static int progress(
void *instance,
const lbfgsfloatval_t *local_x,
const lbfgsfloatval_t *local_g,
const lbfgsfloatval_t fx,
const lbfgsfloatval_t xnorm,
const lbfgsfloatval_t gnorm,
const lbfgsfloatval_t step,
int n,
int k,
int ls
)
{
YAP_Term call;
YAP_Bool result;
YAP_Int s1;
YAP_Term t[8];
t[0] = YAP_MkFloatTerm(fx);
t[1] = YAP_MkFloatTerm(xnorm);
t[2] = YAP_MkFloatTerm(gnorm);
t[3] = YAP_MkFloatTerm(step);
t[4] = YAP_MkIntTerm(n);
t[5] = YAP_MkIntTerm(k);
t[6] = YAP_MkIntTerm(ls);
t[7] = YAP_MkVarTerm();
call = YAP_MkApplTerm( fprogress8, 8, t);
s1 = YAP_InitSlot(call);
optimizer_status=OPTIMIZER_STATUS_CB_PROGRESS;
result=YAP_CallProlog(call);
optimizer_status=OPTIMIZER_STATUS_RUNNING;
call = YAP_GetFromSlot( s1 );
if (result==FALSE) {
printf("ERROR: Calling the progress call back function in YAP.\n");
// Goal did not succeed
return FALSE;
}
if (YAP_IsIntTerm(YAP_ArgOfTerm(8,call))) {
return YAP_IntOfTerm(YAP_ArgOfTerm(8,call));
}
YAP_ShutdownGoal( TRUE );
fprintf(stderr, "ERROR: The progress call back function did not return an integer as last argument\n");
return 1;
}
/** @pred optimizer_run(-F,-Status)
Runs the optimization, _F is the best (minimal) function value and
Status (int) is the status code returned by libLBFGS. Anything except
0 indicates an error, see the documentation of libLBFGS for the
meaning.
*/
static int optimizer_run(void) {
int ret = 0;
YAP_Term t1 = YAP_ARG1;
YAP_Term t2 = YAP_ARG2;
YAP_Int s1, s2;
lbfgsfloatval_t fx;
lbfgsfloatval_t * tmp_x=x;
if (optimizer_status == OPTIMIZER_STATUS_NONE) {
printf("ERROR: Memory for parameter vector not initialized, please call optimizer_initialize/1 first.\n");
return FALSE;
}
if (optimizer_status != OPTIMIZER_STATUS_INITIALIZED) {
printf("ERROR: Optimizer is running right now. Please wait till it is finished.\n");
return FALSE;
}
// both arguments have to be variables
if (! YAP_IsVarTerm(t1) || ! YAP_IsVarTerm(t2)) {
return FALSE;
}
s1 = YAP_InitSlot(t1);
s2 = YAP_InitSlot(t2);
optimizer_status = OPTIMIZER_STATUS_RUNNING;
ret = lbfgs(n, x, &fx, evaluate, progress, NULL, ¶m);
x=tmp_x;
optimizer_status = OPTIMIZER_STATUS_INITIALIZED;
YAP_Unify(YAP_GetFromSlot(s1),YAP_MkFloatTerm(fx));
YAP_Unify(YAP_GetFromSlot(s2),YAP_MkIntTerm(ret));
return TRUE;
}
static YAP_Term get_term(list_cell cell)
{
if (strncmp(cell.type, "int", 3) == 0)
return YAP_MkIntTerm(cell.int_val);
else if (strncmp(cell.type, "double", 6) == 0)
return YAP_MkFloatTerm(cell.double_val);
return YAP_MkIntTerm(0);
}
static YAP_Bool make_point (YAP_Float x,
YAP_Float y,
const char * functor_name,
YAP_Term *term)
{
YAP_Term p[2];
YAP_Functor functor;
if (functor_name == NULL)
functor = YAP_MkFunctor (YAP_LookupAtom (","), 2);
else
functor = YAP_MkFunctor (YAP_LookupAtom (functor_name), 2);
p[0] = YAP_MkFloatTerm (x);
p[1] = YAP_MkFloatTerm (y);
*term = YAP_MkApplTerm (functor, 2, p);
return (TRUE);
}
static int float_val(void)
{
YAP_Term in = YAP_ARG1;
