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slice.rs
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// Copyright 2012-2014 The Rust Project Developers. See the COPYRIGHT
// file at the top-level directory of this distribution and at
// http://rust-lang.org/COPYRIGHT.
//
// Licensed under the Apache License, Version 2.0 <LICENSE-APACHE or
// http://www.apache.org/licenses/LICENSE-2.0> or the MIT license
// <LICENSE-MIT or http://opensource.org/licenses/MIT>, at your
// option. This file may not be copied, modified, or distributed
// except according to those terms.
/*!
Utilities for vector manipulation
The `vec` module contains useful code to help work with vector values.
Vectors are Rust's list type. Vectors contain zero or more values of
homogeneous types:
```rust
let int_vector = [1,2,3];
let str_vector = ["one", "two", "three"];
```
This is a big module, but for a high-level overview:
## Structs
Several structs that are useful for vectors, such as `Items`, which
represents iteration over a vector.
## Traits
A number of traits add methods that allow you to accomplish tasks with vectors.
Traits defined for the `&[T]` type (a vector slice), have methods that can be
called on either owned vectors, denoted `~[T]`, or on vector slices themselves.
These traits include `ImmutableVector`, and `MutableVector` for the `&mut [T]`
case.
An example is the method `.slice(a, b)` that returns an immutable "view" into
a vector or a vector slice from the index interval `[a, b)`:
```rust
let numbers = [0, 1, 2];
let last_numbers = numbers.slice(1, 3);
// last_numbers is now &[1, 2]
```
Traits defined for the `~[T]` type, like `OwnedVector`, can only be called
on such vectors. These methods deal with adding elements or otherwise changing
the allocation of the vector.
An example is the method `.push(element)` that will add an element at the end
of the vector:
```rust
let mut numbers = vec![0, 1, 2];
numbers.push(7);
// numbers is now vec![0, 1, 2, 7];
```
## Implementations of other traits
Vectors are a very useful type, and so there's several implementations of
traits from other modules. Some notable examples:
* `Clone`
* `Eq`, `Ord`, `TotalEq`, `TotalOrd` -- vectors can be compared,
if the element type defines the corresponding trait.
## Iteration
The method `iter()` returns an iteration value for a vector or a vector slice.
The iterator yields references to the vector's elements, so if the element
type of the vector is `int`, the element type of the iterator is `&int`.
```rust
let numbers = [0, 1, 2];
for &x in numbers.iter() {
println!("{} is a number!", x);
}
```
* `.mut_iter()` returns an iterator that allows modifying each value.
* `.move_iter()` converts an owned vector into an iterator that
moves out a value from the vector each iteration.
* Further iterators exist that split, chunk or permute the vector.
## Function definitions
There are a number of free functions that create or take vectors, for example:
* Creating a vector, like `from_elem` and `from_fn`
* Creating a vector with a given size: `with_capacity`
* Modifying a vector and returning it, like `append`
* Operations on paired elements, like `unzip`.
*/
use mem::transmute;
use clone::Clone;
use cmp::{TotalOrd, Ordering, Less, Greater};
use cmp;
use container::Container;
use iter::*;
use mem::size_of;
use mem;
use ops::Drop;
use option::{None, Option, Some};
use ptr::RawPtr;
use ptr;
use rt::heap::{allocate, deallocate};
use finally::try_finally;
use vec::Vec;
pub use core::slice::{ref_slice, mut_ref_slice, Splits, Windows};
pub use core::slice::{Chunks, Vector, ImmutableVector, ImmutableEqVector};
pub use core::slice::{ImmutableTotalOrdVector, MutableVector, Items, MutItems};
pub use core::slice::{MutSplits, MutChunks};
pub use core::slice::{bytes, MutableCloneableVector};
// Functional utilities
#[allow(missing_doc)]
pub trait VectorVector<T> {
// FIXME #5898: calling these .concat and .connect conflicts with
// StrVector::con{cat,nect}, since they have generic contents.
