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📄 qsort.c

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/*- * Copyright (c) 1980, 1983, 1990 The Regents of the University of California. * All rights reserved. * * Redistribution and use in source and binary forms, with or without * modification, are permitted provided that the following conditions * are met: * 1. Redistributions of source code must retain the above copyright *    notice, this list of conditions and the following disclaimer. * 2. Redistributions in binary form must reproduce the above copyright *    notice, this list of conditions and the following disclaimer in the *    documentation and/or other materials provided with the distribution. * 3. All advertising materials mentioning features or use of this software *    must display the following acknowledgement: *	This product includes software developed by the University of *	California, Berkeley and its contributors. * 4. Neither the name of the University nor the names of its contributors *    may be used to endorse or promote products derived from this software *    without specific prior written permission. * * THIS SOFTWARE IS PROVIDED BY THE REGENTS AND CONTRIBUTORS ``AS IS'' AND * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE * ARE DISCLAIMED.  IN NO EVENT SHALL THE REGENTS OR CONTRIBUTORS BE LIABLE * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS * OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) * HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT * LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY * OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF * SUCH DAMAGE. */#if defined(LIBC_SCCS) && !defined(lint)static char sccsid[] = "@(#)qsort.c	5.9 (Berkeley) 2/23/91";#endif /* LIBC_SCCS and not lint */#include <sys/types.h>#include <stdlib.h>#if __STDC__ || defined(__cplusplus)#define __P(s) s#else#define __P(s) ()#endif/* * MTHRESH is the smallest partition for which we compare for a median * value instead of using the middle value. */#define	MTHRESH	6/* * THRESH is the minimum number of entries in a partition for continued * partitioning. */#define	THRESH	4voidbsd_qsort(bot, nmemb, size, compar)	void *bot;	size_t nmemb, size;	int (*compar) __P((const void *, const void *));{	static void insertion_sort(), quick_sort();	if (nmemb <= 1)		return;	if (nmemb >= THRESH)		quick_sort(bot, nmemb, size, compar);	else		insertion_sort(bot, nmemb, size, compar);}/* * Swap two areas of size number of bytes.  Although qsort(3) permits random * blocks of memory to be sorted, sorting pointers is almost certainly the * common case (and, were it not, could easily be made so).  Regardless, it * isn't worth optimizing; the SWAP's get sped up by the cache, and pointer * arithmetic gets lost in the time required for comparison function calls. */#define	SWAP(a, b) { \	cnt = size; \	do { \		ch = *a; \		*a++ = *b; \		*b++ = ch; \	} while (--cnt); \}/* * Knuth, Vol. 3, page 116, Algorithm Q, step b, argues that a single pass * of straight insertion sort after partitioning is complete is better than * sorting each small partition as it is created.  This isn't correct in this * implementation because comparisons require at least one (and often two) * function calls and are likely to be the dominating expense of the sort. * Doing a final insertion sort does more comparisons than are necessary * because it compares the "edges" and medians of the partitions which are * known to be already sorted. * * This is also the reasoning behind selecting a small THRESH value (see * Knuth, page 122, equation 26), since the quicksort algorithm does less * comparisons than the insertion sort. */#define	SORT(bot, n) { \	if (n > 1) \		if (n == 2) { \			t1 = bot + size; \			if (compar(t1, bot) < 0) \				SWAP(t1, bot); \		} else \			insertion_sort(bot, n, size, compar); \}static voidquick_sort(bot, nmemb, size, compar)	register char *bot;	register int size;	int nmemb, (*compar)();{	register int cnt;	register u_char ch;	register char *top, *mid, *t1, *t2;	register int n1, n2;	char *bsv;	static void insertion_sort();	/* bot and nmemb must already be set. */partition:	/* find mid and top elements */	mid = bot + size * (nmemb >> 1);	top = bot + (nmemb - 1) * size;	/*	 * Find the median of the first, last and middle element (see Knuth,	 * Vol. 3, page 123, Eq. 28).  