YAP_Term out = YAP_ARG2;
char buffer[256];
YAP_StringToBuffer(in, buffer, BUFSIZE);
YAP_Term res = YAP_MkFloatTerm(get_double(buffer));
return YAP_Unify(out, res);
}
/*
* returns the statistics
*/
static YAP_Bool mpi_stats(term_t YAP_ARG1,...){
fprintf(stderr,"%f %ld %ld %ld %ld %ld %ld\n",MPITIME,num_msgs_recv,bytes_recv,max_s_recv_msg,num_msgs_sent,bytes_sent,max_s_sent_msg);
return (YAP_Unify(YAP_ARG1, YAP_MkFloatTerm((float)(MPITIME))) &&
YAP_Unify(YAP_ARG2, YAP_MkIntTerm((long)num_msgs_recv)) &&
YAP_Unify(YAP_ARG3, YAP_MkIntTerm((long)bytes_recv)) &&
YAP_Unify(YAP_ARG4, YAP_MkIntTerm((long)max_s_recv_msg)) &&
YAP_Unify(YAP_ARG5, YAP_MkIntTerm((long)num_msgs_sent)) &&
YAP_Unify(YAP_ARG6, YAP_MkIntTerm((long)bytes_sent)) &&
YAP_Unify(YAP_ARG7, YAP_MkIntTerm((long)max_s_sent_msg))
);
}
static int
item2(YAP_Term tvar, YAP_Term titem, int offx, int offy)
{
mxArray *mat;
int rows;
int cols;
int off;
mat = get_array(tvar);
rows = mxGetM(mat);
cols = mxGetN(mat);
off = MAT_ACCESS(offx,offy,rows,cols);
if (!mat)
return FALSE;
if (mxIsInt32(mat)) {
INT32_T *input = (INT32_T *)mxGetPr(mat);
if (YAP_IsIntTerm(titem)) {
input[off] = YAP_IntOfTerm(titem);
} else if (YAP_IsFloatTerm(titem)) {
input[off] = YAP_FloatOfTerm(titem);
} else if (YAP_IsVarTerm(titem)) {
return YAP_Unify(titem, YAP_MkIntTerm(input[off]));
} else
return FALSE;
} else if (mxIsInt64(mat)) {
INT64_T *input = (INT64_T *)mxGetPr(mat);
if (YAP_IsIntTerm(titem)) {
input[off] = YAP_IntOfTerm(titem);
} else if (YAP_IsFloatTerm(titem)) {
input[off] = YAP_FloatOfTerm(titem);
} else if (YAP_IsVarTerm(titem)) {
return YAP_Unify(titem, YAP_MkIntTerm(input[off]));
} else
return FALSE;
} else if (mxIsCell(mat)) {
if (YAP_IsVarTerm(titem)) {
return YAP_Unify(titem, YAP_MkIntTerm((YAP_Int)mxGetCell(mat,off)));
} else {
mxArray *mat2 = get_array(titem);
mxSetCell(mat,off, mat2);
}
} else if (mxIsDouble(mat)) {
double *input = mxGetPr(mat);
if (YAP_IsFloatTerm(titem)) {
input[off] = YAP_FloatOfTerm(titem);
} else if (YAP_IsIntTerm(titem)) {
input[off] = YAP_IntOfTerm(titem);
} else {
return YAP_Unify(titem, YAP_MkFloatTerm(input[off]));
}
} else
return FALSE;
return cp_back(tvar, mat);
}
static YAP_Bool ret_prob(void) {
YAP_Term arg1, arg2, out;
DdNode *node;
arg1 = YAP_ARG1;
arg2 = YAP_ARG2;
node = (DdNode *)YAP_IntOfTerm(arg1);
if (!Cudd_IsConstant(node)) {
table = init_table(boolVars_ex[ex]);
out = YAP_MkFloatTerm(Prob(node, 0));
destroy_table(table, boolVars_ex[ex]);
} else {
if (node == Cudd_ReadOne(mgr_ex[ex]))
out = YAP_MkFloatTerm(1.0);
else
out = YAP_MkFloatTerm(0.0);
}
return (YAP_Unify(out, arg2));
}
static YAP_Bool paths(void) {
double paths;
YAP_Term arg1, arg2, out;
DdNode *node;
arg1 = YAP_ARG1;
arg2 = YAP_ARG2;
node = (DdNode *)YAP_IntOfTerm(arg1);
paths = Cudd_CountPath(node);
out = YAP_MkFloatTerm(paths);
return (YAP_Unify(out, arg2));
}
static lbfgsfloatval_t evaluate(
void *instance,
const lbfgsfloatval_t *x,
lbfgsfloatval_t *g_tmp,
