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Java-based middleware for in-memory processing of big data in a distributed environment.
/*
Copyright (C) GridGain Systems. 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.
*/
/* _________ _____ __________________ _____
* __ ____/___________(_)______ /__ ____/______ ____(_)_______
* _ / __ __ ___/__ / _ __ / _ / __ _ __ `/__ / __ __ \
* / /_/ / _ / _ / / /_/ / / /_/ / / /_/ / _ / _ / / /
* \____/ /_/ /_/ \_,__/ \____/ \__,_/ /_/ /_/ /_/
*/
package org.gridgain.grid.util.lang;
import org.gridgain.grid.util.typedef.*;
import org.gridgain.grid.util.typedef.internal.*;
import org.gridgain.grid.util.tostring.*;
import java.io.*;
import java.util.*;
/**
* Constructs a tuple over a given array.
* Thread Safety
* This class doesn't provide any synchronization for multi-threaded access
* and it is responsibility of the user of this class to provide outside
* synchronization, if needed.
* @see GridFunc#tv(Object...)
*/
public class GridTupleV implements Iterable
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