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1 ------------------------------------------------------------------------------
2 -- --
3 -- GNAT RUNTIME COMPONENTS --
4 -- --
5 -- G N A T . H E A P _ S O R T _ G --
6 -- --
7 -- B o d y --
8 -- --
9 -- $Revision: 1.1 $
10 -- --
11 -- Copyright (C) 1995-1999 Ada Core Technologies, Inc. --
12 -- --
13 -- GNAT is free software; you can redistribute it and/or modify it under --
14 -- terms of the GNU General Public License as published by the Free Soft- --
15 -- ware Foundation; either version 2, or (at your option) any later ver- --
16 -- sion. GNAT is distributed in the hope that it will be useful, but WITH- --
17 -- OUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY --
18 -- or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License --
19 -- for more details. You should have received a copy of the GNU General --
20 -- Public License distributed with GNAT; see file COPYING. If not, write --
21 -- to the Free Software Foundation, 59 Temple Place - Suite 330, Boston, --
22 -- MA 02111-1307, USA. --
23 -- --
24 -- As a special exception, if other files instantiate generics from this --
25 -- unit, or you link this unit with other files to produce an executable, --
26 -- this unit does not by itself cause the resulting executable to be --
27 -- covered by the GNU General Public License. This exception does not --
28 -- however invalidate any other reasons why the executable file might be --
29 -- covered by the GNU Public License. --
30 -- --
31 -- GNAT is maintained by Ada Core Technologies Inc (http://www.gnat.com). --
32 -- --
33 ------------------------------------------------------------------------------
35 package body GNAT.Heap_Sort_G is
37 ----------
38 -- Sort --
39 ----------
41 -- We are using the classical heapsort algorithm (i.e. Floyd's Treesort3)
42 -- as described by Knuth ("The Art of Programming", Volume III, first
43 -- edition, section 5.2.3, p. 145-147) with the modification that is
44 -- mentioned in exercise 18. For more details on this algorithm, see
45 -- Robert B. K. Dewar PhD thesis "The use of Computers in the X-ray
46 -- Phase Problem". University of Chicago, 1968, which was the first
47 -- publication of the modification, which reduces the number of compares
48 -- from 2NlogN to NlogN.
50 procedure Sort (N : Natural) is
52 Max : Natural := N;
53 -- Current Max index in tree being sifted
55 procedure Sift (S : Positive);
56 -- This procedure sifts up node S, i.e. converts the subtree rooted
57 -- at node S into a heap, given the precondition that any sons of
58 -- S are already heaps. On entry, the contents of node S is found
59 -- in the temporary (index 0), the actual contents of node S on
60 -- entry are irrelevant. This is just a minor optimization to avoid
61 -- what would otherwise be two junk moves in phase two of the sort.
63 procedure Sift (S : Positive) is
64 C : Positive := S;
65 Son : Positive;
66 Father : Positive;
68 begin
69 -- This is where the optimization is done, normally we would do a
70 -- comparison at each stage between the current node and the larger
71 -- of the two sons, and continue the sift only if the current node
72 -- was less than this maximum. In this modified optimized version,
73 -- we assume that the current node will be less than the larger
74 -- son, and unconditionally sift up. Then when we get to the bottom
75 -- of the tree, we check parents to make sure that we did not make
76 -- a mistake. This roughly cuts the number of comparisions in half,
77 -- since it is almost always the case that our assumption is correct.
79 -- Loop to pull up larger sons
81 loop
82 Son := 2 * C;
83 exit when Son > Max;
85 if Son < Max and then Lt (Son, Son + 1) then
86 Son := Son + 1;
87 end if;
89 Move (Son, C);
90 C := Son;
91 end loop;
93 -- Loop to check fathers
95 while C /= S loop
96 Father := C / 2;
98 if Lt (Father, 0) then
99 Move (Father, C);
100 C := Father;
101 else
102 exit;
103 end if;
104 end loop;
106 -- Last step is to pop the sifted node into place
108 Move (0, C);
109 end Sift;
111 -- Start of processing for Sort
113 begin
114 -- Phase one of heapsort is to build the heap. This is done by
115 -- sifting nodes N/2 .. 1 in sequence.
117 for J in reverse 1 .. N / 2 loop
118 Move (J, 0);
119 Sift (J);
120 end loop;
122 -- In phase 2, the largest node is moved to end, reducing the size
123 -- of the tree by one, and the displaced node is sifted down from
124 -- the top, so that the largest node is again at the top.
126 while Max > 1 loop
127 Move (Max, 0);
128 Move (1, Max);
129 Max := Max - 1;
130 Sift (1);
131 end loop;
133 end Sort;
135 end GNAT.Heap_Sort_G;