void
set_to_random( Vector_E2<NT>& V )
{
NT x = NT(rand()/(RAND_MAX+1.0));
NT y = NT(rand()/(RAND_MAX+1.0));
V = Vector_E2<NT>(x,y);
}
flag Xer_DecodeComplexElementEnd(ByteStream* pByteStrm, const char* elementTag, int *pErrCode)
{
Token t;
if (NT(pByteStrm).TokenID!='<') {
*pErrCode = ERR_INVALID_XML_FILE; /* +++ */
return FALSE;
}
if (NT(pByteStrm).TokenID!='/') {
*pErrCode = ERR_INVALID_XML_FILE; /* +++ */
return FALSE;
}
t = NT(pByteStrm);
if ((t.TokenID != WORD_ID) || (strcmp(t.Value ,elementTag)!=0)) {
*pErrCode = ERR_INVALID_XML_FILE; /* +++ */
return FALSE;
}
if (NT(pByteStrm).TokenID!='>') {
*pErrCode = ERR_INVALID_XML_FILE; /* +++ */
return FALSE;
}
return TRUE;
}
Miniball<CoordAccessor>::Miniball (int d_, Pit begin, Pit end,
CoordAccessor ca)
: d (d_),
points_begin (begin),
points_end (end),
coord_accessor (ca),
time (clock()),
nt0 (NT(0)),
L(),
support_end (L.begin()),
fsize(0),
ssize(0),
current_c (NULL),
current_sqr_r (NT(-1)),
c (NULL),
sqr_r (NULL),
q0 (NULL),
z (NULL),
f (NULL),
v (NULL),
a (NULL)
{
assert (points_begin != points_end);
create_arrays();
// set initial center
for (int j=0; j<d; ++j) c[0][j] = nt0;
current_c = c[0];
// compute miniball
pivot_mb (points_end);
// update time
time = (clock() - time) / CLOCKS_PER_SEC;
}
flag Xer_NextStartElementIs(ByteStream* pByteStrm, const char* elementTag)
{
Token t;
int save = pByteStrm->currentByte;
if (NT(pByteStrm).TokenID!='<') {
pByteStrm->currentByte = save;
return FALSE;
}
t = NT(pByteStrm);
if ((t.TokenID != WORD_ID) || (strcmp(t.Value ,elementTag)!=0)) {
pByteStrm->currentByte = save;
return FALSE;
}
if (NT(pByteStrm).TokenID!='>') {
pByteStrm->currentByte = save;
return FALSE;
}
pByteStrm->currentByte = save;
return TRUE;
}
void
set_to_random( Point_E2<NT>& P )
{
NT x = NT(rand()/(RAND_MAX+1.0));
NT y = NT(rand()/(RAND_MAX+1.0));
P = Point_E2<NT>(x,y);
}
NT unit_part(const NT& x){
// the unit part of 0 is defined as 1.
if (x == 0 ) return NT(1);
typedef CGAL::Algebraic_structure_traits<NT> AST;
typedef typename AST::Algebraic_category Algebraic_category;
return unit_part_(x,Algebraic_category());
}
Token LA(ByteStream* pByteStrm) {
int tmp;
Token ret;
tmp = pByteStrm->currentByte;
ret = NT(pByteStrm);
pByteStrm->currentByte = tmp;
return ret;
}
void test_zono_volume(int n, int m, NT tolerance = 0.15)
{
typedef Cartesian<NT> Kernel;
typedef typename Kernel::Point Point;
typedef boost::mt19937 RNGType;
typedef Zonotope<Point> Zonotope;
Zonotope ZP = gen_zonotope<Zonotope, RNGType>(n, m);
// Setup the parameters
int walk_len=1;
int nexp=1, n_threads=1;
NT e=0.1, err=0.0000000001;
NT C=2.0,ratio,frac=0.1,delta=-1.0, round_value = 1.0;
int rnum = std::pow(e,-2) * 400 * n * std::log(n);
int N = 500 * ((int) C) + ((int) (n * n / 2));
int W = 4*n*n+500;
ratio = 1.0-1.0/(NT(n));
unsigned seed = std::chrono::system_clock::now().time_since_epoch().count();
RNGType rng(seed);
boost::normal_distribution<> rdist(0,1);
boost::random::uniform_real_distribution<>(urdist);
boost::random::uniform_real_distribution<> urdist1(-1,1);
