class NamedParallelDevice {
 public:
  NamedParallelDevice(const std::string& name,
                      std::unique_ptr<ParallelDevice> parallel_device)
      : device_name_(name), parallel_device_(std::move(parallel_device)) {}
  const std::string& name() const { return device_name_; }
  const ParallelDevice& device() const { return *parallel_device_; }

 private:
  std::string device_name_;
  std::unique_ptr<ParallelDevice> parallel_device_;
};

	// if C.free is needed).
	func C.CString(string) *C.char

	// Go []byte slice to C array
	// The C array is allocated in the C heap using malloc.
	// It is the caller's responsibility to arrange for it to be
	// freed, such as by calling C.free (be sure to include stdlib.h
	// if C.free is needed).
	func C.CBytes([]byte) unsafe.Pointer

	// C string to Go string
	func C.GoString(*C.char) string

  // Convert from TF_Output and TF_Tensor to a string and Tensor.
  std::vector<std::pair<string, Tensor>> input_pairs(ninputs);
  if (!TF_Run_Inputs(input_values, &input_pairs, status)) return;
  for (int i = 0; i < ninputs; ++i) {
    input_pairs[i].first = OutputName(inputs[i]);
  }

  // Convert from TF_Output to string names.
  std::vector<string> output_names(noutputs);
  for (int i = 0; i < noutputs; ++i) {

<resources>
  <string name="app_name">android-test</string>

    *   New endpoints in tf.strings namespace: `tf.strings.join` (corresponds to
        `tf.string_join`), `tf.strings.regex_replace`, `tf.strings.to_number`
        (corresponds to `tf.string_to_number`), `tf.strings.strip` (corresponds
        to `tf.string_strip`), `tf.strings.substr`, `tf.strings.to_hash_bucket`
        (corresponds to `tf.string_to_hash_bucket`),
        `tf.strings.to_hash_bucket_fast` (corresponds to

        String field = "filetype";
        String query = "others";
        String wcQuery1 = "othe*";
        String wcQuery2 = "oth??s";
        Map<String, String> params = new HashMap<>();
        params.put("q", field + ":" + query);
        params.put("num", "100");
        String response = checkMethodBase(new HashMap<>()).params(params).get("/api/v1/documents").asString();

    ImmutableSet<String> eightColons =
        ImmutableSet.of("::7:6:5:4:3:2:1", "::7:6:5:4:3:2:0", "7:6:5:4:3:2:1::", "0:6:5:4:3:2:1::");

    for (String ipString : eightColons) {
      // Shouldn't hit DNS, because it's an IP string literal.
      InetAddress ipv6Addr = InetAddress.getByName(ipString);
      assertEquals(ipv6Addr, InetAddresses.forString(ipString));
      assertTrue(InetAddresses.isInetAddress(ipString));
    }
  }

    }

    @Override
    public String toString() {
      return "-\u221e";
    }

    private Object readResolve() {
      return INSTANCE;
    }

    private static final long serialVersionUID = 0;
  }

  /*
   * The implementation neither produces nor consumes any non-null instance of
   * type C, so casting the type parameter is safe.
   */
  @SuppressWarnings("unchecked")

private
fun <T> T.matchesNameAndIsSince(candidateName: String, version: String): Boolean where T : BodyDeclaration<*>, T : NodeWithSimpleName<*> =
    takeIf { it.matchesName(candidateName) }?.isSince(version) == true


private
fun <T : NodeWithSimpleName<*>> T.matchesName(candidateName: String) =
    matchesName(name.asString(), candidateName)


private
fun matchesName(name: String, candidateName: String) =

  return th;
}

TFE_TensorHandle* TestScalarTensorHandle(TFE_Context* ctx,
                                         const tensorflow::tstring& value) {
  TF_Status* status = TF_NewStatus();
  TF_Tensor* t = TFE_AllocateHostTensor(ctx, TF_STRING, nullptr, 0, status);
  tstring* data = static_cast<tstring*>(TF_TensorData(t));
  *data = value;
  TFE_TensorHandle* th = TFE_NewTensorHandleFromTensor(ctx, t, status);