/* of interpreted points to generate. */
static int
s_spline(Poly *poly, Vector dotout, Vector vecout, int closed, int ir,
Poly *filledp)
{
fpoint *newx, *newy;
int ptcount;
LLpoint *p;
int i;
ptcount = poly->pt_count;
if ((newx = begmem(ptcount*sizeof(fpoint) )) == NULL)
return(0);
if ((newy = begmem(ptcount*sizeof(fpoint) )) == NULL)
{
freemem(newx);
return(0);
}
p = poly->clipped_list;
for (i=0; i<ptcount; i++)
{
newx[i] = FVAL(p->x);
newy[i] = FVAL(p->y);
p = p->next;
}
if (alloc_spline_tab(ptcount))
{
do_spline(newx,newy,ptcount,ir,closed,
dotout,vecout, filledp);
free_spline_tab();
}
freemem(newx);
freemem(newy);
return(1);
}
void my_float_listener (PluginParam *param) {
GtkProgressBar *progress;
if (sdlGoom->config_win == 0) return;
progress = GTK_PROGRESS_BAR(param->user_data);
if (progress) {
if (FVAL(*param)<FMIN(*param))
FVAL(*param) = FMIN(*param);
if (FVAL(*param)>FMAX(*param))
FVAL(*param) = FMAX(*param);
gtk_progress_bar_update (progress, FVAL(*param));
}
}
/**
* Main methode of the FX.
*/
static void fs_apply(VisualFX *_this, Pixel *src, Pixel *dest, PluginInfo *info) {
int i;
int col;
FSData *data = (FSData*)_this->fx_data;
/* Get the new parameters values */
data->min_age = 1.0f - (float)IVAL(data->min_age_p)/100.0f;
data->max_age = 1.0f - (float)IVAL(data->max_age_p)/100.0f;
FVAL(data->nbStars_p) = (float)data->nbStars / (float)data->maxStars;
data->nbStars_p.change_listener(&data->nbStars_p);
data->maxStars = IVAL(data->nbStars_limit_p);
data->fx_mode = IVAL(data->fx_mode_p);
/* look for events */
if (info->sound.timeSinceLastGoom < 1) {
fs_sound_event_occured(_this, info);
if (goom_irand(info->gRandom,20)==1) {
IVAL(data->fx_mode_p) = goom_irand(info->gRandom,(LAST_FX*3));
data->fx_mode_p.change_listener(&data->fx_mode_p);
}
}
/* update particules */
for (i=0;i<data->nbStars;++i) {
updateStar(&data->stars[i]);
/* dead particule */
if (data->stars[i].age>=NCOL)
continue;
/* choose the color of the particule */
col = colval[(int)data->stars[i].age];
/* draws the particule */
info->methods.draw_line(dest,(int)data->stars[i].x,(int)data->stars[i].y,
(int)(data->stars[i].x-data->stars[i].vx*6),
(int)(data->stars[i].y-data->stars[i].vy*6),
col,
(int)info->screen.width, (int)info->screen.height);
info->methods.draw_line(dest,(int)data->stars[i].x,(int)data->stars[i].y,
(int)(data->stars[i].x-data->stars[i].vx*2),
(int)(data->stars[i].y-data->stars[i].vy*2),
col,
(int)info->screen.width, (int)info->screen.height);
}
/* look for dead particules */
for (i=0;i<data->nbStars;) {
if ((data->stars[i].x > info->screen.width + 64)
||((data->stars[i].vy>=0)&&(data->stars[i].y - 16*data->stars[i].vy > info->screen.height))
||(data->stars[i].x < -64)
||(data->stars[i].age>=NCOL)) {
data->stars[i] = data->stars[data->nbStars-1];
data->nbStars--;
}
else ++i;
}
}
object_t *eql (object_t * lst)
{
DOC ("Return t if both arguments are similar.");
REQ (lst, 2, c_sym ("eql"));
object_t *a = CAR (lst);
object_t *b = CAR (CDR (lst));
if (a->type != b->type)
return NIL;
switch (a->type)
{
case INT:
case FLOAT:
return num_eq (lst);
break;
case SYMBOL:
case CONS:
if (a == b)
return T;
break;
case STRING:
if (OSTRLEN (a) == OSTRLEN (b))
if (memcmp (OSTR (a), OSTR (b), OSTRLEN (a)) == 0)
return T;
break;
case VECTOR:
return NIL;
break;
case DETACH:
if (a == b)
return T;
break;
case CFUNC:
case SPECIAL:
if (FVAL (a) == FVAL (b))
return T;
break;
}
return NIL;
}
static void output()
{
// nRF51 refman 13.1 p.56: "Pin direction can be configured both in
// the DIR register as well as through the individual PIN_CNF[n]
// registers. A change in one register will automatically be
// reflected in the other register.
