LongStatistics.java

  1. /*
  2.  * Licensed to the Apache Software Foundation (ASF) under one or more
  3.  * contributor license agreements.  See the NOTICE file distributed with
  4.  * this work for additional information regarding copyright ownership.
  5.  * The ASF licenses this file to You under the Apache License, Version 2.0
  6.  * (the "License"); you may not use this file except in compliance with
  7.  * the License.  You may obtain a copy of the License at
  8.  *
  9.  *      http://www.apache.org/licenses/LICENSE-2.0
  10.  *
  11.  * Unless required by applicable law or agreed to in writing, software
  12.  * distributed under the License is distributed on an "AS IS" BASIS,
  13.  * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
  14.  * See the License for the specific language governing permissions and
  15.  * limitations under the License.
  16.  */
  17. package org.apache.commons.statistics.descriptive;

  19. import java.math.BigInteger;
  20. import java.util.Objects;
  21. import java.util.Set;
  22. import java.util.function.DoubleConsumer;
  23. import java.util.function.Function;
  24. import java.util.function.LongConsumer;

  26. /**
  27.  * Statistics for {@code long} values.
  28.  *
  29.  * <p>This class provides combinations of individual statistic implementations in the
  30.  * {@code org.apache.commons.statistics.descriptive} package.
  31.  *
  32.  * <p>Supports up to 2<sup>63</sup> (exclusive) observations.
  33.  * This implementation does not check for overflow of the count.
  34.  *
  35.  * @since 1.1
  36.  */
  37. public final class LongStatistics implements LongConsumer {
  38.     /** Error message for non configured statistics. */
  39.     private static final String NO_CONFIGURED_STATISTICS = "No configured statistics";
  40.     /** Error message for an unsupported statistic. */
  41.     private static final String UNSUPPORTED_STATISTIC = "Unsupported statistic: ";

  43.     /** Count of values recorded. */
  44.     private long count;
  45.     /** The consumer of values. */
  46.     private final LongConsumer consumer;
  47.     /** The {@link LongMin} implementation. */
  48.     private final LongMin min;
  49.     /** The {@link LongMax} implementation. */
  50.     private final LongMax max;
  51.     /** The moment implementation. May be any instance of {@link FirstMoment}.
  52.      * This implementation uses only the third and fourth moments. */
  53.     private final FirstMoment moment;
  54.     /** The {@link LongSum} implementation. */
  55.     private final LongSum sum;
  56.     /** The {@link Product} implementation. */
  57.     private final Product product;
  58.     /** The {@link LongSumOfSquares} implementation. */
  59.     private final LongSumOfSquares sumOfSquares;
  60.     /** The {@link SumOfLogs} implementation. */
  61.     private final SumOfLogs sumOfLogs;
  62.     /** Configuration options for computation of statistics. */
  63.     private StatisticsConfiguration config;

  65.     /**
  66.      * A builder for {@link LongStatistics}.
  67.      */
  68.     public static final class Builder {
  69.         /** An empty double array. */
  70.         private static final long[] NO_VALUES = {};

  72.         /** The {@link LongMin} constructor. */
  73.         private Function<long[], LongMin> min;
  74.         /** The {@link LongMax} constructor. */
  75.         private Function<long[], LongMax> max;
  76.         /** The moment constructor. May return any instance of {@link FirstMoment}. */
  77.         private Function<long[], FirstMoment> moment;
  78.         /** The {@link LongSum} constructor. */
  79.         private Function<long[], LongSum> sum;
  80.         /** The {@link Product} constructor. */
  81.         private Function<long[], Product> product;
  82.         /** The {@link LongSumOfSquares} constructor. */
  83.         private Function<long[], LongSumOfSquares> sumOfSquares;
  84.         /** The {@link SumOfLogs} constructor. */
  85.         private Function<long[], SumOfLogs> sumOfLogs;
  86.         /** The order of the moment. It corresponds to the power computed by the {@link FirstMoment}
  87.          * instance constructed by {@link #moment}. This should only be increased from the default
  88.          * of zero (corresponding to no moment computation). */
  89.         private int momentOrder;
  90.         /** Configuration options for computation of statistics. */
  91.         private StatisticsConfiguration config = StatisticsConfiguration.withDefaults();

