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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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// @formatter:off
 /*******************************************************************************
 *
 * This file is part of tensorics.
 * 
 * Copyright (c) 2008-2016, CERN. All rights reserved.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 *     http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 * 
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// @formatter:on
package org.tensorics.core.function.operations;

import java.util.Collection;
import java.util.stream.Collectors;

import org.tensorics.core.commons.operations.Conversion;
import org.tensorics.core.function.DiscreteFunction;

import com.google.common.base.Preconditions;

/**
 * A conversion that takes a {@link DiscreteFunction} and produces an iterable that contains the values of its codomain.
 * 
 * @author caguiler
 * @param  the type of the dependent variable (output)of the discrete function
 * @see https://en.wikipedia.org/wiki/Codomain
 */
public class CodomainExtraction implements Conversion, Iterable> {

    @Override
    public Iterable apply(DiscreteFunction inputfunction) {
        return yValuesOf(inputfunction);
    }
    
    private static  Collection yValuesOf(DiscreteFunction function) {
        Preconditions.checkNotNull(function, "function cannot be null!");
        return function.definedXValues().stream().map(function::apply).collect(Collectors.toList());
    }
}