/* pp_sort.c
*
* Copyright (C) 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000,
* 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008 by Larry Wall and others
*
* You may distribute under the terms of either the GNU General Public
* License or the Artistic License, as specified in the README file.
*
*/
/*
* ...they shuffled back towards the rear of the line. 'No, not at the
* rear!' the slave-driver shouted. 'Three files up. And stay there...
*
* [p.931 of _The Lord of the Rings_, VI/ii: "The Land of Shadow"]
*/
/* This file contains pp ("push/pop") functions that
* execute the opcodes that make up a perl program. A typical pp function
* expects to find its arguments on the stack, and usually pushes its
* results onto the stack, hence the 'pp' terminology. Each OP structure
* contains a pointer to the relevant pp_foo() function.
*
* This particular file just contains pp_sort(), which is complex
* enough to merit its own file! See the other pp*.c files for the rest of
* the pp_ functions.
*/
#include "EXTERN.h"
#define PERL_IN_PP_SORT_C
#include "perl.h"
#if defined(UNDER_CE)
/* looks like 'small' is reserved word for WINCE (or somesuch)*/
#define small xsmall
#endif
#define sv_cmp_static Perl_sv_cmp
#define sv_cmp_locale_static Perl_sv_cmp_locale
#ifndef SMALLSORT
#define SMALLSORT (200)
#endif
/* Flags for qsortsv and mergesortsv */
#define SORTf_DESC 1
#define SORTf_STABLE 2
#define SORTf_QSORT 4
/*
* The mergesort implementation is by Peter M. Mcilroy .
*
* The original code was written in conjunction with BSD Computer Software
* Research Group at University of California, Berkeley.
*
* See also: "Optimistic Merge Sort" (SODA '92)
*
* The integration to Perl is by John P. Linderman .
*
* The code can be distributed under the same terms as Perl itself.
*
*/
typedef char * aptr; /* pointer for arithmetic on sizes */
typedef SV * gptr; /* pointers in our lists */
/* Binary merge internal sort, with a few special mods
** for the special perl environment it now finds itself in.
**
** Things that were once options have been hotwired
** to values suitable for this use. In particular, we'll always
** initialize looking for natural runs, we'll always produce stable
** output, and we'll always do Peter McIlroy's binary merge.
*/
/* Pointer types for arithmetic and storage and convenience casts */
#define APTR(P) ((aptr)(P))
#define GPTP(P) ((gptr *)(P))
#define GPPP(P) ((gptr **)(P))
/* byte offset from pointer P to (larger) pointer Q */
#define BYTEOFF(P, Q) (APTR(Q) - APTR(P))
#define PSIZE sizeof(gptr)
/* If PSIZE is power of 2, make PSHIFT that power, if that helps */
#ifdef PSHIFT
#define PNELEM(P, Q) (BYTEOFF(P,Q) >> (PSHIFT))
#define PNBYTE(N) ((N) << (PSHIFT))
#define PINDEX(P, N) (GPTP(APTR(P) + PNBYTE(N)))
#else
/* Leave optimization to compiler */
#define PNELEM(P, Q) (GPTP(Q) - GPTP(P))
#define PNBYTE(N) ((N) * (PSIZE))
#define PINDEX(P, N) (GPTP(P) + (N))
#endif
/* Pointer into other corresponding to pointer into this */
#define POTHER(P, THIS, OTHER) GPTP(APTR(OTHER) + BYTEOFF(THIS,P))
#define FROMTOUPTO(src, dst, lim) do *dst++ = *src++; while(src= 2 * PTHRESH. We only try to form long runs when
** PTHRESH adjacent pairs compare in the same way, suggesting overall order.
**
** Unless otherwise specified, pair pointers address the first of two elements.
**
** b and b+1 are a pair that compare with sense "sense".
** b is the "bottom" of adjacent pairs that might form a longer run.
**
** p2 parallels b in the list2 array, where runs are defined by
** a pointer chain.
**
** t represents the "top" of the adjacent pairs that might extend
** the run beginning at b. Usually, t addresses a pair
** that compares with opposite sense from (b,b+1).
** However, it may also address a singleton element at the end of list1,
** or it may be equal to "last", the first element beyond list1.
**
** r addresses the Nth pair following b. If this would be beyond t,
** we back it off to t. Only when r is less than t do we consider the
** run long enough to consider checking.
**
** q addresses a pair such that the pairs at b through q already form a run.
** Often, q will equal b, indicating we only are sure of the pair itself.
** However, a search on the previous cycle may have revealed a longer run,
** so q may be greater than b.
**
** p is used to work back from a candidate r, trying to reach q,
** which would mean b through r would be a run. If we discover such a run,
** we start q at r and try to push it further towards t.
** If b through r is NOT a run, we detect the wrong order at (p-1,p).
** In any event, after the check (if any), we have two main cases.
**
** 1) Short run. b <= q < p <= r <= t.
** b through q is a run (perhaps trivial)
** q through p are uninteresting pairs
** p through r is a run
**
** 2) Long run. b < r <= q < t.
** b through q is a run (of length >= 2 * PTHRESH)
**
** Note that degenerate cases are not only possible, but likely.
** For example, if the pair following b compares with opposite sense,
** then b == q < p == r == t.
*/
static IV
dynprep(pTHX_ gptr *list1, gptr *list2, size_t nmemb, const SVCOMPARE_t cmp)
{
I32 sense;
register gptr *b, *p, *q, *t, *p2;
register gptr *last, *r;
IV runs = 0;
b = list1;
last = PINDEX(b, nmemb);
sense = (cmp(aTHX_ *b, *(b+1)) > 0);
for (p2 = list2; b < last; ) {
/* We just started, or just reversed sense.
** Set t at end of pairs with the prevailing sense.
*/
for (p = b+2, t = p; ++p < last; t = ++p) {
if ((cmp(aTHX_ *t, *p) > 0) != sense) break;
}
q = b;
/* Having laid out the playing field, look for long runs */
do {
p = r = b + (2 * PTHRESH);
if (r >= t) p = r = t; /* too short to care about */
else {
while (((cmp(aTHX_ *(p-1), *p) > 0) == sense) &&
((p -= 2) > q)) {}
if (p <= q) {
/* b through r is a (long) run.
** Extend it as far as possible.
*/
p = q = r;
while (((p += 2) < t) &&
((cmp(aTHX_ *(p-1), *p) > 0) == sense)) q = p;
r = p = q + 2; /* no simple pairs, no after-run */
}
}
if (q > b) { /* run of greater than 2 at b */
gptr *savep = p;
p = q += 2;
/* pick up singleton, if possible */
if ((p == t) &&
((t + 1) == last) &&
((cmp(aTHX_ *(p-1), *p) > 0) == sense))
savep = r = p = q = last;
p2 = NEXT(p2) = p2 + (p - b); ++runs;
if (sense)
while (b < --p) {
const gptr c = *b;
*b++ = *p;
*p = c;
}
p = savep;
}
while (q < p) { /* simple pairs */
p2 = NEXT(p2) = p2 + 2; ++runs;
if (sense) {
const gptr c = *q++;
*(q-1) = *q;
*q++ = c;
} else q += 2;
}
if (((b = p) == t) && ((t+1) == last)) {
NEXT(p2) = p2 + 1; ++runs;
b++;
}
q = r;
} while (b < t);
sense = !sense;
}
return runs;
}
/* The original merge sort, in use since 5.7, was as fast as, or faster than,
* qsort on many platforms, but slower than qsort, conspicuously so,
* on others. The most likely explanation was platform-specific
* differences in cache sizes and relative speeds.
*
* The quicksort divide-and-conquer algorithm guarantees that, as the
* problem is subdivided into smaller and smaller parts, the parts
* fit into smaller (and faster) caches. So it doesn't matter how
* many levels of cache exist, quicksort will "find" them, and,
* as long as smaller is faster, take advantage of them.
*
* By contrast, consider how the original mergesort algorithm worked.
