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-rw-r--r--src/misc/espresso/pair.c675
1 files changed, 0 insertions, 675 deletions
diff --git a/src/misc/espresso/pair.c b/src/misc/espresso/pair.c
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--- a/src/misc/espresso/pair.c
+++ /dev/null
@@ -1,675 +0,0 @@
-/*
- * Revision Control Information
- *
- * $Source$
- * $Author$
- * $Revision$
- * $Date$
- *
- */
-#include "espresso.h"
-
-void set_pair(PLA)
-pPLA PLA;
-{
- set_pair1(PLA, TRUE);
-}
-
-void set_pair1(PLA, adjust_labels)
-pPLA PLA;
-bool adjust_labels;
-{
- int i, var, *paired, newvar;
- int old_num_vars, old_num_binary_vars, old_size, old_mv_start;
- int *new_part_size, new_num_vars, new_num_binary_vars, new_mv_start;
- ppair pair = PLA->pair;
- char scratch[1000], **oldlabel, *var1, *var1bar, *var2, *var2bar;
-
- if (adjust_labels)
- makeup_labels(PLA);
-
- /* Check the pair structure for valid entries and see which binary
- variables are left unpaired
- */
- paired = ALLOC(bool, cube.num_binary_vars);
- for(var = 0; var < cube.num_binary_vars; var++)
- paired[var] = FALSE;
- for(i = 0; i < pair->cnt; i++)
- if ((pair->var1[i] > 0 && pair->var1[i] <= cube.num_binary_vars) &&
- (pair->var2[i] > 0 && pair->var2[i] <= cube.num_binary_vars)) {
- paired[pair->var1[i]-1] = TRUE;
- paired[pair->var2[i]-1] = TRUE;
- } else
- fatal("can only pair binary-valued variables");
-
- PLA->F = delvar(pairvar(PLA->F, pair), paired);
- PLA->R = delvar(pairvar(PLA->R, pair), paired);
- PLA->D = delvar(pairvar(PLA->D, pair), paired);
-
- /* Now painfully adjust the cube size */
- old_size = cube.size;
- old_num_vars = cube.num_vars;
- old_num_binary_vars = cube.num_binary_vars;
- old_mv_start = cube.first_part[cube.num_binary_vars];
- /* Create the new cube.part_size vector and setup the cube structure */
- new_num_binary_vars = 0;
- for(var = 0; var < old_num_binary_vars; var++)
- new_num_binary_vars += (paired[var] == FALSE);
- new_num_vars = new_num_binary_vars + pair->cnt;
- new_num_vars += old_num_vars - old_num_binary_vars;
- new_part_size = ALLOC(int, new_num_vars);
- for(var = 0; var < pair->cnt; var++)
- new_part_size[new_num_binary_vars + var] = 4;
- for(var = 0; var < old_num_vars - old_num_binary_vars; var++)
- new_part_size[new_num_binary_vars + pair->cnt + var] =
- cube.part_size[old_num_binary_vars + var];
- setdown_cube();
- FREE(cube.part_size);
- cube.num_vars = new_num_vars;
- cube.num_binary_vars = new_num_binary_vars;
- cube.part_size = new_part_size;
- cube_setup();
-
- /* hack with the labels to get them correct */
- if (adjust_labels) {
- oldlabel = PLA->label;
- PLA->label = ALLOC(char *, cube.size);
- for(var = 0; var < pair->cnt; var++) {
- newvar = cube.num_binary_vars*2 + var*4;
- var1 = oldlabel[ (pair->var1[var]-1) * 2 + 1];
- var2 = oldlabel[ (pair->var2[var]-1) * 2 + 1];
- var1bar = oldlabel[ (pair->var1[var]-1) * 2];
- var2bar = oldlabel[ (pair->var2[var]-1) * 2];
- (void) sprintf(scratch, "%s+%s", var1bar, var2bar);
- PLA->label[newvar] = util_strsav(scratch);
- (void) sprintf(scratch, "%s+%s", var1bar, var2);
- PLA->label[newvar+1] = util_strsav(scratch);
- (void) sprintf(scratch, "%s+%s", var1, var2bar);
- PLA->label[newvar+2] = util_strsav(scratch);
- (void) sprintf(scratch, "%s+%s", var1, var2);
- PLA->label[newvar+3] = util_strsav(scratch);