  93.         /**
  94.          * Create an instance.
  95.          */
  96.         Builder() {
  97.             // Do nothing
  98.         }

  100.         /**
  101.          * Add the statistic to the statistics to compute.
  102.          *
  103.          * @param statistic Statistic to compute.
  104.          * @return {@code this} instance
  105.          */
  106.         Builder add(Statistic statistic) {
  107.             switch (statistic) {
  108.             case GEOMETRIC_MEAN:
  109.             case SUM_OF_LOGS:
  110.                 sumOfLogs = SumOfLogs::of;
  111.                 break;
  112.             case KURTOSIS:
  113.                 createMoment(4);
  114.                 break;
  115.             case MAX:
  116.                 max = LongMax::of;
  117.                 break;
  118.             case MIN:
  119.                 min = LongMin::of;
  120.                 break;
  121.             case PRODUCT:
  122.                 product = Product::of;
  123.                 break;
  124.             case SKEWNESS:
  125.                 createMoment(3);
  126.                 break;
  127.             case STANDARD_DEVIATION:
  128.             case VARIANCE:
  129.                 sum = LongSum::of;
  130.                 sumOfSquares = LongSumOfSquares::of;
  131.                 break;
  132.             case MEAN:
  133.             case SUM:
  134.                 sum = LongSum::of;
  135.                 break;
  136.             case SUM_OF_SQUARES:
  137.                 sumOfSquares = LongSumOfSquares::of;
  138.                 break;
  139.             default:
  140.                 throw new IllegalArgumentException(UNSUPPORTED_STATISTIC + statistic);
  141.             }
  142.             return this;
  143.         }

  145.         /**
  146.          * Creates the moment constructor for the specified {@code order},
  147.          * e.g. order=3 is sum of cubed deviations.
  148.          *
  149.          * @param order Order.
  150.          */
  151.         private void createMoment(int order) {
  152.             if (order > momentOrder) {
  153.                 momentOrder = order;
  154.                 if (order == 4) {
  155.                     moment = SumOfFourthDeviations::of;
  156.                 } else {
  157.                     // Assume order == 3
  158.                     moment = SumOfCubedDeviations::of;
  159.                 }
  160.             }
  161.         }

  163.         /**
  164.          * Sets the statistics configuration options for computation of statistics.
  165.          *
  166.          * @param v Value.
  167.          * @return the builder
  168.          * @throws NullPointerException if the value is null
  169.          */
  170.         public Builder setConfiguration(StatisticsConfiguration v) {
  171.             config = Objects.requireNonNull(v);
  172.             return this;
  173.         }

  175.         /**
  176.          * Builds a {@code LongStatistics} instance.
  177.          *
  178.          * @return {@code LongStatistics} instance.
  179.          */
  180.         public LongStatistics build() {
  181.             return build(NO_VALUES);
  182.         }

  184.         /**
  185.          * Builds a {@code LongStatistics} instance using the input {@code values}.
  186.          *
  187.          * <p>Note: {@code LongStatistics} computed using
  188.          * {@link LongStatistics#accept(long) accept} may be
  189.          * different from this instance.
  190.          *
  191.          * @param values Values.
  192.          * @return {@code LongStatistics} instance.
  193.          */
  194.         public LongStatistics build(long... values) {
  195.             Objects.requireNonNull(values, "values");
  196.             return new LongStatistics(
  197.                 values.length,
  198.                 create(min, values),
  199.                 create(max, values),
  200.                 create(moment, values),
  201.                 create(sum, values),
  202.                 create(product, values),
  203.                 create(sumOfSquares, values),
  204.                 create(sumOfLogs, values),
  205.                 config);
  206.         }