* Suppose we have five runs (each typically of length 2 after dynprep).
*
* pass base aux
* 0 1 2 3 4 5
* 1 12 34 5
* 2 1234 5
* 3 12345
* 4 12345
*
* Adjacent pairs are merged in "grand sweeps" through the input.
* This means, on pass 1, the records in runs 1 and 2 aren't revisited until
* runs 3 and 4 are merged and the runs from run 5 have been copied.
* The only cache that matters is one large enough to hold *all* the input.
* On some platforms, this may be many times slower than smaller caches.
*
* The following pseudo-code uses the same basic merge algorithm,
* but in a divide-and-conquer way.
*
* # merge $runs runs at offset $offset of list $list1 into $list2.
* # all unmerged runs ($runs == 1) originate in list $base.
* sub mgsort2 {
* my ($offset, $runs, $base, $list1, $list2) = @_;
*
* if ($runs == 1) {
* if ($list1 is $base) copy run to $list2
* return offset of end of list (or copy)
* } else {
* $off2 = mgsort2($offset, $runs-($runs/2), $base, $list2, $list1)
* mgsort2($off2, $runs/2, $base, $list2, $list1)
* merge the adjacent runs at $offset of $list1 into $list2
* return the offset of the end of the merged runs
* }
* }
* mgsort2(0, $runs, $base, $aux, $base);
*
* For our 5 runs, the tree of calls looks like
*
* 5
* 3 2
* 2 1 1 1
* 1 1
*
* 1 2 3 4 5
*
* and the corresponding activity looks like
*
* copy runs 1 and 2 from base to aux
* merge runs 1 and 2 from aux to base
* (run 3 is where it belongs, no copy needed)
* merge runs 12 and 3 from base to aux
* (runs 4 and 5 are where they belong, no copy needed)
* merge runs 4 and 5 from base to aux
* merge runs 123 and 45 from aux to base
*
* Note that we merge runs 1 and 2 immediately after copying them,
* while they are still likely to be in fast cache. Similarly,
* run 3 is merged with run 12 while it still may be lingering in cache.
* This implementation should therefore enjoy much of the cache-friendly
* behavior that quicksort does. In addition, it does less copying
* than the original mergesort implementation (only runs 1 and 2 are copied)
* and the "balancing" of merges is better (merged runs comprise more nearly
* equal numbers of original runs).
*
* The actual cache-friendly implementation will use a pseudo-stack
* to avoid recursion, and will unroll processing of runs of length 2,
* but it is otherwise similar to the recursive implementation.
*/
typedef struct {
IV offset; /* offset of 1st of 2 runs at this level */
IV runs; /* how many runs must be combined into 1 */
} off_runs; /* pseudo-stack element */
static I32
cmp_desc(pTHX_ gptr const a, gptr const b)
{
dVAR;
return -PL_sort_RealCmp(aTHX_ a, b);
}
STATIC void
S_mergesortsv(pTHX_ gptr *base, size_t nmemb, SVCOMPARE_t cmp, U32 flags)
{
dVAR;
IV i, run, offset;
I32 sense, level;
register gptr *f1, *f2, *t, *b, *p;
int iwhich;
gptr *aux;
gptr *p1;
gptr small[SMALLSORT];
gptr *which[3];
off_runs stack[60], *stackp;
SVCOMPARE_t savecmp = NULL;
if (nmemb <= 1) return; /* sorted trivially */
if ((flags & SORTf_DESC) != 0) {
savecmp = PL_sort_RealCmp; /* Save current comparison routine, if any */
PL_sort_RealCmp = cmp; /* Put comparison routine where cmp_desc can find it */
cmp = cmp_desc;
}
if (nmemb <= SMALLSORT) aux = small; /* use stack for aux array */
else { Newx(aux,nmemb,gptr); } /* allocate auxilliary array */
level = 0;
stackp = stack;
stackp->runs = dynprep(aTHX_ base, aux, nmemb, cmp);
stackp->offset = offset = 0;
which[0] = which[2] = base;
which[1] = aux;
for (;;) {
/* On levels where both runs have be constructed (stackp->runs == 0),
* merge them, and note the offset of their end, in case the offset
* is needed at the next level up. Hop up a level, and,
* as long as stackp->runs is 0, keep merging.
*/
IV runs = stackp->runs;
if (runs == 0) {
gptr *list1, *list2;
iwhich = level & 1;
list1 = which[iwhich]; /* area where runs are now */
list2 = which[++iwhich]; /* area for merged runs */
do {
register gptr *l1, *l2, *tp2;
offset = stackp->offset;
f1 = p1 = list1 + offset; /* start of first run */
p = tp2 = list2 + offset; /* where merged run will go */
t = NEXT(p); /* where first run ends */
f2 = l1 = POTHER(t, list2, list1); /* ... on the other side */
t = NEXT(t); /* where second runs ends */
l2 = POTHER(t, list2, list1); /* ... on the other side */
offset = PNELEM(list2, t);
while (f1 < l1 && f2 < l2) {
/* If head 1 is larger than head 2, find ALL the elements
** in list 2 strictly less than head1, write them all,
** then head 1. Then compare the new heads, and repeat,
** until one or both lists are exhausted.
**
** In all comparisons (after establishing
** which head to merge) the item to merge
** (at pointer q) is the first operand of
** the comparison. When we want to know
** if "q is strictly less than the other",
** we can't just do
** cmp(q, other) < 0
** because stability demands that we treat equality
** as high when q comes from l2, and as low when
** q was from l1. So we ask the question by doing
** cmp(q, other) <= sense
** and make sense == 0 when equality should look low,
** and -1 when equality should look high.
*/
register gptr *q;
if (cmp(aTHX_ *f1, *f2) <= 0) {
q = f2; b = f1; t = l1;
sense = -1;
} else {
q = f1; b = f2; t = l2;
sense = 0;
}
/* ramp up
**
** Leave t at something strictly
** greater than q (or at the end of the list),
** and b at something strictly less than q.
*/
for (i = 1, run = 0 ;;) {
if ((p = PINDEX(b, i)) >= t) {
/* off the end */
if (((p = PINDEX(t, -1)) > b) &&
(cmp(aTHX_ *q, *p) <= sense))
t = p;
else b = p;
break;
} else if (cmp(aTHX_ *q, *p) <= sense) {
t = p;
break;
} else b = p;
if (++run >= RTHRESH) i += i;
}
/* q is known to follow b and must be inserted before t.
** Increment b, so the range of possibilities is [b,t).
** Round binary split down, to favor early appearance.
** Adjust b and t until q belongs just before t.
*/
b++;
while (b < t) {
p = PINDEX(b, (PNELEM(b, t) - 1) / 2);
if (cmp(aTHX_ *q, *p) <= sense) {
t = p;
} else b = p + 1;
}
/* Copy all the strictly low elements */
if (q == f1) {
FROMTOUPTO(f2, tp2, t);
*tp2++ = *f1++;
} else {
FROMTOUPTO(f1, tp2, t);
*tp2++ = *f2++;
}
}
/* Run out remaining list */
if (f1 == l1) {
if (f2 < l2) FROMTOUPTO(f2, tp2, l2);
} else FROMTOUPTO(f1, tp2, l1);
p1 = NEXT(p1) = POTHER(tp2, list2, list1);
if (--level == 0) goto done;
--stackp;
t = list1; list1 = list2; list2 = t; /* swap lists */
} while ((runs = stackp->runs) == 0);
}
stackp->runs = 0; /* current run will finish level */
/* While there are more than 2 runs remaining,
* turn them into exactly 2 runs (at the "other" level),
* each made up of approximately half the runs.
* Stack the second half for later processing,
* and set about producing the first half now.
*/
while (runs > 2) {
++level;
++stackp;
stackp->offset = offset;
runs -= stackp->runs = runs / 2;
}
/* We must construct a single run from 1 or 2 runs.
