@BeforeEach
    void setUp() {
        mockConfig = mock(Configuration.class);
        mockContext = mock(CIFSContext.class);
        when(mockContext.getConfig()).thenReturn(mockConfig);

        // Create a test file ID (16 bytes)
        testFileId = new byte[16];
        for (int i = 0; i < 16; i++) {
            testFileId[i] = (byte) (i + 1);
        }

        request = new Smb2FlushRequest(mockConfig, testFileId);

        assertNull(emptyIterator.next(), "Final next call");
    }

    @Test
    @DisplayName("EmptyIterator should be lightweight and efficient")
    void testPerformanceCharacteristics() {
        // When - create many instances quickly
        long startTime = System.currentTimeMillis();

        for (int i = 0; i < 10000; i++) {
            EmptyIterator iterator = new EmptyIterator();
            iterator.hasNext();

## Changelog since v1.32.6

## Changes by Kind

### Bug or Regression

- Fix a bug causing unexpected delay of creating pods for newly created jobs ([#132159](https://github.com/kubernetes/kubernetes/pull/132159), [@linxiulei](https://github.com/linxiulei)) [SIG Apps and Testing]

        buffer[offset++] = (byte) 0x80; // Non-zero value for directory

        // Decode
        int bytesDecoded = fileStandardInfo.decode(buffer, 0, buffer.length);

        // Verify - non-zero values should be treated as true
        assertEquals(22, bytesDecoded);
        assertEquals(expectedEndOfFile, fileStandardInfo.getSize());
    }

    @Test
    @DisplayName("Test encode with various values")

Para añadirlo a tu *path operation*, decláralo de la misma manera que declaraste parámetros de path y query:

{* ../../docs_src/body/tutorial001_py310.py hl[16] *}

...y declara su tipo como el modelo que creaste, `Item`.

## Resultados

Con solo esa declaración de tipo en Python, **FastAPI** hará lo siguiente:

* Leer el body del request como JSON.
* Convertir los tipos correspondientes (si es necesario).

        }

        @Override
        public String getServletPath() {
            return "";
        }

        @Override
        public jakarta.servlet.http.HttpSession getSession(boolean create) {
            return null;
        }

        @Override
        public jakarta.servlet.http.HttpSession getSession() {
            return null;
        }

        @Override

        Set<String> result = labelTypeHelper.getMatchedLabelValueSet("/test/path");
        assertNotNull(result);
        // Result depends on test data configuration
    }

    // Helper method to create test data
    private List<LabelType> createTestLabelTypeList() {
        List<LabelType> labelTypeList = new ArrayList<>();

        LabelType labelType1 = new LabelType();
        labelType1.setName("Test Label 1");

        verify(request, times(1)).getOverrideTimeout();
    }

    @Test
    @DisplayName("Test Request with concrete implementation")
    void testConcreteImplementation() {
        // Create a concrete implementation for testing
        TestRequest testRequest = new TestRequest();

        // Test initResponse
        CommonServerMessageBlockResponse testResponse = testRequest.initResponse(context);

#### Pydantic's `.dict()` { #pydantics-dict }

`user_in` is a Pydantic model of class `UserIn`.

Pydantic models have a `.dict()` method that returns a `dict` with the model's data.

So, if we create a Pydantic object `user_in` like:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

and then we call:

```Python
user_dict = user_in.dict()
```

    private boolean useMultiChannelExplicitlySet = false;
    private boolean channelBindingPolicyExplicitlySet = false;

    /**
     * Create a configuration backed by properties
     *
     * @param props properties object containing JCIFS configuration settings
     * @throws CIFSException if configuration initialization fails
     */