JDK 11 java.base.jmod - Base Module
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⏎ java/util/DoubleSummaryStatistics.java
/*
* Copyright (c) 2012, 2017, Oracle and/or its affiliates. All rights reserved.
* ORACLE PROPRIETARY/CONFIDENTIAL. Use is subject to license terms.
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package java.util;
import java.util.function.DoubleConsumer;
import java.util.stream.Collector;
import java.util.stream.DoubleStream;
/**
* A state object for collecting statistics such as count, min, max, sum, and
* average.
*
* <p>This class is designed to work with (though does not require)
* {@linkplain java.util.stream streams}. For example, you can compute
* summary statistics on a stream of doubles with:
* <pre> {@code
* DoubleSummaryStatistics stats = doubleStream.collect(DoubleSummaryStatistics::new,
* DoubleSummaryStatistics::accept,
* DoubleSummaryStatistics::combine);
* }</pre>
*
* <p>{@code DoubleSummaryStatistics} can be used as a
* {@linkplain java.util.stream.Stream#collect(Collector) reduction}
* target for a {@linkplain java.util.stream.Stream stream}. For example:
*
* <pre> {@code
* DoubleSummaryStatistics stats = people.stream()
* .collect(Collectors.summarizingDouble(Person::getWeight));
*}</pre>
*
* This computes, in a single pass, the count of people, as well as the minimum,
* maximum, sum, and average of their weights.
*
* @implNote This implementation is not thread safe. However, it is safe to use
* {@link java.util.stream.Collectors#summarizingDouble(java.util.function.ToDoubleFunction)
* Collectors.summarizingDouble()} on a parallel stream, because the parallel
* implementation of {@link java.util.stream.Stream#collect Stream.collect()}
* provides the necessary partitioning, isolation, and merging of results for
* safe and efficient parallel execution.
* @since 1.8
*/
public class DoubleSummaryStatistics implements DoubleConsumer {
private long count;
private double sum;
private double sumCompensation; // Low order bits of sum
private double simpleSum; // Used to compute right sum for non-finite inputs
private double min = Double.POSITIVE_INFINITY;
private double max = Double.NEGATIVE_INFINITY;
/**
* Constructs an empty instance with zero count, zero sum,
* {@code Double.POSITIVE_INFINITY} min, {@code Double.NEGATIVE_INFINITY}
* max and zero average.
*/
public DoubleSummaryStatistics() { }
/**
* Constructs a non-empty instance with the specified {@code count},
* {@code min}, {@code max}, and {@code sum}.
*
* <p>If {@code count} is zero then the remaining arguments are ignored and
* an empty instance is constructed.
*
* <p>If the arguments are inconsistent then an {@code IllegalArgumentException}
* is thrown. The necessary consistent argument conditions are:
* <ul>
* <li>{@code count >= 0}</li>
* <li>{@code (min <= max && !isNaN(sum)) || (isNaN(min) && isNaN(max) && isNaN(sum))}</li>
* </ul>
* @apiNote
* The enforcement of argument correctness means that the retrieved set of
* recorded values obtained from a {@code DoubleSummaryStatistics} source
* instance may not be a legal set of arguments for this constructor due to
* arithmetic overflow of the source's recorded count of values.
* The consistent argument conditions are not sufficient to prevent the
* creation of an internally inconsistent instance. An example of such a
* state would be an instance with: {@code count} = 2, {@code min} = 1,
* {@code max} = 2, and {@code sum} = 0.
*
* @param count the count of values
* @param min the minimum value
* @param max the maximum value
* @param sum the sum of all values
* @throws IllegalArgumentException if the arguments are inconsistent
* @since 10
*/
public DoubleSummaryStatistics(long count, double min, double max, double sum)
throws IllegalArgumentException {
if (count < 0L) {
throw new IllegalArgumentException("Negative count value");
} else if (count > 0L) {
if (min > max)
throw new IllegalArgumentException("Minimum greater than maximum");
// All NaN or non NaN
var ncount = DoubleStream.of(min, max, sum).filter(Double::isNaN).count();
if (ncount > 0 && ncount < 3)
throw new IllegalArgumentException("Some, not all, of the minimum, maximum, or sum is NaN");
this.count = count;
this.sum = sum;
this.simpleSum = sum;
this.sumCompensation = 0.0d;
this.min = min;
this.max = max;
}
// Use default field values if count == 0
}
/**
* Records another value into the summary information.
*
* @param value the input value
*/
@Override
public void accept(double value) {
++count;
simpleSum += value;
sumWithCompensation(value);
min = Math.min(min, value);
max = Math.max(max, value);
}
/**
* Combines the state of another {@code DoubleSummaryStatistics} into this
* one.