* All the original runs are in which[0] == base.
* The run we construct must end up in which[level&1].
*/
iwhich = level & 1;
if (runs == 1) {
/* Constructing a single run from a single run.
* If it's where it belongs already, there's nothing to do.
* Otherwise, copy it to where it belongs.
* A run of 1 is either a singleton at level 0,
* or the second half of a split 3. In neither event
* is it necessary to set offset. It will be set by the merge
* that immediately follows.
*/
if (iwhich) { /* Belongs in aux, currently in base */
f1 = b = PINDEX(base, offset); /* where list starts */
f2 = PINDEX(aux, offset); /* where list goes */
t = NEXT(f2); /* where list will end */
offset = PNELEM(aux, t); /* offset thereof */
t = PINDEX(base, offset); /* where it currently ends */
FROMTOUPTO(f1, f2, t); /* copy */
NEXT(b) = t; /* set up parallel pointer */
} else if (level == 0) goto done; /* single run at level 0 */
} else {
/* Constructing a single run from two runs.
* The merge code at the top will do that.
* We need only make sure the two runs are in the "other" array,
* so they'll end up in the correct array after the merge.
*/
++level;
++stackp;
stackp->offset = offset;
stackp->runs = 0; /* take care of both runs, trigger merge */
if (!iwhich) { /* Merged runs belong in aux, copy 1st */
f1 = b = PINDEX(base, offset); /* where first run starts */
f2 = PINDEX(aux, offset); /* where it will be copied */
t = NEXT(f2); /* where first run will end */
offset = PNELEM(aux, t); /* offset thereof */
p = PINDEX(base, offset); /* end of first run */
t = NEXT(t); /* where second run will end */
t = PINDEX(base, PNELEM(aux, t)); /* where it now ends */
FROMTOUPTO(f1, f2, t); /* copy both runs */
NEXT(b) = p; /* paralled pointer for 1st */
NEXT(p) = t; /* ... and for second */
}
}
}
done:
if (aux != small) Safefree(aux); /* free iff allocated */
if (flags) {
PL_sort_RealCmp = savecmp; /* Restore current comparison routine, if any */
}
return;
}
/*
* The quicksort implementation was derived from source code contributed
* by Tom Horsley.
*
* NOTE: this code was derived from Tom Horsley's qsort replacement
* and should not be confused with the original code.
*/
/* Copyright (C) Tom Horsley, 1997. All rights reserved.
Permission granted to distribute under the same terms as perl which are
(briefly):
This program is free software; you can redistribute it and/or modify
it under the terms of either:
a) the GNU General Public License as published by the Free
Software Foundation; either version 1, or (at your option) any
later version, or
b) the "Artistic License" which comes with this Kit.
Details on the perl license can be found in the perl source code which
may be located via the www.perl.com web page.
This is the most wonderfulest possible qsort I can come up with (and
still be mostly portable) My (limited) tests indicate it consistently
does about 20% fewer calls to compare than does the qsort in the Visual
C++ library, other vendors may vary.
Some of the ideas in here can be found in "Algorithms" by Sedgewick,
others I invented myself (or more likely re-invented since they seemed
pretty obvious once I watched the algorithm operate for a while).
Most of this code was written while watching the Marlins sweep the Giants
in the 1997 National League Playoffs - no Braves fans allowed to use this
code (just kidding :-).
I realize that if I wanted to be true to the perl tradition, the only
comment in this file would be something like:
...they shuffled back towards the rear of the line. 'No, not at the
rear!' the slave-driver shouted. 'Three files up. And stay there...
However, I really needed to violate that tradition just so I could keep
track of what happens myself, not to mention some poor fool trying to
understand this years from now :-).
*/
/* ********************************************************** Configuration */
#ifndef QSORT_ORDER_GUESS
#define QSORT_ORDER_GUESS 2 /* Select doubling version of the netBSD trick */
#endif
/* QSORT_MAX_STACK is the largest number of partitions that can be stacked up for
future processing - a good max upper bound is log base 2 of memory size
(32 on 32 bit machines, 64 on 64 bit machines, etc). In reality can
safely be smaller than that since the program is taking up some space and
most operating systems only let you grab some subset of contiguous
memory (not to mention that you are normally sorting data larger than
1 byte element size :-).
*/
#ifndef QSORT_MAX_STACK
#define QSORT_MAX_STACK 32
#endif
/* QSORT_BREAK_EVEN is the size of the largest partition we should insertion sort.
Anything bigger and we use qsort. If you make this too small, the qsort
will probably break (or become less efficient), because it doesn't expect
the middle element of a partition to be the same as the right or left -
you have been warned).
*/
#ifndef QSORT_BREAK_EVEN
#define QSORT_BREAK_EVEN 6
#endif
/* QSORT_PLAY_SAFE is the size of the largest partition we're willing
to go quadratic on. We innoculate larger partitions against
quadratic behavior by shuffling them before sorting. This is not
an absolute guarantee of non-quadratic behavior, but it would take
staggeringly bad luck to pick extreme elements as the pivot
from randomized data.
*/
#ifndef QSORT_PLAY_SAFE
#define QSORT_PLAY_SAFE 255
#endif
/* ************************************************************* Data Types */
/* hold left and right index values of a partition waiting to be sorted (the
partition includes both left and right - right is NOT one past the end or
anything like that).
*/
struct partition_stack_entry {
int left;
int right;
#ifdef QSORT_ORDER_GUESS
int qsort_break_even;
#endif
};
/* ******************************************************* Shorthand Macros */
/* Note that these macros will be used from inside the qsort function where
we happen to know that the variable 'elt_size' contains the size of an
array element and the variable 'temp' points to enough space to hold a
temp element and the variable 'array' points to the array being sorted
and 'compare' is the pointer to the compare routine.
Also note that there are very many highly architecture specific ways
these might be sped up, but this is simply the most generally portable
code I could think of.
*/
/* Return < 0 == 0 or > 0 as the value of elt1 is < elt2, == elt2, > elt2
*/
#define qsort_cmp(elt1, elt2) \
((*compare)(aTHX_ array[elt1], array[elt2]))
#ifdef QSORT_ORDER_GUESS
#define QSORT_NOTICE_SWAP swapped++;
#else
#define QSORT_NOTICE_SWAP
#endif
/* swaps contents of array elements elt1, elt2.
*/
#define qsort_swap(elt1, elt2) \
STMT_START { \
QSORT_NOTICE_SWAP \
temp = array[elt1]; \
array[elt1] = array[elt2]; \
array[elt2] = temp; \
} STMT_END
/* rotate contents of elt1, elt2, elt3 such that elt1 gets elt2, elt2 gets
elt3 and elt3 gets elt1.
*/
#define qsort_rotate(elt1, elt2, elt3) \
STMT_START { \
QSORT_NOTICE_SWAP \
temp = array[elt1]; \
array[elt1] = array[elt2]; \
array[elt2] = array[elt3]; \
array[elt3] = temp; \
} STMT_END
/* ************************************************************ Debug stuff */
#ifdef QSORT_DEBUG
static void
break_here()
{
return; /* good place to set a breakpoint */
}
#define qsort_assert(t) (void)( (t) || (break_here(), 0) )
static void
doqsort_all_asserts(
void * array,
size_t num_elts,
size_t elt_size,
int (*compare)(const void * elt1, const void * elt2),
int pc_left, int pc_right, int u_left, int u_right)
{
int i;
qsort_assert(pc_left <= pc_right);
qsort_assert(u_right < pc_left);
qsort_assert(pc_right < u_left);
for (i = u_right + 1; i < pc_left; ++i) {
qsort_assert(qsort_cmp(i, pc_left) < 0);
}
for (i = pc_left; i < pc_right; ++i) {
qsort_assert(qsort_cmp(i, pc_right) == 0);
}
for (i = pc_right + 1; i < u_left; ++i) {
qsort_assert(qsort_cmp(pc_right, i) < 0);
}
}
#define qsort_all_asserts(PC_LEFT, PC_RIGHT, U_LEFT, U_RIGHT) \
doqsort_all_asserts(array, num_elts, elt_size, compare, \
PC_LEFT, PC_RIGHT, U_LEFT, U_RIGHT)
#else
#define qsort_assert(t) ((void)0)
#define qsort_all_asserts(PC_LEFT, PC_RIGHT, U_LEFT, U_RIGHT) ((void)0)
#endif
/* ****************************************************************** qsort */
STATIC void /* the standard unstable (u) quicksort (qsort) */
S_qsortsvu(pTHX_ SV ** array, size_t num_elts, SVCOMPARE_t compare)
{
register SV * temp;
struct partition_stack_entry partition_stack[QSORT_MAX_STACK];
int next_stack_entry = 0;
int part_left;
int part_right;
#ifdef QSORT_ORDER_GUESS
int qsort_break_even;
int swapped;
#endif
PERL_ARGS_ASSERT_QSORTSVU;
/* Make sure we actually have work to do.
