isl_tab_pip.c: propagate some equalities from gbr context to main tableau
[isl.git] / polytope_scan.c
blobc62cb7373593f71047a56d9f48614735b2d084f1
1 #include <assert.h>
2 #include "isl_basis_reduction.h"
3 #include "isl_equalities.h"
4 #include "isl_seq.h"
5 #include "isl_tab.h"
6 #include "isl_vec.h"
8 /* The input of this program is the same as that of the "polytope_scan"
9 * program from the barvinok distribution.
11 * Constraints of set is PolyLib format.
13 * The input set is assumed to be bounded.
16 static struct isl_mat *isl_basic_set_samples(struct isl_basic_set *bset);
18 static struct isl_mat *samples_eq(struct isl_basic_set *bset)
20 struct isl_mat *T;
21 struct isl_mat *samples;
23 bset = isl_basic_set_remove_equalities(bset, &T, NULL);
24 samples = isl_basic_set_samples(bset);
25 return isl_mat_product(samples, isl_mat_transpose(T));
28 /* Add the current sample value of the tableau "tab" to the list
29 * in "samples".
31 static struct isl_mat *add_solution(struct isl_mat *samples,
32 struct isl_tab *tab)
34 struct isl_vec *sample;
36 if (!samples || !tab)
37 goto error;
38 samples = isl_mat_extend(samples, samples->n_row + 1, samples->n_col);
39 if (!samples)
40 return NULL;
41 sample = isl_tab_get_sample_value(tab);
42 if (!sample)
43 goto error;
44 isl_seq_cpy(samples->row[samples->n_row - 1], sample->el, sample->size);
45 isl_vec_free(sample);
46 return samples;
47 error:
48 isl_mat_free(samples);
49 return NULL;
52 /* Look for and return all integer points in "bset", which is assumed
53 * to be unbounded.
55 * We first compute a reduced basis for the set and then scan
56 * the set in the directions of this basis.
57 * We basically perform a depth first search, where in each level i
58 * we compute the range in the i-th basis vector direction, given
59 * fixed values in the directions of the previous basis vector.
60 * We then add an equality to the tableau fixing the value in the
61 * direction of the current basis vector to each value in the range
62 * in turn and then continue to the next level.
64 * The search is implemented iteratively. "level" identifies the current
65 * basis vector. "init" is true if we want the first value at the current
66 * level and false if we want the next value.
67 * Solutions are added in the leaves of the search tree, i.e., after
68 * we have fixed a value in each direction of the basis.
70 static struct isl_mat *isl_basic_set_samples(struct isl_basic_set *bset)
72 unsigned dim;
73 struct isl_mat *B = NULL;
74 struct isl_tab *tab = NULL;
75 struct isl_vec *min;
76 struct isl_vec *max;
77 struct isl_mat *samples;
78 struct isl_tab_undo **snap;
79 int level;
80 int init;
81 enum isl_lp_result res;
83 if (bset->n_eq)
84 return samples_eq(bset);
86 dim = isl_basic_set_total_dim(bset);
88 min = isl_vec_alloc(bset->ctx, dim);
89 max = isl_vec_alloc(bset->ctx, dim);
90 samples = isl_mat_alloc(bset->ctx, 0, 1 + dim);
91 snap = isl_alloc_array(bset->ctx, struct isl_tab_undo *, dim);
93 if (!min || !max || !samples || !snap)
94 goto error;
96 tab = isl_tab_from_basic_set(bset);
97 if (!tab)
98 goto error;
100 tab->basis = isl_mat_identity(bset->ctx, 1 + dim);
101 if (1)
102 tab = isl_tab_compute_reduced_basis(tab);
103 if (!tab)
104 goto error;
105 B = isl_mat_copy(tab->basis);
106 if (!B)
107 goto error;
109 level = 0;
110 init = 1;
112 while (level >= 0) {
113 int empty = 0;
114 if (init) {
115 res = isl_tab_min(tab, B->row[1 + level],
116 bset->ctx->one, &min->el[level], NULL, 0);
117 if (res == isl_lp_empty)
118 empty = 1;
119 if (res == isl_lp_error || res == isl_lp_unbounded)
120 goto error;
121 isl_seq_neg(B->row[1 + level] + 1,
122 B->row[1 + level] + 1, dim);
123 res = isl_tab_min(tab, B->row[1 + level],
124 bset->ctx->one, &max->el[level], NULL, 0);
125 isl_seq_neg(B->row[1 + level] + 1,
126 B->row[1 + level] + 1, dim);
127 isl_int_neg(max->el[level], max->el[level]);
128 if (res == isl_lp_empty)
129 empty = 1;
130 if (res == isl_lp_error || res == isl_lp_unbounded)
131 goto error;
132 snap[level] = isl_tab_snap(tab);
133 } else
134 isl_int_add_ui(min->el[level], min->el[level], 1);
136 if (empty || isl_int_gt(min->el[level], max->el[level])) {
137 level--;
138 init = 0;
139 if (level >= 0)
140 isl_tab_rollback(tab, snap[level]);
141 continue;
143 isl_int_neg(B->row[1 + level][0], min->el[level]);
144 tab = isl_tab_add_valid_eq(tab, B->row[1 + level]);
145 isl_int_set_si(B->row[1 + level][0], 0);
146 if (level < dim - 1) {
147 ++level;
148 init = 1;
149 continue;
151 samples = add_solution(samples, tab);
152 init = 0;
153 isl_tab_rollback(tab, snap[level]);
156 isl_tab_free(tab);
157 free(snap);
158 isl_vec_free(min);
159 isl_vec_free(max);
160 isl_basic_set_free(bset);
161 isl_mat_free(B);
162 return samples;
163 error:
164 isl_tab_free(tab);
165 free(snap);
166 isl_mat_free(samples);
167 isl_vec_free(min);
168 isl_vec_free(max);
169 isl_basic_set_free(bset);
170 isl_mat_free(B);
171 return NULL;
174 int main(int argc, char **argv)
176 struct isl_ctx *ctx = isl_ctx_alloc();
177 struct isl_basic_set *bset;
178 struct isl_mat *samples;
180 bset = isl_basic_set_read_from_file(ctx, stdin, 0, ISL_FORMAT_POLYLIB);
181 samples = isl_basic_set_samples(bset);
182 isl_mat_dump(samples, stdout, 0);
183 isl_mat_free(samples);
184 isl_ctx_free(ctx);
186 return 0;