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