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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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package org.tensorics.core.tensor.options;

import org.tensorics.core.tensor.Shape;
import org.tensorics.core.tensor.Tensor;

/**
 * Implementation of {@link ShapingStrategy} that checks if for two given {@link Tensor} objects shapes are exactly the
 * same (type of the coordinates, number of dimensions and coordinates instances). Otherwise it throws and
 * IllegalArgumentException.
 * 
 * @author agorzaws
 */
public class ExactShapesOrOneZeroStrategy implements ShapingStrategy {

    @Override
    public  Shape shapeLeftRight(Tensor first, Tensor second) {
        Shape shapeOfFirst = first.shape();
        Shape shapeOfSecond = second.shape();
        if (shapeOfFirst.equals(shapeOfSecond)) {
            return shapeOfFirst;
        }

        if (second.shape().dimensionality() == 0 && first.shape().dimensionality() > 0) {
            return first.shape();
        }

        if (first.shape().dimensionality() == 0 && second.shape().dimensionality() > 0) {
            return second.shape();
        }

        throw new IllegalArgumentException("Given tensors have different SHAPES. Cannot perform " + this.getClass()
                + " multiplication with them.");
    }

    @Override
    public Class getMarkerInterface() {
        return ShapingStrategy.class;
    }
}




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