  208.         /**
  209.          * Creates the object from the {@code values}.
  210.          *
  211.          * @param <T> object type
  212.          * @param constructor Constructor.
  213.          * @param values Values
  214.          * @return the instance
  215.          */
  216.         private static <T> T create(Function<long[], T> constructor, long[] values) {
  217.             if (constructor != null) {
  218.                 return constructor.apply(values);
  219.             }
  220.             return null;
  221.         }
  222.     }

  224.     /**
  225.      * Create an instance.
  226.      *
  227.      * @param count Count of values.
  228.      * @param min LongMin implementation.
  229.      * @param max LongMax implementation.
  230.      * @param moment Moment implementation.
  231.      * @param sum LongSum implementation.
  232.      * @param product Product implementation.
  233.      * @param sumOfSquares Sum of squares implementation.
  234.      * @param sumOfLogs Sum of logs implementation.
  235.      * @param config Statistics configuration.
  236.      */
  237.     LongStatistics(long count, LongMin min, LongMax max, FirstMoment moment, LongSum sum,
  238.                   Product product, LongSumOfSquares sumOfSquares, SumOfLogs sumOfLogs,
  239.                   StatisticsConfiguration config) {
  240.         this.count = count;
  241.         this.min = min;
  242.         this.max = max;
  243.         this.moment = moment;
  244.         this.sum = sum;
  245.         this.product = product;
  246.         this.sumOfSquares = sumOfSquares;
  247.         this.sumOfLogs = sumOfLogs;
  248.         this.config = config;
  249.         // The final consumer should never be null as the builder is created
  250.         // with at least one statistic.
  251.         consumer = Statistics.compose(min, max, sum, sumOfSquares,
  252.                                       composeAsLong(moment, product, sumOfLogs));
  253.     }

  255.     /**
  256.      * Chain the {@code consumers} into a single composite {@code LongConsumer}.
  257.      * Ignore any {@code null} consumer.
  258.      *
  259.      * @param consumers Consumers.
  260.      * @return a composed consumer (or null)
  261.      */
  262.     private static LongConsumer composeAsLong(DoubleConsumer... consumers) {
  263.         final DoubleConsumer c = Statistics.compose(consumers);
  264.         if (c != null) {
  265.             return c::accept;
  266.         }
  267.         return null;
  268.     }

  270.     /**
  271.      * Returns a new instance configured to compute the specified {@code statistics}.
  272.      *
  273.      * <p>The statistics will be empty and so will return the default values for each
  274.      * computed statistic.
  275.      *
  276.      * @param statistics Statistics to compute.
  277.      * @return the instance
  278.      * @throws IllegalArgumentException if there are no {@code statistics} to compute.
  279.      */
  280.     public static LongStatistics of(Statistic... statistics) {
  281.         return builder(statistics).build();
  282.     }

  284.     /**
  285.      * Returns a new instance configured to compute the specified {@code statistics}
  286.      * populated using the input {@code values}.
  287.      *
  288.      * <p>Use this method to create an instance populated with a (variable) array of
  289.      * {@code long[]} data:
  290.      *
  291.      * <pre>
  292.      * LongStatistics stats = LongStatistics.of(
  293.      *     EnumSet.of(Statistic.MIN, Statistic.MAX),
  294.      *     1, 1, 2, 3, 5, 8, 13);
  295.      * </pre>
  296.      *
  297.      * @param statistics Statistics to compute.
  298.      * @param values Values.
  299.      * @return the instance
  300.      * @throws IllegalArgumentException if there are no {@code statistics} to compute.
  301.      */
  302.     public static LongStatistics of(Set<Statistic> statistics, long... values) {
  303.         if (statistics.isEmpty()) {
  304.             throw new IllegalArgumentException(NO_CONFIGURED_STATISTICS);
  305.         }
  306.         final Builder b = new Builder();
  307.         statistics.forEach(b::add);
  308.         return b.build(values);
  309.     }