/// Flattens a vector of vectors of T into a single vector of T.
fn concat_vec(&self) -> Vec<T>;
/// Concatenate a vector of vectors, placing a given separator between each.
fn connect_vec(&self, sep: &T) -> Vec<T>;
}
impl<'a, T: Clone, V: Vector<T>> VectorVector<T> for &'a [V] {
fn concat_vec(&self) -> Vec<T> {
let size = self.iter().fold(0u, |acc, v| acc + v.as_slice().len());
let mut result = Vec::with_capacity(size);
for v in self.iter() {
result.push_all(v.as_slice())
}
result
}
fn connect_vec(&self, sep: &T) -> Vec<T> {
let size = self.iter().fold(0u, |acc, v| acc + v.as_slice().len());
let mut result = Vec::with_capacity(size + self.len());
let mut first = true;
for v in self.iter() {
if first { first = false } else { result.push(sep.clone()) }
result.push_all(v.as_slice())
}
result
}
}
/// An Iterator that yields the element swaps needed to produce
/// a sequence of all possible permutations for an indexed sequence of
/// elements. Each permutation is only a single swap apart.
///
/// The Steinhaus–Johnson–Trotter algorithm is used.
///
/// Generates even and odd permutations alternately.
///
/// The last generated swap is always (0, 1), and it returns the
/// sequence to its initial order.
pub struct ElementSwaps {
sdir: Vec<SizeDirection>,
/// If true, emit the last swap that returns the sequence to initial state
emit_reset: bool,
swaps_made : uint,
}
impl ElementSwaps {
/// Create an `ElementSwaps` iterator for a sequence of `length` elements
pub fn new(length: uint) -> ElementSwaps {
// Initialize `sdir` with a direction that position should move in
// (all negative at the beginning) and the `size` of the
// element (equal to the original index).
ElementSwaps{
emit_reset: true,
sdir: range(0, length).map(|i| SizeDirection{ size: i, dir: Neg }).collect(),
swaps_made: 0
}
}
}
enum Direction { Pos, Neg }
/// An Index and Direction together
struct SizeDirection {
size: uint,
dir: Direction,
}
impl Iterator<(uint, uint)> for ElementSwaps {
#[inline]
fn next(&mut self) -> Option<(uint, uint)> {
fn new_pos(i: uint, s: Direction) -> uint {
i + match s { Pos => 1, Neg => -1 }
}
// Find the index of the largest mobile element:
// The direction should point into the vector, and the
// swap should be with a smaller `size` element.
let max = self.sdir.iter().map(|&x| x).enumerate()
.filter(|&(i, sd)|
new_pos(i, sd.dir) < self.sdir.len() &&
self.sdir.get(new_pos(i, sd.dir)).size < sd.size)
.max_by(|&(_, sd)| sd.size);
match max {
Some((i, sd)) => {
let j = new_pos(i, sd.dir);
self.sdir.as_mut_slice().swap(i, j);
// Swap the direction of each larger SizeDirection
for x in self.sdir.mut_iter() {
if x.size > sd.size {
x.dir = match x.dir { Pos => Neg, Neg => Pos };
}
}
self.swaps_made += 1;
Some((i, j))
},
None => if self.emit_reset {
self.emit_reset = false;
if self.sdir.len() > 1 {
// The last swap
self.swaps_made += 1;
Some((0, 1))
} else {
// Vector is of the form [] or [x], and the only permutation is itself
self.swaps_made += 1;
Some((0,0))
}
} else { None }
}
}
#[inline]
fn size_hint(&self) -> (uint, Option<uint>) {
// For a vector of size n, there are exactly n! permutations.
let n = range(2, self.sdir.len() + 1).product();
(n - self.swaps_made, Some(n - self.swaps_made))
}
}
/// An Iterator that uses `ElementSwaps` to iterate through
/// all possible permutations of a vector.
///
/// The first iteration yields a clone of the vector as it is,
/// then each successive element is the vector with one
/// swap applied.
