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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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// @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,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
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// @formatter:on
package org.tensorics.core.tensorbacked.lang;

import org.tensorics.core.tensor.Tensor;
import org.tensorics.core.tensor.lang.TensorStructurals;
import org.tensorics.core.tensorbacked.Tensorbacked;
import org.tensorics.core.tensorbacked.TensorbackedInternals;

import com.google.common.base.Preconditions;

public class OngoingTensorbackedConstruction> {

    private final Class tensorbackedClass;

    public OngoingTensorbackedConstruction(Class tensorbackedClass) {
        super();
        this.tensorbackedClass = Preconditions.checkNotNull(tensorbackedClass, "tensorbackedClass must not be null");
    }

    public TB byMerging(Iterable> tensors) {
        return TensorbackedInternals.createBackedByTensor(tensorbackedClass, TensorStructurals.merge(tensors));
    }

    public TB byMergingTb(Iterable> tensorbackeds) {
        return byMerging(TensorbackedInternals.tensorsOf(tensorbackeds));
    }

}