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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.
// @formatter:off
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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
*
* http://www.apache.org/licenses/LICENSE-2.0
*
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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;
}
}