///
/// Generates even and odd permutations alternately.
pub struct Permutations<T> {
swaps: ElementSwaps,
v: ~[T],
}
impl<T: Clone> Iterator<~[T]> for Permutations<T> {
#[inline]
fn next(&mut self) -> Option<~[T]> {
match self.swaps.next() {
None => None,
Some((0,0)) => Some(self.v.clone()),
Some((a, b)) => {
let elt = self.v.clone();
self.v.swap(a, b);
Some(elt)
}
}
}
#[inline]
fn size_hint(&self) -> (uint, Option<uint>) {
self.swaps.size_hint()
}
}
/// Extension methods for vector slices with cloneable elements
pub trait CloneableVector<T> {
/// Copy `self` into a new owned vector
fn to_owned(&self) -> ~[T];
/// Convert `self` into an owned vector, not making a copy if possible.
fn into_owned(self) -> ~[T];
}
/// Extension methods for vector slices
impl<'a, T: Clone> CloneableVector<T> for &'a [T] {
/// Returns a copy of `v`.
#[inline]
fn to_owned(&self) -> ~[T] {
use RawVec = core::raw::Vec;
use num::{CheckedAdd, CheckedMul};
use option::Expect;
let len = self.len();
let data_size = len.checked_mul(&mem::size_of::<T>());
let data_size = data_size.expect("overflow in to_owned()");
let size = mem::size_of::<RawVec<()>>().checked_add(&data_size);
let size = size.expect("overflow in to_owned()");
unsafe {
// this should pass the real required alignment
let ret = allocate(size, 8) as *mut RawVec<()>;
let a_size = mem::size_of::<T>();
let a_size = if a_size == 0 {1} else {a_size};
(*ret).fill = len * a_size;
(*ret).alloc = len * a_size;
// Be careful with the following loop. We want it to be optimized
// to a memcpy (or something similarly fast) when T is Copy. LLVM
// is easily confused, so any extra operations during the loop can
// prevent this optimization.
let mut i = 0;
let p = &mut (*ret).data as *mut _ as *mut T;
try_finally(
&mut i, (),
|i, ()| while *i < len {
mem::overwrite(
&mut(*p.offset(*i as int)),
self.unsafe_ref(*i).clone());
*i += 1;
},
|i| if *i < len {
// we must be failing, clean up after ourselves
for j in range(0, *i as int) {
ptr::read(&*p.offset(j));
}
// FIXME: #13994 (should pass align and size here)
deallocate(ret as *mut u8, 0, 8);
});
mem::transmute(ret)
}
}
#[inline(always)]
fn into_owned(self) -> ~[T] { self.to_owned() }
}
/// Extension methods for owned vectors
impl<T: Clone> CloneableVector<T> for ~[T] {
#[inline]
fn to_owned(&self) -> ~[T] { self.clone() }
#[inline(always)]
fn into_owned(self) -> ~[T] { self }
}
/// Extension methods for vectors containing `Clone` elements.
pub trait ImmutableCloneableVector<T> {
/// Partitions the vector into two vectors `(A,B)`, where all
/// elements of `A` satisfy `f` and all elements of `B` do not.
fn partitioned(&self, f: |&T| -> bool) -> (Vec<T>, Vec<T>);
/// Create an iterator that yields every possible permutation of the
/// vector in succession.
fn permutations(self) -> Permutations<T>;
}
impl<'a,T:Clone> ImmutableCloneableVector<T> for &'a [T] {
#[inline]
fn partitioned(&self, f: |&T| -> bool) -> (Vec<T>, Vec<T>) {
let mut lefts = Vec::new();
let mut rights = Vec::new();
for elt in self.iter() {
if f(elt) {
lefts.push((*elt).clone());
} else {
rights.push((*elt).clone());
}
}
(lefts, rights)
}
fn permutations(self) -> Permutations<T> {
Permutations{
swaps: ElementSwaps::new(self.len()),
v: self.to_owned(),
}
}
}
/// Extension methods for owned vectors.
pub trait OwnedVector<T> {
/// Creates a consuming iterator, that is, one that moves each
/// value out of the vector (from start to end). The vector cannot
/// be used after calling this.
///
/// # Examples
///
/// ```rust
/// let v = ~["a".to_owned(), "b".to_owned()];
/// for s in v.move_iter() {
/// // s has type ~str, not &~str
/// println!("{}", s);
/// }
/// ```
fn move_iter(self) -> MoveItems<T>;
/**
* Partitions the vector into two vectors `(A,B)`, where all
* elements of `A` satisfy `f` and all elements of `B` do not.
