ok, and print the error if it's Err
        match character {
            Ok(character_info) => println!("{:?}", character_info),
            Err(err_info) => println!("{}", err_info),
        }
        println!(); // Then add one more line
    }
}

This will print:

Could not create character. Characters must have:
1) Height below 200
2) Weight below 300
3) A name that is not Smurf (that is a bad word)

Could not create character. Characters must have:
1) Height below 200
2) Weight below 300
3) A name that is not Smurf (that is a bad word)

Could not create character. Characters must have:
1) Height below 200
2) Weight below 300
3) A name that is not Smurf (that is a bad word)

Character { name: "Billybrobby", age: 15, height: 180, weight: 100, lifestate: Alive, can_use: true }

Deref and DerefMut

Deref is the trait that lets you use * to deference something. We know that a reference is not the same as a value:

// ⚠️
fn main() {
    let value = 7; // This is an i32
    let reference = &7; // This is a &i32
    println!("{}", value == reference);
}

And Rust won't even give a false because it won't even compare the two.

error[E0277]: can't compare `{integer}` with `&{integer}`
 --> src\main.rs:4:26
  |
4 |     println!("{}", value == reference);
  |                          ^^ no implementation for `{integer} == &{integer}`

Of course, the answer is *. So this will print true:

fn main() {
    let value = 7;
    let reference = &7;
    println!("{}", value == *reference);
}

Now let's imagine a simple type that just holds a number. It will be like a Box, and we have some ideas for some extra functions for it. But if we just give it a number, it won't be able to do much with it.

We can't use * like we can with Box:

// ⚠️
struct HoldsANumber(u8);

fn main() {
    let my_number = HoldsANumber(20);
    println!("{}", *my_number + 20);
}

The error is:

error[E0614]: type `HoldsANumber` cannot be dereferenced
  --> src\main.rs:24:22
   |
24 |     println!("{:?}", *my_number + 20);

We can of course do this: println!("{:?}", my_number.0 + 20);. But then we are just adding a separate u8 to the 20. It would be nice if we could just add them together. The message cannot be dereferenced gives us a clue: we need to implement Deref. Something simple that implements Deref is sometimes called a "smart pointer". It can point to the item, has information about it, and can use its methods. Because right now we can add my_number.0, which is a u8, but we can't add a HoldsANumber: all it has so far is Debug.

By the way, String is actually a smart pointer to &str and Vec is a smart pointer to array (or other types). So we have actually been using smart pointers since the beginning.

Implementing Deref is not too hard and the examples in the standard library are easy. So we follow them and now our Deref looks like this:

// 🚧
impl Deref for HoldsANumber {
    type Target = u8; // Remember, this is the "associated type": the type that goes together.
                      // You have to use the right type Target = (the type you want to return)

    fn deref(&self) -> &Self::Target { // Rust calls .deref() when you use *. We just defined Target as a u8 so this is easy to understand
        &self.0   // We chose &self.0 because it's a tuple struct. In a named struct it would be something like "&self.number"
    }
}

So now we can do this with *:

use std::ops::Deref;
#[derive(Debug)]
struct HoldsANumber(u8);

impl Deref for HoldsANumber {
    type Target = u8;

    fn deref(&self) -> &Self::Target {
        &self.0
    }
}

fn main() {
    let my_number = HoldsANumber(20);
    println!("{:?}", *my_number + 20);
}

So that will print 40 and we didn't need to write my_number.0. That means we get the methods of u8 and we can write our own methods for HoldsANumber. We will add our own simple method and use another method we get from u8 called .checked_sub(). That method tries to do subtraction, and if it can't do it, it gives a None. Remember, a u8 can't be negative so it's safer to do .checked_sub() so we don't panic.

use std::ops::Deref;

struct HoldsANumber(u8);

impl HoldsANumber {
    fn prints_the_number_times_two(&self) {
        println!("{}", self.0 * 2);
    }
}

impl Deref for HoldsANumber {
    type Target = u8;

    fn deref(&self) -> &Self::Target {
        &self.0
    }
}

fn main() {
    let my_number = HoldsANumber(20);
    println!("{:?}", my_number.checked_sub(100)); // This method comes from u8
    my_number.prints_the_number_times_two(); // This is our own method
}

This prints:

40
None

We can also implement DerefMut so we can change the values through *. It looks almost the same. You need Deref before you can implement DerefMut.

use std::ops::{Deref, DerefMut};

struct HoldsANumber(u8);

impl HoldsANumber {
    fn prints_the_number_times_two(&self) {
        println!("{}", self.0 * 2);
    }
}

impl Deref for HoldsANumber {
    type Target = u8;

    fn deref(&self) -> &Self::Target {
        &self.0
    }
}

impl DerefMut for HoldsANumber { // You don't need type Target = u8; here because it already knows thanks to Deref
    fn deref_mut(&mut self) -> &mut Self::Target { // Everything else is the same except it says mut everywhere
        &mut self.0
    }
}

fn main() {
    let mut my_number = HoldsANumber(20);
    *my_number = 30; // DerefMut lets us do this
    println!("{:?}", my_number.checked_sub(100));
    my_number.prints_the_number_times_two();
}

So you can see that Deref gives your type a lot of power. This is why the standard library says: Deref should only be implemented for smart pointers to avoid confusion. That is because you can do some strange things with Deref for a complicated type. Let's imagine a Character struct for a game. A new Character needs some stats like intelligence and strength. So here is our first character:

struct Character {
    name: String,
    strength: u8,
    dexterity: u8,
    health: u8,
    intelligence: u8,
    wisdom: u8,
    charm: u8,
    hit_points: i8,
    alignment: Alignment,
}

impl Character {
    fn new(
        name: String,
        strength: u8,
        dexterity: u8,
        health: u8,
        intelligence: u8,
        wisdom: u8,
        charm: u8,
        hit_points: i8,
        alignment: Alignment,
    ) -> Self {
        Self {
            name,
            strength,
            dexterity,
            health,
            intelligence,
            wisdom,
            charm,
            hit_points,
            alignment,
        }
    }
}

enum Alignment {
    Good,
    Neutral,
    Evil,
}

fn main() {
    let billy = Character::new("Billy".to_string(), 9, 8, 7, 10, 19, 19, 5, Alignment::Good);
}

Now let's imagine that we want to keep character hit points in a big vec. Maybe we'll put monster data in there too, and keep it all together. Since hit_points is an i8, we implement Deref so we can do all sorts of math on it. But look at how strange it looks in our main() function now:

use std::ops::Deref;

// All the other code is the same until after the enum Alignment
struct Character {
    name: String,
    strength: u8,
    dexterity: u8,
    health: u8,
    intelligence: u8,
    wisdom: u8,
    charm: u8,
    hit_points: i8,
    alignment: Alignment,
}

impl Character {
    fn new(
        name: String,
        strength: u8,
        dexterity: u8,
        health: u8,
        intelligence: u8,
        wisdom: u8,
        charm: u8,
        hit_points: i8,
        alignment: Alignment,
    ) -> Self {
        Self {
            name,
            strength,
            dexterity,
            health,
            intelligence,
            wisdom,
            charm,
            hit_points,
            alignment,
        }
    }
}

enum Alignment {
    Good,
    Neutral,
    Evil,
}

impl Deref for Character { // impl Deref for Character. Now we can do any integer math we want!
    type Target = i8;

    fn deref(&self) -> &Self::Target {
        &self.hit_points
    }
}



fn main() {
    let billy = Character::new("Billy".to_string(), 9, 8, 7, 10, 19, 19, 5, Alignment::Good); // Create two characters, billy and brandy
    let brandy = Character::new("Brandy".to_string(), 9, 8, 7, 10, 19, 19, 5, Alignment::Good);

    let mut hit_points_vec = vec![]; // Put our hit points data in here
    hit_points_vec.push(*billy); // Push *billy?
    hit_points_vec.push(*brandy); // Push *brandy?
    
    println!("{:?}", hit_points_vec);

}

This just prints [5, 5]. Our code is now very strange for someone to read. We can read Deref just above main() and figure out that *billy means i8, but what if there was a lot of code? Maybe our code is 2000 lines long, and suddenly we have to figure out why we are .push()ing *billy. Character is certainly more than just a smart pointer for i8.

