- Fixing a bug without changing a public API.
  - Fixing or improving documentation.
  - Improvements to Maven configuration.

Guidelines for any code contributions:

1.  Any significant changes should be accompanied by tests. The project already
    has good test coverage, so look at some existing tests if you're unsure how
    to go about it.

   *     r.run();
   *   }
   * }
   * }
   *
   * <p>This should be preferred to {@link #newDirectExecutorService()} because implementing the
   * {@link ExecutorService} subinterface necessitates significant performance overhead.
   *
   * @since 18.0
   */
  public static Executor directExecutor() {
    return DirectExecutor.INSTANCE;
  }

  /**

This setting will be removed in Go 1.27.

Go 1.22 changed how the runtime interacts with transparent huge pages on Linux.
In particular, a common default Linux kernel configuration can result in
significant memory overheads, and Go 1.22 no longer works around this default.
To work around this issue without adjusting kernel settings, transparent huge
pages can be disabled for Go memory with the

   *
   * <p>For the case of {@link RoundingMode#HALF_EVEN}, this implementation uses the IEEE 754
   * default rounding mode: if the two nearest representable values are equally near, the one with
   * the least significant bit zero is chosen. (In such cases, both of the nearest representable
   * values are even integers; this method returns the one that is a multiple of a greater power of
   * two.)
   *

large the value of x is. // // The output will be resized to the size of m and overwritten. // //go:norace func (out *Nat) Mod(x *Nat, m *Modulus) *Nat { out.resetFor(m) // Working our way from the most significant to the least significant limb, // we can insert each limb at the least significant position, shifting all // previous limbs left by _W. This way each limb will get shifted by the // correct number of bits. We can insert at least N - 1 limbs without // overflowing m. After that, we need...

* `tf.keras`
    * `Model.compile` now support `steps_per_execution='auto'` as a parameter, allowing automatic tuning of steps per execution during `Model.fit`,
    `Model.predict`, and `Model.evaluate` for a significant performance boost.

## Thanks to our Contributors

This release contains contributions from many people at Google, as well as:

# Despliegue { #deployment }

Desplegar una aplicación **FastAPI** es relativamente fácil.

## Qué Significa Despliegue { #what-does-deployment-mean }

**Desplegar** una aplicación significa realizar los pasos necesarios para hacerla **disponible para los usuarios**.

browser("Browser")
proxy["Proxy on http://0.0.0.0:9999/api/v1/app"]
server["Server on http://127.0.0.1:8000/app"]

browser --> proxy
proxy --> server
```

/// tip | Dica

O IP `0.0.0.0` é comumente usado para significar que o programa escuta em todos os IPs disponíveis naquela máquina/servidor.

///

//// tab | Python 3.10+

```Python
q: Annotated[str | None] = None
```

////

//// tab | Python 3.9+

```Python
q: Annotated[Union[str, None]] = None
```

////

Ambas as versões significam a mesma coisa, `q` é um parâmetro que pode ser `str` ou `None`, e por padrão é `None`.

Agora vamos pular para a parte divertida. 🎉

# Implantação { #deployment }

Implantar uma aplicação **FastAPI** é relativamente fácil.

## O que significa Implantação { #what-does-deployment-mean }

Implantar uma aplicação significa executar as etapas necessárias para torná-la disponível para os usuários.