enumerate-balanced-ideals/thickenings.c

775 lines
23 KiB
C

#include <stdio.h>
#include <limits.h>
#include <stdlib.h>
#include <malloc.h>
#include <memory.h>
#include "thickenings.h"
#include "weyl.h"
#include "queue.h"
char *alphabetize(int *word, int len, const char *alphabet, char *buffer)
{
if(len == 0) {
buffer[0] = '1';
buffer[1] = 0;
return buffer;
}
int i = 0;
for(i = 0; i < len; i++)
buffer[i] = alphabet[word[i]];
buffer[i] = 0;
return buffer;
}
void print_thickening(int rank, int order, const signed char *thickening, int upto_level, const char *alphabet, FILE *f)
{
for(int i = 0; i < order; i++) {
if(thickening[i] == HEAD_MARKER)
fprintf(f, "\e[41;37mx\e[0m");
else if(thickening[i] < - upto_level || thickening[i] > upto_level)
fprintf(f, " ");
else if(thickening[i] < 0 && thickening[i] > -10)
fprintf(f, "\e[47;30m%d\e[0m", -thickening[i]);
else if(thickening[i] <= -10)
fprintf(f, "\e[47;30m+\e[0m");
else if(thickening[i] > 0 && thickening[i] < 10)
fprintf(f, "\e[40;37m%d\e[0m", thickening[i]);
else if(thickening[i] >= 10)
fprintf(f, "\e[40;37m+\e[0m");
else
fprintf(f, " ");
}
fprintf(f, "\e[K");
}
static int compare_wordlength(const void *a, const void *b, void *gr)
{
int i = *((int*)a);
int j = *((int*)b);
node_t *graph = (node_t*)gr;
return graph[i].wordlength - graph[j].wordlength;
}
void prepare_graph(semisimple_type_t type, node_t *graph)
{
queue_t queue;
edgelist_t *edgelists_lower, *edgelists_higher;
int rank, order, hyperplanes;
edgelist_t *edge, *previous;
int edgelist_count, hyperplane_count;
int current;
weylgroup_element_t *graph_data;
node_t *graph_unsorted;
int *ordering, *reverse_ordering, *seen;
// initialize
rank = weyl_rank(type);
order = weyl_order(type);
hyperplanes = weyl_hyperplanes(type);
edgelists_higher = graph[0].bruhat_higher;
edgelists_lower = &graph[0].bruhat_higher[order*hyperplanes/2];
graph_data = weyl_alloc(type);
graph_unsorted = (node_t*)malloc(order*sizeof(node_t));
ordering = (int*)malloc(order*sizeof(int));
reverse_ordering = (int*)malloc(order*sizeof(int));
seen = (int*)malloc(order*sizeof(int));
for(int i = 0; i < order; i++) {
graph_unsorted[i].wordlength = INT_MAX;
graph[i].bruhat_lower = 0;
graph[i].bruhat_higher = 0;
graph[i].is_hyperplane_reflection = 0;
}
LOG("Generate Weyl group.\n");
weyl_generate(type, graph_data);
for(int i = 0; i < order; i++)
for(int j = 0; j < rank; j++) {
graph_unsorted[i].left = graph_data[i].left;
graph_unsorted[i].id = graph_data[i].id;
}
// find wordlengths
LOG("Determine word lengths.\n");
graph_unsorted[0].wordlength = 0;
queue_init(&queue);
queue_put(&queue, 0);
while((current = queue_get(&queue)) != -1) {
for(int i = 0; i < rank; i++) {
int neighbor = graph_unsorted[current].left[i];
if(graph_unsorted[neighbor].wordlength > graph_unsorted[current].wordlength + 1) {
graph_unsorted[neighbor].wordlength = graph_unsorted[current].wordlength + 1;
queue_put(&queue, neighbor);
}
}
}
LOG("Sort by wordlength.\n");
for(int i = 0; i < order; i++)
ordering[i] = i;
qsort_r(ordering, order, sizeof(int), compare_wordlength, graph_unsorted); // so ordering is a map new index -> old index
for(int i = 0; i < order; i++)
reverse_ordering[ordering[i]] = i; // reverse_ordering is a map old index -> new index
for(int i = 0; i < order; i++) {
// we have only set left, wordlength and id so far, so just copy these
graph[i].wordlength = graph_unsorted[ordering[i]].wordlength;
graph[i].id = graph_unsorted[ordering[i]].id;
for(int j = 0; j < rank; j++)
graph[i].left[j] = reverse_ordering[graph_unsorted[ordering[i]].left[j]]; // rewrite references
}
LOG("Find shortest words.\n");
for(int i = 0; i < order; i++)
memset(graph[i].word, 0, hyperplanes*sizeof(int));
queue_init(&queue);
queue_put(&queue, 0);
while((current = queue_get(&queue)) != -1) {