*/
fn partition(self, f: |&T| -> bool) -> (Vec<T>, Vec<T>);
}
impl<T> OwnedVector<T> for ~[T] {
#[inline]
fn move_iter(self) -> MoveItems<T> {
unsafe {
let iter = transmute(self.iter());
let ptr = transmute(self);
MoveItems { allocation: ptr, iter: iter }
}
}
#[inline]
fn partition(self, f: |&T| -> bool) -> (Vec<T>, Vec<T>) {
let mut lefts = Vec::new();
let mut rights = Vec::new();
for elt in self.move_iter() {
if f(&elt) {
lefts.push(elt);
} else {
rights.push(elt);
}
}
(lefts, rights)
}
}
fn insertion_sort<T>(v: &mut [T], compare: |&T, &T| -> Ordering) {
let len = v.len() as int;
let buf_v = v.as_mut_ptr();
// 1 <= i < len;
for i in range(1, len) {
// j satisfies: 0 <= j <= i;
let mut j = i;
unsafe {
// `i` is in bounds.
let read_ptr = buf_v.offset(i) as *T;
// find where to insert, we need to do strict <,
// rather than <=, to maintain stability.
// 0 <= j - 1 < len, so .offset(j - 1) is in bounds.
while j > 0 &&
compare(&*read_ptr, &*buf_v.offset(j - 1)) == Less {
j -= 1;
}
// shift everything to the right, to make space to
// insert this value.
// j + 1 could be `len` (for the last `i`), but in
// that case, `i == j` so we don't copy. The
// `.offset(j)` is always in bounds.
if i != j {
let tmp = ptr::read(read_ptr);
ptr::copy_memory(buf_v.offset(j + 1),
&*buf_v.offset(j),
(i - j) as uint);
ptr::copy_nonoverlapping_memory(buf_v.offset(j),
&tmp as *T,
1);
mem::forget(tmp);
}
}
}
}
fn merge_sort<T>(v: &mut [T], compare: |&T, &T| -> Ordering) {
// warning: this wildly uses unsafe.
static BASE_INSERTION: uint = 32;
static LARGE_INSERTION: uint = 16;
// FIXME #12092: smaller insertion runs seems to make sorting
// vectors of large elements a little faster on some platforms,
// but hasn't been tested/tuned extensively
let insertion = if size_of::<T>() <= 16 {
BASE_INSERTION
} else {
LARGE_INSERTION
};
let len = v.len();
// short vectors get sorted in-place via insertion sort to avoid allocations
if len <= insertion {
insertion_sort(v, compare);
return;
}
// allocate some memory to use as scratch memory, we keep the
// length 0 so we can keep shallow copies of the contents of `v`
// without risking the dtors running on an object twice if
// `compare` fails.
let mut working_space = Vec::with_capacity(2 * len);
// these both are buffers of length `len`.
let mut buf_dat = working_space.as_mut_ptr();
let mut buf_tmp = unsafe {buf_dat.offset(len as int)};
// length `len`.
let buf_v = v.as_ptr();
// step 1. sort short runs with insertion sort. This takes the
// values from `v` and sorts them into `buf_dat`, leaving that
// with sorted runs of length INSERTION.
// We could hardcode the sorting comparisons here, and we could
// manipulate/step the pointers themselves, rather than repeatedly
// .offset-ing.
for start in range_step(0, len, insertion) {
// start <= i < len;
for i in range(start, cmp::min(start + insertion, len)) {
// j satisfies: start <= j <= i;
let mut j = i as int;
unsafe {
// `i` is in bounds.
let read_ptr = buf_v.offset(i as int);
// find where to insert, we need to do strict <,
// rather than <=, to maintain stability.
// start <= j - 1 < len, so .offset(j - 1) is in
// bounds.
while j > start as int &&
compare(&*read_ptr, &*buf_dat.offset(j - 1)) == Less {
j -= 1;
}
// shift everything to the right, to make space to
// insert this value.
// j + 1 could be `len` (for the last `i`), but in
// that case, `i == j` so we don't copy. The
// `.offset(j)` is always in bounds.
ptr::copy_memory(buf_dat.offset(j + 1),
&*buf_dat.offset(j),
i - j as uint);
ptr::copy_nonoverlapping_memory(buf_dat.offset(j), read_ptr, 1);
}
}
}
// step 2. merge the sorted runs.
let mut width = insertion;
while width < len {
// merge the sorted runs of length `width` in `buf_dat` two at
// a time, placing the result in `buf_tmp`.
