assertThat(func.toString()).isEqualTo(toString);
    assertEquals(value, func.hashBytes(bytes).padToLong());
  }

  private static void assertHash32(
      int expected, ImmutableSupplier<Checksum> supplier, String input) {
    byte[] bytes = HashTestUtils.ascii(input);
    String toString = "name";
    HashFunction func = new ChecksumHashFunction(supplier, 32, toString);

# Дополнительные типы данных { #extra-data-types }

До сих пор вы использовали простые типы данных, такие как:

* `int`
* `float`
* `str`
* `bool`

Но вы также можете использовать и более сложные типы.

При этом у вас останутся те же возможности, что и до сих пор:

* Отличная поддержка редактора кода.
* Преобразование данных из входящих запросов.
* Преобразование данных для ответа.
* Валидация данных.

from pydantic import BaseModel


class Model1(BaseModel):
    foo: str
    bar: str


class Model2(BaseModel):
    ref: Model1
    baz: str


class Model3(BaseModel):
    name: str
    age: int
    ref2: Model2


app = FastAPI()


@app.get(
    "/simple_include",
    response_model=Model2,
    response_model_include={"baz": ..., "ref": {"foo"}},
)
def simple_include():

    /**
     * Default constructor.
     */
    public JobHelper() {
        // Default constructor
    }

    /** Monitor interval in seconds (default: 1 hour) */
    protected int monitorInterval = 60 * 60;// 1hour

    /** Thread-local storage for job runtime information */
    protected ThreadLocal<LaJobRuntime> jobRuntimeLocal = new ThreadLocal<>();

    /**

    }

    private static class ExecResult {
        private final String[] args;
        private final int code;
        private final String stdout;
        private final String stderr;

        public ExecResult(String[] args, int code, String stdout, String stderr) {
            this.args = args;
            this.code = code;
            this.stdout = stdout;

from pydantic import BaseModel

# Bir değişkeni str olarak belirt
# ve fonksiyon içinde editör desteği al
def main(user_id: str):
    return user_id


# Bir Pydantic modeli
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Sonra şöyle kullanabilirsiniz:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",

Ayrıca istediğiniz herhangi bir şeyi döndürebilir.

Bu örnekte, bu dependency şunları bekler:

* `str` olan, opsiyonel bir query parametresi `q`.
* `int` olan, opsiyonel bir query parametresi `skip` ve varsayılanı `0`.
* `int` olan, opsiyonel bir query parametresi `limit` ve varsayılanı `100`.

Sonra da bu değerleri içeren bir `dict` döndürür.

/// info | Bilgi

     *
     * @param port the port number for the Tomcat server
     * @param contextPath the context path for the web application
     */
    public FessBoot(final int port, final String contextPath) {
        super(port, contextPath);
    }

    /**
     * Prepares and returns the web application path.

    assertFalse(fakePool.hasNext());
  }

  public void testOrdering() {
    List<Integer> callOrder = new ArrayList<>();

    class FakeOp implements Runnable {
      final int op;

      FakeOp(int op) {
        this.op = op;
      }

      @Override
      public void run() {
        callOrder.add(op);
      }
    }

    e.execute(new FakeOp(0));

    private boolean enableBasic;
    private boolean insecureBasic;
    private String realm;

    @Override
    public void init(final FilterConfig filterConfig) throws ServletException {
        String name;
        int level;

        /* Set jcifs.smb1 properties we know we want; soTimeout and cachePolicy to 30min.
         */
        Config.setProperty("jcifs.smb1.smb.client.soTimeout", "1800000");