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 * Copyright (c) 2012, 2013, 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.IntConsumer;
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 ints with:
 * <pre> {@code
 * IntSummaryStatistics stats = intStream.collect(IntSummaryStatistics::new,
 * IntSummaryStatistics::accept,
 * IntSummaryStatistics::combine);
 * }</pre>
 *
 * <p>{@code IntSummaryStatistics} 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
 * IntSummaryStatistics stats = people.stream()
 * .collect(Collectors.summarizingInt(Person::getDependents));
 *}</pre>
 *
 * This computes, in a single pass, the count of people, as well as the minimum,
 * maximum, sum, and average of their number of dependents.
 *
 * @implNote This implementation is not thread safe. However, it is safe to use
 * {@link java.util.stream.Collectors#summarizingInt(java.util.function.ToIntFunction)
 * Collectors.toIntStatistics()} 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
 */
public class IntSummaryStatistics implements IntConsumer {
 private long count;
 private long sum;
 private int min = Integer.MAX_VALUE;
 private int max = Integer.MIN_VALUE;

 /**
 * Construct an empty instance with zero count, zero sum,
 * {@code Integer.MAX_VALUE} min, {@code Integer.MIN_VALUE} max and zero
 * average.
 */
 public IntSummaryStatistics() { }

 /**
 * Records a new value into the summary information
 *
 * @param value the input value
 */
 @Override
 public void accept(int value) {
 ++count;
 sum += value;
 min = Math.min(min, value);
 max = Math.max(max, value);
 }

 /**
 * Combines the state of another {@code IntSummaryStatistics} into this one.
 *
 * @param other another {@code IntSummaryStatistics}
 * @throws NullPointerException if {@code other} is null
 */
 public void combine(IntSummaryStatistics other) {
 count += other.count;
 sum += other.sum;
 min = Math.min(min, other.min);
 max = Math.max(max, other.max);
 }

 /**
 * Returns 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.
 *
 * @return the sum of values, or zero if none
 */
 public final long getSum() {
 return sum;
 }

 /**
 * Returns the minimum value recorded, or {@code Integer.MAX_VALUE} if no
 * values have been recorded.
 *
 * @return the minimum value, or {@code Integer.MAX_VALUE} if none
 */
 public final int getMin() {
 return min;
 }

 /**
 * Returns the maximum value recorded, or {@code Integer.MIN_VALUE} if no
 * values have been recorded.
 *
 * @return the maximum value, or {@code Integer.MIN_VALUE} if none
 */
 public final int 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
 */
 public final double getAverage() {
 return getCount() > 0 ? (double) getSum() / getCount() : 0.0d;
 }

 @Override
 /**
 * {@inheritDoc}
 *
 * 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.
 */
 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());
 }
}