// 0 <= start <= len.
for start in range_step(0, len, 2 * width) {
// manipulate pointers directly for speed (rather than
// using a `for` loop with `range` and `.offset` inside
// that loop).
unsafe {
// the end of the first run & start of the
// second. Offset of `len` is defined, since this is
// precisely one byte past the end of the object.
let right_start = buf_dat.offset(cmp::min(start + width, len) as int);
// end of the second. Similar reasoning to the above re safety.
let right_end_idx = cmp::min(start + 2 * width, len);
let right_end = buf_dat.offset(right_end_idx as int);
// the pointers to the elements under consideration
// from the two runs.
// both of these are in bounds.
let mut left = buf_dat.offset(start as int);
let mut right = right_start;
// where we're putting the results, it is a run of
// length `2*width`, so we step it once for each step
// of either `left` or `right`. `buf_tmp` has length
// `len`, so these are in bounds.
let mut out = buf_tmp.offset(start as int);
let out_end = buf_tmp.offset(right_end_idx as int);
while out < out_end {
// Either the left or the right run are exhausted,
// so just copy the remainder from the other run
// and move on; this gives a huge speed-up (order
// of 25%) for mostly sorted vectors (the best
// case).
if left == right_start {
// the number remaining in this run.
let elems = (right_end as uint - right as uint) / mem::size_of::<T>();
ptr::copy_nonoverlapping_memory(out, &*right, elems);
break;
} else if right == right_end {
let elems = (right_start as uint - left as uint) / mem::size_of::<T>();
ptr::copy_nonoverlapping_memory(out, &*left, elems);
break;
}
// check which side is smaller, and that's the
// next element for the new run.
// `left < right_start` and `right < right_end`,
// so these are valid.
let to_copy = if compare(&*left, &*right) == Greater {
step(&mut right)
} else {
step(&mut left)
};
ptr::copy_nonoverlapping_memory(out, &*to_copy, 1);
step(&mut out);
}
}
}
mem::swap(&mut buf_dat, &mut buf_tmp);
width *= 2;
}
// write the result to `v` in one go, so that there are never two copies
// of the same object in `v`.
unsafe {
ptr::copy_nonoverlapping_memory(v.as_mut_ptr(), &*buf_dat, len);
}
// increment the pointer, returning the old pointer.
#[inline(always)]
unsafe fn step<T>(ptr: &mut *mut T) -> *mut T {
let old = *ptr;
*ptr = ptr.offset(1);
old
}
}
/// Extension methods for vectors such that their elements are
/// mutable.
pub trait MutableVectorAllocating<'a, T> {
/// Sort the vector, in place, using `compare` to compare
/// elements.
///
/// This sort is `O(n log n)` worst-case and stable, but allocates
/// approximately `2 * n`, where `n` is the length of `self`.
///
/// # Example
///
/// ```rust
/// let mut v = [5i, 4, 1, 3, 2];
/// v.sort_by(|a, b| a.cmp(b));
/// assert!(v == [1, 2, 3, 4, 5]);
///
/// // reverse sorting
/// v.sort_by(|a, b| b.cmp(a));
/// assert!(v == [5, 4, 3, 2, 1]);
/// ```
fn sort_by(self, compare: |&T, &T| -> Ordering);
/**
* Consumes `src` and moves as many elements as it can into `self`
* from the range [start,end).
*
* Returns the number of elements copied (the shorter of self.len()
* and end - start).
*
* # Arguments
*
* * src - A mutable vector of `T`
* * start - The index into `src` to start copying from
* * end - The index into `str` to stop copying from
*/
fn move_from(self, src: ~[T], start: uint, end: uint) -> uint;
}
impl<'a,T> MutableVectorAllocating<'a, T> for &'a mut [T] {
#[inline]
fn sort_by(self, compare: |&T, &T| -> Ordering) {
merge_sort(self, compare)
}
#[inline]
fn move_from(self, mut src: ~[T], start: uint, end: uint) -> uint {
for (a, b) in self.mut_iter().zip(src.mut_slice(start, end).mut_iter()) {
mem::swap(a, b);
}
cmp::min(self.len(), end-start)
}
}
/// Methods for mutable vectors with orderable elements, such as
/// in-place sorting.
pub trait MutableTotalOrdVector<T> {
/// Sort the vector, in place.
