h.add(sz)
			}
			got := h.toMap()
			exp := test.want
			// what is in exp is in got
			for k := range exp {
				if exp[k] != got[k] {
					t.Fatalf("interval %s: Expected %d values but got %d values\n", k, exp[k], got[k])
				}
			}
			// what is absent in exp is absent in got too
			for k := range got {
				if _, ok := exp[k]; !ok && got[k] > 0 {

    }
  }

  @Override
  ImmutableCollection<V> createValues() {
    return new Values<>(this);
  }

  private static final class Values<K, V> extends ImmutableList<V> {
    final RegularImmutableMap<K, V> map;

    Values(RegularImmutableMap<K, V> map) {
      this.map = map;
    }

    @Override
    public V get(int index) {

		<pre>Fe?s</pre>
	</dd>
	<dt>Range</dt>
	<dd>
		Range Queries allow one to match documents whose field(s) values are
		between the lower and upper bound specified by the Range Query. Range
		Queries can be inclusive or exclusive of the upper and lower bounds.
		If you want to find documents whose content_length fields have values
		between 1000 and 10000, inclusive, you can enter:
		<pre>content_length:[1000 TO 10000]</pre>

		cpuStealVal := math.Round(ts.Steal/tot*100*100) / 100
		m.Set(sysCPUSteal, cpuStealVal)
	}

	// metrics-resource.go runs a job to collect resource metrics including their Avg values and
	// stores them in resourceMetricsMap. We can use it to get the Avg values of CPU idle and IOWait.
	cpuResourceMetrics, found := resourceMetricsMap[cpuSubsystem]
	if found {
		if cpuIdleMetric, ok := cpuResourceMetrics[getResourceKey(cpuIdle, nil)]; ok {

import java.io.Serializable;
import java.util.Map.Entry;
import java.util.Spliterator;
import java.util.function.Consumer;
import org.jspecify.annotations.Nullable;

/**
 * {@code values()} implementation for {@link ImmutableMap}.
 *
 * @author Jesse Wilson
 * @author Kevin Bourrillion
 */
@GwtCompatible
final class ImmutableMapValues<K, V> extends ImmutableCollection<V> {

            public long deleteByQuery(final String index, final QueryBuilder queryBuilder) {
                if (queryBuilder instanceof final TermsQueryBuilder termsQueryBuilder) {
                    termsQueryBuilder.values().stream().forEach(o -> deletedDocIdList.add(o.toString()));
                }
                return deletedDocIdList.size();
            }
        };
        ComponentUtil.register(client, "searchEngineClient");

          array[i] = counter.getAndIncrement();
        }
        builder.addAll(array);
      }
    },
    ;

    static final BuilderOp[] values = values();

    static BuilderOp randomOp() {
      return values[random.nextInt(values.length)];
    }

    abstract void doIt(ImmutableDoubleArray.Builder builder, AtomicInteger counter);
  }

  private static final Random random = new Random(42);

    SerializableTester.reserializeAndAssert(map.entrySet());
    SerializableTester.reserializeAndAssert(map.keySet());
    assertEquals(
        new ArrayList<>(map.values()),
        new ArrayList<>(SerializableTester.reserialize(map.values())));
  }

  @GwtIncompatible // SerializableTester
  public void testEmpty_serialization() {
    SortedSet<String> set = new SafeTreeSet<>();

in an unspecified order.
This means that races on multiword data structures
can lead to inconsistent values not corresponding to a single write.
When the values depend on the consistency
of internal (pointer, length) or (pointer, type) pairs,
as can be the case for interface values, maps,
slices, and strings in most Go implementations,
such races can in turn lead to arbitrary memory corruption.
</p>

<p>

import java.util.List;
import java.util.Map;
import java.util.Map.Entry;
import org.jspecify.annotations.NullMarked;

/**
 * Generators of different types of map and related collections, such as keys, entries and values.
 *
 * @author Hayward Chan
 */
@GwtCompatible
@NullMarked
public class MapGenerators {
  public static class ImmutableMapGenerator extends TestStringMapGenerator {
    @Override