001/* 002 * Java Genetic Algorithm Library (jenetics-8.1.0). 003 * Copyright (c) 2007-2024 Franz Wilhelmstötter 004 * 005 * Licensed under the Apache License, Version 2.0 (the "License"); 006 * you may not use this file except in compliance with the License. 007 * You may obtain a copy of the License at 008 * 009 * http://www.apache.org/licenses/LICENSE-2.0 010 * 011 * Unless required by applicable law or agreed to in writing, software 012 * distributed under the License is distributed on an "AS IS" BASIS, 013 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 014 * See the License for the specific language governing permissions and 015 * limitations under the License. 016 * 017 * Author: 018 * Franz Wilhelmstötter (franz.wilhelmstoetter@gmail.com) 019 */ 020package io.jenetics.stat; 021 022import static java.util.Objects.requireNonNull; 023 024import java.util.function.DoubleConsumer; 025import java.util.function.ToDoubleFunction; 026import java.util.stream.Collector; 027 028import io.jenetics.internal.math.DoubleAdder; 029 030/** 031 * A state object for collecting statistics such as count, min, max, sum, mean, 032 * variance, skewness and kurtosis. The design of this class is similar to the 033 * {@link java.util.DoubleSummaryStatistics} class. 034 * <p> 035 * This class is designed to work with (though does not require) streams. For 036 * example, you can compute moments-statistics on a stream of doubles with: 037 * {@snippet lang="java": 038 * final DoubleStream stream = null; // @replace substring='null' replacement="..." 039 * final DoubleMomentStatistics statistics = stream.collect( 040 * DoubleMomentStatistics::new, 041 * DoubleMomentStatistics::accept, 042 * DoubleMomentStatistics::combine 043 * ); 044 * } 045 * 046 * For a non-double stream, you can use a collector: 047 * {@snippet lang="java": 048 * final Stream<SomeObject> stream = null; // @replace substring='null' replacement="..." 049 * final DoubleMomentStatistics statistics = stream 050 * .collect(toDoubleMomentStatistics(v -> v.doubleValue())); 051 * } 052 * 053 * @implNote 054 * This implementation is not thread safe. However, it is safe to use 055 * {@link #toDoubleMomentStatistics(ToDoubleFunction)} on a parallel stream, 056 * because the parallel implementation of 057 * {@link java.util.stream.Stream#collect Stream.collect()} 058 * provides the necessary partitioning, isolation, and merging of results for 059 * safe and efficient parallel execution. 060 * 061 * @see java.util.DoubleSummaryStatistics 062 * @see io.jenetics.stat.DoubleMoments 063 * @see <a href="http://people.xiph.org/~tterribe/notes/homs.html"> 064 * Computing Higher-Order Moments Online</a> 065 * 066 * @author <a href="mailto:franz.wilhelmstoetter@gmail.com">Franz Wilhelmstötter</a> 067 * @since 3.0 068 * @version 6.0 069 */ 070public class DoubleMomentStatistics 071 extends MomentStatistics 072 implements DoubleConsumer 073{ 074 075 private double _min = Double.POSITIVE_INFINITY; 076 private double _max = Double.NEGATIVE_INFINITY; 077 078 private final DoubleAdder _sum = new DoubleAdder(); 079 080 /** 081 * Create an empty moments object. 082 */ 083 public DoubleMomentStatistics() { 084 } 085 086 /** 087 * Records a new value into the moment information 088 * 089 * @param value the input {@code value} 090 */ 091 @Override 092 public void accept(final double value) { 093 super.accept(value); 094 _min = Math.min(_min, value); 095 _max = Math.max(_max, value); 096 _sum.add(value); 097 } 098 099 /** 100 * Combine two {@code DoubleMoments} statistic objects. 101 * 102 * @param other the other {@code DoubleMoments} statistics to combine with 103 * {@code this} one. 104 * @return {@code this} statistics object 105 * @throws java.lang.NullPointerException if the other statistical summary 106 * is {@code null}. 