Of course, it is not illegal to write hit_points_vec.push(*billy), but it makes the code look very strange. Probably a simple .get_hp() method would be much better, or another struct that holds the characters. Then you could iterate through and push the hit_points for each one. Deref gives a lot of power but it's good to make sure that the code is logical.

Crates and modules

Every time you write code in Rust, you are writing it in a crate. A crate is the file, or files, that go together for your code. Inside the file you write you can also make a mod. A mod is a space for functions, structs, etc. and is used for a few reasons:

Building your code: it helps you think about the general structure of your code. This can be important as your code gets larger and larger.
Reading your code: people can understand your code more easily. For example, when you see std::collections::HashMap you know that it's in std inside the module collections. This gives you a hint that maybe there are more collection types inside collections that you can try.
Privacy: everything starts out as private. That lets you keep users from using functions directly.

To make a mod, just write mod and start a code block with {}. We will make a mod called print_things that has some printing-related functions.

mod print_things {
    use std::fmt::Display;

    fn prints_one_thing<T: Display>(input: T) { // Print anything that implements Display
        println!("{}", input)
    }
}

fn main() {}

You can see that we wrote use std::fmt::Display; inside print_things, because it is a separate space. If you wrote use std::fmt::Display; inside main() it wouldn't help. Also, we can't call it from main() right now. Without the pub keyword in front of fn it will stay private. Let's try to call it without pub. Here's one way to write it:

// 🚧
fn main() {
    crate::print_things::prints_one_thing(6);
}

crate means inside this file. Inside that is the mod print_things, then finally the prints_one_thing() function. You can write that every time, or you can write use to import it. Now we can see the error that says that it's private:

// ⚠️
mod print_things {
    use std::fmt::Display;

    fn prints_one_thing<T: Display>(input: T) {
        println!("{}", input)
    }
}

fn main() {
    use crate::print_things::prints_one_thing;

    prints_one_thing(6);
    prints_one_thing("Trying to print a string...".to_string());
}

Here's the error:

error[E0603]: function `prints_one_thing` is private
  --> src\main.rs:10:30
   |
10 |     use crate::print_things::prints_one_thing;
   |                              ^^^^^^^^^^^^^^^^ private function
   |
note: the function `prints_one_thing` is defined here
  --> src\main.rs:4:5
   |
4  |     fn prints_one_thing<T: Display>(input: T) {
   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^

It's easy to understand that function print_one_thing is private. It also shows us where to find the function. This is because once you start using mod you might also be using more than one file as well, and it can be hard to find things.

Now we just write pub fn instead of fn and everything works.

mod print_things {
    use std::fmt::Display;

    pub fn prints_one_thing<T: Display>(input: T) {
        println!("{}", input)
    }
}

fn main() {
    use crate::print_things::prints_one_thing;

    prints_one_thing(6);
    prints_one_thing("Trying to print a string...".to_string());
}

This prints:

6
Trying to print a string...

How about pub for a struct, enum, trait, or module? pub works like this for them:

pub for a struct: it makes the struct public, but the items are not public. To make an item public, you have to write pub for each one too.
pub for an enum or trait: everything becomes public. This makes sense because traits are about giving the same behaviour to something. And enums are about a selection between items, and you need to see them to select them.
pub for a module: the first module will be pub because if it isn't pub then nobody can touch anything in it at all. But modules inside modules need pub to be public.

So let's put a struct named Billy inside print_things. This struct will be almost all public, but not quite. The struct is public so it will say pub struct Billy. Inside it will have a name and times_to_print. name will not be public, because we only want the user to create structs named "Billy".to_string(). But the user can select the number of times to print, so that will be public. It looks like this:

mod print_things {
    use std::fmt::{Display, Debug};

    #[derive(Debug)]
    pub struct Billy { // Billy is public
        name: String, // but name is private.
        pub times_to_print: u32,
    }

    impl Billy {
        pub fn new(times_to_print: u32) -> Self { // That means the user needs to use new to create a Billy. The user can only input times_to_print
            Self {
                name: "Billy".to_string(), // We choose the name - the user can't
                times_to_print,
            }
        }

        pub fn print_billy(&self) { // This function prints a Billy
            for _ in 0..self.times_to_print {
                println!("{:?}", self.name);
            }
        }
    }

    pub fn prints_one_thing<T: Display>(input: T) {
        println!("{}", input)
    }


}

fn main() {
    use crate::print_things::*; // Now we use *. This imports everything from print_things

    let my_billy = Billy::new(3);
    my_billy.print_billy();

}

This will print:

"Billy"
"Billy"
"Billy"

By the way, the * to import everything is called the "glob operator". Glob means "global", so it means everything.

Inside a mod you can create other mods. A child mod (a mod inside of a mod) can always use anything inside a parent mod. You can see this in the next example where we have a mod city inside a mod province inside a mod country. You can think of the structure like this: even if you are in a country, you might not be in a province. And even if you are in a province, you might not be in a city. But if you are in a city, you are in its province and you are its country.

mod country { // The main mod doesn't need pub
    fn print_country(country: &str) { // Note: this function isn't public
        println!("We are in the country of {}", country);
    }
    pub mod province { // Make this mod public

        fn print_province(province: &str) { // Note: this function isn't public
            println!("in the province of {}", province);
        }

        pub mod city { // Make this mod public
            pub fn print_city(country: &str, province: &str, city: &str) {  // This function is public though
                crate::country::print_country(country);
                crate::country::province::print_province(province);
                println!("in the city of {}", city);
            }
            }
        }
    }

fn main() {
    crate::country::province::city::print_city("Canada", "New Brunswick", "Moncton");
}

The interesting part is that print_city can access print_province and print_country. That's because mod city is inside the other mods. It doesn't need pub in front of print_province to use it. And that makes sense: a city doesn't need to do anything to be inside a province and inside a country.

You probably noticed that crate::country::province::print_province(province); is very long. When we are inside a module we can use super to bring in items from above. Actually the word super itself means "above", like in "superior". In our example we only used the function once, but if you use it more then it is a good idea to import. It can also be a good idea if it makes your code easier to read, even if you only use the function once. The code is almost the same now, but a bit easier to read:

mod country {
    fn print_country(country: &str) {
        println!("We are in the country of {}", country);
    }
    pub mod province {
        fn print_province(province: &str) {
            println!("in the province of {}", province);
        }

        pub mod city {
            use super::super::*; // use everything in "above above": that means mod country
            use super::*;        // use everything in "above": that means mod province

            pub fn print_city(country: &str, province: &str, city: &str) {
                print_country(country);
                print_province(province);
                println!("in the city of {}", city);
            }
        }
    }
}

fn main() {
    use crate::country::province::city::print_city; // bring in the function

    print_city("Canada", "New Brunswick", "Moncton");
    print_city("Korea", "Gyeonggi-do", "Gwangju"); // Now it's less work to use it again
}

Testing

Testing is a good subject to learn now that we understand modules. Testing your code is very easy in Rust, because you can write tests right next to your code.

