void MakeSound(int pulse)
{
struct char_data *ch;
/* objects */
ForAllObjects(NULL,pulse,ObjNoise);
/* mobiles */
for (ch = character_list; ch; ch = ch->next) {
if (IS_NPC(ch) && (ch->player.sounds) && (number(0,5)==0)) {
if (ch->specials.default_pos > POSITION_SLEEPING) {
if (GET_POS(ch) > POSITION_SLEEPING) {
/* Make the sound; */
MakeNoise(ch->in_room, ch->player.sounds, ch->player.distant_snds);
} else if (GET_POS(ch) == POSITION_SLEEPING) {
char buf[MAX_STRING_LENGTH];
/* snore */
sprintf(buf, "%s snores loudly.\n", ch->player.short_descr);
MakeNoise(ch->in_room, buf, "You hear a loud snore nearby.\n");
}
} else if (GET_POS(ch) == ch->specials.default_pos) {
/* Make the sound */
MakeNoise(ch->in_room, ch->player.sounds, ch->player.distant_snds);
}
}
}
}
float ANimModCharacter::TakeDamage(float Damage, struct FDamageEvent const& DamageEvent, class AController* EventInstigator, class AActor* DamageCauser)
{
ANimModPlayerController* MyPC = Cast<ANimModPlayerController>(Controller);
if (MyPC && MyPC->HasGodMode())
{
return 0.f;
}
if (Health <= 0)
{
return 0;
}
// Modify based on game rules.
ANimModGameMode* const Game = GetWorld()->GetAuthGameMode<ANimModGameMode>();
Damage = Game ? Game->ModifyDamage(Damage, this, DamageEvent, EventInstigator, DamageCauser) : 0.f;
const float ActualDamage = Super::TakeDamage(Damage, DamageEvent, EventInstigator, DamageCauser);
if (ActualDamage > 0.f)
{
Health -= (int)ActualDamage;
if (Health <= 0)
{
Die(ActualDamage, DamageEvent, EventInstigator, DamageCauser);
}
else
{
PlayHit(ActualDamage, DamageEvent, EventInstigator ? EventInstigator->GetPawn() : NULL, DamageCauser);
}
MakeNoise(1.0f, EventInstigator ? EventInstigator->GetPawn() : this);
}
return ActualDamage;
}
void APlayerCharacter::MakePawnNoise(float Loudness)
{
if (Role == ROLE_Authority)
{
/* Make noise to be picked up by PawnSensingComponent by the enemy pawns */
MakeNoise(Loudness, this, GetActorLocation());
}
}
void ASCharacter::MakePawnNoise(float Loudness)
{
if (Role == ROLE_Authority)
{
/* Make noise to be picked up by PawnSensingComponent by the enemy pawns */
MakeNoise(Loudness, this, GetActorLocation());
}
LastNoiseLoudness = Loudness;
LastMakeNoiseTime = GetWorld()->GetTimeSeconds();
}
int Moribondo( struct char_data *pChar, int nCmd, const char *szArg,
struct char_data *pMob, int nType )
{
if( pMob == NULL || pChar == NULL )
{
mudlog( LOG_SYSERR,
"pMob == NULL || pChar == NULL in Moribondo( carceri.h )" );
return FALSE;
}
if( nType == EVENT_TICK )
{
switch( pMob->generic )
{
case 0:
GET_HIT( pMob ) = -3;
GET_POS( pMob ) = POSITION_INCAP;
pMob->generic = 1;
break;
case 1:
if( GET_HIT( pMob ) > 0 && !pMob->specials.fighting )
{
do_say( pMob, "Grazie! Grazie! Chiunque sia stato.", 0 );
if( pMob->player.description )
free( pMob->player.description );
pMob->player.description = strdup( "Il piccolo nano e` contento e "
"grato a chi lo ha aiutato.\n\r" );
pMob->generic = 2;
}
else if( !pMob->specials.fighting )
{
MakeNoise( pMob->in_room, NULL, "Senti qualcuno lamentarsi.\n\r" );
}
break;
case 2:
