func diskHealthCheckOK(ctx context.Context, err error) bool {
	// Check if context has a disk health check.
	tracker, ok := ctx.Value(healthDiskCtxKey{}).(*healthDiskCtxValue)
	if !ok {
		// No tracker, return
		return err == nil || errors.Is(err, io.EOF)
	}
	if err == nil || errors.Is(err, io.EOF) {
		tracker.logSuccess()
		return true
	}
	return false
}

-   Our users' guide, [Guava Explained]
-   [A nice collection](https://www.tfnico.com/presentations/google-guava) of
    other helpful links

## Links

-   [GitHub project](https://github.com/google/guava)
-   [Issue tracker: Report a defect or feature request](https://github.com/google/guava/issues/new)
-   [StackOverflow: Ask "how-to" and "why-didn't-it-work" questions](https://stackoverflow.com/questions/ask?tags=guava+java)

      int expectedSize) {
    return new HashSet<>(Maps.capacity(expectedSize));
  }

  /**
   * Creates a thread-safe set backed by a hash map. The set is backed by a {@link
   * ConcurrentHashMap} instance, and thus carries the same concurrency guarantees.
   *
   * <p>Unlike {@code HashSet}, this class does NOT allow {@code null} to be used as an element. The

    @CanIgnoreReturnValue
    @Override
    public Builder<E> addAll(Iterator<? extends E> elements) {
      super.addAll(elements);
      return this;
    }

    /**
     * If the specified collection is backed by an ObjectCountHashMap, it will be much more
     * efficient to iterate over it by index rather than an entry iterator, which will need to
     * allocate an object for each entry, so we check for that.
     */

    return CollectCollectors.<T, K, V, M>flatteningToMultimap(
        keyFunction, valueFunction, multimapSupplier);
  }

  /**
   * Creates a new {@code Multimap} backed by {@code map}, whose internal value collections are
   * generated by {@code factory}.
   *
   * <p><b>Warning: do not use</b> this method when the collections returned by {@code factory}

    and a [python tracer](https://www.tensorflow.org/guide/profiler#events)
    which allows you to trace python function calls in your model. Usability
    improvements include better diagnostic messages and
    [profile options](https://tensorflow.org/guide/profiler#collect_performance_data)
    to customize the host and device trace verbosity level.

func (client *storageRESTClient) Endpoint() Endpoint {
	return client.endpoint
}

func (client *storageRESTClient) Healing() *healingTracker {
	// This call is not implemented for remote client on purpose.
	// healing tracker is always for local disks.
	return nil
}

      }
      // The cast is safe because of the hasPeeked check.
      return uncheckedCastNullableTToT(peekedElement);
    }
  }

  /**
   * Returns a {@code PeekingIterator} backed by the given iterator.
   *
   * <p>Calls to the {@code peek} method with no intervening calls to {@code next} do not affect the
   * iteration, and hence return the same object each time. A subsequent call to {@code next} is

// via the nodeIP
// - kubelet (node-local healthchecks, which we do not capture)
// - kube-proxy (fowarded/proxied traffic from LoadBalancer-backed services, potentially with public IPs, which we must capture)
func (cfg *IptablesConfigurator) CreateHostRulesForHealthChecks(hostSNATIP, hostSNATIPV6 *netip.Addr) error {
	// Append our rules here

        return entry.getValue();
      }
    };
  }

  /**
   * Returns an immutable map instance containing the given entries. Internally, the returned map
   * will be backed by an {@link EnumMap}.
   *
   * <p>The iteration order of the returned map follows the enum's iteration order, not the order in
   * which the elements appear in the given map.
   *