The easiest way to start testing is to add #[test] above a function. Here is a simple one:

#[test]
fn two_is_two() {
    assert_eq!(2, 2);
}

But if you try to run it in the Playground, it gives an error: error[E0601]: `main` function not found in crate `playground. That's because you don't use Run for tests, you use Test. Also, you don't use a main() function for tests - they go outside. To run this in the Playground, click on ··· next to RUN and change it to Test. Now if you click on it, it will run the test. Here is the output:

running 1 test
test two_is_two ... ok

test result: ok. 1 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out

Let's change assert_eq!(2, 2) to assert_eq!(2, 3) and see what we get. When a test fails you get a lot more information:

running 1 test
test two_is_two ... FAILED

failures:

---- two_is_two stdout ----
thread 'two_is_two' panicked at 'assertion failed: `(left == right)`
  left: `2`,
 right: `3`', src/lib.rs:3:5
note: run with `RUST_BACKTRACE=1` environment variable to display a backtrace


failures:
    two_is_two

test result: FAILED. 0 passed; 1 failed; 0 ignored; 0 measured; 0 filtered out

assert_eq!(left, right) is the main way to test a function in Rust. If it doesn't work, it will show the different values: left has 2, but right has 3.

What does RUST_BACKTRACE=1 mean? This is a setting on your computer to give a lot more information about errors. Luckily the Playground has it too: click on ··· next to STABLE and set backtrace to ENABLED. If you do that, it will give you a lot of information:

running 1 test
test two_is_two ... FAILED

failures:

---- two_is_two stdout ----
thread 'two_is_two' panicked at 'assertion failed: 2 == 3', src/lib.rs:3:5
stack backtrace:
   0: backtrace::backtrace::libunwind::trace
             at /cargo/registry/src/github.com-1ecc6299db9ec823/backtrace-0.3.46/src/backtrace/libunwind.rs:86
   1: backtrace::backtrace::trace_unsynchronized
             at /cargo/registry/src/github.com-1ecc6299db9ec823/backtrace-0.3.46/src/backtrace/mod.rs:66
   2: std::sys_common::backtrace::_print_fmt
             at src/libstd/sys_common/backtrace.rs:78
   3: <std::sys_common::backtrace::_print::DisplayBacktrace as core::fmt::Display>::fmt
             at src/libstd/sys_common/backtrace.rs:59
   4: core::fmt::write
             at src/libcore/fmt/mod.rs:1076
   5: std::io::Write::write_fmt
             at /rustc/c367798cfd3817ca6ae908ce675d1d99242af148/src/libstd/io/mod.rs:1537
   6: std::io::impls::<impl std::io::Write for alloc::boxed::Box<W>>::write_fmt
             at src/libstd/io/impls.rs:176
   7: std::sys_common::backtrace::_print
             at src/libstd/sys_common/backtrace.rs:62
   8: std::sys_common::backtrace::print
             at src/libstd/sys_common/backtrace.rs:49
   9: std::panicking::default_hook::{{closure}}
             at src/libstd/panicking.rs:198
  10: std::panicking::default_hook
             at src/libstd/panicking.rs:215
  11: std::panicking::rust_panic_with_hook
             at src/libstd/panicking.rs:486
  12: std::panicking::begin_panic
             at /rustc/c367798cfd3817ca6ae908ce675d1d99242af148/src/libstd/panicking.rs:410
  13: playground::two_is_two
             at src/lib.rs:3
  14: playground::two_is_two::{{closure}}
             at src/lib.rs:2
  15: core::ops::function::FnOnce::call_once
             at /rustc/c367798cfd3817ca6ae908ce675d1d99242af148/src/libcore/ops/function.rs:232
  16: <alloc::boxed::Box<F> as core::ops::function::FnOnce<A>>::call_once
             at /rustc/c367798cfd3817ca6ae908ce675d1d99242af148/src/liballoc/boxed.rs:1076
  17: <std::panic::AssertUnwindSafe<F> as core::ops::function::FnOnce<()>>::call_once
             at /rustc/c367798cfd3817ca6ae908ce675d1d99242af148/src/libstd/panic.rs:318
  18: std::panicking::try::do_call
             at /rustc/c367798cfd3817ca6ae908ce675d1d99242af148/src/libstd/panicking.rs:297
  19: std::panicking::try
             at /rustc/c367798cfd3817ca6ae908ce675d1d99242af148/src/libstd/panicking.rs:274
  20: std::panic::catch_unwind
             at /rustc/c367798cfd3817ca6ae908ce675d1d99242af148/src/libstd/panic.rs:394
  21: test::run_test_in_process
             at src/libtest/lib.rs:541
  22: test::run_test::run_test_inner::{{closure}}
             at src/libtest/lib.rs:450
note: Some details are omitted, run with `RUST_BACKTRACE=full` for a verbose backtrace.


failures:
    two_is_two

test result: FAILED. 0 passed; 1 failed; 0 ignored; 0 measured; 0 filtered out

You don't need to use a backtrace unless you really can't find where the problem is. But luckily you don't need to understand it all either. If you keep reading, you will eventually see line 13 where it says playground - that's where it talks about your code. Everything else is about what Rust is doing in other libraries to run your program. But these two lines show you that it looked at line 2 and line 3 of playground, which is a hint to check there.

  13: playground::two_is_two
             at src/lib.rs:3
  14: playground::two_is_two::{{closure}}
             at src/lib.rs:2

So let's turn backtrace off again and return to regular tests. Now we'll write some other functions, and use test functions to test them. Here are a few:

fn return_two() -> i8 {
    2
}
#[test]
fn it_returns_two() {
    assert_eq!(return_two(), 2);
}

fn return_six() -> i8 {
    4 + return_two()
}
#[test]
fn it_returns_six() {
    assert_eq!(return_six(), 6)
}

Now it runs both:

running 2 tests
test it_returns_two ... ok
test it_returns_six ... ok

test result: ok. 2 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out

That's not too hard.

Usually you will want to put your tests in their own module. To do this, use the same mod keyword and add #[cfg(test)] above it (remember: cfg means "configure). You also want to continue to write #[test] above each test. This is because later on when you install Rust, you can do more complicated testing. You will be able to run one test, or all of them, or run a few. Also don't forget to write use super::*; because the test module needs to use the functions above it. Now it will look like this:

fn return_two() -> i8 {
    2
}
fn return_six() -> i8 {
    4 + return_two()
}

#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn it_returns_six() {
        assert_eq!(return_six(), 6)
    }
    #[test]
    fn it_returns_two() {
        assert_eq!(return_two(), 2);
    }
}

Test-driven development

You might see the words "test-driven development" when reading about Rust or another programming language. It's one way to write programs, and some people like it while others prefer something else. "Test-driven development" means "writing tests first, then writing the code". When you do this, you will have a lot of tests for everything you want your code to do. Then you start writing the code, and run the tests to see if you did it right. This is pretty easy in Rust because the compiler gives a lot of information about what to fix. Let's write a small example of test-driven development and see what it looks like.

Let's imagine a calculator that takes user input. It can add (+) and it can subtract (-). If the user writes "5 + 6" it should return 11, if the user writes "5 + 6 - 7" it should return 4, and so on. So we'll start with test functions. You can also see that function names in tests are usually quite long. That is because you might run a lot of tests, and you want to understand which tests have failed.

We'll imagine that a single function called math() will do everything. It will return an i32 (we won't use floats). Because it needs to return something, we'll just return 6 every time. Then we will write three test functions. They will all fail, of course. Now the code looks like this:

fn math(input: &str) -> i32 {
    6
}

#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn one_plus_one_is_two() {
        assert_eq!(math("1 + 1"), 2);
    }
    #[test]
    fn one_minus_two_is_minus_one() {
        assert_eq!(math("1 - 2"), -1);
    }
    #[test]
    fn one_minus_minus_one_is_two() {
        assert_eq!(math("1 - -1), 2);
    }
}

It gives us this information:

running 3 tests
test tests::one_minus_minus_one_is_two ... FAILED
test tests::one_minus_two_is_minus_one ... FAILED
test tests::one_plus_one_is_two ... FAILED

and all the information about thread 'tests::one_plus_one_is_two' panicked at 'assertion failed: `(left == right). We don't need to print it all here.

Now to think about how to make the calculator. We will accept any number, and the symbols +-. We will allow spaces, but nothing else. So let's start with a const that contains all the values. Then we will use .chars() to iterate by character, and .all() to make sure they are all inside.