///
/// This is equivalent to `self.sort_by(|a, b| a.cmp(b))`.
///
/// # Example
///
/// ```rust
/// let mut v = [-5, 4, 1, -3, 2];
///
/// v.sort();
/// assert!(v == [-5, -3, 1, 2, 4]);
/// ```
fn sort(self);
}
impl<'a, T: TotalOrd> MutableTotalOrdVector<T> for &'a mut [T] {
#[inline]
fn sort(self) {
self.sort_by(|a,b| a.cmp(b))
}
}
/// Unsafe operations
pub mod raw {
pub use core::slice::raw::{buf_as_slice, mut_buf_as_slice};
pub use core::slice::raw::{shift_ptr, pop_ptr};
}
/// An iterator that moves out of a vector.
pub struct MoveItems<T> {
allocation: *mut u8, // the block of memory allocated for the vector
iter: Items<'static, T>
}
impl<T> Iterator<T> for MoveItems<T> {
#[inline]
fn next(&mut self) -> Option<T> {
unsafe {
self.iter.next().map(|x| ptr::read(x))
}
}
#[inline]
fn size_hint(&self) -> (uint, Option<uint>) {
self.iter.size_hint()
}
}
impl<T> DoubleEndedIterator<T> for MoveItems<T> {
#[inline]
fn next_back(&mut self) -> Option<T> {
unsafe {
self.iter.next_back().map(|x| ptr::read(x))
}
}
}
#[unsafe_destructor]
impl<T> Drop for MoveItems<T> {
fn drop(&mut self) {
// destroy the remaining elements
for _x in *self {}
unsafe {
// FIXME: #13994 (should pass align and size here)
deallocate(self.allocation, 0, 8)
}
}
}
#[cfg(test)]
mod tests {
use prelude::*;
use cmp::*;
use mem;
use owned::Box;
use rand::{Rng, task_rng};
use slice::*;
fn square(n: uint) -> uint { n * n }
fn is_odd(n: &uint) -> bool { *n % 2u == 1u }
#[test]
fn test_from_fn() {
// Test on-stack from_fn.
let mut v = Vec::from_fn(3u, square);
{
let v = v.as_slice();
assert_eq!(v.len(), 3u);
assert_eq!(v[0], 0u);
assert_eq!(v[1], 1u);
assert_eq!(v[2], 4u);
}
// Test on-heap from_fn.
v = Vec::from_fn(5u, square);
{
let v = v.as_slice();
assert_eq!(v.len(), 5u);
assert_eq!(v[0], 0u);
assert_eq!(v[1], 1u);
assert_eq!(v[2], 4u);
assert_eq!(v[3], 9u);
assert_eq!(v[4], 16u);
}
}
#[test]
fn test_from_elem() {
// Test on-stack from_elem.
let mut v = Vec::from_elem(2u, 10u);
{
let v = v.as_slice();
assert_eq!(v.len(), 2u);
assert_eq!(v[0], 10u);
assert_eq!(v[1], 10u);
}
// Test on-heap from_elem.
