// It contains a list of APIVersionDiscovery that holds a list of APIResourceDiscovery types served for a version.
// Versions are in descending order of preference, with the first version being the preferred entry.
message APIGroupDiscovery {
  // Standard object's metadata.
  // The only field completed will be name. For instance, resourceVersion will be empty.

   * not necessarily a {@link SortedMap}: A {@code SortedSetMultimap} must expose the <i>values</i>
   * for a given key in sorted order, but it need not expose the <i>keys</i> in sorted order.
   * Individual {@code SortedSetMultimap} implementations, like those built with {@link
   * MultimapBuilder#treeKeys()}, may make additional guarantees.
   */
  @Override

var caPublicKey ssh.PublicKey

// https://cs.opensource.google/go/x/crypto/+/refs/tags/v0.22.0:ssh/common.go;l=46
// preferredKexAlgos specifies the default preference for key-exchange
// algorithms in preference order. The diffie-hellman-group16-sha512 algorithm
// is disabled by default because it is a bit slower than the others.
var preferredKexAlgos = []string{
	kexAlgoCurve25519SHA256, kexAlgoCurve25519SHA256LibSSH,

    @Override
    public Entry<String, Integer>[] createArray(int length) {
      return (Entry<String, Integer>[]) new Entry<?, ?>[length];
    }

    @Override
    public Iterable<Entry<String, Integer>> order(List<Entry<String, Integer>> insertionOrder) {
      return new Ordering<Entry<String, Integer>>() {
        @Override
        public int compare(Entry<String, Integer> left, Entry<String, Integer> right) {

    }

    @Override
    public E[] createArray(int length) {
      return gen.createArray(length);
    }

    @Override
    public Iterable<E> order(List<E> insertionOrder) {
      return gen.order(insertionOrder);
    }
  }

  private static Set<Feature<?>> computeReserializedCollectionFeatures(Set<Feature<?>> features) {
    Set<Feature<?>> derivedFeatures = new HashSet<>(features);

import java.math.BigInteger;
import java.util.Random;

/**
 * Utilities for benchmarks.
 *
 * <p>In many cases, we wish to vary the order of magnitude of the input as much as we want to vary
 * the input itself, so most methods which generate values use an exponential distribution varying
 * the order of magnitude of the generated values uniformly at random.
 *
 * @author Louis Wasserman
 */
final class MathBenchmarking {

                clickLog.setUserSessionId(userSessionId);
                clickLog.setDocId(form.docId);
                clickLog.setQueryId(form.queryId);
                if (form.order != null) {
                    clickLog.setOrder(form.order);
                }
                searchLogHelper.addClickLog(clickLog);
            }
        }

        final String targetUrl = pathMappingHelper.replaceUrl(url);

    }
    return tmp;
  }

  @Benchmark
  long parseUnsignedLong(int reps) {
    long tmp = 0;
    // Given that we make three calls per pass, we scale reps down in order
    // to do a comparable amount of work to other measurements.
    int scaledReps = reps / 3 + 1;
    for (int i = 0; i < scaledReps; i++) {
      int j = i & ARRAY_MASK;

  @Override
  public String[] createArray(int length) {
    return new String[length];
  }

  /** Returns the original element list, unchanged. */
  @Override
  public List<String> order(List<String> insertionOrder) {
    return insertionOrder;
  }

                    op.calendarInterval(DateHistogramInterval.HOUR);
                    op.minDocCount(0);
                    op.order(BucketOrder.key(true));
                }, null);
            });
            final Histogram agg = list.getAggregations().get(SearchLogPager.LOG_TYPE_SEARCH_COUNT_HOUR);