* of reads may not be immediately reflected on the algorithm's data structures. These structures
   * are guarded by a lock and operations are applied in batches to avoid lock contention. The
   * penalty of applying the batches is spread across threads so that the amortized cost is slightly
   * higher than performing just the operation without enforcing the capacity constraint.
   *

      // If 'supertype' is "List<? extends CharSequence>"
      // and 'this' is StringArrayList,
      // First step is to figure out StringArrayList "is-a" List<E> where <E> = String.
      // String is then matched against <? extends CharSequence>, the supertypeArgs[0].
      if (!of(subtypeParam).is(supertypeArgs[i], typeVars[i])) {
        return false;
      }
    }

   * of reads may not be immediately reflected on the algorithm's data structures. These structures
   * are guarded by a lock and operations are applied in batches to avoid lock contention. The
   * penalty of applying the batches is spread across threads so that the amortized cost is slightly
   * higher than performing just the operation without enforcing the capacity constraint.
   *

      // If 'supertype' is "List<? extends CharSequence>"
      // and 'this' is StringArrayList,
      // First step is to figure out StringArrayList "is-a" List<E> where <E> = String.
      // String is then matched against <? extends CharSequence>, the supertypeArgs[0].
      if (!of(subtypeParam).is(supertypeArgs[i], typeVars[i])) {
        return false;
      }
    }

	} else {
		logger.V(5).Info("reserve", "pod", klog.KObj(pod), "node", klog.ObjectRef{Name: nodeName}, "resourceclaim", klog.KObj(claim))
	}
	claim, err := pl.clientset.ResourceV1alpha2().ResourceClaims(claim.Namespace).Patch(ctx, claim.Name, types.StrategicMergePatchType, []byte(patch), metav1.PatchOptions{}, "status")

	// filter chain match, into a single filter chain and array of destinationcidr matches

	// The code below checks for TCP over TCP conflicts and merges listeners

	// Merge the newly built listener with the existing listener, if and only if the filter chains have distinct conditions.
	// Extract the current filter chain matches, for every new filter chain match being added, check if there is a matching

// symbolic predicate to all the merge nodes whose preceding enter nodes have
// the same frame name on the first iteration.  On the second iteration, if all
// the merge nodes are pattern matched into the same AndRecurrence predicate
// instance, the optimistic assignment of the same symbolic predicate is correct
// and the analyzed result is taken.
//

   * hasNext()} method will return {@code false}.
   *
   * <p><b>Warning:</b> avoid using a {@code predicate} that matches {@code null}. If {@code null}
   * is matched in {@code iterator}, a NullPointerException will be thrown.
   *
   * @since 11.0
   */
  public static <T> Optional<T> tryFind(Iterator<T> iterator, Predicate<? super T> predicate) {

   * hasNext()} method will return {@code false}.
   *
   * <p><b>Warning:</b> avoid using a {@code predicate} that matches {@code null}. If {@code null}
   * is matched in {@code iterator}, a NullPointerException will be thrown.
   *
   * @since 11.0
   */
  public static <T> Optional<T> tryFind(Iterator<T> iterator, Predicate<? super T> predicate) {

  // tfl.quantize and tfl.dequantize to preserve the quantization parameters.
  // This is done after the first round of optimization to make sure all the
  // min/max operands of the tf.FakeQuant* are constants to be matched. The
  // following round of optimization will folding the unwrapped
  // tf.FakeQuant* ops with the weight constants.
  if (failed(ConvertFakeQuantOps(func, ctx, use_fake_quant_num_bits_))) {
    signalPassFailure();