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A bundle project producing JAX-RS RI bundles. The primary artifact is an "all-in-one" OSGi-fied JAX-RS RI bundle (jaxrs-ri.jar). Attached to that are two compressed JAX-RS RI archives. The first archive (jaxrs-ri.zip) consists of binary RI bits and contains the API jar (under "api" directory), RI libraries (under "lib" directory) as well as all external RI dependencies (under "ext" directory). The secondary archive (jaxrs-ri-src.zip) contains buildable JAX-RS RI source bundle and contains the API jar (under "api" directory), RI sources (under "src" directory) as well as all external RI dependencies (under "ext" directory). The second archive also contains "build.xml" ANT script that builds the RI sources. To build the JAX-RS RI simply unzip the archive, cd to the created jaxrs-ri directory and invoke "ant" from the command line.

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/*
 * Copyright (C) 2008 The Guava Authors
 *
 * 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.glassfish.jersey.internal.guava;

import java.io.Serializable;
import java.util.HashMap;
import java.util.Map;
import java.util.function.Supplier;

/**
 * Implementation of {@link Table} using hash tables.
 * 

*

The views returned by {@link #column}, {@link #columnKeySet()}, and {@link * #columnMap()} have iterators that don't support {@code remove()}. Otherwise, * all optional operations are supported. Null row keys, columns keys, and * values are not supported. *

*

Lookups by row key are often faster than lookups by column key, because * the data is stored in a {@code Map>}. A method call like {@code * column(columnKey).get(rowKey)} still runs quickly, since the row key is * provided. However, {@code column(columnKey).size()} takes longer, since an * iteration across all row keys occurs. *

*

Note that this implementation is not synchronized. If multiple threads * access this table concurrently and one of the threads modifies the table, it * must be synchronized externally. *

*

See the Guava User Guide article on * {@code Table}. * * @author Jared Levy * @since 7.0 */ public class HashBasedTable extends StandardTable { private static final long serialVersionUID = 0; private HashBasedTable(Map> backingMap, Factory factory) { super(backingMap, factory); } /** * Creates an empty {@code HashBasedTable}. */ public static HashBasedTable create() { return new HashBasedTable( new HashMap>(), new Factory(0)); } // Overriding so NullPointerTester test passes. @Override public boolean contains( Object rowKey, Object columnKey) { return super.contains(rowKey, columnKey); } @Override public boolean containsColumn(Object columnKey) { return super.containsColumn(columnKey); } @Override public boolean containsValue(Object value) { return super.containsValue(value); } @Override public V get(Object rowKey, Object columnKey) { return super.get(rowKey, columnKey); } @Override public boolean equals(Object obj) { return super.equals(obj); } private static class Factory implements Supplier>, Serializable { private static final long serialVersionUID = 0; final int expectedSize; Factory(int expectedSize) { this.expectedSize = expectedSize; } @Override public Map get() { return Maps.newHashMapWithExpectedSize(expectedSize); } } }





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