for(int i = 0; i < rank; i++) {
int neighbor = graph[current].left[i];
if(graph[neighbor].wordlength == graph[current].wordlength + 1 && graph[neighbor].word[0] == 0) {
memcpy(&graph[neighbor].word[1], &graph[current].word[0], graph[current].wordlength*sizeof(int));
graph[neighbor].word[0] = i;
queue_put(&queue, neighbor);
}
}
}
LOG("Generate right edges.\n");
for(int i = 0; i < order; i++) {
for(int j = 0; j < rank; j++) {
current = graph[0].left[j];
for(int k = graph[i].wordlength - 1; k >= 0; k--) { // apply group element from right to left
current = graph[current].left[graph[i].word[k]];
}
graph[i].right[j] = current;
}
}
LOG("Find opposites.\n");
node_t *longest = &graph[order-1];
for(int i = 0; i < order; i++) {
current = i;
for(int k = longest->wordlength - 1; k >= 0; k--)
current = graph[current].left[longest->word[k]];
graph[i].opposite = current;
}
LOG("Enumerate hyperplanes.\n");
hyperplane_count = 0;
for(int i = 0; i < order; i++) {
for(int j = 0; j < rank; j++) {
current = 0;
int *word1 = graph[i].word;
int word1len = graph[i].wordlength;
int *word2 = graph[graph[i].right[j]].word; // want to calculate word2 * word1^{-1}
int word2len = graph[graph[i].right[j]].wordlength;
for(int k = 0; k < word1len; k++) // apply inverse, i.e. go from left to right
current = graph[current].left[word1[k]];
for(int k = word2len - 1; k >= 0; k--) // now from right to left
current = graph[current].left[word2[k]];
if(graph[current].is_hyperplane_reflection == 0) {
graph[current].is_hyperplane_reflection = 1;
hyperplane_count++;
}
}
}
LOG("Determine Bruhat order.\n");
edgelist_count = 0;
for(int i = 0; i < order; i++) {
if(graph[i].is_hyperplane_reflection) {
for(int j = 0; j < order; j++) {
current = j;
for(int k = graph[i].wordlength - 1; k >= 0; k--) // apply hyperplane reflection
current = graph[current].left[graph[i].word[k]];
if(graph[j].wordlength < graph[current].wordlength) { // current has higher bruhat order than j
edgelists_lower[edgelist_count].to = j;
edgelists_lower[edgelist_count].next = graph[current].bruhat_lower;
graph[current].bruhat_lower = &edgelists_lower[edgelist_count];
edgelist_count++;
} else if(graph[j].wordlength > graph[current].wordlength) { // j has higher bruhat order than current; these are already included from the other side
} else {
ERROR(1, "Chambers of equal word lengths should not be folded on each other!\n");
}
}
}
}
LOG("Perform transitive reduction.\n");
for(int i = 0; i < order; i++) {
memset(seen, 0, order*sizeof(int));
queue_init(&queue);
for(int len = 1; len <= graph[i].wordlength; len++) {
// remove all edges originating from i of length len which connect to something already seen using shorter edges
edge = graph[i].bruhat_lower;
previous = (edgelist_t*)0;
while(edge) {
if(graph[i].wordlength - graph[edge->to].wordlength != len) {
previous = edge;
} else if(seen[edge->to]) {
if(previous)
previous->next = edge->next;
else
graph[i].bruhat_lower = edge->next;
} else {
previous = edge;
seen[edge->to] = 1;
queue_put(&queue, edge->to);
}
edge = edge->next;
}
// see which nodes we can reach using only edges up to length len, mark them as seen
while((current = queue_get(&queue)) != -1) {
edge = graph[current].bruhat_lower;
while(edge) {
if(!seen[edge->to]) {
seen[edge->to] = 1;
queue_put(&queue, edge->to);
}
edge = edge->next;
}
}
}
}
LOG("Revert Bruhat order.\n");
edgelist_count = 0;
for(int i = 0; i < order; i++) {
edge = graph[i].bruhat_lower;
while(edge) {
edgelists_higher[edgelist_count].to = i;
edgelists_higher[edgelist_count].next = graph[edge->to].bruhat_higher;
graph[edge->to].bruhat_higher = &edgelists_higher[edgelist_count];
edgelist_count++;
edge = edge->next;
}
}
LOG("Sort opposites.\n");
// additional sorting step to force opposite property (opposite of j is at n - j - 1)
