import org.dbflute.optional.OptionalThing;
import org.lastaflute.web.Execute;
import org.lastaflute.web.response.ActionResponse;
import org.lastaflute.web.response.HtmlResponse;
import org.lastaflute.web.response.render.RenderData;
import org.lastaflute.web.ruts.process.ActionRuntime;
import org.lastaflute.web.validation.VaErrorHook;
import org.lastaflute.web.validation.exception.ValidationErrorException;

import jakarta.annotation.Resource;

 * arbitrary q-quantiles, use {@link #scale scale(q)}.
 *
 * <p>These examples all take a copy of your dataset. If you have a double array, you are okay with
 * it being arbitrarily reordered, and you want to avoid that copy, you can use {@code
 * computeInPlace} instead of {@code compute}.
 *
 * <h3>Definition and notes on interpolation</h3>
 *

     * @return The chat client.
     */
    public static ChatClient getChatClient() {
        return getComponent(CHAT_CLIENT);
    }

    /**
     * Gets the markdown renderer component.
     * @return The markdown renderer.
     */
    public static MarkdownRenderer getMarkdownRenderer() {
        return getComponent(MARKDOWN_RENDERER);
    }

    /**
     * Gets a component by its class type.

    return app


_T = TypeVar("_T")


# Vendored from starlette.routing to avoid importing private symbols
class _AsyncLiftContextManager(AbstractAsyncContextManager[_T]):
    """
    Wraps a synchronous context manager to make it async.

    This is vendored from Starlette to avoid importing private symbols.
    """

from fastapi.responses import HTMLResponse, JSONResponse, PlainTextResponse
from fastapi.testclient import TestClient


class ORJSONResponse(JSONResponse):
    media_type = "application/x-orjson"

    def render(self, content: Any) -> bytes:
        return orjson.dumps(content)


class OverrideResponse(JSONResponse):
    media_type = "application/x-override"


app = FastAPI(default_response_class=ORJSONResponse)

          .isWithin(ALLOWED_ERROR)
          .of(expectedLargeDatasetPercentile(index));
    }

    // Assert that the dataset contains the same elements after the in-place computation (although
    // they may be reordered). We only do this for one index rather than for all indexes, as it is
    // quite expensive (quadratic in the size of PSEUDORANDOM_DATASET).
    double[] dataset = Doubles.toArray(PSEUDORANDOM_DATASET);

          .isWithin(ALLOWED_ERROR)
          .of(expectedLargeDatasetPercentile(index));
    }

    // Assert that the dataset contains the same elements after the in-place computation (although
    // they may be reordered). We only do this for one index rather than for all indexes, as it is
    // quite expensive (quadratic in the size of PSEUDORANDOM_DATASET).
    double[] dataset = Doubles.toArray(PSEUDORANDOM_DATASET);

Mais voici le point clé.

La partie sécurité et injection de dépendances est écrite une seule fois.

Et vous pouvez la rendre aussi complexe que vous le souhaitez. Et malgré tout, ne l'écrire qu'une seule fois, en un seul endroit. Avec toute la flexibilité.

///

## OpenID Connect { #openid-connect }

OpenID Connect est une autre spécification, basée sur **OAuth2**.

Elle étend simplement OAuth2 en précisant certains points relativement ambigus dans OAuth2, afin d'essayer de la rendre plus interopérable.

Par exemple, la connexion Google utilise OpenID Connect (qui, en arrière-plan, utilise OAuth2).

Mais la connexion Facebook ne prend pas en charge OpenID Connect. Elle a sa propre variante d'OAuth2.

      placeholder: |
        e.g.,
        public static <E> ImmutableList<E> of();
        public static <E> ImmutableList<E> of(E element);
        public static <E> ImmutableList<E> of(E e1, E e2);
        ...
      render: java
    validations:
      required: false

  - type: markdown
    attributes:
      value: >
        #### Ubiquity: provide concrete use cases