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REDNACO Commons and Utils for Java.
/*
* 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 io.github.matteobertozzi.rednaco.math;
import java.util.Arrays;
public class Histogram {
private final long[] bounds;
private final long[] events;
private long minValue;
private long maxValue;
private long sumSquares;
private long sum;
public Histogram(final long[] bounds) {
this.bounds = bounds;
this.events = new long[bounds.length + 1];
this.minValue = Long.MAX_VALUE;
this.maxValue = Long.MIN_VALUE;
this.sumSquares = 0;
this.sum = 0;
}
public void reset() {
Arrays.fill(events, 0);
this.minValue = Long.MAX_VALUE;
this.maxValue = Long.MIN_VALUE;
this.sumSquares = 0;
this.sum = 0;
}
public void add(final long value) {
final int boundIndex = findBoundIndex(value);
events[boundIndex]++;
minValue = Math.min(minValue, value);
maxValue = Math.max(maxValue, value);
sumSquares += (value * value);
sum += value;
}
private int findBoundIndex(final long value) {
for (int i = 0; i < bounds.length; ++i) {
if (value < bounds[i]) {
return i;
}
}
return bounds.length;
}
public long numEvents() {
return Statistics.sum(events, 0, events.length);
}
public long bounds(final int index) {
return bounds[index];
}
public long events(final int index) {
return events[index];
}
public long sum() {
return sum;
}
public long minValue() {
return minValue;
}
public long maxValue() {
return maxValue;
}
public double average() {
return Statistics.average(numEvents(), sum);
}
public double standardDeviation() {
return Statistics.standardDeviation(numEvents(), sum, sumSquares);
}
public double median() { return percentile(50.0); }
public double percentile(final double p) {
return Statistics.percentile(p, bounds, minValue, maxValue, numEvents(), events, 0);
}
}
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