/* Module: sort Sorting methods */ import vec::{len, slice}; export merge_sort; export quick_sort; export quick_sort3; /* Type: lteq */ type lteq = block(T, T) -> bool; /* Function: merge_sort Merge sort. Returns a new vector containing the sorted list. Has worst case O(n log n) performance, best case O(n), but is not space efficient. This is a stable sort. */ fn merge_sort(le: lteq, v: [const T]) -> [T] { fn merge(le: lteq, a: [T], b: [T]) -> [T] { let rs: [T] = []; let a_len: uint = len::(a); let a_ix: uint = 0u; let b_len: uint = len::(b); let b_ix: uint = 0u; while a_ix < a_len && b_ix < b_len { if le(a[a_ix], b[b_ix]) { rs += [a[a_ix]]; a_ix += 1u; } else { rs += [b[b_ix]]; b_ix += 1u; } } rs += slice::(a, a_ix, a_len); rs += slice::(b, b_ix, b_len); ret rs; } let v_len: uint = len::(v); if v_len == 0u { ret []; } if v_len == 1u { ret [v[0]]; } let mid: uint = v_len / 2u; let a: [T] = slice::(v, 0u, mid); let b: [T] = slice::(v, mid, v_len); ret merge::(le, merge_sort::(le, a), merge_sort::(le, b)); } fn part(compare_func: lteq, arr: [mutable T], left: uint, right: uint, pivot: uint) -> uint { let pivot_value = arr[pivot]; arr[pivot] <-> arr[right]; let storage_index: uint = left; let i: uint = left; while i < right { if compare_func(copy arr[i], pivot_value) { arr[i] <-> arr[storage_index]; storage_index += 1u; } i += 1u; } arr[storage_index] <-> arr[right]; ret storage_index; } fn qsort(compare_func: lteq, arr: [mutable T], left: uint, right: uint) { if right > left { let pivot = (left + right) / 2u; let new_pivot = part::(compare_func, arr, left, right, pivot); if new_pivot != 0u { // Need to do this check before recursing due to overflow qsort::(compare_func, arr, left, new_pivot - 1u); } qsort::(compare_func, arr, new_pivot + 1u, right); } } /* Function: quick_sort Quicksort. Sorts a mutable vector in place. Has worst case O(n^2) performance, average case O(n log n). This is an unstable sort. */ fn quick_sort(compare_func: lteq, arr: [mutable T]) { if len::(arr) == 0u { ret; } qsort::(compare_func, arr, 0u, len::(arr) - 1u); } fn qsort3(compare_func_lt: lteq, compare_func_eq: lteq, arr: [mutable T], left: int, right: int) { 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; while compare_func_lt(copy arr[i], v) { i += 1; } j -= 1; while compare_func_lt(v, copy arr[j]) { if j == left { break; } j -= 1; } if i >= j { break; } arr[i] <-> arr[j]; if compare_func_eq(copy arr[i], v) { p += 1; arr[p] <-> arr[i]; } if compare_func_eq(v, copy arr[j]) { q -= 1; arr[j] <-> arr[q]; } } arr[i] <-> arr[right]; j = i - 1; i += 1; let k: int = left; while k < p { arr[k] <-> arr[j]; k += 1; j -= 1; if k == len::(arr) as int { break; } } k = right - 1; while k > q { arr[i] <-> arr[k]; k -= 1; i += 1; if k == 0 { break; } } qsort3::(compare_func_lt, compare_func_eq, arr, left, j); qsort3::(compare_func_lt, compare_func_eq, arr, i, right); } // FIXME: This should take lt and eq types /* Function: quick_sort3 Fancy quicksort. Sorts a mutable vector in place. Based on algorithm presented by Sedgewick and Bentley . According to these slides this is the algorithm of choice for 'randomly ordered keys, abstract compare' & 'small number of key values'. This is an unstable sort. */ fn quick_sort3(compare_func_lt: lteq, compare_func_eq: lteq, arr: [mutable T]) { if len::(arr) == 0u { ret; } qsort3::(compare_func_lt, compare_func_eq, arr, 0, (len::(arr) as int) - 1); } // Local Variables: // mode: rust; // fill-column: 78; // indent-tabs-mode: nil // c-basic-offset: 4 // buffer-file-coding-system: utf-8-unix // End: