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LongSummaryStatistics.java
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/*
* Copyright (c) 2012, 2017, Oracle and/or its affiliates. All rights reserved.
* DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
*
* This code is free software; you can redistribute it and/or modify it
* under the terms of the GNU General Public License version 2 only, as
* published by the Free Software Foundation. Oracle designates this
* particular file as subject to the "Classpath" exception as provided
* by Oracle in the LICENSE file that accompanied this code.
*
* This code is distributed in the hope that it will be useful, but WITHOUT
* ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
* FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License
* version 2 for more details (a copy is included in the LICENSE file that
* accompanied this code).
*
* You should have received a copy of the GNU General Public License version
* 2 along with this work; if not, write to the Free Software Foundation,
* Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
*
* Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
* or visit www.oracle.com if you need additional information or have any
* questions.
*/
package java.util;
import java.util.function.IntConsumer;
import java.util.function.LongConsumer;
import java.util.stream.Collector;
/**
* 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 longs with:
* <pre> {@code
* LongSummaryStatistics stats = longStream.collect(LongSummaryStatistics::new,
* LongSummaryStatistics::accept,
* LongSummaryStatistics::combine);
* }</pre>
*
* <p>{@code LongSummaryStatistics} 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
* LongSummaryStatistics stats = people.stream()
* .collect(Collectors.summarizingLong(Person::getAge));
* }</pre>
*
* This computes, in a single pass, the count of people, as well as the minimum,
* maximum, sum, and average of their ages.
*
* @implNote This implementation is not thread safe. However, it is safe to use
* {@link java.util.stream.Collectors#summarizingLong(java.util.function.ToLongFunction)
* Collectors.summarizingLong()} 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.
*
* <p>This implementation does not check for overflow of the sum.
* @since 1.8
*/
// 对long类型的元素统计相关信息:计数、求和、均值、最小值、最大值
public class LongSummaryStatistics implements LongConsumer, IntConsumer {
private long min = Long.MAX_VALUE; // 最小值
private long max = Long.MIN_VALUE; // 最大值
private long count; // 计数
private long sum; // 求和
/**
* Constructs an empty instance with zero count, zero sum,
* {@code Long.MAX_VALUE} min, {@code Long.MIN_VALUE} max and zero
* average.
*/
public LongSummaryStatistics() {
}
/**
* 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}</li>
* </ul>
*
* @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
* @apiNote The enforcement of argument correctness means that the retrieved set of
* recorded values obtained from a {@code LongSummaryStatistics} 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.
* @since 10
*/
public LongSummaryStatistics(long count, long min, long max, long 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");
this.count = count;
this.sum = sum;
this.min = min;
this.max = max;
}
// Use default field values if count == 0
}
/**
* Returns the count of values recorded.
*
* @return the count of values
*/
// 计数
public final long getCount() {
return count;
}
/**
* Returns the sum of values recorded, or zero if no values have been
* recorded.
*
* @return the sum of values, or zero if none
*/
// 求和
public final long getSum() {
return sum;
}
/**
* Returns the minimum value recorded, or {@code Long.MAX_VALUE} if no
* values have been recorded.
*
* @return the minimum value, or {@code Long.MAX_VALUE} if none
*/
// 最小值
public final long getMin() {
return min;
}
/**
* Returns the maximum value recorded, or {@code Long.MIN_VALUE} if no
* values have been recorded
*
* @return the maximum value, or {@code Long.MIN_VALUE} if none
*/
// 最大值
public final long getMax() {
return max;
}
/**
* Returns the arithmetic mean of values recorded, or zero if no values have been
* recorded.
*
* @return The arithmetic mean of values, or zero if none
*/
// 最后计算平均值
public final double getAverage() {
return getCount()>0 ? (double) getSum() / getCount() : 0.0d;
}
/**
* Records a new {@code int} value into the summary information.
*
* @param value the input value
*/
// 每遇到一个新的value,需要更新计数、计数、最小值、最大值的数据
@Override
public void accept(int value) {
accept((long) value);
}
/**
* Records a new {@code long} value into the summary information.
*
* @param value the input value
*/
// 每遇到一个新的value,需要更新计数、计数、最小值、最大值的数据
@Override
public void accept(long value) {
++count;
sum += value;
min = Math.min(min, value);
max = Math.max(max, value);
}
/**
* Combines the state of another {@code LongSummaryStatistics} into this
* one.
*
* @param other another {@code LongSummaryStatistics}
*
* @throws NullPointerException if {@code other} is null
*/
// 合并两个数据源的统计信息(计数与求和相加,最小值取最小的,最大值取最大的)
public void combine(LongSummaryStatistics other) {
count += other.count;
sum += other.sum;
min = Math.min(min, other.min);
max = Math.max(max, other.max);
}
/**
* 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=%d, min=%d, average=%f, max=%d}", this.getClass().getSimpleName(), getCount(), getSum(), getMin(), getAverage(), getMax());
}
}