};

TEST(Dump, TextualIrToFileSuccess) {
  Graph graph(OpRegistry::Global());
  Node* node;
  TF_CHECK_OK(NodeBuilder("A", "NoOp").Finalize(&graph, &node));

  setenv("TF_DUMP_GRAPH_PREFIX", testing::TmpDir().c_str(), 1);
  UseMlirForGraphDump(MlirDumpConfig());
  string ret = DumpGraphToFile("tir", graph);
  ASSERT_EQ(ret, io::JoinPath(testing::TmpDir(), "tir.mlir"));

  string actual;

    context_.loadAllAvailableDialects();
    env_ = Env::Default();

    test_group_name_ = "TestGroup";
    test_dir_ = testing::TmpDir();
    setenv("TF_DUMP_GRAPH_PREFIX", test_dir_.c_str(), 1);
  }

  absl::Status CreateMlirModule(std::string mlir_module_filename) {
    std::string mlir_module_path = TestDataPath() + mlir_module_filename;
    mlir_module_ =

				req.AddCookie(c)
			}

			got := req.CookiesNamed(tt.filter)

			if !reflect.DeepEqual(got, tt.want) {
				asStr := func(v any) string {
					blob, _ := json.MarshalIndent(v, "", "  ")
					return string(blob)
				}
				t.Fatalf("Result mismatch\n\tGot: %s\n\tWant: %s", asStr(got), asStr(tt.want))
			}
		})
	}
}

const (
	fileaContents = "This is a test file."

    Set(rhs);
    return *this;
  }

  void Set(const FilePath& rhs) {
    pathname_ = rhs.pathname_;
  }

  const std::string& string() const { return pathname_; }
  const char* c_str() const { return pathname_.c_str(); }

  // Returns the current working directory, or "" if unsuccessful.
  static FilePath GetCurrentDir();

  // Given directory = "dir", base_name = "test", number = 0,

const char* TF_OperationName(TF_Operation* oper) {
  return oper->node.name().c_str();
}

const char* TF_OperationOpType(TF_Operation* oper) {
  return oper->node.type_string().c_str();
}

const char* TF_OperationDevice(TF_Operation* oper) {
  return oper->node.requested_device().c_str();
}

int TF_OperationNumOutputs(TF_Operation* oper) {
  return oper->node.num_outputs();

  const llvm::Target* target =
      llvm::TargetRegistry::lookupTarget(normalized_triple, error);
  if (target == nullptr) {
    return xla::Internal("TargetRegistry::lookupTarget failed: %s",
                         error.c_str());
  }

  return absl::WrapUnique(target->createTargetMachine(
      normalized_triple, /*CPU=*/"",
      /*Features=*/"", llvm::TargetOptions(), std::nullopt));
}

  return FlatBufferModel::BuildFromFile(model_path.c_str());
}

std::unique_ptr<FlatBufferModel> ReadSharedWeightsTestModel() {
  auto model_path = tensorflow::io::JoinPath(*g_test_model_dir,
                                             internal::kModelWithSharedWeights);
  return FlatBufferModel::BuildFromFile(model_path.c_str());
}

std::unique_ptr<FlatBufferModel> ReadGatherTestModel() {

	// ABIs.
	ABIInternal

	ABICount
)

// ParseABI converts from a string representation in 'abistr' to the
// corresponding ABI value. Second return value is TRUE if the
// abi string is recognized, FALSE otherwise.
func ParseABI(abistr string) (ABI, bool) {
	switch abistr {
	default:
		return ABI0, false
	case "ABI0":
		return ABI0, true
	case "ABIInternal":
		return ABIInternal, true

      type = type.replace(0, 5, "");
      type = type.replace(type.size() - 1, 1, "");
    }
    op_name += type;
    return TF_NewOperation(
        graph_, op_name.c_str(),
        ::tensorflow::strings::StrCat("name", counter_++).c_str());
  }

  TF_Status* s_;

 private:
  TF_Graph* graph_;
  int counter_;
};

// Helper macros for the TF_OperationGetAttr* tests.

          test_name_stream << test_info->test_base_name << "/" << i;
          MakeAndRegisterTestInfo(
              test_case_name.c_str(),
              test_name_stream.GetString().c_str(),
              NULL,  // No type parameter.
              PrintToString(*param_it).c_str(),
              GetTestCaseTypeId(),
              TestCase::SetUpTestCase,
              TestCase::TearDownTestCase,