std::pair<NT,NT> res_round;
vars<NT, RNGType> var(rnum,n,walk_len,n_threads,err,e,0,0,0,0,rng,
urdist,urdist1,-1.0,false,false,false,false,false,false,true,false);
//Compute chebychev ball//
std::pair<Point,NT> CheBall;
CheBall = ZP.ComputeInnerBall();
// Estimate the volume
std::cout << "--- Testing volume of Zonotope in dimension: " << n <<" and number of generators: "<< m << std::endl;
std::cout << "Number type: " << typeid(NT).name() << std::endl;
NT vol_exact = exact_zonotope_vol<NT>(ZP);
res_round = rounding_min_ellipsoid(ZP, CheBall, var);
round_value = round_value * res_round.first;
NT vol = 0;
unsigned int const num_of_exp = 10;
for (unsigned int i=0; i<num_of_exp; i++)
{
CheBall = ZP.ComputeInnerBall();
vars<NT, RNGType> var2(rnum,n,10 + n/10,n_threads,err,e,0,0,0,0,rng,
urdist,urdist1,-1.0,false,false,false,false,false,false,true,false);
vars_g<NT, RNGType> var1(n,walk_len,N,W,1,e,CheBall.second,rng,C,frac,ratio,delta,false,
false,false,false,false,false,false,true,false);
vol += round_value * volume_gaussian_annealing(ZP, var1, var2, CheBall);
}
NT error = std::abs(((vol/num_of_exp)-vol_exact))/vol_exact;
std::cout << "Computed volume (average) = " << vol/num_of_exp << std::endl;
std::cout << "Expected volume = " << vol_exact << std::endl;
CHECK(error < tolerance);
}
flag Xer_LA_NextElementTag(ByteStream* pByteStrm, char* elementTag)
{
Token t;
int save = pByteStrm->currentByte;
if (NT(pByteStrm).TokenID!='<') {
pByteStrm->currentByte = save;
return FALSE;
}
t = NT(pByteStrm);
strcpy(elementTag, t.Value);
if ((t.TokenID != WORD_ID) || (strcmp(t.Value ,elementTag)!=0)) {
pByteStrm->currentByte = save;
return FALSE;
}
t = NT(pByteStrm);
if (t.TokenID =='/') {
if (NT(pByteStrm).TokenID == '>') {
pByteStrm->currentByte = save;
return TRUE;
} else {
pByteStrm->currentByte = save;
return FALSE;
}
} else {
if (t.TokenID != '>') {
pByteStrm->currentByte = save;
return FALSE;
}
}
pByteStrm->currentByte = save;
return TRUE;
}
flag Xer_DecodeComplexElementStart(ByteStream* pByteStrm, const char* elementTag, XmlAttributeArray* pAttrs, int *pErrCode)
{
Token t;
if (NT(pByteStrm).TokenID != '<') {
*pErrCode = ERR_INVALID_XML_FILE; /* +++ */
return FALSE;
}
t = NT(pByteStrm);
if ( (t.TokenID != WORD_ID) || (strcmp(t.Value ,elementTag)!=0)) {
*pErrCode = ERR_INVALID_XML_FILE; /* +++ */
return FALSE;
}
if (!Xer_DecodeAttributes(pByteStrm, pAttrs, pErrCode))
return FALSE;
t = NT(pByteStrm);
if (t.TokenID =='/') {
if (NT(pByteStrm).TokenID == '>') {
return TRUE;
}
else {
*pErrCode = ERR_INVALID_XML_FILE; /* +++ */
return FALSE;
}
} else {
if (t.TokenID != '>') {
*pErrCode = ERR_INVALID_XML_FILE; /* +++ */
return FALSE;
}
}
return TRUE;
}
flag Xer_DecodeAttributes(ByteStream* pByteStrm, XmlAttributeArray* pAttrs, int *pErrCode)
{
Token t1;
Token t2;
while(LA(pByteStrm).TokenID != '>') {
t1 = NT(pByteStrm);
if (t1.TokenID != WORD_ID) {
*pErrCode = ERR_INVALID_XML_FILE; /* +++ */
return FALSE;
}
if (NT(pByteStrm).TokenID!='=') {
*pErrCode = ERR_INVALID_XML_FILE; /* +++ */
