/* Copyright (c) 2012 LinkedIn Corp. 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 com.linkedin.data.template; import com.linkedin.data.DataList; import com.linkedin.data.schema.ArrayDataSchema; import java.util.Collection; /** * {@link DataTemplate} for an integer array. */ public final class IntegerArray extends DirectArrayTemplate<Integer> { private static final ArrayDataSchema SCHEMA = (ArrayDataSchema) DataTemplateUtil.parseSchema("{ \"type\" : \"array\", \"items\" : \"int\" }"); public IntegerArray() { this(new DataList()); } public IntegerArray(int initialCapacity) { this(new DataList(initialCapacity)); } public IntegerArray(Collection<Integer> c) { this(new DataList(c.size())); addAll(c); } public IntegerArray(DataList list) { super(list, SCHEMA, Integer.class, Integer.class); } @Override public IntegerArray clone() throws CloneNotSupportedException { return (IntegerArray) super.clone(); } @Override public IntegerArray copy() throws CloneNotSupportedException { return (IntegerArray) super.copy(); } }