public:
  // Sets the name of the operation: this is an optional identifier that is
  // not intended to carry semantics and preserved/propagated without
  // guarantees.
  virtual Status SetOpName(const char* op_name) = 0;

  // For LLVM style RTTI.
  static bool classof(const AbstractOperation* ptr) {
    return ptr->getKind() == kGraph || ptr->getKind() == kMlir;
  }
};

namespace internal {

	var optionMap = make(map[string]string)
	for _, option := range options {
		optName := strings.Split(option, ":")[0]
		optionMap[optName] = option
	}
	for _, option := range newOption {
		optName := strings.Split(option, ":")[0]
		optionMap[optName] = option
	}

	options = []string{}
	for _, v := range optionMap {
		options = append(options, v)
	}

namespace tensorflow {

Status ShapeAnnotationsMatch(
    const Graph& graph, const GraphShapeInfo& shape_info,
    std::map<string, std::vector<PartialTensorShape>> expected_shapes) {
  for (Node* node : graph.op_nodes()) {
    auto sit = shape_info.find(node->name());
    TF_RET_CHECK(sit != shape_info.end())
        << "Missing shape information for node " << node->name();
    std::vector<PartialTensorShape> shapes;

			}
			volumeNames = append(volumeNames, v)
			podNames = append(podNames, p)
			nodeNames = append(nodeNames, n)
		}

		t.Run(fmt.Sprintf("Test %d", test.testID), func(t *testing.T) {
			if test.expectPass {
				testConcurrentOperationsPositive(t,
					volumeNames[0], podNames[0], nodeNames[0],
					volumeNames[1], podNames[1], nodeNames[1],
				)
			} else {

     */
    public static final String PATH_SEPARATOR = System.getProperty("path.separator");

    /**
     * <code>os.name</code> システムプロパティ。例:<code>Mac OS X</code>
     */
    public static final String OS_NAME = System.getProperty("os.name");

    /**
     * <code>java.io.tmpdir</code> システムプロパティ。例：/tmp
     */
    public static final String JAVA_IO_TMPDIR = System.getProperty("java.io.tmpdir");

    /**

  return false;
}

OpInfo::OpInfo(const OpDef& graph_op_def, const ApiDef& api_def,
               const std::vector<string>& aliases)
    : graph_op_def(graph_op_def), api_def(api_def), aliases(aliases) {
  op_name = SeparateNamespaces(api_def.endpoint(0).name());
  InferOpAttributes(graph_op_def, &inferred_input_attrs);
  has_optional_attrs = HasOptionalAttrs(api_def, inferred_input_attrs);

  (llvm::StringRef(select_user_tf_ops))
      .split(user_ops, ',', /*MaxSplit=*/-1,
             /*KeepEmpty=*/false);
  llvm::for_each(user_ops, [&toco_flags](llvm::StringRef op_name) {
    *(toco_flags.add_select_user_tf_ops()) = op_name.str();
  });

  std::string result;
  std::optional<tensorflow::Session *> session = std::nullopt;
  if (bundle) session = bundle->GetSession();

  return TensorHandlePtr(var_value);
}

void Variable::GeneralAssignment(const char* op_name, TFE_Context* context,
                                 TFE_TensorHandle* value, TF_Status* status) {
  std::unique_ptr<TFE_Op, decltype(&TFE_DeleteOp)> op(
      TFE_NewOp(context, op_name, status), &TFE_DeleteOp);
  if (TF_GetCode(status) != TF_OK) return;
  TFE_OpSetAttrType(op.get(), "dtype", type_);

  OpInfo(const OpDef& graph_op_def, const ApiDef& api_def);
  string GetOpAttrStruct() const;
  string GetConstructorDecl(StringPiece op_name_prefix,
                            bool include_attr) const;

  string op_name;
  std::vector<string> arg_types;
  std::vector<string> arg_names;
  std::vector<string> output_types;
  std::vector<string> output_names;
  std::vector<bool> is_list_output;
  bool has_optional_attrs;

        String test = name;
        boolean reverse = false;

        if (test.startsWith("!")) {
            reverse = true;
            test = test.substring(1);
        }

        boolean result = Os.OS_NAME.equals(test);

        if (reverse) {
            return !result;
        } else {
            return result;
        }
    }

    private boolean determineFamilyMatch(String family) {