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Tensorics is a java framework which uses a tensor as a central object. A tensor represents a set of values placed in an N-dimensional space. Wherever you are tempted to use maps of maps, a tensor might be a good choice ;-) Tensorics provides methods to create, transform and performing calculations with those tensors.

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/**
 * Copyright (c) 2016 European Organisation for Nuclear Research (CERN), All Rights Reserved.
 */

package org.tensorics.core.reduction;

import java.util.Map;

import org.tensorics.core.function.DiscreteFunction;
import org.tensorics.core.function.MapBackedDiscreteFunction;
import org.tensorics.core.tensor.Position;

/**
 * A reduction strategy which reduces all elements of dimension  by transforming them into a {@link DiscreteFunction}
 * s from  to 
 * 
 * @author kfuchsbe, caguiler
 * @param  the type of the values along the X-axis, the type of coordinate (aka 'the dimension') do be reduced
 * @param  the type of the tensor elements and also the type of the values along the Y-axis
 */
public final class ToFunctions implements ReductionStrategy> {

    @Override
    public DiscreteFunction reduce(Map inputValues, Position position) {
        return MapBackedDiscreteFunction.fromMap(inputValues);
    }

    @Override
    public Position context(Position originalContext) {
        return originalContext;
    }
}