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Statistical sampling library for use in virtualdataset libraries, based on apache commons math 4

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package org.junit.experimental.theories;

import java.util.List;

/**
 * Abstract parent class for suppliers of input data points for theories. Extend this class to customize how {@link
 * org.junit.experimental.theories.Theories Theories} runner
 * finds accepted data points. Then use your class together with @ParametersSuppliedBy on input
 * parameters for theories.
 *
 * 
 * For example, here is a supplier for values between two integers, and an annotation that references it:
 *
 * 
 *     @Retention(RetentionPolicy.RUNTIME)
 *     @ParametersSuppliedBy(BetweenSupplier.class)
 *     public @interface Between {
 *         int first();
 *
 *         int last();
 *     }
 *
 *     public static class BetweenSupplier extends ParameterSupplier {
 *         @Override
 *         public List<PotentialAssignment> getValueSources(ParameterSignature sig) {
 *             List<PotentialAssignment> list = new ArrayList<PotentialAssignment>();
 *             Between annotation = (Between) sig.getSupplierAnnotation();
 *
 *             for (int i = annotation.first(); i <= annotation.last(); i++)
 *                 list.add(PotentialAssignment.forValue("ints", i));
 *             return list;
 *         }
 *     }
 * 
 * 
 *
 * @see org.junit.experimental.theories.ParametersSuppliedBy
 * @see org.junit.experimental.theories.Theories
 * @see org.junit.experimental.theories.FromDataPoints
 */
public abstract class ParameterSupplier {
    public abstract List getValueSources(ParameterSignature sig) throws Throwable;
}