- }
- /* Copy the old labels for the unpaired binary vars */
- i = 0;
- for(var = 0; var < old_num_binary_vars; var++) {
- if (paired[var] == FALSE) {
- PLA->label[2*i] = oldlabel[2*var];
- PLA->label[2*i+1] = oldlabel[2*var+1];
- oldlabel[2*var] = oldlabel[2*var+1] = (char *) NULL;
- i++;
- }
- }
- /* Copy the old labels for the remaining unpaired vars */
- new_mv_start = cube.num_binary_vars*2 + pair->cnt*4;
- for(i = old_mv_start; i < old_size; i++) {
- PLA->label[new_mv_start + i - old_mv_start] = oldlabel[i];
- oldlabel[i] = (char *) NULL;
- }
- /* free remaining entries in oldlabel */
- for(i = 0; i < old_size; i++)
- if (oldlabel[i] != (char *) NULL)
- FREE(oldlabel[i]);
- FREE(oldlabel);
- }
-
- /* the paired variables should not be sparse (cf. mv_reduce/raise_in)*/
- for(var = 0; var < pair->cnt; var++)
- cube.sparse[cube.num_binary_vars + var] = 0;
- FREE(paired);
-}
-
-pcover pairvar(A, pair)
-pcover A;
-ppair pair;
-{
- register pcube last, p;
- register int val, p1, p2, b1, b0;
- int insert_col, pairnum;
-
- insert_col = cube.first_part[cube.num_vars - 1];
-
- /* stretch the cover matrix to make room for the paired variables */
- A = sf_delcol(A, insert_col, -4*pair->cnt);
-
- /* compute the paired values */
- foreach_set(A, last, p) {
- for(pairnum = 0; pairnum < pair->cnt; pairnum++) {
- p1 = cube.first_part[pair->var1[pairnum] - 1];
- p2 = cube.first_part[pair->var2[pairnum] - 1];
- b1 = is_in_set(p, p2+1);
- b0 = is_in_set(p, p2);
- val = insert_col + pairnum * 4;
- if (/* a0 */ is_in_set(p, p1)) {
- if (b0)
- set_insert(p, val + 3);
- if (b1)
- set_insert(p, val + 2);
- }
- if (/* a1 */ is_in_set(p, p1+1)) {
- if (b0)
- set_insert(p, val + 1);
- if (b1)
- set_insert(p, val);
- }
- }
- }
- return A;
-}
-
-
-/* delvar -- delete variables from A, minimize the number of column shifts */
-pcover delvar(A, paired)
-pcover A;
-bool paired[];
-{
- bool run;
- int first_run, run_length, var, offset = 0;
-
- run = FALSE; run_length = 0;
- for(var = 0; var < cube.num_binary_vars; var++)
- if (paired[var])
- if (run)
- run_length += cube.part_size[var];
- else {
- run = TRUE;
- first_run = cube.first_part[var];
- run_length = cube.part_size[var];
- }
- else
- if (run) {
- A = sf_delcol(A, first_run-offset, run_length);
- run = FALSE;
- offset += run_length;
- }
- if (run)
- A = sf_delcol(A, first_run-offset, run_length);
- return A;
-}
-
-/*
- find_optimal_pairing -- find which binary variables should be paired
- to maximally reduce the number of terms
-
- This is essentially the technique outlined by T. Sasao in the
- Trans. on Comp., Oct 1984. We estimate the cost of pairing each
- pair individually using 1 of 4 strategies: (1) algebraic division
- of F by the pair (exactly T. Sasao technique); (2) strong division
- of F by the paired variables (using REDUCE/EXPAND/ IRREDUNDANT from
- espresso); (3) full minimization using espresso; (4) exact
- minimization. These are in order of both increasing accuracy and
- increasing difficulty (!)
-
- Once the n squared pairs have been evaluated, T. Sasao proposes a
- graph covering of nodes by disjoint edges. For now, I solve this
- problem exhaustively (complexity = (n-1)*(n-3)*...*3*1 for n
- variables when n is even). Note that solving this problem exactly
- is the same as evaluating the cost function for all possible
- pairings.