return FALSE;
}
if (NT(pByteStrm).TokenID!='"') {
*pErrCode = ERR_INVALID_XML_FILE; /* +++ */
return FALSE;
}
t2 = NT(pByteStrm);
if (t2.TokenID != WORD_ID) {
*pErrCode = ERR_INVALID_XML_FILE; /* +++ */
return FALSE;
}
if (NT(pByteStrm).TokenID!='"') {
*pErrCode = ERR_INVALID_XML_FILE; /* +++ */
return FALSE;
}
AddAttribute(pAttrs, t1.Value, t2.Value);
}
return TRUE;
}
typename Miniball<CoordAccessor>::NT
Miniball<CoordAccessor>::suboptimality () const
{
NT* l = new NT[d+1];
NT min_l = nt0;
l[0] = NT(1);
for (int i=ssize-1; i>0; --i) {
l[i] = f[i];
for (int k=ssize-1; k>i; --k)
l[i]-=a[k][i]*l[k];
if (l[i] < min_l) min_l = l[i];
l[0] -= l[i];
}
if (l[0] < min_l) min_l = l[0];
delete[] l;
if (min_l < nt0)
return -min_l;
return nt0;
}
void test_CV_volume(Polytope &HP, NT expected, NT tolerance=0.3)
{
typedef typename Polytope::PolytopePoint Point;
// Setup the parameters
int n = HP.dimension();
int walk_len=1;
int nexp=1, n_threads=1;
NT e=0.1, err=0.0000000001;
NT C=2.0,ratio,frac=0.1,delta=-1.0;
int rnum = std::pow(e,-2) * 400 * n * std::log(n);
int N = 500 * ((int) C) + ((int) (n * n / 2));
int W = 4*n*n+500;
ratio = 1.0-1.0/(NT(n));
unsigned seed = std::chrono::system_clock::now().time_since_epoch().count();
RNGType rng(seed);
boost::normal_distribution<> rdist(0,1);
boost::random::uniform_real_distribution<>(urdist);
boost::random::uniform_real_distribution<> urdist1(-1,1);
//compute the chebychev ball
std::pair<Point,NT> CheBall;
// Estimate the volume
std::cout << "Number type: " << typeid(NT).name() << std::endl;
NT vol = 0;
unsigned int const num_of_exp = 15;
for (unsigned int i=0; i<num_of_exp; i++)
{
CheBall = HP.ComputeInnerBall();
vars<NT, RNGType> var2(rnum,n,10 + n/10,n_threads,err,e,0,0,0,0,rng,
urdist,urdist1,-1.0,false,false,false,false,false,false,true,false);
vars_g<NT, RNGType> var1(n,walk_len,N,W,1,e,CheBall.second,rng,C,frac,ratio,delta,false,
false,false,false,false,false,false,true,false);
vol += volume_gaussian_annealing(HP, var1, var2, CheBall);
}
NT error = std::abs(((vol/num_of_exp)-expected))/expected;
std::cout << "Computed volume (average) = " << vol/num_of_exp << std::endl;
std::cout << "Expected volume = " << expected << std::endl;
CHECK(error < tolerance);
}
Float ConjugateGradients::do_optimize(unsigned int max_steps) {
IMP_OBJECT_LOG;
IMP_USAGE_CHECK(get_model(),
"Must set the model on the optimizer before optimizing");
clear_range_cache();
Vector<NT> x, dx;
int i;
// ModelData* model_data = get_model()->get_model_data();
FloatIndexes float_indices = get_optimized_attributes();
int n = float_indices.size();
if (n == 0) {
IMP_THROW("There are no optimizable degrees of freedom.", ModelException);
}
x.resize(n);
dx.resize(n);
// get initial state in x(n):
for (i = 0; i < n; i++) {
#ifdef IMP_CG_SCALE
x[i] = get_scaled_value(float_indices[i]); // scaled
#else
x[i] = get_value(float_indices[i]); // scaled
#endif
IMP_USAGE_CHECK(
!IMP::isnan(x[i]) && std::abs(x[i]) < std::numeric_limits<NT>::max(),
"Bad input to CG");
}
