}
        sum -= segments[i].modCount;
      }
      return sum == 0L;
    }
    return true;
  }

  @Override
  public int size() {
    Segment<K, V, E, S>[] segments = this.segments;
    long sum = 0;
    for (int i = 0; i < segments.length; ++i) {
      sum += segments[i].count;
    }
    return Ints.saturatedCast(sum);
  }

  @Override

      expectAddFailure(multiset, entry);
    }
  }

  private static int totalSize(Iterable<? extends Entry<?>> entries) {
    int sum = 0;
    for (Entry<?> entry : entries) {
      sum += entry.getCount();
    }
    return sum;
  }

  private enum SubMultisetSpec {
    TAIL_CLOSED {
      @Override
      <E> List<Entry<E>> expectedEntries(int targetEntry, List<Entry<E>> entries) {

     * undefined which (if any) of these modifications will be reflected in the result.
     */
    @Override
    public int size() {
      long sum = 0L;
      for (Integer value : countMap.values()) {
        sum += value;
      }
      return Ints.saturatedCast(sum);
    }

    /*
     * Note: the superclass toArray() methods assume that size() gives a correct
     * answer, which ours does not.
     */

	"fmt"
)

// Aggregation Function name constants
const (
	aggFnAvg   FuncName = "AVG"
	aggFnCount FuncName = "COUNT"
	aggFnMax   FuncName = "MAX"
	aggFnMin   FuncName = "MIN"
	aggFnSum   FuncName = "SUM"
)

var (
	errNonNumericArg = func(fnStr FuncName) error {
		return fmt.Errorf("%s() requires a numeric argument", fnStr)
	}
	errInvalidAggregation = errors.New("Invalid aggregation seen")
)

		return key, ErrInvalidCustomerKey
	}
	keyMD5, err := base64.StdEncoding.DecodeString(h.Get(xhttp.AmzServerSideEncryptionCopyCustomerKeyMD5))
	if md5Sum := md5.Sum(clientKey); err != nil || !bytes.Equal(md5Sum[:], keyMD5) {
		return key, ErrCustomerKeyMD5Mismatch
	}
	copy(key[:], clientKey)
	return key, nil

    @Override
    public void increment() {
      getAndIncrement();
    }

    @Override
    public void add(long x) {
      getAndAdd(x);
    }

    @Override
    public long sum() {
      return get();
    }
  }

  private LongAddables() {}

    cache.put(20, 22);
    cache.put(5, 10);

    fakeTicker.advance(501, MILLISECONDS);

    int sum = 0;
    for (Entry<Integer, Integer> current : cache.asMap().entrySet()) {
      sum += current.getKey() + current.getValue();
    }
    assertThat(sum).isEqualTo(57);
  }

  @Test
  @J2ktIncompatible
  public void asMapValues_iteratorRemove() {
    Cache<Integer, Integer> cache =

    cache.put(20, 22);
    cache.put(5, 10);

    fakeTicker.advance(501, MILLISECONDS);

    int sum = 0;
    for (Entry<Integer, Integer> current : cache.asMap().entrySet()) {
      sum += current.getKey() + current.getValue();
    }
    assertThat(sum).isEqualTo(57);
  }

  @Test
  @J2ktIncompatible
  public void asMapValues_iteratorRemove() {
    Cache<Integer, Integer> cache =

        }
        sum -= segments[i].modCount;
      }
      return sum == 0L;
    }
    return true;
  }

  @Override
  public int size() {
    Segment<K, V, E, S>[] segments = this.segments;
    long sum = 0;
    for (int i = 0; i < segments.length; ++i) {
      sum += segments[i].count;
    }
    return Ints.saturatedCast(sum);
  }

  @Override

import java.util.stream.DoubleStream;
import java.util.stream.IntStream;
import java.util.stream.LongStream;
import org.jspecify.annotations.Nullable;

/**
 * A bundle of statistical summary values -- sum, count, mean/average, min and max, and several
 * forms of variance -- that were computed from a single set of zero or more floating-point values.
 *
 * <p>There are two ways to obtain a {@code Stats} instance:
 *
 * <ul>