/* type:
* 2 - function parameters changed
* 1 - just modifiers changed
* 0 - all intact, redrawing previous
*/
void draw(int type, int color) {
int i;
MTYPE x;
if(type==2) {
f_h = f_max(&toPlot, lb, rb) - f_min(&toPlot, lb, rb);
ymin = f_min(&toPlot, lb, rb);
ymax = f_max(&toPlot, lb, rb);
}
if(type>=1) {
pixels_in_cell = MIN( height/f_h, width/(rb-lb) );
pixels_in_cell *= shift_pix;
}
if( color==0 )
XSetForeground(dpy, cont, white);
/* drawing spline */
if(color!=0)
XSetForeground(dpy, cont, red.pixel);
for(x=lb; x<rb; x+=0.05)
XDrawLine(dpy, win, cont, (x-lb)*pixels_in_cell + shift_x, F(x,1), (x+0.05-lb)*pixels_in_cell + shift_x, F(x+0.05,1));
sprintf(buffer, "spline function");
XDrawString(dpy, win, cont,
20, 40,
buffer, strlen(buffer));
/* original function */
if(color!=0)
XSetForeground(dpy, cont, green.pixel);
for(x=lb; x<rb; x+=0.05)
XDrawLine(dpy, win, cont, (x-lb)*pixels_in_cell + shift_x, F(x,0), (x+0.05-lb)*pixels_in_cell + shift_x, F(x+0.05,0));
sprintf(buffer, "initial function");
XDrawString(dpy, win, cont,
20, 20,
buffer, strlen(buffer));
/* points of intersection */
if(color!=0)
XSetForeground(dpy, cont, blue.pixel);
for(i=0; i<=k; i++)
XFillArc(dpy, win, cont,
(xx[i]-lb)*pixels_in_cell + shift_x - CDIAM/2,
(ymax - fx[i])*pixels_in_cell + shift_y + height/2 - CDIAM/2,
CDIAM, CDIAM,
0, 360*64);
XFlush(dpy);
}
/* Compute the global maximum of all velocities / accelerations. */
double
compute_norm (const fish_t* fish, const int n_fish)
{
int i;
double max_norm = 0.0;
for (i = 0; i < n_fish; ++i) {
max_norm = f_max (max_norm, fabs(fish[i].vx));
max_norm = f_max (max_norm, fabs(fish[i].vy));
max_norm = f_max (max_norm, fabs(fish[i].ax));
max_norm = f_max (max_norm, fabs(fish[i].ay));
}
return max_norm;
}
void durations(SPN *ps, ACOUSTIC *as)
{
int durdist;
int interdist;
float multiplier_i;
float proportion;
int i;
int j;
for(i=0;i<ps->p_sz;i++)
ps->scale[i] = (float)ps->duration[i] /
(float)((ps->pb[i+1]-ps->pb[i])*FR_SZ);
ps->cum_dur[0] = 0; /* do cumulative at same time */
for(i=0,j=0;i<as->f_sz;i++) {
if(i == ps->pb[j]) {
if(j != 0) {
ps->cum_dur[j] = ps->duration[j-1] + ps->cum_dur[j-1];
}
as->duration[i] = FR_SZ;
ps->duration[j] = FR_SZ; /* saves adding later */
j++;
} else {
durdist = min(i-ps->pb[j-1],ps->pb[j]-i);
interdist = ps->pb[j] - ps->pb[j-1];
proportion = (float)durdist/(float)interdist;
multiplier_i = f_max(0.01,4.0*proportion*(ps->scale[j-1]-1.0)+1.0);
as->duration[i] = FR_SZ*multiplier_i;
ps->duration[j-1] += as->duration[i];
}
}
}
static void runAddingFadDelay(LADSPA_Handle instance, unsigned long sample_count) {
FadDelay *plugin_data = (FadDelay *)instance;
LADSPA_Data run_adding_gain = plugin_data->run_adding_gain;
/* Delay (seconds) (float value) */
const LADSPA_Data delay = *(plugin_data->delay);
/* Feedback (dB) (float value) */
const LADSPA_Data fb_db = *(plugin_data->fb_db);
/* Input (array of floats of length sample_count) */
const LADSPA_Data * const input = plugin_data->input;
/* Output (array of floats of length sample_count) */
LADSPA_Data * const output = plugin_data->output;
LADSPA_Data * buffer = plugin_data->buffer;
unsigned long buffer_mask = plugin_data->buffer_mask;
unsigned long buffer_size = plugin_data->buffer_size;
LADSPA_Data last_in = plugin_data->last_in;