Then we will add a test that should panic. To do that, add #[should_panic] attribute: now if it panics the test will succeed.

Now the code looks like this:

const OKAY_CHARACTERS: &str = "1234567890+- "; // Don't forget the space at the end

fn math(input: &str) -> i32 {
    if let false = input.chars().all(|character| OKAY_CHARACTERS.contains(character)) {
        panic!("Please only input numbers, +-, or spaces");
    }
    6 // we still return a 6 for now
}

#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn one_plus_one_is_two() {
        assert_eq!(math("1 + 1"), 2);
    }
    #[test]
    fn one_minus_two_is_minus_one() {
        assert_eq!(math("1 - 2"), -1);
    }
    #[test]
    fn one_minus_minus_one_is_two() {
        assert_eq!(math("1 - -1"), 2);
    }

    #[test]
    #[should_panic]  // Here is our new test - it should panic
    fn panics_when_characters_not_right() {
        math("7 + seven");
    }
}

Now when we run the tests we get this result:

running 4 tests
test tests::one_minus_two_is_minus_one ... FAILED
test tests::one_minus_minus_one_is_two ... FAILED
test tests::panics_when_characters_not_right ... ok
test tests::one_plus_one_is_two ... FAILED

One succeeded! Our math() function will only accept good input now.

The next step is to write the actual calculator. This is the interesting part about test-driven development: the actual writing starts much later. First we will put the logic together for the calculator. We want the following:

All empty spaces should be removed. This is easy with .filter()
The input should turn into a Vec with all the inputs. + doesn't need to be an input, but when the program sees + it should know that the number is done. For example, the input 11+1 should do something like this: 1) See 1, push it into an empty string. 2) See another 1, push it into the string (it is now "11"). 3) See a +, know the number has ended. It will push the string into the vec, then clear the string.
The program must count the number of -. An odd number (1, 3, 5...) will mean subtract, an even number (2, 4, 6...) will mean add. So "1--9" should give 10, not -8.
The program should remove anything after the last number. 5+5+++++---- is made out of all the characters in OKAY_CHARACTERS, but it should turn to 5+5. This is easy with .trim_end_matches(), where you remove anything that matches at the end of a &str.

(By the way, .trim_end_matches() and .trim_start_matches() used to be trim_right_matches() and trim_left_matches(). But then people noticed that some languages write from right to left (Persian, Hebrew, Arabic, etc.) so right and left would be wrong. You might still see the older names in some code but they are the same thing.)

First we just want to pass all the tests. After we pass the tests, we can "refactor". Refactor means to make the code better, usually through things like structs and enums and methods. Here is our code to make the tests pass:

const OKAY_CHARACTERS: &str = "1234567890+- ";

fn math(input: &str) -> i32 {
    if let false = input.chars().all(|character| OKAY_CHARACTERS.contains(character)) {
        panic!("Please only input numbers, +-, or spaces");
    }

    let input = input.trim_end_matches(|x| "+-".contains(x)).chars().filter(|x| *x != ' ').collect::<String>(); // Remove + and - at the end, and all spaces
    let mut result_vec = vec![]; // Results go in here
    let mut push_string = String::new(); // This is the string we push in every time. We will keep reusing it in the loop.
    for character in input.chars() {
        match character {
            '+' => {
                if !push_string.is_empty() { // If the string is empty, we don't want to push "" into result_vec
                    result_vec.push(push_string.clone()); // But if it's not empty, it will be a number. Push it into the vec
                    push_string.clear(); // Then clear the string
                }
            },
            '-' => { // If we get a -,
                if push_string.contains('-') || push_string.is_empty() { // check to see if it's empty or has a -
                    push_string.push(character) // if so, then push it in
                } else { // otherwise, it will contain a number
                result_vec.push(push_string.clone()); // so push the number into result_vec, clear it and then push -
                push_string.clear();
                push_string.push(character);
                }
            },
            number => { // number here means "anything else that matches". We selected the name here
                if push_string.contains('-') { // We might have some - characters to push in first
                    result_vec.push(push_string.clone());
                    push_string.clear();
                    push_string.push(number);
                } else { // But if we don't, that means we can push the number in
                    push_string.push(number);
                }
            },
        }        
    }
    result_vec.push(push_string); // Push one last time after the loop is over. Don't need to .clone() because we don't use it anymore
    
    let mut total = 0; // Now it's time to do math. Start with a total
    let mut adds = true; // true = add, false = subtract
    let mut math_iter = result_vec.into_iter();
    while let Some(entry) = math_iter.next() { // Iter through the items
        if entry.contains('-') { // If it has a - character, check if it's even or odd
            if entry.chars().count() % 2 == 1 {
                adds = false;
                continue; // Go to the next item
            } else {
                continue;
            }
        }
        if adds == true {
            total += entry.parse::<i32>().unwrap(); // If there is no '-', it must be a number. So we are safe to unwrap
        } else {
            total -= entry.parse::<i32>().unwrap();
            adds = true;  // After subtracting, reset adds to true.
        }
    }
    total // Finally, return the total
}
   /// We'll add a few more tests just to make sure

#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn one_plus_one_is_two() {
        assert_eq!(math("1 + 1"), 2);
    }
    #[test]
    fn one_minus_two_is_minus_one() {
        assert_eq!(math("1 - 2"), -1);
    }
    #[test]
    fn one_minus_minus_one_is_two() {
        assert_eq!(math("1 - -1"), 2);
    }
    #[test]
    fn nine_plus_nine_minus_nine_minus_nine_is_zero() {
        assert_eq!(math("9+9-9-9"), 0); // This is a new test
    }
    #[test]
    fn eight_minus_nine_plus_nine_is_eight_even_with_characters_on_the_end() {
        assert_eq!(math("8  - 9     +9-----+++++"), 8); // This is a new test
    }
    #[test]
    #[should_panic]
    fn panics_when_characters_not_right() {
        math("7 + seven");
    }
}

And now the tests pass!

running 6 tests
test tests::one_minus_minus_one_is_two ... ok
test tests::nine_plus_nine_minus_nine_minus_nine_is_zero ... ok
test tests::one_minus_two_is_minus_one ... ok
test tests::eight_minus_nine_plus_nine_is_eight_even_with_characters_on_the_end ... ok
test tests::one_plus_one_is_two ... ok
test tests::panics_when_characters_not_right ... ok

test result: ok. 6 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out

You can see that there is a back and forth process in test-driven development. It's something like this:

First you write all the tests you can think of.
Then you start writing the code.
As you write the code, you get ideas for other tests.
You add the tests, and your tests grow as you go. The more tests you have, the more times your code gets checked.

Of course, tests don't check everything and it is wrong to think that "passing all tests = the code is pefect". But tests are great for when you change your code. If you change your code later on and run the tests, if one of them doesn't work you will know what to fix.

Now we can rewrite (refactor) the code a bit. One good way to start is with clippy. If you installed Rust then you can type cargo clippy, and if you're using the Playground then click on TOOLS and select Clippy. Clippy will look at your code and give you tips to make it simpler. Our code doesn't have any mistakes, but it could be better.

Clippy tells us two things:

warning: this loop could be written as a `for` loop
  --> src/lib.rs:44:5
   |
44 |     while let Some(entry) = math_iter.next() { // Iter through the items
   |     ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ help: try: `for entry in math_iter`
   |
   = note: `#[warn(clippy::while_let_on_iterator)]` on by default
   = help: for further information visit https://rust-lang.github.io/rust-clippy/master/index.html#while_let_on_iterator

warning: equality checks against true are unnecessary
  --> src/lib.rs:53:12
   |
53 |         if adds == true {
   |            ^^^^^^^^^^^^ help: try simplifying it as shown: `adds`
   |
   = note: `#[warn(clippy::bool_comparison)]` on by default
   = help: for further information visit https://rust-lang.github.io/rust-clippy/master/index.html#bool_comparison

This is true: for entry in math_iter is much simpler than while let Some(entry) = math_iter.next(). And a for loop is actually an iterator so we don't have any reason to write .iter(). Thanks, clippy! And also we didn't need to make math_iter: we can just write for entry in result_vec.

