**`kclient.Client`** is a higher level wrapper around a Kubernetes resource, and is built up of sub-parts `kclient.Reader`, `kclient.Writer`, and `kclient.Informer`.
Typically, the whole `kclient.Client` is used,though.

Functionality offered by `kclient` includes:
* Typed clients (via generics) and more ergonomic APIs
* Ability to make a _delayed_ client. This is used when making clients based on CRDs that may not exist.

     Software. However, You may do so only on Your own behalf, and not on behalf
     of any Contributor. You must make it absolutely clear that any such
     warranty, support, indemnity, or liability obligation is offered by You
     alone, and You hereby agree to indemnify every Contributor for any
     liability incurred by such Contributor as a result of warranty, support,
     indemnity or liability terms You offer. You may include additional

    @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 {

                                <div class="col-sm-12">
                                    <la:form action="/admin/suggest/">
                                        <table class="table table-bordered table-striped">
                                            <thead>
                                            <tr>

    public LruHashSet(final int limitSize) {
        map = new LruHashMap<>(limitSize);
    }

    /**
     * Returns an iterator over the elements in this set. The elements are
     * returned in no particular order.
     *
     * @return an Iterator over the elements in this set.
     * @see ConcurrentModificationException
     */
    @Override
    public Iterator<E> iterator() {
        return map.keySet().iterator();
    }

                    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);

                                    <div class="row">
                                        <div class="col-sm-12">
                                            <table class="table table-bordered table-striped">
                                                <thead>
                                                <tr>
                                                    <th><la:message key="labels.failure_url_url"/></th>

      },
      "queryId": {
        "type": "keyword"
      },
      "userSessionId": {
        "type": "keyword"
      },
      "url": {
        "type": "keyword"
      },
      "order": {
        "type": "integer"
      },
      "requestedAt": {
        "type": "date",
        "format": "date_optional_time"
      },
      "queryRequestedAt": {
        "type": "date",