*
* @param other another {@code DoubleSummaryStatistics}
* @throws NullPointerException if {@code other} is null
*/
public void combine(DoubleSummaryStatistics other) {
count += other.count;
simpleSum += other.simpleSum;
sumWithCompensation(other.sum);
sumWithCompensation(other.sumCompensation);
min = Math.min(min, other.min);
max = Math.max(max, other.max);
}
/**
* Incorporate a new double value using Kahan summation /
* compensated summation.
*/
private void sumWithCompensation(double value) {
double tmp = value - sumCompensation;
double velvel = sum + tmp; // Little wolf of rounding error
sumCompensation = (velvel - sum) - tmp;
sum = velvel;
}
/**
* Return the count of values recorded.
*
* @return the count of values
*/
public final long getCount() {
return count;
}
/**
* Returns the sum of values recorded, or zero if no values have been
* recorded.
*
* <p> The value of a floating-point sum is a function both of the
* input values as well as the order of addition operations. The
* order of addition operations of this method is intentionally
* not defined to allow for implementation flexibility to improve
* the speed and accuracy of the computed result.
*
* In particular, this method may be implemented using compensated
* summation or other technique to reduce the error bound in the
* numerical sum compared to a simple summation of {@code double}
* values.
*
* Because of the unspecified order of operations and the
* possibility of using differing summation schemes, the output of
* this method may vary on the same input values.
*
* <p>Various conditions can result in a non-finite sum being
* computed. This can occur even if the all the recorded values
* being summed are finite. If any recorded value is non-finite,
* the sum will be non-finite:
*
* <ul>
*
* <li>If any recorded value is a NaN, then the final sum will be
* NaN.
*
* <li>If the recorded values contain one or more infinities, the
* sum will be infinite or NaN.
*
* <ul>
*
* <li>If the recorded values contain infinities of opposite sign,
* the sum will be NaN.
*
* <li>If the recorded values contain infinities of one sign and
* an intermediate sum overflows to an infinity of the opposite
* sign, the sum may be NaN.
*
* </ul>
*
* </ul>
*
* It is possible for intermediate sums of finite values to
* overflow into opposite-signed infinities; if that occurs, the
* final sum will be NaN even if the recorded values are all
* finite.
*
* If all the recorded values are zero, the sign of zero is
* <em>not</em> guaranteed to be preserved in the final sum.
*
* @apiNote Values sorted by increasing absolute magnitude tend to yield
* more accurate results.
*
* @return the sum of values, or zero if none
*/
public final double getSum() {
// Better error bounds to add both terms as the final sum
double tmp = sum + sumCompensation;
if (Double.isNaN(tmp) && Double.isInfinite(simpleSum))
// If the compensated sum is spuriously NaN from
// accumulating one or more same-signed infinite values,
// return the correctly-signed infinity stored in
// simpleSum.
return simpleSum;
else
return tmp;
}
/**
* Returns the minimum recorded value, {@code Double.NaN} if any recorded
* value was NaN or {@code Double.POSITIVE_INFINITY} if no values were
* recorded. Unlike the numerical comparison operators, this method
* considers negative zero to be strictly smaller than positive zero.
*
* @return the minimum recorded value, {@code Double.NaN} if any recorded
* value was NaN or {@code Double.POSITIVE_INFINITY} if no values were
* recorded
*/
public final double getMin() {
return min;
}
/**
* Returns the maximum recorded value, {@code Double.NaN} if any recorded
* value was NaN or {@code Double.NEGATIVE_INFINITY} if no values were
* recorded. Unlike the numerical comparison operators, this method
* considers negative zero to be strictly smaller than positive zero.
*
* @return the maximum recorded value, {@code Double.NaN} if any recorded
* value was NaN or {@code Double.NEGATIVE_INFINITY} if no values were
* recorded
*/
public final double getMax() {
return max;
}
/**
* Returns the arithmetic mean of values recorded, or zero if no
* values have been recorded.
*
* <p> The computed average can vary numerically and have the
* special case behavior as computing the sum; see {@link #getSum}
* for details.
*
* @apiNote Values sorted by increasing absolute magnitude tend to yield
* more accurate results.
*
* @return the arithmetic mean of values, or zero if none
*/
public final double getAverage() {
return getCount() > 0 ? getSum() / getCount() : 0.0d;
}
/**
* Returns a non-empty string representation of this object suitable for
* debugging. The exact presentation format is unspecified and may vary
* between implementations and versions.
*/
@Override
public String toString() {
return String.format(
"%s{count=%d, sum=%f, min=%f, average=%f, max=%f}",
this.getClass().getSimpleName(),
getCount(),
getSum(),
getMin(),
getAverage(),
getMax());
}
}
⏎ java/util/DoubleSummaryStatistics.java
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File name: java.base-11.0.1-src.zip File size: 8740354 bytes Release date: 2018-11-04 Download
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