int last_phase = plugin_data->last_phase;
float phase = plugin_data->phase;
long sample_rate = plugin_data->sample_rate;
#line 51 "fad_delay_1192.xml"
long int pos;
float increment = (float)buffer_size / ((float)sample_rate *
f_max(fabs(delay), 0.01));
float lin_int, lin_inc;
int track;
int fph;
LADSPA_Data out;
const float fb = DB_CO(fb_db);
for (pos = 0; pos < sample_count; pos++) {
fph = f_round(floor(phase));
last_phase = fph;
lin_int = phase - (float)fph;
out = LIN_INTERP(lin_int, buffer[(fph+1) & buffer_mask],
buffer[(fph+2) & buffer_mask]);
phase += increment;
lin_inc = 1.0f / (floor(phase) - last_phase + 1);
lin_inc = lin_inc > 1.0f ? 1.0f : lin_inc;
lin_int = 0.0f;
for (track = last_phase; track < phase; track++) {
lin_int += lin_inc;
buffer[track % buffer_size] = out * fb +
LIN_INTERP(lin_int, last_in, input[pos]);
}
last_in = input[pos];
buffer_write(output[pos], out);
if (phase >= buffer_size) {
phase -= buffer_size;
}
}
// Store current phase in instance
plugin_data->phase = phase;
plugin_data->last_phase = last_phase;
plugin_data->last_in = last_in;
}
static void runFadDelay(LV2_Handle instance, uint32_t sample_count)
{
FadDelay *plugin_data = (FadDelay *)instance;
const float delay = *(plugin_data->delay);
const float fb_db = *(plugin_data->fb_db);
const float * const input = plugin_data->input;
float * const output = plugin_data->output;
float * buffer = plugin_data->buffer;
float phase = plugin_data->phase;
int last_phase = plugin_data->last_phase;
float last_in = plugin_data->last_in;
unsigned long buffer_size = plugin_data->buffer_size;
unsigned long buffer_mask = plugin_data->buffer_mask;
long sample_rate = plugin_data->sample_rate;
long int pos;
float increment = (float)buffer_size / ((float)sample_rate *
f_max(fabs(delay), 0.01));
float lin_int, lin_inc;
int track;
int fph;
float out;
const float fb = DB_CO(fb_db);
for (pos = 0; pos < sample_count; pos++) {
fph = f_round(floor(phase));
last_phase = fph;
lin_int = phase - (float)fph;
out = LIN_INTERP(lin_int, buffer[(fph+1) & buffer_mask],
buffer[(fph+2) & buffer_mask]);
phase += increment;
lin_inc = 1.0f / (floor(phase) - last_phase + 1);
lin_inc = lin_inc > 1.0f ? 1.0f : lin_inc;
lin_int = 0.0f;
for (track = last_phase; track < phase; track++) {
lin_int += lin_inc;
buffer[track % buffer_size] = out * fb +
LIN_INTERP(lin_int, last_in, input[pos]);
}
last_in = input[pos];
buffer_write(output[pos], out);
if (phase >= buffer_size) {
phase -= buffer_size;
}
}
// Store current phase in instance
plugin_data->phase = phase;
plugin_data->last_phase = last_phase;
plugin_data->last_in = last_in;
}
bool TestExtMath::test_max() {
VS(f_max(4, 2, CREATE_VECTOR4(3, 1, 6, 7)), 7);
VS(f_max(0, CREATE_VECTOR3(2, 4, 5)), 5);
VS(f_max(1, 0, CREATE_VECTOR1("hello")), 0);
VS(f_max(1, "hello", CREATE_VECTOR1(0)), "hello");
VS(f_max(1, "hello", CREATE_VECTOR1(-1)), "hello");
VS(f_max(1, CREATE_VECTOR3(2, 4, 8),
CREATE_VECTOR1(CREATE_VECTOR3(2, 5, 1))),
CREATE_VECTOR3(2, 5, 1));
VS(f_max(1, "string", CREATE_VECTOR2(CREATE_VECTOR3(2, 5, 7), 42)),
CREATE_VECTOR3(2, 5, 7));
VS(f_max(1, CREATE_MAP1(1, "1236150163")), "1236150163");
return Count(true);
}
/****************************************************************************
Desc: Searches for an available DRN in the dictionary container.