-
- n pairs
-
- 1, 2 1
- 3, 4 3
- 5, 6 15
- 7, 8 105
- 9,10 945
- 11,12 10,395
- 13,14 135,135
- 15,16 2,027,025
- 17,18 34,459,425
- 19,20 654,729,075
-*/
-void find_optimal_pairing(PLA, strategy)
-pPLA PLA;
-int strategy;
-{
- int i, j, **cost_array;
-
- cost_array = find_pairing_cost(PLA, strategy);
-
- if (summary) {
- printf(" ");
- for(i = 0; i < cube.num_binary_vars; i++)
- printf("%3d ", i+1);
- printf("\n");
- for(i = 0; i < cube.num_binary_vars; i++) {
- printf("%3d ", i+1);
- for(j = 0; j < cube.num_binary_vars; j++)
- printf("%3d ", cost_array[i][j]);
- printf("\n");
- }
- }
-
- if (cube.num_binary_vars <= 14) {
- PLA->pair = pair_best_cost(cost_array);
- } else {
- (void) greedy_best_cost(cost_array, &(PLA->pair));
- }
- printf("# ");
- print_pair(PLA->pair);
-
- for(i = 0; i < cube.num_binary_vars; i++)
- FREE(cost_array[i]);
- FREE(cost_array);
-
- set_pair(PLA);
- EXEC_S(PLA->F=espresso(PLA->F,PLA->D,PLA->R),"ESPRESSO ",PLA->F);
-}
-
-int **find_pairing_cost(PLA, strategy)
-pPLA PLA;
-int strategy;
-{
- int var1, var2, **cost_array;
- int i, j, xnum_binary_vars, xnum_vars, *xpart_size, cost;
- pcover T, Fsave, Dsave, Rsave;
- pset mask;
-/* char *s;*/
-
- /* data is returned in the cost array */
- cost_array = ALLOC(int *, cube.num_binary_vars);
- for(i = 0; i < cube.num_binary_vars; i++)
- cost_array[i] = ALLOC(int, cube.num_binary_vars);
- for(i = 0; i < cube.num_binary_vars; i++)
- for(j = 0; j < cube.num_binary_vars; j++)
- cost_array[i][j] = 0;
-
- /* Setup the pair structure for pairing variables together */
- PLA->pair = pair_new(1);
- PLA->pair->cnt = 1;
-
- for(var1 = 0; var1 < cube.num_binary_vars-1; var1++) {
- for(var2 = var1+1; var2 < cube.num_binary_vars; var2++) {
- /* if anything but simple strategy, perform setup */
- if (strategy > 0) {
- /* save the original covers */
- Fsave = sf_save(PLA->F);
- Dsave = sf_save(PLA->D);
- Rsave = sf_save(PLA->R);
-
- /* save the original cube structure */
- xnum_binary_vars = cube.num_binary_vars;
- xnum_vars = cube.num_vars;
- xpart_size = ALLOC(int, cube.num_vars);
- for(i = 0; i < cube.num_vars; i++)
- xpart_size[i] = cube.part_size[i];
-
- /* pair two variables together */
- PLA->pair->var1[0] = var1 + 1;
- PLA->pair->var2[0] = var2 + 1;
- set_pair1(PLA, /* adjust_labels */ FALSE);
- }
-
-
- /* decide how to best estimate worth of this pairing */
- switch(strategy) {
- case 3:
- /*s = "exact minimization";*/
- PLA->F = minimize_exact(PLA->F, PLA->D, PLA->R, 1);
- cost = Fsave->count - PLA->F->count;
- break;
- case 2:
- /*s = "full minimization";*/
- PLA->F = espresso(PLA->F, PLA->D, PLA->R);
- cost = Fsave->count - PLA->F->count;
- break;
- case 1:
- /*s = "strong division";*/
- PLA->F = reduce(PLA->F, PLA->D);
- PLA->F = expand(PLA->F, PLA->R, FALSE);
- PLA->F = irredundant(PLA->F, PLA->D);
- cost = Fsave->count - PLA->F->count;
- break;
- case 0:
- /*s = "weak division";*/
- mask = new_cube();
- set_or(mask, cube.var_mask[var1], cube.var_mask[var2]);
- T = dist_merge(sf_save(PLA->F), mask);
- cost = PLA->F->count - T->count;
- sf_free(T);
- set_free(mask);
- }
-
- cost_array[var1][var2] = cost;
-
- if (strategy > 0) {
- /* restore the original cube structure -- free the new ones */
- setdown_cube();
- FREE(cube.part_size);
- cube.num_binary_vars = xnum_binary_vars;
- cube.num_vars = xnum_vars;
- cube.part_size = xpart_size;
- cube_setup();
-
- /* restore the original cover(s) -- free the new ones */
- sf_free(PLA->F);
- sf_free(PLA->D);
- sf_free(PLA->R);
- PLA->F = Fsave;
- PLA->D = Dsave;
- PLA->R = Rsave;
- }
- }
- }
