return project;
    }

    @Override
    public XmlTransformer getXmlTransformer() {
        if (ideaProject == null) {
            return super.getXmlTransformer();
        }
        return ideaProject.getIpr().getXmlTransformer();
    }

    /**
     * output *.ipr file
     */
    @Override
    public File getOutputFile() {
        if (ideaProject == null) {
            return super.getOutputFile();
        }

  if (shared_name.empty()) return false;

  for (func::FuncOp init_func_op :
       tf_saved_model::GetInitializerFunctions(module_op)) {
    for (Operation& op : init_func_op.getBody().getOps()) {
      StringRef other_shared_name = GetSharedName(&op);
      if (IsHashTableOp(&op) && other_shared_name == shared_name) {
        return true;
      }
    }
  }
  return false;
}

    if (!main_func) continue;

    SymbolTable symbol_table(module_op);
    for (auto call_op : main_func.getOps<TF::PartitionedCallOp>()) {
      func_ops.push_back(dyn_cast_or_null<func::FuncOp>(symbol_table.lookup(
          mlir::cast<FlatSymbolRefAttr>(call_op.getFAttr()).getValue())));
    }
    for (auto call_op : main_func.getOps<TF::StatefulPartitionedCallOp>()) {
      func_ops.push_back(

  const FunctionNameMatcher matcher(spec.matcher().function_name());
  // Iterate over all XlaCallModuleOp in all FuncOps.
  for (auto func : module_op.getOps<func::FuncOp>()) {
    for (auto xla_call_module_op : func.getOps<TF::XlaCallModuleOp>()) {
      if (!matcher.Match(xla_call_module_op)) continue;

      // Set the text representation of `Method` to matched
      // `TF::XlaCallModuleOp`.

	r.mu.Lock()
	defer r.mu.Unlock()
	getDst := func(n int) []byte {
		if cap(dst) < n {
			return make([]byte, n)
		}
		return dst[:n]
	}

	if r.w == r.r {
		if r.isFull {
			buf := getDst(r.size)
			copy(buf, r.buf[r.r:])
			copy(buf[r.size-r.r:], r.buf[:r.w])
			return buf
		}
		return nil
	}

	if r.w > r.r {
		buf := getDst(r.w - r.r)
		copy(buf, r.buf[r.r:r.w])

    reason = "always runs in parallel, our mac currently lacks proper toolchain installations")
abstract class AbstractNativeSoftwareModelParallelIntegrationTest extends AbstractNativeParallelIntegrationTest {
    abstract HelloWorldApp getApp()

    @ToBeFixedForConfigurationCache
    def "can execute link executable tasks in parallel"() {
        given:
        withComponentForApp()

	}
	_ = matcher.HostMatcher(k, v)
	return 1
}

func FuzzMetadataListMatcher(data []byte) int {
	f := fuzz.NewConsumer(data)
	filter, err := f.GetString()
	if err != nil {
		return 0
	}
	number, err := f.GetInt()
	if err != nil {
		return 0
	}
	maxKeys := number % 100
	keys := make([]string, 0, maxKeys)
	for i := 0; i < maxKeys; i++ {
		key, err := f.GetString()
		if err != nil {
			return 0
		}

    builder.create<YieldOp>(island_op.getLoc(), yield_operands);
  }

  // Outline all the transitively called functions by moving them in the
  // outlined module.
  for (func::FuncOp func : outlined_module.getOps<func::FuncOp>()) {
    func.walk([&](Operation *op) {
      for (NamedAttribute attr : op->getAttrs()) {
        if (auto symbol_ref =
                mlir::dyn_cast<FlatSymbolRefAttr>(attr.getValue())) {

		PluginLogLevel:        istiolog.LevelToString(istiolog.FindScope(constants.CNIPluginLogScope).GetOutputLevel()),
		KubeconfigFilename:    viper.GetString(constants.KubeconfigFilename),
		KubeconfigMode:        viper.GetInt(constants.KubeconfigMode),
		KubeCAFile:            viper.GetString(constants.KubeCAFile),
		SkipTLSVerify:         viper.GetBool(constants.SkipTLSVerify),
		K8sServiceProtocol:    os.Getenv("KUBERNETES_SERVICE_PROTOCOL"),

      padding_nums.push_back(padding_elem.getInt());
    }
  } else if (conv_padding.strref() == "VALID") {
    padding_nums.resize(padding_nums_size, 0);
  } else {
    padding_nums.resize(padding_nums_size);
    for (int i = 0; i < dnums.input_spatial_dimensions_size(); ++i) {
      const int64_t stride =
          mlir::cast<IntegerAttr>(op.getWindowStridesAttr()[i]).getInt();
      const int64_t lhs_size_dilated =