const int n,
const lbfgsfloatval_t step
)
{
YAP_Term call;
YAP_Term a1;
YAP_Bool result;
YAP_Int s1;
YAP_Term t[3];
t[0] = YAP_MkVarTerm();
t[1] = YAP_MkIntTerm(n);
t[2] = YAP_MkFloatTerm(step);
call = YAP_MkApplTerm(fcall3, 3, t);
g=g_tmp;
s1 = YAP_InitSlot(call);
optimizer_status=OPTIMIZER_STATUS_CB_EVAL;
result=YAP_CallProlog(call);
optimizer_status=OPTIMIZER_STATUS_RUNNING;
if (result==FALSE) {
printf("ERROR: Calling the evaluate call back function in YAP.\n");
// Goal did not succeed
return FALSE;
}
call = YAP_GetFromSlot( s1 );
a1 = YAP_ArgOfTerm(1,call);
if (YAP_IsFloatTerm(a1)) {
YAP_ShutdownGoal( TRUE );
return (lbfgsfloatval_t) YAP_FloatOfTerm(a1);
} else if (YAP_IsIntTerm(a1)) {
YAP_ShutdownGoal( TRUE );
return (lbfgsfloatval_t) YAP_IntOfTerm(a1);
}
YAP_ShutdownGoal( TRUE );
fprintf(stderr, "ERROR: The evaluate call back function did not return a number as first argument.\n");
return 0;
}
static int
p_random(void)
{
double fli;
long int t1, t2, t3;
t1 = (a1 * 171) % 30269;
t2 = (b1 * 172) % 30307;
t3 = (c1 * 170) % 30323;
fli = (t1/30269.0) + (t2/30307.0) + (t3/30323.0);
a1 = t1;
b1 = t2;
c1 = t3;
return(YAP_Unify(YAP_ARG1, YAP_MkFloatTerm(fli-(int)(fli))));
}
/* this has to be done carefully because we all need to transpose the matrix */
static YAP_Term
cp_floats(int ndims, int *dims, double *input, int factor, int base, YAP_Term t)
{
int i;
if (ndims == 1)
for (i=dims[0]; i>0; i--) {
t = YAP_MkPairTerm(YAP_MkFloatTerm(input[base+factor*(i-1)]),t);
}
else
for (i=dims[0]; i>0; i--) {
t = cp_floats(ndims-1, dims+1, input, factor*dims[0], base+factor*(i-1),t);
}
return t;
}
static int optimizer_get_parameter( void ) {
YAP_Term t1 = YAP_ARG1;
YAP_Term t2 = YAP_ARG2;
if (! YAP_IsAtomTerm(t1)) {
return FALSE;
}
const char* name=YAP_AtomName(YAP_AtomOfTerm(t1));
if ((strcmp(name, "m") == 0)) {
return YAP_Unify(t2,YAP_MkIntTerm(param.m));
} else if ((strcmp(name, "epsilon") == 0)) {
return YAP_Unify(t2,YAP_MkFloatTerm(param.epsilon));
} else if ((strcmp(name, "past") == 0)) {
return YAP_Unify(t2,YAP_MkIntTerm(param.past));
} else if ((strcmp(name, "delta") == 0)) {
return YAP_Unify(t2,YAP_MkFloatTerm(param.delta));
} else if ((strcmp(name, "max_iterations") == 0)) {
return YAP_Unify(t2,YAP_MkIntTerm(param.max_iterations));
} else if ((strcmp(name, "linesearch") == 0)) {
return YAP_Unify(t2,YAP_MkIntTerm(param.linesearch));
} else if ((strcmp(name, "max_linesearch") == 0)) {
return YAP_Unify(t2,YAP_MkIntTerm(param.max_linesearch));
} else if ((strcmp(name, "min_step") == 0)) {
return YAP_Unify(t2,YAP_MkFloatTerm(param.min_step));
} else if ((strcmp(name, "max_step") == 0)) {
return YAP_Unify(t2,YAP_MkFloatTerm(param.max_step));
} else if ((strcmp(name, "ftol") == 0)) {
return YAP_Unify(t2,YAP_MkFloatTerm(param.ftol));
} else if ((strcmp(name, "gtol") == 0)) {
return YAP_Unify(t2,YAP_MkFloatTerm(param.gtol));
} else if ((strcmp(name, "xtol") == 0)) {
return YAP_Unify(t2,YAP_MkFloatTerm(param.xtol));