if( !pMob->specials.fighting )
{
do_say( pMob,
"Guardate vicino al letto. C'e` un passaggio segreto!", 0 );
pMob->generic = 3;
}
break;
default:
if( !number( 0, 5 ) && !pMob->specials.fighting )
{
do_say( pMob,
"Guardate vicino al letto. C'e` un passaggio segreto!", 0 );
}
break;
}
}
return FALSE;
}
string mammalia::ToString()
{
LOGFILE << POS_IN_PROGRAM << "start of function" << endl;
ostringstream oss;
oss << boolalpha << animal::GetFormattedName() << endl;
oss << "Blood:" << blood << endl;
oss << "Egg Layer:" << egg_layer << endl;
oss << "Live Birth:" << live_birth << endl;
oss << "Movement: " << Move() << endl;
oss << "Noise: " <<MakeNoise() << endl;
return oss.str();
}
bool EffectNoise::Process()
{
if (noiseDuration <= 0.0)
noiseDuration = sDefaultGenerateLen;
//Iterate over each track
TrackListIterator iter(mWaveTracks);
WaveTrack *track = (WaveTrack *)iter.First();
while (track) {
WaveTrack *tmp = mFactory->NewWaveTrack(track->GetSampleFormat(), track->GetRate());
numSamples = (longSampleCount)(noiseDuration * track->GetRate() + 0.5);
longSampleCount i = 0;
float *data = new float[tmp->GetMaxBlockSize()];
sampleCount block;
while(i < numSamples) {
block = tmp->GetBestBlockSize(i);
if (block > (numSamples - i))
block = numSamples - i;
MakeNoise(data, block, track->GetRate(), noiseAmplitude);
tmp->Append((samplePtr)data, floatSample, block);
i += block;
}
delete[] data;
tmp->Flush();
track->Clear(mT0, mT1);
track->Paste(mT0, tmp);
delete tmp;
//Iterate to the next track
track = (WaveTrack *)iter.Next();
}
/*
save last used values
save duration unless value was got from selection, so we save only
when user explicitely setup a value
*/
if (mT1 == mT0)
gPrefs->Write(wxT("/CsPresets/NoiseGen_Duration"), noiseDuration);
gPrefs->Write(wxT("/CsPresets/NoiseGen_Type"), noiseType);
gPrefs->Write(wxT("/CsPresets/NoiseGen_Amp"), noiseAmplitude);
mT1 = mT0 + noiseDuration; // Update selection.
return true;
}
static int ObjNoise(struct obj_data *obj,struct char_data *ch, int pulse)
{
int room;
if (!obj->action_description) return(0);
if (!ITEM_TYPE(obj,ITEM_AUDIO)) return(0);
if (((obj->obj_flags.value[0]) && (pulse % obj->obj_flags.value[0])==0) || (!number(0,5))) {
if (obj->carried_by)
room = obj->carried_by->in_room;
else if (obj->equipped_by)
room = obj->equipped_by->in_room;
else if (obj->in_room != NOWHERE)
room = obj->in_room;
else
room = RecGetObjRoom(obj);
MakeNoise(room, obj->action_description, obj->action_description);
return(1);
}
return(0);
}
MakeSound(int pulse)
{
int room;
char buffer[128];
struct obj_data *obj;
struct char_data *ch;
/*
* objects
*/
for (obj = object_list; obj; obj = obj->next) {
if (ITEM_TYPE(obj) == ITEM_AUDIO) {
if (((obj->obj_flags.value[0]) &&
(pulse % obj->obj_flags.value[0])==0) ||
(!number(0,5))) {
if (obj->carried_by) {
room = obj->carried_by->in_room;
} else if (obj->equipped_by) {
room = obj->equipped_by->in_room;
} else if (obj->in_room != NOWHERE) {
room = obj->in_room;
} else {
room = RecGetObjRoom(obj);
}
/*
* broadcast to room
*/
if (obj->action_description) {
