rust/src/lib/sort.rs

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import vec::len;
import vec::slice;
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export merge_sort;
export quick_sort;
export quick_sort3;
type lteq<T> = block(&T, &T) -> bool ;
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fn merge_sort<@T>(le: &lteq<T>, v: &[T]) -> [T] {
fn merge<@T>(le: &lteq<T>, a: &[T], b: &[T]) -> [T] {
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let rs: [T] = ~[];
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let a_len: uint = len[T](a);
let a_ix: uint = 0u;
let b_len: uint = len[T](b);
let b_ix: uint = 0u;
while a_ix < a_len && b_ix < b_len {
if le(a.(a_ix), b.(b_ix)) {
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rs += ~[a.(a_ix)];
a_ix += 1u;
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} else { rs += ~[b.(b_ix)]; b_ix += 1u; }
}
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rs += slice[T](a, a_ix, a_len);
rs += slice[T](b, b_ix, b_len);
ret rs;
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}
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let v_len: uint = len[T](v);
if v_len <= 1u { ret v; }
let mid: uint = v_len / 2u;
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let a: [T] = slice[T](v, 0u, mid);
let b: [T] = slice[T](v, mid, v_len);
ret merge[T](le, merge_sort[T](le, a), merge_sort[T](le, b));
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}
fn swap<@T>(arr: &[mutable T], x: uint, y: uint) {
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let a = arr.(x);
arr.(x) = arr.(y);
arr.(y) = a;
}
fn part<@T>(compare_func: &lteq<T>, arr: &[mutable T], left: uint,
right: uint, pivot: uint) -> uint {
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let pivot_value = arr.(pivot);
swap[T](arr, pivot, right);
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let storage_index: uint = left;
let i: uint = left;
while i < right {
if compare_func({ arr.(i) }, pivot_value) {
swap[T](arr, i, storage_index);
storage_index += 1u;
}
i += 1u;
}
swap[T](arr, storage_index, right);
ret storage_index;
}
fn qsort<@T>(compare_func: &lteq<T>, arr: &[mutable T], left: uint,
right: uint) {
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if right > left {
let pivot = (left + right) / 2u;
let new_pivot = part[T](compare_func, arr, left, right, pivot);
if new_pivot != 0u {
// Need to do this check before recursing due to overflow
qsort[T](compare_func, arr, left, new_pivot - 1u);
}
qsort[T](compare_func, arr, new_pivot + 1u, right);
}
}
fn quick_sort<@T>(compare_func: &lteq<T>, arr: &[mutable T]) {
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if len[T](arr) == 0u { ret; }
qsort[T](compare_func, arr, 0u, len[T](arr) - 1u);
}
// Based on algorithm presented by Sedgewick and Bentley here:
// http://www.cs.princeton.edu/~rs/talks/QuicksortIsOptimal.pdf
// According to these slides this is the algorithm of choice for
// 'randomly ordered keys, abstract compare' & 'small number of key values'
fn qsort3<@T>(compare_func_lt: &lteq<T>, compare_func_eq: &lteq<T>,
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arr: &[mutable T], left: int, right: int) {
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if right <= left { ret; }
let v: T = arr.(right);
let i: int = left - 1;
let j: int = right;
let p: int = i;
let q: int = j;
while true {
i += 1;
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while compare_func_lt({ arr.(i) }, v) { i += 1; }
j -= 1;
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while compare_func_lt(v, { arr.(j) }) {
if j == left { break; }
j -= 1;
}
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if i >= j { break; }
swap[T](arr, i as uint, j as uint);
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if compare_func_eq({ arr.(i) }, v) {
p += 1;
swap[T](arr, p as uint, i as uint);
}
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if compare_func_eq(v, { arr.(j) }) {
q -= 1;
swap[T](arr, j as uint, q as uint);
}
}
swap[T](arr, i as uint, right as uint);
j = i - 1;
i += 1;
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let k: int = left;
while k < p {
swap[T](arr, k as uint, j as uint);
k += 1;
j -= 1;
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if k == len[T](arr) as int { break; }
}
k = right - 1;
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while k > q {
swap[T](arr, i as uint, k as uint);
k -= 1;
i += 1;
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if k == 0 { break; }
}
qsort3[T](compare_func_lt, compare_func_eq, arr, left, j);
qsort3[T](compare_func_lt, compare_func_eq, arr, i, right);
}
fn quick_sort3<@T>(compare_func_lt: &lteq<T>, compare_func_eq: &lteq<T>,
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arr: &[mutable T]) {
if len[T](arr) == 0u { ret; }
qsort3[T](compare_func_lt, compare_func_eq, arr, 0,
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(len[T](arr) as int) - 1);
}
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// Local Variables:
// mode: rust;
// fill-column: 78;
// indent-tabs-mode: nil
// c-basic-offset: 4
// buffer-file-coding-system: utf-8-unix
// compile-command: "make -k -C $RBUILD 2>&1 | sed -e 's/\\/x\\//x:\\//g'";
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// End: