-
Notifications
You must be signed in to change notification settings - Fork 3
/
utils.i
166 lines (143 loc) · 4.73 KB
/
utils.i
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
%{
#ifdef PYCUDD_DEBUG
#define using_map(x) printf("Entering typemap for %s\n",x);
#endif
/////////////////////////////////////////////
//
// This takes a PyObject * result that is assumed to be a long
// If it is 0, there is no array to convert in src, else, there
// is an array of sz elements to grab from there
//
/////////////////////////////////////////////
static PyObject * array_to_tuple(PyObject *dest, int **src, int sz) {
PyObject *o2, *result;
// Note: When adding o2 to the tuple using PyTuple_SetItem, Py_DECREF is not called, since
// PyTuple_SetItem is one of a few functions that "steal" a reference (Python manual terminology)
// What this means is that PyTuple_SetItem will take care of the DECREF when the tuple is destroyed
int chk;
int i;
o2 = dest;
chk = (int) PyInt_AsLong(o2);
if (chk) {
result = PyTuple_New(sz+1);
PyTuple_SetItem(result,0,o2);
for (i=0;i<sz;i++) PyTuple_SetItem(result,i+1,PyInt_FromLong((*src)[i]));
// Note that DdGen will free the memory allocated for the int array
}
else {
result = PyTuple_New(1);
PyTuple_SetItem(result,0,o2);
}
return result;
}
%}
///////////////////////////////////////////////////
//
// Typemaps dum_sup and dum_cube both use the variable
// int **cube_iter, defined in pycudd.cpp
//
///////////////////////////////////////////////////
///////////////////////////////////////////////////
//
// dum_sup is used to return arrays of ints where
// the array has to be freed by us.
// Used in : DdNode.SupportIndex, DdArray.VectorSupportIndex
// Uses global : int **cube_iter, defined in pycudd.cpp
//
///////////////////////////////////////////////////
%typemap(argout) (DdManager* mgr, int **dum_sup) {
#ifdef PYCUDD_DEBUG
using_map("dum_sup")
#endif
int sz = Cudd_ReadSize($1);
int chk = (int) PyInt_AsLong($result);
$result = array_to_tuple($result, $2, sz);
if (chk) FREE(*$2);
}
%typemap(in,numinputs=0) int **dum_sup {
$1 = cube_iter;
}
///////////////////////////////////////////////////
//
// dum_cube is used to return arrays of ints where the
// array is freed by other means.
// Used by : DdNode.FirstCube, DdNode.NextCube, DdNode.FirstPrime, DdNode.NextPrime
// In all the above cases, the call to Cudd_GenFree at the end of
// enumeration takes care of freeing the memory
// Uses global : int **cube_iter, defined in pycudd.cpp
//
///////////////////////////////////////////////////
%typemap(argout) (DdManager* mgr, int **dum_cube) {
#ifdef PYCUDD_DEBUG
using_map("dum_cube")
#endif
int sz = Cudd_ReadSize($1);
$result = array_to_tuple($result, $2, sz);
}
%typemap(in,numinputs=0) int **dum_cube {
$1 = cube_iter;
}
///////////////////////////////////////////////////
//
// dum_y is used to return a single DdNode *, given a
// DdNode **.
// Note: We have to ref the node we return!
// Used by : DdNode.FirstNode, DdNode.NextNode
// Uses global : DdNode **node_iter, defined in pycudd.cpp
//
///////////////////////////////////////////////////
%typemap(argout) DdNode **dum_y {
PyObject *o, *o2;
#ifdef PYCUDD_DEBUG
using_map("dum_y")
#endif
Cudd_Ref(*$1);
o = SWIG_NewPointerObj(*$1,$descriptor(DdNode *),0);
o2 = $result;
$result = PyTuple_New(2);
PyTuple_SetItem($result,0,o2);
PyTuple_SetItem($result,1,o);
}
%typemap(in,numinputs=0) DdNode **dum_y {
$1 = node_iter;
}
///////////////////////////////////////////////////
//
// dum_juncts is used to return a pair of DdNodes given a
// DdNode *** ie a pointer to an array of DdNode*
// Used by : DdNode.ApproxConjDecompts, DdNode.ApproxDisjDecompts, DdNode.IterConjDecomp,
// DdNode.IterDisjDecomp, DdNode.GenConjDecomp, DdNode.GenDisjDecomp,
// DdNode.VarConjDecomp, DdNode.VarDisjDecomp
// NOTE: None of the above funcs free the space for the array -- we do that
// Uses global : DdNode ***glob_conj, defined in pycudd.cpp
//
///////////////////////////////////////////////////
%typemap(argout) DdNode ***dum_juncts {
int num_nds;
PyObject *o, *o2;
#ifdef PYCUDD_DEBUG
using_map("dum_juncts")
#endif
num_nds = (int) PyInt_AsLong($result);
if (num_nds == 1) {
o = SWIG_NewPointerObj(**$1,$descriptor(DdNode *),0);
o2 = $result;
$result = PyTuple_New(2);
PyTuple_SetItem($result,0,o2);
PyTuple_SetItem($result,1,o);
}
if (num_nds == 2) {
o2 = $result;
$result = PyTuple_New(3);
PyTuple_SetItem($result,0,o2);
o = SWIG_NewPointerObj((*$1)[0],$descriptor(DdNode *),0);
PyTuple_SetItem($result,1,o);
o = SWIG_NewPointerObj((*$1)[1],$descriptor(DdNode *),0);
PyTuple_SetItem($result,2,o);
}
// The storage for the con/dis juncts is NOT freed by CUDD -- we have to do it
FREE(*$1);
}
%typemap(in,numinputs=0) DdNode ***dum_juncts {
$1 = glob_conj;
}