assertNotNull(writeRequest);
        }

        @Test
        @DisplayName("Should accept null file ID in constructor")
        void testConstructorWithNullFileId() {
            assertDoesNotThrow(() -> new Smb2WriteRequest(mockConfig, null));
        }

        @Test
        @DisplayName("Should accept empty file ID in constructor")
        void testConstructorWithEmptyFileId() {

            while (!w.isReady() && System.currentTimeMillis() < deadline) {
                w.wait(10);
            }
            assertTrue(w.isReady(), "WriterThread should be ready to accept work");

            // Act: submit a write
            w.write(payload, 3, out);
        }

        // Assert: verify the underlying stream was called
        verify(out, timeout(1000)).write(payload, 0, 3);

                return false;
            }
        }
        if (this.nameFilter == null) {
            return true;
        }
        try {
            if (!this.nameFilter.accept(this.parent, name)) {
                return false;
            }
            return true;
        } catch (final CIFSException e) {
            log.error("Failed to apply name filter", e);
            return false;

         5a:d1:35:2d:fc:31:3a:10:e7:0c
```

> Observe the `Subject: CN = consoleAdmin` field.

Also, note that the certificate has to contain the `Extended Key Usage: TLS Web Client Authentication`. Otherwise, MinIO would not accept the certificate as client certificate.

Now, the STS certificate-based authentication happens in 4 steps:

- Client sends HTTP `POST` request over a TLS connection hitting the MinIO TLS STS API.

internal communication only. It is not built for use in untrusted environments
or networks.

For performance reasons, the default TensorFlow server does not include any
authorization protocol and sends messages unencrypted. It accepts connections
from anywhere, and executes the graphs it is sent without performing any checks.
Therefore, if you run a `tf.train.Server` in your network, anybody with access

		return
	}

	m.wg.Add(1)
	defer m.wg.Done()

	if atomic.LoadInt32(&m.closing) == 1 {
		return
	}

	select {
	case m.opCh <- op:
	default:
	}
}

// Do not accept new MRF operations anymore and start to save
// the current heal status in one available disk
func (m *mrfState) shutdown() {
	atomic.StoreInt32(&m.closing, 1)
	m.wg.Wait()
	close(m.opCh)

  fun regularResponse() {
    server.enqueue(MockResponse().setBody("hello world"))
    val url = server.url("/").toUrl()
    val connection = url.openConnection() as HttpURLConnection
    connection.setRequestProperty("Accept-Language", "en-US")
    val inputStream = connection.inputStream
    val reader = BufferedReader(InputStreamReader(inputStream, StandardCharsets.UTF_8))

**FastAPI** a sa propre `HTTPException`.

Et la classe d'erreur `HTTPException` de **FastAPI** hérite de la classe d'erreur `HTTPException` de Starlette.

La seule différence est que la `HTTPException` de **FastAPI** accepte toute donnée sérialisable en JSON pour le champ `detail`, tandis que la `HTTPException` de Starlette n'accepte que des chaînes.

Ainsi, vous pouvez continuer à lever la `HTTPException` de **FastAPI** normalement dans votre code.

            });
        } catch (Exception e) {
            // Expected in test environment without proper SearchEngineClient
            // The important thing is that the method exists and accepts the correct parameters
        }

        // Verify that the scroll method exists with correct signature
        try {

            verify(mockAddress, times(1)).toInetAddress();
        }

        @Test
        void shouldReturnNullWhenWrappedIsNeitherInetAddressNorAddress() throws Exception {
            // UniAddress only accepts InetAddress, NbtAddress (which implements Address), or Address
            // Testing with NbtAddress which doesn't return anything from toInetAddress
            NbtAddress nbtAddress = mock(NbtAddress.class);