1 ------------------------------------------------------------------------------
3 -- GNAT RUN-TIME COMPONENTS --
5 -- G N A T . H E A P _ S O R T --
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23 -- unit, or you link this unit with other files to produce an executable, --
24 -- this unit does not by itself cause the resulting executable to be --
25 -- covered by the GNU General Public License. This exception does not --
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29 -- GNAT was originally developed by the GNAT team at New York University. --
30 -- Extensive contributions were provided by Ada Core Technologies Inc. --
32 ------------------------------------------------------------------------------
34 package body GNAT
.Heap_Sort
is
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; Xchg
: Xchg_Procedure
; Lt
: Lt_Function
) is
51 -- Current Max index in tree being sifted. Note that we make Max
52 -- Natural rather than Positive so that the case of sorting zero
53 -- elements is correctly handled (i.e. does nothing at all).
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.
64 procedure Sift
(S
: Positive) is
70 -- This is where the optimization is done, normally we would do a
71 -- comparison at each stage between the current node and the larger
72 -- of the two sons, and continue the sift only if the current node
73 -- was less than this maximum. In this modified optimized version,
74 -- we assume that the current node will be less than the larger
75 -- son, and unconditionally sift up. Then when we get to the bottom
76 -- of the tree, we check parents to make sure that we did not make
77 -- a mistake. This roughly cuts the number of comparisons in half,
78 -- since it is almost always the case that our assumption is correct.
80 -- Loop to pull up larger sons
86 if Lt
(Son
, Son
+ 1) then
97 -- Loop to check fathers
102 if Lt
(Father
, C
) then
111 -- Start of processing for Sort
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
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.