// Provide two implementations: an anonymous class and a Mockito mock
    static Stream<Arguments> implementations() {
        SessionSetupHandler anon = new SessionSetupHandler() {
            // no methods to implement (marker interface)
        };
        SessionSetupHandler mock = mock(SessionSetupHandler.class);
        return Stream.of(Arguments.of(anon), Arguments.of(mock));
    }

    @Test

Nesta seção, veremos como usar outros middlewares.

## Adicionando middlewares ASGI

Como o **FastAPI** é baseado no Starlette e implementa a especificação <abbr title="Asynchronous Server Gateway Interface">ASGI</abbr>, você pode usar qualquer middleware ASGI.

* kube-apiserver: oidc authentication now supports requiring specific claims with `--oidc-required-claim=<claim>=<value>` ([#62136](https://github.com/kubernetes/kubernetes/pull/62136), [@rithujohn191](https://github.com/rithujohn191))
* Implements verbosity logging feature for kubeadm commands ([#57661](https://github.com/kubernetes/kubernetes/pull/57661), [@vbmade2000](https://github.com/vbmade2000))

This can make it a lot easier for your users to **implement their APIs** to receive your **webhook** requests, they might even be able to autogenerate some of their own API code.

/// info

Webhooks are available in OpenAPI 3.1.0 and above, supported by FastAPI `0.99.0` and above.

pkg image/png, type Encoder struct
pkg image/png, type Encoder struct, CompressionLevel CompressionLevel

# CL 101750048 math: implement Nextafter32, Robert Griesemer <******@****.***>
pkg math, func Nextafter32(float32, float32) float32

# CL 93550043 math/big: implement Rat.Float32, Robert Griesemer <******@****.***>
pkg math/big, method (*Rat) Float32() (float32, bool)

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    title: Stainless | Generate best-in-class SDKs
    img: https://fastapi.tiangolo.com/img/sponsors/stainless.png
  - url: https://www.permit.io/blog/implement-authorization-in-fastapi?utm_source=github&utm_medium=referral&utm_campaign=fastapi
    title: Fine-Grained Authorization for FastAPI
    img: https://fastapi.tiangolo.com/img/sponsors/permit.png

package com.google.common.util.concurrent;

import com.google.common.annotations.GwtCompatible;
import java.util.concurrent.ScheduledFuture;
import org.jspecify.annotations.Nullable;

/**
 * Helper interface to implement both {@link ListenableFuture} and {@link ScheduledFuture}.
 *
 * @author Anthony Zana
 * @since 15.0
 */
@GwtCompatible
public interface ListenableScheduledFuture<V extends @Nullable Object>

 * thought of as overkill; however, it's difficult to determine which proper subset of this massive
 * set would be sufficient to expose any possible bug. Brute force is simpler.
 *
 * <p>To use this class the concrete subclass must implement the {@link
 * IteratorTester#newTargetIterator()} method. This is because it's impossible to test an Iterator
 * without changing its state, so the tester needs a steady supply of fresh Iterators.
 *

import org.dbflute.optional.OptionalThing;

/**
 * Abstract base class for rank fusion searchers in the Fess search system.
 * Rank fusion searchers are responsible for executing search queries and
 * can be combined to implement advanced ranking strategies.
 */
public abstract class RankFusionSearcher {
    /** The name of this searcher, lazily initialized. */
    protected String name;

    /**

    *   Added
        [`tf.keras.models.experimental.SharpnessAwareMinimization`](https://www.tensorflow.org/api_docs/python/tf/keras/models/experimental/SharpnessAwareMinimization).
        This class implements the sharpness-aware minimization technique, which
        boosts model performance on various tasks, e.g., ResNet on image
        classification.

*   `tf.data`: