private File tempDir;

    @Override
    protected void setUp(TestInfo testInfo) throws Exception {
        super.setUp(testInfo);
        thumbnailJob = new GenerateThumbnailJob();

        // Create temporary directory
        tempDir = Files.createTempDirectory("test").toFile();
        tempDir.deleteOnExit();

        // Setup test components
        testProcessHelper = new TestProcessHelper();

        config = new PropertyConfiguration(props);
    }

    @Test
    @DisplayName("Test constructor with SMB_INFO_ALLOCATION")
    void testConstructorWithSmbInfoAllocation() {
        // Create instance with SMB_INFO_ALLOCATION
        trans2QueryFSInfo = new Trans2QueryFSInformation(config, FileSystemInformation.SMB_INFO_ALLOCATION);

        // Verify initialization
        assertNotNull(trans2QueryFSInfo);

      <plugin>
        <groupId>org.codehaus.mojo</groupId>
        <artifactId>buildnumber-maven-plugin</artifactId>
        <executions>
          <execution>
            <id>create-buildnumber</id>
            <goals>
              <goal>create</goal>
            </goals>
            <configuration>
              <doCheck>false</doCheck>
              <doUpdate>false</doUpdate>

Use as follows:

* Have a language specific prompt - `docs/{language code}/llm-prompt.md`.
* Do a fresh translation of this document into your desired target language (see e.g. the `translate-page` command of the `translate.py`). This will create the translation under `docs/{language code}/docs/_llm-test.md`.
* Check if things are okay in the translation.
* If necessary, improve your language specific prompt, the general prompt, or the English document.

  const int64_t n = data.size();
  absl::Status status;
  for (const std::vector<int64_t>& dims :
       std::vector<std::vector<int64_t>>{{n}, {1, n}, {n, 1}, {n / 2, 2}}) {
    // Create C++ Tensor
    Tensor src(tensorflow::DT_STRING, TensorShape(dims));
    for (int64_t i = 0; i < src.NumElements(); ++i) {
      src.flat<tstring>()(i) = data[i];
    }

        }
    }

    // --- URL special characters through real connect() path ---

    @Test
    public void test_UrlWithSpecialCharacters_ThroughRealConnectPath() throws Exception {
        // ## Arrange ##
        // URLs with special characters (spaces, curly braces, pipes) must be accepted
        // by the real connect() path using new URL()

It was created to generate the HTML in the backend, not to create APIs used by a modern frontend (like React, Vue.js and Angular) or by other systems (like <abbr title="Internet of Things">IoT</abbr> devices) communicating with it.

</div>

**Note**: Make sure you put `"fastapi[standard]"` in quotes to ensure it works in all terminals.

## Example

### Create it

Create a file `main.py` with:

```Python
from fastapi import FastAPI

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: str | None = None):

        verify(mockRequest).setSignSeq(10);
    }

    @Test
    @DisplayName("Test verify method with valid signature")
    void testVerifyWithValidSignature() {
        // Create digest for signing
        SMB1SigningDigest signDigest = new SMB1SigningDigest(testMacSigningKey, false, 10);
        byte[] data = new byte[100];

        // Prepare mock request

///

### Шаг 2: создайте экземпляр `FastAPI` { #step-2-create-a-fastapi-instance }

{* ../../docs_src/first_steps/tutorial001_py310.py hl[3] *}

Здесь переменная `app` будет экземпляром класса `FastAPI`.

Это будет основная точка взаимодействия для создания всего вашего API.

### Шаг 3: создайте *операцию пути (path operation)* { #step-3-create-a-path-operation }

#### Путь (path) { #path }