This test order gets the equalities	 * right.	 */	if (nmemb >= MTHRESH) {		n1 = compar(bot, mid);		n2 = compar(mid, top);		if (n1 < 0 && n2 > 0)			t1 = compar(bot, top) < 0 ? top : bot;		else if (n1 > 0 && n2 < 0)			t1 = compar(bot, top) > 0 ? top : bot;		else			t1 = mid;		/* if mid element not selected, swap selection there */		if (t1 != mid) {			SWAP(t1, mid);			mid -= size;		}	}	/* Standard quicksort, Knuth, Vol. 3, page 116, Algorithm Q. */#define	didswap	n1#define	newbot	t1#define	replace	t2	didswap = 0;	for (bsv = bot;;) {		for (; bot < mid && compar(bot, mid) <= 0; bot += size);		while (top > mid) {			if (compar(mid, top) <= 0) {				top -= size;				continue;			}			newbot = bot + size;	/* value of bot after swap */			if (bot == mid)		/* top <-> mid, mid == top */				replace = mid = top;			else {			/* bot <-> top */				replace = top;				top -= size;			}			goto swap;		}		if (bot == mid)			break;		/* bot <-> mid, mid == bot */		replace = mid;		newbot = mid = bot;		/* value of bot after swap */		top -= size;swap:		SWAP(bot, replace);		bot = newbot;		didswap = 1;	}	/*	 * Quicksort behaves badly in the presence of data which is already	 * sorted (see Knuth, Vol. 3, page 119) going from O N lg N to O N^2.	 * To avoid this worst case behavior, if a re-partitioning occurs	 * without swapping any elements, it is not further partitioned and	 * is insert sorted.  This wins big with almost sorted data sets and	 * only loses if the data set is very strangely partitioned.  A fix	 * for those data sets would be to return prematurely if the insertion	 * sort routine is forced to make an excessive number of swaps, and	 * continue the partitioning.	 */	if (!didswap) {		insertion_sort(bsv, nmemb, size, compar);		return;	}	/*	 * Re-partition or sort as necessary.  Note that the mid element	 * itself is correctly positioned and can be ignored.	 */#define	nlower	n1#define	nupper	n2	bot = bsv;	nlower = (mid - bot) / size;	/* size of lower partition */	mid += size;	nupper = nmemb - nlower - 1;	/* size of upper partition */	/*	 * If must call recursively, do it on the smaller partition; this	 * bounds the stack to lg N entries.	 */	if (nlower > nupper) {		if (nupper >= THRESH)			quick_sort(mid, nupper, size, compar);		else {			SORT(mid, nupper);			if (nlower < THRESH) {				SORT(bot, nlower);				return;			}		}		nmemb = nlower;	} else {		if (nlower >= THRESH)			quick_sort(bot, nlower, size, compar);		else {			SORT(bot, nlower);			if (nupper < THRESH) {				SORT(mid, nupper);				return;			}		}		bot = mid;		nmemb = nupper;	}	goto partition;	/* NOTREACHED */}static voidinsertion_sort(bot, nmemb, size, compar)	char *bot;	register int size;	int nmemb, (*compar)();{	register int cnt;	register u_char ch;	register char *s1, *s2, *t1, *t2, *top;	/*	 * A simple insertion sort (see Knuth, Vol. 3, page 81, Algorithm	 * S).  Insertion sort has the same worst case as most simple sorts	 * (O N^2).  It gets used here because it is (O N) in the case of	 * sorted data.	 */	top = bot + nmemb * size;	for (t1 = bot + size; t1 < top;) {		for (t2 = t1; (t2 -= size) >= bot && compar(t1, t2) < 0;);		if (t1 != (t2 += size)) {			/* Bubble bytes up through each element. */			for (cnt = size; cnt--; ++t1) {				ch = *t1;				for (s1 = s2 = t1; (s2 -= size) >= t2; s1 = s2)					*s1 = *s2;				*s1 = ch;			}		} else			t1 += size;	}}

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