// Initialize optimization variables
int ifun = 0;
int nrst;
NT dg1, xsq, dxsq, alpha, step, u1, u2, u3, u4;
NT f = 0., dg = 1., w1 = 0., w2 = 0., rtst, bestf;
bool gradient_direction;
// dx holds the gradient at x
// search holds the search vector
// estimate holds the best current estimate to the minimizer
// destimate holds the gradient at the best current estimate
// resy holds the restart Y vector
// ressearch holds the restart search vector
Vector<NT> search, estimate, destimate, resy, ressearch;
search.resize(n);
estimate.resize(n);
destimate.resize(n);
resy.resize(n);
ressearch.resize(n);
/* Calculate the function and gradient at the initial
point and initialize nrst,which is used to determine
whether a Beale restart is being done. nrst=n means that this
iteration is a restart iteration. */
g20:
f = get_score(float_indices, x, dx);
if (get_stop_on_good_score() &&
get_scoring_function()->get_had_good_score()) {
estimate = x;
goto end;
}
ifun++;
nrst = n;
// this is a gradient, not restart, direction:
gradient_direction = true;
/* Calculate the initial search direction, the norm of x squared,
and the norm of dx squared. dg1 is the current directional
derivative, while xsq and dxsq are the squared norms. */
dg1 = xsq = 0.;
for (i = 0; i < n; i++) {
search[i] = -dx[i];
xsq += x[i] * x[i];
dg1 -= dx[i] * dx[i];
}
dxsq = -dg1;
/* Test if the initial point is the minimizer. */
if (dxsq <= cg_eps * cg_eps * std::max(NT(1.0), xsq)) {
goto end;
}
/* Begin the major iteration loop. */
g40:
update_states();
/* Begin linear search. alpha is the steplength. */
if (gradient_direction) {
/* This results in scaling the initial search vector to unity. */
alpha = 1.0 / sqrt(dxsq);
} else if (nrst == 1) {
/* Set alpha to 1.0 after a restart. */
alpha = 1.0;
} else {
/* Set alpha to the nonrestart conjugate gradient alpha. */
alpha = alpha * dg / dg1;
}
/* Store current best estimate for the score */
estimate = x;
destimate = dx;
/* Try to find a better score by linear search */
if (!line_search(x, dx, alpha, float_indices, ifun, f, dg, dg1, max_steps,
search, estimate)) {
/* If the line search failed, it was either because the maximum number
of iterations was exceeded, or the minimum could not be found */
if (static_cast<unsigned int>(ifun) > max_steps) {
goto end;
} else if (gradient_direction) {
goto end;
} else {
goto g20;
}
}
/* THE LINE SEARCH HAS CONVERGED. TEST FOR CONVERGENCE OF THE ALGORITHM. */
dxsq = xsq = 0.0;
for (i = 0; i < n; i++) {
dxsq += dx[i] * dx[i];
xsq += x[i] * x[i];
}
if (dxsq < threshold_) {
goto end;
}
/* Search continues. Set search(i)=alpha*search(i),the full step vector. */
for (i = 0; i < n; i++) {
search[i] *= alpha;
}
/* COMPUTE THE NEW SEARCH VECTOR;
TEST IF A POWELL RESTART IS INDICATED. */
rtst = 0.;
for (i = 0; i < n; ++i) {
rtst += dx[i] * destimate[i];
}
if (std::abs(rtst / dxsq) > .2) {
nrst = n;
}
/* If a restart is indicated, save the current d and y
as the Beale restart vectors and save d'y and y'y
in w1 and w2. */
if (nrst == n) {
