glib/glib/gqsort.c

/* GLIB - Library of useful routines for C programming
 * Copyright (C) 1991, 1992, 1996, 1997,1999,2004 Free Software Foundation, Inc.
 * Copyright (C) 2000 Eazel, Inc.
 * Copyright (C) 1995-1997  Peter Mattis, Spencer Kimball and Josh MacDonald
 *
 * This library is free software; you can redistribute it and/or
 * modify it under the terms of the GNU Lesser General Public
 * License as published by the Free Software Foundation; either
 * version 2 of the License, or (at your option) any later version.
 *
 * This library is distributed in the hope that it will be useful,
 * but WITHOUT ANY WARRANTY; without even the implied warranty of
 * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.	 See the GNU
 * Lesser General Public License for more details.
 *
 * You should have received a copy of the GNU Lesser General Public
 * License along with this library; if not, write to the
 * Free Software Foundation, Inc., 59 Temple Place - Suite 330,
 * Boston, MA 02111-1307, USA.
 */

/*
 * This file was originally part of the GNU C Library, and was modified to allow
 * user data to be passed in to the sorting function.
 *
 * Written by Douglas C. Schmidt (schmidt@ics.uci.edu).
 * Modified by Maciej Stachowiak (mjs@eazel.com)
 *
 * Modified by the GLib Team and others 1997-2000.  See the AUTHORS
 * file for a list of people on the GLib Team.  See the ChangeLog
 * files for a list of changes.  These files are distributed with GLib
 * at ftp://ftp.gtk.org/pub/gtk/.
 */

#include "config.h"

#include <limits.h>
#include <stdlib.h>
#include <string.h>

#include "gqsort.h"

#include "gtestutils.h"

#ifdef HAVE_QSORT_R

/**
 * g_qsort_with_data:
 * @pbase: start of array to sort
 * @total_elems: elements in the array
 * @size: size of each element
 * @compare_func: function to compare elements
 * @user_data: data to pass to @compare_func
 *
 * This is just like the standard C qsort() function, but
 * the comparison routine accepts a user data argument.
 */
void
g_qsort_with_data (gconstpointer    pbase,
                   gint             total_elems,
                   gsize            size,
                   GCompareDataFunc compare_func,
                   gpointer         user_data)
{
  qsort_r ((gpointer)pbase, total_elems, size, compare_func, user_data);
}

#else

/* Byte-wise swap two items of size SIZE. */
#define SWAP(a, b, size)						      \
  do									      \
    {									      \
      register size_t __size = (size);					      \
      register char *__a = (a), *__b = (b);				      \
      do								      \
	{								      \
	  char __tmp = *__a;						      \
	  *__a++ = *__b;						      \
	  *__b++ = __tmp;						      \
	} while (--__size > 0);						      \
    } while (0)

/* Discontinue quicksort algorithm when partition gets below this size.
   This particular magic number was chosen to work best on a Sun 4/260. */
#define MAX_THRESH 4

/* Stack node declarations used to store unfulfilled partition obligations. */
typedef struct
  {
    char *lo;
    char *hi;
  } stack_node;

/* The next 4 #defines implement a very fast in-line stack abstraction. */
/* The stack needs log (total_elements) entries (we could even subtract
   log(MAX_THRESH)).  Since total_elements has type size_t, we get as
   upper bound for log (total_elements):
   bits per byte (CHAR_BIT) * sizeof(size_t).  */
#define STACK_SIZE	(CHAR_BIT * sizeof(size_t))
#define PUSH(low, high)	((void) ((top->lo = (low)), (top->hi = (high)), ++top))
#define	POP(low, high)	((void) (--top, (low = top->lo), (high = top->hi)))
#define	STACK_NOT_EMPTY	(stack < top)


/* Order size using quicksort.  This implementation incorporates
   four optimizations discussed in Sedgewick:

   1. Non-recursive, using an explicit stack of pointer that store the
      next array partition to sort.  To save time, this maximum amount
      of space required to store an array of SIZE_MAX is allocated on the
      stack.  Assuming a 32-bit (64 bit) integer for size_t, this needs
      only 32 * sizeof(stack_node) == 256 bytes (for 64 bit: 1024 bytes).
      Pretty cheap, actually.

   2. Chose the pivot element using a median-of-three decision tree.
      This reduces the probability of selecting a bad pivot value and
      eliminates certain extraneous comparisons.

   3. Only quicksorts TOTAL_ELEMS / MAX_THRESH partitions, leaving
      insertion sort to order the MAX_THRESH items within each partition.
      This is a big win, since insertion sort is faster for small, mostly
      sorted array segments.

