*/
    @ParameterizedTest
    @MethodSource("provideErrorClassAndCodeForGetErrorString")
    @DisplayName("getErrorString should return correct messages for all defined error classes and codes")
    void testGetErrorString(int errorClass, int errorCode, String expectedMessage) {
        assertEquals(expectedMessage, NbtException.getErrorString(errorClass, errorCode),

Let's look at how we can make that work.

## pytest.mark.anyio { #pytest-mark-anyio }

     */
    @Test
    void testGetFlags() {
        int expectedFlags = 0xAABBCCDD;
        AvFlags avFlags = new AvFlags(expectedFlags);
        assertEquals(expectedFlags, avFlags.getFlags(), "getFlags should return the correct integer value");
    }

        assertEquals(targetName, avTargetName.getTargetName(), "Retrieved target name should match the original string");
    }

    /**
     * Test getTargetName() method with raw bytes input.
     * Verifies that the correct string is reconstructed from raw UTF-16LE bytes.
     */
    @Test
    void testGetTargetNameFromRawBytesConstructor() {
        String originalString = "RawBytesTarget";

             * to populate fields if the writeXxx operation needs this header data
             * for whatever reason. I copy over the uid here so it appears correct
             * in logging output. Logging of andx segments of messages inadvertantly
             * print header information because of the way toString always makes a

Because we can trust it to receive the `username` and `password`, as we control it.

But if you are building an OAuth2 application that others would connect to (i.e., if you are building an authentication provider equivalent to Facebook, Google, GitHub, etc.) you should use one of the other flows.

The most common is the implicit flow.

        NdrLong ndrLong = new NdrLong(testValue);

        // Call the encode method
        ndrLong.encode(mockNdrBuffer);

        // Verify that enc_ndr_long was called exactly once with the correct value
        verify(mockNdrBuffer, times(1)).enc_ndr_long(testValue);
        // Verify that no other interactions occurred with the mock buffer
        verifyNoMoreInteractions(mockNdrBuffer);
    }

    @Test

```

### 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.

### 5. (optional) Any other info / logs

      "https://tls13.akamai.io/",
      "https://swifttls.org/",
      "https://www.googleapis.com/robots.txt",
      "https://graph.facebook.com/robots.txt",
      "https://api.twitter.com/robots.txt",
      "https://connect.squareup.com/robots.txt",
    )

  println("TLS1.3+TLS1.2")
  testClient(urls, buildClient(ConnectionSpec.RESTRICTED_TLS))

  println("\nTLS1.3 only")
  testClient(urls, buildClient(TLS_13))

fields with incorrect case will no longer be valid. You must correct these files before upgrading.** When specifying keys in JSON resource definitions during direct API server communication, the keys are case-sensitive. A bug introduced in Kubernetes 1.8 caused the API server to accept a request with incorrect case and coerce it to correct case, but this behaviour has been fixed in 1.11 and the API server will once again be enforcing the correct case. It’s worth noting that during this time, the `kubectl`...