*/
if (num_elts <= 1) {
return;
}
/* Innoculate large partitions against quadratic behavior */
if (num_elts > QSORT_PLAY_SAFE) {
register size_t n;
register SV ** const q = array;
for (n = num_elts; n > 1; ) {
register const size_t j = (size_t)(n-- * Drand01());
temp = q[j];
q[j] = q[n];
q[n] = temp;
}
}
/* Setup the initial partition definition and fall into the sorting loop
*/
part_left = 0;
part_right = (int)(num_elts - 1);
#ifdef QSORT_ORDER_GUESS
qsort_break_even = QSORT_BREAK_EVEN;
#else
#define qsort_break_even QSORT_BREAK_EVEN
#endif
for ( ; ; ) {
if ((part_right - part_left) >= qsort_break_even) {
/* OK, this is gonna get hairy, so lets try to document all the
concepts and abbreviations and variables and what they keep
track of:
pc: pivot chunk - the set of array elements we accumulate in the
middle of the partition, all equal in value to the original
pivot element selected. The pc is defined by:
pc_left - the leftmost array index of the pc
pc_right - the rightmost array index of the pc
we start with pc_left == pc_right and only one element
in the pivot chunk (but it can grow during the scan).
u: uncompared elements - the set of elements in the partition
we have not yet compared to the pivot value. There are two
uncompared sets during the scan - one to the left of the pc
and one to the right.
u_right - the rightmost index of the left side's uncompared set
u_left - the leftmost index of the right side's uncompared set
The leftmost index of the left sides's uncompared set
doesn't need its own variable because it is always defined
by the leftmost edge of the whole partition (part_left). The
same goes for the rightmost edge of the right partition
(part_right).
We know there are no uncompared elements on the left once we
get u_right < part_left and no uncompared elements on the
right once u_left > part_right. When both these conditions
are met, we have completed the scan of the partition.
Any elements which are between the pivot chunk and the
uncompared elements should be less than the pivot value on
the left side and greater than the pivot value on the right
side (in fact, the goal of the whole algorithm is to arrange
for that to be true and make the groups of less-than and
greater-then elements into new partitions to sort again).
As you marvel at the complexity of the code and wonder why it
has to be so confusing. Consider some of the things this level
of confusion brings:
Once I do a compare, I squeeze every ounce of juice out of it. I
never do compare calls I don't have to do, and I certainly never
do redundant calls.
I also never swap any elements unless I can prove there is a
good reason. Many sort algorithms will swap a known value with
an uncompared value just to get things in the right place (or
avoid complexity :-), but that uncompared value, once it gets
compared, may then have to be swapped again. A lot of the
complexity of this code is due to the fact that it never swaps
anything except compared values, and it only swaps them when the
compare shows they are out of position.
*/
int pc_left, pc_right;
int u_right, u_left;
int s;
pc_left = ((part_left + part_right) / 2);
pc_right = pc_left;
u_right = pc_left - 1;
u_left = pc_right + 1;
/* Qsort works best when the pivot value is also the median value
in the partition (unfortunately you can't find the median value
without first sorting :-), so to give the algorithm a helping
hand, we pick 3 elements and sort them and use the median value
of that tiny set as the pivot value.
Some versions of qsort like to use the left middle and right as
the 3 elements to sort so they can insure the ends of the
partition will contain values which will stop the scan in the
compare loop, but when you have to call an arbitrarily complex
routine to do a compare, its really better to just keep track of
array index values to know when you hit the edge of the
partition and avoid the extra compare. An even better reason to
avoid using a compare call is the fact that you can drop off the
edge of the array if someone foolishly provides you with an
unstable compare function that doesn't always provide consistent
results.
So, since it is simpler for us to compare the three adjacent
elements in the middle of the partition, those are the ones we
pick here (conveniently pointed at by u_right, pc_left, and
u_left). The values of the left, center, and right elements
are refered to as l c and r in the following comments.
*/
#ifdef QSORT_ORDER_GUESS
swapped = 0;
#endif
s = qsort_cmp(u_right, pc_left);
if (s < 0) {
/* l < c */
s = qsort_cmp(pc_left, u_left);
/* if l < c, c < r - already in order - nothing to do */
if (s == 0) {
/* l < c, c == r - already in order, pc grows */
++pc_right;
qsort_all_asserts(pc_left, pc_right, u_left + 1, u_right - 1);
} else if (s > 0) {
/* l < c, c > r - need to know more */
s = qsort_cmp(u_right, u_left);
if (s < 0) {
/* l < c, c > r, l < r - swap c & r to get ordered */
qsort_swap(pc_left, u_left);
qsort_all_asserts(pc_left, pc_right, u_left + 1, u_right - 1);
} else if (s == 0) {
/* l < c, c > r, l == r - swap c&r, grow pc */
qsort_swap(pc_left, u_left);
--pc_left;
qsort_all_asserts(pc_left, pc_right, u_left + 1, u_right - 1);
} else {
/* l < c, c > r, l > r - make lcr into rlc to get ordered */
qsort_rotate(pc_left, u_right, u_left);
qsort_all_asserts(pc_left, pc_right, u_left + 1, u_right - 1);
}
}
} else if (s == 0) {
/* l == c */
s = qsort_cmp(pc_left, u_left);
if (s < 0) {
/* l == c, c < r - already in order, grow pc */
--pc_left;
qsort_all_asserts(pc_left, pc_right, u_left + 1, u_right - 1);
} else if (s == 0) {
/* l == c, c == r - already in order, grow pc both ways */
--pc_left;
++pc_right;
qsort_all_asserts(pc_left, pc_right, u_left + 1, u_right - 1);
} else {
/* l == c, c > r - swap l & r, grow pc */
qsort_swap(u_right, u_left);
++pc_right;
qsort_all_asserts(pc_left, pc_right, u_left + 1, u_right - 1);
}
} else {
/* l > c */
s = qsort_cmp(pc_left, u_left);
if (s < 0) {
/* l > c, c < r - need to know more */
s = qsort_cmp(u_right, u_left);
if (s < 0) {
/* l > c, c < r, l < r - swap l & c to get ordered */
qsort_swap(u_right, pc_left);
qsort_all_asserts(pc_left, pc_right, u_left + 1, u_right - 1);
} else if (s == 0) {
/* l > c, c < r, l == r - swap l & c, grow pc */
qsort_swap(u_right, pc_left);
++pc_right;
qsort_all_asserts(pc_left, pc_right, u_left + 1, u_right - 1);
} else {
/* l > c, c < r, l > r - rotate lcr into crl to order */
qsort_rotate(u_right, pc_left, u_left);
qsort_all_asserts(pc_left, pc_right, u_left + 1, u_right - 1);
}
} else if (s == 0) {
/* l > c, c == r - swap ends, grow pc */
qsort_swap(u_right, u_left);
--pc_left;
qsort_all_asserts(pc_left, pc_right, u_left + 1, u_right - 1);
} else {
/* l > c, c > r - swap ends to get in order */
qsort_swap(u_right, u_left);
qsort_all_asserts(pc_left, pc_right, u_left + 1, u_right - 1);
}
}
/* We now know the 3 middle elements have been compared and
arranged in the desired order, so we can shrink the uncompared
sets on both sides
*/
--u_right;
++u_left;
qsort_all_asserts(pc_left, pc_right, u_left, u_right);
/* The above massive nested if was the simple part :-). We now have
the middle 3 elements ordered and we need to scan through the
uncompared sets on either side, swapping elements that are on
the wrong side or simply shuffling equal elements around to get
all equal elements into the pivot chunk.