for(int i = 0; i < order; i++)
reverse_ordering[i] = -1;
for(int i = 0, j = 0; i < order; i++) { // i = old index, j = new index
if(reverse_ordering[i] == -1) {
reverse_ordering[i] = j;
ordering[j] = i;
reverse_ordering[graph[i].opposite] = order - j - 1;
ordering[order - j - 1] = graph[i].opposite;
j++;
}
}
memcpy(graph_unsorted, graph, order*sizeof(node_t));
for(int i = 0; i < order; i++) {
graph[i] = graph_unsorted[ordering[i]];
graph[i].opposite = reverse_ordering[graph[i].opposite];
for(int j = 0; j < rank; j++) {
graph[i].left[j] = reverse_ordering[graph[i].left[j]];
graph[i].right[j] = reverse_ordering[graph[i].right[j]];
}
for(edge = graph[i].bruhat_lower; edge; edge = edge->next)
edge->to = reverse_ordering[edge->to];
for(edge = graph[i].bruhat_higher; edge; edge = edge->next)
edge->to = reverse_ordering[edge->to];
}
weyl_free(graph_data);
free(graph_unsorted);
free(ordering);
free(reverse_ordering);
free(seen);
}
static int edgelist_contains(edgelist_t *list, int x) {
while(list) {
if(list->to == x)
return 1;
list = list->next;
}
return 0;
}
static edgelist_t *edgelist_add(edgelist_t *list, int new, edgelist_t *storage, int *storage_index)
{
edgelist_t *new_link = &storage[*storage_index];
new_link->next = list;
new_link->to = new;
(*storage_index)++;
return new_link;
}
int prepare_simplified_graph(semisimple_type_t type, unsigned long left, unsigned long right, node_t *simplified_graph)
{
node_t *full_graph;
int edgelists_used;
int rank, order, hyperplanes;
int *reduced, *group, *simplified;
int *seen;
int current;
edgelist_t *edge, *previous;
queue_t queue;
int ncosets;
rank = weyl_rank(type);
order = weyl_order(type);
hyperplanes = weyl_hyperplanes(type);
for(int i = 0; i < rank; i++) {
int oppi = weyl_opposition(type, i);
if(left & BIT(i) && !(left & BIT(oppi)) ||
left & BIT(oppi) && !(left & BIT(i)))
return -1;
}
edgelist_t *edgelists_higher = &simplified_graph[0].bruhat_higher[0];
edgelist_t *edgelists_lower = &simplified_graph[0].bruhat_higher[order*hyperplanes/2];
// get full graph
full_graph = graph_alloc(type);
prepare_graph(type, full_graph);
LOG("Full graph generated.\n");
// initialize stuff
reduced = (int*)malloc(order*sizeof(int));
group = (int*)malloc(order*sizeof(int));
simplified = (int*)malloc(order*sizeof(int));
for(int i = 0; i < order; i++) {
group[i] = -1;
reduced[i] = i;
}
LOG("Group by double coset.\n");
// step 1: group
for(int i = 0; i < order; i++) {
if(group[i] != -1)
continue;
queue_init(&queue);
queue_put(&queue, i);
while((current = queue_get(&queue)) != -1) {
if(group[current] != -1)
continue;
group[current] = i;
for(int j = 0; j < rank; j++) {
if(left & (1 << j))
queue_put(&queue, full_graph[current].left[j]);
if(right & (1 << j))
queue_put(&queue, full_graph[current].right[j]);
}
}
}
LOG("Find minimal length elements.\n");
// step 2: find minimum
for(int i = 0; i < order; i++)
if(full_graph[i].wordlength < full_graph[reduced[group[i]]].wordlength)
reduced[group[i]] = i;
// step 3: assign minimum to all
for(int i = 0; i < order; i++)
reduced[i] = reduced[group[i]];
// step 4: assign indices to cosets
ncosets = 0;
for(int i = 0; i < order; i++)
if(reduced[i] == i)
simplified[i] = ncosets++;
for(int i = 0; i < order; i++)
simplified[i] = simplified[reduced[i]];
seen = (int*) malloc(ncosets*sizeof(int));
edgelists_used = 0;
LOG("Copy minimal elements.\n");
// step 5: set up nodes from minima
current = 0;
for(int i = 0; i < order; i++)
if(reduced[i] == i) { // is minimum
memcpy(simplified_graph[simplified[i]].word, full_graph[i].word, full_graph[i].wordlength*sizeof(int));
simplified_graph[simplified[i]].wordlength = full_graph[i].wordlength;
simplified_graph[simplified[i]].opposite = simplified[full_graph[i].opposite];
