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f5016eda WJ |
1 | /*- |
2 | * Copyright (c) 1980, 1983, 1990 The Regents of the University of California. | |
3 | * All rights reserved. | |
4 | * | |
5 | * Redistribution and use in source and binary forms, with or without | |
6 | * modification, are permitted provided that the following conditions | |
7 | * are met: | |
8 | * 1. Redistributions of source code must retain the above copyright | |
9 | * notice, this list of conditions and the following disclaimer. | |
10 | * 2. Redistributions in binary form must reproduce the above copyright | |
11 | * notice, this list of conditions and the following disclaimer in the | |
12 | * documentation and/or other materials provided with the distribution. | |
13 | * 3. All advertising materials mentioning features or use of this software | |
14 | * must display the following acknowledgement: | |
15 | * This product includes software developed by the University of | |
16 | * California, Berkeley and its contributors. | |
17 | * 4. Neither the name of the University nor the names of its contributors | |
18 | * may be used to endorse or promote products derived from this software | |
19 | * without specific prior written permission. | |
20 | * | |
21 | * THIS SOFTWARE IS PROVIDED BY THE REGENTS AND CONTRIBUTORS ``AS IS'' AND | |
22 | * ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE | |
23 | * IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE | |
24 | * ARE DISCLAIMED. IN NO EVENT SHALL THE REGENTS OR CONTRIBUTORS BE LIABLE | |
25 | * FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL | |
26 | * DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS | |
27 | * OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) | |
28 | * HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT | |
29 | * LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY | |
30 | * OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF | |
31 | * SUCH DAMAGE. | |
32 | */ | |
33 | ||
34 | #if defined(LIBC_SCCS) && !defined(lint) | |
35 | static char sccsid[] = "@(#)qsort.c 5.9 (Berkeley) 2/23/91"; | |
36 | #endif /* LIBC_SCCS and not lint */ | |
37 | ||
38 | #include <sys/types.h> | |
39 | #include <stdlib.h> | |
40 | ||
41 | /* | |
42 | * MTHRESH is the smallest partition for which we compare for a median | |
43 | * value instead of using the middle value. | |
44 | */ | |
45 | #define MTHRESH 6 | |
46 | ||
47 | /* | |
48 | * THRESH is the minimum number of entries in a partition for continued | |
49 | * partitioning. | |
50 | */ | |
51 | #define THRESH 4 | |
52 | ||
53 | void | |
54 | qsort(bot, nmemb, size, compar) | |
55 | void *bot; | |
56 | size_t nmemb, size; | |
57 | int (*compar) __P((const void *, const void *)); | |
58 | { | |
59 | static void insertion_sort(), quick_sort(); | |
60 | ||
61 | if (nmemb <= 1) | |
62 | return; | |
63 | ||
64 | if (nmemb >= THRESH) | |
65 | quick_sort(bot, nmemb, size, compar); | |
66 | else | |
67 | insertion_sort(bot, nmemb, size, compar); | |
68 | } | |
69 | ||
70 | /* | |
71 | * Swap two areas of size number of bytes. Although qsort(3) permits random | |
72 | * blocks of memory to be sorted, sorting pointers is almost certainly the | |
73 | * common case (and, were it not, could easily be made so). Regardless, it | |
74 | * isn't worth optimizing; the SWAP's get sped up by the cache, and pointer | |
75 | * arithmetic gets lost in the time required for comparison function calls. | |
76 | */ | |
77 | #define SWAP(a, b) { \ | |
78 | cnt = size; \ | |
79 | do { \ | |
80 | ch = *a; \ | |
81 | *a++ = *b; \ | |
82 | *b++ = ch; \ | |
83 | } while (--cnt); \ | |
84 | } | |
85 | ||
86 | /* | |
87 | * Knuth, Vol. 3, page 116, Algorithm Q, step b, argues that a single pass | |
88 | * of straight insertion sort after partitioning is complete is better than | |
89 | * sorting each small partition as it is created. This isn't correct in this | |
90 | * implementation because comparisons require at least one (and often two) | |
91 | * function calls and are likely to be the dominating expense of the sort. | |
92 | * Doing a final insertion sort does more comparisons than are necessary | |
93 | * because it compares the "edges" and medians of the partitions which are | |
94 | * known to be already sorted. | |
95 | * | |
96 | * This is also the reasoning behind selecting a small THRESH value (see | |
97 | * Knuth, page 122, equation 26), since the quicksort algorithm does less | |
98 | * comparisons than the insertion sort. | |
99 | */ | |
100 | #define SORT(bot, n) { \ | |
101 | if (n > 1) \ | |
102 | if (n == 2) { \ | |
103 | t1 = bot + size; \ | |
104 | if (compar(t1, bot) < 0) \ | |
105 | SWAP(t1, bot); \ | |
106 | } else \ | |
107 | insertion_sort(bot, n, size, compar); \ | |
108 | } | |
109 | ||
110 | static void | |
111 | quick_sort(bot, nmemb, size, compar) | |
112 | register char *bot; | |
113 | register int size; | |
114 | int nmemb, (*compar)(); | |
115 | { | |
116 | register int cnt; | |
117 | register u_char ch; | |
118 | register char *top, *mid, *t1, *t2; | |