  311.     /**
  312.      * Returns a new builder configured to create instances to compute the specified
  313.      * {@code statistics}.
  314.      *
  315.      * <p>Use this method to create an instance populated with an array of {@code long[]}
  316.      * data using the {@link Builder#build(long...)} method:
  317.      *
  318.      * <pre>
  319.      * long[] data = ...
  320.      * LongStatistics stats = LongStatistics.builder(
  321.      *     Statistic.MIN, Statistic.MAX, Statistic.VARIANCE)
  322.      *     .build(data);
  323.      * </pre>
  324.      *
  325.      * <p>The builder can be used to create multiple instances of {@link LongStatistics}
  326.      * to be used in parallel, or on separate arrays of {@code long[]} data. These may
  327.      * be {@link #combine(LongStatistics) combined}. For example:
  328.      *
  329.      * <pre>
  330.      * long[][] data = ...
  331.      * LongStatistics.Builder builder = LongStatistics.builder(
  332.      *     Statistic.MIN, Statistic.MAX, Statistic.VARIANCE);
  333.      * LongStatistics stats = Arrays.stream(data)
  334.      *     .parallel()
  335.      *     .map(builder::build)
  336.      *     .reduce(LongStatistics::combine)
  337.      *     .get();
  338.      * </pre>
  339.      *
  340.      * <p>The builder can be used to create a {@link java.util.stream.Collector} for repeat
  341.      * use on multiple data:
  342.      *
  343.      * <pre>{@code
  344.      * LongStatistics.Builder builder = LongStatistics.builder(
  345.      *     Statistic.MIN, Statistic.MAX, Statistic.VARIANCE);
  346.      * Collector<long[], LongStatistics, LongStatistics> collector =
  347.      *     Collector.of(builder::build,
  348.      *                  (s, d) -> s.combine(builder.build(d)),
  349.      *                  LongStatistics::combine);
  350.      *
  351.      * // Repeated
  352.      * long[][] data = ...
  353.      * LongStatistics stats = Arrays.stream(data).collect(collector);
  354.      * }</pre>
  355.      *
  356.      * @param statistics Statistics to compute.
  357.      * @return the builder
  358.      * @throws IllegalArgumentException if there are no {@code statistics} to compute.
  359.      */
  360.     public static Builder builder(Statistic... statistics) {
  361.         if (statistics.length == 0) {
  362.             throw new IllegalArgumentException(NO_CONFIGURED_STATISTICS);
  363.         }
  364.         final Builder b = new Builder();
  365.         for (final Statistic s : statistics) {
  366.             b.add(s);
  367.         }
  368.         return b;
  369.     }

  371.     /**
  372.      * Updates the state of the statistics to reflect the addition of {@code value}.
  373.      *
  374.      * @param value Value.
  375.      */
  376.     @Override
  377.     public void accept(long value) {
  378.         count++;
  379.         consumer.accept(value);
  380.     }

  382.     /**
  383.      * Return the count of values recorded.
  384.      *
  385.      * @return the count of values
  386.      */
  387.     public long getCount() {
  388.         return count;
  389.     }

