// 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) {

	// }
	import "C"
	import "unsafe"

	func main() {
		cs := C.CString("Hello from stdio")
		C.myprint(cs)
		C.free(unsafe.Pointer(cs))
	}

A few special functions convert between Go and C types
by making copies of the data. In pseudo-Go definitions:

	// Go string to C string
	// The C string is allocated in the C heap using malloc.
	// It is the caller's responsibility to arrange for it to be

        assertEquals("teststring", InputValidator.sanitizeForLogging("test\nstring"));
        assertEquals("teststring", InputValidator.sanitizeForLogging("test\rstring"));
        assertEquals("teststring", InputValidator.sanitizeForLogging("test\tstring"));

        // Test long string truncation
        String longString = "a".repeat(1100);

    *   The byte layout for string tensors across the C-API has been updated to
        match TF Core/C++; i.e., a contiguous array of
        `tensorflow::tstring`/`TF_TString`s.
    *   C-API functions `TF_StringDecode`, `TF_StringEncode`, and
        `TF_StringEncodedSize` are no longer relevant and have been removed; see
        `core/platform/ctstring.h` for string access/modification in C.

        });
    }

    @Test
    public void testStringWithAllowedWhitespace() throws Exception {
        validator.validateString("test\tstring", 100, "test");
        validator.validateString("test\r\nstring", 100, "test");
        // Should pass without exception
    }

    @Test
    public void testValidPath() throws Exception {
        validator.validatePath("\\share\\folder\\file.txt");

               const std::string& op_name, const std::string& send_device,
               const std::string& recv_device,
               tensorflow::uint64 send_device_incarnation);

// Return a RecvOp op `op_name` with the attributes `send_device`,
// `recv_device`, and `send_device_incarnation` set.
TFE_Op* RecvOp(TFE_Context* ctx, const std::string& op_name,

  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);

  virtual const FunctionDef* FindFunctionDef(const string& name) const = 0;

  // Find and return a function record added by its name.
  virtual core::RefCountPtr<FunctionRecord> FindRecord(
      const string& name) const = 0;

  // Return the ParsedName of Host CPU device.
  virtual const DeviceNameUtils::ParsedName& HostCPUParsedName() const = 0;
  virtual const string& HostCPUName() const = 0;

  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);

  // Test TF_Operation*() query functions.
  EXPECT_EQ(std::string("feed"), std::string(TF_OperationName(feed)));
  EXPECT_EQ(std::string("Placeholder"), std::string(TF_OperationOpType(feed)));
  EXPECT_EQ(std::string(""), std::string(TF_OperationDevice(feed)));
  EXPECT_EQ(1, TF_OperationNumOutputs(feed));
  EXPECT_EQ(TF_INT32, TF_OperationOutputType(TF_Output{feed, 0}));

| iss        | _string_       | The issuer of the JWT. The '> Identity Provider Entity Id ' value of the OAuth2/OpenID Connect Inbound Authentication configuration of the Resident Identity Provider is returned here. |
| aud        | _string array_ | The token audience list. The client identifier of the OAuth clients that the JWT is intended for, is sent herewith.                                                                     |