port::ptr()->DIRSET = bit::value;
// nRF51 refman 13.1 p.55: "The input buffer of a GPIO pin can be
// disconnected from the pin to enable power savings when the pin is
// not used as an input. Inputs must be connected in order to get a
// valid input value in the IN register and for the sense mechanism
// to get access to the pin.
SET_BITFIELD(port::ptr()->PIN_CNF[bit::shift], FVAL(GPIO_PIN_CNF_INPUT, DISCONNECT));
}
char *va_to_string(Value value)
{
switch (value.type) {
case VAL_TYPE_STR:
return strdup(SVAL(value));
case VAL_TYPE_BOOL:
return strdup(IVAL(value) ? "true" : "false");
case VAL_TYPE_INT:
{
char *num_str = malloc(VALUE_STR_CONVERT_SIZE);
if (num_str == NULL) {
return NULL;
}
snprintf(num_str, VALUE_STR_CONVERT_SIZE, "%ld", IVAL(value));
return num_str;
}
case VAL_TYPE_FLOAT:
{
char *num_str = malloc(VALUE_STR_CONVERT_SIZE);
if (num_str == NULL) {
return NULL;
}
snprintf(num_str, VALUE_STR_CONVERT_SIZE, "%f", FVAL(value));
return num_str;
}
case VAL_TYPE_REGEX:
return strdup(RVAL(value).regex_pattern);
case VAL_TYPE_SHELL_COMMAND:
return strdup(CVAL(value));
default:
assert(!"Invalid value type");
break;
}
return NULL;
}
object_t *cdoc_string (object_t * lst)
{
DOC ("Return doc-string for CFUNC or SPECIAL.");
REQ (lst, 1, c_sym ("cdoc-string"));
object_t *fo = CAR (lst);
int evaled = 0;
if (SYMBOLP (fo))
{
evaled = 1;
fo = eval (fo);
}
if (fo->type != CFUNC && fo->type != SPECIAL)
{
if (evaled)
obj_destroy (fo);
THROW (wrong_type, UPREF (fo));
}
cfunc_t f = FVAL (fo);
object_t *str = f (doc_string);
if (evaled)
obj_destroy (fo);
return str;
}
void evaluate_sound(gint16 data[2][512], SoundInfo *info) {
int i;
float difaccel;
float prevspeed;
/* find the max */
int incvar = 0;
for (i = 0; i < 512; i+=2) {
if (incvar < data[0][i])
incvar = data[0][i];
}
if (incvar > info->allTimesMax)
info->allTimesMax = incvar;
/* volume sonore */
info->volume = (float)incvar / (float)info->allTimesMax;
visual_mem_copy(info->samples[0], data[0], 512 * sizeof(short));
visual_mem_copy(info->samples[1], data[1], 512 * sizeof(short));
difaccel = info->accelvar;
info->accelvar = info->volume; /* accel entre 0 et 1 */
/* transformations sur la vitesse du son */
if (info->speedvar > 1.0f)
info->speedvar = 1.0f;
if (info->speedvar < 0.1f)
info->accelvar *= (1.0f - (float)info->speedvar);
else if (info->speedvar < 0.3f)
info->accelvar *= (0.9f - (float)(info->speedvar-0.1f)/2.0f);
else
info->accelvar *= (0.8f - (float)(info->speedvar-0.3f)/4.0f);
/* adoucissement de l'acceleration */
info->accelvar *= ACCEL_MULT;
if (info->accelvar < 0)
info->accelvar = 0;
difaccel = info->accelvar - difaccel;
if (difaccel < 0)
difaccel = - difaccel;
/* mise a jour de la vitesse */
prevspeed = info->speedvar;
info->speedvar = (info->speedvar + difaccel * 0.5f) / 2;