  391.     /**
  392.      * Check if the specified {@code statistic} is supported.
  393.      *
  394.      * <p>Note: This method will not return {@code false} if the argument is {@code null}.
  395.      *
  396.      * @param statistic Statistic.
  397.      * @return {@code true} if supported
  398.      * @throws NullPointerException if the {@code statistic} is {@code null}
  399.      * @see #getResult(Statistic)
  400.      */
  401.     public boolean isSupported(Statistic statistic) {
  402.         // Check for the appropriate underlying implementation
  403.         switch (statistic) {
  404.         case GEOMETRIC_MEAN:
  405.         case SUM_OF_LOGS:
  406.             return sumOfLogs != null;
  407.         case KURTOSIS:
  408.             return moment instanceof SumOfFourthDeviations;
  409.         case MAX:
  410.             return max != null;
  411.         case MIN:
  412.             return min != null;
  413.         case PRODUCT:
  414.             return product != null;
  415.         case SKEWNESS:
  416.             return moment instanceof SumOfCubedDeviations;
  417.         case STANDARD_DEVIATION:
  418.         case VARIANCE:
  419.             return sum != null && sumOfSquares != null;
  420.         case MEAN:
  421.         case SUM:
  422.             return sum != null;
  423.         case SUM_OF_SQUARES:
  424.             return sumOfSquares != null;
  425.         default:
  426.             return false;
  427.         }
  428.     }

  430.     /**
  431.      * Gets the value of the specified {@code statistic} as a {@code double}.
  432.      *
  433.      * @param statistic Statistic.
  434.      * @return the value
  435.      * @throws IllegalArgumentException if the {@code statistic} is not supported
  436.      * @see #isSupported(Statistic)
  437.      * @see #getResult(Statistic)
  438.      */
  439.     public double getAsDouble(Statistic statistic) {
  440.         return getResult(statistic).getAsDouble();
  441.     }

  443.     /**
  444.      * Gets the value of the specified {@code statistic} as a {@code long}.
  445.      *
  446.      * <p>Use this method to access the {@code long} result for exact integer statistics,
  447.      * for example {@link Statistic#MIN}.
  448.      *
  449.      * <p>Note: This method may throw an {@link ArithmeticException} if the result
  450.      * overflows an {@code long}.
  451.      *
  452.      * @param statistic Statistic.
  453.      * @return the value
  454.      * @throws IllegalArgumentException if the {@code statistic} is not supported
  455.      * @throws ArithmeticException if the {@code result} overflows an {@code long} or is not
  456.      * finite
  457.      * @see #isSupported(Statistic)
  458.      * @see #getResult(Statistic)
  459.      */
  460.     public long getAsLong(Statistic statistic) {
  461.         return getResult(statistic).getAsLong();
  462.     }

  464.     /**
  465.      * Gets the value of the specified {@code statistic} as a {@code BigInteger}.
  466.      *
  467.      * <p>Use this method to access the {@code BigInteger} result for exact integer statistics,
  468.      * for example {@link Statistic#SUM_OF_SQUARES}.
  469.      *
  470.      * <p>Note: This method may throw an {@link ArithmeticException} if the result
  471.      * is not finite.
  472.      *
  473.      * @param statistic Statistic.
  474.      * @return the value
  475.      * @throws IllegalArgumentException if the {@code statistic} is not supported
  476.      * @throws ArithmeticException if the {@code result} is not finite
  477.      * @see #isSupported(Statistic)
  478.      * @see #getResult(Statistic)
  479.      */
  480.     public BigInteger getAsBigInteger(Statistic statistic) {
  481.         return getResult(statistic).getAsBigInteger();
  482.     }

