pod := endpointsliceutil.GetPodFromDeleteAction(obj)
	if pod != nil {
		c.addPod(pod)
	}
}

func (c *Controller) addNode() {
	c.topologyQueue.Add(topologyQueueItemKey)
}

func (c *Controller) updateNode(old, cur interface{}) {
	oldNode := old.(*v1.Node)
	curNode := cur.(*v1.Node)

	// LabelTopologyZone may be added by cloud provider asynchronously after the Node is created.

// PreFilterExtensions returns prefilter extensions, pod add and remove.
func (pl *InterPodAffinity) PreFilterExtensions() framework.PreFilterExtensions {
	return pl
}

// AddPod from pre-computed data in cycleState.
func (pl *InterPodAffinity) AddPod(ctx context.Context, cycleState *framework.CycleState, podToSchedule *v1.Pod, podInfoToAdd *framework.PodInfo, nodeInfo *framework.NodeInfo) *framework.Status {

	// loong64 ELF relocation (endian neutral)
	//		offset     uint64
	//		symreloc   uint64  // The high 32-bit is the symbol, the low 32-bit is the relocation type.
	//		addend     int64

	elfsym := ld.ElfSymForReloc(ctxt, r.Xsym)
	switch r.Type {
	default:
		return false
	case objabi.R_ADDR, objabi.R_DWARFSECREF:
		switch r.Size {
		case 4:
			out.Write64(uint64(sectoff))

    TF_ASSERT_OK_AND_ASSIGN(module_,
                            GetMlirModuleFromString(module_string, &context_));

    pm_ = std::make_unique<mlir::PassManager>(&context_);
    pm_->addPass(CreateInferenceMetricsPass());
  }
  mlir::LogicalResult Run() { return pm_->run(module_.get()); }

 private:
  MLIRContext context_;
  OwningOpRef<ModuleOp> module_;
  std::unique_ptr<mlir::PassManager> pm_;
};

        printf "%s\n" "$arg"
      fi
    done
    echo ""
  }

  exec "$@"
}
addJava () {
  dlog "[addJava] arg = '$1'"
  java_args=( "${java_args[@]}" "$1" )
}
addApp () {
  dlog "[addApp] arg = '$1'"
  sbt_commands=( "${app_commands[@]}" "$1" )
}
addResidual () {
  dlog "[residual] arg = '$1'"
  residual_args=( "${residual_args[@]}" "$1" )
}
addDebugger () {

     * comment: <br>
     * one day: 86400000, three days: 259200000, five days: 432000000, one week: 604800000, one year: 31556926000<br>
     * special script :: absolute mode: $(2014/07/10), relative mode: addDay(3).addMonth(4)<br>
     * The milliseconds for (relative or absolute) adjust time (set only when test) @LongType *dynamic in development

    LOG(ERROR) << "Couldn't import flatbuffer to MLIR.";
    return absl::InternalError("Couldn't import flatbuffer to MLIR.");
  }

  PassManager pm((*module)->getName(), OpPassManager::Nesting::Implicit);
  pm.addPass(TFL::CreateDenseToSparsePass());

  if (failed(pm.run(module.get()))) {
    LOG(ERROR) << "Failed to sparsify: "
               << statusHandler.ConsumeStatus().message();
    return absl::InternalError(absl::StrCat(

      ParseTextProto(GetQuantizationSpecsTextProto(quantization_specs_));
  if (!quantization_specs.ok()) {
    signalPassFailure();
    return;
  }

  pass_manager.addPass(
      CreateLiftQuantizableSpotsAsFunctionsPass(*quantization_specs));

  if (failed(pass_manager.run(getOperation()))) {
    signalPassFailure();
  }
}

}  // namespace

	for _, pod := range pods {
		nodeName := pod.Spec.NodeName
		if _, ok := nodeNameToInfo[nodeName]; !ok {
			nodeNameToInfo[nodeName] = framework.NewNodeInfo()
		}
		nodeNameToInfo[nodeName].AddPod(pod)
	}
	imageExistenceMap := createImageExistenceMap(nodes)

	for _, node := range nodes {
		if _, ok := nodeNameToInfo[node.Name]; !ok {
			nodeNameToInfo[node.Name] = framework.NewNodeInfo()
		}

  passes(&pm);

  return pm.run(module.get()).succeeded();
}

std::function<void(PassManager*)> legalizeTFPasses() {
  return [](PassManager* pm) {
    pm->addPass(mlir::mhlo::createLegalizeTFPass(
        /* legalize_chlo=*/true, llvm::StringRef("gpu/xpu"),
        /* prefer_tf2xla=*/false));
  };
}

TEST(XlaLegalizeTest, IllegalOp) {
  constexpr char kMlirIllegalOpStr[] = R"(