Package apple.gameplaykit

Class GKGaussianDistribution

  • All Implemented Interfaces:
    GKRandom, NSObject
    public class GKGaussianDistribution
extends GKRandomDistribution
    A gaussian distribution is biased towards the mean value, the possible outcomes are spread out from the mean with decreasing probability. Values within 1 deviation of the mean make up 68.27% of the distribution, values within 2 deviations make up 95% and values within 3 deviations make up 99.7%. Note that a gaussian distribution's unbounded behavior beyond 3 deviations is undesired, thus this distribution deviates nominally by modifying the bounds to 3 deviations. Thus values within 3 deviations actually make up 100% of the distribution.

    • Constructor Detail

      • GKGaussianDistribution

        protected GKGaussianDistribution​(org.moe.natj.general.Pointer peer)

    • Method Detail

      • accessInstanceVariablesDirectly

        public static boolean accessInstanceVariablesDirectly()

      • allocWithZone

        public static java.lang.Object allocWithZone​(org.moe.natj.general.ptr.VoidPtr zone)

      • automaticallyNotifiesObserversForKey

        public static boolean automaticallyNotifiesObserversForKey​(java.lang.String key)

      • cancelPreviousPerformRequestsWithTarget

        public static void cancelPreviousPerformRequestsWithTarget​(java.lang.Object aTarget)

      • cancelPreviousPerformRequestsWithTargetSelectorObject

        public static void cancelPreviousPerformRequestsWithTargetSelectorObject​(java.lang.Object aTarget,
                                                                         org.moe.natj.objc.SEL aSelector,
                                                                         java.lang.Object anArgument)

      • classFallbacksForKeyedArchiver

        public static NSArray<java.lang.String> classFallbacksForKeyedArchiver()

      • classForKeyedUnarchiver

        public static org.moe.natj.objc.Class classForKeyedUnarchiver()

      • d20

        public static java.lang.Object d20()

      • d6

        public static java.lang.Object d6()

      • debugDescription_static

        public static java.lang.String debugDescription_static()

      • description_static

        public static java.lang.String description_static()

      • distributionForDieWithSideCount

        public static GKGaussianDistribution distributionForDieWithSideCount​(long sideCount)

      • distributionWithLowestValueHighestValue

        public static GKGaussianDistribution distributionWithLowestValueHighestValue​(long lowestInclusive,
                                                                             long highestInclusive)

      • hash_static

        public static long hash_static()

      • instanceMethodSignatureForSelector

        public static NSMethodSignature instanceMethodSignatureForSelector​(org.moe.natj.objc.SEL aSelector)

      • instancesRespondToSelector

        public static boolean instancesRespondToSelector​(org.moe.natj.objc.SEL aSelector)

      • isSubclassOfClass

        public static boolean isSubclassOfClass​(org.moe.natj.objc.Class aClass)

      • keyPathsForValuesAffectingValueForKey

        public static NSSet<java.lang.String> keyPathsForValuesAffectingValueForKey​(java.lang.String key)

      • new_objc

        public static java.lang.Object new_objc()

      • resolveClassMethod

        public static boolean resolveClassMethod​(org.moe.natj.objc.SEL sel)

      • resolveInstanceMethod

        public static boolean resolveInstanceMethod​(org.moe.natj.objc.SEL sel)

      • setVersion_static

        public static void setVersion_static​(long aVersion)

      • superclass_static

        public static org.moe.natj.objc.Class superclass_static()

      • version_static

        public static long version_static()

      • deviation

        public float deviation()
        The deviation, often called 'sigma', is the deviation from the mean that would include roughly 68% of the distribution. The range of the distribution is [mean - 3 * deviation, mean + 3 * deviation]. Values beyond 3 deviations are considered so improbable that they are removed from the output set.

      • initWithRandomSourceLowestValueHighestValue

        public GKGaussianDistribution initWithRandomSourceLowestValueHighestValue​(GKRandom source,
                                                                          long lowestInclusive,
                                                                          long highestInclusive)
        Initializes a Gaussian random distribution within the range [lowest, highest] using a source to grab input values from. This sets the gaussian parameters to: mean = (highest + lowest) / 2 deviation = (highest - lowest) / 6 The mean and deviation will be floating point numbers even if the distribution is meant to produce integer values.
        Overrides:
        initWithRandomSourceLowestValueHighestValue in class GKRandomDistribution
        See Also:
        mean(), deviation()

      • initWithRandomSourceMeanDeviation

        public GKGaussianDistribution initWithRandomSourceMeanDeviation​(GKRandom source,
                                                                float mean,
                                                                float deviation)
        Initializes a Gaussian random distribution within the range [mean - 3 * deviation, mean + 3 * deviation] using a source to grab input values from.

      • mean

        public float mean()
        The mean, or expected, value of the distribution. Values are more probable the closer to the mean they are.