//@ digit comes first. So, we have to write down some type, and implement `Iterator` for it such that `next` returns the digits
//@ one-by-one. Clearly, the iterator must somehow be able to access the number it iterates over, and it must store its current
//@ location. However, it cannot *own* the `BigInt`, because then the number would be gone after iteration! That'd certainly be bad.
//@ digit comes first. So, we have to write down some type, and implement `Iterator` for it such that `next` returns the digits
//@ one-by-one. Clearly, the iterator must somehow be able to access the number it iterates over, and it must store its current
//@ location. However, it cannot *own* the `BigInt`, because then the number would be gone after iteration! That'd certainly be bad.
//@ `Iter`, we must have an `Iter<'a>` that borrows the number for lifetime `'a`. This is our first example of
//@ a data-type that's polymorphic in a lifetime, as opposed to a type. <br/>
//@ `usize` here is the type of unsigned, pointer-sized numbers. It is typically the type of "lengths of things",
//@ `Iter`, we must have an `Iter<'a>` that borrows the number for lifetime `'a`. This is our first example of
//@ a data-type that's polymorphic in a lifetime, as opposed to a type. <br/>
//@ `usize` here is the type of unsigned, pointer-sized numbers. It is typically the type of "lengths of things",
// All we need now is a function that creates such an iterator for a given `BigInt`.
impl BigInt {
//@ Notice that when we write the type of `iter`, we don't actually have to give the lifetime parameter of `Iter`. Just as it is
// All we need now is a function that creates such an iterator for a given `BigInt`.
impl BigInt {
//@ Notice that when we write the type of `iter`, we don't actually have to give the lifetime parameter of `Iter`. Just as it is
//@ same. (See the last section of [part 06](part06.html).)
fn iter(&self) -> Iter {
Iter { num: self, idx: self.data.len() } /*@*/
//@ same. (See the last section of [part 06](part06.html).)
fn iter(&self) -> Iter {
Iter { num: self, idx: self.data.len() } /*@*/
// ## Iterator invalidation and lifetimes
//@ You may have been surprised that we had to explicitly annotate a lifetime when we wrote `Iter`. Of
// ## Iterator invalidation and lifetimes
//@ You may have been surprised that we had to explicitly annotate a lifetime when we wrote `Iter`. Of
-//@ course, with lifetimes being present at every borrow in Rust, this is only consistent. But do we at
+//@ course, with lifetimes being present at every reference in Rust, this is only consistent. But do we at
//@ least gain something from this extra annotation burden? (Thankfully, this burden only occurs when we
//@ define *types*, and not when we define functions - which is typically much more common.)
//@ least gain something from this extra annotation burden? (Thankfully, this burden only occurs when we
//@ define *types*, and not when we define functions - which is typically much more common.)
//@ of the right type, the conversion function will not do anything and trivially be optimized away.
//@ If you have a look at the documentation of `IntoIterator`, you will notice that the function `into_iter` it provides actually
//@ of the right type, the conversion function will not do anything and trivially be optimized away.
//@ If you have a look at the documentation of `IntoIterator`, you will notice that the function `into_iter` it provides actually
}
// With this in place, you can now replace `b.iter()` in `main` by `&b`. Go ahead and try it! <br/>
//@ Wait, `&b`? Why that? Well, we implemented `IntoIterator` for `&BigInt`. If we are in a place where `b` is already borrowed, we can
}
// With this in place, you can now replace `b.iter()` in `main` by `&b`. Go ahead and try it! <br/>
//@ Wait, `&b`? Why that? Well, we implemented `IntoIterator` for `&BigInt`. If we are in a place where `b` is already borrowed, we can
-//@ just do `for digit in b`. If however, we own `b`, we have to borrow it. Alternatively, we could implement `IntoIterator`
+//@ just do `for digit in b`. If however, we own `b`, we have to create a reference to it. Alternatively, we could implement `IntoIterator`
//@ for `BigInt` - which, as already mentioned, would mean that `b` is actually consumed by the iteration, and gone. This can easily happen,
//@ for example, with a `Vec`: Both `Vec` and `&Vec` (and `&mut Vec`) implement `IntoIterator`, so if you do `for e in v`, and `v` has type `Vec`,
//@ then you will obtain ownership of the elements during the iteration - and destroy the vector in the process. We actually did that in
//@ `part01::vec_min`, but we did not care. You can write `for e in &v` or `for e in v.iter()` to avoid this.
//@ for `BigInt` - which, as already mentioned, would mean that `b` is actually consumed by the iteration, and gone. This can easily happen,
//@ for example, with a `Vec`: Both `Vec` and `&Vec` (and `&mut Vec`) implement `IntoIterator`, so if you do `for e in v`, and `v` has type `Vec`,
//@ then you will obtain ownership of the elements during the iteration - and destroy the vector in the process. We actually did that in
//@ `part01::vec_min`, but we did not care. You can write `for e in &v` or `for e in v.iter()` to avoid this.