} else if ((strcmp(name, "orthantwise_c") == 0)) {
return YAP_Unify(t2,YAP_MkFloatTerm(param.orthantwise_c));
} else if ((strcmp(name, "orthantwise_start") == 0)) {
return YAP_Unify(t2,YAP_MkIntTerm(param.orthantwise_start));
} else if ((strcmp(name, "orthantwise_end") == 0)) {
return YAP_Unify(t2,YAP_MkIntTerm(param.orthantwise_end));
}
printf("ERROR: The parameter %s is unknown.\n",name);
return FALSE;
}
static int
item1(YAP_Term tvar, YAP_Term titem, int off)
{
mxArray *mat;
mat = get_array(tvar);
if (!mat)
return FALSE;
if (mxIsInt32(mat)) {
INT32_T *input = (INT32_T *)mxGetPr(mat);
if (YAP_IsIntTerm(titem)) {
input[off] = YAP_IntOfTerm(titem);
} else if (YAP_IsFloatTerm(titem)) {
input[off] = YAP_FloatOfTerm(titem);
} else if (YAP_IsVarTerm(titem)) {
return YAP_Unify(titem, YAP_MkIntTerm(input[off]));
} else
return FALSE;
} else if (mxIsInt64(mat)) {
INT64_T *input = (INT64_T *)mxGetPr(mat);
if (YAP_IsIntTerm(titem)) {
input[off] = YAP_IntOfTerm(titem);
} else if (YAP_IsFloatTerm(titem)) {
input[off] = YAP_FloatOfTerm(titem);
} else if (YAP_IsVarTerm(titem)) {
return YAP_Unify(titem, YAP_MkIntTerm(input[off]));
} else
return FALSE;
} else if (mxIsCell(mat)) {
if (YAP_IsVarTerm(titem)) {
return YAP_Unify(titem, YAP_MkIntTerm((YAP_Int)mxGetCell(mat,off)));
} else {
mxArray *mat2 = get_array(titem);
mxSetCell(mat,off, mat2);
}
} else if (mxIsDouble(mat)) {
double *input = mxGetPr(mat);
if (YAP_IsFloatTerm(titem)) {
input[off] = YAP_FloatOfTerm(titem);
} else if (YAP_IsIntTerm(titem)) {
input[off] = YAP_IntOfTerm(titem);
} else {
return YAP_Unify(titem, YAP_MkFloatTerm(input[off]));
}
} else
return FALSE;
return cp_back(tvar, mat);
}
/** @pred optimizer_get_g(+I,-G)
Get the current value for `g[I]` (the partial derivative of _F_ with respect to `x[I]`). Only possible when the optimizer is
initialized or running.
*/
static int get_g_value(void) {
YAP_Term t1=YAP_ARG1;
YAP_Term t2=YAP_ARG2;
int i=0;
if (optimizer_status != OPTIMIZER_STATUS_RUNNING && optimizer_status != OPTIMIZER_STATUS_CB_EVAL && optimizer_status != OPTIMIZER_STATUS_CB_PROGRESS) {
printf("ERROR: optimizer_get_g/2 can only be called while the optimizer is running.\n");
return FALSE;
}
if (YAP_IsIntTerm(t1)) {
i=YAP_IntOfTerm(t1);
} else {
return FALSE;
}
if (i<0 || i>=n) {
return FALSE;
}
return YAP_Unify(t2,YAP_MkFloatTerm(g[i]));
}
static int
float_max_of_matrix(void)
{
Term t = YAP_ARG1;
YAP_UInt dim = YAP_ArityOfFunctor(YAP_FunctorOfTerm(t)), i, pos;
YAP_Float *mat = (YAP_Float *)malloc( dim*sizeof(YAP_Float) ), max;
if (!mat)
return FALSE;
if (!YAP_ArgsToFloatArray(t, dim, mat))
return FALSE;
max = mat[0];
pos = 0;
for (i = 1; i < dim; i++) {
if (mat[i] > max) {
max = mat[i];
pos = i;
}
}
return YAP_unify(YAP_ARG2, YAP_MkFloatTerm(min)) &&
YAP_unify(YAP_ARG3, YAP_MkIntTerm(pos));
}
/** @pred optimizer_get_x(+I,-X)
Get the current value for `x[I]`. Only possible when the optimizer is
initialized or running.
