private void init(int number, bool previewMode, EntropySettings entropySettings)
{
dimensions = ChaosSettings_implant.getDimensions();
sampleCount = number;
pMode = previewMode;
entropySettings_implant = entropySettings;
}
private static double pGetCustomMappedRandomNumber(string equation, EntropySettings settings)
{
double value = 1E-15;
double xvalue = pGetRandomDouble(settings);
while (xvalue < value)
{
xvalue = pGetRandomDouble(settings);
}
double yvalue = pGetRandomDouble(settings);
while (yvalue < value)
{
yvalue = pGetRandomDouble(settings);
}
double zvalue = pGetRandomDouble(settings);
while (zvalue < value)
{
zvalue = pGetRandomDouble(settings);
}
try
{
ExpressionParser parser = new();
parser.Values.Add("x", xvalue);
parser.Values.Add("y", yvalue);
parser.Values.Add("z", zvalue);
// Substitute any Box-Muller queries with the full form.
equation = equation.Replace("_gxy", "(sqrt(-2 * ln(y)) * cos(2 * PI * x))");
equation = equation.Replace("_gyz", "(sqrt(-2 * ln(z)) * cos(2 * PI * y))");
equation = equation.Replace("_gxz", "(sqrt(-2 * ln(z)) * cos(2 * PI * x))");
value = parser.Parse(equation);
}
catch (Exception e)
{
ErrorReporter.showMessage_OK(e.ToString(), "RNG mapper error");
}
return(value);
}
private static double pGetGaussianRandomNumber(EntropySettings settings)
{
double value;
switch (settings.getValue(EntropySettings.properties_i.rngType))
{
case (int)commonRNG.rngIndex.crypto:
value = Crypto_RNG.random_gauss()[0];
break;
case (int)commonRNG.rngIndex.mtwister:
value = MersenneTwister_RNG.random_gauss()[0];
break;
default:
value = RNG.random_gauss()[0];
break;
}
return(value);
}
private static int pGetRandomInt(EntropySettings settings)
{
int value;
switch (settings.getValue(EntropySettings.properties_i.rngType))
{
case (int)commonRNG.rngIndex.crypto:
value = Crypto_RNG.nextint();
break;
case (int)commonRNG.rngIndex.mtwister:
value = MersenneTwister_RNG.nextint();
break;
default:
value = RNG.nextint();
break;
}
return(value);
}
private void pChaosSettings_implant(bool previewMode_, EntropySettings entropySettings)
{
previewMode = previewMode_;
if (previewMode)
{
implant_resistCDVar = 0;
implant_resistHeightVar = 0;
implant_resistTopCRRVar = 0;
implant_tiltVar = 0;
implant_twistVar = 0;
}
else
{
switch (entropySettings.getValue(EntropySettings.properties_i.rngType))
{
case (int)commonRNG.rngIndex.mtwister:
implant_resistCDVar = MersenneTwister_RNG.random_gauss3()[0];
implant_resistHeightVar = MersenneTwister_RNG.random_gauss3()[0];
implant_resistTopCRRVar = MersenneTwister_RNG.random_gauss3()[0];
implant_tiltVar = MersenneTwister_RNG.random_gauss3()[0];
implant_twistVar = MersenneTwister_RNG.random_gauss3()[0];
break;
case (int)commonRNG.rngIndex.crypto:
implant_resistCDVar = Crypto_RNG.random_gauss3()[0];
implant_resistHeightVar = Crypto_RNG.random_gauss3()[0];
implant_resistTopCRRVar = Crypto_RNG.random_gauss3()[0];
implant_tiltVar = Crypto_RNG.random_gauss3()[0];
implant_twistVar = Crypto_RNG.random_gauss3()[0];
break;
default:
implant_resistCDVar = RNG.random_gauss3()[0];
implant_resistHeightVar = RNG.random_gauss3()[0];
implant_resistTopCRRVar = RNG.random_gauss3()[0];
implant_tiltVar = RNG.random_gauss3()[0];
implant_twistVar = RNG.random_gauss3()[0];
