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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.runner;

import org.junit.runners.Suite;
import org.junit.runners.model.InitializationError;
import org.junit.runners.model.RunnerBuilder;

/**
 * Represents a strategy for computing runners and suites.
 * WARNING: this class is very likely to undergo serious changes in version 4.8 and
 * beyond.
 *
 * @since 4.6
 */
public class Computer {
    /**
     * Returns a new default computer, which runs tests in serial order
     */
    public static Computer serial() {
        return new Computer();
    }

    /**
     * Create a suite for {@code classes}, building Runners with {@code builder}.
     * Throws an InitializationError if Runner construction fails
     */
    public Runner getSuite(final RunnerBuilder builder,
            Class[] classes) throws InitializationError {
        return new Suite(new RunnerBuilder() {
            @Override
            public Runner runnerForClass(Class testClass) throws Throwable {
                return getRunner(builder, testClass);
            }
        }, classes);
    }

    /**
     * Create a single-class runner for {@code testClass}, using {@code builder}
     */
    protected Runner getRunner(RunnerBuilder builder, Class testClass) throws Throwable {
        return builder.runnerForClass(testClass);
    }
}




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