Differs from FlmReserveNextDrn in that it will attempt to reuse
dictionary DRNS.
****************************************************************************/
FLMEXP RCODE FLMAPI FlmFindUnusedDictDrn(
HFDB hDb,
FLMUINT uiStartDrn,
FLMUINT uiEndDrn,
FLMUINT * puiDrnRV)
{
RCODE rc;
FDB * pDb = (FDB *)hDb;
FLMBOOL bIgnore = FALSE;
FDICT * pDict;
FLMUINT uiCurrDrn;
FLMUINT uiStopSearch;
if( RC_BAD( rc = fdbInit( pDb, FLM_UPDATE_TRANS, FDB_TRANS_GOING_OK,
0, &bIgnore)))
{
*puiDrnRV = (FLMUINT)-1;
goto Exit;
}
// Search through the ITT table looking for the first occurance
// of ITT_EMPTY_SLOT
pDict = pDb->pDict;
uiCurrDrn = f_max( uiStartDrn, 1);
uiStopSearch = f_min( uiEndDrn, pDict->uiIttCnt - 1);
while (uiCurrDrn <= uiStopSearch)
{
if (pDict->pIttTbl[ uiCurrDrn].uiType == ITT_EMPTY_SLOT)
{
break;
}
else
{
uiCurrDrn++;
}
}
if (uiCurrDrn > uiEndDrn)
{
rc = RC_SET( FERR_NO_MORE_DRNS);
goto Exit;
}
*puiDrnRV = uiCurrDrn;
Exit:
fdbExit( pDb);
return( rc);
}
void Compressor::process(int frames, float* ip, float *op)
{
const float ga = _attack < 2.0f ? 0.0f : as[f_round(_attack * 0.001f * (float)(A_TBL-1))];
const float gr = as[f_round(_release * 0.001f * (float)(A_TBL-1))];
const float rs = (_ratio - 1.0f) / _ratio;
const float mug = db2lin(_makeupGain);
const float knee_min = db2lin(_threshold - _knee);
const float knee_max = db2lin(_threshold + _knee);
const float ef_a = ga * 0.25f;
const float ef_ai = 1.0f - ef_a;
for (int pos = 0; pos < frames; pos++) {
const float la = fabs(ip[pos * 2]);
const float ra = fabs(ip[pos * 2 + 1]);
const float lev_in = f_max(la, ra);
sum += lev_in * lev_in;
if (amp > env_rms)
env_rms = env_rms * ga + amp * (1.0f - ga);
else
env_rms = env_rms * gr + amp * (1.0f - gr);
round_to_zero(&env_rms);
if (lev_in > env_peak)
env_peak = env_peak * ga + lev_in * (1.0f - ga);
else
env_peak = env_peak * gr + lev_in * (1.0f - gr);
round_to_zero(&env_peak);
if ((count++ & 3) == 3) {
amp = rms.process(sum * 0.25f);
sum = 0.0f;
if (qIsNaN(env_rms)) // This can happen sometimes, but I don't know why
env_rms = 0.0f;
env = LIN_INTERP(rms_peak, env_rms, env_peak);
if (env <= knee_min)
gain_t = 1.0f;
else if (env < knee_max) {
const float x = -(_threshold - _knee - lin2db(env)) / _knee;
gain_t = db2lin(-_knee * rs * x * x * 0.25f);
}
else
gain_t = db2lin((_threshold - lin2db(env)) * rs);
}
gain = gain * ef_a + gain_t * ef_ai;
op[pos * 2] = ip[pos * 2] * gain * mug;
op[pos * 2+1] = ip[pos * 2 + 1] * gain * mug;
}
// printf("gain %f\n", gain);
// amplitude = lin2db(env);
// gain_red = lin2db(gain);
}
int main (){
int a, b, z;
printf("Input a : ");
scanf("%d", &a);
printf("Input b : ");
scanf("%d", &b);
z = f_max(a, b);
printf("Max is : %d ", z);
getch();
}