info->speedvar *= SPEED_MULT;
info->speedvar = (info->speedvar + 3.0f * prevspeed) / 4.0f;
if (info->speedvar < 0)
info->speedvar = 0;
if (info->speedvar > 1)
info->speedvar = 1;
/* temps du goom */
info->timeSinceLastGoom++;
info->timeSinceLastBigGoom++;
info->cycle++;
/* detection des nouveaux gooms */
if ((info->speedvar > (float)IVAL(info->biggoom_speed_limit_p)/100.0f)
&& (info->accelvar > info->bigGoomLimit)
&& (info->timeSinceLastBigGoom > BIG_GOOM_DURATION)) {
info->timeSinceLastBigGoom = 0;
}
if (info->accelvar > info->goom_limit) {
/* TODO: tester && (info->timeSinceLastGoom > 20)) { */
info->totalgoom ++;
info->timeSinceLastGoom = 0;
info->goomPower = info->accelvar - info->goom_limit;
}
if (info->accelvar > info->prov_max)
info->prov_max = info->accelvar;
if (info->goom_limit>1)
info->goom_limit=1;
/* toute les 2 secondes : vérifier si le taux de goom est correct
* et le modifier sinon.. */
if (info->cycle % 64 == 0) {
if (info->speedvar<0.01f)
info->goom_limit *= 0.91;
if (info->totalgoom > 4) {
info->goom_limit+=0.02;
}
if (info->totalgoom > 7) {
info->goom_limit*=1.03f;
info->goom_limit+=0.03;
}
if (info->totalgoom > 16) {
info->goom_limit*=1.05f;
info->goom_limit+=0.04;
}
if (info->totalgoom == 0) {
info->goom_limit = info->prov_max - 0.02;
}
if ((info->totalgoom == 1) && (info->goom_limit > 0.02))
info->goom_limit-=0.01;
info->totalgoom = 0;
info->bigGoomLimit = info->goom_limit * (1.0f + (float)IVAL(info->biggoom_factor_p)/500.0f);
info->prov_max = 0;
}
/* mise a jour des parametres pour la GUI */
FVAL(info->volume_p) = info->volume;
info->volume_p.change_listener(&info->volume_p);
FVAL(info->speed_p) = info->speedvar * 4;
info->speed_p.change_listener(&info->speed_p);
FVAL(info->accel_p) = info->accelvar;
info->accel_p.change_listener(&info->accel_p);
FVAL(info->goom_limit_p) = info->goom_limit;
info->goom_limit_p.change_listener(&info->goom_limit_p);
FVAL(info->goom_power_p) = info->goomPower;
info->goom_power_p.change_listener(&info->goom_power_p);
FVAL(info->last_goom_p) = 1.0-((float)info->timeSinceLastGoom/20.0f);
info->last_goom_p.change_listener(&info->last_goom_p);
FVAL(info->last_biggoom_p) = 1.0-((float)info->timeSinceLastBigGoom/40.0f);
info->last_biggoom_p.change_listener(&info->last_biggoom_p);
/* bigGoomLimit ==goomLimit*9/8+7 ? */
}
void
MAST::GCMMAOptimizationInterface::optimize() {
#if MAST_ENABLE_GCMMA == 1
// make sure that all processes have the same problem setup
_feval->sanitize_parallel();
int
N = _feval->n_vars(),
M = _feval->n_eq() + _feval->n_ineq(),
n_rel_change_iters = _feval->n_iters_relative_change();
libmesh_assert_greater(N, 0);
std::vector<Real> XVAL(N, 0.), XOLD1(N, 0.), XOLD2(N, 0.),
XMMA(N, 0.), XMIN(N, 0.), XMAX(N, 0.), XLOW(N, 0.), XUPP(N, 0.),
ALFA(N, 0.), BETA(N, 0.), DF0DX(N, 0.),
