export isl_pw_qpolynomial_fold_add
[isl.git] / pip.c
blob5d05ddc8b333d93cb1267311cf76a5286a5f7fcc
1 /*
2 * Copyright 2008-2009 Katholieke Universiteit Leuven
4 * Use of this software is governed by the GNU LGPLv2.1 license
6 * Written by Sven Verdoolaege, K.U.Leuven, Departement
7 * Computerwetenschappen, Celestijnenlaan 200A, B-3001 Leuven, Belgium
8 */
10 #include <assert.h>
11 #include <string.h>
12 #include "isl_set.h"
13 #include "isl_tab.h"
14 #include "isl_map_private.h"
15 #include "isl_sample.h"
16 #include "isl_scan.h"
17 #include "isl_seq.h"
18 #include "isl_ilp.h"
19 #include <isl_point_private.h>
21 /* The input of this program is the same as that of the "example" program
22 * from the PipLib distribution, except that the "big parameter column"
23 * should always be -1.
25 * Context constraints in PolyLib format
26 * -1
27 * Problem constraints in PolyLib format
28 * Optional list of options
30 * The options are
31 * Maximize compute maximum instead of minimum
32 * Rational compute rational optimum instead of integer optimum
33 * Urs_parms don't assume parameters are non-negative
34 * Urs_unknowns don't assume unknowns are non-negative
37 struct options {
38 struct isl_options *isl;
39 unsigned verify;
42 struct isl_arg options_arg[] = {
43 ISL_ARG_CHILD(struct options, isl, "isl", isl_options_arg, "isl options")
44 ISL_ARG_BOOL(struct options, verify, 'T', "verify", 0, NULL)
45 ISL_ARG_END
48 ISL_ARG_DEF(options, struct options, options_arg)
50 static struct isl_basic_set *to_parameter_domain(struct isl_basic_set *context)
52 struct isl_dim *param_dim;
53 struct isl_basic_set *model;
55 param_dim = isl_dim_set_alloc(context->ctx,
56 isl_basic_set_n_dim(context), 0);
57 model = isl_basic_set_empty(param_dim);
58 context = isl_basic_set_from_underlying_set(context, model);
60 return context;
63 static isl_basic_set *construct_cube(isl_basic_set *context)
65 int i;
66 unsigned dim;
67 int range;
68 isl_int m, M;
69 struct isl_basic_set *cube;
70 struct isl_basic_set *interval;
71 struct isl_basic_set_list *list;
73 dim = isl_basic_set_total_dim(context);
74 if (dim == 0) {
75 struct isl_dim *dims;
76 dims = isl_dim_set_alloc(context->ctx, 0, 0);
77 return isl_basic_set_universe(dims);
80 if (dim >= 8)
81 range = 4;
82 else if (dim >= 5)
83 range = 6;
84 else
85 range = 30;
87 isl_int_init(m);
88 isl_int_init(M);
90 isl_int_set_si(m, -range);
91 isl_int_set_si(M, range);
93 interval = isl_basic_set_interval(context->ctx, m, M);
94 list = isl_basic_set_list_alloc(context->ctx, dim);
95 for (i = 0; i < dim; ++i)
96 list = isl_basic_set_list_add(list, isl_basic_set_copy(interval));
97 isl_basic_set_free(interval);
98 cube = isl_basic_set_product(list);
100 isl_int_clear(m);
101 isl_int_clear(M);
103 return cube;
106 isl_basic_set *plug_in_parameters(isl_basic_set *bset, struct isl_vec *params)
108 int i;
110 for (i = 0; i < params->size - 1; ++i)
111 bset = isl_basic_set_fix(bset,
112 isl_dim_param, i, params->el[1 + i]);
114 bset = isl_basic_set_remove_dims(bset,
115 isl_dim_param, 0, params->size - 1);
117 isl_vec_free(params);
119 return bset;
122 isl_set *set_plug_in_parameters(isl_set *set, struct isl_vec *params)
124 int i;
126 for (i = 0; i < params->size - 1; ++i)
127 set = isl_set_fix(set, isl_dim_param, i, params->el[1 + i]);
129 set = isl_set_remove_dims(set, isl_dim_param, 0, params->size - 1);
131 isl_vec_free(params);
133 return set;
136 /* Compute the lexicographically minimal (or maximal if max is set)
137 * element of bset for the given values of the parameters, by
138 * successively solving an ilp problem in each direction.
