#include "coxeter.h" #include "linalg.h" #include "mat.h" #include "enumerate_triangle_group.h" #include "parallel.h" #include #define SWAP(t,x,y) do { t _tmp = (x); (x) = (y); (y) = _tmp; } while (0); //#define DEBUG(msg, ...) fprintf(stderr, "[%003d%10.3f] " msg, mpi_rank(0), runtime(), ##__VA_ARGS__) #define DEBUG(msg, ...) #define INFO(msg, ...) fprintf(stderr, "[%003d%10.3f] " msg, mpi_rank(0), runtime(), ##__VA_ARGS__) struct result { int id; NUMBER tr; NUMBER trinv; int disc_sign; }; // we want as much as possible to be node data, except if it is only known to the main node // (command line arguments) or should only be computed once (id list) struct global_data { // command line arguments unsigned int nmax; unsigned int p1, p2, p3; unsigned int sstart, send, sdenom; unsigned int qstart, qend, qdenom; unsigned int *id_list; unsigned int id_list_length; }; struct node_data { group_t *group; mat* matrices; struct result *invariants; struct result **distinct_invariants; int distinct_invariants_length; mps_context *solver; }; struct input_data { unsigned int snum, sden; unsigned int qnum, qden; }; struct output_data { int n_non_loxodromic; int min_wordlength; int elements[10]; }; static int compare_result(const void *a_, const void *b_) { int d = 0; struct result **a = (struct result **)a_; struct result **b = (struct result **)b_; d = CMP((*a)->tr,(*b)->tr); if(d == 0) { d = CMP((*a)->trinv, (*b)->trinv); } return d; } static int compare_result_by_id(const void *a_, const void *b_) { int d = 0; struct result **a = (struct result **)a_; struct result **b = (struct result **)b_; return (*a)->id - (*b)->id; } static int compare_result_by_tr_trinv_id(const void *a_, const void *b_) { int d = 0; struct result **a = (struct result **)a_; struct result **b = (struct result **)b_; d = CMP((*a)->tr,(*b)->tr); if(d == 0) { d = CMP((*a)->trinv, (*b)->trinv); if(d == 0) { d = (*b)->id - (*a)->id; } } return d; } /* static int compare_result_by_slope(const void *a_, const void *b_) { int d = 0; struct result **a = (struct result **)a_; struct result **b = (struct result **)b_; double slopea = (*a)->x / (*a)->y; double slopeb = (*b)->x / (*b)->y; return slopea > slopeb ? -1 : slopea < slopeb ? 1 : 0; } */ int invariants_trace_loxodromic(group_t *group, mat *matrices, struct result **invariants, int *n, int unique) { int ntraces = *n, nuniq; // ntraces is the number of traces we are asked to compute, nuniq is the number of unique ones after we eliminate duplicates // compute the traces for(int i = 0; i < ntraces; i++) { int id = invariants[i]->id; int invid = group->elements[id].inverse->id; mat_trace(invariants[i]->tr, matrices[id]); mat_trace(invariants[i]->trinv, matrices[invid]); } // throw out duplicates if unique == 1 if(!unique) nuniq = ntraces; else { qsort(invariants, ntraces, sizeof(struct result*), compare_result); nuniq = 0; for(int i = 0; i < ntraces; i++) { if(i == 0 || compare_result(&invariants[i], &invariants[nuniq-1]) != 0) { invariants[nuniq] = invariants[i]; nuniq++; } else { int oldlength = group->elements[invariants[nuniq-1]->id].length; int newlength = group->elements[invariants[i]->id].length; if(newlength < oldlength) invariants[nuniq-1]->id = invariants[i]->id; } } } // check if loxodromic NUMBER disc, zero; double disc_real; INIT(disc, QT_SQRT5); INIT(zero, QT_SQRT5); SET_ZERO(zero); for(int i = 0; i < nuniq; i++) { discriminant(disc, invariants[i]->tr, invariants[i]->trinv); disc_real = mpq_get_d(disc->a[0]) + sqrt(5)*mpq_get_d(disc->a[1]); gmp_printf("%Qd %Qd %f\n", disc->a[0], disc->a[1], disc_real); invariants[i]->disc_sign = disc_real > 0 ? 