// we want a `CharOrNothing`, and later a `FloatOrNothing`? Certainly we don't
// want to re-write the type and all its inherent methods.
+// ## Generic datatypes
+
// The solution to this is called *generics* or *polymorphism* (the latter is Greek,
// meaning "many shapes"). You may know something similar from C++ (where it's called
// *templates*) or Java, or one of the many functional languages. So here, we define
// Go check out its [documentation](http://doc.rust-lang.org/stable/std/option/index.html)!
// (And don't worry, there's indeed lots of material mentioned there that we did not cover yet.)
+// ## Generic `impl`, Static functions
// The types are so similar, that we can provide a generic function to construct a `SomethingOrNothing<T>`
// from an `Option<T>`, and vice versa.
-
-// **Exercise**: Implement such functions! I provided a skeleton of the solution. Here,
-// `panic!` is another macro. This one terminates execution with the given message.
+// **Exercise 02.1**: Implement such functions! I provided a skeleton of the solution. Here,
+// `unimplemented!` is another macro. This one terminates execution saying that something has not yet
+// been implemented.
//
// Notice the syntax for giving generic implementations to generic types: Think of the first `<T>`
// as *declaring* a type variable ("I am doing something for all types `T`"), and the second `<T>` as
// Remember that `self` is the `this` of Rust, and implicitly has type `Self`.
impl<T> SomethingOrNothing<T> {
fn new(o: Option<T>) -> Self {
- panic!("Not yet implemented.")
+ unimplemented!()
}
fn to_option(self) -> Option<T> {
- panic!("Not yet implemented.")
+ unimplemented!()
}
}
// Observe how `new` does *not* have a `self` parameter. This corresponds to a `static` method
SomethingOrNothing::new(Some(x))
}
+// ## Traits
// Now that we have a generic `SomethingOrNothing`, wouldn't it be nice to also gave a generic
// `vec_min`? Of course, we can't take the minimum of a vector of *any* type. It has to be a type
// supporting a `min` operation. Rust calls such properties that we may demand of types *traits*.
// This behavior is similar to C++ templates. The optimizer (Rust is using LLVM) then has all the
// information it could want to, e.g., inline function calls.
+// ## Trait implementations
// To make the function usable with a `Vec<i32>`, we implement the `Minimum` trait for `i32`.
impl Minimum for i32 {
fn min(self, b: Self) -> Self {
}
}
-// In order to run our code and see the result, we again provide a `print` function.
-// This also shows that we can have multiple `impl` blocks for the same type (remember
-// that `NumberOrNothing` is just a type alias for `SomethingOrNothing<i32>`), and we
-// can provide some methods only for certain instances of a generic type.
-impl NumberOrNothing{
+// We again provide a `print` function. This also shows that we can have multiple `impl` blocks
+// for the same type (remember that `NumberOrNothing` is just a type alias for `SomethingOrNothing<i32>`),
+// and we can provide some methods only for certain instances of a generic type.
+impl NumberOrNothing {
pub fn print(self) {
match self {
Nothing => println!("The number is: <nothing>"),