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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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 * 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
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 *     http://www.apache.org/licenses/LICENSE-2.0
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package org.tensorics.core.tensorbacked.lang;

import org.tensorics.core.iterable.lang.QuantityIterableSupport;
import org.tensorics.core.quantity.QuantifiedValue;
import org.tensorics.core.quantity.operations.QuantityOperationRepository;
import org.tensorics.core.quantity.options.QuantityEnvironment;
import org.tensorics.core.tensor.Tensor;
import org.tensorics.core.tensor.operations.ElementUnaryOperation;
import org.tensorics.core.tensorbacked.Tensorbacked;
import org.tensorics.core.tensorbacked.TensorbackedInternals;

/**
 * Provides starting methods for tensoric eDSL expressions, which are related to tensors of quantities.
 * 
 * @author kfuchsbe
 * @param  the type of the scalar values (elements of the field on which the operations are based on)
 */
public class QuantityTensorbackedSupport extends QuantityIterableSupport {

    private final QuantityOperationRepository pseudoField;

    public QuantityTensorbackedSupport(QuantityEnvironment environment) {
        super(environment);
        this.pseudoField = new QuantityOperationRepository<>(environment);
    }

    public >> OngoingQuantifiedTensorBackedOperation calculate(
            QTB left) {
        return new OngoingQuantifiedTensorBackedOperation<>(pseudoField, left);
    }

    public >> QTB negativeOf(QTB tensorBacked) {
        Tensor> perform = new ElementUnaryOperation<>(pseudoField.additiveInversion())
                .perform(tensorBacked.tensor());
        /* safe cast since we ensure QTB as a type in the argument! */
        @SuppressWarnings("unchecked")
        Class tensorBackedClass = (Class) tensorBacked.getClass();
        return TensorbackedInternals.createBackedByTensor(tensorBackedClass, perform);
    }

}