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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
/*******************************************************************************
*
* This file is part of tensorics.
*
* 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,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
******************************************************************************/
// @formatter:on
package org.tensorics.core.tensorbacked;
import java.io.Serializable;
import org.tensorics.core.tensor.Tensor;
/**
* An abstract class for classes that are backed by a tensor. The purpose of such classes is that they can be used for
* calculations just in the same way (or at least in a similar way) as tensors themselves.
*
* @author kfuchsbe
* @param the type of the elements of the tensor, which backs this class
* @see Tensorbacked
*/
public abstract class AbstractTensorbacked implements Tensorbacked, Serializable {
private static final long serialVersionUID = 1L;
protected final Tensor backingTensor;
public AbstractTensorbacked(Tensor tensor) {
this.backingTensor = tensor;
}
@Override
public Tensor tensor() {
return this.backingTensor;
}
@Override
public int hashCode() {
final int prime = 31;
int result = 1;
result = prime * result + ((backingTensor == null) ? 0 : backingTensor.hashCode());
return result;
}
@Override
public boolean equals(Object obj) {
if (this == obj) {
return true;
}
if (obj == null) {
return false;
}
if (getClass() != obj.getClass()) {
return false;
}
AbstractTensorbacked other = (AbstractTensorbacked) obj;
if (backingTensor == null) {
if (other.backingTensor != null) {
return false;
}
} else if (!backingTensor.equals(other.backingTensor)) {
return false;
}
return true;
}
@Override
public String toString() {
return getClass().getSimpleName() + " [backingTensor=" + backingTensor + "]";
}
}