[rust-101.git] / src / part07.rs

// Rust-101, Part 07: Operator Overloading, Tests, Formatting
// ==========================================================

pub use part05::BigInt;

// With our new knowledge of lifetimes, we are now able to write down the desired type
// of `min`: We want the function to take two borrows *of the same lifetime*, and then
// return a borrow of that lifetime. If the two input lifetimes would be different, we
// would not know which lifetime to use for the result.
pub trait Minimum {
    fn min<'a>(&'a self, other: &'a Self) -> &'a Self;
}

// Now we can implement a generic function `vec_min` that works on above trait.
// The code is pretty much straight-forward, and Rust checks that all the
// lifetimes actually work out.
pub fn vec_min<T: Minimum>(v: &Vec<T>) -> Option<&T> {
    let mut min: Option<&T> = None;
    for e in v {
        min = Some(match min {
            None => e,
            Some(n) => n.min(e)
        });
    }
    min
}
// Notice that the return type `Option<&T>` is technically (leaving the borrowing story aside) a
// pointer to a `T`, that could optionally be invalid. In other words, it's just like a pointer in
// C(++) or Java that can be `NULL`! However, thanks to `Option` being an `enum`, we cannot forget
// to check the pointer for validity, avoiding the safety issues of C(++).<br/>
// Also, if you are worried about wasting space, notice that Rust knows that `&T` can never be
// `NULL`, and hence optimizes `Option<&T>` to be no larger than `&T`. The `None` case is represented
// as `NULL`. This is another great example of a zero-cost abstraction: `Option<&T>` is exactly like
// a pointer in C(++), if you look at what happens during execution - but it's much safer to use.

// For our `vec_min` to be usable with `BigInt`, we need to provide an implementation of
// `Minimum`. You should be able to pretty much copy the code you wrote for exercise 06.1.
impl Minimum for BigInt {
    fn min<'a>(&'a self, other: &'a Self) -> &'a Self {
        unimplemented!()
    }
}

// ## Operator Overloading
// How can we know that our `min` function actually does what we want it to do? One possibility
// here is to do *testing*. Rust comes with nice build-in support for both unit tests and integration
// tests. However, before we go there, we need to have a way of checking whether the results of function calls are
// correct. In other words, we need to define how to test equality of `BigInt`. Being able to
// test equality is a property of a type, that - you guessed it - Rust expresses as a trait: `PartialEq`.

// Doing this for `BigInt` is fairly easy, thanks to our requirement that there be no trailing zeros.
// The `inline` attribute tells Rust that we will typically want this function to be inlined.
impl PartialEq for BigInt {
    #[inline]
    fn eq(&self, other: &BigInt) -> bool {
        debug_assert!(self.test_invariant() && other.test_invariant());
        self.data == other.data
    }
}
// Since implementing `PartialEq` is a fairly mechanical business, you can let Rust automate this
// by adding the attribute `derive(PartialEq)` to the type definition. In case you wonder about
// the "partial", I suggest you check out the documentation of [`PartialEq`](http://doc.rust-lang.org/std/cmp/trait.PartialEq.html)
// and [`Eq`](http://doc.rust-lang.org/std/cmp/trait.Eq.html). `Eq` can be automatically derived as well.

// Now we can compare `BigInt`s using `==`! Speaking in C++ terms, we just overloaded the `==` operator
// for `BigInt`. Rust does not have function overloading (i.e., it will not dispatch to different
// functions depending on the type of the argument). Instead, one typically finds (or defines) a
// trait that catches the core characteristic common to all the overloads, and writes a single
// function that's generic in the trait. For example, instead of overloading a function for all
// the ways a string can be represented, one writes a generic functions over [ToString](http://doc.rust-lang.org/std/string/trait.ToString.html).
// Usually, there is a trait like this that fits the purpose - and if there is, this has the great
// advantage that any type *you* write, that can convert to a string, just has to implement
// that trait to be immediately usable with all the functions out there that generalize over `ToString`.
// Compare that to C++ or Java, where the only chance to add a new overloading variant is to
// edit the class of the receiver.
fn compare_big_ints() {
    let b1 = BigInt::new(13);
    let b2 = BigInt::new(37);
    println!("b1 == b1: {} ; b1 == b2: {}; b1 != b2: {}", b1 == b1, b1 == b2, b1 != b2);
}

// ## Testing
// With our equality test written, we are now ready to write our first testcase. It doesn't get much
// simpler: You just write a function (with no arguments or return value), and give it the `test` attribute.
// `assert!` is like `debug_assert!`, but does not get compiled away in a release build.
#[test]
fn test_min() {
    let b1 = BigInt::new(1);
    let b2 = BigInt::new(42);
    let b3 = BigInt::from_vec(vec![0, 1]);

    assert!(*b1.min(&b2) == b1);
    assert!(*b3.min(&b2) == b2);
}
// Now run `cargo test` to execute the test. If you implemented `min` correctly, it should all work!

// ## Formatting
// There is also a macro `assert_eq!` that's specialized to test for equality, and that prints the two
// values (left and right) if they differ. To be able to do that, the macro needs to know how to format
// the value for printing. This means that we - guess what? - have to implement an appropriate trait.
// Rust knows about two ways of formatting a value: `Display` is for pretty-printing something in a way
// that users can understand, while `Debug` is meant to show the internal state of data and targeted at
// the programmer. The latter is what we want for `assert_eq!`, so let's get started.

// All formating is handled by [`std::fmt`](http://doc.rust-lang.org/std/fmt/index.html). I won't explain
// all the details, and refer you to the documentation instead.
use std::fmt;

// In the case of `BigInt`, we'd like to just output our internal `data` array, so we
// simply call the formating function of `Vec<u64>`.
impl fmt::Debug for BigInt {
    fn fmt(&self, f: &mut fmt::Formatter) -> fmt::Result {
        self.data.fmt(f)
    }
}
// `Debug` implementations can be automatically generated using the `derive(Debug)` attribute.

// Now we are ready to use `assert_eq!` to test `vec_min`.
#[test]
fn test_vec_min() {
    let b1 = BigInt::new(1);
    let b2 = BigInt::new(42);
    let b3 = BigInt::from_vec(vec![0, 1]);

    let v1 = vec![b2.clone(), b1.clone(), b3.clone()];
    let v2 = vec![b2.clone(), b3.clone()];
    assert_eq!(vec_min(&v1), Some(&b1));
    assert_eq!(vec_min(&v2), Some(&b2));
}

// **Exercise 07.1**: Add some more testcases. In particular, make sure you test the behavior of
// `vec_min` on an empty vector. Also add tests for `BigInt::from_vec` (in particular, removing
// trailing zeros). Finally, break one of your functions in a subtle way and watch the test fail.
// 
// **Exercise 07.2**: Go back to your good ol' `SomethingOrNothing`, and implement `Display` for it. (This will,
// of course, need a `Display` bound on `T`.) Then you should be able to use them with `println!` just like you do with numbers.

// [index](main.html) | [previous](part06.html) | [next](main.html)