isl_val_n_abs_num_chunks: return isl_size
[isl.git] / isl_range.c
blob8cfac3866556fc04ab0aad512196eb2b0ff4d6cc
1 #include <isl_ctx_private.h>
2 #include <isl/val.h>
3 #include <isl_constraint_private.h>
4 #include <isl/set.h>
5 #include <isl_polynomial_private.h>
6 #include <isl_morph.h>
7 #include <isl_range.h>
9 struct range_data {
10 struct isl_bound *bound;
11 int *signs;
12 int sign;
13 int test_monotonicity;
14 int monotonicity;
15 int tight;
16 isl_qpolynomial *poly;
17 isl_pw_qpolynomial_fold *pwf;
18 isl_pw_qpolynomial_fold *pwf_tight;
21 static isl_stat propagate_on_domain(__isl_take isl_basic_set *bset,
22 __isl_take isl_qpolynomial *poly, struct range_data *data);
24 /* Check whether the polynomial "poly" has sign "sign" over "bset",
25 * i.e., if sign == 1, check that the lower bound on the polynomial
26 * is non-negative and if sign == -1, check that the upper bound on
27 * the polynomial is non-positive.
29 static isl_bool has_sign(__isl_keep isl_basic_set *bset,
30 __isl_keep isl_qpolynomial *poly, int sign, int *signs)
32 struct range_data data_m;
33 isl_size nparam;
34 isl_space *space;
35 isl_val *opt;
36 isl_bool r;
37 enum isl_fold type;
39 nparam = isl_basic_set_dim(bset, isl_dim_param);
40 if (nparam < 0)
41 return isl_bool_error;
43 bset = isl_basic_set_copy(bset);
44 poly = isl_qpolynomial_copy(poly);
46 bset = isl_basic_set_move_dims(bset, isl_dim_set, 0,
47 isl_dim_param, 0, nparam);
48 poly = isl_qpolynomial_move_dims(poly, isl_dim_in, 0,
49 isl_dim_param, 0, nparam);
51 space = isl_qpolynomial_get_space(poly);
52 space = isl_space_params(space);
53 space = isl_space_from_domain(space);
54 space = isl_space_add_dims(space, isl_dim_out, 1);
56 data_m.test_monotonicity = 0;
57 data_m.signs = signs;
58 data_m.sign = -sign;
59 type = data_m.sign < 0 ? isl_fold_min : isl_fold_max;
60 data_m.pwf = isl_pw_qpolynomial_fold_zero(space, type);
61 data_m.tight = 0;
62 data_m.pwf_tight = NULL;
64 if (propagate_on_domain(bset, poly, &data_m) < 0)
65 goto error;
67 if (sign > 0)
68 opt = isl_pw_qpolynomial_fold_min(data_m.pwf);
69 else
70 opt = isl_pw_qpolynomial_fold_max(data_m.pwf);
72 if (!opt)
73 r = isl_bool_error;
74 else if (isl_val_is_nan(opt) ||
75 isl_val_is_infty(opt) ||
76 isl_val_is_neginfty(opt))
77 r = isl_bool_false;
78 else
79 r = sign * isl_val_sgn(opt) >= 0;
81 isl_val_free(opt);
83 return r;
84 error:
85 isl_pw_qpolynomial_fold_free(data_m.pwf);
86 return isl_bool_error;
89 /* Return 1 if poly is monotonically increasing in the last set variable,
90 * -1 if poly is monotonically decreasing in the last set variable,
91 * 0 if no conclusion,
92 * -2 on error.
