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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.
*
* 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.annotation;
import java.lang.annotation.ElementType;
import java.lang.annotation.Retention;
import java.lang.annotation.RetentionPolicy;
import java.lang.annotation.Target;
/**
* This is intended to be used on classes implementing the Tensorbacked interface to define the desired dimensions on
* them. It will be used by the framework, to decide e.g. what dimensions to reduce and to perform precondition-checks
* before creating the corresponding instances. It takes an array of classes as argument, to describe which dimensions
* the tensor backed instance expects.
*
* @author kfuchsbe
*/
@Target({ ElementType.TYPE })
@Retention(RetentionPolicy.RUNTIME)
public @interface Dimensions {
Class[] value() default {}; // NOSONAR (no whitespace before }
}