ressearch = search;
w1 = w2 = 0.;
for (i = 0; i < n; i++) {
resy[i] = dx[i] - destimate[i];
w1 += resy[i] * resy[i];
w2 += search[i] * resy[i];
}
}
/* CALCULATE THE RESTART HESSIAN TIMES THE CURRENT GRADIENT. */
u1 = u2 = 0.0;
for (i = 0; i < n; i++) {
u1 -= ressearch[i] * dx[i] / w1;
u2 += ressearch[i] * dx[i] * 2.0 / w2 - resy[i] * dx[i] / w1;
}
u3 = w2 / w1;
for (i = 0; i < n; i++) {
estimate[i] = -u3 * dx[i] - u1 * resy[i] - u2 * ressearch[i];
}
/* If this is a restart iteration, estimate contains the new search vector. */
if (nrst != n) {
/* NOT A RESTART ITERATION. CALCULATE THE RESTART HESSIAN
TIMES THE CURRENT Y. */
u1 = u2 = u3 = 0.0;
for (i = 0; i < n; i++) {
u1 -= (dx[i] - destimate[i]) * ressearch[i] / w1;
u2 = u2 - (dx[i] - destimate[i]) * resy[i] / w1 +
2.0 * ressearch[i] * (dx[i] - destimate[i]) / w2;
u3 += search[i] * (dx[i] - destimate[i]);
}
step = u4 = 0.;
for (i = 0; i < n; i++) {
step =
(w2 / w1) * (dx[i] - destimate[i]) + u1 * resy[i] + u2 * ressearch[i];
u4 += step * (dx[i] - destimate[i]);
destimate[i] = step;
}
/* CALCULATE THE DOUBLY UPDATED HESSIAN TIMES THE CURRENT
GRADIENT TO OBTAIN THE SEARCH VECTOR. */
u1 = u2 = 0.0;
for (i = 0; i < n; i++) {
u1 -= search[i] * dx[i] / u3;
u2 +=
(1.0 + u4 / u3) * search[i] * dx[i] / u3 - destimate[i] * dx[i] / u3;
}
for (i = 0; i < n; i++) {
estimate[i] = estimate[i] - u1 * destimate[i] - u2 * search[i];
}
}
/* CALCULATE THE DERIVATIVE ALONG THE NEW SEARCH VECTOR. */
search = estimate;
dg1 = 0.0;
for (i = 0; i < n; i++) {
dg1 += search[i] * dx[i];
}
/* IF THE NEW DIRECTION IS NOT A DESCENT DIRECTION,STOP. */
if (dg1 <= 0.0) {
/* UPDATE NRST TO ASSURE AT LEAST ONE RESTART EVERY N ITERATIONS. */
if (nrst == n) {
nrst = 0;
}
nrst++;
gradient_direction = false;
goto g40;
}
/* ROUNDOFF HAS PRODUCED A BAD DIRECTION. */
end:
// If the 'best current estimate' is better than the current state, return
// that:
bestf = get_score(float_indices, estimate, destimate);
if (bestf < f) {
f = bestf;
} else {
// Otherwise, restore the current state x (note that we already have the
// state x and its derivatives dx, so it's rather inefficient to
// recalculate the score here, but it's cleaner)
f = get_score(float_indices, x, dx);
}
update_states();
return f;
}
void init_abc(const Point_E2<NT>& src, const Point_E2<NT>& tgt)
{
_a = + determinant(src.y(), NT(1.0), tgt.y(), NT(1.0));
_b = - determinant(src.x(), NT(1.0), tgt.x(), NT(1.0));
_c = + determinant(src.x(), src.y(), tgt.x(), tgt.y());
}
flag Xer_DecodePrimitiveElement(ByteStream* pByteStrm, const char* elementTag, char* pDecodedValue, int *pErrCode)
{
Token t;
char c = 0x0;
strcpy(pDecodedValue,"");
*pErrCode = ERR_INVALID_XML_FILE; /* +++ */
if (NT(pByteStrm).TokenID != '<') {
*pErrCode = ERR_INVALID_XML_FILE; /* +++ */
return FALSE;
}
t = NT(pByteStrm);
if ( (t.TokenID != WORD_ID) || (strcmp(t.Value ,elementTag)!=0)) {
*pErrCode = ERR_INVALID_XML_FILE; /* +++ */
return FALSE;
}
t = NT(pByteStrm);
if (t.TokenID =='/') {
if (NT(pByteStrm).TokenID == '>')
return TRUE;
else {
