Пример #1
0
/*** preinitBlock ***/
$super()
boolean $actorSymbol(haveNextNextGaussian) = false;
double $actorSymbol(nextNextGaussian);

double $actorSymbol(xRawNum);
double $actorSymbol(yRawNum);
/**/

/*** randomBlock ***/
$actorSymbol(xRawNum) = RandomSource_nextGaussian(&$actorSymbol(seed), &$actorSymbol(haveNextNextGaussian), &$actorSymbol(nextNextGaussian));
$actorSymbol(yRawNum) = RandomSource_nextGaussian(&$actorSymbol(seed), &$actorSymbol(haveNextNextGaussian), &$actorSymbol(nextNextGaussian));
$ref(output) = sqrt(pow(
                        ($actorSymbol(xRawNum) * $val(standardDeviation)) + $val(xMean), 2)
                    + pow(($actorSymbol(yRawNum) * $val(standardDeviation)) + $val(yMean), 2));
/**/

Пример #2
0
// The algorithm of generating the random number with Gaussian distribution
// is based on source code from Java.util.Random. Given the same seed, it
// generates the same list of random numbers as the java.util.Random object.

/*** preinitBlock ***/
double $actorSymbol(seed);
boolean $actorSymbol(haveNextNextGaussian) = false;
double $actorSymbol(nextNextGaussian);
/**/

/*** randomBlock ***/
$ref(output) = (RandomSource_nextGaussian(&$actorSymbol(seed), &$actorSymbol(haveNextNextGaussian), &$actorSymbol(nextNextGaussian)) * $val(standardDeviation)) + $val(mean);
/**/