simplified_graph[simplified[i]].bruhat_lower = (edgelist_t*)0;
simplified_graph[simplified[i]].bruhat_higher = (edgelist_t*)0;
for(int j = 0; j < rank; j++) {
simplified_graph[simplified[i]].left[j] = simplified[full_graph[i].left[j]];
simplified_graph[simplified[i]].right[j] = simplified[full_graph[i].right[j]];
}
}
LOG("Find induced order.\n");
// step 6: find order relations
for(int i = 0; i < order; i++) {
edge = full_graph[i].bruhat_lower;
while(edge) {
int this = simplified[i];
int that = simplified[edge->to];
if(this != that) {
// found something
if(!edgelist_contains(simplified_graph[this].bruhat_lower, that))
simplified_graph[this].bruhat_lower = edgelist_add(simplified_graph[this].bruhat_lower, that, edgelists_lower, &edgelists_used);
ERROR(simplified_graph[this].wordlength <= simplified_graph[that].wordlength, "The order assumption is being violated!\n");
}
edge = edge->next;
}
}
LOG("Perform transitive reduction.\n");
// step 7: remove redundant edges
for(int i = 0; i < ncosets; i++) {
memset(seen, 0, ncosets*sizeof(int));
queue_init(&queue);
for(int len = 1; len <= simplified_graph[i].wordlength; len++) {
edge = simplified_graph[i].bruhat_lower;
previous = (edgelist_t*)0;
while(edge) {
// only look at edges of this length now
if(simplified_graph[i].wordlength - simplified_graph[edge->to].wordlength != len) {
// we only consider edges of length len in this pass
previous = edge;
} else if(seen[edge->to]) {
// this edge is redundant, remove it
if(previous)
previous->next = edge->next;
else
simplified_graph[i].bruhat_lower = edge->next;
} else {
// this edge was not redundant, add to seen
previous = edge;
seen[edge->to] = 1;
queue_put(&queue, edge->to);
}
edge = edge->next;
}
// calculate transitive closure of seen nodes
while((current = queue_get(&queue)) != -1) {
edge = simplified_graph[current].bruhat_lower;
while(edge) {
if(!seen[edge->to]) {
seen[edge->to] = 1;
queue_put(&queue, edge->to);
}
edge = edge->next;
}
}
}
}
LOG("Revert order.\n");
// step 8: revert order
edgelists_used = 0;
for(int i = 0; i < ncosets; i++) {
edge = simplified_graph[i].bruhat_lower;
while(edge) {
simplified_graph[edge->to].bruhat_higher =
edgelist_add(simplified_graph[edge->to].bruhat_higher,
i, edgelists_higher, &edgelists_used);
edge = edge->next;
}
}
LOG("Sort opposites.\n");
int *ordering = (int*)malloc(ncosets*sizeof(int));
int *reverse_ordering = (int*)malloc(ncosets*sizeof(int));
node_t *unsorted = (node_t*)malloc(ncosets*sizeof(node_t));
int opp, pos;
pos = 0;
for(int i = 0; i < ncosets; i++) { // first all the pairs
opp = simplified_graph[i].opposite;
if(opp > i) { // first occurrence of this pair
ordering[pos] = i;
ordering[ncosets-1-pos] = opp;
reverse_ordering[i] = pos;
reverse_ordering[opp] = ncosets-1-pos;
pos++;
}
}
for(int i = 0; i < ncosets; i++) // and finally the self-opposites
if(simplified_graph[i].opposite == i) {
ordering[pos] = i;
reverse_ordering[i] = pos;
pos++;
}
// now really do it
memcpy(unsorted, simplified_graph, ncosets*sizeof(node_t));
for(int i = 0; i < ncosets; i++) {
simplified_graph[i] = unsorted[ordering[i]];
simplified_graph[i].opposite = reverse_ordering[simplified_graph[i].opposite];
for(edgelist_t *edge = simplified_graph[i].bruhat_lower; edge != (edgelist_t*)0; edge = edge->next)
edge->to = reverse_ordering[edge->to];
for(edgelist_t *edge = simplified_graph[i].bruhat_higher; edge != (edgelist_t*)0; edge = edge->next)
edge->to = reverse_ordering[edge->to];
for(int j = 0; j < rank; j++) {
simplified_graph[i].left[j] = reverse_ordering[simplified_graph[i].left[j]];
simplified_graph[i].right[j] = reverse_ordering[simplified_graph[i].right[j]];
}
}
free(ordering);
free(reverse_ordering);
free(unsorted);
free(seen);
free(reduced);
free(group);
free(simplified);
graph_free(type, full_graph);