119 | register int n1, n2; | |
120 | char *bsv; | |
121 | static void insertion_sort(); | |
122 | ||
123 | /* bot and nmemb must already be set. */ | |
124 | partition: | |
125 | ||
126 | /* find mid and top elements */ | |
127 | mid = bot + size * (nmemb >> 1); | |
128 | top = bot + (nmemb - 1) * size; | |
129 | ||
130 | /* | |
131 | * Find the median of the first, last and middle element (see Knuth, | |
132 | * Vol. 3, page 123, Eq. 28). This test order gets the equalities | |
133 | * right. | |
134 | */ | |
135 | if (nmemb >= MTHRESH) { | |
136 | n1 = compar(bot, mid); | |
137 | n2 = compar(mid, top); | |
138 | if (n1 < 0 && n2 > 0) | |
139 | t1 = compar(bot, top) < 0 ? top : bot; | |
140 | else if (n1 > 0 && n2 < 0) | |
141 | t1 = compar(bot, top) > 0 ? top : bot; | |
142 | else | |
143 | t1 = mid; | |
144 | ||
145 | /* if mid element not selected, swap selection there */ | |
146 | if (t1 != mid) { | |
147 | SWAP(t1, mid); | |
148 | mid -= size; | |
149 | } | |
150 | } | |
151 | ||
152 | /* Standard quicksort, Knuth, Vol. 3, page 116, Algorithm Q. */ | |
153 | #define didswap n1 | |
154 | #define newbot t1 | |
155 | #define replace t2 | |
156 | didswap = 0; | |
157 | for (bsv = bot;;) { | |
158 | for (; bot < mid && compar(bot, mid) <= 0; bot += size); | |
159 | while (top > mid) { | |
160 | if (compar(mid, top) <= 0) { | |
161 | top -= size; | |
162 | continue; | |
163 | } | |
164 | newbot = bot + size; /* value of bot after swap */ | |
165 | if (bot == mid) /* top <-> mid, mid == top */ | |
166 | replace = mid = top; | |
167 | else { /* bot <-> top */ | |
168 | replace = top; | |
169 | top -= size; | |
170 | } | |
171 | goto swap; | |
172 | } | |
173 | if (bot == mid) | |
174 | break; | |
175 | ||
176 | /* bot <-> mid, mid == bot */ | |
177 | replace = mid; | |
178 | newbot = mid = bot; /* value of bot after swap */ | |
179 | top -= size; | |
180 | ||
181 | swap: SWAP(bot, replace); | |
182 | bot = newbot; | |
183 | didswap = 1; | |
184 | } | |
185 | ||
186 | /* | |
187 | * Quicksort behaves badly in the presence of data which is already | |
188 | * sorted (see Knuth, Vol. 3, page 119) going from O N lg N to O N^2. | |
189 | * To avoid this worst case behavior, if a re-partitioning occurs | |
190 | * without swapping any elements, it is not further partitioned and | |
191 | * is insert sorted. This wins big with almost sorted data sets and | |
192 | * only loses if the data set is very strangely partitioned. A fix | |
193 | * for those data sets would be to return prematurely if the insertion | |
194 | * sort routine is forced to make an excessive number of swaps, and | |
195 | * continue the partitioning. | |
196 | */ | |
197 | if (!didswap) { | |
198 | insertion_sort(bsv, nmemb, size, compar); | |
199 | return; | |
200 | } | |
201 | ||
202 | /* | |
203 | * Re-partition or sort as necessary. Note that the mid element | |
204 | * itself is correctly positioned and can be ignored. | |
205 | */ | |
206 | #define nlower n1 | |
207 | #define nupper n2 | |
208 | bot = bsv; | |
209 | nlower = (mid - bot) / size; /* size of lower partition */ | |
210 | mid += size; | |
211 | nupper = nmemb - nlower - 1; /* size of upper partition */ | |
212 | ||
213 | /* | |
214 | * If must call recursively, do it on the smaller partition; this | |
215 | * bounds the stack to lg N entries. | |
216 | */ | |
217 | if (nlower > nupper) { | |
218 | if (nupper >= THRESH) | |
219 | quick_sort(mid, nupper, size, compar); | |
220 | else { | |
221 | SORT(mid, nupper); | |
222 | if (nlower < THRESH) { | |
223 | SORT(bot, nlower); | |
224 | return; | |
225 | } | |
226 | } | |
227 | nmemb = nlower; | |
228 | } else { | |
229 | if (nlower >= THRESH) | |
230 | quick_sort(bot, nlower, size, compar); | |
231 | else { | |
232 | SORT(bot, nlower); | |
233 | if (nupper < THRESH) { | |
234 | SORT(mid, nupper); | |
235 | return; | |
236 | } | |
237 | } | |
238 | bot = mid; | |
239 | nmemb = nupper; | |
240 | } | |
241 | goto partition; | |
242 | /* NOTREACHED */ | |
243 | } | |
244 | ||
245 | static void | |
246 | insertion_sort(bot, nmemb, size, compar) | |
247 | char *bot; | |
248 | register int size; | |
249 | int nmemb, (*compar)(); | |
250 | { | |
251 | register int cnt; | |
252 | register u_char ch; | |
253 | register char *s1, *s2, *t1, *t2, *top; | |
254 | ||
255 | /* | |
256 | * A simple insertion sort (see Knuth, Vol. 3, page 81, Algorithm | |
257 | * S). Insertion sort has the same worst case as most simple sorts | |
258 | * (O N^2). It gets used here because it is (O N) in the case of | |
259 | * sorted data. | |
260 | */ | |
261 | top = bot + nmemb * size; | |
262 | for (t1 = bot + size; t1 < top;) { | |
263 | for (t2 = t1; (t2 -= size) >= bot && compar(t1, t2) < 0;); | |
264 | if (t1 != (t2 += size)) { | |
265 | /* Bubble bytes up through each element. */ | |
266 | for (cnt = size; cnt--; ++t1) { | |
267 | ch = *t1; | |
268 | for (s1 = s2 = t1; (s2 -= size) >= t2; s1 = s2) | |
269 | *s1 = *s2; | |
270 | *s1 = ch; | |
271 | } | |
272 | } else | |
273 | t1 += size; | |
274 | } | |
275 | } |