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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) 2008-2011, CERN. All rights reserved.
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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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// @formatter:on

package org.tensorics.core.tensorbacked.lang;

import static org.tensorics.core.tensor.expressions.TensorExpressions.elementwise;
import static org.tensorics.core.tensorbacked.expressions.TensorbackedExpressions.extracted;
import static org.tensorics.core.tensorbacked.expressions.TensorbackedExpressions.wrapped;

import org.tensorics.core.quantity.QuantifiedValue;
import org.tensorics.core.quantity.operations.QuantityOperationRepository;
import org.tensorics.core.quantity.options.QuantityEnvironment;
import org.tensorics.core.tensorbacked.Tensorbacked;
import org.tensorics.core.tree.domain.Expression;

/**
 * Provides starting point methods for tensoric eDSL language expressions that describe expressions of tensors of
 * quantities.
 * 
 * @author kfuchsbe
 * @param  the type of the elements of the field on which all the operations are based on.
 */
public class QuantityTensorbackedExpressionSupport {

    private final QuantityOperationRepository operationRepository;

    public QuantityTensorbackedExpressionSupport(QuantityEnvironment environment) {
        this.operationRepository = new QuantityOperationRepository<>(environment);
    }

    public final >> Expression elementNegativeOfTB(
            Class resultClass, Expression tensorbacked) {
        return wrapped(resultClass, elementwise(operationRepository.additiveInversion(), extracted(tensorbacked)));
    }

    public final >> OngoingDeferredQuantifiedTensorBackedOperation //
    calculateTB(Class resultClass, Expression left) {
        return new OngoingDeferredQuantifiedTensorBackedOperation<>(operationRepository, resultClass, left);
    }

}