source: opponentmodel/src/main/java/geniusweb/opponentmodel/bayesian/Hypothesis.java@ 52

package geniusweb.opponentmodel.bayesian;

/**
 * A hypothesis is a value with a probability attached to it.
 * <p>
 * DO NOT USE THIS. Private use for {@link BayesianOpponentModel}.
 */

abstract class Hypothesis {
        final private double p;

        /**
         * 
         * @param p the probability of the item
         */
        public Hypothesis(double p) {
                if (p < 0 || p > 1)
                        throw new IllegalArgumentException("p must be in [0,1], got " + p);
                this.p = p;
        }

        /**
         * 
         * @return the probability that this hypothesis holds
         */
        public double getProbability() {
                return p;
        }

        /**
         * Subclasses implement this. We can not implement it here because
         * subclasses return a more specific class than Hypothesis.
         * 
         * @param p the new probability value.
         * @return new Hypothesis with p set to this value (and the rest unchanged).
         */
        public abstract Hypothesis with(double p);

        @Override
        public int hashCode() {
                final int prime = 31;
                int result = 1;
                long temp;
                temp = Double.doubleToLongBits(p);
                result = prime * result + (int) (temp ^ (temp >>> 32));
                return result;
        }

        @Override
        public boolean equals(Object obj) {
                if (this == obj)
                        return true;
                if (obj == null)
                        return false;
                if (getClass() != obj.getClass())
                        return false;
                Hypothesis other = (Hypothesis) obj;
                if (Double.doubleToLongBits(p) != Double.doubleToLongBits(other.p))
                        return false;
                return true;
        }

}