94 * We simply check the sign of p(x+1)-p(x)
96 static int monotonicity(__isl_keep isl_basic_set *bset,
97 __isl_keep isl_qpolynomial *poly, struct range_data *data)
99 isl_ctx *ctx;
100 isl_space *space;
101 isl_qpolynomial *sub = NULL;
102 isl_qpolynomial *diff = NULL;
103 int result = 0;
104 isl_bool s;
105 isl_size nvar;
107 nvar = isl_basic_set_dim(bset, isl_dim_set);
108 if (nvar < 0)
109 return -2;
111 ctx = isl_qpolynomial_get_ctx(poly);
112 space = isl_qpolynomial_get_domain_space(poly);
114 sub = isl_qpolynomial_var_on_domain(isl_space_copy(space),
115 isl_dim_set, nvar - 1);
116 sub = isl_qpolynomial_add(sub,
117 isl_qpolynomial_rat_cst_on_domain(space, ctx->one, ctx->one));
119 diff = isl_qpolynomial_substitute(isl_qpolynomial_copy(poly),
120 isl_dim_in, nvar - 1, 1, &sub);
121 diff = isl_qpolynomial_sub(diff, isl_qpolynomial_copy(poly));
123 s = has_sign(bset, diff, 1, data->signs);
124 if (s < 0)
125 goto error;
126 if (s)
127 result = 1;
128 else {
129 s = has_sign(bset, diff, -1, data->signs);
130 if (s < 0)
131 goto error;
132 if (s)
133 result = -1;
136 isl_qpolynomial_free(diff);
137 isl_qpolynomial_free(sub);
139 return result;
140 error:
141 isl_qpolynomial_free(diff);
142 isl_qpolynomial_free(sub);
143 return -2;
146 /* Return a positive ("sign" > 0) or negative ("sign" < 0) infinite polynomial
147 * with domain space "space".
149 static __isl_give isl_qpolynomial *signed_infty(__isl_take isl_space *space,
150 int sign)
152 if (sign > 0)
153 return isl_qpolynomial_infty_on_domain(space);
154 else
155 return isl_qpolynomial_neginfty_on_domain(space);
158 static __isl_give isl_qpolynomial *bound2poly(__isl_take isl_constraint *bound,
159 __isl_take isl_space *space, unsigned pos, int sign)
161 if (!bound)
162 return signed_infty(space, sign);
163 isl_space_free(space);
164 return isl_qpolynomial_from_constraint(bound, isl_dim_set, pos);
167 static int bound_is_integer(__isl_keep isl_constraint *bound, unsigned pos)
169 isl_int c;
170 int is_int;
172 if (!bound)
173 return 1;
175 isl_int_init(c);
176 isl_constraint_get_coefficient(bound, isl_dim_set, pos, &c);
177 is_int = isl_int_is_one(c) || isl_int_is_negone(c);
178 isl_int_clear(c);
180 return is_int;
183 struct isl_fixed_sign_data {
184 int *signs;
185 int sign;
186 isl_qpolynomial *poly;
189 /* Add term "term" to data->poly if it has sign data->sign.
190 * The sign is determined based on the signs of the parameters
191 * and variables in data->signs. The integer divisions, if
192 * any, are assumed to be non-negative.
194 static isl_stat collect_fixed_sign_terms(__isl_take isl_term *term, void *user)
196 struct isl_fixed_sign_data *data = (struct isl_fixed_sign_data *)user;
197 isl_int n;
198 int i;
199 int sign;
200 isl_size nparam;
201 isl_size nvar;
203 nparam = isl_term_dim(term, isl_dim_param);
204 nvar = isl_term_dim(term, isl_dim_set);
205 if (nparam < 0 || nvar < 0)
206 return isl_stat_error;
208 isl_int_init(n);
209 isl_term_get_num(term, &n);
210 sign = isl_int_sgn(n);
211 isl_int_clear(n);
213 for (i = 0; i < nparam; ++i) {
214 if (data->signs[i] > 0)
215 continue;
216 if (isl_term_get_exp(term, isl_dim_param, i) % 2)
217 sign = -sign;
219 for (i = 0; i < nvar; ++i) {
220 if (data->signs[nparam + i] > 0)
221 continue;
222 if (isl_term_get_exp(term, isl_dim_set, i) % 2)
223 sign = -sign;
226 if (sign == data->sign) {
227 isl_qpolynomial *t = isl_qpolynomial_from_term(term);
229 data->poly = isl_qpolynomial_add(data->poly, t);
230 } else
231 isl_term_free(term);
233 return isl_stat_ok;
236 /* Construct and return a polynomial that consists of the terms
237 * in "poly" that have sign "sign". The integer divisions, if
238 * any, are assumed to be non-negative.