//Fonction min trouve le minimum des noeuds fils
int f_min(Pion *etat, int profondeur, int joueur, int *la, int *ca, int *lb, int *cb)
{
int minimumVal = INFINI;
if (profondeur == 0 || f_gagnant() != 0)
{
if (f_test_mouvement(etat, *la, *ca, *lb, *cb, joueur) == 0)
{
return f_eval(etat, joueur);
}
else
{
return -minimumVal;
}
}
for (int i = 0; i < NB_LIGNES; i++){
for (int j = 0; j < NB_COLONNES; j++){
for (int a = -1; a <= 1; a++){
for (int b = -1; b <= 1; b++){
Pion *nouveauJeu = f_raz_plateau();
f_copie_plateau(etat, nouveauJeu);
if (f_test_mouvement(nouveauJeu, i, j, i + a, j + b, joueur) == 0)
{
f_bouge_piece(nouveauJeu, i, j, i + a, j + b, joueur);
int max = f_max(nouveauJeu, profondeur - 1, joueur, la, ca, lb, cb);
if (max < minimumVal){
minimumVal = max;
*la = i;
*ca = j;
*lb = i + a;
*cb = j + b;
}
}
free(nouveauJeu);
}
}
}
}
return minimumVal;
}
/**
* Calcule et joue le meilleur cout
* */
void f_IA(int joueur)
{
#ifdef DEBUG
printf("dbg: entering %s %d\n", __FUNCTION__, __LINE__);
#endif
/** A remplir **/
int la = 0, ca = 0, lb = 0, cb = 0;
int ret = f_max(plateauDeJeu, PROFONDEUR_MAX, joueur, &la, &ca, &lb, &cb);
printf("Mouvement du joueur %d : %c%d-%c%d\nValeur : %d\n", joueur, f_convert_int2char(ca), la, f_convert_int2char(cb), lb, ret);
f_bouge_piece(plateauDeJeu, la, ca, lb, cb, joueur);
#ifdef DEBUG
printf("dbg: exiting %s %d\n", __FUNCTION__, __LINE__);
#endif
}
int main(int argc, char **argv) {
double sum_total_timer, total_timer = 0.0;
double sum_gather_timer, gather_timer = 0.0;
double sum_mpi_timer, mpi_timer = 0.0;
double curr_time;
double output_time;
double dt = 0.0;
double local_max_norm = 0.1;
double max_norm = 0;
int steps;
int* fish_off;
int* n_fish_split;
MPI_Init (&argc, &argv);
#ifdef TRACE_WITH_VAMPIR
VT_symdef(TRACE_LOCAL_COMP, "Local computation", "Computation");
VT_symdef(TRACE_FISH_GATHER, "Gathering to 0", "Communication");
VT_symdef(TRACE_MAX_NORM, "Collecting max norm", "Communication");
VT_symdef(TRACE_OUTPUT, "Output", "Output");
#endif
MPI_Comm_size (comm, &n_proc);
MPI_Comm_rank (comm, &rank);
make_fishtype (&fishtype);
get_options(argc, argv);
srand48(clock());
//MPI_Allreduce (&local_max_norm, &max_norm, 1, MPI_DOUBLE, MPI_MAX, comm);
//printf("local_max_norm = %g, max_norm = %g\n", local_max_norm, max_norm);
#ifdef TRACE_WITH_VAMPIR
VT_traceoff();
#endif
if (output_filename) {
outputp = 1;
if (0 == rank) {
output_fp = fopen(output_filename, "w");
if (output_fp == NULL) {
printf("Could not open %s for output\n", output_filename);
exit(1);
}
fprintf(output_fp, "n_fish: %d\n", n_fish);
}
}
fish_off = malloc ( (n_proc+1) * sizeof(int) );
n_fish_split = malloc ( (n_proc) * sizeof(int) );
//split each fish to different processors.