MakeNoise(room, obj->action_description, obj->action_description);
}
}
}
}
/*
* mobiles
*/
for (ch = character_list; ch; ch = ch->next) {
if (IS_NPC(ch) && (ch->player.sounds) && (number(0,5)==0)) {
if (ch->specials.default_pos > POSITION_SLEEPING) {
if (GET_POS(ch) > POSITION_SLEEPING) {
/*
* Make the sound;
*/
MakeNoise(ch->in_room, ch->player.sounds, ch->player.distant_snds);
} else if (GET_POS(ch) == POSITION_SLEEPING) {
/*
* snore
*/
sprintf(buffer, "%s snores loudly.\n\r", ch->player.short_descr);
MakeNoise(ch->in_room, buffer, "You hear a loud snore nearby.\n\r");
}
} else if (GET_POS(ch) == ch->specials.default_pos) {
/*
* Make the sound
*/
MakeNoise(ch->in_room, ch->player.sounds, ch->player.distant_snds);
}
}
}
}
Image2D TestSetGenerator::MakeTestSet(int number, Mask2D& rfi, unsigned width, unsigned height, int gaussianNoise)
{
Image2D image;
switch(number)
{
case 0: // Image of all zero's
return Image2D::MakeZeroImage(width, height);
case 1: // Image of all ones
image = Image2D::MakeUnsetImage(width, height);
image.SetAll(1.0);
break;
case 2: // Noise
return MakeNoise(width, height, gaussianNoise);
case 3: { // Several broadband lines
image = MakeNoise(width, height, gaussianNoise);
AddBroadbandToTestSet(image, rfi, 1.0);
} break;
case 4: { // Several broadband lines
image = MakeNoise(width, height, gaussianNoise);
AddBroadbandToTestSet(image, rfi, 0.5);
} break;
case 5: { // Several broadband lines of random length
image = MakeNoise(width, height, gaussianNoise);
AddVarBroadbandToTestSet(image, rfi);
} break;
case 6: { // Different broadband lines + low freq background
image = MakeNoise(width, height, gaussianNoise);
AddVarBroadbandToTestSet(image, rfi);
for(unsigned y=0;y<image.Height();++y) {
for(unsigned x=0;x<image.Width();++x) {
image.AddValue(x, y, sinn(num_t(x)*M_PIn*5.0 / image.Width()) + 0.1);
}
}
} break;
case 7: { // Different broadband lines + high freq background
image = MakeNoise(width, height, gaussianNoise);
for(unsigned y=0;y<image.Height();++y) {
for(unsigned x=0;x<image.Width();++x) {
image.AddValue(x, y, sinn((long double) (x+y*0.1)*M_PIn*5.0L / image.Width() + 0.1));
image.AddValue(x, y, sinn((long double) (x+pown(y, 1.1))*M_PIn*50.0L / image.Width() + 0.1));
}
}
AddVarBroadbandToTestSet(image, rfi);
for(unsigned y=0;y<image.Height();++y) {
for(unsigned x=0;x<image.Width();++x) {
image.AddValue(x, y, 1.0);
}
}
} break;
case 8: { // Different droadband lines + smoothed&subtracted high freq background
image = MakeNoise(width, height, gaussianNoise);
for(unsigned y=0;y<image.Height();++y) {
for(unsigned x=0;x<image.Width();++x) {
image.AddValue(x, y, sinn((num_t) (x+y*0.1)*M_PIn*5.0 / image.Width() + 0.1));
image.AddValue(x, y, sinn((num_t) (x+pown(y, 1.1))*M_PIn*50.0 / image.Width() + 0.1));
}
}
SubtractBackground(image);
AddVarBroadbandToTestSet(image, rfi);
} break;
case 9: { //FFT of 7
image = MakeTestSet(7, rfi, width, height);
Image2D copy(image);
FFTTools::CreateHorizontalFFTImage(image, copy, false);
for(unsigned y=0;y<rfi.Height();++y) {
for(unsigned x=0;x<rfi.Width();++x) {
