LogicalResult matchAndRewrite(TF::CustomAggregatorOp op,
                                PatternRewriter &rewriter) const override {
    FloatAttr min = mlir::dyn_cast_or_null<FloatAttr>(op->getAttr("min"));
    FloatAttr max = mlir::dyn_cast_or_null<FloatAttr>(op->getAttr("max"));

    // When there are no min and max attributes, remove op.
    if (min == nullptr || max == nullptr) {
      op.getOutput().replaceAllUsesWith(op.getInput());

    OP_REQUIRES_OK(context,
                   context->GetAttr("output_file_path", &output_file_path));
    OP_REQUIRES_OK(context, context->env()->NewWritableFile(output_file_path,
                                                            &output_file_));

    OP_REQUIRES_OK(context, context->GetAttr("ids", &ids_));
    OP_REQUIRES_OK(context, context->GetAttr("calibration_methods",

                        Collection<Configuration> plusConfigurations = model.getClasspath().getPlusConfigurations();
                        EclipseWtpComponent component = model.getWtp().getComponent();
                        plusConfigurations.addAll(component.getRootConfigurations());
                        plusConfigurations.addAll(component.getLibConfigurations());
                    }

  // Check that there are no duplicated exported_names.
  DenseMap<StringRef, Operation *> exported_name_to_op;
  for (auto &op : module) {
    auto attr = op.getAttr(exported_names_ident);
    if (!attr) continue;
    // If this verifier is called before we verify the
    // 'tf_saved_model.exported_names' attribute, then it might be invalid.

                        ctx->GetAttr("Tconstants", &constant_types));
  std::vector<int> constants(constant_types.size());
  std::iota(constants.begin(), constants.end(), 0);
  return constants;
}

std::vector<int> ResourcesVector(OpKernelConstruction* ctx) {
  DataTypeVector constant_types;
  OP_REQUIRES_OK_RETURN(ctx, std::vector<int>(),
                        ctx->GetAttr("Tconstants", &constant_types));

    cc_type v;                                                                 \
    auto* cc_ctx = reinterpret_cast<::tensorflow::OpKernelConstruction*>(ctx); \
    absl::Status s = cc_ctx->GetAttr(attr_name, &v);                           \
    ::tensorflow::Set_TF_Status_from_Status(status, s);                        \
    if (s.ok()) {                                                              \

    if (failed(TF::HasValidCompilationAndReplicationAttributes(*op)))
      return WalkResult::interrupt();
    if (op->hasAttr(TF::kReplicationInfoAttr)) {
      op->setAttr(TF::kTpuReplicateAttr, op->getAttr(TF::kReplicationInfoAttr));
      op->removeAttr(TF::kReplicationInfoAttr);
      op->removeAttr(TF::kCompileDeviceTypeAttr);
    }
    return mlir::WalkResult::advance();
  });
  return failure(result.wasInterrupted());

                return new AnythingMatcher();
            }
            return new GreedyPathMatcher(compile(parts, pos, caseSensitive));
        }
        return new FixedStepPathMatcher(PatternStepFactory.getStep(parts.get(pos), caseSensitive), compile(parts, pos + 1, caseSensitive));
    }

    @VisibleForTesting
    static class DefaultPatternMatcher extends PatternMatcher {
        private final boolean partialMatchDirs;

	includeMx bool,
) []*listener.Filter {
	idleTimeout := destinationRule.GetTrafficPolicy().GetConnectionPool().GetTcp().GetIdleTimeout()
	if idleTimeout == nil {
		idleTimeout = parseDuration(lb.node.Metadata.IdleTimeout)
	}
	tcpProxy := &tcp.TcpProxy{
		StatPrefix:                      statPrefix,

func NewCachingConfigMapManager(kubeClient clientset.Interface, getTTL manager.GetObjectTTLFunc) Manager {
	getConfigMap := func(namespace, name string, opts metav1.GetOptions) (runtime.Object, error) {
		return kubeClient.CoreV1().ConfigMaps(namespace).Get(context.TODO(), name, opts)
	}
	configMapStore := manager.NewObjectStore(getConfigMap, clock.RealClock{}, getTTL, defaultTTL)
	return &configMapManager{