//fish_off: offset index of the fish in that processor
//n_fish_split is the # of fish in each processor
//ALL FUNCTIONALITY OF split_fish SHOULD BE DONE AFTER init_fish
//split_fish (n_proc, fish_off, n_fish_split);
//n_local_fish = n_fish_split[rank];
/*
All fish are generated on proc 0 to ensure same random numbers.
(Yes, the circle case could be parallelized. Feel free to
do it.)
*/
//split physical box sizes
row = (int)sqrt((double)n_proc);
column = n_proc/row;
double rowSep = WALL_SEP/row;
double columnSep = WALL_SEP/column;
int rowIndex = rank / column;
int columnIndex = rank % column;
topBound = rowSep * rowIndex;
bottomBound = topBound + rowSep;
leftBound = columnSep * columnIndex;
rightBound = leftBound + columnSep;
assert(n_proc % row == 0);
// Add n_proc # of arrays each holding ID of local fishes
fish_t fishProc[n_proc][n_fish];
int n_fish_proc[n_proc];
int k;
for (k = 0; k < n_proc; k++) n_fish_proc[k] = 0;
//////////////////////////////////
init_fish (rank, fish_off, n_fish_split, row, column, fishProc, n_fish_proc);
// distribute initial conditions to all processes
if (rank == 0) {
local_fish = fishProc[0];
n_local_fish = n_fish_proc[0];
// Functionality of MPI_Scatterv is done here with Isends
//MPI_Request request[n_proc-1];
int mesTag = 0;
MPI_Request *req;
for (k = 1; k < n_proc; ++k) {
//printf("n_fish_proc[%d], %d\n", k, n_fish_proc[k]);
MPI_Isend(fishProc[k], n_fish_proc[k], fishtype, k, mesTag, comm, req);
}
} else {
MPI_Status status;
// Processors of rank != 0 receives.
MPI_Recv( local_fish, n_fish, fishtype, 0, MPI_ANY_TAG, comm, &status);
MPI_Get_count(&status, fishtype, &n_local_fish);
}
printf("rank[%d], n_local_fish = %d\n", rank, n_local_fish);
///*
//MPI_Scatterv (fish, n_fish_split, fish_off, fishtype,
// local_fish, n_local_fish, fishtype,
// 0, comm);
//*/
#ifdef TRACE_WITH_VAMPIR
tracingp = 1;
VT_traceon();
#endif
start_mpi_timer(&total_timer);
for (output_time = 0.0, curr_time = 0.0, steps = 0;
curr_time <= end_time && steps < max_steps;
curr_time += dt, ++steps) {
#ifdef TRACE_WITH_VAMPIR
if (steps >= STEPS_TO_TRACE) {
tracingp = 0; VT_traceoff();
}
#endif
trace_begin(TRACE_FISH_GATHER);
start_mpi_timer (&gather_timer);
start_mpi_timer (&mpi_timer);
/*
Pull in all the fish. Obviously, this is not a good idea.
You will be greatly expanding this one line...
However, feel free to waste memory when producing output.
If you're dumping fish to a file, go ahead and do an
Allgatherv _in the output steps_ if you want. Or you could
pipeline dumping the fish.