*/
for ( ; ; ) {
int still_work_on_left;
int still_work_on_right;
/* Scan the uncompared values on the left. If I find a value
equal to the pivot value, move it over so it is adjacent to
the pivot chunk and expand the pivot chunk. If I find a value
less than the pivot value, then just leave it - its already
on the correct side of the partition. If I find a greater
value, then stop the scan.
*/
while ((still_work_on_left = (u_right >= part_left))) {
s = qsort_cmp(u_right, pc_left);
if (s < 0) {
--u_right;
} else if (s == 0) {
--pc_left;
if (pc_left != u_right) {
qsort_swap(u_right, pc_left);
}
--u_right;
} else {
break;
}
qsort_assert(u_right < pc_left);
qsort_assert(pc_left <= pc_right);
qsort_assert(qsort_cmp(u_right + 1, pc_left) <= 0);
qsort_assert(qsort_cmp(pc_left, pc_right) == 0);
}
/* Do a mirror image scan of uncompared values on the right
*/
while ((still_work_on_right = (u_left <= part_right))) {
s = qsort_cmp(pc_right, u_left);
if (s < 0) {
++u_left;
} else if (s == 0) {
++pc_right;
if (pc_right != u_left) {
qsort_swap(pc_right, u_left);
}
++u_left;
} else {
break;
}
qsort_assert(u_left > pc_right);
qsort_assert(pc_left <= pc_right);
qsort_assert(qsort_cmp(pc_right, u_left - 1) <= 0);
qsort_assert(qsort_cmp(pc_left, pc_right) == 0);
}
if (still_work_on_left) {
/* I know I have a value on the left side which needs to be
on the right side, but I need to know more to decide
exactly the best thing to do with it.
*/
if (still_work_on_right) {
/* I know I have values on both side which are out of
position. This is a big win because I kill two birds
with one swap (so to speak). I can advance the
uncompared pointers on both sides after swapping both
of them into the right place.
*/
qsort_swap(u_right, u_left);
--u_right;
++u_left;
qsort_all_asserts(pc_left, pc_right, u_left, u_right);
} else {
/* I have an out of position value on the left, but the
right is fully scanned, so I "slide" the pivot chunk
and any less-than values left one to make room for the
greater value over on the right. If the out of position
value is immediately adjacent to the pivot chunk (there
are no less-than values), I can do that with a swap,
otherwise, I have to rotate one of the less than values
into the former position of the out of position value
and the right end of the pivot chunk into the left end
(got all that?).
*/
--pc_left;
if (pc_left == u_right) {
qsort_swap(u_right, pc_right);
qsort_all_asserts(pc_left, pc_right-1, u_left, u_right-1);
} else {
qsort_rotate(u_right, pc_left, pc_right);
qsort_all_asserts(pc_left, pc_right-1, u_left, u_right-1);
}
--pc_right;
--u_right;
}
} else if (still_work_on_right) {
/* Mirror image of complex case above: I have an out of
position value on the right, but the left is fully
scanned, so I need to shuffle things around to make room
for the right value on the left.
*/
++pc_right;
if (pc_right == u_left) {
qsort_swap(u_left, pc_left);
qsort_all_asserts(pc_left+1, pc_right, u_left+1, u_right);
} else {
qsort_rotate(pc_right, pc_left, u_left);
qsort_all_asserts(pc_left+1, pc_right, u_left+1, u_right);
}
++pc_left;
++u_left;
} else {
/* No more scanning required on either side of partition,
break out of loop and figure out next set of partitions
*/
break;
}
}
/* The elements in the pivot chunk are now in the right place. They
will never move or be compared again. All I have to do is decide
what to do with the stuff to the left and right of the pivot
chunk.
Notes on the QSORT_ORDER_GUESS ifdef code:
1. If I just built these partitions without swapping any (or
very many) elements, there is a chance that the elements are
already ordered properly (being properly ordered will
certainly result in no swapping, but the converse can't be
proved :-).
2. A (properly written) insertion sort will run faster on
already ordered data than qsort will.
3. Perhaps there is some way to make a good guess about
switching to an insertion sort earlier than partition size 6
(for instance - we could save the partition size on the stack
and increase the size each time we find we didn't swap, thus
switching to insertion sort earlier for partitions with a
history of not swapping).
4. Naturally, if I just switch right away, it will make
artificial benchmarks with pure ascending (or descending)
data look really good, but is that a good reason in general?
Hard to say...
*/
#ifdef QSORT_ORDER_GUESS
if (swapped < 3) {
#if QSORT_ORDER_GUESS == 1
qsort_break_even = (part_right - part_left) + 1;
#endif
#if QSORT_ORDER_GUESS == 2
qsort_break_even *= 2;
#endif
#if QSORT_ORDER_GUESS == 3
const int prev_break = qsort_break_even;
qsort_break_even *= qsort_break_even;
if (qsort_break_even < prev_break) {
qsort_break_even = (part_right - part_left) + 1;
}
#endif
} else {
qsort_break_even = QSORT_BREAK_EVEN;
}
#endif
if (part_left < pc_left) {
/* There are elements on the left which need more processing.
Check the right as well before deciding what to do.
*/
if (pc_right < part_right) {
/* We have two partitions to be sorted. Stack the biggest one
and process the smallest one on the next iteration. This
minimizes the stack height by insuring that any additional
stack entries must come from the smallest partition which
(because it is smallest) will have the fewest
opportunities to generate additional stack entries.
*/
if ((part_right - pc_right) > (pc_left - part_left)) {
/* stack the right partition, process the left */
partition_stack[next_stack_entry].left = pc_right + 1;
partition_stack[next_stack_entry].right = part_right;
#ifdef QSORT_ORDER_GUESS
partition_stack[next_stack_entry].qsort_break_even = qsort_break_even;
#endif
part_right = pc_left - 1;
} else {
/* stack the left partition, process the right */
partition_stack[next_stack_entry].left = part_left;
partition_stack[next_stack_entry].right = pc_left - 1;
#ifdef QSORT_ORDER_GUESS
partition_stack[next_stack_entry].qsort_break_even = qsort_break_even;
#endif
part_left = pc_right + 1;
}
qsort_assert(next_stack_entry < QSORT_MAX_STACK);
++next_stack_entry;
} else {
/* The elements on the left are the only remaining elements
that need sorting, arrange for them to be processed as the
next partition.
*/
part_right = pc_left - 1;
}
} else if (pc_right < part_right) {
/* There is only one chunk on the right to be sorted, make it
the new partition and loop back around.
*/
part_left = pc_right + 1;
} else {
/* This whole partition wound up in the pivot chunk, so
we need to get a new partition off the stack.
*/
if (next_stack_entry == 0) {
/* the stack is empty - we are done */
break;
}
--next_stack_entry;
part_left = partition_stack[next_stack_entry].left;
part_right = partition_stack[next_stack_entry].right;
#ifdef QSORT_ORDER_GUESS
qsort_break_even = partition_stack[next_stack_entry].qsort_break_even;
#endif
}
} else {
/* This partition is too small to fool with qsort complexity, just
do an ordinary insertion sort to minimize overhead.
*/
int i;
/* Assume 1st element is in right place already, and start checking
at 2nd element to see where it should be inserted.
