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

There is a newer version: 2.12.15

package io.virtdata.api;

import io.virtdata.core.Bindings;

/**
 * ValuesBinder provides a way to apply an map of named object values to a template
 * object of type T to yield a new object instance of type R. Get the values you need
 * from the bindings in any appropriate way and apply them to your template object.
 *
 * 
Parameter Examples:
 * 
 *     T: prepared Statement, R: bound statement
 *     T: string template, R: interpolated string value
 * 
 *
 * @param  The template type
 * @param  The result type
 */
public interface ValuesBinder {

    /**
     * Using context instance of type S, AKA the template, create and bind values to
     * target object of type R
     * @param context A context object that knows how to provide an instance of type R
     * @param bindings A Bindings instance from which to draw the values
     * @param cycle The cycle for which to generate the values
     * @return The new result instance of R
     */
    R bindValues(T context, Bindings bindings, long cycle);
}