And the second point is true too: if adds == true can just be if adds (because adds = true).

Now we'll start some real refactoring. Instead of separate variables, we will create a Calculator struct. This will have all the variables we used together. We will change two names to make it more clear: result_vec will become results, and push_string will become current_input (current means "now"). And so far it only has one method: new.

// 🚧
#[derive(Clone)]
struct Calculator {
    results: Vec<String>,
    current_input: String,
    total: i32,
    adds: bool,
}

impl Calculator {
    fn new() -> Self {
        Self {
            results: vec![],
            current_input: String::new(),
            total: 0,
            adds: true,
        }
    }
}

Now our code is actually a bit longer, but easier to read. For example, if adds is now if calculator.adds, which is exactly like reading English. It looks like this:

#[derive(Clone)]
struct Calculator {
    results: Vec<String>,
    current_input: String,
    total: i32,
    adds: bool,
}

impl Calculator {
    fn new() -> Self {
        Self {
            results: vec![],
            current_input: String::new(),
            total: 0,
            adds: true,
        }
    }
}

const OKAY_CHARACTERS: &str = "1234567890+- ";

fn math(input: &str) -> i32 {
    if let false = input.chars().all(|character| OKAY_CHARACTERS.contains(character)) {
        panic!("Please only input numbers, +-, or spaces");
    }

    let input = input.trim_end_matches(|x| "+-".contains(x)).chars().filter(|x| *x != ' ').collect::<String>();
    let mut calculator = Calculator::new();

    for character in input.chars() {
        match character {
            '+' => {
                if !calculator.current_input.is_empty() {
                    calculator.results.push(calculator.current_input.clone());
                    calculator.current_input.clear();
                }
            },
            '-' => {
                if calculator.current_input.contains('-') || calculator.current_input.is_empty() {
                    calculator.current_input.push(character)
                } else {
                calculator.results.push(calculator.current_input.clone());
                calculator.current_input.clear();
                calculator.current_input.push(character);
                }
            },
            number => {
                if calculator.current_input.contains('-') {
                    calculator.results.push(calculator.current_input.clone());
                    calculator.current_input.clear();
                    calculator.current_input.push(number);
                } else {
                    calculator.current_input.push(number);
                }
            },
        }        
    }
    calculator.results.push(calculator.current_input);
    
    for entry in calculator.results {
        if entry.contains('-') {
            if entry.chars().count() % 2 == 1 {
                calculator.adds = false;
                continue;
            } else {
                continue;
            }
        }
        if calculator.adds {
            calculator.total += entry.parse::<i32>().unwrap();
        } else {
            calculator.total -= entry.parse::<i32>().unwrap();
            calculator.adds = true;
        }
    }
    calculator.total
}

#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn one_plus_one_is_two() {
        assert_eq!(math("1 + 1"), 2);
    }
    #[test]
    fn one_minus_two_is_minus_one() {
        assert_eq!(math("1 - 2"), -1);
    }
    #[test]
    fn one_minus_minus_one_is_two() {
        assert_eq!(math("1 - -1"), 2);
    }
    #[test]
    fn nine_plus_nine_minus_nine_minus_nine_is_zero() {
        assert_eq!(math("9+9-9-9"), 0);
    }
    #[test]
    fn eight_minus_nine_plus_nine_is_eight_even_with_characters_on_the_end() {
        assert_eq!(math("8  - 9     +9-----+++++"), 8);
    }
    #[test]
    #[should_panic]
    fn panics_when_characters_not_right() {
        math("7 + seven");
    }
}

Finally we add two new methods. One is called .clear() and clears the current_input(). The other one is called push_char() and pushes the input onto current_input(). Here is our refactored code:

#[derive(Clone)]
struct Calculator {
    results: Vec<String>,
    current_input: String,
    total: i32,
    adds: bool,
}

impl Calculator {
    fn new() -> Self {
        Self {
            results: vec![],
            current_input: String::new(),
            total: 0,
            adds: true,
        }
    }

    fn clear(&mut self) {
        self.current_input.clear();
    }

    fn push_char(&mut self, character: char) {
        self.current_input.push(character);
    }
}

const OKAY_CHARACTERS: &str = "1234567890+- ";

fn math(input: &str) -> i32 {
    if let false = input.chars().all(|character| OKAY_CHARACTERS.contains(character)) {
        panic!("Please only input numbers, +-, or spaces");
    }

    let input = input.trim_end_matches(|x| "+-".contains(x)).chars().filter(|x| *x != ' ').collect::<String>();
    let mut calculator = Calculator::new();

    for character in input.chars() {
        match character {
            '+' => {
                if !calculator.current_input.is_empty() {
                    calculator.results.push(calculator.current_input.clone());
                    calculator.clear();
                }
            },
            '-' => {
                if calculator.current_input.contains('-') || calculator.current_input.is_empty() {
                    calculator.push_char(character)
                } else {
                calculator.results.push(calculator.current_input.clone());
                calculator.clear();
                calculator.push_char(character);
                }
            },
            number => {
                if calculator.current_input.contains('-') {
                    calculator.results.push(calculator.current_input.clone());
                    calculator.clear();
                    calculator.push_char(number);
                } else {
                    calculator.push_char(number);
                }
            },
        }        
    }
    calculator.results.push(calculator.current_input);
    
    for entry in calculator.results {
        if entry.contains('-') {
            if entry.chars().count() % 2 == 1 {
                calculator.adds = false;
                continue;
            } else {
                continue;
            }
        }
        if calculator.adds {
            calculator.total += entry.parse::<i32>().unwrap();
        } else {
            calculator.total -= entry.parse::<i32>().unwrap();
            calculator.adds = true;
        }
    }
    calculator.total
}

#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn one_plus_one_is_two() {
        assert_eq!(math("1 + 1"), 2);
    }
    #[test]
    fn one_minus_two_is_minus_one() {
        assert_eq!(math("1 - 2"), -1);
    }
    #[test]
    fn one_minus_minus_one_is_two() {
        assert_eq!(math("1 - -1"), 2);
    }
    #[test]
    fn nine_plus_nine_minus_nine_minus_nine_is_zero() {
        assert_eq!(math("9+9-9-9"), 0);
    }
    #[test]
    fn eight_minus_nine_plus_nine_is_eight_even_with_characters_on_the_end() {
        assert_eq!(math("8  - 9     +9-----+++++"), 8);
    }
    #[test]
    #[should_panic]
    fn panics_when_characters_not_right() {
        math("7 + seven");
    }
}

This is probably good enough for now. We could write more methods but lines like calculator.results.push(calculator.current_input.clone()); are already very clear. Refactoring is best when you can still read the code well after you are done. You don't want to just refactor to make the code short: calc.clr() is much worse than calculator.clear(), for example.

External crates

An external crate means "someone else's crate".

For this section you almost need to install Rust, but we can still use just the Playground. Now we are going to learn how to import crates that other people have written. This is important in Rust because of two reasons:

It is very easy to import other crates, and
The Rust standard library is quite small.

That means that it is normal in Rust to bring in an external crate for a lot of basic functions. The idea is that if it is easy to use external crates, then you can choose the best one. Maybe one person will make a crate for one function, and then someone else will make a better one.

In this book we will only look at the most popular crates, the crates that everyone who uses Rust knows.

