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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.hadoop.mapred;


/**
 *
 * This class is a concrete PeriodicStatsAccumulator that deals with
 *  measurements where the raw data are a measurement of a
 *  time-varying quantity.  The result in each bucket is the estimate
 *  of the progress-weighted mean value of that quantity over the
 *  progress range covered by the bucket.
 *
 * 

An easy-to-understand example of this kind of quantity would be * a temperature. It makes sense to consider the mean temperature * over a progress range. * */ class StatePeriodicStats extends PeriodicStatsAccumulator { StatePeriodicStats(int count) { super(count); } /** * * accumulates a new reading by keeping a running account of the * area under the piecewise linear curve marked by pairs of * {@code newProgress, newValue} . */ @Override protected void extendInternal(double newProgress, int newValue) { if (state == null) { return; } // the effective height of this trapezoid if rectangularized double mean = ((double)newValue + (double)state.oldValue)/2.0D; // conceptually mean * (newProgress - state.oldProgress) / (1 / count) state.currentAccumulation += mean * (newProgress - state.oldProgress) * count; } }





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