*pErrCode = ERR_INVALID_XML_FILE; /* +++ */
return FALSE;
}
} else {
if (t.TokenID != '>') {
*pErrCode = ERR_INVALID_XML_FILE; /* +++ */
return FALSE;
}
}
/*
t = NT(pByteStrm);
strcpy(pDecodedValue, t.Value);
if (t.TokenID != WORD_ID) {
*pErrCode = ERR_INVALID_XML_FILE;
return FALSE;
}
*/
while(c!='<')
{
if (!GetNextChar(pByteStrm, &c))
return FALSE;
if (c=='<') {
*pDecodedValue = 0x0;
pDecodedValue++;
break;
}
*pDecodedValue = c;
pDecodedValue++;
}
PushBackChar(pByteStrm);
if (NT(pByteStrm).TokenID!='<') {
*pErrCode = ERR_INVALID_XML_FILE; /* +++ */
return FALSE;
}
if (NT(pByteStrm).TokenID!='/') {
*pErrCode = ERR_INVALID_XML_FILE; /* +++ */
return FALSE;
}
t = NT(pByteStrm);
if ((t.TokenID != WORD_ID) || (strcmp(t.Value ,elementTag)!=0)) {
*pErrCode = ERR_INVALID_XML_FILE; /* +++ */
return FALSE;
}
if (NT(pByteStrm).TokenID!='>') {
*pErrCode = ERR_INVALID_XML_FILE; /* +++ */
return FALSE;
}
return TRUE;
}
inline std::vector<std::vector<NT> >
zero_matrix(const int d) {
return std::vector<std::vector<NT> > (d, std::vector<NT>(d, NT(0)));
}
int main(int const argc, char const * const * const argv)
{
Grammar g;
/*
g |= NT("goal") >>= NT("expr");
g |= NT("expr") >>= NT("term") + T("+") + NT("expr") | NT("term");
g |= NT("term") >>= NT("factor") + T("*") + NT("term") | NT("factor");
g |= NT("factor") >>= T("0") | T("1") | T("2") | T("3") | T("4") | T("5") | T("6") | T("7") | T("8") | T("9");
*/
g |= NT("goal") >>= NT("expr");
g |= NT("expr") >>= NT("term") + T("+") + NT("expr");
g |= NT("expr") >>= NT("term");
g |= NT("term") >>= NT("factor") + T("*") + NT("term");
g |= NT("term") >>= NT("factor");
g |= NT("factor") >>= T("id");
/*
g |= NT("E") >>= NT("E") + T("*") + NT("B");
g |= NT("E") >>= NT("E") + T("+") + NT("B");
g |= NT("E") >>= NT("B");
g |= NT("B") >>= T("0");
g |= NT("B") >>= T("1");
*/
//g |= NT("B") >>= T("hello") + T(" ") + T("world") | T("goodbye") + T(" ") + T("world");
/*
g |= NT("start_$") >>= NT("start");
g |= NT("start") >>= NT("start") + NT("expr");
g |= NT("start");
g |= NT("expr") >>= T("NR");
g |= NT("expr") >>= NT("expr") + T("+") + NT("expr");
*/
LRParser p(LRTable::Type::LR, 1, g);
LexText plt(TEST_FILEPATH);
#ifndef NDEBUG
std::cout << "====================----- Parsing -----====================" << std::endl;
#endif
if(p.parse(plt))
{
std::cout << "Parsing success." << std::endl;
}
#ifndef NDEBUG
std::cout << "==================================================" << std::endl;
#endif
#ifndef NDEBUG
std::cout << "====================----- " << TEST_FILEPATH << " -----====================" << std::endl;
LexText lt(TEST_FILEPATH);
Symbol s=END();
do
{
s = lt.pop();
std::cout << s.toString() << " ";
}
while(s != END());
std::cout << std::endl;
std::cout << "==================================================" << std::endl;
std::cout << "====================----- Grammar -----====================" << std::endl;
std::cout << g.toString();
std::cout << "==================================================" << std::endl;
#endif
return 0;
}