*/
static int get_x_value(void) {
YAP_Term t1=YAP_ARG1;
YAP_Term t2=YAP_ARG2;
int i=0;
if (optimizer_status==OPTIMIZER_STATUS_NONE) {
printf("ERROR: set_x_value/2 can be called only when the optimizer is initialized.\n");
return FALSE;
}
if (YAP_IsIntTerm(t1)) {
i=YAP_IntOfTerm(t1);
} else {
return FALSE;
}
if (i<0 || i>=n) {
printf("ERROR: invalid index for set_x_value/2.\n");
return FALSE;
}
return YAP_Unify(t2,YAP_MkFloatTerm(x[i]));
}
static YAP_Bool Q(void) {
YAP_Term arg1, arg2, arg3, arg4, out, out1, term, nodesTerm, ruleTerm, tail,
pair, compoundTerm;
DdNode *node1, **nodes_ex;
int r, lenNodes, i;
double p1, p0, **eta_rule, CLL;
arg1 = YAP_ARG1;
arg2 = YAP_ARG2;
arg3 = YAP_ARG3;
arg4 = YAP_ARG4;
nodesTerm = arg1;
lenNodes = YAP_IntOfTerm(arg2);
nodes_ex = (DdNode **)malloc(lenNodes * sizeof(DdNode *));
example_prob = (double *)malloc(lenNodes * sizeof(double));
for (i = 0; i < lenNodes; i++) {
pair = YAP_HeadOfTerm(nodesTerm);
node1 = (DdNode *)YAP_IntOfTerm(YAP_HeadOfTerm(pair));
nodes_ex[i] = node1;
pair = YAP_TailOfTerm(pair);
example_prob[i] = YAP_FloatOfTerm(YAP_HeadOfTerm(pair));
nodesTerm = YAP_TailOfTerm(nodesTerm);
}
for (r = 0; r < nRules; r++) {
for (i = 0; i < rules[r] - 1; i++) {
eta_rule = eta[r];
eta_rule[i][0] = 0;
eta_rule[i][1] = 0;
}
}
CLL = Expectation(nodes_ex, lenNodes);
out = YAP_TermNil();
for (r = 0; r < nRules; r++) {
tail = YAP_TermNil();
eta_rule = eta[r];
for (i = 0; i < rules[r] - 1; i++) {
p0 = eta_rule[i][0];
p1 = eta_rule[i][1];
term = YAP_MkPairTerm(YAP_MkFloatTerm(p0),
YAP_MkPairTerm(YAP_MkFloatTerm(p1), YAP_TermNil()));
tail = YAP_MkPairTerm(term, tail);
}
ruleTerm = YAP_MkIntTerm(r);
compoundTerm =
YAP_MkPairTerm(ruleTerm, YAP_MkPairTerm(tail, YAP_TermNil()));
out = YAP_MkPairTerm(compoundTerm, out);
}
free(nodes_ex);
free(example_prob);
out1 = YAP_MkFloatTerm(CLL);
YAP_Unify(out1, arg4);
return (YAP_Unify(out, arg3));
}
static YAP_Bool EM(void) {
YAP_Term arg1, arg2, arg3, arg4, arg5, arg6, arg7, arg8, out1, out2, out3,
nodesTerm, ruleTerm, tail, pair, compoundTerm;
DdNode *node1, **nodes_ex;
int r, lenNodes, i, iter;
long iter1;
double CLL0 = -2.2 * pow(10, 10); //-inf
double CLL1 = -1.7 * pow(10, 8); //+inf
double p, p0, **eta_rule, ea, er;
double ratio, diff;
arg1 = YAP_ARG1;
arg2 = YAP_ARG2;
arg3 = YAP_ARG3;
arg4 = YAP_ARG4;
arg5 = YAP_ARG5;
arg6 = YAP_ARG6;
arg7 = YAP_ARG7;
arg8 = YAP_ARG8;
nodesTerm = arg1;
ea = YAP_FloatOfTerm(arg2);
er = YAP_FloatOfTerm(arg3);
lenNodes = YAP_IntOfTerm(arg4);
iter = YAP_IntOfTerm(arg5);
nodes_ex = (DdNode **)malloc(lenNodes * sizeof(DdNode *));
nodes_probs_ex = (double *)malloc(lenNodes * sizeof(double));
example_prob = (double *)malloc(lenNodes * sizeof(double));
for (i = 0; i < lenNodes; i++) {
pair = YAP_HeadOfTerm(nodesTerm);
node1 = (DdNode *)YAP_IntOfTerm(YAP_HeadOfTerm(pair));