*/
for (i = part_left + 1; i <= part_right; ++i) {
int j;
/* Scan (backwards - just in case 'i' is already in right place)
through the elements already sorted to see if the ith element
belongs ahead of one of them.
*/
for (j = i - 1; j >= part_left; --j) {
if (qsort_cmp(i, j) >= 0) {
/* i belongs right after j
*/
break;
}
}
++j;
if (j != i) {
/* Looks like we really need to move some things
*/
int k;
temp = array[i];
for (k = i - 1; k >= j; --k)
array[k + 1] = array[k];
array[j] = temp;
}
}
/* That partition is now sorted, grab the next one, or get out
of the loop if there aren't any more.
*/
if (next_stack_entry == 0) {
/* the stack is empty - we are done */
break;
}
--next_stack_entry;
part_left = partition_stack[next_stack_entry].left;
part_right = partition_stack[next_stack_entry].right;
#ifdef QSORT_ORDER_GUESS
qsort_break_even = partition_stack[next_stack_entry].qsort_break_even;
#endif
}
}
/* Believe it or not, the array is sorted at this point! */
}
/* Stabilize what is, presumably, an otherwise unstable sort method.
* We do that by allocating (or having on hand) an array of pointers
* that is the same size as the original array of elements to be sorted.
* We initialize this parallel array with the addresses of the original
* array elements. This indirection can make you crazy.
* Some pictures can help. After initializing, we have
*
* indir list1
* +----+ +----+
* | | --------------> | | ------> first element to be sorted
* +----+ +----+
* | | --------------> | | ------> second element to be sorted
* +----+ +----+
* | | --------------> | | ------> third element to be sorted
* +----+ +----+
* ...
* +----+ +----+
* | | --------------> | | ------> n-1st element to be sorted
* +----+ +----+
* | | --------------> | | ------> n-th element to be sorted
* +----+ +----+
*
* During the sort phase, we leave the elements of list1 where they are,
* and sort the pointers in the indirect array in the same order determined
* by the original comparison routine on the elements pointed to.
* Because we don't move the elements of list1 around through
* this phase, we can break ties on elements that compare equal
* using their address in the list1 array, ensuring stabilty.
* This leaves us with something looking like
*
* indir list1
* +----+ +----+
* | | --+ +---> | | ------> first element to be sorted
* +----+ | | +----+
* | | --|-------|---> | | ------> second element to be sorted
* +----+ | | +----+
* | | --|-------+ +-> | | ------> third element to be sorted
* +----+ | | +----+
* ...
* +----+ | | | | +----+
* | | ---|-+ | +--> | | ------> n-1st element to be sorted
* +----+ | | +----+
* | | ---+ +----> | | ------> n-th element to be sorted
* +----+ +----+
*
* where the i-th element of the indirect array points to the element
* that should be i-th in the sorted array. After the sort phase,
* we have to put the elements of list1 into the places
* dictated by the indirect array.
*/
static I32
cmpindir(pTHX_ gptr const a, gptr const b)
{
dVAR;
gptr * const ap = (gptr *)a;
gptr * const bp = (gptr *)b;
const I32 sense = PL_sort_RealCmp(aTHX_ *ap, *bp);
if (sense)
return sense;
return (ap > bp) ? 1 : ((ap < bp) ? -1 : 0);
}
static I32
cmpindir_desc(pTHX_ gptr const a, gptr const b)
{
dVAR;
gptr * const ap = (gptr *)a;
gptr * const bp = (gptr *)b;
const I32 sense = PL_sort_RealCmp(aTHX_ *ap, *bp);
/* Reverse the default */
if (sense)
return -sense;
/* But don't reverse the stability test. */
return (ap > bp) ? 1 : ((ap < bp) ? -1 : 0);
}
STATIC void
S_qsortsv(pTHX_ gptr *list1, size_t nmemb, SVCOMPARE_t cmp, U32 flags)
{
dVAR;
if ((flags & SORTf_STABLE) != 0) {
register gptr **pp, *q;
register size_t n, j, i;
gptr *small[SMALLSORT], **indir, tmp;
SVCOMPARE_t savecmp;
if (nmemb <= 1) return; /* sorted trivially */
/* Small arrays can use the stack, big ones must be allocated */
if (nmemb <= SMALLSORT) indir = small;
else { Newx(indir, nmemb, gptr *); }
/* Copy pointers to original array elements into indirect array */
for (n = nmemb, pp = indir, q = list1; n--; ) *pp++ = q++;
savecmp = PL_sort_RealCmp; /* Save current comparison routine, if any */
PL_sort_RealCmp = cmp; /* Put comparison routine where cmpindir can find it */
/* sort, with indirection */
if (flags & SORTf_DESC)
qsortsvu((gptr *)indir, nmemb, cmpindir_desc);
else
qsortsvu((gptr *)indir, nmemb, cmpindir);
pp = indir;
q = list1;
for (n = nmemb; n--; ) {
/* Assert A: all elements of q with index > n are already
* in place. This is vacuosly true at the start, and we
* put element n where it belongs below (if it wasn't
* already where it belonged). Assert B: we only move
* elements that aren't where they belong,
* so, by A, we never tamper with elements above n.
*/
j = pp[n] - q; /* This sets j so that q[j] is
* at pp[n]. *pp[j] belongs in
* q[j], by construction.
*/
if (n != j) { /* all's well if n == j */
tmp = q[j]; /* save what's in q[j] */
do {
q[j] = *pp[j]; /* put *pp[j] where it belongs */
i = pp[j] - q; /* the index in q of the element
* just moved */
pp[j] = q + j; /* this is ok now */
} while ((j = i) != n);
/* There are only finitely many (nmemb) addresses
* in the pp array.
* So we must eventually revisit an index we saw before.
* Suppose the first revisited index is k != n.
* An index is visited because something else belongs there.
* If we visit k twice, then two different elements must
* belong in the same place, which cannot be.
* So j must get back to n, the loop terminates,
* and we put the saved element where it belongs.
*/
q[n] = tmp; /* put what belongs into
* the n-th element */
}
}
/* free iff allocated */
if (indir != small) { Safefree(indir); }
/* restore prevailing comparison routine */
PL_sort_RealCmp = savecmp;
} else if ((flags & SORTf_DESC) != 0) {
const SVCOMPARE_t savecmp = PL_sort_RealCmp; /* Save current comparison routine, if any */
PL_sort_RealCmp = cmp; /* Put comparison routine where cmp_desc can find it */
cmp = cmp_desc;
qsortsvu(list1, nmemb, cmp);
/* restore prevailing comparison routine */
PL_sort_RealCmp = savecmp;
} else {
qsortsvu(list1, nmemb, cmp);
}
}
/*
=head1 Array Manipulation Functions
=for apidoc sortsv
Sort an array. Here is an example:
sortsv(AvARRAY(av), av_len(av)+1, Perl_sv_cmp_locale);
Currently this always uses mergesort. See sortsv_flags for a more
flexible routine.
=cut
*/
void
Perl_sortsv(pTHX_ SV **array, size_t nmemb, SVCOMPARE_t cmp)
{
PERL_ARGS_ASSERT_SORTSV;
sortsv_flags(array, nmemb, cmp, 0);
}
/*
=for apidoc sortsv_flags
Sort an array, with various options.
