If you find yourself wishing for a feature that doesn't exist in Elasticsearch, you are probably not alone. There are bound to be others out there with similar needs. Many of the features that Elasticsearch has today have been added because our users saw the need.
Open an issue on our [issues list](https://github.com/elastic/elasticsearch/issues) on GitHub which describes the feature you would like to see, why you need it, and how it should work.

 * complete details.
 *
 * @deprecated NTLMv1 only
 */
/**
 * An HTTP servlet filter that provides NTLM authentication support.
 * This filter allows web applications to authenticate users via NTLM/Windows authentication.
 */
@Deprecated
public class NtlmHttpFilter implements Filter {

    /**
     * Default constructor.
     */
    public NtlmHttpFilter() {
        // Default constructor

En muchos casos tu app de FastAPI será más grande, y probablemente usarás tags para separar diferentes grupos de *path operations*.

Por ejemplo, podrías tener una sección para **items** y otra sección para **users**, y podrían estar separadas por tags:

{* ../../docs_src/generate_clients/tutorial002_py310.py hl[21,26,34] *}

### Genera un Cliente TypeScript con tags { #generate-a-typescript-client-with-tags }

  }

  /**
   * Returns a string consisting of a specific number of concatenated copies of an input string. For
   * example, {@code repeat("hey", 3)} returns the string {@code "heyheyhey"}.
   *
   * <p><b>Java 11+ users:</b> use {@code string.repeat(count)} instead.
   *
   * @param string any non-null string
   * @param count the number of times to repeat it; a nonnegative integer

Em muitos casos, sua aplicação FastAPI será maior, e você provavelmente usará tags para separar diferentes grupos de *operações de rota*.

Por exemplo, você poderia ter uma seção para **items** e outra seção para **users**, e elas poderiam ser separadas por tags:

{* ../../docs_src/generate_clients/tutorial002_py310.py hl[21,26,34] *}

### Gere um cliente TypeScript com Tags { #generate-a-typescript-client-with-tags }

Обратите внимание, что нигде в коде не используется открытый текст пароля "`secret`", мы используем только его хэшированную версию.

///

<img src="/img/tutorial/security/image08.png">

Вызвав эндпоинт `/users/me/`, вы получите ответ в виде:

```JSON
{
  "username": "johndoe",
  "email": "******@****.***",
  "full_name": "John Doe",
  "disabled": false
}
```

   * accomplished with {@link Optional#or(Object) first.or(second)}. That approach also allows for
   * lazy evaluation of the fallback instance, using {@link Optional#or(Supplier)
   * first.or(supplier)}.
   *
   * <p><b>Java 9 users:</b> use {@link Objects#requireNonNullElse} instead. For lazy evaluation of
   * the fallback, use {@link Objects#requireNonNullElseGet Objects.requireNonNullElseGet(first, ()
   * -> second)}}.
   *

       * it would check hash codes as an optimization when appropriate. If we
       * did these things, it would just make things worse for the most
       * performance-conscious users.
       */
      if (key.equals(candidateKey)) {
        return entry.getValue();
      }
    }
    return null;
  }

  @Override
  public void forEach(BiConsumer<? super K, ? super V> action) {

Remarquez qu'à aucun endroit du code le mot de passe en clair « secret » n'apparaît, nous n'avons que la version hachée.

///

<img src="/img/tutorial/security/image08.png">

Appelez le point de terminaison `/users/me/`, vous obtiendrez la réponse suivante :

```JSON
{
  "username": "johndoe",
  "email": "******@****.***",
  "full_name": "John Doe",
  "disabled": false
}
```

        ":tf_buffer_hdrs",
        ":tf_datatype_hdrs",
        ":tf_status_headers",
        ":tf_tensor_hdrs",
        # TODO: Only include tf_tstring_hdrs. Don't expose the implementation of TF_TString to API
        # users.
        ":tf_tstring",
        "//tensorflow/core:protos_all_cc",
    ],
)

tf_cuda_library(
    name = "c_api_internal",
    hdrs = [
        "c_api.h",
        "c_api_internal.h",