240 __isl_give isl_qpolynomial *isl_qpolynomial_terms_of_sign(
241 __isl_keep isl_qpolynomial *poly, int *signs, int sign)
243 isl_space *space;
244 struct isl_fixed_sign_data data = { signs, sign };
246 space = isl_qpolynomial_get_domain_space(poly);
247 data.poly = isl_qpolynomial_zero_on_domain(space);
249 if (isl_qpolynomial_foreach_term(poly, collect_fixed_sign_terms, &data) < 0)
250 goto error;
252 return data.poly;
253 error:
254 isl_qpolynomial_free(data.poly);
255 return NULL;
258 /* Helper function to add a guarded polynomial to either pwf_tight or pwf,
259 * depending on whether the result has been determined to be tight.
261 static isl_stat add_guarded_poly(__isl_take isl_basic_set *bset,
262 __isl_take isl_qpolynomial *poly, struct range_data *data)
264 enum isl_fold type = data->sign < 0 ? isl_fold_min : isl_fold_max;
265 isl_set *set;
266 isl_qpolynomial_fold *fold;
267 isl_pw_qpolynomial_fold *pwf;
269 bset = isl_basic_set_params(bset);
270 poly = isl_qpolynomial_project_domain_on_params(poly);
272 fold = isl_qpolynomial_fold_alloc(type, poly);
273 set = isl_set_from_basic_set(bset);
274 pwf = isl_pw_qpolynomial_fold_alloc(type, set, fold);
275 if (data->tight)
276 data->pwf_tight = isl_pw_qpolynomial_fold_fold(
277 data->pwf_tight, pwf);
278 else
279 data->pwf = isl_pw_qpolynomial_fold_fold(data->pwf, pwf);
281 return isl_stat_ok;
284 /* Plug in "sub" for the variable at position "pos" in "poly".
286 * If "sub" is an infinite polynomial and if the variable actually
287 * appears in "poly", then calling isl_qpolynomial_substitute
288 * to perform the substitution may result in a NaN result.
289 * In such cases, return positive or negative infinity instead,
290 * depending on whether an upper bound or a lower bound is being computed,
291 * and mark the result as not being tight.
293 static __isl_give isl_qpolynomial *plug_in_at_pos(
294 __isl_take isl_qpolynomial *poly, int pos,
295 __isl_take isl_qpolynomial *sub, struct range_data *data)
297 isl_bool involves, infty;
299 involves = isl_qpolynomial_involves_dims(poly, isl_dim_in, pos, 1);
300 if (involves < 0)
301 goto error;
302 if (!involves) {
303 isl_qpolynomial_free(sub);
304 return poly;
307 infty = isl_qpolynomial_is_infty(sub);
308 if (infty >= 0 && !infty)
309 infty = isl_qpolynomial_is_neginfty(sub);
310 if (infty < 0)
311 goto error;
312 if (infty) {
313 isl_space *space = isl_qpolynomial_get_domain_space(poly);
314 data->tight = 0;
315 isl_qpolynomial_free(poly);
316 isl_qpolynomial_free(sub);
317 return signed_infty(space, data->sign);
320 poly = isl_qpolynomial_substitute(poly, isl_dim_in, pos, 1, &sub);
321 isl_qpolynomial_free(sub);
323 return poly;
324 error:
325 isl_qpolynomial_free(poly);
326 isl_qpolynomial_free(sub);
327 return NULL;
330 /* Given a lower and upper bound on the final variable and constraints
331 * on the remaining variables where these bounds are active,
332 * eliminate the variable from data->poly based on these bounds.
333 * If the polynomial has been determined to be monotonic
334 * in the variable, then simply plug in the appropriate bound.
335 * If the current polynomial is tight and if this bound is integer,
336 * then the result is still tight. In all other cases, the results
337 * may not be tight.
