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1 # Copyright (C) 2003 Vladimir Prus
2 # Use, modification, and distribution is subject to the Boost Software
3 # License, Version 1.0. (See accompanying file LICENSE_1_0.txt or copy
4 # at http://www.boost.org/LICENSE_1_0.txt)
5
6 class Order:
7 """Allows ordering arbitrary objects with regard to arbitrary binary relation.
8
9 The primary use case is the gcc toolset, which is sensitive to
10 library order: if library 'a' uses symbols from library 'b',
11 then 'a' must be present before 'b' on the linker's command line.
12
13 This requirement can be lifted for gcc with GNU ld, but for gcc with
14 Solaris LD (and for Solaris toolset as well), the order always matters.
15
16 So, we need to store order requirements and then order libraries
17 according to them. It it not possible to use dependency graph as
18 order requirements. What we need is "use symbols" relationship
19 while dependency graph provides "needs to be updated" relationship.
20
21 For example::
22 lib a : a.cpp b;
23 lib b ;
24
25 For static linking, the 'a' library need not depend on 'b'. However, it
26 still should come before 'b' on the command line.
27 """
28
29 def __init__ (self):
30 self.constraints_ = []
31
32 def add_pair (self, first, second):
33 """ Adds the constraint that 'first' should precede 'second'.
34 """
35 self.constraints_.append ((first, second))
36
37 def order (self, objects):
38 """ Given a list of objects, reorder them so that the constains specified
39 by 'add_pair' are satisfied.
40
41 The algorithm was adopted from an awk script by Nikita Youshchenko
42 (yoush at cs dot msu dot su)
43 """
44 # The algorithm used is the same is standard transitive closure,
45 # except that we're not keeping in-degree for all vertices, but
46 # rather removing edges.
47 result = []
48
49 if not objects:
50 return result
51
52 constraints = self.__eliminate_unused_constraits (objects)
53
54 # Find some library that nobody depends upon and add it to
55 # the 'result' array.
56 obj = None
57 while objects:
58 new_objects = []
59 while objects:
60 obj = objects [0]
61
62 if self.__has_no_dependents (obj, constraints):
63 # Emulate break ;
64 new_objects.extend (objects [1:])
65 objects = []
66
67 else:
68 new_objects.append (obj)
69 obj = None
70 objects = objects [1:]
71
72 if not obj:
73 raise BaseException ("Circular order dependencies")
74
75 # No problem with placing first.
76 result.append (obj)
77
78 # Remove all contains where 'obj' comes first,
79 # since they are already satisfied.
80 constraints = self.__remove_satisfied (constraints, obj)
81
82 # Add the remaining objects for further processing
83 # on the next iteration
84 objects = new_objects
85
86 return result
87
88 def __eliminate_unused_constraits (self, objects):
89 """ Eliminate constraints which mention objects not in 'objects'.
90 In graph-theory terms, this is finding subgraph induced by
91 ordered vertices.
92 """
93 result = []
94 for c in self.constraints_:
95 if c [0] in objects and c [1] in objects:
96 result.append (c)
97
98 return result
99
100 def __has_no_dependents (self, obj, constraints):
101 """ Returns true if there's no constraint in 'constraints' where
102 'obj' comes second.
103 """
104 failed = False
105 while constraints and not failed:
106 c = constraints [0]
107
108 if c [1] == obj:
109 failed = True
110
111 constraints = constraints [1:]
112
113 return not failed
114
115 def __remove_satisfied (self, constraints, obj):
116 result = []
117 for c in constraints:
118 if c [0] != obj:
119 result.append (c)
120
121 return result