MPI_Allgatherv (local_fish, n_local_fish, fishtype,
fish, n_fish_split, fish_off, fishtype, comm);
*/
//MPI_Request* sendReq, recvReq;
// Set aside buffer for fish received from other processes.
/*
for (j = 0; j < NUM_NEIGHBOR; ++j) {
//FIXME: which neighbors does not exist?
if (rankNeighbor[j] >= 0) {
MPI_Isend(local_fish, n_local_fish, fishtype, rankNeighbor[j], MPI_ANY_TAG, comm, &sendReqArray);
MPI_Irecv(impact_fish, n_fish, fishtype, rankNeighbor[NUM_NEIGHBOR - j], MPI_ANY_TAG, comm, &sendReqArray);
MPI_Wait(recvReq, MPI_STATUS_IGNORE);
interact_fish_mpi(local_fish, n_local_fish, impact_fish, sizeof(impact_fish));
}
}
*/
// get migrate fish
// send migrate fish
// receive migrate fish
// update local fish
// get impact fish
// send impact fish
// receive impact fish
// interact impact fish
// interact local fish
// move
MPI_Request sendReqArray[NUM_NEIGHBOR];
MPI_Request recvReqArray[NUM_NEIGHBOR];
fish_t receive_impact_fish[NUM_NEIGHBOR][n_fish];
int n_receive_impact_fish[NUM_NEIGHBOR];
fish_t receive_migrate_fish[NUM_NEIGHBOR][n_fish];
int n_receive_migrate_fish[NUM_NEIGHBOR];
int n_send_impact_fish[NUM_NEIGHBOR];
fish_t* send_impact_fish[NUM_NEIGHBOR];
int n_send_migrate_fish[NUM_NEIGHBOR];
fish_t* send_migrate_fish[NUM_NEIGHBOR];
get_interacting_fish( local_fish, n_local_fish, send_migrate_fish, n_send_migrate_fish, 1);
int tmp;
for (tmp = 0; tmp < NUM_NEIGHBOR; tmp++) {
printf("rank[%d], iter[%d] ------- get [%d] migrate fish for neig[%d]. \n", rank, iter, n_send_migrate_fish[tmp], tmp);
}
Isend_receive_fish(send_migrate_fish, n_send_migrate_fish, receive_migrate_fish, n_fish, sendReqArray, recvReqArray);
wait_for_fish(recvReqArray, n_receive_migrate_fish);
// FIXME: Have not implement update on local fish.
//update_local_fish();
get_interacting_fish(local_fish, n_local_fish, send_impact_fish, n_send_impact_fish, 0);
for (tmp = 0; tmp < NUM_NEIGHBOR; tmp++) {
printf("rank[%d], iter[%d] ------- get [%d] impact fish for neig[%d]. \n", rank, iter, n_send_impact_fish[tmp], tmp);
}
Isend_receive_fish(send_impact_fish, n_send_impact_fish, receive_impact_fish, n_fish, sendReqArray, recvReqArray);
wait_for_fish(recvReqArray, n_receive_impact_fish);
int index;
for (index = 0; index < NUM_NEIGHBOR; index++) {
if (n_receive_impact_fish[index] > 0) {
interact_fish_mpi(local_fish, n_local_fish, receive_impact_fish[index], n_receive_impact_fish[index]);
}
}
//*/
// make sure we are sending and receiving the same # msg.
//assert(dbg == 0);
// While waiting, interact with fish in its own pocket first
printf("rank[%d], iter[%d] ------- interact [%d] local fishes\n", rank, iter, n_local_fish);
interact_fish_mpi(local_fish, n_local_fish, local_fish, n_local_fish);
printf("rank[%d], iter[%d] ------- finished interact local fish\n", rank, iter);
stop_mpi_timer (&gather_timer);
stop_mpi_timer (&mpi_timer);
trace_end(TRACE_FISH_GATHER);
/*
We only output once every output_interval time unit, at most.
