* font/woff} to be the correct media type for WOFF, but this may be necessary in certain
   * situations for compatibility.
   *
   * @since 17.0
   */
  public static final MediaType WOFF = createConstant(APPLICATION_TYPE, "font-woff");

  /**
   * <a href="https://tools.ietf.org/html/rfc8081">RFC 8081</a> declares {@link #FONT_WOFF2

   * font/woff} to be the correct media type for WOFF, but this may be necessary in certain
   * situations for compatibility.
   *
   * @since 17.0
   */
  public static final MediaType WOFF = createConstant(APPLICATION_TYPE, "font-woff");

  /**
   * <a href="https://tools.ietf.org/html/rfc8081">RFC 8081</a> declares {@link #FONT_WOFF2

///

{* ../../docs_src/security/tutorial005_an_py310.py hl[157] *}

## Declare scopes in *path operations* and dependencies { #declare-scopes-in-path-operations-and-dependencies }

Now we declare that the *path operation* for `/users/me/items/` requires the scope `items`.

For this, we import and use `Security` from `fastapi`.

{*../../docs_src/python_types/tutorial004.py hl[2] *}

## Déclarer des types

Vous venez de voir là où les types sont généralement déclarés : dans les paramètres de fonctions.

C'est aussi ici que vous les utiliseriez avec **FastAPI**.

### Types simples

Vous pouvez déclarer tous les types  de Python, pas seulement `str`.

Comme par exemple :

* `int`
* `float`

## `response_model` Parameter { #response-model-parameter }

There are some cases where you need or want to return some data that is not exactly what the type declares.

For example, you could want to **return a dictionary** or a database object, but **declare it as a Pydantic model**. This way the Pydantic model would do all the data documentation, validation, etc. for the object that you returned (e.g. a dictionary or database object).

q: Annotated[str | None, Query(min_length=3)] = None
```

////

So, when you need to declare a value as required while using `Query`, you can simply not declare a default value:

{* ../../docs_src/query_params_str_validations/tutorial006_an_py39.py hl[9] *}

### Required, can be `None` { #required-can-be-none }

Because each SQLModel model is also a Pydantic model, you can use it in the same **type annotations** that you could use Pydantic models.

For example, if you declare a parameter of type `Hero`, it will be read from the **JSON body**.

The same way, you can declare it as the function's **return type**, and then the shape of the data will show up in the automatic API docs UI.

            assertNotNull(e.getCause());
            assertTrue(e.getCause() instanceof IllegalArgumentException);
        }
    }

    /**
     * Test exception in method that declares throws
     */
    public void test_exceptionInMethod() {
        try {
            methodThatThrowsException();
            fail("Should have thrown CrawlerSystemException");

...
DATA divtab<>+0x3c(SB)/4, $0x81828384
GLOBL divtab<>(SB), RODATA, $64

GLOBL runtime·tlsoffset(SB), NOPTR, $4
</pre>

<p>
declares and initializes <code>divtab&lt;&gt;</code>, a read-only 64-byte table of 4-byte integer values,
and declares <code>runtime·tlsoffset</code>, a 4-byte, implicitly zeroed variable that
contains no pointers.
</p>

<p>
There may be one or two arguments to the directives.

   * declaration of a method with the same name and formal parameters as {@link Object#equals} that
   * is not public and boolean-returning, or that declares any type parameters, would be rejected at
   * compile-time.
   */
  private static boolean isEquals(Member member) {
    if (!(member instanceof Method)) {
      return false;
    }