TF_Library* TF_LoadPluggableDeviceLibrary(const char* library_filename,
                                          TF_Status* status) {
#if defined(IS_MOBILE_PLATFORM) || defined(IS_SLIM_BUILD)
  status->status = tensorflow::errors::Unimplemented(
      "PluggableDevice plugin functionality is not supported on mobile");
  return nullptr;
#else
  TF_Library* lib_handle = new TF_Library;
  static tensorflow::mutex mu(tensorflow::LINKER_INITIALIZED);

<span style="color: green;">INFO</span>:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```

</div>

### Redirects with HTTPS { #redirects-with-https }

For example, let's say you define a *path operation* `/items/`:

{* ../../docs_src/behind_a_proxy/tutorial001_01_py39.py hl[6] *}

If the client tries to go to `/items`, by default, it would be redirected to `/items/`.

   * contents to empty. By contrast, the non-GWT constructor with the same signature uses the
   * comparator only as a comparator. It does NOT assume empty contents. (It requires an
   * implementation of iterator() to define its contents, and methods like contains() are
   * implemented in terms of that method (though they will likely be overridden by subclasses for

    * Como as estruturas de dados do Pydantic são apenas instâncias de classes que você define, o preenchimento automático, linting, mypy e a sua intuição devem funcionar corretamente com seus dados validados.
* Valida **estruturas complexas**:

  manager.

* Assumptions: What is Offline?

  For the purposes of determining the areas sensitive to offline status,
  it is definitely useful to define what the offline state really means.

  [[1]] This is obvious, but the network/internet is unavailable.

  [[2]] Localhost (127.0.0.1) may also be unavailable if the whole
        network stack is offline.

void TF_DeleteServer(TF_Server* server) {
#if !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
  delete server;
#endif  // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
}

void TF_RegisterLogListener(void (*listener)(const char*)) {
#if !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
  tensorflow::logging::RegisterListener(listener);
#endif  // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
}

     *
     * That combination upsets NullPointerTester, which wants any call that passes null for a
     * non-@Nullable parameter to trigger a NullPointerException.
     *
     * (We still define this empty method to keep PackageSanityTests from generating its own
     * automated nullness tests, which would fail.)
     */
  }

  private static final Object IGNORE_ME =
      new Object() {

 * all elements in priority order and place them in another collection.
 *
 * <p>Operations on this class make no guarantees about the ordering of elements with equal
 * priority. If you need to enforce an ordering, you can define custom classes or comparators that
 * use a secondary key to break ties in primary priority values. For example, here is a class that
 * applies first-in-first-out tie-breaking to comparable elements. To use it, you would insert a

Usamos `int | None` para o campo de chave primária para que, no código Python, possamos *criar um objeto sem um `id`* (`id=None`), assumindo que o banco de dados irá *gerá-lo ao salvar*. O SQLModel entende que o banco de dados fornecerá o `id` e *define a coluna como um `INTEGER` não nulo* no esquema do banco de dados. Veja a <a href="https://sqlmodel.tiangolo.com/tutorial/create-db-and-table/#primary-key-id" class="external-link" target="_blank">documentação do SQLModel sobre chaves primárias</a>...

Create a variable `ALGORITHM` with the algorithm used to sign the JWT token and set it to `"HS256"`.

Create a variable for the expiration of the token.

Define a Pydantic Model that will be used in the token endpoint for the response.

Create a utility function to generate a new access token.

{* ../../docs_src/security/tutorial004_an_py310.py hl[4,7,13:15,29:31,79:87] *}