break;
}
}
}
public Sampler_Implant(int number, bool previewMode, EntropySettings entropySettings)
{
init(number, previewMode, entropySettings);
}
public ChaosSettings_implant(bool previewMode_, EntropySettings entropySettings)
{
pChaosSettings_implant(previewMode_, entropySettings);
}
private void pChaosSettings(bool previewMode_, List<EntropyLayerSettings> listOfSettings, EntropySettings simSettings) // set to true for preview; else we run with random inputs
{
customRNGMapping = false;
previewMode = previewMode_;
int count = listOfSettings.Count;
overlayX = new double[count];
overlayY = new double[count];
hTipBiasType = new double[count];
vTipBiasType = new double[count];
horTipBiasVar = new double[count];
verTipBiasVar = new double[count];
iCVar = new double[count];
iC_PAsearch = new bool[count];
oCVar = new double[count];
oC_PAsearch = new bool[count];
LWRVar = new double[count];
LWR2Var = new double[count];
CDUSVar = new double[count];
CDUTVar = new double[count];
wobbleVar = new double[count];
LWRSeed = new int[count];
LWR2Seed = new int[count];
#if !CHAOSSINGLETHREADED
Parallel.For(0, count, i =>
#else
for (int i = 0; i < count; i++)
#endif
{
iC_PAsearch[i] = false;
oC_PAsearch[i] = false;
LWRSeed[i] = 1;
LWR2Seed[i] = 1;
if (previewMode)
{
overlayX[i] = 0;
overlayY[i] = 0;
hTipBiasType[i] = 0;
vTipBiasType[i] = 0;
horTipBiasVar[i] = 0;
verTipBiasVar[i] = 0;
iCVar[i] = 0;
oCVar[i] = 0;
LWRVar[i] = 0;
LWR2Var[i] = 0;
CDUSVar[i] = 0;
CDUTVar[i] = 0;
wobbleVar[i] = 0;
}
else
{
if (rngCheck(listOfSettings[i].getString(EntropyLayerSettings.properties_s.xOL_RNG)))
{
customRNGMapping = true;
overlayX[i] = UtilityFuncs.getCustomMappedRandomNumber(listOfSettings[i].getString(EntropyLayerSettings.properties_s.xOL_RNG), simSettings);
}
else
{
overlayX[i] = UtilityFuncs.getGaussianRandomNumber3(simSettings);
}
if (rngCheck(listOfSettings[i].getString(EntropyLayerSettings.properties_s.yOL_RNG)))
{
customRNGMapping = true;
overlayY[i] = UtilityFuncs.getCustomMappedRandomNumber(listOfSettings[i].getString(EntropyLayerSettings.properties_s.yOL_RNG), simSettings);
}
else
{
overlayY[i] = UtilityFuncs.getGaussianRandomNumber3(simSettings);
}
hTipBiasType[i] = UtilityFuncs.getGaussianRandomNumber3(simSettings);
vTipBiasType[i] = UtilityFuncs.getGaussianRandomNumber3(simSettings);
horTipBiasVar[i] = UtilityFuncs.getGaussianRandomNumber3(simSettings);
// Need to pay attention to sign here, to pull the right custom equation.
if (hTipBiasType[i] < 0.5 && rngCheck(listOfSettings[i].getString(EntropyLayerSettings.properties_s.hTipNVar_RNG)))
{
customRNGMapping = true;
horTipBiasVar[i] = UtilityFuncs.getCustomMappedRandomNumber(listOfSettings[i].getString(EntropyLayerSettings.properties_s.hTipNVar_RNG), simSettings);
}
if (hTipBiasType[i] >= 0.5 && rngCheck(listOfSettings[i].getString(EntropyLayerSettings.properties_s.hTipPVar_RNG)))
{
customRNGMapping = true;
horTipBiasVar[i] = UtilityFuncs.getCustomMappedRandomNumber(listOfSettings[i].getString(EntropyLayerSettings.properties_s.hTipPVar_RNG), simSettings);
}
verTipBiasVar[i] = UtilityFuncs.getGaussianRandomNumber3(simSettings);
// Need to pay attention to sign here, to pull the right custom equation.
