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Statistical sampling library for use in virtualdataset libraries, based on apache commons math 4

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/**
 * Logback: the reliable, generic, fast and flexible logging framework.
 * Copyright (C) 1999-2015, QOS.ch. All rights reserved.
 *
 * This program and the accompanying materials are dual-licensed under
 * either the terms of the Eclipse Public License v1.0 as published by
 * the Eclipse Foundation
 *
 *   or (per the licensee's choosing)
 *
 * under the terms of the GNU Lesser General Public License version 2.1
 * as published by the Free Software Foundation.
 */
package ch.qos.logback.classic.sift;

import ch.qos.logback.classic.spi.ILoggingEvent;
import ch.qos.logback.core.sift.AbstractDiscriminator;

/**
 * This discriminator returns the value context to which this event is attached
 * to. If the said value is null, then a default value is returned.
 * 
 * 

* Both Key and the DefaultValue are user specified properties. * * @author Ceki Gülcü * */ public class ContextBasedDiscriminator extends AbstractDiscriminator { private static final String KEY = "contextName"; private String defaultValue; /** * Return the name of the current context name as found in the logging event. */ public String getDiscriminatingValue(ILoggingEvent event) { String contextName = event.getLoggerContextVO().getName(); if (contextName == null) { return defaultValue; } else { return contextName; } } public String getKey() { return KEY; } public void setKey(String key) { throw new UnsupportedOperationException("Key cannot be set. Using fixed key " + KEY); } /** * @see #setDefaultValue(String) * @return */ public String getDefaultValue() { return defaultValue; } /** * The default context name in case the context name is not set for the * current logging event. * * @param defaultValue */ public void setDefaultValue(String defaultValue) { this.defaultValue = defaultValue; } }





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