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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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 * This file is part of tensorics.
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 * Copyright (c) 2008-2011, 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,
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package org.tensorics.core.tensor.lang;

import org.tensorics.core.commons.options.Environment;
import org.tensorics.core.iterable.lang.ScalarIterableSupport;
import org.tensorics.core.math.operations.BinaryFunction;
import org.tensorics.core.math.operations.BinaryOperation;
import org.tensorics.core.tensor.Shape;
import org.tensorics.core.tensor.Tensor;
import org.tensorics.core.tensor.operations.ElementBinaryFunction;
import org.tensorics.core.tensor.operations.ElementBinaryOperation;
import org.tensorics.core.tensor.operations.ElementUnaryOperation;
import org.tensorics.core.tensor.operations.SingleValueTensorCreationOperation;

/**
 * Extends the usage of fields by operations defined on tensors
 * 
 * @author kfuchsbe, agorzaws
 * @param  the type of the elements of the tensor(ic)
 */
public class TensorSupport extends ScalarIterableSupport {

    private final Environment environment;

    public TensorSupport(Environment environment) {
        super(environment.field());
        this.environment = environment;
    }

    /**
     * Allows to perform calculation on given tensoric.
     * 
     * @param tensoric to calculate with.
     * @return expression to calculate.
     */
    public final  OngoingTensorOperation calculate(Tensor tensoric) {
        return new OngoingTensorOperation<>(environment, tensoric);
    }

    /**
     * returns a ZERO value {@link Tensor} for given {@link Shape}.
     * 
     * @param shape to use.
     * @return a {@link Tensor} of given {@link Shape} filled with 0.0;
     */
    public Tensor zeros(Shape shape) {
        return new SingleValueTensorCreationOperation(shape, environment.field().zero()).perform();
    }

    /**
     * returns a IDENTITY value {@link Tensor} for given {@link Shape}.
     * 
     * @param shape to use.
     * @return a {@link Tensor} of given {@link Shape} filled with field identities;
     */
    public Tensor ones(Shape shape) {
        return new SingleValueTensorCreationOperation(shape, environment.field().one()).perform();
    }

    /**
     * @param tensor to use.s
     * @return a {@link Tensor} with field inverse values
     */
    public Tensor elementInverseOf(Tensor tensor) {
        return new ElementUnaryOperation(environment.field().multiplicativeInversion()).perform(tensor);
    }

    /**
     * @param tensor to use
     * @return a {@link Tensor} of negative values
     */
    public Tensor negativeOf(Tensor tensor) {
        return new ElementUnaryOperation(environment.field().additiveInversion()).perform(tensor);
    }

    public  Tensor elementwise(BinaryOperation operation, Tensor left, Tensor right) {
        return new ElementBinaryOperation<>(operation, environment.options()).perform(left, right);
    }

    public  Tensor elementwise(BinaryFunction operation, Tensor left, Tensor right) {
        return new ElementBinaryFunction<>(operation, environment.options()).perform(left, right);
    }
}