v = Vec::from_elem(6u, 20u);
{
let v = v.as_slice();
assert_eq!(v[0], 20u);
assert_eq!(v[1], 20u);
assert_eq!(v[2], 20u);
assert_eq!(v[3], 20u);
assert_eq!(v[4], 20u);
assert_eq!(v[5], 20u);
}
}
#[test]
fn test_is_empty() {
let xs: [int, ..0] = [];
assert!(xs.is_empty());
assert!(![0].is_empty());
}
#[test]
fn test_len_divzero() {
type Z = [i8, ..0];
let v0 : &[Z] = &[];
let v1 : &[Z] = &[[]];
let v2 : &[Z] = &[[], []];
assert_eq!(mem::size_of::<Z>(), 0);
assert_eq!(v0.len(), 0);
assert_eq!(v1.len(), 1);
assert_eq!(v2.len(), 2);
}
#[test]
fn test_get() {
let mut a = box [11];
assert_eq!(a.get(1), None);
a = box [11, 12];
assert_eq!(a.get(1).unwrap(), &12);
a = box [11, 12, 13];
assert_eq!(a.get(1).unwrap(), &12);
}
#[test]
fn test_head() {
let mut a = box [];
assert_eq!(a.head(), None);
a = box [11];
assert_eq!(a.head().unwrap(), &11);
a = box [11, 12];
assert_eq!(a.head().unwrap(), &11);
}
#[test]
fn test_tail() {
let mut a = box [11];
assert_eq!(a.tail(), &[]);
a = box [11, 12];
assert_eq!(a.tail(), &[12]);
}
#[test]
#[should_fail]
fn test_tail_empty() {
let a: ~[int] = box [];
a.tail();
}
#[test]
fn test_tailn() {
let mut a = box [11, 12, 13];
assert_eq!(a.tailn(0), &[11, 12, 13]);
a = box [11, 12, 13];
assert_eq!(a.tailn(2), &[13]);
}
#[test]
#[should_fail]
fn test_tailn_empty() {
let a: ~[int] = box [];
a.tailn(2);
}
#[test]
fn test_init() {
let mut a = box [11];
assert_eq!(a.init(), &[]);
a = box [11, 12];
assert_eq!(a.init(), &[11]);
}
#[test]
#[should_fail]
fn test_init_empty() {
let a: ~[int] = box [];
a.init();
}
#[test]
fn test_initn() {
let mut a = box [11, 12, 13];
assert_eq!(a.initn(0), &[11, 12, 13]);
a = box [11, 12, 13];
assert_eq!(a.initn(2), &[11]);
}
#[test]
#[should_fail]
fn test_initn_empty() {
let a: ~[int] = box [];
a.initn(2);
}
#[test]
fn test_last() {
let mut a = box [];
assert_eq!(a.last(), None);
a = box [11];
assert_eq!(a.last().unwrap(), &11);
a = box [11, 12];
assert_eq!(a.last().unwrap(), &12);
}
#[test]
fn test_slice() {
// Test fixed length vector.
let vec_fixed = [1, 2, 3, 4];
let v_a = vec_fixed.slice(1u, vec_fixed.len()).to_owned();
assert_eq!(v_a.len(), 3u);
assert_eq!(v_a[0], 2);
assert_eq!(v_a[1], 3);
assert_eq!(v_a[2], 4);
// Test on stack.
let vec_stack = &[1, 2, 3];
let v_b = vec_stack.slice(1u, 3u).to_owned();
assert_eq!(v_b.len(), 2u);
assert_eq!(v_b[0], 2);
assert_eq!(v_b[1], 3);
// Test `Box<[T]>`
let vec_unique = box [1, 2, 3, 4, 5, 6];
let v_d = vec_unique.slice(1u, 6u).to_owned();
assert_eq!(v_d.len(), 5u);
assert_eq!(v_d[0], 2);
assert_eq!(v_d[1], 3);
assert_eq!(v_d[2], 4);
assert_eq!(v_d[3], 5);
assert_eq!(v_d[4], 6);
}
#[test]
fn test_slice_from() {
let vec = &[1, 2, 3, 4];
assert_eq!(vec.slice_from(0), vec);
assert_eq!(vec.slice_from(2), &[3, 4]);
assert_eq!(vec.slice_from(4), &[]);
}
#[test]
fn test_slice_to() {
let vec = &[1, 2, 3, 4];
assert_eq!(vec.slice_to(4), vec);
assert_eq!(vec.slice_to(2), &[1, 2]);
assert_eq!(vec.slice_to(0), &[]);
}
#[test]
fn test_pop() {
let mut v = vec![5];
let e = v.pop();
assert_eq!(v.len(), 0);
assert_eq!(e, Some(5));
let f = v.pop();
assert_eq!(f, None);
let g = v.pop();
assert_eq!(g, None);
}
#[test]
fn test_swap_remove() {
let mut v = vec![1, 2, 3, 4, 5];
let mut e = v.swap_remove(0);