PR rtl-optimization/79386
[official-gcc.git] / gcc / ada / g-hesora.adb
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1 ------------------------------------------------------------------------------
2 -- --
3 -- GNAT RUN-TIME COMPONENTS --
4 -- --
5 -- G N A T . H E A P _ S O R T _ A --
6 -- --
7 -- B o d y --
8 -- --
9 -- Copyright (C) 1995-2013, AdaCore --
10 -- --
11 -- GNAT is free software; you can redistribute it and/or modify it under --
12 -- terms of the GNU General Public License as published by the Free Soft- --
13 -- ware Foundation; either version 3, or (at your option) any later ver- --
14 -- sion. GNAT is distributed in the hope that it will be useful, but WITH- --
15 -- OUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY --
16 -- or FITNESS FOR A PARTICULAR PURPOSE. --
17 -- --
18 -- As a special exception under Section 7 of GPL version 3, you are granted --
19 -- additional permissions described in the GCC Runtime Library Exception, --
20 -- version 3.1, as published by the Free Software Foundation. --
21 -- --
22 -- You should have received a copy of the GNU General Public License and --
23 -- a copy of the GCC Runtime Library Exception along with this program; --
24 -- see the files COPYING3 and COPYING.RUNTIME respectively. If not, see --
25 -- <http://www.gnu.org/licenses/>. --
26 -- --
27 -- GNAT was originally developed by the GNAT team at New York University. --
28 -- Extensive contributions were provided by Ada Core Technologies Inc. --
29 -- --
30 ------------------------------------------------------------------------------
32 pragma Compiler_Unit_Warning;
34 package body GNAT.Heap_Sort_A is
36 ----------
37 -- Sort --
38 ----------
40 -- We are using the classical heapsort algorithm (i.e. Floyd's Treesort3)
41 -- as described by Knuth ("The Art of Programming", Volume III, first
42 -- edition, section 5.2.3, p. 145-147) with the modification that is
43 -- mentioned in exercise 18. For more details on this algorithm, see
44 -- Robert B. K. Dewar PhD thesis "The use of Computers in the X-ray
45 -- Phase Problem". University of Chicago, 1968, which was the first
46 -- publication of the modification, which reduces the number of compares
47 -- from 2NlogN to NlogN.
49 procedure Sort (N : Natural; Move : Move_Procedure; Lt : Lt_Function) is
51 Max : Natural := N;
52 -- Current Max index in tree being sifted
54 procedure Sift (S : Positive);
55 -- This procedure sifts up node S, i.e. converts the subtree rooted
56 -- at node S into a heap, given the precondition that any sons of
57 -- S are already heaps. On entry, the contents of node S is found
58 -- in the temporary (index 0), the actual contents of node S on
59 -- entry are irrelevant. This is just a minor optimization to avoid
60 -- what would otherwise be two junk moves in phase two of the sort.
62 procedure Sift (S : Positive) is
63 C : Positive := S;
64 Son : Positive;
65 Father : Positive;
67 begin
68 -- This is where the optimization is done, normally we would do a
69 -- comparison at each stage between the current node and the larger
70 -- of the two sons, and continue the sift only if the current node
71 -- was less than this maximum. In this modified optimized version,
72 -- we assume that the current node will be less than the larger
73 -- son, and unconditionally sift up. Then when we get to the bottom
74 -- of the tree, we check parents to make sure that we did not make
75 -- a mistake. This roughly cuts the number of comparisons in half,
76 -- since it is almost always the case that our assumption is correct.
78 -- Loop to pull up larger sons
80 loop
81 Son := 2 * C;
82 exit when Son > Max;
84 if Son < Max and then Lt (Son, Son + 1) then
85 Son := Son + 1;
86 end if;
88 Move (Son, C);
89 C := Son;
90 end loop;
92 -- Loop to check fathers
94 while C /= S loop
95 Father := C / 2;
97 if Lt (Father, 0) then
98 Move (Father, C);
99 C := Father;
100 else
101 exit;
102 end if;
103 end loop;
105 -- Last step is to pop the sifted node into place
107 Move (0, C);
108 end Sift;
110 -- Start of processing for Sort
112 begin
113 -- Phase one of heapsort is to build the heap. This is done by
114 -- sifting nodes N/2 .. 1 in sequence.
116 for J in reverse 1 .. N / 2 loop
117 Move (J, 0);
118 Sift (J);
119 end loop;
121 -- In phase 2, the largest node is moved to end, reducing the size
122 -- of the tree by one, and the displaced node is sifted down from
123 -- the top, so that the largest node is again at the top.
125 while Max > 1 loop
126 Move (Max, 0);
127 Move (1, Max);
128 Max := Max - 1;
129 Sift (1);
130 end loop;
132 end Sort;
134 end GNAT.Heap_Sort_A;