  484.     /**
  485.      * Gets a supplier for the value of the specified {@code statistic}.
  486.      *
  487.      * <p>The returned function will supply the correct result after
  488.      * calls to {@link #accept(long) accept} or
  489.      * {@link #combine(LongStatistics) combine} further values into
  490.      * {@code this} instance.
  491.      *
  492.      * <p>This method can be used to perform a one-time look-up of the statistic
  493.      * function to compute statistics as values are dynamically added.
  494.      *
  495.      * @param statistic Statistic.
  496.      * @return the supplier
  497.      * @throws IllegalArgumentException if the {@code statistic} is not supported
  498.      * @see #isSupported(Statistic)
  499.      * @see #getAsDouble(Statistic)
  500.      */
  501.     public StatisticResult getResult(Statistic statistic) {
  502.         // Locate the implementation.
  503.         // Statistics that wrap an underlying implementation are created in methods.
  504.         // The return argument should be an interface reference and not an instance
  505.         // of LongStatistic. This ensures the statistic implementation cannot
  506.         // be updated with new values by casting the result and calling accept(long).
  507.         StatisticResult stat = null;
  508.         switch (statistic) {
  509.         case GEOMETRIC_MEAN:
  510.             stat = getGeometricMean();
  511.             break;
  512.         case KURTOSIS:
  513.             stat = getKurtosis();
  514.             break;
  515.         case MAX:
  516.             stat = Statistics.getResultAsLongOrNull(max);
  517.             break;
  518.         case MEAN:
  519.             stat = getMean();
  520.             break;
  521.         case MIN:
  522.             stat = Statistics.getResultAsLongOrNull(min);
  523.             break;
  524.         case PRODUCT:
  525.             stat = Statistics.getResultAsDoubleOrNull(product);
  526.             break;
  527.         case SKEWNESS:
  528.             stat = getSkewness();
  529.             break;
  530.         case STANDARD_DEVIATION:
  531.             stat = getStandardDeviation();
  532.             break;
  533.         case SUM:
  534.             stat = Statistics.getResultAsBigIntegerOrNull(sum);
  535.             break;
  536.         case SUM_OF_LOGS:
  537.             stat = Statistics.getResultAsDoubleOrNull(sumOfLogs);
  538.             break;
  539.         case SUM_OF_SQUARES:
  540.             stat = Statistics.getResultAsBigIntegerOrNull(sumOfSquares);
  541.             break;
  542.         case VARIANCE:
  543.             stat = getVariance();
  544.             break;
  545.         default:
  546.             break;
  547.         }
  548.         if (stat != null) {
  549.             return stat;
  550.         }
  551.         throw new IllegalArgumentException(UNSUPPORTED_STATISTIC + statistic);
  552.     }

  554.     /**
  555.      * Gets the geometric mean.
  556.      *
  557.      * @return a geometric mean supplier (or null if unsupported)
  558.      */
  559.     private StatisticResult getGeometricMean() {
  560.         if (sumOfLogs != null) {
  561.             // Return a function that has access to the count and sumOfLogs
  562.             return () -> GeometricMean.computeGeometricMean(count, sumOfLogs);
  563.         }
  564.         return null;
  565.     }

  567.     /**
  568.      * Gets the kurtosis.
  569.      *
  570.      * @return a kurtosis supplier (or null if unsupported)
  571.      */
  572.     private StatisticResult getKurtosis() {
  573.         if (moment instanceof SumOfFourthDeviations) {
  574.             return new Kurtosis((SumOfFourthDeviations) moment)
  575.                 .setBiased(config.isBiased())::getAsDouble;
  576.         }
  577.         return null;
  578.     }

  580.     /**
  581.      * Gets the mean.
  582.      *
  583.      * @return a mean supplier (or null if unsupported)
  584.      */
  585.     private StatisticResult getMean() {
  586.         if (sum != null) {
  587.             // Return a function that has access to the count and sum
  588.             final Int128 s = sum.getSum();
  589.             return () -> LongMean.computeMean(s, count);
  590.         }
  591.         return null;
  592.     }

  594.     /**
  595.      * Gets the skewness.
  596.      *
  597.      * @return a skewness supplier (or null if unsupported)
  598.      */
  599.     private StatisticResult getSkewness() {
  600.         if (moment instanceof SumOfCubedDeviations) {
  601.             return new Skewness((SumOfCubedDeviations) moment)
  602.                 .setBiased(config.isBiased())::getAsDouble;
  603.         }
  604.         return null;
  605.     }

  607.     /**
  608.      * Gets the standard deviation.
  609.      *
  610.      * @return a standard deviation supplier (or null if unsupported)
  611.      */
  612.     private StatisticResult getStandardDeviation() {
  613.         return getVarianceOrStd(true);
  614.     }