if (vTipBiasType[i] < 0.5 && rngCheck(listOfSettings[i].getString(EntropyLayerSettings.properties_s.vTipNVar_RNG)))
{
customRNGMapping = true;
verTipBiasVar[i] = UtilityFuncs.getCustomMappedRandomNumber(listOfSettings[i].getString(EntropyLayerSettings.properties_s.vTipNVar_RNG), simSettings);
}
if (vTipBiasType[i] >= 0.5 && listOfSettings[i].getString(EntropyLayerSettings.properties_s.vTipPVar_RNG) != "" && listOfSettings[i].getString(EntropyLayerSettings.properties_s.vTipPVar_RNG) != CommonVars.boxMuller)
{
verTipBiasVar[i] = UtilityFuncs.getCustomMappedRandomNumber(listOfSettings[i].getString(EntropyLayerSettings.properties_s.vTipPVar_RNG), simSettings);
}
if (rngCheck(listOfSettings[i].getString(EntropyLayerSettings.properties_s.iCV_RNG)))
{
customRNGMapping = true;
iCVar[i] = UtilityFuncs.getCustomMappedRandomNumber(listOfSettings[i].getString(EntropyLayerSettings.properties_s.iCV_RNG), simSettings);
}
else
{
iCVar[i] = UtilityFuncs.getGaussianRandomNumber3(simSettings);
}
if (rngCheck(listOfSettings[i].getString(EntropyLayerSettings.properties_s.oCV_RNG)))
{
customRNGMapping = true;
oCVar[i] = UtilityFuncs.getCustomMappedRandomNumber(listOfSettings[i].getString(EntropyLayerSettings.properties_s.oCV_RNG), simSettings);
}
else
{
oCVar[i] = UtilityFuncs.getGaussianRandomNumber3(simSettings);
}
if (rngCheck(listOfSettings[i].getString(EntropyLayerSettings.properties_s.lwr_RNG)))
{
customRNGMapping = true;
LWRVar[i] = UtilityFuncs.getCustomMappedRandomNumber(listOfSettings[i].getString(EntropyLayerSettings.properties_s.lwr_RNG), simSettings);
}
else
{
LWRVar[i] = UtilityFuncs.getGaussianRandomNumber3(simSettings);
}
if (rngCheck(listOfSettings[i].getString(EntropyLayerSettings.properties_s.lwr2_RNG)))
{
customRNGMapping = true;
LWR2Var[i] = UtilityFuncs.getCustomMappedRandomNumber(listOfSettings[i].getString(EntropyLayerSettings.properties_s.lwr2_RNG), simSettings);
}
else
{
LWR2Var[i] = UtilityFuncs.getGaussianRandomNumber3(simSettings);
}
if (rngCheck(listOfSettings[i].getString(EntropyLayerSettings.properties_s.sCDU_RNG)))
{
customRNGMapping = true;
CDUSVar[i] = UtilityFuncs.getCustomMappedRandomNumber(listOfSettings[i].getString(EntropyLayerSettings.properties_s.sCDU_RNG), simSettings);
}
else
{
CDUSVar[i] = UtilityFuncs.getGaussianRandomNumber3(simSettings);
}
// Note that the TVar will be matched to SVar if the simulation settings call for these to be linked.
if (rngCheck(listOfSettings[i].getString(EntropyLayerSettings.properties_s.tCDU_RNG)))
{
customRNGMapping = true;
CDUTVar[i] = UtilityFuncs.getCustomMappedRandomNumber(listOfSettings[i].getString(EntropyLayerSettings.properties_s.tCDU_RNG), simSettings);
}
else
{
CDUTVar[i] = UtilityFuncs.getGaussianRandomNumber3(simSettings);
}
if (rngCheck(listOfSettings[i].getString(EntropyLayerSettings.properties_s.wobble_RNG)))
{
customRNGMapping = true;
wobbleVar[i] = UtilityFuncs.getCustomMappedRandomNumber(listOfSettings[i].getString(EntropyLayerSettings.properties_s.wobble_RNG), simSettings);
}
else
{
wobbleVar[i] = UtilityFuncs.getGaussianRandomNumber3(simSettings);
}
LWRSeed[i] = UtilityFuncs.getRandomInt(simSettings);
LWR2Seed[i] = UtilityFuncs.getRandomInt(simSettings);
}
}
public ChaosSettings(bool previewMode_, List<EntropyLayerSettings> listOfSettings, EntropySettings simSettings) // set to true for preview; else we run with random inputs
{
pChaosSettings(previewMode_, listOfSettings, simSettings);
}
public static double getGaussianRandomNumber(EntropySettings settings)
{
return(pGetGaussianRandomNumber(settings));
}
public static double getRandomDouble(EntropySettings settings)
{
return(pGetRandomDouble(settings));
}
public static double getCustomMappedRandomNumber(string equation, EntropySettings settings)
{
return(pGetCustomMappedRandomNumber(equation, settings));
}
public static int getRandomInt(EntropySettings settings)
{
return(pGetRandomInt(settings));
}