-
- pair_free(PLA->pair);
- PLA->pair = NULL;
- return cost_array;
-}
-
-static int best_cost;
-static int **cost_array;
-static ppair best_pair;
-static pset best_phase;
-static pPLA global_PLA;
-static pcover best_F, best_D, best_R;
-static int pair_minim_strategy;
-
-
-print_pair(pair)
-ppair pair;
-{
- int i;
-
- printf("pair is");
- for(i = 0; i < pair->cnt; i++)
- printf (" (%d %d)", pair->var1[i], pair->var2[i]);
- printf("\n");
-}
-
-
-int greedy_best_cost(cost_array_local, pair_p)
-int **cost_array_local;
-ppair *pair_p;
-{
- int i, j, besti, bestj, maxcost, total_cost;
- pset cand;
- ppair pair;
-
- pair = pair_new(cube.num_binary_vars);
- cand = set_full(cube.num_binary_vars);
- total_cost = 0;
-
- while (set_ord(cand) >= 2) {
- maxcost = -1;
- for(i = 0; i < cube.num_binary_vars; i++) {
- if (is_in_set(cand, i)) {
- for(j = i+1; j < cube.num_binary_vars; j++) {
- if (is_in_set(cand, j)) {
- if (cost_array_local[i][j] > maxcost) {
- maxcost = cost_array_local[i][j];
- besti = i;
- bestj = j;
- }
- }
- }
- }
- }
- pair->var1[pair->cnt] = besti+1;
- pair->var2[pair->cnt] = bestj+1;
- pair->cnt++;
- set_remove(cand, besti);
- set_remove(cand, bestj);
- total_cost += maxcost;
- }
- set_free(cand);
- *pair_p = pair;
- return total_cost;
-}
-
-
-ppair pair_best_cost(cost_array_local)
-int **cost_array_local;
-{
- ppair pair;
- pset candidate;
-
- best_cost = -1;
- best_pair = NULL;
- cost_array = cost_array_local;
-
- pair = pair_new(cube.num_binary_vars);
- candidate = set_full(cube.num_binary_vars);
- generate_all_pairs(pair, cube.num_binary_vars, candidate, find_best_cost);
- pair_free(pair);
- set_free(candidate);
- return best_pair;
-}
-
-
-int find_best_cost(pair)
-register ppair pair;
-{
- register int i, cost;
-
- cost = 0;
- for(i = 0; i < pair->cnt; i++)
- cost += cost_array[pair->var1[i]-1][pair->var2[i]-1];
- if (cost > best_cost) {
- best_cost = cost;
- best_pair = pair_save(pair, pair->cnt);
- }
- if ((debug & MINCOV) && trace) {
- printf("cost is %d ", cost);
- print_pair(pair);
- }
-}
-
-/*
- pair_all: brute-force approach to try all possible pairings
-
- pair_strategy is:
- 2) for espresso
- 3) for minimize_exact
- 4) for phase assignment
-*/
-
-pair_all(PLA, pair_strategy)
-pPLA PLA;
-int pair_strategy;
-{
- ppair pair;
- pset candidate;
-
- global_PLA = PLA;
- pair_minim_strategy = pair_strategy;
- best_cost = PLA->F->count + 1;
- best_pair = NULL;
- best_phase = NULL;
- best_F = best_D = best_R = NULL;
- pair = pair_new(cube.num_binary_vars);
- candidate = set_fill(set_new(cube.num_binary_vars), cube.num_binary_vars);
-
- generate_all_pairs(pair, cube.num_binary_vars, candidate, minimize_pair);
-
- pair_free(pair);
- set_free(candidate);
-
- PLA->pair = best_pair;
- PLA->phase = best_phase;
-/* not really necessary
- if (phase != NULL)
- (void) set_phase(PLA->phase);
-*/
- set_pair(PLA);
- printf("# ");
- print_pair(PLA->pair);
-
- sf_free(PLA->F);
- sf_free(PLA->D);
- sf_free(PLA->R);
- PLA->F = best_F;
- PLA->D = best_D;
- PLA->R = best_R;
-}
-
-
-/*
- * minimize_pair -- called as each pair is generated
- */
-int minimize_pair(pair)
-ppair pair;
-{
- pcover Fsave, Dsave, Rsave;
- int i, xnum_binary_vars, xnum_vars, *xpart_size;
-
- /* save the original covers */
- Fsave = sf_save(global_PLA->F);
- Dsave = sf_save(global_PLA->D);
- Rsave = sf_save(global_PLA->R);
-
- /* save the original cube structure */
- xnum_binary_vars = cube.num_binary_vars;
- xnum_vars = cube.num_vars;
- xpart_size = ALLOC(int, cube.num_vars);
- for(i = 0; i < cube.num_vars; i++)
