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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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*
* This file is part of tensorics.
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* 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,
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package org.tensorics.core.function;
import java.util.function.Function;
import org.tensorics.core.tensor.Position;
import org.tensorics.core.tensor.Tensor;
import org.tensorics.core.tensorbacked.Tensorbacked;
/**
* Contains utility methods for functions related to tensorics
*
* @author kfuchsbe
*/
public final class TensoricFunctions {
private TensoricFunctions() {
/* only static methods */
}
public final static Function forTensor(Tensor tensor) {
return new PositionToScalarFunction(tensor);
}
public final static Function forTensorbacked(Tensorbacked tensor) {
return forTensor(tensor.tensor());
}
public final static Function singleCoordinate() {
return new CoordinateToPositionFunction();
}
public final static Function singleCoordinateToValue(Tensor tensor) {
return forTensor(tensor).compose(TensoricFunctions. singleCoordinate());
}
public final static Function singleCoordinateToValue(Tensorbacked tensorbacked) {
return singleCoordinateToValue(tensorbacked.tensor());
}
}