A(M, 0.), B(M, 0.), C(M, 0.), Y(M, 0.), RAA(M, 0.), ULAM(M, 0.),
FVAL(M, 0.), FAPP(M, 0.), FNEW(M, 0.), FMAX(M, 0.),
DFDX(M*N, 0.), P(M*N, 0.), Q(M*N, 0.), P0(N, 0.), Q0(N, 0.),
UU(M, 0.), GRADF(M, 0.), DSRCH(M, 0.), HESSF(M*(M+1)/2, 0.),
f0_iters(n_rel_change_iters);
std::vector<int> IYFREE(M, 0);
std::vector<bool> eval_grads(M, false);
Real
ALBEFA = 0.1,
GHINIT = 0.5,
GHDECR = 0.7,
GHINCR = 1.2,
F0VAL = 0.,
F0NEW = 0.,
F0APP = 0.,
RAA0 = 0.,
Z = 0.,
GEPS =_feval->tolerance();
/*C********+*********+*********+*********+*********+*********+*********+
C
C The meaning of some of the scalars and vectors in the program:
C
C N = Complex of variables x_j in the problem.
C M = Complex of constraints in the problem (not including
C the simple upper and lower bounds on the variables).
C ALBEFA = Relative spacing between asymptote and mode limit. Lower value
C will cause the move limit (alpha,beta) to move closer to asymptote
C values (l, u).
C GHINIT = Initial asymptote setting. For the first two iterations the
C asymptotes (l, u) are defined based on offsets from the design
C point as this fraction of the design variable bounds, ie.
C l_j = x_j^k - GHINIT * (x_j^max - x_j^min)
C u_j = x_j^k + GHINIT * (x_j^max - x_j^min)
C GHDECR = Fraction by which the asymptote is reduced for oscillating
C changes in design variables based on three consecutive iterations
C GHINCR = Fraction by which the asymptote is increased for non-oscillating
C changes in design variables based on three consecutive iterations
C INNMAX = Maximal number of inner iterations within each outer iter.
C A reasonable choice is INNMAX=10.
C ITER = Current outer iteration number ( =1 the first iteration).
C GEPS = Tolerance parameter for the constraints.
C (Used in the termination criteria for the subproblem.)
C
C XVAL(j) = Current value of the variable x_j.
C XOLD1(j) = Value of the variable x_j one iteration ago.
C XOLD2(j) = Value of the variable x_j two iterations ago.
C XMMA(j) = Optimal value of x_j in the MMA subproblem.
C XMIN(j) = Original lower bound for the variable x_j.
C XMAX(j) = Original upper bound for the variable x_j.
C XLOW(j) = Value of the lower asymptot l_j.
C XUPP(j) = Value of the upper asymptot u_j.
C ALFA(j) = Lower bound for x_j in the MMA subproblem.
C BETA(j) = Upper bound for x_j in the MMA subproblem.
C F0VAL = Value of the objective function f_0(x)
C FVAL(i) = Value of the i:th constraint function f_i(x).
C DF0DX(j) = Derivative of f_0(x) with respect to x_j.
C FMAX(i) = Right hand side of the i:th constraint.
C DFDX(k) = Derivative of f_i(x) with respect to x_j,
C where k = (j-1)*M + i.
C P(k) = Coefficient p_ij in the MMA subproblem, where
C k = (j-1)*M + i.
C Q(k) = Coefficient q_ij in the MMA subproblem, where
C k = (j-1)*M + i.