140 struct isl_vec *opt_at(struct isl_basic_set *bset,
141 struct isl_vec *params, int max)
143 unsigned dim;
144 struct isl_vec *opt;
145 struct isl_vec *obj;
146 int i;
148 dim = isl_basic_set_dim(bset, isl_dim_set);
150 bset = plug_in_parameters(bset, params);
152 if (isl_basic_set_fast_is_empty(bset)) {
153 opt = isl_vec_alloc(bset->ctx, 0);
154 isl_basic_set_free(bset);
155 return opt;
158 opt = isl_vec_alloc(bset->ctx, 1 + dim);
159 assert(opt);
161 obj = isl_vec_alloc(bset->ctx, 1 + dim);
162 assert(obj);
164 isl_int_set_si(opt->el[0], 1);
165 isl_int_set_si(obj->el[0], 0);
167 for (i = 0; i < dim; ++i) {
168 enum isl_lp_result res;
170 isl_seq_clr(obj->el + 1, dim);
171 isl_int_set_si(obj->el[1 + i], 1);
172 res = isl_basic_set_solve_ilp(bset, max, obj->el,
173 &opt->el[1 + i], NULL);
174 if (res == isl_lp_empty)
175 goto empty;
176 assert(res == isl_lp_ok);
177 bset = isl_basic_set_fix(bset, isl_dim_set, i, opt->el[1 + i]);
180 isl_basic_set_free(bset);
181 isl_vec_free(obj);
183 return opt;
184 empty:
185 isl_vec_free(opt);
186 opt = isl_vec_alloc(bset->ctx, 0);
187 isl_basic_set_free(bset);
188 isl_vec_free(obj);
190 return opt;
193 struct isl_scan_pip {
194 struct isl_scan_callback callback;
195 isl_basic_set *bset;
196 isl_set *sol;
197 isl_set *empty;
198 int stride;
199 int n;
200 int max;
203 /* Check if the "manually" computed optimum of bset at the "sample"
204 * values of the parameters agrees with the solution of pilp problem
205 * represented by the pair (sol, empty).
206 * In particular, if there is no solution for this value of the parameters,
207 * then it should be an element of the parameter domain "empty".
208 * Otherwise, the optimal solution, should be equal to the result of
209 * plugging in the value of the parameters in "sol".
211 static int scan_one(struct isl_scan_callback *callback,
212 __isl_take isl_vec *sample)
214 struct isl_scan_pip *sp = (struct isl_scan_pip *)callback;
215 struct isl_vec *opt;
217 opt = opt_at(isl_basic_set_copy(sp->bset), isl_vec_copy(sample), sp->max);
218 assert(opt);
220 if (opt->size == 0) {
221 isl_point *sample_pnt;
222 sample_pnt = isl_point_alloc(isl_set_get_dim(sp->empty), sample);
223 assert(isl_set_contains_point(sp->empty, sample_pnt));
224 isl_point_free(sample_pnt);
225 isl_vec_free(opt);
226 } else {
227 isl_set *sol;
228 isl_set *opt_set;
229 opt_set = isl_set_from_basic_set(isl_basic_set_from_vec(opt));
230 sol = set_plug_in_parameters(isl_set_copy(sp->sol), sample);
231 assert(isl_set_is_equal(opt_set, sol));
232 isl_set_free(sol);
233 isl_set_free(opt_set);
236 if (!(sp->n++ % sp->stride)) {
237 printf("o");
238 fflush(stdout);
241 return 0;
244 struct isl_scan_count {
245 struct isl_scan_callback callback;
246 int n;
249 static int count_one(struct isl_scan_callback *callback,
250 __isl_take isl_vec *sample)
252 struct isl_scan_count *sc = (struct isl_scan_count *)callback;
253 isl_vec_free(sample);
255 sc->n++;
257 return 0;