  616.     /**
  617.      * Gets the variance.
  618.      *
  619.      * @return a variance supplier (or null if unsupported)
  620.      */
  621.     private StatisticResult getVariance() {
  622.         return getVarianceOrStd(false);
  623.     }

  625.     /**
  626.      * Gets the variance or standard deviation.
  627.      *
  628.      * @param std Flag to control if the statistic is the standard deviation.
  629.      * @return a variance/standard deviation supplier (or null if unsupported)
  630.      */
  631.     private StatisticResult getVarianceOrStd(boolean std) {
  632.         if (sum != null && sumOfSquares != null) {
  633.             // Return a function that has access to the count, sum and sum of squares
  634.             final Int128 s = sum.getSum();
  635.             final UInt192 ss = sumOfSquares.getSumOfSquares();
  636.             final boolean biased = config.isBiased();
  637.             return () -> LongVariance.computeVarianceOrStd(ss, s, count, biased, std);
  638.         }
  639.         return null;
  640.     }

  642.     /**
  643.      * Combines the state of the {@code other} statistics into this one.
  644.      * Only {@code this} instance is modified by the {@code combine} operation.
  645.      *
  646.      * <p>The {@code other} instance must be <em>compatible</em>. This is {@code true} if the
  647.      * {@code other} instance returns {@code true} for {@link #isSupported(Statistic)} for
  648.      * all values of the {@link Statistic} enum which are supported by {@code this}
  649.      * instance.
  650.      *
  651.      * <p>Note that this operation is <em>not symmetric</em>. It may be possible to perform
  652.      * {@code a.combine(b)} but not {@code b.combine(a)}. In the event that the {@code other}
  653.      * instance is not compatible then an exception is raised before any state is modified.
  654.      *
  655.      * @param other Another set of statistics to be combined.
  656.      * @return {@code this} instance after combining {@code other}.
  657.      * @throws IllegalArgumentException if the {@code other} is not compatible
  658.      */
  659.     public LongStatistics combine(LongStatistics other) {
  660.         // Check compatibility
  661.         Statistics.checkCombineCompatible(min, other.min);
  662.         Statistics.checkCombineCompatible(max, other.max);
  663.         Statistics.checkCombineCompatible(sum, other.sum);
  664.         Statistics.checkCombineCompatible(product, other.product);
  665.         Statistics.checkCombineCompatible(sumOfSquares, other.sumOfSquares);
  666.         Statistics.checkCombineCompatible(sumOfLogs, other.sumOfLogs);
  667.         Statistics.checkCombineAssignable(moment, other.moment);
  668.         // Combine
  669.         count += other.count;
  670.         Statistics.combine(min, other.min);
  671.         Statistics.combine(max, other.max);
  672.         Statistics.combine(sum, other.sum);
  673.         Statistics.combine(product, other.product);
  674.         Statistics.combine(sumOfSquares, other.sumOfSquares);
  675.         Statistics.combine(sumOfLogs, other.sumOfLogs);
  676.         Statistics.combineMoment(moment, other.moment);
  677.         return this;
  678.     }

  680.     /**
  681.      * Sets the statistics configuration.
  682.      *
  683.      * <p>These options only control the final computation of statistics. The configuration
  684.      * will not affect compatibility between instances during a
  685.      * {@link #combine(LongStatistics) combine} operation.
  686.      *
  687.      * <p>Note: These options will affect any future computation of statistics. Supplier functions
  688.      * that have been previously created will not be updated with the new configuration.
  689.      *
  690.      * @param v Value.
  691.      * @return {@code this} instance
  692.      * @throws NullPointerException if the value is null
  693.      * @see #getResult(Statistic)
  694.      */
  695.     public LongStatistics setConfiguration(StatisticsConfiguration v) {
  696.         config = Objects.requireNonNull(v);
  697.         return this;
  698.     }
  699. }
Created with JaCoCo 0.8.12.202403310830