   4. The larger of the two sub-partitions is always pushed onto the
      stack first, with the algorithm then concentrating on the
      smaller partition.  This *guarantees* no more than log (total_elems)
      stack size is needed (actually O(1) in this case)!  */

void
g_qsort_with_data (gconstpointer    pbase,
		   gint             total_elems,
		   gsize            size,
		   GCompareDataFunc compare_func,
		   gpointer         user_data)
{
  register char *base_ptr = (char *) pbase;

  const size_t max_thresh = MAX_THRESH * size;

  g_return_if_fail (total_elems >= 0);
  g_return_if_fail (pbase != NULL || total_elems == 0);
  g_return_if_fail (compare_func != NULL);

  if (total_elems == 0)
    /* Avoid lossage with unsigned arithmetic below.  */
    return;

  if (total_elems > MAX_THRESH)
    {
      char *lo = base_ptr;
      char *hi = &lo[size * (total_elems - 1)];
      stack_node stack[STACK_SIZE];
      stack_node *top = stack;

      PUSH (NULL, NULL);

      while (STACK_NOT_EMPTY)
        {
          char *left_ptr;
          char *right_ptr;

	  /* Select median value from among LO, MID, and HI. Rearrange
	     LO and HI so the three values are sorted. This lowers the
	     probability of picking a pathological pivot value and
	     skips a comparison for both the LEFT_PTR and RIGHT_PTR in
	     the while loops. */

	  char *mid = lo + size * ((hi - lo) / size >> 1);

	  if ((*compare_func) ((void *) mid, (void *) lo, user_data) < 0)
	    SWAP (mid, lo, size);
	  if ((*compare_func) ((void *) hi, (void *) mid, user_data) < 0)
	    SWAP (mid, hi, size);
	  else
	    goto jump_over;
	  if ((*compare_func) ((void *) mid, (void *) lo, user_data) < 0)
	    SWAP (mid, lo, size);
	jump_over:;

	  left_ptr  = lo + size;
	  right_ptr = hi - size;

	  /* Here's the famous ``collapse the walls'' section of quicksort.
	     Gotta like those tight inner loops!  They are the main reason
	     that this algorithm runs much faster than others. */
	  do
	    {
	      while ((*compare_func) ((void *) left_ptr, (void *) mid, user_data) < 0)
		left_ptr += size;

	      while ((*compare_func) ((void *) mid, (void *) right_ptr, user_data) < 0)
		right_ptr -= size;

	      if (left_ptr < right_ptr)
		{
		  SWAP (left_ptr, right_ptr, size);
		  if (mid == left_ptr)
		    mid = right_ptr;
		  else if (mid == right_ptr)
		    mid = left_ptr;
		  left_ptr += size;
		  right_ptr -= size;
		}
	      else if (left_ptr == right_ptr)
		{
		  left_ptr += size;
		  right_ptr -= size;
		  break;
		}
	    }
	  while (left_ptr <= right_ptr);

          /* Set up pointers for next iteration.  First determine whether
             left and right partitions are below the threshold size.  If so,
             ignore one or both.  Otherwise, push the larger partition's
             bounds on the stack and continue sorting the smaller one. */

          if ((size_t) (right_ptr - lo) <= max_thresh)
            {
              if ((size_t) (hi - left_ptr) <= max_thresh)
		/* Ignore both small partitions. */
                POP (lo, hi);
              else
		/* Ignore small left partition. */
                lo = left_ptr;
            }
          else if ((size_t) (hi - left_ptr) <= max_thresh)
	    /* Ignore small right partition. */
            hi = right_ptr;
          else if ((right_ptr - lo) > (hi - left_ptr))
            {
	      /* Push larger left partition indices. */
              PUSH (lo, right_ptr);
              lo = left_ptr;
            }
          else
            {
	      /* Push larger right partition indices. */
              PUSH (left_ptr, hi);
              hi = right_ptr;
            }
        }
    }

  /* Once the BASE_PTR array is partially sorted by quicksort the rest
     is completely sorted using insertion sort, since this is efficient
     for partitions below MAX_THRESH size. BASE_PTR points to the beginning
     of the array to sort, and END_PTR points at the very last element in
     the array (*not* one beyond it!). */

#define min(x, y) ((x) < (y) ? (x) : (y))

  {
    char *const end_ptr = &base_ptr[size * (total_elems - 1)];
    char *tmp_ptr = base_ptr;
    char *thresh = min(end_ptr, base_ptr + max_thresh);
    register char *run_ptr;

    /* Find smallest element in first threshold and place it at the
       array's beginning.  This is the smallest array element,
       and the operation speeds up insertion sort's inner loop. */

    for (run_ptr = tmp_ptr + size; run_ptr <= thresh; run_ptr += size)
      if ((*compare_func) ((void *) run_ptr, (void *) tmp_ptr, user_data) < 0)
        tmp_ptr = run_ptr;

    if (tmp_ptr != base_ptr)
      SWAP (tmp_ptr, base_ptr, size);

    /* Insertion sort, running from left-hand-side up to right-hand-side.  */

    run_ptr = base_ptr + size;
    while ((run_ptr += size) <= end_ptr)
      {
	tmp_ptr = run_ptr - size;
	while ((*compare_func) ((void *) run_ptr, (void *) tmp_ptr, user_data) < 0)
	  tmp_ptr -= size;

	tmp_ptr += size;
        if (tmp_ptr != run_ptr)
          {
            char *trav;

	    trav = run_ptr + size;
	    while (--trav >= run_ptr)
              {
                char c = *trav;
                char *hi, *lo;

                for (hi = lo = trav; (lo -= size) >= tmp_ptr; hi = lo)
                  *hi = *lo;
                *hi = c;
              }
          }
      }
  }
}

#endif /* HAVE_QSORT_R */