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.lang.Double.NaN; 023import static java.util.Objects.requireNonNull; 024 025import java.io.Serial; 026import java.io.Serializable; 027import java.util.IntSummaryStatistics; 028import java.util.function.ToIntFunction; 029import java.util.stream.Collector; 030 031/** 032 * <i>Value</i> objects which contains statistical summary information. 033 * 034 * @see java.util.IntSummaryStatistics 035 * 036 * @param count the count of values recorded 037 * @param min the minimum value recorded, or {@link Integer#MAX_VALUE} if no 038 * values have been recorded 039 * @param max the maximum value recorded, or {@link Integer#MIN_VALUE} if no 040 * values have been recorded 041 * @param sum the sum of values recorded, or zero if no values have been recorded 042 * @param mean the arithmetic mean of values recorded, or zero if no values have 043 * been recorded 044 * 045 * @author <a href="mailto:franz.wilhelmstoetter@gmail.com">Franz Wilhelmstötter</a> 046 * @since 3.0 047 * @version 7.0 048 */ 049public record IntSummary( 050 long count, 051 int min, 052 int max, 053 long sum, 054 double mean 055) 056 implements Serializable 057{ 058 059 @Serial 060 private static final long serialVersionUID = 2L; 061 062 @Override 063 public String toString() { 064 return String.format( 065 "IntSummary[N=%d, ∧=%s, ∨=%s, Σ=%s, μ=%s]", 066 count(), min(), max(), sum(), mean() 067 ); 068 } 069 070 /** 071 * Return a new value object of the statistical summary, currently 072 * represented by the {@code statistics} object. 073 * 074 * @param statistics the creating (mutable) statistics class 075 * @return the statistical moments 076 */ 077 public static IntSummary of(final IntSummaryStatistics statistics) { 078 return new IntSummary( 079 statistics.getCount(), 080 statistics.getMin(), 081 statistics.getMax(), 082 statistics.getSum(), 083 statistics.getAverage() 084 ); 085 } 086 087 /** 088 * Return a {@code Collector} which applies an int-producing mapping 089 * function to each input element, and return summary-statistics for the 090 * resulting values. 091 * {@snippet lang="java": 092 * final Stream<SomeObject> stream = null; // @replace substring='null' replacement="..." 093 * final IntSummary summary = stream 094 * .collect(toIntSummary(v -> v.intValue())); 095 * } 096 * 097 * @param mapper a mapping function to apply to each element 098 * @param <T> the type of the input elements 099 * @return a {@code Collector} implementing the summary-statistics reduction 100 * @throws java.lang.NullPointerException if the given {@code mapper} is 101 * {@code null} 102 */ 103 public static <T> Collector<T, ?, IntSummary> 104 toIntSummary(final ToIntFunction<? super T> mapper) { 105 requireNonNull(mapper); 106 return Collector.of( 107 IntSummaryStatistics::new, 108 (a, b) -> a.accept(mapper.applyAsInt(b)), 109 (a, b) -> {a.combine(b); return a;}, 110 IntSummary::of 111 ); 112 } 113 114 115 /* ************************************************************************* 116 * Some static helper methods. 117 **************************************************************************/ 118 119 /** 120 * Return the minimum value of the given double array. 121 * 122 * @since 4.0 123 * 124 * @param values the array. 125 * @return the minimum value or {@link Integer#MAX_VALUE} if the given array is 126 * empty. 127 * @throws NullPointerException if the given array is {@code null}. 128 */ 129 public static int min(final int[] values) { 130 int min = Integer.MAX_VALUE; 131 if (values.length > 0) { 132 min = values[0]; 133 for (int value : values) { 134 if (value < min) { 135 min = value; 136 } 137 } 138 } 139 140 return min; 141 } 142 143 /** 144 * Return the maximum value of the given double array. 145 * 146 * @since 4.0 147 * 148 * @param values the array. 149 * @return the maximum value or {@link Integer#MIN_VALUE} if the given array is 150 * empty. 151 * @throws NullPointerException if the given array is {@code null}. 152 */ 153 public static int max(final int[] values) { 154 int max = Integer.MIN_VALUE; 155 if (values.length > 0) { 156 max = values[0]; 157 for (int value : values) { 158 if (value > max) { 159 max = value; 160 } 161 } 162 } 163 164 return max; 165 } 166 167 /** 168 * Return the sum of the given double array. 169 * 170 * @since 4.0 171 * 172 * @param values the values to sum up. 173 * @return the sum of the given {@code values}. 174 * @throws NullPointerException if the given array is {@code null}. 175 */ 176 public static long sum(final int[] values) { 177 long sum = 0; 178 for (int i = values.length; --i >= 0;) { 179 sum += values[i]; 180 } 181 return sum; 182 } 183 184 /** 185 * Returns a double describing the arithmetic mean of the values, or 186 * {@link Double#NaN} if the {@code values} array is empty. 187 * 188 * @since 4.0 189 * 190 * @param values the values to calculate the mean of 191 * @return the arithmetic mean of the given {@code values} or 192 * {@link Double#NaN} if the {@code values} array is empty 193 * @throws NullPointerException if the given array is {@code null}. 194 */ 195 public static double mean(final int[] values) { 196 return values.length > 0 ? (double)sum(values)/values.length : NaN; 197 } 198 199}