image.SetValue(x, y, image.Value(x, y) / sqrtn(image.Width()));
}
}
} break;
case 10: { // Identity matrix
image = Image2D::MakeZeroImage(width, height);
unsigned min = width < height ? width : height;
for(unsigned i=0;i<min;++i) {
image.SetValue(i, i, 1.0);
rfi.SetValue(i, i, true);
}
} break;
case 11: { // FFT of identity matrix
image = MakeTestSet(10, rfi, width, height);
Image2D copy(image);
FFTTools::CreateHorizontalFFTImage(image, copy, false);
for(unsigned y=0;y<rfi.Height();++y) {
for(unsigned x=0;x<rfi.Width();++x) {
image.SetValue(x, y, image.Value(x, y) / sqrtn(width));
}
}
} break;
case 12: { // Broadband contaminating all channels
image = MakeNoise(width, height, gaussianNoise);
for(unsigned y=0;y<image.Height();++y) {
for(unsigned x=0;x<image.Width();++x) {
image.AddValue(x, y, sinn((num_t) (x+y*0.1)*M_PIn*5.0 / image.Width() + 0.1));
image.AddValue(x, y, sinn((num_t) (x+powl(y, 1.1))*M_PIn*50.0 / image.Width() + 0.1));
}
}
AddBroadbandToTestSet(image, rfi, 1.0);
} break;
case 13: { // Model of three point sources with broadband RFI
SetModelData(image, rfi, 3);
Image2D noise = MakeNoise(image.Width(), image.Height(), gaussianNoise);
image += noise;
AddBroadbandToTestSet(image, rfi, 1.0);
} break;
case 14: { // Model of five point sources with broadband RFI
SetModelData(image, rfi, 5);
Image2D noise = MakeNoise(image.Width(), image.Height(), gaussianNoise);
image += noise;
AddBroadbandToTestSet(image, rfi, 1.0);
} break;
case 15: { // Model of five point sources with partial broadband RFI
SetModelData(image, rfi, 5);
Image2D noise = MakeNoise(image.Width(), image.Height(), gaussianNoise);
image += noise;
AddBroadbandToTestSet(image, rfi, 0.5);
} break;
case 16: { // Model of five point sources with random broadband RFI
SetModelData(image, rfi, 5);
Image2D noise = MakeNoise(image.Width(), image.Height(), gaussianNoise);
image += noise;
AddVarBroadbandToTestSet(image, rfi);
} break;
case 17: { // Background-fitted model of five point sources with random broadband RFI
SetModelData(image, rfi, 5);
Image2D noise = MakeNoise(image.Width(), image.Height(), gaussianNoise);
image += noise;
SubtractBackground(image);
AddVarBroadbandToTestSet(image, rfi);
} break;
case 18: { // Model of three point sources with random RFI
SetModelData(image, rfi, 3);
Image2D noise = MakeNoise(image.Width(), image.Height(), gaussianNoise);
image += noise;
AddVarBroadbandToTestSet(image, rfi);
} break;
case 19: { // Model of three point sources with noise
SetModelData(image, rfi, 3);
Image2D noise = MakeNoise(image.Width(), image.Height(), gaussianNoise);
image += noise;
} break;
case 20: { // Model of five point sources with noise
SetModelData(image, rfi, 5);
Image2D noise = MakeNoise(image.Width(), image.Height(), gaussianNoise);
image += noise;
} break;
case 21: { // Model of three point sources
SetModelData(image, rfi, 3);
} break;
case 22: { // Model of five point sources
image = Image2D::MakeZeroImage(width, height);
SetModelData(image, rfi, 5);
} break;
case 23:
image = MakeNoise(width, height, gaussianNoise);