nodes_ex[i] = node1;
pair = YAP_TailOfTerm(pair);
example_prob[i] = YAP_FloatOfTerm(YAP_HeadOfTerm(pair));
nodesTerm = YAP_TailOfTerm(nodesTerm);
}
diff = CLL1 - CLL0;
ratio = diff / fabs(CLL0);
if (iter == -1)
iter1 = 2147000000;
else
iter1 = iter;
while ((diff > ea) && (ratio > er) && (cycle < iter1)) {
cycle++;
for (r = 0; r < nRules; r++) {
for (i = 0; i < rules[r] - 1; i++) {
eta_rule = eta[r];
eta_rule[i][0] = 0;
eta_rule[i][1] = 0;
}
}
CLL0 = CLL1;
CLL1 = Expectation(nodes_ex, lenNodes);
Maximization();
diff = CLL1 - CLL0;
ratio = diff / fabs(CLL0);
}
out2 = YAP_TermNil();
for (r = 0; r < nRules; r++) {
tail = YAP_TermNil();
p0 = 1;
for (i = 0; i < rules[r] - 1; i++) {
p = arrayprob[r][i] * p0;
tail = YAP_MkPairTerm(YAP_MkFloatTerm(p), tail);
p0 = p0 * (1 - arrayprob[r][i]);
}
tail = YAP_MkPairTerm(YAP_MkFloatTerm(p0), tail);
ruleTerm = YAP_MkIntTerm(r);
compoundTerm =
YAP_MkPairTerm(ruleTerm, YAP_MkPairTerm(tail, YAP_TermNil()));
out2 = YAP_MkPairTerm(compoundTerm, out2);
}
out3 = YAP_TermNil();
for (i = 0; i < lenNodes; i++) {
out3 = YAP_MkPairTerm(YAP_MkFloatTerm(nodes_probs_ex[i]), out3);
}
YAP_Unify(out3, arg8);
out1 = YAP_MkFloatTerm(CLL1);
YAP_Unify(out1, arg6);
free(nodes_ex);
free(example_prob);
free(nodes_probs_ex);
return (YAP_Unify(out2, arg7));
}
static int compute_prob(void)
/* this is the function that implements the compute_prob predicate used in pp.pl
*/
{
YAP_Term out,arg1,arg2,arg3,arg4;
variables vars;
expr expression;
DdNode * function;
DdManager * mgr;
int nBVar,i,intBits,create_dot;
FILE * file;
DdNode * array[1];
double prob;
char * onames[1];
char inames[1000][20];
char * names[1000];
tablerow * nodes;
arg1=YAP_ARG1;
arg2=YAP_ARG2;
arg3=YAP_ARG3;
arg4=YAP_ARG4;
mgr=Cudd_Init(0,0,CUDD_UNIQUE_SLOTS,CUDD_CACHE_SLOTS,0);
create_dot=YAP_IntOfTerm(arg4);
vars=createVars(arg1,mgr,create_dot,inames);
//Cudd_PrintInfo(mgr,stderr);
/* automatic variable reordering, default method CUDD_REORDER_SIFT used */
//printf("status %d\n",Cudd_ReorderingStatus(mgr,&order));
//printf("order %d\n",order);
Cudd_AutodynEnable(mgr,CUDD_REORDER_SAME);
/* Cudd_AutodynEnable(mgr, CUDD_REORDER_RANDOM_PIVOT);
printf("status %d\n",Cudd_ReorderingStatus(mgr,&order));
printf("order %d\n",order);
printf("%d",CUDD_REORDER_RANDOM_PIVOT);
*/
expression=createExpression(arg2);
function=retFunction(mgr,expression,vars);
/* the BDD build by retFunction is converted to an ADD (algebraic decision diagram)
because it is easier to interpret and to print */
//add=Cudd_BddToAdd(mgr,function);
//Cudd_PrintInfo(mgr,stderr);
if (create_dot)
/* if specified by the user, a dot file for the BDD is written to cpl.dot */
{
nBVar=vars.nBVar;
for(i=0; i<nBVar; i++)
names[i]=inames[i];
array[0]=function;
onames[0]="Out";
file = open_file("cpl.dot", "w");