To begin learning external crates, we will start with the most common one: rand.

rand

Did you notice that we didn't use any random numbers yet? That's because random numbers aren't in the standard library. But there are a lot of crates that are "almost standard library" crates because everybody uses them. In any case, it's very easy to bring in a crate. If you have Rust on your computer, there is a file called cargo.toml that has this information. A cargo.toml file looks like this when you start:

[package]
name = "rust_book"
version = "0.1.0"
authors = ["David MacLeod"]
edition = "2018"

# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html

[dependencies]

Now if you want to add the rand crate, search for it on crates.io, which is where all the crates go. That takes you to https://crates.io/crates/rand. And when you click on that, you can see a screen that says Cargo.toml rand = "0.7.3". All you do is add that under [dependencies] like this:

[package]
name = "rust_book"
version = "0.1.0"
authors = ["David MacLeod"]
edition = "2018"

# See more keys and their definitions at https://doc.rust-lang.org/cargo/reference/manifest.html

[dependencies]
rand = "0.7.3"

And then Cargo will do the rest for you. Then you can start writing code like this example code on the rand document website. To get to the documents you can click on the docs button in the page on crates.io.

So that's enough about Cargo: we are still using just the Playground. Luckily, the Playground already has the top 100 crates installed. So you don't need to write in cargo.toml yet. On the Playground you can imagine that it has a long list like this with 100 crates:

[dependencies]
rand = "0.7.3"
some_other_crate = "0.1.0"
another_nice_crate = "1.7"

That means that to use rand, you can just do this.

use rand; // This means the whole crate rand
          // On your computer you can't just write this;
          // you need to write in the cargo.toml file first
          
fn main() {
    for _ in 0..5 {
        let random_u16 = rand::random::<u16>();
        print!("{} ", random_u16);
    }
}

It will print a different u16 number every time, like 42266 52873 56528 46927 6867.

The main functions in rand are random and thread_rng (rng means "random number generator"). And actually if you look at random it says: "This is simply a shortcut for thread_rng().gen()". So it's actually just thread_rng that does almost everything.

Here is a simple example of numbers from 1 to 10. To get those numbers, we use .gen_range() between 1 and 11.

use rand::{thread_rng, Rng}; // Or just use rand::*; if we are lazy

fn main() {
    let mut number_maker = thread_rng();
    for _ in 0..5 {
        print!("{} ", number_maker.gen_range(1, 11));
    }
}

This will print something like 7 2 4 8 6.

With random numbers we can do fun things like make characters for a game. We will use rand and some other things we know to make them. In this game our characters have six stats, and you use a d6 for them. A d6 is a cube that gives 1, 2, 3, 4, 5, or 6 when you throw it. Each character rolls a d6 three times, so each stat is between 3 and 18.

But sometimes it can be unfair if your character has something low like a 3 or 4. If your strength is 3 you can't carry anything, for example. So there is one more method that uses a d6 four times. You roll it four times, and throw away the lowest number. So if you roll 3, 3, 1, 6 then you keep 3, 3, 6 = 12. We will make this method too so the owner of the game can decide.

Here is our simple character creator. We created a Character struct for the stats, and even implemented Display to print it the way we want.

use rand::{thread_rng, Rng}; // Or just use rand::*; if we are lazy
use std::fmt; // Going to impl Display for our character


struct Character {
    strength: u8,
    dexterity: u8,    // This means "body quickness"
    constitution: u8, // This means "health"
    intelligence: u8,
    wisdom: u8,
    charisma: u8, // This means "popularity with people"
}

fn three_die_six() -> u8 { // A "die" is the thing you throw to get the number
    let mut generator = thread_rng(); // Create our random number generator
    let mut stat = 0; // This is the total
    for _ in 0..3 {
        stat += generator.gen_range(1, 7); // Add each time
    }
    stat // Return the total
}

fn four_die_six() -> u8 {
    let mut generator = thread_rng();
    let mut results = vec![]; // First put the numbers in a vec
    for _ in 0..4 {
        results.push(generator.gen_range(1, 7));
    }
    results.sort(); // Now a result like [4, 3, 2, 6] becomes [2, 3, 4, 6]
    results.remove(0); // Now it would be [3, 4, 6]
    results.iter().sum() // Return this result
}

impl Character {
    fn new(three_dice: bool) -> Self { // true for three dice, false for four
        match three_dice {
            true => Self {
                strength: three_die_six(),
                dexterity: three_die_six(),
                constitution: three_die_six(),
                intelligence: three_die_six(),
                wisdom: three_die_six(),
                charisma: three_die_six(),
            },
            false => Self {
                strength: four_die_six(),
                dexterity: four_die_six(),
                constitution: four_die_six(),
                intelligence: four_die_six(),
                wisdom: four_die_six(),
                charisma: four_die_six(),
            },
        }
    }
    fn display(&self) { // We can do this because we implemented Display below
        println!("{}", self);
        println!();
    }
}

impl fmt::Display for Character { // Just follow the code for in https://doc.rust-lang.org/std/fmt/trait.Display.html and change it a bit
    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
        write!(
            f,
            "Your character has these stats:
strength: {}
dexterity: {}
constitution: {}
intelligence: {}
wisdom: {}
charisma: {}",
            self.strength,
            self.dexterity,
            self.constitution,
            self.intelligence,
            self.wisdom,
            self.charisma
        )
    }
}



fn main() {
    let weak_billy = Character::new(true);
    let strong_billy = Character::new(false);
    weak_billy.display();
    strong_billy.display();
}

It will print something like this:

Your character has these stats:
strength: 9
dexterity: 15
constitution: 15
intelligence: 8
wisdom: 11
charisma: 9

Your character has these stats:
strength: 9
dexterity: 13
constitution: 14
intelligence: 16
wisdom: 16
charisma: 10

The character with four dice is usually a bit better at most things.

rayon

rayon is a popular crate that lets you speed up your Rust code. It's popular because it creates threads without needing to write things like thread::spawn. In other words, it is popular because it is effective but easy to write. For example:

.iter(), .iter_mut(), into_iter() in rayon is written like this:
.par_iter(), .par_iter_mut(), par_into_iter(). So you just add par_ and your code becomes much faster. (par means "parallel")

Other methods are the same: .chars() is .par_chars(), and so on.

Here is an example of a simple piece of code that is making the computer do a lot of work:

fn main() {
    let mut my_vec = vec![0; 200_000];
    my_vec.iter_mut().enumerate().for_each(|(index, number)| *number+=index+1);
    println!("{:?}", &my_vec[5000..5005]);
}

It creates a vector with 200,000 items: each one is 0. Then it calls .enumerate() to get the index for each number, and changes the 0 to the index number. It's too long to print so we only print items 5000 to 5004. This is still very fast in Rust, but if you want you can make it faster with Rayon. The code is almost the same:

use rayon::prelude::*; // Import rayon

fn main() {
    let mut my_vec = vec![0; 200_000];
    my_vec.par_iter_mut().enumerate().for_each(|(index, number)| *number+=index+1); // add par_ to iter_mut
    println!("{:?}", &my_vec[5000..5005]);
}

And that's it. rayon has many other methods to customize what you want to do, but at its most simple it is just "add _par to make your program faster".

A tour of the standard library

Now that you understand a lot of Rust, you will be able to understand most things inside the standard library. Let's take a look at some of the parts in it that we haven't learned yet. This tour will go over every part of the standard library that you don't need to install Rust for.