=cut
*/
void
Perl_sortsv_flags(pTHX_ SV **array, size_t nmemb, SVCOMPARE_t cmp, U32 flags)
{
PERL_ARGS_ASSERT_SORTSV_FLAGS;
if (flags & SORTf_QSORT)
S_qsortsv(aTHX_ array, nmemb, cmp, flags);
else
S_mergesortsv(aTHX_ array, nmemb, cmp, flags);
}
#define SvNSIOK(sv) ((SvFLAGS(sv) & SVf_NOK) || ((SvFLAGS(sv) & (SVf_IOK|SVf_IVisUV)) == SVf_IOK))
#define SvSIOK(sv) ((SvFLAGS(sv) & (SVf_IOK|SVf_IVisUV)) == SVf_IOK)
#define SvNSIV(sv) ( SvNOK(sv) ? SvNVX(sv) : ( SvSIOK(sv) ? SvIVX(sv) : sv_2nv(sv) ) )
PP(pp_sort)
{
dVAR; dSP; dMARK; dORIGMARK;
register SV **p1 = ORIGMARK+1, **p2;
register I32 max, i;
AV* av = NULL;
HV *stash;
GV *gv;
CV *cv = NULL;
I32 gimme = GIMME;
OP* const nextop = PL_op->op_next;
I32 overloading = 0;
bool hasargs = FALSE;
I32 is_xsub = 0;
I32 sorting_av = 0;
const U8 priv = PL_op->op_private;
const U8 flags = PL_op->op_flags;
U32 sort_flags = 0;
void (*sortsvp)(pTHX_ SV **array, size_t nmemb, SVCOMPARE_t cmp, U32 flags)
= Perl_sortsv_flags;
I32 all_SIVs = 1;
if ((priv & OPpSORT_DESCEND) != 0)
sort_flags |= SORTf_DESC;
if ((priv & OPpSORT_QSORT) != 0)
sort_flags |= SORTf_QSORT;
if ((priv & OPpSORT_STABLE) != 0)
sort_flags |= SORTf_STABLE;
if (gimme != G_ARRAY) {
SP = MARK;
EXTEND(SP,1);
RETPUSHUNDEF;
}
ENTER;
SAVEVPTR(PL_sortcop);
if (flags & OPf_STACKED) {
if (flags & OPf_SPECIAL) {
OP *kid = cLISTOP->op_first->op_sibling; /* pass pushmark */
kid = kUNOP->op_first; /* pass rv2gv */
kid = kUNOP->op_first; /* pass leave */
PL_sortcop = kid->op_next;
stash = CopSTASH(PL_curcop);
}
else {
cv = sv_2cv(*++MARK, &stash, &gv, 0);
if (cv && SvPOK(cv)) {
const char * const proto = SvPV_nolen_const(MUTABLE_SV(cv));
if (proto && strEQ(proto, "$$")) {
hasargs = TRUE;
}
}
if (!(cv && CvROOT(cv))) {
if (cv && CvISXSUB(cv)) {
is_xsub = 1;
}
else if (gv) {
SV *tmpstr = sv_newmortal();
gv_efullname3(tmpstr, gv, NULL);
DIE(aTHX_ "Undefined sort subroutine \"%"SVf"\" called",
SVfARG(tmpstr));
}
else {
DIE(aTHX_ "Undefined subroutine in sort");
}
}
if (is_xsub)
PL_sortcop = (OP*)cv;
else
PL_sortcop = CvSTART(cv);
}
}
else {
PL_sortcop = NULL;
stash = CopSTASH(PL_curcop);
}
/* optimiser converts "@a = sort @a" to "sort \@a";
* in case of tied @a, pessimise: push (@a) onto stack, then assign
* result back to @a at the end of this function */
if (priv & OPpSORT_INPLACE) {
assert( MARK+1 == SP && *SP && SvTYPE(*SP) == SVt_PVAV);
(void)POPMARK; /* remove mark associated with ex-OP_AASSIGN */
av = MUTABLE_AV((*SP));
max = AvFILL(av) + 1;
if (SvMAGICAL(av)) {
MEXTEND(SP, max);
for (i=0; i < max; i++) {
SV **svp = av_fetch(av, i, FALSE);
*SP++ = (svp) ? *svp : NULL;
}
SP--;
p1 = p2 = SP - (max-1);
}
else {
if (SvREADONLY(av))
Perl_croak(aTHX_ "%s", PL_no_modify);
else
SvREADONLY_on(av);
p1 = p2 = AvARRAY(av);
sorting_av = 1;
}
}
else {
p2 = MARK+1;
max = SP - MARK;
}
/* shuffle stack down, removing optional initial cv (p1!=p2), plus
* any nulls; also stringify or converting to integer or number as
* required any args */
for (i=max; i > 0 ; i--) {
if ((*p1 = *p2++)) { /* Weed out nulls. */
SvTEMP_off(*p1);
if (!PL_sortcop) {
if (priv & OPpSORT_NUMERIC) {
if (priv & OPpSORT_INTEGER) {
if (!SvIOK(*p1)) {
if (SvAMAGIC(*p1))
overloading = 1;
else
(void)sv_2iv(*p1);
}
}
else {
if (!SvNSIOK(*p1)) {
if (SvAMAGIC(*p1))
overloading = 1;
else
(void)sv_2nv(*p1);
}
if (all_SIVs && !SvSIOK(*p1))
all_SIVs = 0;
}
}
else {
if (!SvPOK(*p1)) {
if (SvAMAGIC(*p1))
overloading = 1;
else
(void)sv_2pv_flags(*p1, 0,
SV_GMAGIC|SV_CONST_RETURN);
}
}
}
p1++;
}
else
max--;
}
if (sorting_av)
AvFILLp(av) = max-1;
if (max > 1) {
SV **start;
if (PL_sortcop) {
PERL_CONTEXT *cx;
SV** newsp;
const bool oldcatch = CATCH_GET;
SAVETMPS;
SAVEOP();
CATCH_SET(TRUE);
PUSHSTACKi(PERLSI_SORT);
if (!hasargs && !is_xsub) {
SAVESPTR(PL_firstgv);
SAVESPTR(PL_secondgv);
SAVESPTR(PL_sortstash);
PL_firstgv = gv_fetchpvs("a", GV_ADD|GV_NOTQUAL, SVt_PV);
PL_secondgv = gv_fetchpvs("b", GV_ADD|GV_NOTQUAL, SVt_PV);
PL_sortstash = stash;
SAVESPTR(GvSV(PL_firstgv));
SAVESPTR(GvSV(PL_secondgv));
}
PUSHBLOCK(cx, CXt_NULL, PL_stack_base);
if (!(flags & OPf_SPECIAL)) {
cx->cx_type = CXt_SUB;
cx->blk_gimme = G_SCALAR;
PUSHSUB(cx);
if (!is_xsub) {
AV* const padlist = CvPADLIST(cv);
if (++CvDEPTH(cv) >= 2) {
PERL_STACK_OVERFLOW_CHECK();
pad_push(padlist, CvDEPTH(cv));
}
SAVECOMPPAD();
PAD_SET_CUR_NOSAVE(padlist, CvDEPTH(cv));
if (hasargs) {
/* This is mostly copied from pp_entersub */
AV * const av = MUTABLE_AV(PAD_SVl(0));
cx->blk_sub.savearray = GvAV(PL_defgv);
GvAV(PL_defgv) = MUTABLE_AV(SvREFCNT_inc_simple(av));
CX_CURPAD_SAVE(cx->blk_sub);
cx->blk_sub.argarray = av;
}
}
}
cx->cx_type |= CXp_MULTICALL;
start = p1 - max;
sortsvp(aTHX_ start, max,
(is_xsub ? S_sortcv_xsub : hasargs ? S_sortcv_stacked : S_sortcv),
sort_flags);
if (!(flags & OPf_SPECIAL)) {
LEAVESUB(cv);
if (!is_xsub)
CvDEPTH(cv)--;
}
POPBLOCK(cx,PL_curpm);
PL_stack_sp = newsp;
POPSTACK;
CATCH_SET(oldcatch);
}
else {
MEXTEND(SP, 20); /* Can't afford stack realloc on signal. */
start = sorting_av ? AvARRAY(av) : ORIGMARK+1;
sortsvp(aTHX_ start, max,