Without that restriction, we can easily create a huge output
file. Printing a record for ten fish takes about 300 bytes, so
for every 1000 steps, we could dump 300K of info. Now scale the
number of fish by 1000...
*/
trace_begin(TRACE_OUTPUT);
if (outputp && curr_time >= output_time) {
if (0 == rank)
output_fish (output_fp, curr_time, dt, fish, n_fish);
output_time = curr_time + output_interval;
}
trace_end(TRACE_OUTPUT);
trace_begin (TRACE_LOCAL_COMP);
//interact_fish (local_fish, n_local_fish, fish, n_fish);
local_max_norm = compute_norm (local_fish, n_local_fish);
trace_end (TRACE_LOCAL_COMP);
trace_begin (TRACE_MAX_NORM);
start_mpi_timer (&mpi_timer);
printf("rank[%d], iter[%d] ------- Allreduce max_norm, \n", rank, iter);
MPI_Allreduce (&local_max_norm, &max_norm, 1, MPI_DOUBLE, MPI_MAX, comm);
printf("rank[%d], iter[%d] ------- local_max_norm: %g, max_norm: %g\n", local_max_norm, max_norm);
stop_mpi_timer (&mpi_timer);
trace_end (TRACE_MAX_NORM);
trace_begin (TRACE_LOCAL_COMP);
dt = max_norm_change / max_norm;
dt = f_max(dt, min_dt);
dt = f_min(dt, max_dt);
printf("rank[%d], iter[%d] ------- moving [%d] local_fish, \n", rank, iter, n_local_fish);
move_fish(local_fish, n_local_fish, dt);
printf("rank[%d], iter[%d] ------- finished moving.\n", rank, iter);
trace_end (TRACE_LOCAL_COMP);
iter++;
}
stop_mpi_timer(&total_timer);
#ifdef TRACE_WITH_VAMPIR
VT_traceoff();
#endif
if (outputp) {
MPI_Allgatherv (local_fish, n_local_fish, fishtype,
fish, n_fish_split, fish_off, fishtype, comm);
if (0 == rank) {
output_fish (output_fp, curr_time, dt, fish, n_fish);
printf("\tEnded at %g (%g), %d (%d) steps\n",
curr_time, end_time, steps, max_steps);
}
}
printf("rank[%d], ------- 39, \n", rank);
MPI_Reduce (&total_timer, &sum_total_timer, 1, MPI_DOUBLE,
MPI_SUM, 0, comm);
printf("rank[%d], ------- 40, \n", rank);
MPI_Reduce (&gather_timer, &sum_gather_timer, 1, MPI_DOUBLE,
MPI_SUM, 0, comm);
printf("rank[%d], ------- 41, \n", rank);
MPI_Reduce (&mpi_timer, &sum_mpi_timer, 1, MPI_DOUBLE,
MPI_SUM, 0, comm);
printf("rank[%d], ------- 42, \n", rank);
if (0 == rank) {
printf("Number of PEs: %d\n"
"Time taken on 0: %g (avg. %g)\n"
"Time in gathers on 0: %g (avg %g)\n"
"Time in MPI on 0: %g (avg %g)\n",
n_proc,
total_timer, sum_total_timer / n_proc,
gather_timer, sum_gather_timer / n_proc,
mpi_timer, sum_mpi_timer / n_proc);
}
printf("rank[%d], ------- 43, \n", rank);
MPI_Barrier (comm);
printf("rank[%d], ------- 44, \n", rank);
MPI_Finalize ();
printf("rank[%d], ------- done!!, \n", rank);
return 0;
}
MTYPE f_height(function _f, MTYPE minx, MTYPE maxx) {
return f_max(_f, minx, maxx) - f_min(_f, minx, maxx);
}
static void runAddingSc4(LADSPA_Handle instance, unsigned long sample_count) {
Sc4 *plugin_data = (Sc4 *)instance;
LADSPA_Data run_adding_gain = plugin_data->run_adding_gain;
/* RMS/peak (float value) */
const LADSPA_Data rms_peak = *(plugin_data->rms_peak);
/* Attack time (ms) (float value) */
const LADSPA_Data attack = *(plugin_data->attack);
/* Release time (ms) (float value) */