338 * Otherwise, plug in the largest bound (in absolute value) in
339 * the positive terms (if an upper bound is wanted) or the negative terms
340 * (if a lower bounded is wanted) and the other bound in the other terms.
342 * If all variables have been eliminated, then record the result.
343 * Ohterwise, recurse on the next variable.
345 static isl_stat propagate_on_bound_pair(__isl_take isl_constraint *lower,
346 __isl_take isl_constraint *upper, __isl_take isl_basic_set *bset,
347 void *user)
349 struct range_data *data = (struct range_data *)user;
350 int save_tight = data->tight;
351 isl_qpolynomial *poly;
352 isl_stat r;
353 isl_size nvar, nparam;
355 nvar = isl_basic_set_dim(bset, isl_dim_set);
356 nparam = isl_basic_set_dim(bset, isl_dim_param);
357 if (nvar < 0 || nparam < 0)
358 goto error;
360 if (data->monotonicity) {
361 isl_qpolynomial *sub;
362 isl_space *space = isl_qpolynomial_get_domain_space(data->poly);
363 if (data->monotonicity * data->sign > 0) {
364 if (data->tight)
365 data->tight = bound_is_integer(upper, nvar);
366 sub = bound2poly(upper, space, nvar, 1);
367 isl_constraint_free(lower);
368 } else {
369 if (data->tight)
370 data->tight = bound_is_integer(lower, nvar);
371 sub = bound2poly(lower, space, nvar, -1);
372 isl_constraint_free(upper);
374 poly = isl_qpolynomial_copy(data->poly);
375 poly = plug_in_at_pos(poly, nvar, sub, data);
376 poly = isl_qpolynomial_drop_dims(poly, isl_dim_in, nvar, 1);
377 } else {
378 isl_qpolynomial *l, *u;
379 isl_qpolynomial *pos, *neg;
380 isl_space *space = isl_qpolynomial_get_domain_space(data->poly);
381 int sign = data->sign * data->signs[nparam + nvar];
383 data->tight = 0;
385 u = bound2poly(upper, isl_space_copy(space), nvar, 1);
386 l = bound2poly(lower, space, nvar, -1);
388 pos = isl_qpolynomial_terms_of_sign(data->poly, data->signs, sign);
389 neg = isl_qpolynomial_terms_of_sign(data->poly, data->signs, -sign);
391 pos = plug_in_at_pos(pos, nvar, u, data);
392 neg = plug_in_at_pos(neg, nvar, l, data);
394 poly = isl_qpolynomial_add(pos, neg);
395 poly = isl_qpolynomial_drop_dims(poly, isl_dim_in, nvar, 1);
398 if (nvar == 0)
399 r = add_guarded_poly(bset, poly, data);
400 else
401 r = propagate_on_domain(bset, poly, data);
403 data->tight = save_tight;
405 return r;
406 error:
407 isl_constraint_free(lower);
408 isl_constraint_free(upper);
409 isl_basic_set_free(bset);
410 return isl_stat_error;
413 /* Recursively perform range propagation on the polynomial "poly"
414 * defined over the basic set "bset" and collect the results in "data".