AddBroadbandToTestSet(image, rfi, 0.5, 0.1, true);
break;
case 24:
image = MakeNoise(width, height, gaussianNoise);
AddBroadbandToTestSet(image, rfi, 0.5, 10.0, true);
break;
case 25:
image = MakeNoise(width, height, gaussianNoise);
AddBroadbandToTestSet(image, rfi, 0.5, 1.0, true);
break;
case 26: { // Several Gaussian broadband lines
image = MakeNoise(width, height, gaussianNoise);
AddBroadbandToTestSet(image, rfi, 1.0, 1.0, false, GaussianShape);
} break;
case 27: { // Several Sinusoidal broadband lines
image = MakeNoise(width, height, gaussianNoise);
AddBroadbandToTestSet(image, rfi, 1.0, 1.0, false, SinusoidalShape);
} break;
case 28: { // Several slewed Gaussian broadband lines
image = MakeNoise(width, height, gaussianNoise);
AddSlewedBroadbandToTestSet(image, rfi, 1.0);
} break;
case 29: { // Several bursty broadband lines
image = MakeNoise(width, height, gaussianNoise);
AddBurstBroadbandToTestSet(image, rfi);
} break;
case 30: { // noise + RFI ^-2 distribution
image = sampleRFIDistribution(width, height, 1.0);
rfi.SetAll<true>();
} break;
case 31: { // noise + RFI ^-2 distribution
image = sampleRFIDistribution(width, height, 0.1);
rfi.SetAll<true>();
} break;
case 32: { // noise + RFI ^-2 distribution
image = sampleRFIDistribution(width, height, 0.01);
rfi.SetAll<true>();
} break;
}
return image;
}
bool EffectNoise::Process()
{
if (noiseDuration <= 0.0)
noiseDuration = sDefaultGenerateLen;
//Iterate over each track
int ntrack = 0;
this->CopyInputWaveTracks(); // Set up mOutputWaveTracks.
bool bGoodResult = true;
TrackListIterator iter(mOutputWaveTracks);
WaveTrack *track = (WaveTrack *)iter.First();
while (track) {
WaveTrack *tmp = mFactory->NewWaveTrack(track->GetSampleFormat(), track->GetRate());
numSamples = (longSampleCount)(noiseDuration * track->GetRate() + 0.5);
longSampleCount i = 0;
float *data = new float[tmp->GetMaxBlockSize()];
sampleCount block;
while ((i < numSamples) && bGoodResult) {
block = tmp->GetBestBlockSize(i);
if (block > (numSamples - i))
block = numSamples - i;
MakeNoise(data, block, track->GetRate(), noiseAmplitude);
tmp->Append((samplePtr)data, floatSample, block);
i += block;
//Update the Progress meter
if (TrackProgress(ntrack, (double)i / numSamples))
bGoodResult = false;
}
delete[] data;
tmp->Flush();
track->Clear(mT0, mT1);
track->Paste(mT0, tmp);
delete tmp;
if (!bGoodResult)
break;
//Iterate to the next track
ntrack++;
track = (WaveTrack *)iter.Next();
}
if (bGoodResult)
{
/*
save last used values
save duration unless value was got from selection, so we save only
when user explicitely setup a value
*/
if (mT1 == mT0)
gPrefs->Write(wxT("/CsPresets/NoiseGen_Duration"), noiseDuration);
gPrefs->Write(wxT("/CsPresets/NoiseGen_Type"), noiseType);
gPrefs->Write(wxT("/CsPresets/NoiseGen_Amp"), noiseAmplitude);
mT1 = mT0 + noiseDuration; // Update selection.
}
this->ReplaceProcessedWaveTracks(bGoodResult);
return bGoodResult;
}
void EffectNoise::GenerateBlock(float *data,
const WaveTrack &track,
sampleCount block)
{
MakeNoise(data, block, track.GetRate(), noiseAmplitude);
}
