// Consuming ECDH ServerKeyExchange handshake message
          // Consuming ServerHelloDone handshake message
          // Produced ECDHE ClientKeyExchange handshake message
          // Produced client Finished handshake message
          // Consuming server Finished handshake message
          // Produced ClientHello handshake message
          //
          // Raw write
          // Raw read
          // Plaintext before ENCRYPTION

        byte[] signingKey2 = Smb3KeyDerivation.deriveSigningKey(dialect, sessionKey, preauthIntegrity);

        // Then - should produce identical results
        assertArrayEquals(signingKey1, signingKey2, "Same input should produce same output");
    }

    @Test
    @DisplayName("Should handle empty session key")
    void testDeriveKeys_EmptySessionKey() {
        // Given

```mermaid
sequenceDiagram
    participant App
    participant Client

    App->>App: Produce Item 1
    App->>Client: Send Item 1
    App->>App: Produce Item 2
    Client->>Client: Process Item 1
    App->>Client: Send Item 2
    App->>App: Produce Item 3
    Client->>Client: Process Item 2
    App->>Client: Send Item 3
    Client->>Client: Process Item 3

   *
   * - stored permits (if available)
   *
   * - fresh permits (for any remaining permits)
   *
   * How this works is best explained with an example:
   *
   * For a RateLimiter that produces 1 token per second, every second that goes by with the
   * RateLimiter being unused, we increase storedPermits by 1. Say we leave the RateLimiter unused

                                                    TF_Status* status);

// Returns the device type of the operation that produced `h`.
TF_CAPI_EXPORT extern const char* TFE_TensorHandleDeviceType(
    TFE_TensorHandle* h, TF_Status* status);

// Returns the device ID of the operation that produced `h`.
TF_CAPI_EXPORT extern int TFE_TensorHandleDeviceID(TFE_TensorHandle* h,

    // vol. 2, Knuth, 4.2.2, (16) to the two-variable case. We have two value series x_i and y_i.
    // We define the arithmetic means X_n = 1/n \sum_{i=1}^n x_i, and Y_n = 1/n \sum_{i=1}^n y_i.
    // We also define the sum of the products of the differences from the means
    //           C_n = \sum_{i=1}^n x_i y_i - n X_n Y_n
    // for all n >= 1. Then for all n > 1:
    //       C_{n-1} = \sum_{i=1}^{n-1} x_i y_i - (n-1) X_{n-1} Y_{n-1}

        NegTokenInit parsed = new NegTokenInit(token);
        assertEquals(flags, parsed.getContextFlags(), "Context flags should parse from DER BIT STRING");
    }

    @Test
    @DisplayName("Sanity: toByteArray produces APPLICATION class wrapper and valid structure")
    void testToByteArrayStructureSanity() throws Exception {
        NegTokenInit init =

 * monitoring, debugging, and cancellation. Examples of frameworks include:
 *
 * <ul>
 *   <li><a href="https://dagger.dev/producers.html">Dagger Producers</a>
 * </ul>
 *
 * <p>If you do chain your operations manually, you may want to use {@link FluentFuture}.
 *
 * @author Kevin Bourrillion
 * @author Nishant Thakkar
 * @author Sven Mawson

```

### 3. Failure after conversion
If the conversion is successful, but the generated model is wrong, then state what is wrong:

- Model produces wrong results and/or has lesser accuracy.
- Model produces correct results, but it is slower than expected.

### 4. (optional) RNN conversion support
If converting TF RNN to TFLite fused RNN ops, please prefix [RNN] in the title.

        // Assert
        assertArrayEquals(expected, actual, "NT hash must match known test vector");
    }

    @Test
    @DisplayName("getNTHash: verify different passwords produce different hashes")
    void testGetNTHash_differentPasswords() {
        // Arrange
        String password1 = "password";
        String password2 = "Password";

        // Act