configStore model.ConfigStore,
) *model.Environment {
	e := &model.Environment{
		ServiceDiscovery: serviceDiscovery,
		ConfigStore:      configStore,
		Watcher:          mesh.NewFixedWatcher(meshConfig),
	}

	pushContext := model.NewPushContext()
	e.Init()
	_ = pushContext.InitContext(e, nil, nil)
	e.SetPushContext(pushContext)
	return e
}

   * 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.
   *

	shouldBind := false
	if volume.Name != claim.Spec.VolumeName {
		shouldBind = true
	}

	// The claim from method args can be pointing to watcher cache. We must not
	// modify these, therefore create a copy.
	claimClone := claim.DeepCopy()

	if shouldBind {
		dirty = true
		// Bind the claim to the volume
		claimClone.Spec.VolumeName = volume.Name

   * 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.
   *

			state.informationsForClaim[index].structuredParameters:
			if selector := state.informationsForClaim[index].availableOnNode; selector != nil {
				if matches := selector.Match(node); !matches {
					return statusUnschedulable(logger, "excluded by resource class node filter", "pod", klog.KObj(pod), "node", klog.KObj(node), "resourceclassName", claim.Spec.ResourceClassName)
				}
			}

          /*width=*/32);
  const bool is_f32_result =
      mlir::isa<Float32Type>(convert_op.getResult().getType().getElementType());
  return is_i32_operand && is_f32_result;
}

// Matches the zero points operand for the uniform_quantize and
// uniform_dequantize functions. Returns `failure()` if it doesn't match.
LogicalResult MatchZeroPointsOperand(Value zero_points) {
  if (!zero_points) {

	re := regexp.MustCompile(`coverage: (.*)\n`)
	matches := re.FindSubmatch(out)
	if matches == nil {
		// Probably running "go test -cover" not "go test -cover fmt".
		// The coverage output will appear in the output directly.
		return ""
	}
	return fmt.Sprintf("\tcoverage: %s", matches[1])
}

// builderCleanTest is the action for cleaning up after a test.

   * 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();