260 static void check_solution(isl_basic_set *bset, isl_basic_set *context,
261 isl_set *sol, isl_set *empty, int max)
263 isl_basic_set *cube;
264 struct isl_scan_count sc;
265 struct isl_scan_pip sp;
266 int i;
267 int r;
269 context = isl_basic_set_underlying_set(context);
271 cube = construct_cube(context);
272 context = isl_basic_set_intersect(context, cube);
274 sc.callback.add = count_one;
275 sc.n = 0;
277 r = isl_basic_set_scan(isl_basic_set_copy(context), &sc.callback);
278 assert (r == 0);
280 sp.callback.add = scan_one;
281 sp.bset = bset;
282 sp.sol = sol;
283 sp.empty = empty;
284 sp.n = 0;
285 sp.stride = sc.n > 70 ? 1 + (sc.n + 1)/70 : 1;
286 sp.max = max;
288 for (i = 0; i < sc.n; i += sp.stride)
289 printf(".");
290 printf("\r");
291 fflush(stdout);
293 r = isl_basic_set_scan(context, &sp.callback);
294 assert(r == 0);
296 printf("\n");
298 isl_basic_set_free(bset);
301 int main(int argc, char **argv)
303 struct isl_ctx *ctx;
304 struct isl_basic_set *context, *bset, *copy, *context_copy;
305 struct isl_set *set;
306 struct isl_set *empty;
307 int neg_one;
308 char s[1024];
309 int urs_parms = 0;
310 int urs_unknowns = 0;
311 int max = 0;
312 int rational = 0;
313 int n;
314 struct options *options;
316 options = options_new_with_defaults();
317 assert(options);
318 argc = options_parse(options, argc, argv, ISL_ARG_ALL);
320 ctx = isl_ctx_alloc_with_options(options_arg, options);
322 context = isl_basic_set_read_from_file(ctx, stdin, 0);
323 assert(context);
324 n = fscanf(stdin, "%d", &neg_one);
325 assert(n == 1);
326 assert(neg_one == -1);
327 bset = isl_basic_set_read_from_file(ctx, stdin,
328 isl_basic_set_dim(context, isl_dim_set));
330 while (fgets(s, sizeof(s), stdin)) {
331 if (strncasecmp(s, "Maximize", 8) == 0)
332 max = 1;
333 if (strncasecmp(s, "Rational", 8) == 0) {
334 rational = 1;
335 bset = isl_basic_set_set_rational(bset);
337 if (strncasecmp(s, "Urs_parms", 9) == 0)
338 urs_parms = 1;
339 if (strncasecmp(s, "Urs_unknowns", 12) == 0)
340 urs_unknowns = 1;
342 if (!urs_parms)
343 context = isl_basic_set_intersect(context,
344 isl_basic_set_positive_orthant(isl_basic_set_get_dim(context)));
345 context = to_parameter_domain(context);
346 if (!urs_unknowns)
347 bset = isl_basic_set_intersect(bset,
348 isl_basic_set_positive_orthant(isl_basic_set_get_dim(bset)));
350 if (options->verify) {
351 copy = isl_basic_set_copy(bset);
352 context_copy = isl_basic_set_copy(context);
355 if (max)
356 set = isl_basic_set_partial_lexmax(bset, context, &empty);
357 else
358 set = isl_basic_set_partial_lexmin(bset, context, &empty);
360 if (options->verify) {
361 assert(!rational);
362 check_solution(copy, context_copy, set, empty, max);
363 } else {
364 isl_set_print(set, stdout, 0, ISL_FORMAT_ISL);
365 fprintf(stdout, "\n");
366 fprintf(stdout, "no solution: ");
367 isl_set_print(empty, stdout, 0, ISL_FORMAT_ISL);
368 fprintf(stdout, "\n");
371 isl_set_free(set);
372 isl_set_free(empty);
373 isl_ctx_free(ctx);
375 return 0;