C P0(j) = Coefficient p_0j in the MMA subproblem.
C Q0(j) = Coefficient q_0j in the MMA subproblem.
C B(i) = Right hand side b_i in the MMA subproblem.
C F0APP = Value of the approximating objective function
C at the optimal soultion of the MMA subproblem.
C FAPP(i) = Value of the approximating i:th constraint function
C at the optimal soultion of the MMA subproblem.
C RAA0 = Parameter raa_0 in the MMA subproblem.
C RAA(i) = Parameter raa_i in the MMA subproblem.
C Y(i) = Value of the "artificial" variable y_i.
C Z = Value of the "minimax" variable z.
C A(i) = Coefficient a_i for the variable z.
C C(i) = Coefficient c_i for the variable y_i.
C ULAM(i) = Value of the dual variable lambda_i.
C GRADF(i) = Gradient component of the dual objective function.
C DSRCH(i) = Search direction component in the dual subproblem.
C HESSF(k) = Hessian matrix component of the dual function.
C IYFREE(i) = 0 for dual variables which are fixed to zero in
C the current subspace of the dual subproblem,
C = 1 for dual variables which are "free" in
C the current subspace of the dual subproblem.
C
C********+*********+*********+*********+*********+*********+*********+*/
/*
* The USER should now give values to the parameters
* M, N, GEPS, XVAL (starting point),
* XMIN, XMAX, FMAX, A and C.
*/
// _initi(M,N,GEPS,XVAL,XMIN,XMAX,FMAX,A,C);
// Assumed: FMAX == A
_feval->_init_dvar_wrapper(XVAL, XMIN, XMAX);
// set the value of C[i] to be very large numbers
Real max_x = 0.;
for (unsigned int i=0; i<N; i++)
if (max_x < fabs(XVAL[i]))
max_x = fabs(XVAL[i]);
std::fill(C.begin(), C.end(), std::max(1.e0*max_x, _constr_penalty));
int INNMAX=_max_inner_iters, ITER=0, ITE=0, INNER=0, ICONSE=0;
/*
* The outer iterative process starts.
*/
bool terminate = false, inner_terminate=false;
while (!terminate) {
ITER=ITER+1;
ITE=ITE+1;
/*
* The USER should now calculate function values and gradients
* at XVAL. The result should be put in F0VAL,DF0DX,FVAL,DFDX.
*/
std::fill(eval_grads.begin(), eval_grads.end(), true);
_feval->_evaluate_wrapper(XVAL,
F0VAL, true, DF0DX,
FVAL, eval_grads, DFDX);
if (ITER == 1)
// output the very first iteration
_feval->_output_wrapper(0, XVAL, F0VAL, FVAL, true);
/*
* RAA0,RAA,XLOW,XUPP,ALFA and BETA are calculated.
*/
raasta_(&M, &N, &RAA0, &RAA[0], &XMIN[0], &XMAX[0], &DF0DX[0], &DFDX[0]);
asympg_(&ITER, &M, &N, &ALBEFA, &GHINIT, &GHDECR, &GHINCR,
&XVAL[0], &XMIN[0], &XMAX[0], &XOLD1[0], &XOLD2[0],
&XLOW[0], &XUPP[0], &ALFA[0], &BETA[0]);
/*
* The inner iterative process starts.
*/
// write the asymptote data for the inneriterations
_output_iteration_data(ITER, XVAL, XMIN, XMAX, XLOW, XUPP, ALFA, BETA);
INNER=0;
inner_terminate = false;
while (!inner_terminate) {
/*
* The subproblem is generated and solved.