Arrays

One thing about arrays to note is that they don't implement Iterator.. That means that if you have an array, you can't use for. But you can use methods like .iter() on them. Or you can use & to get a slice. Actually, the compiler will tell you exactly that if you try to use for:

fn main() {
    // ⚠️
    let my_cities = ["Beirut", "Tel Aviv", "Nicosia"];

    for city in my_cities {
        println!("{}", city);
    }
}

The message is:

error[E0277]: `[&str; 3]` is not an iterator
 --> src\main.rs:5:17
  |
  |                 ^^^^^^^^^ borrow the array with `&` or call `.iter()` on it to iterate over it

So let's try both. They give the same result.

fn main() {
    let my_cities = ["Beirut", "Tel Aviv", "Nicosia"];

    for city in &my_cities {
        println!("{}", city);
    }
    for city in my_cities.iter() {
        println!("{}", city);
    }
}

This prints:

Beirut
Tel Aviv
Nicosia
Beirut
Tel Aviv
Nicosia

If you want to get variables from an array, you can put their names inside [] to destructure it. This is the same as using a tuple in match statements or to get variables from a struct.

fn main() {
    let my_cities = ["Beirut", "Tel Aviv", "Nicosia"];
    let [city1, city2, city3] = my_cities;
    println!("{}", city1);
}

This prints Beirut.

char

You can use the .escape_unicode() method to get the Unicode number for a char:

fn main() {
    let korean_word = "청춘예찬";
    for character in korean_word.chars() {
        print!("{} ", character.escape_unicode());
    }
}

This prints \u{ccad} \u{cd98} \u{c608} \u{cc2c}.

You can get a char from u8 using the From trait, but for a u32 you use TryFrom because it might not work. There are many more numbers in u32 than characters in Unicode. We can see this with a simple demonstration.

use std::convert::TryFrom; // You need to brig TryFrom in to use it
use rand::prelude::*; // We will use random numbers too

fn main() {
    let some_character = char::from(99); // This one is easy - no need for TryFrom
    println!("{}", some_character);

    let mut random_generator = rand::thread_rng();
	// This will try 40,000 times to make a char from a u32.
        // The range is 0 (std::u32::MIN) to u32's highest number (std::u32::MAX). If it doesn't work, we will give it '-'.
    for _ in 0..40_000 {
        let bigger_character = char::try_from(random_generator.gen_range(std::u32::MIN, std::u32::MAX)).unwrap_or('-');
        print!("{}", bigger_character)
    }
}

Almost every time it will generate a -. This is part of the sort of output you will see:

------------------------------------------------------------------------𤒰---------------------
-----------------------------------------------------------------------------------------------
-----------------------------------------------------------------------------------------------
-----------------------------------------------------------------------------------------------
-----------------------------------------------------------------------------------------------
-----------------------------------------------------------------------------------------------
-----------------------------------------------------------------------------------------------
-----------------------------------------------------------------------------------------------
-------------------------------------------------------------춗--------------------------------
-----------------------------------------------------------------------------------------------
-----------------------------------------------------------------------------------------------
-----------------------------------------------------------------------------------------------
------------򇍜----------------------------------------------------

So it's a good thing you need to use TryFrom.

Integers

There are a lot of math methods for these types, plus some others. Here are some of the most useful ones.

.checked_add(), .checked_sub(), .checked_mul(), .checked_div(). These are good methods if you think you might get a number that won't fit into a type. They return an Option so you can safely check that your math works without making the program panic.

fn main() {
    let some_number = 200_u8;
    let other_number = 200_u8;
    
    println!("{:?}", some_number.checked_add(other_number));
    println!("{:?}", some_number.checked_add(1));
}

This prints:

None
Some(201)

You'll notice that on the page for integers it says rhs a lot. This means "right hand side", which is the right hand side when you do some math. For example, in 5 + 6, 5 is on the left and 6 is on the right, so it's the rhs. This is not a keyword, but you will see it a lot so it's good to know.

While we are on the subject, let's learn how to implement Add. After you implement Add, you can use + on a type that you create. You need to implement Add yourself because add can mean a lot of things. Here's the example in the standard library page:

use std::ops::Add; // first bring in Add

#[derive(Debug, Copy, Clone, PartialEq)] // PartialEq is probably the most important part here. You want to be able to compare numbers
struct Point {
    x: i32,
    y: i32,
}

impl Add for Point {
    type Output = Self; // Remember, this is called an "associated type": a "type that goes together".
                        // In this case it's just another Point

    fn add(self, other: Self) -> Self {
        Self {
            x: self.x + other.x,
            y: self.y + other.y,
        }
    }
}

Now let's implement Add for our own type. Maybe we want to add two countries together so we can compare their economies. It looks like this:

use std::fmt;
use std::ops::Add;

#[derive(Clone)]
struct Country {
    name: String,
    population: u32,
    gdp: u32, // This is the size of the economy
}

impl Country {
    fn new(name: &str, population: u32, gdp: u32) -> Self {
        Self {
            name: name.to_string(),
            population,
            gdp,
        }
    }
}

impl Add for Country {
    type Output = Self;

    fn add(self, other: Self) -> Self {
        Self {
            name: format!("{} and {}", self.name, other.name), // We will add the names together,
            population: self.population + other.population, // and the population, 
            gdp: self.gdp + other.gdp,   // and the GDP
        }
    }
}

impl fmt::Display for Country {
    fn fmt(&self, f: &mut fmt::Formatter<'_>) -> fmt::Result {
        write!(
            f,
            "In {} are {} people and a GDP of ${}", // Then we can print them all with just {}
            self.name, self.population, self.gdp
        )
    }
}

fn main() {
    let nauru = Country::new("Nauru", 10_670, 160_000_000);
    let vanuatu = Country::new("Vanuatu", 307_815, 820_000_000);
    let micronesia = Country::new("Micronesia", 104_468, 367_000_000);

	// We could have given Country a &str instead of a String for the name. But we would have to write lifetimes everywhere
        // and that would be too much for a small example. Better to just clone them when we call println!.
    println!("{}", nauru.clone());
    println!("{}", nauru.clone() + vanuatu.clone());
    println!("{}", nauru + vanuatu + micronesia);
}

This prints:

In Nauru are 10670 people and a GDP of $160000000
In Nauru and Vanuatu are 318485 people and a GDP of $980000000
In Nauru and Vanuatu and Micronesia are 422953 people and a GDP of $1347000000

Later on in this code we could change .fmt() to display a number that is easier to read.

Floats

f32 and f64 have a very large number of methods that you use when doing math. We won't look at those, but here are some methods that you might use. They are: .floor(), .ceil(), .round(), and .trunc(). All of these return an f32 or f64 that is like an integer, with only 0 after the period. They do this:

.floor(): gives you the next lowest integer.
.ceil(): gives you the next highest integer.
.round(): gives you a higher number if .5 or more, or the same number if less than 0.5. This is called rounding because it gives you a "round" number (a number that is easy to look at).
.trunc(): just cuts off the part after the period. Truncate means "to cut off".

Here is a simple function to print them.

fn four_operations(input: f64) {
    println!(
"For the number {}:
floor: {}
ceiling: {}
rounded: {}
truncated: {}\n",
        input,
        input.floor(),
        input.ceil(),
        input.round(),
        input.trunc()
    );
}

fn main() {
    four_operations(9.1);
    four_operations(100.7);
    four_operations(-1.1);
    four_operations(-19.9);
}

This prints:

For the number 9.1:
floor: 9
ceiling: 10
rounded: 9 // because less than 9.5
truncated: 9

For the number 100.7:
floor: 100
ceiling: 101
rounded: 101 // because more than 100.5
truncated: 100

For the number -1.1:
floor: -2
ceiling: -1
rounded: -1
truncated: -1

For the number -19.9:
floor: -20
ceiling: -19
rounded: -20
truncated: -19

f32 and f64 have a method called .max() and .min() that gives you the higher or the lower of two numbers. (For other types you can just use std::cmp::max and std::cmp::min.) Here is a way to use this with .fold() to get the highest or lowest number. You can see again that .fold() isn't just for adding numbers.

fn main() {
    let my_vec = vec![8.0_f64, 7.6, 9.4, 10.0, 22.0, 77.345, 10.22, 3.2, -7.77, -10.0];
    let maximum = my_vec.iter().fold(f64::MIN, |current_number, next_number| current_number.max(*next_number)); // Note: start with the lowest possible number for an f64.
    let minimum = my_vec.iter().fold(f64::MAX, |current_number, next_number| current_number.min(*next_number)); // And here start with the highest possible number
    println!("{}, {}", maximum, minimum);
}

bool

In Rust you can turn a bool into an integer if you want, because it's safe to do that. But you can't do it the other way around. As you can see, true turns to 1 and false turns to 0.

fn main() {
    let true_false = (true, false);
    println!("{} {}", true_false.0 as u8, true_false.1 as i32);
}

This prints 1 0. Or you can use .into() if you tell the compiler the type:

fn main() {
    let true_false: (i128, u16) = (true.into(), false.into());
    println!("{} {}", true_false.0, true_false.1);
}

This prints the same thing.

