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many small commits + new container tutorial #7426

Merged
merged 10 commits into from
Jun 28, 2013
1 change: 1 addition & 0 deletions RELEASES.txt
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Expand Up @@ -101,6 +101,7 @@ Version 0.7 (July 2013)
dynamic borrowcheck failures for debugging.
* rustdoc has a nicer stylesheet.
* Various improvements to rustdoc.
* Improvements to rustpkg (see the detailed release notes)

* Other
* More and improved library documentation.
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10 changes: 10 additions & 0 deletions doc/rustpkg.md
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Expand Up @@ -95,12 +95,22 @@ When building a package that is in a `git` repository,
When building a package that is not under version control,
or that has no tags, `rustpkg` assumes the intended version is 0.1.

# Dependencies

rustpkg infers dependencies from `extern mod` directives.
Thus, there should be no need to pass a `-L` flag to rustpkg to tell it where to find a library.
(In the future, it will also be possible to write an `extern mod` directive referring to a remote package.)

# Custom build scripts

A file called `pkg.rs` at the root level in a workspace is called a *package script*.
If a package script exists, rustpkg executes it to build the package
rather than inferring crates as described previously.

Inside `pkg.rs`, it's possible to call back into rustpkg to finish up the build.
`rustpkg::api` contains functions to build, install, or clean libraries and executables
in the way rustpkg normally would without custom build logic.

# Command reference

## build
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207 changes: 207 additions & 0 deletions doc/tutorial-container.md
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% Containers and iterators

# Containers

The container traits are defined in the `std::container` module.

## Unique and managed vectors

Vectors have `O(1)` indexing and removal from the end, along with `O(1)`
amortized insertion. Vectors are the most common container in Rust, and are
flexible enough to fit many use cases.

Vectors can also be sorted and used as efficient lookup tables with the
`std::vec::bsearch` function, if all the elements are inserted at one time and
deletions are unnecessary.

## Maps and sets

Maps are collections of unique keys with corresponding values, and sets are
just unique keys without a corresponding value. The `Map` and `Set` traits in
`std::container` define the basic interface.

The standard library provides three owned map/set types:

* `std::hashmap::HashMap` and `std::hashmap::HashSet`, requiring the keys to
implement `Eq` and `Hash`
* `std::trie::TrieMap` and `std::trie::TrieSet`, requiring the keys to be `uint`
* `extra::treemap::TreeMap` and `extra::treemap::TreeSet`, requiring the keys
to implement `TotalOrd`

These maps do not use managed pointers so they can be sent between tasks as
long as the key and value types are sendable. Neither the key or value type has
to be copyable.

The `TrieMap` and `TreeMap` maps are ordered, while `HashMap` uses an arbitrary
order.

Each `HashMap` instance has a random 128-bit key to use with a keyed hash,
making the order of a set of keys in a given hash table randomized. Rust
provides a [SipHash](https://131002.net/siphash/) implementation for any type
implementing the `IterBytes` trait.

## Double-ended queues

The `extra::deque` module implements a double-ended queue with `O(1)` amortized
inserts and removals from both ends of the container. It also has `O(1)`
indexing like a vector. The contained elements are not required to be copyable,
and the queue will be sendable if the contained type is sendable.

## Priority queues

The `extra::priority_queue` module implements a queue ordered by a key. The
contained elements are not required to be copyable, and the queue will be
sendable if the contained type is sendable.

Insertions have `O(log n)` time complexity and checking or popping the largest
element is `O(1)`. Converting a vector to a priority queue can be done
in-place, and has `O(n)` complexity. A priority queue can also be converted to
a sorted vector in-place, allowing it to be used for an `O(n log n)` in-place
heapsort.

# Iterators

## Iteration protocol

The iteration protocol is defined by the `Iterator` trait in the
`std::iterator` module. The minimal implementation of the trait is a `next`
method, yielding the next element from an iterator object:

~~~
/// An infinite stream of zeroes
struct ZeroStream;

impl Iterator<int> for ZeroStream {
fn next(&mut self) -> Option<int> {
Some(0)
}
}
~~~~

Reaching the end of the iterator is signalled by returning `None` instead of
`Some(item)`:

~~~
/// A stream of N zeroes
struct ZeroStream {
priv remaining: uint
}

impl ZeroStream {
fn new(n: uint) -> ZeroStream {
ZeroStream { remaining: n }
}
}

impl Iterator<int> for ZeroStream {
fn next(&mut self) -> Option<int> {
if self.remaining == 0 {
None
} else {
self.remaining -= 1;
Some(0)
}
}
}
~~~

## Container iterators

Containers implement iteration over the contained elements by returning an
iterator object. For example, vectors have four iterators available:

* `vector.iter()`, for immutable references to the elements
* `vector.mut_iter()`, for mutable references to the elements
* `vector.rev_iter()`, for immutable references to the elements in reverse order
* `vector.mut_rev_iter()`, for mutable references to the elements in reverse order

### Freezing

Unlike most other languages with external iterators, Rust has no *iterator
invalidation*. As long an iterator is still in scope, the compiler will prevent
modification of the container through another handle.

~~~
let mut xs = [1, 2, 3];
{
let _it = xs.iter();

// the vector is frozen for this scope, the compiler will statically
// prevent modification
}
// the vector becomes unfrozen again at the end of the scope
~~~

These semantics are due to most container iterators being implemented with `&`
and `&mut`.