(priv & OPpSORT_NUMERIC)
? ( ( ( priv & OPpSORT_INTEGER) || all_SIVs)
? ( overloading ? S_amagic_i_ncmp : S_sv_i_ncmp)
: ( overloading ? S_amagic_ncmp : S_sv_ncmp ) )
: ( IN_LOCALE_RUNTIME
? ( overloading
? (SVCOMPARE_t)S_amagic_cmp_locale
: (SVCOMPARE_t)sv_cmp_locale_static)
: ( overloading ? (SVCOMPARE_t)S_amagic_cmp : (SVCOMPARE_t)sv_cmp_static)),
sort_flags);
}
if ((priv & OPpSORT_REVERSE) != 0) {
SV **q = start+max-1;
while (start < q) {
SV * const tmp = *start;
*start++ = *q;
*q-- = tmp;
}
}
}
if (sorting_av)
SvREADONLY_off(av);
else if (av && !sorting_av) {
/* simulate pp_aassign of tied AV */
SV** const base = MARK+1;
for (i=0; i < max; i++) {
base[i] = newSVsv(base[i]);
}
av_clear(av);
av_extend(av, max);
for (i=0; i < max; i++) {
SV * const sv = base[i];
SV ** const didstore = av_store(av, i, sv);
if (SvSMAGICAL(sv))
mg_set(sv);
if (!didstore)
sv_2mortal(sv);
}
}
LEAVE;
PL_stack_sp = ORIGMARK + (sorting_av ? 0 : max);
return nextop;
}
static I32
S_sortcv(pTHX_ SV *const a, SV *const b)
{
dVAR;
const I32 oldsaveix = PL_savestack_ix;
const I32 oldscopeix = PL_scopestack_ix;
I32 result;
PERL_ARGS_ASSERT_SORTCV;
GvSV(PL_firstgv) = a;
GvSV(PL_secondgv) = b;
PL_stack_sp = PL_stack_base;
PL_op = PL_sortcop;
CALLRUNOPS(aTHX);
if (PL_stack_sp != PL_stack_base + 1)
Perl_croak(aTHX_ "Sort subroutine didn't return single value");
result = SvIV(*PL_stack_sp);
while (PL_scopestack_ix > oldscopeix) {
LEAVE;
}
leave_scope(oldsaveix);
return result;
}
static I32
S_sortcv_stacked(pTHX_ SV *const a, SV *const b)
{
dVAR;
const I32 oldsaveix = PL_savestack_ix;
const I32 oldscopeix = PL_scopestack_ix;
I32 result;
AV * const av = GvAV(PL_defgv);
PERL_ARGS_ASSERT_SORTCV_STACKED;
if (AvMAX(av) < 1) {
SV** ary = AvALLOC(av);
if (AvARRAY(av) != ary) {
AvMAX(av) += AvARRAY(av) - AvALLOC(av);
AvARRAY(av) = ary;
}
if (AvMAX(av) < 1) {
AvMAX(av) = 1;
Renew(ary,2,SV*);
AvARRAY(av) = ary;
}
}
AvFILLp(av) = 1;
AvARRAY(av)[0] = a;
AvARRAY(av)[1] = b;
PL_stack_sp = PL_stack_base;
PL_op = PL_sortcop;
CALLRUNOPS(aTHX);
if (PL_stack_sp != PL_stack_base + 1)
Perl_croak(aTHX_ "Sort subroutine didn't return single value");
result = SvIV(*PL_stack_sp);
while (PL_scopestack_ix > oldscopeix) {
LEAVE;
}
leave_scope(oldsaveix);
return result;
}
static I32
S_sortcv_xsub(pTHX_ SV *const a, SV *const b)
{
dVAR; dSP;
const I32 oldsaveix = PL_savestack_ix;
const I32 oldscopeix = PL_scopestack_ix;
CV * const cv=MUTABLE_CV(PL_sortcop);
I32 result;
PERL_ARGS_ASSERT_SORTCV_XSUB;
SP = PL_stack_base;
PUSHMARK(SP);
EXTEND(SP, 2);
*++SP = a;
*++SP = b;
PUTBACK;
(void)(*CvXSUB(cv))(aTHX_ cv);
if (PL_stack_sp != PL_stack_base + 1)
Perl_croak(aTHX_ "Sort subroutine didn't return single value");
result = SvIV(*PL_stack_sp);
while (PL_scopestack_ix > oldscopeix) {
LEAVE;
}
leave_scope(oldsaveix);
return result;
}
static I32
S_sv_ncmp(pTHX_ SV *const a, SV *const b)
{
const NV nv1 = SvNSIV(a);
const NV nv2 = SvNSIV(b);
PERL_ARGS_ASSERT_SV_NCMP;
return nv1 < nv2 ? -1 : nv1 > nv2 ? 1 : 0;
}
static I32
S_sv_i_ncmp(pTHX_ SV *const a, SV *const b)
{
const IV iv1 = SvIV(a);
const IV iv2 = SvIV(b);
PERL_ARGS_ASSERT_SV_I_NCMP;
return iv1 < iv2 ? -1 : iv1 > iv2 ? 1 : 0;
}
#define tryCALL_AMAGICbin(left,right,meth) \
(PL_amagic_generation && (SvAMAGIC(left)||SvAMAGIC(right))) \
? amagic_call(left, right, CAT2(meth,_amg), 0) \
: NULL;
#define SORT_NORMAL_RETURN_VALUE(val) (((val) > 0) ? 1 : ((val) ? -1 : 0))
static I32
S_amagic_ncmp(pTHX_ register SV *const a, register SV *const b)
{
dVAR;
SV * const tmpsv = tryCALL_AMAGICbin(a,b,ncmp);
PERL_ARGS_ASSERT_AMAGIC_NCMP;
if (tmpsv) {
if (SvIOK(tmpsv)) {
const I32 i = SvIVX(tmpsv);
return SORT_NORMAL_RETURN_VALUE(i);
}
else {
const NV d = SvNV(tmpsv);
return SORT_NORMAL_RETURN_VALUE(d);
}
}
return S_sv_ncmp(aTHX_ a, b);
}
static I32
S_amagic_i_ncmp(pTHX_ register SV *const a, register SV *const b)
{
dVAR;
SV * const tmpsv = tryCALL_AMAGICbin(a,b,ncmp);
PERL_ARGS_ASSERT_AMAGIC_I_NCMP;
if (tmpsv) {
if (SvIOK(tmpsv)) {
const I32 i = SvIVX(tmpsv);
return SORT_NORMAL_RETURN_VALUE(i);
}
else {
const NV d = SvNV(tmpsv);
return SORT_NORMAL_RETURN_VALUE(d);
}
}
return S_sv_i_ncmp(aTHX_ a, b);
}
static I32
S_amagic_cmp(pTHX_ register SV *const str1, register SV *const str2)
{
dVAR;
SV * const tmpsv = tryCALL_AMAGICbin(str1,str2,scmp);
PERL_ARGS_ASSERT_AMAGIC_CMP;
if (tmpsv) {
if (SvIOK(tmpsv)) {
const I32 i = SvIVX(tmpsv);
return SORT_NORMAL_RETURN_VALUE(i);
}
else {
const NV d = SvNV(tmpsv);
return SORT_NORMAL_RETURN_VALUE(d);
}
}
return sv_cmp(str1, str2);
}
static I32
S_amagic_cmp_locale(pTHX_ register SV *const str1, register SV *const str2)
{
dVAR;
SV * const tmpsv = tryCALL_AMAGICbin(str1,str2,scmp);
PERL_ARGS_ASSERT_AMAGIC_CMP_LOCALE;
if (tmpsv) {
if (SvIOK(tmpsv)) {
const I32 i = SvIVX(tmpsv);
return SORT_NORMAL_RETURN_VALUE(i);
}
else {
const NV d = SvNV(tmpsv);
return SORT_NORMAL_RETURN_VALUE(d);
}
}
return sv_cmp_locale(str1, str2);
}
/*
* Local variables:
* c-indentation-style: bsd
* c-basic-offset: 4
* indent-tabs-mode: t
* End:
*
* ex: set ts=8 sts=4 sw=4 noet:
*/