const LADSPA_Data release = *(plugin_data->release);
/* Threshold level (dB) (float value) */
const LADSPA_Data threshold = *(plugin_data->threshold);
/* Ratio (1:n) (float value) */
const LADSPA_Data ratio = *(plugin_data->ratio);
/* Knee radius (dB) (float value) */
const LADSPA_Data knee = *(plugin_data->knee);
/* Makeup gain (dB) (float value) */
const LADSPA_Data makeup_gain = *(plugin_data->makeup_gain);
/* Left input (array of floats of length sample_count) */
const LADSPA_Data * const left_in = plugin_data->left_in;
/* Right input (array of floats of length sample_count) */
const LADSPA_Data * const right_in = plugin_data->right_in;
/* Left output (array of floats of length sample_count) */
LADSPA_Data * const left_out = plugin_data->left_out;
/* Right output (array of floats of length sample_count) */
LADSPA_Data * const right_out = plugin_data->right_out;
float amp = plugin_data->amp;
float * as = plugin_data->as;
unsigned int count = plugin_data->count;
float env = plugin_data->env;
float env_peak = plugin_data->env_peak;
float env_rms = plugin_data->env_rms;
float gain = plugin_data->gain;
float gain_t = plugin_data->gain_t;
rms_env * rms = plugin_data->rms;
float sum = plugin_data->sum;
#line 51 "sc4_1434.xml"
unsigned long pos;
const float ga = attack < 2.0f ? 0.0f : as[f_round(attack * 0.001f * (float)(A_TBL-1))];
const float gr = as[f_round(release * 0.001f * (float)(A_TBL-1))];
const float rs = (ratio - 1.0f) / ratio;
const float mug = db2lin(makeup_gain);
const float knee_min = db2lin(threshold - knee);
const float knee_max = db2lin(threshold + knee);
const float ef_a = ga * 0.25f;
const float ef_ai = 1.0f - ef_a;
for (pos = 0; pos < sample_count; pos++) {
const float la = fabs(left_in[pos]);
const float ra = fabs(right_in[pos]);
const float lev_in = f_max(la, ra);
sum += lev_in * lev_in;
if (amp > env_rms) {
env_rms = env_rms * ga + amp * (1.0f - ga);
} else {
env_rms = env_rms * gr + amp * (1.0f - gr);
}
if (lev_in > env_peak) {
env_peak = env_peak * ga + lev_in * (1.0f - ga);
} else {
env_peak = env_peak * gr + lev_in * (1.0f - gr);
}
if ((count++ & 3) == 3) {
amp = rms_env_process(rms, sum * 0.25f);
sum = 0.0f;
if (isnan(env_rms)) {
// This can happen sometimes, but I don't know why
env_rms = 0.0f;
}
env = LIN_INTERP(rms_peak, env_rms, env_peak);
if (env <= knee_min) {
gain_t = 1.0f;
} else if (env < knee_max) {
const float x = -(threshold - knee - lin2db(env)) / knee;
gain_t = db2lin(-knee * rs * x * x * 0.25f);
} else {
gain_t = db2lin((threshold - lin2db(env)) * rs);
}
}
gain = gain * ef_a + gain_t * ef_ai;
buffer_write(left_out[pos], left_in[pos] * gain * mug);
buffer_write(right_out[pos], right_in[pos] * gain * mug);
}
plugin_data->sum = sum;
plugin_data->amp = amp;
plugin_data->gain = gain;
plugin_data->gain_t = gain_t;
plugin_data->env = env;
plugin_data->env_rms = env_rms;
plugin_data->env_peak = env_peak;
plugin_data->count = count;
*(plugin_data->amplitude) = lin2db(env);
*(plugin_data->gain_red) = lin2db(gain);
}