int NS_DIM_PREFIX BalanceGridRCB (MULTIGRID *theMG, int level)
{
HEAP *theHeap = theMG->theHeap;
GRID *theGrid = GRID_ON_LEVEL(theMG,level); /* balance grid of level */
LB_INFO *lbinfo;
ELEMENT *e;
int i, son;
INT MarkKey;
/* distributed grids cannot be redistributed by this function */
if (me!=master && FIRSTELEMENT(theGrid) != NULL)
{
printf("Error: Redistributing distributed grids using recursive coordinate bisection is not implemented!\n");
return (1);
}
if (me==master)
{
if (NT(theGrid) == 0)
{
UserWriteF("WARNING in BalanceGridRCB: no elements in grid\n");
return (1);
}
Mark(theHeap,FROM_TOP,&MarkKey);
lbinfo = (LB_INFO *)
GetMemUsingKey(theHeap, NT(theGrid)*sizeof(LB_INFO), FROM_TOP, MarkKey);
if (lbinfo==NULL)
{
Release(theHeap,FROM_TOP,MarkKey);
UserWrite("ERROR in BalanceGridRCB: could not allocate memory from the MGHeap\n");
return (1);
}
/* construct LB_INFO list */
for (i=0, e=FIRSTELEMENT(theGrid); e!=NULL; i++, e=SUCCE(e))
{
lbinfo[i].elem = e;
CenterOfMass(e, lbinfo[i].center);
}
/* apply coordinate bisection strategy */
theRCB(lbinfo, NT(theGrid), 0, 0, DimX, DimY, 0);
IFDEBUG(dddif,1)
for (e=FIRSTELEMENT(theGrid); e!=NULL; e=SUCCE(e))
{
UserWriteF("elem %08x has dest=%d\n",
DDD_InfoGlobalId(PARHDRE(e)), PARTITION(e));
}
ENDDEBUG
for (i=0, e=FIRSTELEMENT(theGrid); e!=NULL; i++, e=SUCCE(e))
{
InheritPartition (e);
}
Release(theHeap,FROM_TOP,MarkKey);
}
return 0;
}
NT unit_part_(const NT& x, CGAL::Integral_domain_without_division_tag){
// For many other types the only units are just -1 and +1.
return NT(int(CGAL::sign(x)));
}
void ArrangementDemoWindow::openDatFile( QString filename )
{
int index = this->ui->tabWidget->currentIndex( );
if ( index == -1 )
{
QMessageBox::information( this, "Oops", "Create a new tab first" );
return;
}
if ( filename.isNull( ) )
{
return;
}
std::ifstream inputFile( filename.toStdString( ).c_str( ) );
CGAL::Object arr = this->arrangements[ index ];
Seg_arr* seg;
Pol_arr* pol;
#ifdef CGAL_USE_CORE
Conic_arr* conic;
#endif
// Alg_seg_arr* alg;
// Creates an ofstream object named inputFile
if (! inputFile.is_open() ) // Always test file open
{
std::cerr << "Error opening input file" << std::endl;
return;
}
Pol_traits traits;
Pol_traits::Construct_curve_2 poly_const =
traits.construct_curve_2_object();
if ( CGAL::assign( pol, arr ) )
{
pol->clear( );
std::vector<Arr_pol_point_2> points;
unsigned int num_polylines;
inputFile >> num_polylines;
std::list<Arr_pol_2> pol_list;
unsigned int i;
for (i = 0; i < num_polylines; i++)
{
unsigned int num_segments;
inputFile >> num_segments;
points.clear();
unsigned int j;
for (j = 0; j < num_segments; j++)
{
int ix, iy;
inputFile >> ix >> iy;
points.push_back (Arr_pol_point_2(NT(ix),NT(iy)));
}
Arr_pol_2 curve = poly_const(points.begin(), points.end());
pol_list.push_back(curve);
}
CGAL::insert(*pol, pol_list.begin(), pol_list.end());
typedef ArrangementDemoTab< Pol_arr > TabType;
TabType* tab = static_cast< TabType* >( this->tabs[ index ] );
tab->setArrangement( pol );
}
else if ( CGAL::assign( seg, arr ) )
