You can return a `dict`, `list`, singular values as `str`, `int`, etc.

You can also return Pydantic models (you'll see more about that later).

There are many other objects and models that will be automatically converted to JSON (including ORMs, etc). Try using your favorite ones, it's highly probable that they are already supported.

### Step 6: Deploy it { #step-6-deploy-it }

Consulta la sección `### Content of code blocks` en el prompt general en `scripts/translate.py`.

////

## Pestañas y cajas coloreadas { #tabs-and-colored-boxes }

//// tab | Prueba

/// info | Información
Algo de texto
///

/// note | Nota
Algo de texto
///

/// note | Detalles técnicos
Algo de texto
///

   * Calling this method is as thread-safe as calling that method.
   *
   * @param collection a collection of {@code Character} objects
   * @return an array containing the same values as {@code collection}, in the same order, converted
   *     to primitives
   * @throws NullPointerException if {@code collection} or any of its elements is null
   */
  public static char[] toArray(Collection<Character> collection) {

By declaring types for your variables, editors and tools can give you better support.

This is just a **quick tutorial / refresher** about Python type hints. It covers only the minimum necessary to use them with **FastAPI**... which is actually very little.

**FastAPI** is all based on these type hints, they give it many advantages and benefits.

            // Given
            byte[] buffer = new byte[60];
            SMBUtil.writeInt2(60, buffer, 0);

            // Use proper millisecond times that will be converted correctly
            long creationTimeMs = System.currentTimeMillis();
            long lastAccessTimeMs = creationTimeMs + 100;
            long lastWriteTimeMs = creationTimeMs + 200;

try:
    import email_validator

    assert email_validator  # make autoflake ignore the unused import
    from pydantic import EmailStr
except ImportError:  # pragma: no cover

    class EmailStr(str):  # type: ignore
        @classmethod
        def __get_validators__(cls) -> Iterable[Callable[..., Any]]:
            yield cls.validate

        @classmethod

    if (http2Connection == null) return false

    // 2. The routes must share an IP address.
    if (routes == null || !routeMatchesAny(routes)) return false

    // 3. This connection's server certificates must cover the new host.
    if (address.hostnameVerifier !== OkHostnameVerifier) return false
    if (!supportsUrl(address.url)) return false

    // 4. Certificate pinning must match the host.
    try {

        @CsvSource({ "0, 0", "1, User", "2, Domain group", "3, Domain", "4, Local group", "5, Builtin group", "6, Deleted", "7, Invalid",
                "8, Unknown" })
        @DisplayName("getType and getTypeText cover all types")
        void testGetTypeAndText(int type, String text) {
            byte[] ident = new byte[] { 0, 0, 0, 0, 0, 5 };
            SID sid = new SID(buildSidT((byte) 1, ident, 42), type, "DOM", "acct", false);

try:
    from pydantic_core.core_schema import (
        with_info_plain_validator_function as with_info_plain_validator_function,
    )
except ImportError:  # pragma: no cover
    from pydantic_core.core_schema import (
        general_plain_validator_function as with_info_plain_validator_function,  # noqa: F401
    )

RequiredParam = PydanticUndefined
Undefined = PydanticUndefined

                
                // Clear failover state on success
                failoverStates.remove(channel.getChannelId());
                
                log.info("Successfully recovered channel {}", channel.getChannelId());
                
            } catch (Exception e) {
                log.warn("Failed to recover channel {}: {}", 
                    channel.getChannelId(), e.getMessage());