Cudd_DumpDot(mgr,1,array,names,onames,file);
fclose(file);
}
nodes=init_table(vars.nBVar);
intBits=sizeof(unsigned int)*8;
prob=Prob(function,vars,nodes);
out=YAP_MkFloatTerm(prob);
destroy_table(nodes,vars.nBVar);
Cudd_Quit(mgr);
for(i=0; i<vars.nVar; i++)
{
free(vars.varar[i].probabilities);
free(vars.varar[i].booleanVars);
}
free(vars.varar);
free(vars.bVar2mVar);
for(i=0; i<expression.nTerms; i++)
{
free(expression.terms[i].factors);
}
free(expression.terms);
return(YAP_Unify(out,arg3));
}
static int compute_prob(void)
/* this is the function that implements the compute_prob predicate used in pp.pl
*/
{
YAP_Term out,arg1,arg2,arg3,arg4;
array_t * variables,* expression, * bVar2mVar;
DdNode * function, * add;
DdManager * mgr;
int nBVar,i,j,intBits,create_dot;
FILE * file;
DdNode * array[1];
char * onames[1];
char inames[1000][20];
char * names[1000];
GHashTable * nodes; /* hash table that associates nodes with their probability if already
computed, it is defined in glib */
Cudd_ReorderingType order;
arg1=YAP_ARG1;
arg2=YAP_ARG2;
arg3=YAP_ARG3;
arg4=YAP_ARG4;
mgr=Cudd_Init(0,0,CUDD_UNIQUE_SLOTS,CUDD_CACHE_SLOTS,0);
variables=array_alloc(variable,0);
bVar2mVar=array_alloc(int,0);
create_dot=YAP_IntOfTerm(arg4);
createVars(variables,arg1,mgr,bVar2mVar,create_dot,inames);
//Cudd_PrintInfo(mgr,stderr);
/* automatic variable reordering, default method CUDD_REORDER_SIFT used */
//printf("status %d\n",Cudd_ReorderingStatus(mgr,&order));
//printf("order %d\n",order);
Cudd_AutodynEnable(mgr,CUDD_REORDER_SAME);
/* Cudd_AutodynEnable(mgr, CUDD_REORDER_RANDOM_PIVOT);
printf("status %d\n",Cudd_ReorderingStatus(mgr,&order));
printf("order %d\n",order);
printf("%d",CUDD_REORDER_RANDOM_PIVOT);
*/
expression=array_alloc(array_t *,0);
createExpression(expression,arg2);
function=retFunction(mgr,expression,variables);
/* the BDD build by retFunction is converted to an ADD (algebraic decision diagram)
because it is easier to interpret and to print */
add=Cudd_BddToAdd(mgr,function);
//Cudd_PrintInfo(mgr,stderr);
if (create_dot)
/* if specified by the user, a dot file for the BDD is written to cpl.dot */
{
nBVar=array_n(bVar2mVar);
for(i=0;i<nBVar;i++)
names[i]=inames[i];
array[0]=add;
onames[0]="Out";
file = open_file("cpl.dot", "w");
Cudd_DumpDot(mgr,1,array,names,onames,file);
fclose(file);
}
nodes=g_hash_table_new(my_hash,my_equal);
intBits=sizeof(unsigned int)*8;
/* dividend is a global variable used by my_hash
it is equal to an unsigned int with binary representation 11..1 */
dividend=1;
for(j=1;j<intBits;j++)
{
dividend=(dividend<<1)+1;
}
out=YAP_MkFloatTerm(Prob(add,variables,bVar2mVar,nodes));
g_hash_table_foreach (nodes,dealloc,NULL);
g_hash_table_destroy(nodes);
Cudd_Quit(mgr);
array_free(variables);
array_free(bVar2mVar);
array_free(expression);
return(YAP_Unify(out,arg3));
}