Vec

Vec has a lot of methods that we haven't looked at yet. Let's start with .sort(). .sort() is not surprising at all. It uses a &mut self to sort a vector.

fn main() {
    let mut my_vec = vec![100, 90, 80, 0, 0, 0, 0, 0];
    my_vec.sort();
    println!("{:?}", my_vec);
}

This prints [0, 0, 0, 0, 0, 80, 90, 100]. But there is one more interesting way to sort called .sort_unstable(), and it is usually faster. It can be faster because it doesn't care about the order of numbers if they are the same number. In regular .sort(), you know that the last 0, 0, 0, 0, 0 will be in the same order after .sort(). But .sort_unstable() might move the last zero to index 0, then the third last zero to index 2, etc.

.dedup() means "de-duplicate". It will remove items that are the same in a vector, but only if they are next to each other. This next code will not just print "sun", "moon":

fn main() {
    let mut my_vec = vec!["sun", "sun", "moon", "moon", "sun", "moon", "moon"];
    my_vec.dedup();
    println!("{:?}", my_vec);
}

It only gets rid of "sun" next to the other "sun", then "moon" next to one "moon", and again with "moon" next to another "moon". The result is: ["sun", "moon", "sun", "moon"].

If you want to remove every duplicate, just .sort() first:

fn main() {
    let mut my_vec = vec!["sun", "sun", "moon", "moon", "sun", "moon", "moon"];
    my_vec.sort();
    my_vec.dedup();
    println!("{:?}", my_vec);
}

Result: ["moon", "sun"].

String

You will remember that a String is kind of like a Vec. It is so like a Vec that you can do a lot of the same methods. For example, you can start one with String::with_capacity(). You want that if you are always going to be pushing a char with .push() or pushing a &str with .push_str(). Here's an example of a String that has too many allocations.

fn main() {
    let mut push_string = String::new();
    let mut capacity_counter = 0; // capacity starts at 0
    for _ in 0..100_000 { // Do this 100,000 times
        if push_string.capacity() != capacity_counter { // First check if capacity is different now
            println!("{}", push_string.capacity()); // If it is, print it
            capacity_counter = push_string.capacity(); // then update the counter
        }
        push_string.push_str("I'm getting pushed into the string!"); // and push this in every time
    }    
}

This prints:

We had to reallocate (copy everything over) 18 times. But now we know the final capacity. So we'll give it the capacity right away, and we don't need to reallocate: just one String capacity is enough.

fn main() {
    let mut push_string = String::with_capacity(4587520); // We know the exact number. Some different big number could work too
    let mut capacity_counter = 0;
    for _ in 0..100_000 {
        if push_string.capacity() != capacity_counter {
            println!("{}", push_string.capacity());
            capacity_counter = push_string.capacity();
        }
        push_string.push_str("I'm getting pushed into the string!");
    }    
}

And this prints 4587520. Perfect! We never had to allocate again.

Of course, the actual length is certainly smaller than this. If you try 100,001 times, 101,000 times, etc., it'll still say 4587520. That's because each time the capacity is two times what it was before. We can shrink it though with .shrink_to_fit() (same as for a Vec). Our String is very large and we don't want to add anything more to it, so we can make it a bit smaller. But only do this if you are sure. Here is why:

fn main() {
    let mut push_string = String::with_capacity(4587520);
    let mut capacity_counter = 0;
    for _ in 0..100_000 {
        if push_string.capacity() != capacity_counter {
            println!("{}", push_string.capacity());
            capacity_counter = push_string.capacity();
        }
        push_string.push_str("I'm getting pushed into the string!");
    } 
    push_string.shrink_to_fit();
    println!("{}", push_string.capacity());    
    push_string.push('a');
    println!("{}", push_string.capacity());    
    push_string.shrink_to_fit();
    println!("{}", push_string.capacity());  
}

This prints:

So first we had a size of 4587520, but we weren't using it all. We used .shrink_to_fit() and got the size down to 3500000. But then we forget that we needed to push an a on. When we did that, Rust saw that we needed more space and gave us double: now it's 7000000. Whoops! So we did .shrink_to_fit() again and now it's back down to 3500001.

.pop() works for a String, just like for a Vec.

fn main() {
    let mut my_string = String::from(".daer ot drah tib elttil a si gnirts sihT");
    loop {
        let pop_result = my_string.pop();
        match pop_result {
            Some(character) => print!("{}", character),
            None => break,
        }
    }
}

This prints This string is a little bit hard to read. because it starts from the last character.

.retain() is a method that uses a closure, which is rare for String. It's just like .filter() for an iterator.

fn main() {
    let mut my_string = String::from("Age: 20 Height: 194 Weight: 80");
    my_string.retain(|character| character.is_alphabetic() || character == ' '); // Keep if a letter or a space
    dbg!(my_string); // Let's use dbg!() for fun this time instead of println!
}

This prints:

[src\main.rs:4] my_string = "Age  Height  Weight "

OsString and CString

std::ffi is the part of the standard library that helps you use Rust with other languages or operating systems. It has types like OsString and CString, which are like String for the operating system or if you need to work with the language C. They each have their own &str type too: OsStr and CStr. ffi means "foreign function interface".

OsString is necessary because sometimes you have to work with an operating system that doesn't have Unicode. All Rust strings are unicode, but not every operating system has it. Here is the simple English explanation from the standard library why OsString is necessary.

A string on Unix (Linux, etc.) might be lots of bytes together that don't have zeros. And sometimes you read them as Unicode UTF-8.
A string on Windows might be made of random 16-bit values that don't have zeros. And sometimes you read them as Unicode UTF-16.
In Rust, strings are always valid UTF-8, which may contain zeros.

So an OsString is made to be read by all of them.

You can do all the regular things with an OsString like OsString::from("Write something here"). It also has an interesting method called .into_string() that tries to make it into a regular String. It returns a Result, but the Err part is just the original OsString:

pub fn into_string(self) -> Result<String, OsString>

So if it doesn't work then you just get it back. You can even .unwrap() and it won't panic - you'll just not get a String. Let's test it out by calling methods that don't exist.

use std::ffi::OsString;

fn main() {
    // ⚠️
    let an_os_string = OsString::from("This string works for your OS too.");
    let new_string = an_os_string.into_string().unwrap();
    an_os_string.thth(); // Compiler: "What's .thth()??"
    new_string.occg();   // Compiler: "What's .occg()??"
}

Then the compiler tells us exactly what we want to know:

error[E0599]: no method named `thth` found for struct `std::ffi::OsString` in the current scope
 --> src\main.rs:6:18
  |
6 |     an_os_string.thth();
  |                  ^^^^ method not found in `std::ffi::OsString`

error[E0599]: no method named `occg` found for struct `std::string::String` in the current scope
 --> src\main.rs:7:16
  |
7 |     new_string.occg();
  |                ^^^^ method not found in `std::string::String`

Part 2 - Rust on your computer

You saw that we can learn almost anything in Rust just using the Playground. But if you learned everything so far, you will probably want Rust on your computer now. There are always some things that you can't do with the Playground like opening files or writing Rust in more than one just file. Some other things you need Rust on your computer for are input and flags. But most important is that with Rust on your computer you can use crates. We already learned about crates, but in the Playground you could only use the most popular ones. But with Rust on youn computer you can use any crate in your program.