name: Latest Changes

on:
  pull_request_target:
    branches:
      - master
    types:
      - closed
  workflow_dispatch:
    inputs:
      number:
        description: PR number
        required: true
      debug_enabled:
        description: 'Run the build with tmate debugging enabled (https://github.com/marketplace/actions/debugging-with-tmate)'
        required: false
        default: 'false'

jobs:
  latest-changes:

# Release 2.21.0

## TensorFlow

<INSERT SMALL BLURB ABOUT RELEASE FOCUS AREA AND POTENTIAL TOOLCHAIN CHANGES>

### Breaking Changes

* <DOCUMENT BREAKING CHANGES HERE>
* <THIS SECTION SHOULD CONTAIN API, ABI AND BEHAVIORAL BREAKING CHANGES>

### Known Caveats

* <CAVEATS REGARDING THE RELEASE (BUT NOT BREAKING CHANGES).>
* <ADDING/BUMPING DEPENDENCIES SHOULD GO HERE>
* <KNOWN LACK OF SUPPORT ON SOME PLATFORM, SHOULD GO HERE>

 * href="https://github.com/google/guava/wiki/PrimitivesExplained">primitive utilities</a>.
 *
 * @author Kevin Bourrillion
 * @since 1.0
 */
@GwtCompatible
public final class Chars {
  private Chars() {}

  /**
   * The number of bytes required to represent a primitive {@code char} value.
   *
   * <p>Prefer {@link Character#BYTES} instead.
   */

 * href="https://github.com/google/guava/wiki/PrimitivesExplained">primitive utilities</a>.
 *
 * @author Kevin Bourrillion
 * @since 1.0
 */
@GwtCompatible
public final class Chars {
  private Chars() {}

  /**
   * The number of bytes required to represent a primitive {@code char} value.
   *
   * <p>Prefer {@link Character#BYTES} instead.
   */

        return false;
      }
    }

    @Override
    /*
     * We should probably not have implemented equals() at all, but given that we did, we can't
     * provide a better implementation than the input Collection, at least without dramatic changes
     * like copying it to a new Set—which might then test for element equality differently.
     */
    @SuppressWarnings("UndefinedEquals")

        User user = createTestUser("testuser");
        for (int i = 0; i < chains.size(); i++) {
            User nextUser = createTestUser("user" + (i + 1));
            chains.get(i).loadResult = nextUser;
        }

        authenticationManager.load(user);

        // Verify chains were called in order
        assertEquals(user.getName(), chains.get(0).lastLoadedUser.getName());

///

## Manipular tokens JWT

Importe os módulos instalados.

Crie uma chave secreta aleatória que será usada para assinar os tokens JWT.

Para gerar uma chave secreta aleatória e segura, use o comando:

<div class="termy">

```console
$ openssl rand -hex 32

09d25e094faa6ca2556c818166b7a9563b93f7099f6f0f4caa6cf63b88e8d3e7

     * Notify when file size changes
     */
    public static final int FILE_NOTIFY_CHANGE_SIZE = 0x8;
    /**
     * Notify when last write time changes
     */
    public static final int FILE_NOTIFY_CHANGE_LAST_WRITE = 0x10;
    /**
     * Notify when last access time changes
     */
    public static final int FILE_NOTIFY_CHANGE_LAST_ACCESS = 0x20;
    /**
     * Notify when creation time changes
     */

---

FastAPI é um moderno e rápido (alta performance) _framework web_ para construção de APIs com Python, baseado nos _type hints_ padrões do Python.

Os recursos chave são:

* **Rápido**: alta performance, equivalente a **NodeJS** e **Go** (graças ao Starlette e Pydantic). [Um dos frameworks mais rápidos disponíveis](#performance).

Quando tem uma operação que exigirá espera antes de dar os resultados e tem suporte para esses novos recursos do Python, você pode escrever assim:

```Python
burgers = await get_burgers(2)
```