1 : disc_real < 0 ? -1 : 0; } CLEAR(disc); CLEAR(zero); // sort by ID again qsort(invariants, nuniq, sizeof(struct result*), compare_result_by_id); *n = nuniq; return 0; } /* int invariants_trace_slope(group_t *group, mat *matrices, struct result **invariants, int *n, int unique) { mpq_t tmp; mps_context *solver; mps_monomial_poly *poly; int index; int ntraces = *n, nuniq; int retval; double evs[3]; char buf[100]; // DEBUG("Compute traces\n"); for(int i = 0; i < ntraces; i++) { int id = invariants[i]->id; int invid = group->elements[id].inverse->id; mat_trace(invariants[i]->tr, matrices[id]); mat_trace(invariants[i]->trinv, matrices[invid]); } if(!unique) nuniq = ntraces; else { // DEBUG("Get unique traces\n"); qsort(invariants, ntraces, sizeof(struct result*), compare_result); nuniq = 0; for(int i = 0; i < ntraces; i++) { if(i == 0 || compare_result(&invariants[i], &invariants[nuniq-1]) != 0) { invariants[nuniq] = invariants[i]; nuniq++; } else { int oldlength = group->elements[invariants[nuniq-1]->id].length; int newlength = group->elements[invariants[i]->id].length; if(newlength < oldlength) invariants[nuniq-1]->id = invariants[i]->id; } } } DEBUG("Solve characteristic polynomials\n"); solver = mps_context_new(); poly = mps_monomial_poly_new(solver, 3); mps_context_set_output_prec(solver, 20); // relative precision mps_context_set_output_goal(solver, MPS_OUTPUT_GOAL_APPROXIMATE); for(int i = 0; i < nuniq; i++) { retval = solve_characteristic_polynomial(solver, poly, invariants[i]->tr, invariants[i]->trinv, evs); if(retval == 1) { fprintf(stderr, "Error! Could not solve polynomial.\n"); continue; } else if(retval == 2) { continue; } if(fabs(evs[0]) < fabs(evs[1])) SWAP(double, evs[0], evs[1]); if(fabs(evs[1]) < fabs(evs[2])) SWAP(double, evs[1], evs[2]); if(fabs(evs[0]) < fabs(evs[1])) SWAP(double, evs[0], evs[1]); double x = log(fabs(evs[0])); double y = -log(fabs(evs[2])); invariants[i]->x = x; invariants[i]->y = y; invariants[i]->slope = y/x; } mps_context_free(solver); qsort(invariants, nuniq, sizeof(struct result*), compare_result_by_id); *n = nuniq; return 0; } */ /* long check_memory_usage(mat *matrices, int n) { mpq_t x; long total; for(int i = 0; i < n; i++) { LOOP(j,3) LOOP(k,3) { total += mpq_numref(M(matrices[i], j, k))->_mp_size; total += mpq_denref(M(matrices[i], j, k))->_mp_size; } } return total; } */ void destroy_node(const void *_g, void *_n) { struct global_data *g = (struct global_data *)_g; struct node_data *n = (struct node_data *)_n; for(int i = 0; i < g->nmax; i++) { CLEAR(n->invariants[i].tr); CLEAR(n->invariants[i].trinv); } free(n->invariants); free(n->distinct_invariants); for(int i = 0; i < g->nmax; i++) mat_clear(n->matrices[i]); free(n->matrices); coxeter_clear(n->group); } int init_node(const void *_g, void *_n) { struct global_data *g = (struct global_data *)_g; struct node_data *n = (struct node_data *)_n; DEBUG("Allocate\n"); g->id_list = (int*)(g+1); // pointers get scrambled by transmission, reconstruct n->matrices = malloc(g->nmax*sizeof(mat)); for(int i = 0; i < g->nmax; i++) mat_init(n->matrices[i], 3, QT_SQRT5); n->invariants = malloc(g->nmax*sizeof(struct result)); n->distinct_invariants = malloc(g->nmax*sizeof(struct result)); // we won't need that many, but just in case for(int i = 0; i < g->nmax; i++) { INIT(n->invariants[i].tr, QT_SQRT5); INIT(n->invariants[i].trinv, QT_SQRT5); n->invariants[i].id = i; } // order of the triangle reflection generators: a, b, c // order of the rotation orders: bc, ac, ab DEBUG("Generate group\n"); n->group = coxeter_init_triangle(g->p1, g->p2, g->p3, g->nmax); return 0; } int process_output(group_t *group, mat *matrices, struct result **invariants, int