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/*
 * Licensed to the Apache Software Foundation (ASF) under one or more
 * contributor license agreements.  See the NOTICE file distributed with
 * this work for additional information regarding copyright ownership.
 * The ASF licenses this file to You 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.apache.commons.math3.stat.descriptive.rank;

import java.io.Serializable;

import org.apache.commons.math3.exception.MathIllegalArgumentException;
import org.apache.commons.math3.exception.NullArgumentException;
import org.apache.commons.math3.stat.ranking.NaNStrategy;
import org.apache.commons.math3.util.KthSelector;


/**
 * Returns the median of the available values.  This is the same as the 50th percentile.
 * See {@link Percentile} for a description of the algorithm used.
 * 

* Note that this implementation is not synchronized. If * multiple threads access an instance of this class concurrently, and at least * one of the threads invokes the increment() or * clear() method, it must be synchronized externally.

* */ public class Median extends Percentile implements Serializable { /** Serializable version identifier */ private static final long serialVersionUID = -3961477041290915687L; /** Fixed quantile. */ private static final double FIXED_QUANTILE_50 = 50.0; /** * Default constructor. */ public Median() { // No try-catch or advertised exception - arg is valid super(FIXED_QUANTILE_50); } /** * Copy constructor, creates a new {@code Median} identical * to the {@code original} * * @param original the {@code Median} instance to copy * @throws NullArgumentException if original is null */ public Median(Median original) throws NullArgumentException { super(original); } /** * Constructs a Median with the specific {@link EstimationType}, {@link NaNStrategy} and {@link PivotingStrategy}. * * @param estimationType one of the percentile {@link EstimationType estimation types} * @param nanStrategy one of {@link NaNStrategy} to handle with NaNs * @param kthSelector {@link KthSelector} to use for pivoting during search * @throws MathIllegalArgumentException if p is not within (0,100] * @throws NullArgumentException if type or NaNStrategy passed is null */ private Median(final EstimationType estimationType, final NaNStrategy nanStrategy, final KthSelector kthSelector) throws MathIllegalArgumentException { super(FIXED_QUANTILE_50, estimationType, nanStrategy, kthSelector); } /** {@inheritDoc} */ @Override public Median withEstimationType(final EstimationType newEstimationType) { return new Median(newEstimationType, getNaNStrategy(), getKthSelector()); } /** {@inheritDoc} */ @Override public Median withNaNStrategy(final NaNStrategy newNaNStrategy) { return new Median(getEstimationType(), newNaNStrategy, getKthSelector()); } /** {@inheritDoc} */ @Override public Median withKthSelector(final KthSelector newKthSelector) { return new Median(getEstimationType(), getNaNStrategy(), newKthSelector); } }




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