when(address.getHostAddress()).thenReturn("127.0.0.1");
        when(address.getHostName()).thenReturn("localhost");

        // Create the transport with safe defaults (no real sockets)
        transport = new SmbTransportImpl(ctx, address, 445, null, 0, false);

        // Reset MID to a known starting point for deterministic behavior
        setField(transport, "mid", new AtomicLong());
    }

///

/// info | Información

Por supuesto, el `Content-Type` header real, el código de estado, etc., provendrán del objeto `Response` que devolviste.

///

### Documenta en OpenAPI y sobrescribe `Response` { #document-in-openapi-and-override-response }

 *       rate when using completely <i>random</i> sample input. The true test of a hash function is
 *       how it performs on representative real-world data, which tends to contain many hidden
 *       patterns and clumps. The goal of a good hash function is to stamp these patterns out as
 *       thoroughly as possible.

                mockedSMBUtil.verify(() -> SMBUtil.writeInt2(eq(0L), any(byte[].class), anyInt()));
            }
        }

        @Test
        @DisplayName("Should encode correctly with real SMBUtil")
        void testRealSMBUtilEncoding() {
            String path = "\\\\server\\share\\file.txt";
            int maxReferralLevel = 4;
            buffer = new DfsReferralRequestBuffer(path, maxReferralLevel);

    description: str | None = None
    get: Operation | None = None
    put: Operation | None = None
    post: Operation | None = None
    delete: Operation | None = None
    options: Operation | None = None
    head: Operation | None = None
    patch: Operation | None = None
    trace: Operation | None = None
    servers: list[Server] | None = None
    parameters: list[Parameter | Reference] | None = None

of dynamically. Here's the output from bazel query:
EOF
  cat $BATS_TEST_TMPDIR/out
  [[ ! -s $BATS_TEST_TMPDIR/out ]]
}

@test "All tensorflow.org/code links point to real files" {
    for i in $(grep -onI 'https://www.tensorflow.org/code/[a-zA-Z0-9/._-]\+' -r tensorflow); do
        target=$(echo $i | sed 's!.*https://www.tensorflow.org/code/!!g')

    blueQueue.cancelAll()
    assertThat(taskFaker.executeCallCount).isEqualTo(1)
  }

  @Test fun noMoreThanOneWorkerThreadWaitingToStartAtATime() {
    // Enqueueing the red task starts a thread because the head of the queue changed.
    redQueue.execute("red task") {
      log += "red:starting@${taskFaker.nanoTime}"
      taskFaker.sleep(100.µs)
      log += "red:finishing@${taskFaker.nanoTime}"
    }

Lo importante a recordar es que **el primer *parámetro de tipo*** que pasas a `Annotated` es el **tipo real**. El resto es solo metadata para otras herramientas.

Por ahora, solo necesitas saber que `Annotated` existe, y que es Python estándar. 😎

Luego verás lo **poderoso** que puede ser.

/// tip | Consejo

{* ../../docs_src/security/tutorial004_an_py310.py hl[93:110] *}

## Update the `/token` *path operation* { #update-the-token-path-operation }

Create a `timedelta` with the expiration time of the token.

Create a real JWT access token and return it.

{* ../../docs_src/security/tutorial004_an_py310.py hl[121:136] *}

### Technical details about the JWT "subject" `sub` { #technical-details-about-the-jwt-subject-sub }

        }
        assertEquals("\"field999\"", result[999]);

    }

    @Test
    public void test_parse_complex_scenarios() {
        String value;
        String[] result;

        // Complex real-world-like data - quotes are preserved
        value = "\"John Doe\",\"Software Engineer\",\"******@****.***\",\"Loves \"\"coding\"\" and coffee\"";
        result = KuromojiCSVUtil.parse(value);