LOG("Simplified graph generated.\n");
return ncosets;
}
node_t *graph_alloc(semisimple_type_t type)
{
int rank = weyl_rank(type);
int order = weyl_order(type);
int hyperplanes = weyl_hyperplanes(type);
node_t *graph = (node_t*)malloc(order*sizeof(node_t));
int *left = (int*)malloc(order*rank*sizeof(int));
int *right = (int*)malloc(order*rank*sizeof(int));
edgelist_t *edgelists = (edgelist_t*)malloc(order*hyperplanes*sizeof(edgelist_t));
int *words = (int*)malloc(order*hyperplanes*sizeof(int));
for(int i = 0; i < order; i++) {
graph[i].left = &left[rank*i];
graph[i].right = &right[rank*i];
graph[i].word = &words[hyperplanes*i];
}
graph[0].bruhat_higher = edgelists;
return graph;
}
void graph_free(semisimple_type_t type, node_t *graph)
{
free(graph[0].left);
free(graph[0].right);
free(graph[0].word);
int order = weyl_order(type);
// find the head of all edgelists by just taking the one having the lowest address
edgelist_t *edgelists = graph[0].bruhat_lower;
for(int i = 0; i < order; i++) {
if(graph[i].bruhat_lower < edgelists && graph[i].bruhat_lower != 0)
edgelists = graph[i].bruhat_lower;
if(graph[i].bruhat_higher < edgelists && graph[i].bruhat_higher != 0)
edgelists = graph[i].bruhat_higher;
}
free(edgelists);
}
/*********************************** THE ACTUAL ENUMERATION ****************************************/
typedef struct {
int size; // the size of the weyl group. We store however only the first size/2 elements
bitvec_t *principal_pos;
bitvec_t *principal_neg;
int *principal_is_slim;
void (*callback)(const bitvec_t *, int, void*);
void *callback_data;
} enumeration_info_t;
/*
This function enumerates all balanced ideals satisfying certain constraints, given by its arguments pos, neg and next_neg
- info: constant information which just gets passed on to recursive calls, mainly contains the principal ideals
- pos: a set of elements which have to be positive (that is, in the ideal)
- neg: a set of elements which have to be negative (not in the ideal)
- next_neg: this element has to be the first negative one not already contained in neg; if next_neg is info.size/2, then everything not in neg has to be positive
- already_known: not a constraint, but just a hint to speed things up; tells the function that the first already_known elements are set either in neg or in pos; must be less or equal to next_neg
- returns number of balanced ideals found
uses the bitvector functions bv_union, bv_copy, bv_set_range_except, bv_disjoint, bv_next_zero
*/
static long enumerate_tree(const enumeration_info_t *info, const bitvec_t *pos, const bitvec_t *neg, int next_neg, int already_known)
{
static long totcount = 0;
bitvec_t newpos, newneg, known;
int next_next_neg;
long count = 0;
// the omission of next_neg means inclusion of info->size - 1 - next_neg
// add its principal ideal to pos and the opposite to neg
if(next_neg != info->size/2) {
// if the principal ideal we want to add is not slim by itself, we don't even have to try; but there is not really a performance benefit, it rather makes it slower
// if(!info->principal_is_slim[info->size - 1 - next_neg])
// return 0;
bv_union(&info->principal_pos[info->size - 1 - next_neg], pos, &newpos);
bv_union(&info->principal_neg[info->size - 1 - next_neg], neg, &newneg);
} else { // or, if there is no next_neg, just copy
bv_copy(pos, &newpos);
bv_copy(neg, &newneg);
}
// everything before next_neg which was unknown should be set to positive; to speed this up, we can start with already_known
bv_set_range_except(&newpos, neg, already_known, next_neg);
#ifdef _DEBUG
bv_print_nice(stderr, &newpos, &newneg, -1, info->size/2);
fprintf(stderr, "\n");
#endif
// check if this leads to any conflicts (equivalently, violates slimness)
if(!bv_disjoint(&newpos, &newneg))
return 0;
// what do we know so far?