107 */ 108 public DoubleMomentStatistics combine(final DoubleMomentStatistics other) { 109 super.combine(other); 110 _min = Math.min(_min, other._min); 111 _max = Math.max(_max, other._max); 112 _sum.add(other._sum); 113 114 return this; 115 } 116 117 /** 118 * Return the minimum value recorded, or {@code Double.POSITIVE_INFINITY} if 119 * no values have been recorded. 120 * 121 * @return the minimum value, or {@code Double.POSITIVE_INFINITY} if none 122 */ 123 public double min() { 124 return _min; 125 } 126 127 /** 128 * Return the maximum value recorded, or {@code Double.NEGATIVE_INFINITY} if 129 * no values have been recorded. 130 * 131 * @return the maximum value, or {@code Double.NEGATIVE_INFINITY} if none 132 */ 133 public double max() { 134 return _max; 135 } 136 137 /** 138 * Return the sum of values recorded, or zero if no values have been 139 * recorded. 140 * 141 * @return the sum of values, or zero if none 142 */ 143 public double sum() { 144 return _sum.doubleValue(); 145 } 146 147 /** 148 * Compares the state of two {@code DoubleMomentStatistics} objects. This is 149 * a replacement for the {@link #equals(Object)} which is not advisable to 150 * implement for this mutable object. If two objects have the same state, it 151 * has still the same state when updated with the same value. 152 * {@snippet lang="java": 153 * final DoubleMomentStatistics ds1 = null; // @replace substring='null' replacement="..." 154 * final DoubleMomentStatistics ds2 = null; // @replace substring='null' replacement="..." 155 * 156 * if (ds1.sameState(ds2)) { 157 * final double value = random.nextDouble(); 158 * ds1.accept(value); 159 * ds2.accept(value); 160 * 161 * assert ds1.sameState(ds2); 162 * assert ds2.sameState(ds1); 163 * assert ds1.sameState(ds1); 164 * } 165 * } 166 * 167 * @since 3.7 168 * 169 * @param other the other object for the test 170 * @return {@code true} the {@code this} and the {@code other} objects have 171 * the same state, {@code false} otherwise 172 */ 173 public boolean sameState(final DoubleMomentStatistics other) { 174 return this == other || 175 Double.compare(_min, other._min) == 0 && 176 Double.compare(_max, other._max) == 0 && 177 _sum.sameState(other._sum) && 178 super.sameState(other); 179 } 180 181 /** 182 * Return a {@code DoubleMoments} object from the current statistics, 183 * 184 * @since 3.9 185 * 186 * @return a {@code DoubleMoments} object from the current statistics 187 */ 188 public DoubleMoments toDoubleMoments() { 189 return DoubleMoments.of(this); 190 } 191 192 public DoubleMoments result() { 193 return toDoubleMoments(); 194 } 195 196 @Override 197 public String toString() { 198 return String.format( 199 "Summary[N=%d, ∧=%s, ∨=%s, Σ=%s, μ=%s, s²=%s, S=%s, K=%s]", 200 count(), _min, _max, _sum.doubleValue(), 201 mean(), variance(), skewness(), kurtosis() 202 ); 203 } 204 205 /** 206 * Return a {@code Collector} which applies a double-producing mapping 207 * function to each input element, and returns moments-statistics for the 208 * resulting values. 209 * {@snippet lang="java": 210 * final Stream<SomeObject> stream = null; // @replace substring='null' replacement="..." 211 * final DoubleMomentStatistics statistics = stream 212 * .collect(toDoubleMomentStatistics(v -> v.doubleValue())); 213 * } 214 * 215 * @param mapper a mapping function to apply to each element 216 * @param <T> the type of the input elements 217 * @return a {@code Collector} implementing the moments-statistics reduction 218 * @throws java.lang.NullPointerException if the given {@code mapper} is 219 * {@code null} 220 */ 221 public static <T> Collector<T, ?, DoubleMomentStatistics> 222 toDoubleMomentStatistics(final ToDoubleFunction<? super T> mapper) { 223 requireNonNull(mapper); 224 return Collector.of( 225 DoubleMomentStatistics::new, 226 (r, t) -> r.accept(mapper.applyAsDouble(t)), 227 DoubleMomentStatistics::combine 228 ); 229 } 230 231}