## Iterator adaptors

The `IteratorUtil` trait implements common algorithms as methods extending
every `Iterator` implementation. For example, the `fold` method will accumulate
the items yielded by an `Iterator` into a single value:

~~~
let xs = [1, 9, 2, 3, 14, 12];
let result = xs.iter().fold(0, |accumulator, item| accumulator - *item);
assert_eq!(result, -41);
~~~

Some adaptors return an adaptor object implementing the `Iterator` trait itself:

~~~
let xs = [1, 9, 2, 3, 14, 12];
let ys = [5, 2, 1, 8];
let sum = xs.iter().chain_(ys.iter()).fold(0, |a, b| a + *b);
assert_eq!(sum, 57);
~~~

Note that some adaptors like the `chain_` method above use a trailing
underscore to work around an issue with method resolve. The underscores will be
dropped when they become unnecessary.

## For loops

The `for` loop syntax is currently in transition, and will switch from the old
closure-based iteration protocol to iterator objects. For now, the `advance`
adaptor is required as a compatibility shim to use iterators with for loops.

~~~
let xs = [2, 3, 5, 7, 11, 13, 17];

// print out all the elements in the vector
for xs.iter().advance |x| {
println(x.to_str())
}

// print out all but the first 3 elements in the vector
for xs.iter().skip(3).advance |x| {
println(x.to_str())
}
~~~

For loops are *often* used with a temporary iterator object, as above. They can
also advance the state of an iterator in a mutable location:

~~~
let xs = [1, 2, 3, 4, 5];
let ys = ["foo", "bar", "baz", "foobar"];

// create an iterator yielding tuples of elements from both vectors
let mut it = xs.iter().zip(ys.iter());

// print out the pairs of elements up to (&3, &"baz")
for it.advance |(x, y)| {
println(fmt!("%d %s", *x, *y));

if *x == 3 {
break;
}
}

// yield and print the last pair from the iterator
println(fmt!("last: %?", it.next()));

// the iterator is now fully consumed
assert!(it.next().is_none());
~~~
127 changes: 1 addition & 126 deletions doc/tutorial.md
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Expand Up @@ -1607,132 +1607,6 @@ do spawn {
If you want to see the output of `debug!` statements, you will need to turn on `debug!` logging.
To enable `debug!` logging, set the RUST_LOG environment variable to the name of your crate, which, for a file named `foo.rs`, will be `foo` (e.g., with bash, `export RUST_LOG=foo`).

## For loops

> ***Note:*** The closure-based protocol used `for` loop is on the way out. The `for` loop will
> use iterator objects in the future instead.

The most common way to express iteration in Rust is with a `for`
loop. Like `do`, `for` is a nice syntax for describing control flow
with closures. Additionally, within a `for` loop, `break`, `loop`,
and `return` work just as they do with `while` and `loop`.

Consider again our `each` function, this time improved to return
immediately when the iteratee returns `false`:

~~~~
fn each(v: &[int], op: &fn(v: &int) -> bool) -> bool {
let mut n = 0;
while n < v.len() {
if !op(&v[n]) {
return false;
}
n += 1;
}
return true;
}
~~~~

And using this function to iterate over a vector:

~~~~
# fn each(v: &[int], op: &fn(v: &int) -> bool) -> bool {
# let mut n = 0;
# while n < v.len() {
# if !op(&v[n]) {
# return false;
# }
# n += 1;
# }
# return true;
# }
each([2, 4, 8, 5, 16], |n| {
if *n % 2 != 0 {
println("found odd number!");
false
} else { true }
});
~~~~

With `for`, functions like `each` can be treated more
like built-in looping structures. When calling `each`
in a `for` loop, instead of returning `false` to break
out of the loop, you just write `break`. To skip ahead
to the next iteration, write `loop`.

~~~~
# fn each(v: &[int], op: &fn(v: &int) -> bool) -> bool {
# let mut n = 0;
# while n < v.len() {
# if !op(&v[n]) {
# return false;
# }
# n += 1;
# }
# return true;
# }
for each([2, 4, 8, 5, 16]) |n| {
if *n % 2 != 0 {
println("found odd number!");
break;
}
}
~~~~

As an added bonus, you can use the `return` keyword, which is not
normally allowed in closures, in a block that appears as the body of a
`for` loop: the meaning of `return` in such a block is to return from
the enclosing function, not just the loop body.

~~~~
# fn each(v: &[int], op: &fn(v: &int) -> bool) -> bool {
# let mut n = 0;
# while n < v.len() {
# if !op(&v[n]) {
# return false;
# }
# n += 1;
# }
# return true;
# }
fn contains(v: &[int], elt: int) -> bool {
for each(v) |x| {
if (*x == elt) { return true; }
}
false
}
~~~~

Notice that, because `each` passes each value by borrowed pointer,
the iteratee needs to dereference it before using it.
In these situations it can be convenient to lean on Rust's
argument patterns to bind `x` to the actual value, not the pointer.

~~~~
# fn each(v: &[int], op: &fn(v: &int) -> bool) -> bool {
# let mut n = 0;
# while n < v.len() {
# if !op(&v[n]) {
# return false;
# }
# n += 1;
# }
# return true;
# }
# fn contains(v: &[int], elt: int) -> bool {
for each(v) |&x| {
if (x == elt) { return true; }
}
# false
# }
~~~~

`for` syntax only works with stack closures.

> ***Note:*** This is, essentially, a special loop protocol:
> the keywords `break`, `loop`, and `return` work, in varying degree,
> with `while`, `loop`, `do`, and `for` constructs.

# Methods

Methods are like functions except that they always begin with a special argument,
Expand Down Expand Up @@ -2653,6 +2527,7 @@ tutorials on individual topics.
* [Tasks and communication][tasks]
* [Macros][macros]
* [The foreign function interface][ffi]
* [Containers and iterators](tutorial-container.html)

There is further documentation on the [wiki].

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