bv_union(&newpos, &newneg, &known);
next_next_neg = bv_next_zero(&known, next_neg + 1);
if(next_next_neg >= info->size/2) {
// there is no unknown left, so we found a balanced ideal
if(info->callback)
info->callback(&newpos, info->size, info->callback_data);
return 1;
}
do {
count += enumerate_tree(info, &newpos, &newneg, next_next_neg, next_neg + 1);
next_next_neg = bv_next_zero(&known, next_next_neg + 1);
} while(next_next_neg <= info->size/2);
return count;
}
/*
enumerates all balanced ideals
- graph: hasse diagram of the bruhat order (of double cosets) with opposition pairing
- size: number of nodes in graph
- callback to call when a balanced ideal was found
- arbitrary data for callback function
returns the number of balanced ideals
*/
long enumerate_balanced_thickenings(node_t *graph, int size, void (*callback) (const bitvec_t *, int, void*), void *callback_data)
{
signed char *level;
long count = 0;
enumeration_info_t info;
queue_t queue;
int current;
edgelist_t *edge;
info.size = size;
info.callback = callback;
info.callback_data = callback_data;
info.principal_pos = (bitvec_t*)malloc(info.size*sizeof(bitvec_t));
info.principal_neg = (bitvec_t*)malloc(info.size*sizeof(bitvec_t));
info.principal_is_slim = (int*)malloc(info.size*sizeof(int));
// the algorithm only works if the opposition pairing does not stabilize any element
// if this happens, there can be no balanced thickenings
for(int i = 0; i < info.size; i++)
if(graph[i].opposite == i)
return 0;
// we can only handle bitvectors up to 64*BV_QWORD_RANK bits, but we only store half of the weyl group
if(info.size > 128*BV_QWORD_RANK)
return -1;
// generate principal ideals
int *principal = (int*)malloc(info.size*sizeof(int));
for(int i = 0; i < info.size; i++) {
memset(principal, 0, info.size*sizeof(int));
principal[i] = 1;
queue_init(&queue);
queue_put(&queue, i);
while((current = queue_get(&queue)) != -1)
for(edge = graph[current].bruhat_lower; edge; edge = edge->next)
if(!principal[edge->to]) {
principal[edge->to] = 1;
queue_put(&queue, edge->to);
}
// copy the first half into bitvectors
bv_clear(&info.principal_pos[i]);
bv_clear(&info.principal_neg[i]);
info.principal_is_slim[i] = 1;
for(int j = 0; j < info.size/2; j++)
if(principal[j])
bv_set_bit(&info.principal_pos[i], j);
for(int j = 0; j < info.size/2; j++)
if(principal[info.size - 1 - j]) {
bv_set_bit(&info.principal_neg[i], j);
if(bv_get_bit(&info.principal_pos[i], j))
info.principal_is_slim[i] = 0;
}
}
free(principal);
// output principal ideals
#ifdef _DEBUG
for(int i = 0; i < info.size; i++) {
fprintf(stderr, "%2d: ", i);
bv_print_nice(stderr, &info.principal_pos[i], &info.principal_neg[i], -1, info.size/2);
fprintf(stderr, "\n");
}
fprintf(stderr,"\n");
#endif
// enumerate balanced ideals
bitvec_t pos, neg;
bv_clear(&pos);
bv_clear(&neg);
for(int i = 0; i <= info.size/2; i++)
count += enumerate_tree(&info, &pos, &neg, i, 0);
free(info.principal_is_slim);
free(info.principal_pos);
free(info.principal_neg);
return count;
}