private final OutputStream collector;

        public CacheStream(final OutputStream stream, final OutputStream collector) {
            this.stream = stream;
            this.collector = collector;
        }

        @Override
        public void close() throws IOException {
            this.stream.close();
            this.collector.close();
        }

        @Override

import org.apache.maven.project.ProjectBuildingResult;
import org.apache.maven.project.collector.DefaultProjectsSelector;
import org.apache.maven.project.collector.MultiModuleCollectionStrategy;
import org.apache.maven.project.collector.PomlessCollectionStrategy;
import org.apache.maven.project.collector.ProjectsSelector;
import org.apache.maven.project.collector.RequestPomCollectionStrategy;
import org.junit.jupiter.api.BeforeEach;

    checkNonnegative(k, "k");
    checkNotNull(comparator);
    return Collector.of(
        () -> TopKSelector.<T>least(k, comparator),
        TopKSelector::offer,
        TopKSelector::combine,
        TopKSelector::topK,
        Collector.Characteristics.UNORDERED);
  }

  /**
   * Returns a {@code Collector} that returns the {@code k} greatest (relative to the specified

        private final OutputStream collector;

        public CacheStream(final OutputStream stream, final OutputStream collector) {
            this.stream = stream;
            this.collector = collector;
        }

        @Override
        public void close() throws IOException {
            stream.close();
            collector.close();
        }

        @Override

// to collect the metrics.
//
// It implements the prometheus.Collector interface for metric groups without a
// bucket dimension. For metric groups with a bucket dimension, use the
// `GetBucketCollector` method to get a `BucketCollector` that implements the
// prometheus.Collector interface.
type MetricsGroup struct {
	// Path (relative to the Metrics v3 base endpoint) at which this group of

   *
   * <p><b>Note:</b> the values of the metrics are undefined in case of overflow (though it is
   * guaranteed not to throw an exception). If you require specific handling, we recommend
   * implementing your own stats collector.
   */
  public long requestCount() {
    return saturatedAdd(hitCount, missCount);
  }

  /** Returns the number of times {@link Cache} lookup methods have returned a cached value. */

   *
   * <p><b>Note:</b> the values of the metrics are undefined in case of overflow (though it is
   * guaranteed not to throw an exception). If you require specific handling, we recommend
   * implementing your own stats collector.
   */
  public long requestCount() {
    return saturatedAdd(hitCount, missCount);
  }

  /** Returns the number of times {@link Cache} lookup methods have returned a cached value. */

        new LineProcessor<List<String>>() {
          final List<String> collector = new ArrayList<>();

          @Override
          public boolean processLine(String line) {
            collector.add(whitespace().trimFrom(line));
            return true;
          }

          @Override
          public List<String> getResult() {
            return collector;
          }
        };

        NullPointerException.class,
        () -> ImmutableListMultimap.copyOf((ArrayListMultimap<String, Integer>) input));
  }

  public void testToImmutableListMultimap() {
    Collector<Entry<String, Integer>, ?, ImmutableListMultimap<String, Integer>> collector =
        toImmutableListMultimap(Entry::getKey, Entry::getValue);
    BiPredicate<ImmutableListMultimap<?, ?>, ImmutableListMultimap<?, ?>> equivalence =
        Equivalence.equals()

    implements Serializable {

  /**
   * Returns a {@code Collector} that accumulates elements into an {@code ImmutableTable}. Each
   * input element is mapped to one cell in the returned table, with the rows, columns, and values
   * generated by applying the specified functions.
   *
   * <p>The returned {@code Collector} will throw a {@code NullPointerException} at collection time