invariants_length, struct output_data *out) { out->n_non_loxodromic = 0; out->min_wordlength = INT_MAX; for(int i = 0; i < invariants_length; i++) { if(invariants[i]->disc_sign <= 0 && invariants[i]->id != 0 && invariants[i]->id != 4 && invariants[i]->id != 22) { if(out->n_non_loxodromic < 10) out->elements[out->n_non_loxodromic] = invariants[i]->id; out->n_non_loxodromic++; if(group->elements[invariants[i]->id].length < out->min_wordlength) out->min_wordlength = group->elements[invariants[i]->id].length; } } } int do_computation(const void *_g, void *_n, const void *_in, void *_out) { struct global_data *g = (struct global_data *)_g; struct node_data *n = (struct node_data *)_n; struct input_data *in = (struct input_data *)_in; struct output_data *out = (struct output_data *)_out; mpq_t s, q; mpq_inits(s, q, NULL); mpq_set_ui(s, in->snum, in->sden); mpq_set_ui(q, in->qnum, in->qden); INFO("Computing represention with s = %d/%d and q = %d/%d.\n", in->snum, in->sden, in->qnum, in->qden); // we need to compute all the elements pointed to in id_list, and all their suffixes or prefixes // I can imagine a smarter way of doing this which checks if there is a shorter route to the element for(int i = 0; i < n->group->size; i++) n->group->elements[i].need_to_compute = 0; n->group->elements[0].need_to_compute = 1; int needed_elements = 1; for(int i = 0; i < g->id_list_length; i++) { int id = g->id_list[i]; n->distinct_invariants[i] = &n->invariants[id]; groupelement_t *cur = &n->group->elements[id]; while(cur->need_to_compute == 0) { cur->need_to_compute = 1; needed_elements++; cur = cur->parent->parent; // also need to compute its even-length ancestors } cur = n->group->elements[id].inverse; while(cur->need_to_compute == 0) { cur->need_to_compute = 1; needed_elements++; cur = cur->parent->parent; } } n->distinct_invariants_length = g->id_list_length; DEBUG("Need to compute %d elements to get %d traces up to reflection length %d\n", needed_elements, g->id_list_length, n->group->elements[n->group->size-1].length); DEBUG("Compute matrices\n"); mat gen[6]; for(int i = 0; i < 6; i++) mat_init(gen[i], 3, QT_SQRT5); generators_triangle_rotation_555_barbot(gen, s, q); enumerate_triangle_rotation_subgroup(n->group, gen, n->matrices); for(int i = 0; i < 6; i++) mat_clear(gen[i]); DEBUG("Compute invariants\n"); invariants_trace_loxodromic( n->group, n->matrices, n->distinct_invariants, &n->distinct_invariants_length, 1); // DEBUG("Find max slopes\n"); process_output(n->group, n->matrices, n->distinct_invariants, n->distinct_invariants_length, out); mpq_clears(s, q, NULL); return 0; } int main(int argc, char *argv[]) { char buf[1000]; char buf2[1000]; char buf3[1000]; struct global_data *g; struct node_data n; start_timer(); // parse command line arguments if(argc < 11) { fprintf(stderr, "Usage: %s [restart]\n", argv[0]); exit(1); } int nmax = atoi(argv[1]); g = (struct global_data*)malloc(sizeof(struct global_data) + nmax*sizeof(int)); g->id_list = (int*)(g+1); g->nmax = nmax; g->p1 = atoi(argv[2]); g->p2 = atoi(argv[3]); g->p3 = atoi(argv[4]); g->sstart = atoi(argv[5]); g->send = atoi(argv[6]); g->sdenom = atoi(argv[7]); g->qstart = atoi(argv[8]); g->qend = atoi(argv[9]); g->qdenom = atoi(argv[10]); // initialize parallel_context *ctx = parallel_init(); parallel_set_datasize_and_callbacks(ctx, init_node, do_computation, destroy_node, sizeof(struct global_data) + g->nmax*sizeof(int), sizeof(struct node_data), sizeof(struct input_data), sizeof(struct output_data)); if(ctx->mpi_mode == 1 && ctx->rank != 0) { // worker mode parallel_work(ctx); parallel_destroy(ctx); exit(0); } init_node(g, &n); // use very