*/
mmasug_(&ITER, &M, &N, &GEPS, &IYFREE[0], &XVAL[0], &XMMA[0],
&XMIN[0], &XMAX[0], &XLOW[0], &XUPP[0], &ALFA[0], &BETA[0],
&A[0], &B[0], &C[0], &Y[0], &Z, &RAA0, &RAA[0], &ULAM[0],
&F0VAL, &FVAL[0], &F0APP, &FAPP[0], &FMAX[0], &DF0DX[0], &DFDX[0],
&P[0], &Q[0], &P0[0], &Q0[0], &UU[0], &GRADF[0], &DSRCH[0], &HESSF[0]);
/*
* The USER should now calculate function values at XMMA.
* The result should be put in F0NEW and FNEW.
*/
std::fill(eval_grads.begin(), eval_grads.end(), false);
_feval->_evaluate_wrapper(XMMA,
F0NEW, false, DF0DX,
FNEW, eval_grads, DFDX);
if (INNER >= INNMAX) {
libMesh::out
<< "** Max Inner Iter Reached: Terminating! Inner Iter = "
<< INNER << std::endl;
inner_terminate = true;
}
else {
/*
* It is checked if the approximations were conservative.
*/
conser_( &M, &ICONSE, &GEPS, &F0NEW, &F0APP, &FNEW[0], &FAPP[0]);
if (ICONSE == 1) {
libMesh::out
<< "** Conservative Solution: Terminating! Inner Iter = "
<< INNER << std::endl;
inner_terminate = true;
}
else {
/*
* The approximations were not conservative, so RAA0 and RAA
* are updated and one more inner iteration is started.
*/
INNER=INNER+1;
raaupd_( &M, &N, &GEPS, &XMMA[0], &XVAL[0],
&XMIN[0], &XMAX[0], &XLOW[0], &XUPP[0],
&F0NEW, &FNEW[0], &F0APP, &FAPP[0], &RAA0, &RAA[0]);
}
}
}
/*
* The inner iterative process has terminated, which means
* that an outer iteration has been completed.
* The variables are updated so that XVAL stands for the new
* outer iteration point. The fuction values are also updated.
*/
xupdat_( &N, &ITER, &XMMA[0], &XVAL[0], &XOLD1[0], &XOLD2[0]);
fupdat_( &M, &F0NEW, &FNEW[0], &F0VAL, &FVAL[0]);
/*
* The USER may now write the current solution.
*/
_feval->_output_wrapper(ITER, XVAL, F0VAL, FVAL, true);
f0_iters[(ITE-1)%n_rel_change_iters] = F0VAL;
/*
* One more outer iteration is started as long as
* ITE is less than MAXITE:
*/
if (ITE == _feval->max_iters()) {
libMesh::out
<< "GCMMA: Reached maximum iterations, terminating! "
<< std::endl;
terminate = true;
}
// relative change in objective
bool rel_change_conv = true;
Real f0_curr = f0_iters[n_rel_change_iters-1];
for (unsigned int i=0; i<n_rel_change_iters-1; i++) {
if (f0_curr > sqrt(GEPS))
rel_change_conv = (rel_change_conv &&
fabs(f0_iters[i]-f0_curr)/fabs(f0_curr) < GEPS);
else
rel_change_conv = (rel_change_conv &&
fabs(f0_iters[i]-f0_curr) < GEPS);
}
if (rel_change_conv) {
libMesh::out
<< "GCMMA: Converged relative change tolerance, terminating! "
<< std::endl;
terminate = true;
}
}
#endif //MAST_ENABLE_GCMMA == 1
}
static void pulldown()
{
volatile uint32_t *reg = &port::ptr()->PIN_CNF[bit::shift];
SET_BITFIELD(*reg, FVAL(GPIO_PIN_CNF_PULL, PULLDOWN));
}
static void pulloff()
{
volatile uint32_t *reg = &port::ptr()->PIN_CNF[bit::shift];
SET_BITFIELD(*reg, FVAL(GPIO_PIN_CNF_PULL, DISABLED));
}
static void input()
{
// See output() comments
SET_BITFIELD(port::ptr()->PIN_CNF[bit::shift], FVAL(GPIO_PIN_CNF_INPUT, CONNECT));
port::ptr()->DIRCLR = bit::value;
}
