VC
源代码 /***
*qsort.c - quicksort algorithm; qsort() library function for sorting arrays
*
* Copyright (c) Microsoft Corporation. All rights reserved.
*
*Purpose:
* To implement the qsort() routine for sorting arrays.
*
*******************************************************************************/
#include
#include
#include
#include
/* Always compile this module for speed, not size */
#pragma optimize("t", on)
/* prototypes for local routines */
static void __cdecl shortsort(char *lo, char *hi, size_t width,
int (__cdecl *comp)(const void *, const void *));
static void __cdecl swap(char *p, char *q, size_t width);
/* this parameter defines the cutoff between using quick sort and
insertion sort for arrays; arrays with lengths shorter or equal to the
below value use insertion sort */
#define CUTOFF 8 /* testing shows that this is good value */
/***
*qsort(base, num, wid, comp) - quicksort function for sorting arrays
*
*Purpose:
* quicksort the array of elements
* side effects: sorts in place
* maximum array size is number of elements times size of elements,
* but is limited by the virtual address space of the processor
*
*Entry:
* char *base = pointer to base of array
* size_t num = number of elements in the array
* size_t width = width in bytes of each array element
* int (*comp)() = pointer to function returning analog of strcmp for
* strings, but supplied by user for comparing the array elements.
* it accepts 2 pointers to elements and returns neg if 1<2, 0 if
* 1=2, pos if 1>2.
*
*Exit:
* returns void
*
*Exceptions:
*
*******************************************************************************/
/* sort the array between lo and hi (inclusive) */
#define STKSIZ (8*sizeof(void*) - 2)
void __cdecl qsort (
void *base,
size_t num,
size_t width,
int (__cdecl *comp)(const void *, const void *)
)
{
/* Note: the number of stack entries required is no more than
1 + log2(num), so 30 is sufficient for any array */
char *lo, *hi; /* ends of sub-array currently sorting */
char *mid; /* points to middle of subarray */
char *loguy, *higuy; /* traveling pointers for partition step */
size_t size; /* size of the sub-array */
char *lostk[STKSIZ], *histk[STKSIZ];
int stkptr; /* stack for saving sub-array to be processed */
if (num < 2 || width == 0)
return; /* nothing to do */
stkptr = 0; /* initialize stack */
lo = base;
hi = (char *)base + width * (num-1); /* initialize limits */
/* this entry point is for pseudo-recursion calling: setting
lo and hi and jumping to here is like r
ecursion, but stkptr is
preserved, locals aren't, so we preserve stuff on the stack */
recurse:
size = (hi - lo) / width + 1; /* number of el's to sort */
/* below a certain size, it is faster to use a O(n^2) sorting method */
if (size <= CUTOFF) {
shortsort(lo, hi, width, comp);
}
else {
/* First we pick a partitioning element. The efficiency of the
algorithm demands that we find one that is approximately the median
of the values, but also that we select one fast. We choose the
median of the first, middle, and last elements, to avoid bad
performance in the face of already sorted data, or data that is made
up of multiple sorted runs appended together. Testing shows that a
median-of-three algorithm provides better performance than simply
picking the middle element for the latter case. */
mid = lo + (size / 2) * width; /* find middle element */
/* Sort the first, middle, last elements into order */
if (comp(lo, mid) > 0) {
swap(lo, mid, width);
}
if (comp(lo, hi) > 0) {
swa