- xpart_size[i] = cube.part_size[i];
-
- /* setup the paired variables */
- global_PLA->pair = pair;
- set_pair1(global_PLA, /* adjust_labels */ FALSE);
-
- /* call the minimizer */
- if (summary)
- print_pair(pair);
- switch(pair_minim_strategy) {
- case 2:
- EXEC_S(phase_assignment(global_PLA,0), "OPO ", global_PLA->F);
- if (summary)
- printf("# phase is %s\n", pc1(global_PLA->phase));
- break;
- case 1:
- EXEC_S(global_PLA->F = minimize_exact(global_PLA->F, global_PLA->D,
- global_PLA->R, 1), "EXACT ", global_PLA->F);
- break;
- case 0:
- EXEC_S(global_PLA->F = espresso(global_PLA->F, global_PLA->D,
- global_PLA->R), "ESPRESSO ", global_PLA->F);
- break;
- default:
- break;
- }
-
- /* see if we have a new best solution */
- if (global_PLA->F->count < best_cost) {
- best_cost = global_PLA->F->count;
- best_pair = pair_save(pair, pair->cnt);
- best_phase = global_PLA->phase!=NULL?set_save(global_PLA->phase):NULL;
- if (best_F != NULL) sf_free(best_F);
- if (best_D != NULL) sf_free(best_D);
- if (best_R != NULL) sf_free(best_R);
- best_F = sf_save(global_PLA->F);
- best_D = sf_save(global_PLA->D);
- best_R = sf_save(global_PLA->R);
- }
-
- /* restore the original cube structure -- free the new ones */
- setdown_cube();
- FREE(cube.part_size);
- cube.num_binary_vars = xnum_binary_vars;
- cube.num_vars = xnum_vars;
- cube.part_size = xpart_size;
- cube_setup();
-
- /* restore the original cover(s) -- free the new ones */
- sf_free(global_PLA->F);
- sf_free(global_PLA->D);
- sf_free(global_PLA->R);
- global_PLA->F = Fsave;
- global_PLA->D = Dsave;
- global_PLA->R = Rsave;
- global_PLA->pair = NULL;
- global_PLA->phase = NULL;
-}
-
-generate_all_pairs(pair, n, candidate, action)
-ppair pair;
-int n;
-pset candidate;
-int (*action)();
-{
- int i, j;
- pset recur_candidate;
- ppair recur_pair;
-
- if (set_ord(candidate) < 2) {
- (*action)(pair);
- return;
- }
-
- recur_pair = pair_save(pair, n);
- recur_candidate = set_save(candidate);
-
- /* Find first variable still in the candidate set */
- for(i = 0; i < n; i++)
- if (is_in_set(candidate, i))
- break;
-
- /* Try all pairs of i with other variables */
- for(j = i+1; j < n; j++)
- if (is_in_set(candidate, j)) {
- /* pair (i j) -- remove from candidate set for future pairings */
- set_remove(recur_candidate, i);
- set_remove(recur_candidate, j);
-
- /* add to the pair array */
- recur_pair->var1[recur_pair->cnt] = i+1;
- recur_pair->var2[recur_pair->cnt] = j+1;
- recur_pair->cnt++;
-
- /* recur looking for the end ... */
- generate_all_pairs(recur_pair, n, recur_candidate, action);
-
- /* now break this pair, and restore candidate set */
- recur_pair->cnt--;
- set_insert(recur_candidate, i);
- set_insert(recur_candidate, j);
- }
-
- /* if odd, generate all pairs which do NOT include i */
- if ((set_ord(candidate) % 2) == 1) {
- set_remove(recur_candidate, i);
- generate_all_pairs(recur_pair, n, recur_candidate, action);
- }
-
- pair_free(recur_pair);
- set_free(recur_candidate);
-}
-
-ppair pair_new(n)
-register int n;
-{
- register ppair pair1;
-
- pair1 = ALLOC(pair_t, 1);
- pair1->cnt = 0;
- pair1->var1 = ALLOC(int, n);
- pair1->var2 = ALLOC(int, n);
- return pair1;
-}
-
-
-ppair pair_save(pair, n)
-register ppair pair;
-register int n;
-{
- register int k;
- register ppair pair1;
-
- pair1 = pair_new(n);
- pair1->cnt = pair->cnt;
- for(k = 0; k < pair->cnt; k++) {
- pair1->var1[k] = pair->var1[k];
- pair1->var2[k] = pair->var2[k];
- }
- return pair1;
-}
-
-
-int pair_free(pair)
-register ppair pair;
-{
- FREE(pair->var1);
- FREE(pair->var2);
- FREE(pair);
-}