generic values for the pilot run unless sstart=send and qstart=qend struct input_data pilot_input; struct output_data pilot_output; if(g->sstart == g->send && g->qstart == g->qend) { pilot_input.snum = g->sstart; pilot_input.sden = g->sdenom; pilot_input.qnum = g->qstart; pilot_input.qden = g->qdenom; DEBUG("Single run for s = %d/%d, q = %d/%d\n", g->sstart, g->sdenom, g->qstart, g->qdenom); } else { pilot_input.snum = 4; pilot_input.sden = 100; pilot_input.qnum = 7; pilot_input.qden = 100; DEBUG("Initial run for s = %d/%d, q = %d/%d\n", 4, 100, 7, 100); } g->id_list_length = 0; for(int i = 0; i < n.group->size; i++) if(n.group->elements[i].length % 2 == 0 && n.group->elements[i].inverse) g->id_list[g->id_list_length++] = i; do_computation(g, &n, &pilot_input, &pilot_output); for(int i = 0; i < n.distinct_invariants_length; i++) g->id_list[i] = n.distinct_invariants[i]->id; g->id_list_length = n.distinct_invariants_length; if(g->sstart != g->send || g->qstart != g->qend) { struct input_data *inputs = malloc((g->send - g->sstart + 1)*(g->qend - g->qstart + 1)*sizeof(struct input_data)); struct output_data *outputs = malloc((g->send - g->sstart + 1)*(g->qend - g->qstart + 1)*sizeof(struct output_data)); int njobs = 0; for(int sloop = g->sstart; sloop <= g->send; sloop++) { for(int qloop = g->qstart; qloop <= g->qend; qloop++) { inputs[njobs].sden = g->sdenom; inputs[njobs].qden = g->qdenom; inputs[njobs].snum = sloop; inputs[njobs].qnum = qloop; njobs++; } } if(argc >= 12) parallel_run(ctx, g, inputs, outputs, njobs, argv[11]); else parallel_run(ctx, g, inputs, outputs, njobs, NULL); // DEBUG("Loop for s = %d/%d, q = %d/%d\n", sloop, g->sdenom, qloop, g->qdenom); for(int i = 0; i < njobs; i++) { /* gmp_printf("%d/%d %d/%d %d %s %f\n", inputs[i].snum, inputs[i].sden, inputs[i].qnum, inputs[i].qden, outputs[i].max_slope_id, print_word(&n.group->elements[outputs[i].max_slope_id], buf), outputs[i].max_slope); */ printf("%d/%d %d/%d %d %d", inputs[i].snum, inputs[i].sden, inputs[i].qnum, inputs[i].qden, outputs[i].n_non_loxodromic, outputs[i].min_wordlength); for(int j = 0; j < 10 && j < outputs[i].n_non_loxodromic; j++) printf(" %s", print_word(&n.group->elements[outputs[i].elements[j]], buf)); printf("\n"); } free(inputs); free(outputs); } else { // output for(int i = 0; i < n.distinct_invariants_length; i++) { // exclude tr = trinv = 2/1/0/-1/3 /* mpq_t tmp; mpq_init(tmp); mpq_set_si(tmp, 2, 1); if(mpq_cmp(n.distinct_invariants[i]->tr, tmp) == 0 && mpq_cmp(n.distinct_invariants[i]->trinv, tmp) == 0) continue; mpq_set_si(tmp, 1, 1); if(mpq_cmp(n.distinct_invariants[i]->tr, tmp) == 0 && mpq_cmp(n.distinct_invariants[i]->trinv, tmp) == 0) continue; mpq_set_si(tmp, 0, 1); if(mpq_cmp(n.distinct_invariants[i]->tr, tmp) == 0 && mpq_cmp(n.distinct_invariants[i]->trinv, tmp) == 0) continue; mpq_set_si(tmp, -1, 1); if(mpq_cmp(n.distinct_invariants[i]->tr, tmp) == 0 && mpq_cmp(n.distinct_invariants[i]->trinv, tmp) == 0) continue; mpq_set_si(tmp, 3, 1); if(mpq_cmp(n.distinct_invariants[i]->tr, tmp) == 0 && mpq_cmp(n.distinct_invariants[i]->trinv, tmp) == 0) continue; mpq_clear(tmp); */ SNPRINT(buf, sizeof(buf), n.distinct_invariants[i]->tr); SNPRINT(buf2, sizeof(buf2), n.distinct_invariants[i]->trinv); printf("%d %s %d\n", n.distinct_invariants[i]->id, print_word(&n.group->elements[n.distinct_invariants[i]->id], buf3), // mpq_get_d(n.distinct_invariants[i]->tr[0])+sqrt(5)*mpq_get_d(n.distinct_invariants[i]->tr[1]), // mpq_get_d(n.distinct_invariants[i]->trinv[0])+sqrt(5)*mpq_get_d(n.distinct_invariants[i]->trinv[1]), n.distinct_invariants[i]->disc_sign); } } destroy_node(g, &n); free(g); parallel_destroy(ctx); }