416 static isl_stat propagate_on_domain(__isl_take isl_basic_set *bset,
417 __isl_take isl_qpolynomial *poly, struct range_data *data)
419 isl_bool is_cst;
420 isl_ctx *ctx;
421 isl_qpolynomial *save_poly = data->poly;
422 int save_monotonicity = data->monotonicity;
423 isl_size d;
425 d = isl_basic_set_dim(bset, isl_dim_set);
426 is_cst = isl_qpolynomial_is_cst(poly, NULL, NULL);
427 if (d < 0 || is_cst < 0)
428 goto error;
430 ctx = isl_basic_set_get_ctx(bset);
431 isl_assert(ctx, d >= 1, goto error);
433 if (is_cst) {
434 bset = isl_basic_set_project_out(bset, isl_dim_set, 0, d);
435 poly = isl_qpolynomial_drop_dims(poly, isl_dim_in, 0, d);
436 return add_guarded_poly(bset, poly, data);
439 if (data->test_monotonicity)
440 data->monotonicity = monotonicity(bset, poly, data);
441 else
442 data->monotonicity = 0;
443 if (data->monotonicity < -1)
444 goto error;
446 data->poly = poly;
447 if (isl_basic_set_foreach_bound_pair(bset, isl_dim_set, d - 1,
448 &propagate_on_bound_pair, data) < 0)
449 goto error;
451 isl_basic_set_free(bset);
452 isl_qpolynomial_free(poly);
453 data->monotonicity = save_monotonicity;
454 data->poly = save_poly;
456 return isl_stat_ok;
457 error:
458 isl_basic_set_free(bset);
459 isl_qpolynomial_free(poly);
460 data->monotonicity = save_monotonicity;
461 data->poly = save_poly;
462 return isl_stat_error;
465 static isl_stat basic_guarded_poly_bound(__isl_take isl_basic_set *bset,
466 void *user)
468 struct range_data *data = (struct range_data *)user;
469 isl_ctx *ctx;
470 isl_size nparam = isl_basic_set_dim(bset, isl_dim_param);
471 isl_size dim = isl_basic_set_dim(bset, isl_dim_set);
472 isl_size total = isl_basic_set_dim(bset, isl_dim_all);
473 isl_stat r;
475 data->signs = NULL;
477 if (nparam < 0 || dim < 0 || total < 0)
478 goto error;
480 ctx = isl_basic_set_get_ctx(bset);
481 data->signs = isl_alloc_array(ctx, int, total);
483 if (isl_basic_set_dims_get_sign(bset, isl_dim_set, 0, dim,
484 data->signs + nparam) < 0)
485 goto error;
486 if (isl_basic_set_dims_get_sign(bset, isl_dim_param, 0, nparam,
487 data->signs) < 0)
488 goto error;
490 r = propagate_on_domain(bset, isl_qpolynomial_copy(data->poly), data);
492 free(data->signs);
494 return r;
495 error:
496 free(data->signs);
497 isl_basic_set_free(bset);
498 return isl_stat_error;
501 static isl_stat qpolynomial_bound_on_domain_range(
502 __isl_take isl_basic_set *bset, __isl_take isl_qpolynomial *poly,
503 struct range_data *data)
505 isl_size nparam = isl_basic_set_dim(bset, isl_dim_param);
506 isl_size nvar = isl_basic_set_dim(bset, isl_dim_set);
507 isl_set *set = NULL;
509 if (nparam < 0 || nvar < 0)
510 goto error;
512 if (nvar == 0)
513 return add_guarded_poly(bset, poly, data);
515 set = isl_set_from_basic_set(bset);
516 set = isl_set_split_dims(set, isl_dim_param, 0, nparam);
517 set = isl_set_split_dims(set, isl_dim_set, 0, nvar);
519 data->poly = poly;
521 data->test_monotonicity = 1;
522 if (isl_set_foreach_basic_set(set, &basic_guarded_poly_bound, data) < 0)
523 goto error;
525 isl_set_free(set);
526 isl_qpolynomial_free(poly);
528 return isl_stat_ok;
529 error:
530 isl_set_free(set);
531 isl_qpolynomial_free(poly);
532 return isl_stat_error;
535 isl_stat isl_qpolynomial_bound_on_domain_range(__isl_take isl_basic_set *bset,
536 __isl_take isl_qpolynomial *poly, struct isl_bound *bound)
538 struct range_data data;
539 isl_stat r;
541 data.pwf = bound->pwf;
542 data.pwf_tight = bound->pwf_tight;
543 data.tight = bound->check_tight;
544 if (bound->type == isl_fold_min)
545 data.sign = -1;
546 else
547 data.sign = 1;
549 r = qpolynomial_bound_on_domain_range(bset, poly, &data);
551 bound->pwf = data.pwf;
552 bound->pwf_tight = data.pwf_tight;
554 return r;