byte[] challenge = hex("1122334455667788");

        // Act
        byte[] r1 = NtlmUtil.getNTLMResponse(password, challenge);
        byte[] r2 = NtlmUtil.getNTLMResponse(NtlmUtil.getNTHash(password), challenge);

        // Assert
        assertArrayEquals(r2, r1);
        assertEquals(24, r1.length);
    }

    @Test
    @DisplayName("getNTLM2Response: returns 24 bytes and changes with inputs")

	// ADDV C_SCON, [r1], r2
	ADDV	$0x321, R4			// ADDV	$801, R4			// 8484cc02
	ADDV	$0x321, R5, R4			// ADDV	$801, R5, R4			// a484cc02
	ADDV	$0xfffffffffffffc21, R4		// ADDV	$-991, R4			// 8484f002
	ADDV	$0xfffffffffffffc21, R5, R4	// ADDV	$-991, R5, R4			// a484f002

	// AND C_SCON, [r1], r2
	AND	$0x321, R4			// AND	$801, R4			// 84844c03

	const haveFastIndex = bytealg.MaxBruteForce > 0
	switch {
	case 0 <= r && r < utf8.RuneSelf:
		return IndexByte(s, byte(r))
	case r == utf8.RuneError:
		for i := 0; i < len(s); {
			r1, n := utf8.DecodeRune(s[i:])
			if r1 == utf8.RuneError {
				return i
			}
			i += n
		}
		return -1
	case !utf8.ValidRune(r):
		return -1
	default:
		// Search for rune r using the last byte of its UTF-8 encoded form.

*   Updated docs for `tf.keras`: New Keras-based
    [get started](http://tensorflow.org/versions/r1.9/get_started), and
    [programmers guide page](http://tensorflow.org/versions/r1.9/programmers_guide/keras).
*   Update `tf.keras` to the Keras 2.1.6 API.
*   Added
    [`tf.keras.layers.CuDNNGRU`](https://www.tensorflow.org/versions/r1.9/api_docs/python/tf/keras/layers/CuDNNGRU)
    and